From bccc78745b817acc9ff907c4cb7469cdc34ee35c Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Wed, 24 Aug 2022 18:36:41 -0700 Subject: [PATCH 01/19] Add files via upload Ochai_Ustacky_Nigeria-COVID-19-Data-Analysis-Using-Python --- ...-COVID-19-Data-Analysis-Using-Python.ipynb | 6142 +++++++++++++++++ 1 file changed, 6142 insertions(+) create mode 100644 Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb diff --git a/Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb b/Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb new file mode 100644 index 00000000..59930572 --- /dev/null +++ b/Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb @@ -0,0 +1,6142 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e4348434", + "metadata": {}, + "source": [ + "Data Collection: Web Scrapping" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "eb9c700f", + "metadata": {}, + "outputs": [], + "source": [ + "# Importing all libraries\n", + "import os\n", + "os.chdir('C:\\\\Users\\\\OCHAI ODEH\\\\Downloads\\\\Nigeriadata')\n", + "import requests\n", + "import numpy as np\n", + "import urllib.request\n", + "import pandas as pd\n", + "import csv\n", + "from bs4 import BeautifulSoup\n", + "import seaborn as sns\n", + "sns.set_style(\"darkgrid\")\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "plt.style.use('fivethirtyeight') \n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2fb9112c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# checking response of server to get url request\n", + "\n", + "url = 'https://covid19.ncdc.gov.ng'\n", + "status_code = requests.get(url)\n", + "status_code" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "416ceaad", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 102877 129 \n", + "1 FCT 29075 146 \n", + "2 Rivers 17680 262 \n", + "3 Kaduna 11467 11 \n", + "4 Oyo 10327 6 \n", + "5 Plateau 10292 18 \n", + "6 Edo 7821 102 \n", + "7 Ogun 5810 11 \n", + "8 Delta 5631 349 \n", + "9 Ondo 5173 315 \n", + "10 Kano 5169 41 \n", + "11 Akwa Ibom 4973 22 \n", + "12 Kwara 4680 441 \n", + "13 Osun 3311 36 \n", + "14 Gombe 3310 6 \n", + "15 Enugu 2952 13 \n", + "16 Anambra 2825 46 \n", + "17 Nasarawa 2777 393 \n", + "18 Imo 2655 7 \n", + "19 Ekiti 2447 46 \n", + "20 Katsina 2418 0 \n", + "21 Abia 2226 11 \n", + "22 Benue 2129 340 \n", + "23 Ebonyi 2064 28 \n", + "24 Bauchi 1979 8 \n", + "25 Borno 1629 5 \n", + "26 Taraba 1473 62 \n", + "27 Bayelsa 1363 10 \n", + "28 Adamawa 1203 68 \n", + "29 Niger 1150 132 \n", + "30 Cross River 873 3 \n", + "31 Sokoto 822 0 \n", + "32 Jigawa 669 2 \n", + "33 Yobe 638 4 \n", + "34 Kebbi 480 10 \n", + "35 Zamfara 375 0 \n", + "36 Kogi 5 0 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 101977 771 \n", + "1 28680 249 \n", + "2 17264 154 \n", + "3 11367 89 \n", + "4 10119 202 \n", + "5 10199 75 \n", + "6 7398 321 \n", + "7 5717 82 \n", + "8 5170 112 \n", + "9 4749 109 \n", + "10 5001 127 \n", + "11 4907 44 \n", + "12 4175 64 \n", + "13 3183 92 \n", + "14 3238 66 \n", + "15 2910 29 \n", + "16 2760 19 \n", + "17 2345 39 \n", + "18 2590 58 \n", + "19 2373 28 \n", + "20 2381 37 \n", + "21 2181 34 \n", + "22 1764 25 \n", + "23 2004 32 \n", + "24 1947 24 \n", + "25 1580 44 \n", + "26 1377 34 \n", + "27 1325 28 \n", + "28 1103 32 \n", + "29 998 20 \n", + "30 845 25 \n", + "31 794 28 \n", + "32 649 18 \n", + "33 625 9 \n", + "34 454 16 \n", + "35 366 9 \n", + "36 3 2 \n" + ] + } + ], + "source": [ + "# Reading NCDC data from url to a DataFrame object.\n", + "url = 'https://covid19.ncdc.gov.ng'\n", + "html = requests.get(url).content\n", + "df_list = pd.read_html(html)\n", + "\n", + "#Saving the data from link to object nig_covid_cases\n", + "nig_covid_cases = df_list[-1]\n", + "print(nig_covid_cases)\n", + "nig_covid_cases.to_csv('ncdcdata.csv')\n" + ] + }, + { + "cell_type": "markdown", + "id": "ee8f610a", + "metadata": {}, + "source": [ + "John Hopkins Data Repository\n", + "Here you will obtain data from the John Hopkins repository. Your task here involves saving the data from the GitHub repo link to DataFrame for further analysis. Find the links below." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "980b61f4", + "metadata": {}, + "outputs": [], + "source": [ + "#Saving the data from John Hopkin's repository's link into a DataFrame object\n", + "\n", + "confirmed_global= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", + "covid19_recovered_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", + "covid19_deaths_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2e75c02c", + "metadata": {}, + "outputs": [], + "source": [ + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "184a6b6a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
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" + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 26,708 2,435 \n", + "1 FCT 9,627 2,840 \n", + "2 Kaduna 4,504 579 \n", + "3 Plateau 4,262 280 \n", + "4 Oyo 3,788 368 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 24,037 236 \n", + "1 6,694 93 \n", + "2 3,877 48 \n", + "3 3,948 34 \n", + "4 3,374 46 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reading some of the dataframes\n", + "covidnig.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8a8ccd9e", + "metadata": {}, + "outputs": [], + "source": [ + "# Combining all 'external' dataframe objects provided using the merge() function on identical column\n", + "merged_t1 = pd.merge(covid_external, Budget_data, on= 'states', how ='outer', sort= True)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "2b982227", + "metadata": {}, + "outputs": [], + "source": [ + "#Renaming of a column is necessary if web scrapped data from NCDC's link is to be merged with 'external' dataframe on isentical column 'states'.\n", + "covidnig_rn = covidnig.rename(columns={'States Affected':'states'})" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "38c0df7a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", + " 2 No. of Cases (on admission) 37 non-null object\n", + " 3 No. Discharged 37 non-null object\n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(1), object(4)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "#Checking if Renaming was successful and type of data in imported data from NCDC's link.\n", + "covidnig_rn.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "f8304c9b", + "metadata": {}, + "outputs": [], + "source": [ + "# values of data are object\n", + "# All data values has to be converted to appropriate type (numeric). We use pd.to_numeric and apply the conversion.\n", + "covidnig_rndf = covidnig_rn[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", + "covidnig_rn[covidnig_rndf] = covidnig_rn[covidnig_rndf].apply(pd.to_numeric,errors='coerce')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "edc5e80b", + "metadata": {}, + "outputs": [], + "source": [ + "covidnig_rn.replace(',','', regex=True, inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "f3fa815d", + "metadata": {}, + "outputs": [], + "source": [ + "#Final merger of external dataframe and NCDC's data also using the pd.merge() function\n", + "merged_t2 = pd.merge(merged_t1,covidnig_rn, on= 'states', how ='outer', sort=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "cfef53ba", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df = merged_t2.append(RealGDP, ignore_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "e6d82b00", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised_budget (Bn)No. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsYearQ1Q2Q3Q4
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic ... Revised_budget (Bn) No. of Cases (Lab Confirmed) \\\n", + "0 0.2 ... 102.70 980.0 \n", + "1 0.7 ... 139.31 355.0 \n", + "2 0.5 ... NaN 395.0 \n", + "3 NaN ... 366.00 NaN \n", + "4 0.0 ... 112.80 299.0 \n", + "\n", + " No. of Cases (on admission) No. Discharged No. of Deaths Year Q1 Q2 \\\n", + "0 25.0 945.0 10.0 NaN NaN NaN \n", + "1 96.0 238.0 21.0 NaN NaN NaN \n", + "2 44.0 342.0 9.0 NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN NaN \n", + "4 6.0 274.0 19.0 NaN NaN NaN \n", + "\n", + " Q3 Q4 \n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Viewing the data\n", + "#Obtain basic information about the merged data using the head() and info() method.\n", + "combined_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "570617ef", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 48 entries, 0 to 47\n", + "Data columns (total 23 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 41 non-null object \n", + " 1 region 37 non-null object \n", + " 2 Population 37 non-null float64\n", + " 3 Overall CCVI Index 37 non-null float64\n", + " 4 Age 37 non-null float64\n", + " 5 Epidemiological 37 non-null float64\n", + " 6 Fragility 37 non-null float64\n", + " 7 Health System 37 non-null float64\n", + " 8 Population Density 37 non-null float64\n", + " 9 Socio-Economic 37 non-null float64\n", + " 10 Transport Availability 37 non-null float64\n", + " 11 Acute IHR 37 non-null float64\n", + " 12 Initial_budget (Bn) 37 non-null float64\n", + " 13 Revised_budget (Bn) 37 non-null float64\n", + " 14 No. of Cases (Lab Confirmed) 21 non-null float64\n", + " 15 No. of Cases (on admission) 35 non-null float64\n", + " 16 No. Discharged 22 non-null float64\n", + " 17 No. of Deaths 37 non-null float64\n", + " 18 Year 7 non-null float64\n", + " 19 Q1 7 non-null float64\n", + " 20 Q2 7 non-null float64\n", + " 21 Q3 7 non-null float64\n", + " 22 Q4 7 non-null float64\n", + "dtypes: float64(21), object(2)\n", + "memory usage: 8.8+ KB\n" + ] + } + ], + "source": [ + "combined_df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "7333933a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "states 37\n", + "Initial_budget (Bn) 37\n", + "Revised_budget (Bn) 37\n", + "dtype: int64" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Budget_data.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "cbb55a48", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "states 37\n", + "region 6\n", + "Population 37\n", + "Overall CCVI Index 11\n", + "Age 11\n", + "Epidemiological 11\n", + "Fragility 11\n", + "Health System 11\n", + "Population Density 11\n", + "Socio-Economic 11\n", + " Transport Availability 11\n", + "Acute IHR 22\n", + "dtype: int64" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "53f0b8ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "States Affected 37\n", + "No. of Cases (Lab Confirmed) 37\n", + "No. of Cases (on admission) 33\n", + "No. Discharged 37\n", + "No. of Deaths 30\n", + "dtype: int64" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "6f484eb5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Year 7\n", + "Q1 7\n", + "Q2 7\n", + "Q3 7\n", + "Q4 7\n", + "dtype: int64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RealGDP.nunique()" + ] + }, + { + "cell_type": "markdown", + "id": "f7eff8be", + "metadata": {}, + "source": [ + "# Viewing the separate external data and NCDC's data: Obtaining basic information about the data using the head() and info() method." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "540f2dee", + "metadata": {}, + "outputs": [], + "source": [ + "covid_external = pd.read_csv('covid_external.csv')\n", + "Budget_data = pd.read_csv('Budget data.csv')\n", + "RealGDP = pd.read_csv('RealGDP.csv')\n", + "covidnig = pd.read_csv('covidnig.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "4cba08be", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
0FCTNorth Central48650000.30.00.90.40.60.90.60.20.79
1PlateauNorth Central47660000.40.50.40.80.30.30.50.30.93
2KwaraNorth Central35240000.30.40.30.20.40.20.60.70.93
3NassarawaNorth Central27830000.10.30.50.90.00.10.60.50.85
4NigerNorth Central62600000.60.00.60.30.70.10.80.80.84
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" + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 FCT North Central 4865000 0.3 0.0 \n", + "1 Plateau North Central 4766000 0.4 0.5 \n", + "2 Kwara North Central 3524000 0.3 0.4 \n", + "3 Nassarawa North Central 2783000 0.1 0.3 \n", + "4 Niger North Central 6260000 0.6 0.0 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.9 0.4 0.6 0.9 \n", + "1 0.4 0.8 0.3 0.3 \n", + "2 0.3 0.2 0.4 0.2 \n", + "3 0.5 0.9 0.0 0.1 \n", + "4 0.6 0.3 0.7 0.1 \n", + "\n", + " Socio-Economic Transport Availability Acute IHR \n", + "0 0.6 0.2 0.79 \n", + "1 0.5 0.3 0.93 \n", + "2 0.6 0.7 0.93 \n", + "3 0.6 0.5 0.85 \n", + "4 0.8 0.8 0.84 " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "520ff38f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object \n", + " 1 region 37 non-null object \n", + " 2 Population 37 non-null int64 \n", + " 3 Overall CCVI Index 37 non-null float64\n", + " 4 Age 37 non-null float64\n", + " 5 Epidemiological 37 non-null float64\n", + " 6 Fragility 37 non-null float64\n", + " 7 Health System 37 non-null float64\n", + " 8 Population Density 37 non-null float64\n", + " 9 Socio-Economic 37 non-null float64\n", + " 10 Transport Availability 37 non-null float64\n", + " 11 Acute IHR 37 non-null float64\n", + "dtypes: float64(9), int64(1), object(2)\n", + "memory usage: 3.6+ KB\n" + ] + } + ], + "source": [ + "covid_external.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "4c915f29", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesInitial_budget (Bn)Revised_budget (Bn)
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
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1FCT96272840669493
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" + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 26708 2435 \n", + "1 FCT 9627 2840 \n", + "2 Kaduna 4504 579 \n", + "3 Plateau 4262 280 \n", + "4 Oyo 3788 368 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 24037 236 \n", + "1 6694 93 \n", + "2 3877 48 \n", + "3 3948 34 \n", + "4 3374 46 " + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "3aba9131", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 States Affected 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", + " 2 No. of Cases (on admission) 37 non-null object\n", + " 3 No. Discharged 37 non-null object\n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(1), object(4)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "covidnig.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "41d9cc75", + "metadata": {}, + "outputs": [], + "source": [ + "# Converting NCDC's data into appropriate data type (from object to int)\n", + "newcovidnig = covidnig[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", + "covidnig[newcovidnig] = covidnig[newcovidnig].apply(pd.to_numeric,errors='coerce')" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "24c38b3c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 States Affected 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null int64 \n", + " 2 No. of Cases (on admission) 37 non-null int64 \n", + " 3 No. Discharged 37 non-null int64 \n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(4), object(1)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "# Checking: conversion is successful\n", + "covidnig.info()" + ] + }, + { + "cell_type": "markdown", + "id": "e69bcb9e", + "metadata": {}, + "source": [ + "# Data Cleaning and Preparation" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "80bead0f", + "metadata": {}, + "outputs": [], + "source": [ + "#Data Cleaning and Preparation: Clean the scraped data\n", + "#Renaming columns of dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "fb588afb", + "metadata": {}, + "outputs": [], + "source": [ + "#Renaming of columns of merged dataframe\n", + "combined_df.rename(columns = {'states':'State', 'region': 'Region', 'Initial_budget (Bn)': 'Initial Budget in Billion', 'Revised_budget (Bn)': 'Revised Budget in Billion', 'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths', 'Q1': 'First Quarter', 'Q2': 'Second Quarter', 'Q3': 'Third Quarter', 'Q4':'Fourth Quarter'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "fd6cac5c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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StateRegionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised Budget in BillionNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of DeathsYearFirst QuarterSecond QuarterThird QuarterFourth Quarter
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " State Region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic ... Revised Budget in Billion \\\n", + "0 0.2 ... 102.70 \n", + "1 0.7 ... 139.31 \n", + "2 0.5 ... NaN \n", + "3 NaN ... 366.00 \n", + "4 0.0 ... 112.80 \n", + "\n", + " Number of Lab Confirmed Cases Number of Cases on Admission \\\n", + "0 980.0 25.0 \n", + "1 355.0 96.0 \n", + "2 395.0 44.0 \n", + "3 NaN NaN \n", + "4 299.0 6.0 \n", + "\n", + " Number of Cases Discharged Number of Deaths Year First Quarter \\\n", + "0 945.0 10.0 NaN NaN \n", + "1 238.0 21.0 NaN NaN \n", + "2 342.0 9.0 NaN NaN \n", + "3 NaN NaN NaN NaN \n", + "4 274.0 19.0 NaN NaN \n", + "\n", + " Second Quarter Third Quarter Fourth Quarter \n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 NaN NaN NaN \n", + "4 NaN NaN NaN \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checking if renamig is successful\n", + "combined_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "2e595642", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "State object\n", + "Region object\n", + "Population float64\n", + "Overall CCVI Index float64\n", + "Age float64\n", + "Epidemiological float64\n", + "Fragility float64\n", + "Health System float64\n", + "Population Density float64\n", + "Socio-Economic float64\n", + " Transport Availability float64\n", + "Acute IHR float64\n", + "Initial Budget in Billion float64\n", + "Revised Budget in Billion float64\n", + "Number of Lab Confirmed Cases float64\n", + "Number of Cases on Admission float64\n", + "Number of Cases Discharged float64\n", + "Number of Deaths float64\n", + "Year float64\n", + "First Quarter float64\n", + "Second Quarter float64\n", + "Third Quarter float64\n", + "Fourth Quarter float64\n", + "dtype: object" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checking data tyoes in columns of merged dataframe\n", + "combined_df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "37941bb4", + "metadata": {}, + "outputs": [], + "source": [ + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "a3831d28", + "metadata": {}, + "outputs": [], + "source": [ + "# Saved global data from John Hopkin's repository" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "dd04542b", + "metadata": {}, + "outputs": [], + "source": [ + "# Saved global data from John Hopkin's repository\n", + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "928f0f66", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
0NaNAfghanistan33.93911067.709953000000...188820189045189343189477189710190010190254190435190643191040
1NaNAlbania41.15330020.168300000000...321345321804322125322837323282323829325241325736326077326181
2NaNAlgeria28.0339001.659600000000...269008269141269269269381269473269556269650269731269805269894
3NaNAndorra42.5063001.521800000000...45899458994589945899459754597545975459754597545975
4NaNAngola-11.20270017.873900000000...102636102636102636102636102636102636102636102636102636102636
..................................................................
200Cook IslandsNew Zealand-21.236700-159.777700000000...6209620962406265626562656265626562656265
201NaNNew Zealand-40.900600174.886000000000...1687705169126116962391700900170559717095411712957171516517180091721836
202NaNNicaragua12.865416-85.207229000000...14872148721487214872148991489914899148991489914899
203NaNNiger17.6077898.081666000000...9132913291399139915791579183918391839203
204NaNNigeria9.0820008.675300000000...262520262520262520262664262664262748262748262912262912262912
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" + ], + "text/plain": [ + " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", + "0 NaN Afghanistan 33.939110 67.709953 0 0 \n", + "1 NaN Albania 41.153300 20.168300 0 0 \n", + "2 NaN Algeria 28.033900 1.659600 0 0 \n", + "3 NaN Andorra 42.506300 1.521800 0 0 \n", + "4 NaN Angola -11.202700 17.873900 0 0 \n", + ".. ... ... ... ... ... ... \n", + "200 Cook Islands New Zealand -21.236700 -159.777700 0 0 \n", + "201 NaN New Zealand -40.900600 174.886000 0 0 \n", + "202 NaN Nicaragua 12.865416 -85.207229 0 0 \n", + "203 NaN Niger 17.607789 8.081666 0 0 \n", + "204 NaN Nigeria 9.082000 8.675300 0 0 \n", + "\n", + " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", + "0 0 0 0 0 ... 188820 189045 189343 \n", + "1 0 0 0 0 ... 321345 321804 322125 \n", + "2 0 0 0 0 ... 269008 269141 269269 \n", + "3 0 0 0 0 ... 45899 45899 45899 \n", + "4 0 0 0 0 ... 102636 102636 102636 \n", + ".. ... ... ... ... ... ... ... ... \n", + "200 0 0 0 0 ... 6209 6209 6240 \n", + "201 0 0 0 0 ... 1687705 1691261 1696239 \n", + "202 0 0 0 0 ... 14872 14872 14872 \n", + "203 0 0 0 0 ... 9132 9132 9139 \n", + "204 0 0 0 0 ... 262520 262520 262520 \n", + "\n", + " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", + "0 189477 189710 190010 190254 190435 190643 191040 \n", + "1 322837 323282 323829 325241 325736 326077 326181 \n", + "2 269381 269473 269556 269650 269731 269805 269894 \n", + "3 45899 45975 45975 45975 45975 45975 45975 \n", + "4 102636 102636 102636 102636 102636 102636 102636 \n", + ".. ... ... ... ... ... ... ... \n", + "200 6265 6265 6265 6265 6265 6265 6265 \n", + "201 1700900 1705597 1709541 1712957 1715165 1718009 1721836 \n", + "202 14872 14899 14899 14899 14899 14899 14899 \n", + "203 9139 9157 9157 9183 9183 9183 9203 \n", + "204 262664 262664 262748 262748 262912 262912 262912 \n", + "\n", + "[205 rows x 948 columns]" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#viewing basic information from John Hopkin's global data\n", + "JH_confirmed_global.head(n=205)" + ] + }, + { + "cell_type": "markdown", + "id": "5bdf5c67", + "metadata": {}, + "source": [ + "# Get a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "8ea0ac17", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", + "# The data frames will be restructured to make data accessible and extractable. We restructure dataframe using pd.melt() and drop() method\n", + "JH_Daily_confirmed = pd.melt(JH_confirmed_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Confirmed Cases')" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "b7c7345b", + "metadata": {}, + "outputs": [], + "source": [ + "# Still converting data tpe: Date column values is to be converted into standard Datetime format\n", + "JH_Daily_confirmed['Date'] = pd.to_datetime(JH_Daily_confirmed['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "0f5ba3ca", + "metadata": {}, + "outputs": [], + "source": [ + "#delete other columns aside date and country/region using the drop()method\n", + "JH_Daily_Confirmeddf= JH_Daily_confirmed.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "c1f8e51e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Country/RegionDateConfirmed Cases
0Afghanistan2020-01-220
1Albania2020-01-220
2Algeria2020-01-220
3Andorra2020-01-220
4Angola2020-01-220
............
269035West Bank and Gaza2022-08-22698384
269036Winter Olympics 20222022-08-22535
269037Yemen2022-08-2211915
269038Zambia2022-08-22332527
269039Zimbabwe2022-08-22256628
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269040 rows × 3 columns

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" + ], + "text/plain": [ + " Country/Region Date Confirmed Cases\n", + "0 Afghanistan 2020-01-22 0\n", + "1 Albania 2020-01-22 0\n", + "2 Algeria 2020-01-22 0\n", + "3 Andorra 2020-01-22 0\n", + "4 Angola 2020-01-22 0\n", + "... ... ... ...\n", + "269035 West Bank and Gaza 2022-08-22 698384\n", + "269036 Winter Olympics 2022 2022-08-22 535\n", + "269037 Yemen 2022-08-22 11915\n", + "269038 Zambia 2022-08-22 332527\n", + "269039 Zimbabwe 2022-08-22 256628\n", + "\n", + "[269040 rows x 3 columns]" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking if the formatting of dataframe for global confirmed Cases is as expected\n", + "JH_Daily_Confirmeddf" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "3906e952", + "metadata": {}, + "outputs": [], + "source": [ + "#Applying formatting tools used for global confirmed cases to Dataframe of global recoveries and Deaths\n", + "\n", + "JH_Daily_Recovery = pd.melt(JH_recovered_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Recovered Cases')\n", + "JH_Daily_Recovery['Date'] = pd.to_datetime(JH_Daily_Recovery['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "f2abb71a", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Recoverydf= JH_Daily_Recovery.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "e230f423", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Deaths = pd.melt(JH_deaths_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Death Cases')\n", + "JH_Daily_Deaths['Date'] = pd.to_datetime(JH_Daily_Deaths['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "057b66ac", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Deathsdf= JH_Daily_Deaths.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "b0836c34", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "e88a3fda", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_confirmed[JH_Daily_confirmed['Country/Region'] == 'Nigeria']" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "2addb352", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Confirmed_Nigeriadf= Nigeria[['Date', 'Confirmed Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "d8573def", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Date Confirmed Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 262748\n", + "940 2022-08-19 262748\n", + "941 2022-08-20 262912\n", + "942 2022-08-21 262912\n", + "943 2022-08-22 262912\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Confirmed_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "d7bdc7dc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Confirmed Cases 135384240\n", + "dtype: int64" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "25a3156b", + "metadata": {}, + "outputs": [], + "source": [ + "# Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "864d686b", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_Recovery[JH_Daily_Recovery['Country/Region'] == 'Nigeria']\n", + "JH_Daily_Recovery_Nigeriadf= Nigeria[['Date', 'Recovered Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "fc332724", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Date Recovered Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 0\n", + "940 2022-08-19 0\n", + "941 2022-08-20 0\n", + "942 2022-08-21 0\n", + "943 2022-08-22 0\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Recovery_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "e1dd3a3d", + "metadata": {}, + "outputs": [], + "source": [ + "#Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "f77a30c0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recovered Cases 39492087\n", + "dtype: int64" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Getting total recovered cases in Nigeria upto Aug. 2022\n", + "JH_Daily_Recovery_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "d1ad4519", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_Deaths[JH_Daily_Deaths['Country/Region'] == 'Nigeria']\n", + "JH_Daily_DeathsNigeriadf= Nigeria[['Date', 'Death Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "b411a9c2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Death Cases 1774393\n", + "dtype: int64" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Getting total Deaths status in Nigeria upto Aug. 2022\n", + "JH_Daily_DeathsNigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "b8aaf40a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath Cases
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12020-01-230
22020-01-240
32020-01-250
42020-01-260
.........
9392022-08-183147
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944 rows × 2 columns

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" + ], + "text/plain": [ + " Date Death Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 3147\n", + "940 2022-08-19 3147\n", + "941 2022-08-20 3147\n", + "942 2022-08-21 3147\n", + "943 2022-08-22 3147\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_DeathsNigeriadf" + ] + }, + { + "cell_type": "markdown", + "id": "db49e0ab", + "metadata": {}, + "source": [ + "# Analyses\n", + "Performance of some analyses on the datasets." + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "42fdc252", + "metadata": {}, + "outputs": [], + "source": [ + "# To Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory \n", + "#First renaming columns from original dataframe fro link (data cleaning)\n", + "covidnig\n", + "covidnig.rename(columns = {'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "9a1b289e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
10Ondo179362169041
11Katsina1405214116724
12Enugu137634132121
13Kwara1296171109431
14Gombe116418395031
15Ebonyi109124103730
16Abia9802594510
17Osun9792093722
18Bauchi89710877514
19Borno7783770536
20Imo7346166112
21Nasarawa60026232513
22Benue5154446011
23Bayelsa4975542121
24Ekiti405243756
25Akwa Ibom395443429
26Jigawa3865731811
27Niger3816930012
28Adamawa3559623821
29Anambra299627419
30Sokoto2284017117
31Taraba203191777
32Yobe164331238
33Kebbi14351308
34Cross River9318111
35Zamfara791735
36Kogi5032
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" + ], + "text/plain": [ + " States Affected Number of Lab Confirmed Cases \\\n", + "0 Lagos 26708 \n", + "1 FCT 9627 \n", + "2 Kaduna 4504 \n", + "3 Plateau 4262 \n", + "4 Oyo 3788 \n", + "5 Rivers 3279 \n", + "6 Edo 2768 \n", + "7 Ogun 2382 \n", + "8 Kano 2032 \n", + "9 Delta 1843 \n", + "10 Ondo 1793 \n", + "11 Katsina 1405 \n", + "12 Enugu 1376 \n", + "13 Kwara 1296 \n", + "14 Gombe 1164 \n", + "15 Ebonyi 1091 \n", + "16 Abia 980 \n", + "17 Osun 979 \n", + "18 Bauchi 897 \n", + "19 Borno 778 \n", + "20 Imo 734 \n", + "21 Nasarawa 600 \n", + "22 Benue 515 \n", + "23 Bayelsa 497 \n", + "24 Ekiti 405 \n", + "25 Akwa Ibom 395 \n", + "26 Jigawa 386 \n", + "27 Niger 381 \n", + "28 Adamawa 355 \n", + "29 Anambra 299 \n", + "30 Sokoto 228 \n", + "31 Taraba 203 \n", + "32 Yobe 164 \n", + "33 Kebbi 143 \n", + "34 Cross River 93 \n", + "35 Zamfara 79 \n", + "36 Kogi 5 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", + "0 2435 24037 236 \n", + "1 2840 6694 93 \n", + "2 579 3877 48 \n", + "3 280 3948 34 \n", + "4 368 3374 46 \n", + "5 232 2987 60 \n", + "6 52 2603 113 \n", + "7 174 2175 33 \n", + "8 198 1778 56 \n", + "9 57 1737 49 \n", + "10 62 1690 41 \n", + "11 214 1167 24 \n", + "12 34 1321 21 \n", + "13 171 1094 31 \n", + "14 183 950 31 \n", + "15 24 1037 30 \n", + "16 25 945 10 \n", + "17 20 937 22 \n", + "18 108 775 14 \n", + "19 37 705 36 \n", + "20 61 661 12 \n", + "21 262 325 13 \n", + "22 44 460 11 \n", + "23 55 421 21 \n", + "24 24 375 6 \n", + "25 44 342 9 \n", + "26 57 318 11 \n", + "27 69 300 12 \n", + "28 96 238 21 \n", + "29 6 274 19 \n", + "30 40 171 17 \n", + "31 19 177 7 \n", + "32 33 123 8 \n", + "33 5 130 8 \n", + "34 1 81 11 \n", + "35 1 73 5 \n", + "36 0 3 2 " + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "7dbfc744", + "metadata": {}, + "outputs": [], + "source": [ + "#Sorting top 10 states with highest lab confirmed cases by using df.sort_values()\n", + "\n", + "covidnig_lab10confirmed = covidnig.sort_values('Number of Lab Confirmed Cases', ascending = False)\n", + "covidnig_lab10confirmed = covidnig_lab10confirmed.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "83f35642", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
\n", + "
" + ], + "text/plain": [ + " States Affected Number of Lab Confirmed Cases \\\n", + "0 Lagos 26708 \n", + "1 FCT 9627 \n", + "2 Kaduna 4504 \n", + "3 Plateau 4262 \n", + "4 Oyo 3788 \n", + "5 Rivers 3279 \n", + "6 Edo 2768 \n", + "7 Ogun 2382 \n", + "8 Kano 2032 \n", + "9 Delta 1843 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", + "0 2435 24037 236 \n", + "1 2840 6694 93 \n", + "2 579 3877 48 \n", + "3 280 3948 34 \n", + "4 368 3374 46 \n", + "5 232 2987 60 \n", + "6 52 2603 113 \n", + "7 174 2175 33 \n", + "8 198 1778 56 \n", + "9 57 1737 49 " + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking top 10 states\n", + "covidnig_lab10confirmed" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "2d8a31e5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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PHz8mODiYGzduEBERofL6tm3bcuzYMdzc3PD19aVWrVp899132NnZqfT/pH15Onr0KKdOnVI5ftoHW1q/poODA8uXL2f79u0cOXIEOzs7ateuTd26dd/bCvE+b/ebpb1vbyZmdVlbW9OjRw9WrVrFrFmzmDt3rlqvu3HjBgCVKlVKt65y5coqX4hevnzJgwcPKFCgACtXrky3fVhYGJB6fbz596jOiHZ9fX1l/MDDhw8JCgri8ePH3L9/nwsXLgCpXQFve7sMtbS00NfX/6BRqM2aNaNZs2bExMRw8eJFzp8/z19//UVISAgrVqwgMTGRwYMHZ/p6TU1NGjZsCMDff//NvXv3lNjTvry9L+mmXZNPnjzB29s73fo8efLw+PFjXr58iaGhIc2aNeOPP/6gbdu2VKpUiVq1amFvb58tI6AlYeYiac2ZGSUJQPlQi4+PV1n+5qCSNGnNL2nNqJ9C2j2iMTEx6Y75vtjTREVFvXcwR1rMac28b0tLgG+WQ/Pmzdm9ezcHDx7ExcWFI0eOkJCQ8N4mxpiYmAz7ZEG9e2Kjo6PfGeubXrx4gbu7O3/88YeSSL755huqVavG/fv3VT4Ya9WqxbJly1i7di1nz55l69atbN26FUNDQ3r06KE0PaeVlZ+f33tjNDU1ZdWqVaxcuZKjR49y8OBBlVr4uHHj0tWI1PV2q0Naje2/9ENC6v2yR44c4fjx4xw8eFBlMFhm0mptbzY9ptHS0lJpMUgrt4iICJW+47e9ePFC5fc3v6y8y+XLl1mwYIGSPHR1dbGysqJChQqZjiR/s8UlzZs13w9haGhIvXr1qFevHiNGjGDnzp3MnDmTTZs20a9fv3d+sb137x7z5s1T+iq1tLSwtLSkYsWKBAUFvfc9TSuzM2fOcObMmXdulzdvXn788UfKli3L7t27uXLlCleuXMHLy4vSpUszYcIEKleu/B9K4L+RhJmLpH1YZdYMlTZowdjYWGV5Rs2gaR8IJiYmnyy+tA+tJ0+eUKpUKZV1ISEhKttkJm/evJkOLomLiyNPnjxKOYSHh2e4XVoCeLMcqlevTuHChZWEefDgQfT19d/b/2FkZJTpl4r3NT3Bv+/Z+84J4KeffsLf35+WLVvi6OhImTJllC8YzZs3T1eTqFq1KlWrViU+Pp7Lly9z8uRJdu/ezbJlyyhSpAhNmzYlT548aGpqcuzYMbU+zIsUKcKkSZOYMGECt2/f5tSpU+zZs4c//vgDfX19lRvbs5Ouri6TJk1S7u+dPn36e1+T9l5k9n6++R6lbVu5cmWWL1/+CSL+V2hoKEOHDkVHR4exY8dStWpVSpQogba2NqdOneLPP//8pMd78OABw4cPp0aNGkyePDndeg0NDVq3bs2hQ4c4ffo0oaGh6f5+08TGxjJ48GBevHjBwIED+e677yhZsiS6uroEBweze/fu98aTVrYTJkxQqw9aW1ubrl270rVrV8LCwjh37hyHDh3C39+fESNGsGvXrve2XH0q0oeZi6Q1QVy5ciXD9ZcuXQJId7HfvHkz3bZpfS9v9yF8jLRbOS5evJhuXdqy930btLKy4unTpzx9+jTdOmdnZ5o1a4a+vj5Fixbl0aNHPHv2LNNjvVkOmpqaNG3aVOl3On/+PPXr139vjalcuXKEh4crCT9NYmKiWtP9GRoaYmZmxt27d5Vm6TTJycm0atWKnj178uLFC/z9/bG2tubHH3+katWqSrKMjIzk+fPnKt/c161bx7Jly4DUJr5atWoxcuRIpk6dCvzbt2ltbU1ycjJ37txJF9udO3dYtGiR8i3/yJEj/Prrr8TExKCpqUmFChXo16+fMlHAm/2lOYGtrS3t2rUjIiKCxYsXv3f7tG6KtKbZN6XdmpPG0NCQb775hqCgoHQtNpDat+3l5ZXhaNb3OXr0KPHx8Tg7O9OhQwesrKyU/t0HDx4A/73mnRFTU1OePn2qDHLLTEpKCpqamkoLTUa113PnzvHs2TPatWtH7969sba2VloPgoKC0m2f0T7SPsfeHmsBqX8TixcvZt26daSkpPD48WM8PDyUqfvMzMxwdHRkwYIFNGjQgOjoaLVHq38KkjBzEXNzc2Vgz6ZNm1TW7d+/n5MnT1K6dOl0bfs7duxQud0kJCQEPz8/jIyM3ju67kNUrVqVb775hh07dqgMRLh+/brSJ5Y2ojMzaU2kHh4eKv1b/v7+BAQEUKNGDbS1tXF0dOT169csWLBAZbt79+7h5+eHnp4e33//vcq+0+5Xmz17NklJSWqN+EwbFp92m0uaDRs2ZJjUMzun2NjYdP0127ZtIyoqim+//RYdHR20tLR48eKFSmJNSEhg1qxZJCcnq5znmTNnWLVqVbqRnaGhoQDKPZNp97y5u7ur1Kzi4+OZNWsWa9euVQZrPXz4kG3btrFt2zaVfT59+pSkpKT33oeZHQYPHkzhwoXVuj2lcuXKWFpacuDAAZVyi4+PZ9GiRem2d3R0JCYmhkWLFqn0yz1+/JhZs2axZs2a93YxZCStLzoiIkJleXBwsHKv8H/p282MoaEhjo6OREZGMnHixHS3z0BqEj937pwyZR6gJPE3r/vMYg8PD1dm8Xoz9rR9vHlNV6lShWLFirFr1y7lS36ajRs34ufnx6VLl9DQ0EBPTw8/Pz+8vLxU9pGUlKTcp5xRl1NWkSbZXGbChAk4Ozszb948jh07hrW1NUFBQZw6dQoTExPlZuO39evXDwcHB7S0tDh8+DCxsbFMmzYtXfPtx9DS0mL8+PGMHDmS3r1706xZM16/fq2MEh05cuR799GqVSsOHz7Mvn37uHv3LjVq1CAiIoJDhw5RsGBBhg8fDkCPHj04c+YMBw4c4O7du9SsWZOoqCiOHj1KQkICP/74Y7o/JCsrK6ytrQkICFAmDnifxo0bc/jwYQ4dOkSPHj2ws7MjODiY06dPU7Ro0XQ1z4z07t0bf39/1qxZw6VLl7CxseHRo0f89ddfWFpa0rdvX2Vg0p9//knv3r2pVasWr1694sSJE4SFhWFsbExUVBSxsbEYGBjQv39/Ll26xMCBA/n+++8pXLgwDx8+5Pjx4xQpUkQZRV2tWjW6du3K+vXr6dSpE3Xr1kVPT4/jx4/z5MkTmjZtqnxpatu2LTt27MDDw4MLFy5QpkwZIiMjOXToELq6uvTr1++95/q5GRgYMG7cOEaNGvXebTU0NJg0aRKDBg3C1dWVhg0bkj9/fk6dOqX0q715i0jPnj05c+YMW7Zs4erVq1SrVo24uDj+/PNPYmNjGTduXIb9oe9Tt25djIyMWLNmDcHBwRQvXpyQkBD++usvpa87o6T2MUaOHMnDhw85ceIEbdq0oVatWhQrVoxXr15x/fp1rl+/jqWlJePHj1dekz9/fvT09Lh8+TLz58+nZs2a1KhRg6JFi3LgwAGio6MpW7Ys//zzD8ePH0dDQwMdHR2V2NMG7x05coR8+fJRv359qlSpwtSpUxk6dCgDBw7E3t6eYsWKcffuXU6fPo2pqanycIdChQrRuXNnNmzYQOfOnalTpw5aWlqcPXuWu3fv0qlTp48ekPYhpIaZyxQrVow1a9bQrl07Hj58yObNmwkKCqJ9+/asXbuW0qVLp3tNz5496dixIydPnuTgwYOULVuWJUuWZMlkyLVr12bx4sVYWVmxc+dOjh49ip2dHd7e3pn2i7xJS0uL+fPnM3DgQBITE9m6dSunT5/GwcEBX19fpblIV1eXxYsX4+rqSkpKCtu2bePMmTPUqlULHx+fTGc/SatVNm7cWOU2h3f5+eefGTJkCImJiWzbto2///6bX375JdPRym/LmzcvXl5e9OzZk2fPnrFp0yauX79OmzZt8PT0VPpfJk2aRNeuXYmNjWXz5s2cOHGC0qVL4+npSceOHQE4ffo0kNqU7uXlRa1atbhw4QLr16/n1q1btG3bluXLl6t8ERo+fDjTpk3jm2++Yf/+/ezatQsjIyPGjh3LlClTlGYzIyMjPD096dChA48fP2bTpk0cP36cmjVrsnz58myfxDwz9vb277w16E02NjZ4eXlRrVo1/P392blzJyVLllRqR2+ORNbT08PDw4P+/fuTkJDAtm3bOH78OBUqVGDRokW0b9/+P8VbqFAhlixZgp2dHRcvXmTLli3cv3+ftm3bsnHjRooUKcKFCxc+aS1TX1+fpUuXMnXqVKpWrcq1a9fYsGEDu3btIikpicGDB7NmzRqVMQ3a2tqMHz+e/Pnzs3XrVo4fP06ePHlYvHgx33//vdLSdePGDb7//nvWrl2LjY0NgYGBSleJmZkZgwYNQltbm99++41z584Bqe/DqlWraNy4MVevXmXTpk08evSIdu3asXLlSpWWqKFDhzJ+/HgMDQ3Zu3cv27ZtQ1tbmwkTJrzzqUlZQSMyMvLTNZaLHCWzqcGE+Bq9evWKZ8+eYWZmlm7y9pCQENq2bUv79u0ZN25cNkUocjqpYQohvgovX76kTZs2uLi4pLtXcM2aNYD6s1qJr5P0YQohvgr58+fHwcGBQ4cO0b17d6UP+/Lly8ozXt+cHF2It0nCFEJ8NaZNm0aVKlXYs2cPO3bsICUlhWLFijFs2DA6der0nycCEF8H6cMUQggh1CB9mEIIIYQaJGEKIYQQapCEKYQQQqhBBv18pHPn1H+0zpfqzQnEv3ZSFv+SsviXlMW/srIszM01sbDQev+G/5EM+vlItrbvf2KFEEKIrOfjY0jNmukfg/apSJOsEEIIoQZJmEIIIYQacmTCtLOz4+zZs9kdhhBCCKHIkQlTCCGEyGkkYQohhBBqyJW3lezatQs/Pz8eP36MgYEBDg4OjB49Wnm+4fr161m3bh0vX76kRYsW3Lt3jxYtWuDo6EhycjLr1q1j27ZthIeHU6FCBUaNGoW1tTUAhw4dwtvbm5CQEMzMzOjduzctW7bMztMVQgiRA+S6Gubly5eZPXs2AwYMYOvWrYwfP57du3dz5MgRAPbt24e3tzfDhw/H19eX0NBQLl68qLze19eXdevWMWLECNasWUORIkUYNmwYsbGxRERE8OOPP9KlSxc2b95M7969+eWXX3jw4EE2na0QQoicItclTD09PSZNmkTDhg355ptvcHBwwNramqCgIAA2b95Mx44dady4MVZWVkyZMgU9PT0AUlJS+O2333BycqJevXpYWloyadIktLW12bt3L//88w+JiYkUKlSIb775hpYtW7J48WIKFCiQnacshBAiB8h1TbLly5dHT08Pb29v7t+/z927d3n06BE1a9YE4O7du3Tv3l3Z3sjIiBIlSgAQERFBdHQ0lSpVUtZra2tTvnx5Hjx4QIcOHWjatCkjRoygWLFi1K1bF0dHR4yMjD7vSQohhMhxcl0N89SpU/Ts2ZPw8HBq1arFr7/+io2NjbJeSyv9tEgpKamTGaXVNN+WnJxMUlISGhoaTJ8+nTVr1tCsWTMuXbpEnz59OH36dNacjBBCiFwj1yXMHTt20KJFCyZOnEibNm0oWbIkISEhSlIsVaoUt27dUraPiYnh8ePHABgaGmJqasr169eV9YmJidy+fZsSJUrw4MEDFixYQLly5XBxccHPzw9bW1uOHj36Wc9RCCFEzpNjm2Rv3bpFUlKSyrLKlStjbGzMtWvXCAwMRFNTk9WrVxMeHk5CQuok6B07dmTmzJmUK1cOS0tLvL29efnypbKPbt264evrS+HChSlevDhr1qwhPj6eJk2akJKSwu+//46BgQEtWrQgNDSUu3fv0rhx48967kIIIXKeHJswlyxZkm7ZqlWrcHZ2xs3NjX79+mFgYMB3333H//73P+7cuQNAkyZNePToEbNmzeL169e0atWKIkWKoKOTOiFvly5diI2NZebMmcTExFC5cmW8vLwoWLAgALNmzWLJkiX4+flhZGRE+/btad269ec7cSGEEDnSF/e0kosXL1K0aFHMzMyA1CbXJk2aMGfOHKpXr/7JjydPKxFCiJwhq59WkmNrmP/V0aNHuXbtGuPHjydv3rxs3LgRAwMDlZGxQgghxIfKdYN+3qd///4UL16cwYMH061bN4KDg1m4cGGmI2SFEEIIdXxxNUwDAwPc3NyyOwwhhBBfmC8uYX5uPj6G2R1CtouLiyNPnjzZHUaOIGXxLymLf0lZ/Csry8LcPGsbTb+4QT/i8wsMDKRMmTLZHUaOIGXxLymLf0lZ/Cs3l8UX14cphBBCZAVJmEIIIYQaJGEKIYQQapBBPx/p3LmE7A4h28XFmREZ+fWVg7m5JhYW6Sf7F0J8mSRhfiRn55jsDiGH+PrKwcfHUBKmEF8RaZIVQggh1CAJUwghhFBDrm+Sbd26NaGhoemWlypVio0bNwKpD5328/Pj9u3baGlpUalSJVxdXSlbtiwAdnZ27zzG2bNnP33gQgghcpVcnzABhg0bRtOmTVWWaWunntqmTZvw8PDAxcWFMWPGkJSUxIYNG+jfvz9eXl6ULVuWvXv3Kq+bO3cumpqajBw58rOegxBCiJzti0iYBgYGmJqaplseEhLCokWLmDRpEj/88IOy/Mcff+TJkycsXbqUhQsXqrxWV1cXLS2tDPcnhBDi6/VFJMzM7N+/H2NjY5o1a5Zu3YQJE0hJkVkBhRBCqOeLTpiBgYGUK1cOTc30Y5uKFy+eDREJIYTIrb6IhDl37lwWLFigsuz3338nJiaG/PnzZ1NUQgghviRfRMJ0cnLCwcFBZZmxsTHGxsa8ePEim6ISQgjxJfki7sM0MTHBwsJC5UdLS4sKFSpw69atDPsqT5w4waRJk0hMTMyGiIUQQuQ2X0TCzIyDgwOxsbEqt40AJCcns27dOqKiopTbT4QQQoh3+aKzhZmZGf3792fmzJlERkZib29PTEyMMomBr69vdocohBAil/iiEyZA9+7dKVSoEJs2bcLX1xcdHR1sbGzw9fXFysoqu8MTQgiRS+T6hLljx473btO0adN0MwFlZtq0aR8bkhBCiC/QF92HKYQQQnwqkjCFEEIINeT6Jtns5uNjmN0hZLu4uDjy5MmT3WF8dubm8n1TiK+JJMyPVLOmTnaHkO0CAx9QpkyZ7A5DCCGylHxFFkIIIdQgCVMIIYRQgyRMIYQQQg3Sh/mRzp1LyO4QPgtzc00sLLSyOwwhhMg2kjA/krNzTHaH8Fn4+BhKwhRCfNWkSVYIIYRQgyRMIYQQQg2fNWHa2dlx9uxZlWWXLl3C3t6euXPn/qd9Llu2DFdX108RnhBCCJGpbK1hBgYGMmrUKBo3bsyoUaOyMxQhhBDinbItYYaEhDBs2DDs7OyYNGkSGhoa2RWKEEII8V7ZMko2IiKCoUOHUrp0aaZPn46W1r+jL8PDw5k7dy7nzp0jPj4eS0tLRo4cSbVq1QC4f/8+M2fO5Pbt21SpUoVixYopr929ezeenp7s3r1bWebq6kqVKlUYMGAAbm5uGBoa8vz5c44fP06hQoXo06cPjo6Oah1bCCHE1+uz1zBjY2MZNmwYYWFhTJ8+HR0d1blYp0yZQmJiIr6+vvj5+WFmZsasWbMAeP36NSNGjKBIkSL4+fnRoEEDtZ6H+aatW7dibW2Nn58ftWrVYtasWURFRb332EIIIb5unz1hzp49GwAdHR1Wr16dbr29vT1jxozB0tKSUqVK0aFDB4KCgkhJSeHs2bNERkYybtw4SpYsSYcOHahfv/4HHb906dL07NmTEiVKMGDAAF69esW9e/fee2whhBBft8/eJGtkZMTixYv5888/mTt3Lg0bNqRy5crK+vbt23PgwAGuXr1KcHAwt2/fBiApKYmgoCCKFi1K3rx5le3Lly/PqVOn1D5+0aJFlf8bGqY+misxMfG9x9bWljkehBDia/bZs8Dw4cMxMTGhffv27N+/n2nTprF27Vr09PRITk5m8ODBREdH07hxY+zt7UlISGDcuHGZ7u99iSwpKUnl97ebgNP8l2MLIYT4enz2Jtm0AT4aGhpMnDiR0NBQvLy8AAgKCuLSpUssXryYvn37UrduXZ49e6a81srKikePHhEdHa0su3PnjvJ/HR0dYmNjlSbUlJQUnjx5olZc7zu2EEKIr1um1TNHR8cPutVj165dH3xwS0tLevfuja+vLw0aNMDMzAxNTU0OHjxIgwYNuHnzJt7e3kDqgB87Ozu++eYbpk+fzoABA7h+/TqHDx+mUqVKAFSoUIHY2FjWrFlDo0aN2LJli0pyfRdDQ8N3HluaZIUQ4uuWaQ2zZs2ayk+NGjV4/vw58fHxVK9enWbNmlGrVi1SUlKIjo7GwcHhPwfQu3dvSpYsyfTp0zE2NmbcuHGsW7eOTp06sWrVKkaNGoW2tjZ37txBW1ubBQsWEBsbS69evdi+fTvt27dX9mVhYcGwYcPYsGED3bt3JyEhgcaNG6sVh5mZ2TuPLYQQ4uumERkZ+d4hoN7e3pw6dQoPDw8MDAyU5a9evWL48OGULFnyq+3rs7V9nt0hfBY+PobUrJlx/29gYCBlypT5zBHlTFIW/5Ky+JeUxb9yc1mo1Ye5detWevbsqZIsAfT09OjcuTMHDx7MkuCEEEKInEKthJmUlER8fHyG654/f46mpjz0RAghxJdNrUxXs2ZNPD09CQgIUFl+9epVvLy8sLe3z5LghBBCiJxCraGfI0eOxMXFhZ49e2Jubk7+/Pl59uwZT58+xdramuHDh2dxmDmXj49hdofwWZibSyuCEOLrplbCLFSoEBs3bmTPnj1cvHiRqKgoLCwssLOzo1mzZl/1LReZDYQRQgjxZVE70+np6dGuXTvatWuXlfEIIYQQOZLaCfPly5ds3ryZM2fOEB4ezsyZMzl58iQVK1aUx18JIYT44qmVMMPDw+nfvz9hYWGULVuWhw8fkpCQwKVLl/D09GTRokVUr149q2PNkc6dS8juELKMubkmFhZa799QCCG+AmolzIULF5KUlMTmzZspVKgQderUAVIf1TV06FB8fX2/2oTp7ByT3SFkGR8fQ0mYQgjx/9Qa+njq1ClcXFz45ptvVOaX1dbWplOnTgQGBmZZgEIIIUROoFbCTEhISDfLTxoNDQ3leZJCCCHEl0qtJtkKFSrw22+/UbduXWVZWk1z7969lC9fXu0Dtm7dmtDQUOV3LS0tzMzMaNu2Lb169cLV1ZUqVaowYMCA9+4rIiKCCxcuqD3BuhBCCPFfqZUwBwwYwIABA+jatSt16tRBQ0ODvXv3smTJEs6fP4+Hh8cHHXTYsGE0bdoUSJ1279y5c/zyyy8UKlTog/bj4eFBYmKiJEwhhBBZTq0mWRsbG5YuXYqRkREbNmwgJSWFTZs2ER0djbu7+wffVmJgYICpqSmmpqaYmZnh6OhIzZo1OXz48AftJ+1B0UIIIURWU/s+zCpVquDj48OrV6+Ijo7G0NCQPHnyAJCYmPjRs/1oaWmhq6ursiwxMZGlS5dy4MABnj17RqFChejZsycdOnTA29ubPXv2AHDlyhV27NhBTEwMc+fO5dixY+jp6VGvXj2GDRum9L/+9ddfeHt7ExQUhI6ODrVr12bixIkYGhri7e3NuXPn8PHxUY7funVr+vTpQ5s2bT7q3IQQQuR+atUw27RpozxEWU9Pj0KFCinJ8sqVKzRv3vw/B5CYmMiRI0c4c+YM9erVU1m3evVqjh8/zsyZM9myZQuOjo7MmzePf/75h+7du9OoUSO+//57Vq1aBcD06dOJiorC29ubBQsWEBwczLRp0wAICQlh/PjxtGvXjt9++42ZM2dy/vx5tm3b9p9jF0II8fXItFq4evVq5ZFeoaGhbNq0CTMzs3TbXb9+neTk5A866Ny5c1mwYAGQ+hBqfX19unTpQrNmzdi+fbuynZWVFZMmTaJy5coA9O7dG19fX4KDg6lRowZ6enokJSWRP39+Hj9+zNGjRzlw4ADGxsYATJ06ldatWxMWFkZSUhIjR46kbdu2ABQpUgQ7Ozvu37//QbELIYT4OmWaMJOTk1mxYgWQOiI2rfnzTZqamhgaGuLq6vpBB3VycsLBwQEAXV1dTE1N0dJKf4N8gwYNOHPmDO7u7gQHB3P79m0ltrcFBQWRkpJCq1at0q0LDg7Gzs4OXV1dVqxYwf3795WfJk2afFDsQgghvk6ZJsw+ffrQp08fAL799lu8vb2pUqXKJzmoiYkJFhYW791u2bJl/P7777Rs2ZLmzZszduxYWrduneG2SUlJ5MmTh7Vr16ZbZ2pqSkBAAM7Oztjb22Nra0vXrl3ZsGGDss2bEzK8uU8hhBAC1Bz0s337dgoVKsSjR4+URBcZGUlQUBBVq1bNsuC2bdvG6NGjlVtQ0ppP00bHvpnkSpQoQVxcHMnJyZQoUQKAR48e4e7uzoQJE/jjjz+wsbHh559/Vl7z5vno6OgQGxurrIuLiyMiIiLLzk0IIUTuotagnzx58uDq6sqwYcOUZTdu3MDV1ZUhQ4YQE5M186kaGxtz4sQJQkJCuHLlClOnTgXg9evXSlyhoaE8ffoUS0tLateuzZQpU7h+/ToBAQFMnTqViIgITE1NMTY25v79+1y/fp2HDx/i7u7OzZs3SUhInTy9QoUK3L17lz/++IOHDx8yc+bMDJuJhRBCfJ3USpiLFy/m77//ZsyYMcqy2rVrs3jxYh48eICnp2eWBPfjjz9y7949OnfuzNSpU3FwcKBSpUoEBAQA0KJFC0JCQujWrRspKSm4ublhYWHBkCFDcHV1pVChQsyZMweATp06YWNjw5AhQ3ByciI0NBQnJydlXzVr1qR79+7MnTuXfv36UaJECWxsbLLkvIQQQuQ+GpGRke+9+7958+YMGzaMZs2apVu3e/duPD092b17d5YEmNPZ2j7P7hCyjI+PITVr6rx3u8DAQMqUKfMZIsr5pCz+JWXxLymLf+XmslCrhhkXF6fcd/k2Y2NjoqKiPmlQQgghRE6jVsIsW7asyv2Rb9q5cyfW1tafMiYhhBAix1FrlGyfPn0YMWIEXbt2pUGDBhQoUIDIyEiOHTvG3bt3mT9/flbHKYQQQmQrtRJmrVq1mD9/Pt7e3qxYsYKUlBQ0NDSwtrZmzpw51K5dO6vjzLF8fAyzO4QsY26uVgOEEEJ8FdSeMb127drUrl07w8nXv2bqDIoRQgiR+31QFeLp06ccOnSIvXv3Ehsby+3bt0lMTMyq2IQQQogcQ+0apoeHB+vXrycpKQkNDQ2+/fZbFi9ezPPnz1myZAn58+fPyjiFEEKIbKVWDXPdunWsW7cOFxcXNm7cqExN17dvX549e4aXl1eWBimEEEJkN7VqmFu3bqVXr1707t1bZULy6tWr4+LiwsqVK7MswJzu3LmE7A7ho5iba2JhIVMACiHE+6iVMJ8+fZrpk0osLCyIjIz8lDHlKs7OWTOP7ufi42MoCVMIIdSgVpOsmZkZly5dynDd9evXMTc3/6RBCSGEEDmNWjXMNm3asGzZMvT19alfvz4AMTExHDhwAD8/P3r37p2VMQohhBDZTq2E2b17d0JDQ/H29sbb2xuAwYMHA6kTs/fs2TPrIvwAERER+Pj48NdffxEVFYWZmRlNmzalR48e6OvrZ3d4QgghcrFME+aFCxeoUKECefLkQUNDg7Fjx9KlSxfOnz9PZGQk+fLlo2rVqlhZWX3OeDP19OlTnJ2dKVKkCG5ubnzzzTfcvXuXZcuW4e/vj6enpyRNIYQQ/1mmCXPMmDHMnTuXatWqMWDAAEaPHo2VlRUWFhafMz61zZkzh8KFC7N48WK0tVNPq0iRIlStWpXOnTuzfPlyBg0alM1RCiGEyK0yHfSTlJTEnTt3SEpK4uLFi7x48YLk5ORMf7JTREQEf/31F7169VKSZZp8+fLRuXNndu7cyeDBg5k1a5bK+kmTJjF37lwAgoKCGDp0KA0bNuSHH37A29s7289NCCFEzpBpDbNWrVq4u7uzcOFCNDQ0cHV1zXQnGhoanDp1KksCVMft27dJTk6mYsWKGa63tbVl8eLFVKlSha1btzJ69Gi0tLSIj4/nxIkTLF68mMjISFxcXKhXrx4rVqzg4cOH/PLLL+TJk4cePXp85jMSQgiR02SaMH/66SeqV69OVFQUvr6+ODo65tjbR6Kjo4HU2mRGjIyMAKhRowZr1qzh0qVL1KhRgxMnTmBiYkLlypX57bff0NPTY8KECWhra2NpaUl4eDheXl6SMIUQQmSeMCdNmsSgQYMoU6YMFy9epEuXLpQuXfpzxqa2tIT47NkzzMzM0q3/559/AChQoAB169blzz//pEaNGvz55580adIEDQ0NgoKCKFu2rEqTro2NDZGRkURGRmJiYvJZzkUIIUTOlGkfZtpoWIBLly7x8uXLzxXTB6tQoQJaWlrcunUrw/U3b97ExMSEokWL0rRpU44ePUpsbCz+/v40adIEAF1d3XSvS+u/fHM6QCGEEF+nTGuYhQoVwsPDg9q1a5OSksL27dsz7afU0NDAxcUly4J8HxMTExwcHPD19aVu3boqtcSYmBjWr19Py5Yt0dbW5rvvviMhIYE1a9ZQpEgRypQpA4ClpSWHDx8mMTFRef21a9cwMjKSJ7EIIYTIPGEOGjSIWbNmsXLlSjQ0NNizZ0+mO8nuhAkwfPhw+vfvz5AhQ5T7Me/fv8+SJUswMzPD2dkZSK1JNmjQgPXr16vMUNS0aVO8vb2ZOXMm3bt359GjR3h7e9O+fXs0NT/osaFCCCG+QJkmzEaNGtGoUSMAvv32W3x8fLCxsflsgX0oU1NTli9fzsqVK3FzcyMiIiLTmX6aNGnCrl27lOZYgLx587Jw4ULmzZtHjx49MDExoVOnTvTp0yc7TkcIIUQOo9bUeMuWLct0Rp/4+Hj27dtHmzZtPmVc/4mJiQkjRoxgxIgR79wuPDycihUrppuEwdraWp7tKYQQIkNqJcxq1aqlW3b//n22bdvGH3/8QWxsbI5ImO8TEhLCzZs3Wb58eY6Z/1YIIUTuoFbCTJOYmMiRI0fYunUrly9fJiUlBRsbGxwdHbMqvk/qyZMnTJ8+ne+++46WLVtmdzhCCCFyEbUSZmhoKL///js7d+7k+fPnaGho0LZtW7p3707RokWzOsZPpmbNmhw/fvyT7tPHx/CT7u9zMzeXAU1CCKGOdyZMf39/tm7dyqlTp9DW1sbe3p5GjRoxYcIEmjdvnquSZVapWVMnu0MQQgjxGWSaMNu0acPff/9NuXLlGDlyJE2bNsXIyIi4uLjPGZ8QQgiRI2TaHhcaGoqVlRWOjo7UrVtXmX5OCCGE+BplmjB9fHyoUKECS5YsoW3btri6urJnzx6pYQohhPgqZdoka2Njg42NDaNGjeLAgQPs2rWLadOmoa+vj4aGBvfv36dy5cpoaGh8znhznHPnErI7BLWYm2tiYaGV3WEIIUSu9d5Rsvr6+rRq1YpWrVoRHBzMjh072LdvHzNnzsTHx4dGjRrRpEmTTJ9F+aVzdo7J7hDU4uNjKAlTCCE+wgfdU1CiRAmGDh3Krl27mD17NuXKlWPz5s3069cvq+ITQgghcoQPmrggjZaWFvXr16d+/fqEh4ezd+/eTx2XEEIIkaP8p4T5JlNT0086zVzr1q0JDQ1VftfQ0CBfvnzY2toyZswYzMzMsLOzw8PDAzs7u092XCGEEOJdPjphZoVhw4bRtGlTIPUhzkFBQfz6669MnTqVZcuWsXfvXoyNjbM5SiGEEF+THJkwDQwMMDU1VX4vXLgw/fv356effiImJkZlnRBCCPE55JqJRHV0Uqeg09TUxM7OjrNnz7J161YcHR1JSUlRtjt48CDNmjUjKSmJ169fM3/+fJo0aaJM6ffs2TMgdSJ2Ozs7li9fjoODA9OnTycmJoaJEyfSqFEjGjZsyNixYwkPD8+W8xVCCJGzqJ0w9+/fj7+/PwD37t2ja9euNGzYkBkzZpCQkLX3Ij58+BBvb29q165N3rx5leUODg48e/aMGzduKMsOHTqEg4MDWlpaLF26lGvXrjF//ny8vLxISUlh5MiRKgn20qVLrF69mp49e+Ll5UVoaCienp4sX76c58+f4+7unqXnJoQQIndQq0l206ZNLFiwgL59+1KnTh1mz55NREQEP/zwA3v37iV//vwMGDDgkwU1d+5cFixYAEBSUhI6OjrUq1cv3YOhTUxMsLOz4/Dhw1SqVIm4uDhOnjzJ4sWLiY+PZ/PmzaxYsYKyZcsCMHXqVBo3bszly5cxMzMDoFOnThQrVgxInQ4wT548FClShLx58zJ16lRevHjxyc5LCCFE7qVWwty2bRsdOnTAxcWF8PBwrly5wujRo+nQoQPFixdnw4YNnzRhOjk54eDgQFxcHD4+Pvz9998MGDAAExOTdNs2btyYFStWMHToUE6cOIGxsTE2Njbcv3+fhIQEXFxcVLZ//fo1Dx8+VBJmkSJFlHU9e/ZkxIgRNG3alOrVq9OgQQN++OGHT3ZeQgghci+1EuaTJ0+oX78+AKdPnwbA3t4egFKlSin9gp+KiYkJFhYWAMyYMYNevXoxZswYVq5ciba2asgNGjRg1qxZBAQEcOjQIRo3boyGhgZJSUkAeHp6Ymio+szK/PnzEx0dDYCurq6y3MbGhh07dnDixAn8/f1ZuHAh+/fvZ9myZZ/0/IQQQuQ+avVh5suXT0kwp0+fpnjx4koN7dGjRxnW/D4VHR0dJk+eTGBgIOvWrUu33tDQkNq1a3P48GFOnz5N48aNAShatChaWlpERkZiYWGBhYUF+fPnx93dXeU+zzdt2LCBGzdu0KxZM6ZPn86CBQu4cOHCJ/9CIIQQIvdRK2Ha2dnh6+vL6tWrOXz4MI0aNQLgzz//xMfHh9q1a2dpkBUqVKBVq1asXLmSp0+fplvfpEkTNm7cSMGCBSlfvjyQemtK69atmTt3LufOnePBgwdMnTqVu3fvKrXXt4WFhTF37lyuXr1KSEgI+/btw9zcPEu/EAghhMgd1EqYI0aMwNTUFF9fX7777jtlZp+FCxdStGhRBg4cmKVBAgwcOBBtbW0WLVqUbl3dunUBlNplmuHDh1OrVi0mTZpE7969efXqFYsWLUJfXz/DY7i6uiozCnXu3JkHDx4wf/58tLRk0nIhhPjaaURGRqa8f7OM/f3335ibm3/KeHIdW9vn2R2CWnx8DKlZUydL9h0YGEiZMmWyZN+5jZTFv6Qs/iVl8a/cXBYfNNPP06dPOX/+PP/88w8tWrQgMjISU1PTdANxhBBCiC+N2pnOw8OD9evXk5SUhIaGBt9++y2LFy/m+fPnLFmyhPz582dlnEIIIUS2UqsPc926daxbtw4XFxc2btyozJTTt29fnj17hpeXV5YGKYQQQmQ3tWqYW7dupVevXvTu3Vu5vxGgevXquLi4sHLlyiwLMKfz8TF8/0Y5gLl5rpk2WAghciS1EubTp0+pUqVKhussLCyIjIz8lDHlKlk1kEYIIUTOola1w8zMjEuXLmW47vr161/9SFkhhBBfPrVqmG3atGHZsmXo6+srU+TFxMRw4MAB/Pz86N27d1bGKIQQQmQ7tRJm9+7dCQ0NxdvbG29vbwAGDx4MQPPmzZWJDL5G585l7aPNPoS5uSYWFjLJghBCZAW1EqaGhgZjx46lS5cunD9/nsjISPLly0fVqlWxsrLK6hhzNGfnmOwOQeHjYygJUwghsohaCdPX15eWLVsqk5i/KSQkhHXr1jF27NgsCVAIIYTICTJNmCEhIcr/fX19sbS0JDExMd12R44cYdeuXZIwhRBCfNEyTZjz58/H398fgJSUFCZNmpThdikpKVn+tBJ1tW7dOtNHd82ePZsGDRqoLDt79iyDBw/m7NmznyE6IYQQuVmmCXPcuHFKIpk+fTq9evVK1xyrpaWFoaEhNWvWzNooP8CwYcNo2rRpuuVGRkbZEI0QQogvRaYJs3Dhwjg6OgIQGhpKq1atlIdG52QGBgaYmppmdxhCCCG+MGoN+nF2dlb+n5KSoswlm5ycTHx8PJcuXcLe3j5rIvyEYmJi+PXXXzlx4gSmpqa0atVKZX1YWBju7u6cO3cODQ0NmjRpwtChQ9HT08umiIUQQuQUaiXMJ0+eMHPmTC5cuEBycnKG25w+ffqTBpYVfv31Vx48eICnpyfPnz/Hzc1NWZeQkMDAgQOxsLBg2bJlREVF8csvv5CSkiIDmoQQQqiXMN3d3bl+/Trt2rXj6tWr6OvrU7lyZU6fPs39+/eZPXt2Vseptrlz57JgwQKVZfny5WPjxo0cOnQIDw8PypUrB6Q+bWXu3LkAnDp1iqdPn7JixQqMjY0BGDt2LCNHjmTgwIEYGuaOSdaFEEJkDbUS5sWLF3FxcaFLly5s2bKFY8eOMWTIEAYMGMDgwYM5evRojmmSdXJywsHBQWWZpqYmDx8+JCkpSeVJ3+XLl1f+HxQUhIWFhZIsASpXrkxSUhIPHz6kQoUKWR+8EEKIHEutydfj4uKURGNpacmdO3cA0NbWpn379pw/fz7rIvxAJiYmygQLaT9FixZV1qf1v0Jq/Gky6qdMa37OrBlaCCHE10OthGlqakp4eDiQ+jiv6Oho5XdjY2MiIiKyLsJPpHjx4mhra3Pz5k1lWVriByhZsiSPHj0iKipKWXbt2jW0tLQoVqzYZ41VCCFEzqNWwqxTpw5eXl5cvHiRwoULY25uzrp164iOjmbnzp0ULlw4q+NUW2xsLOHh4el+NDQ0aN68OfPnz+fatWucP3+eFStWKK+zs7OjePHiTJ06lcDAQC5cuMC8efNo3LgxJiYm2XdCQgghcgS1+jBdXFy4desW3t7eeHp6MmDAAKZOncqGDRsAGDNmTJYG+SEWLlzIwoUL0y3v1q0bY8aMYe7cuQwdOhQjIyM6duzIokWLgNR+zjlz5jBnzhz69u1L3rx5adq0KYMGDfrcpyCEECIH0oiMjEx5/2apwsPDlUkBLl++zLVr16hYsSLVqlXLsgBzOlvb59kdgsLHx5CaNXU++3EDAwNVBlN9zaQs/iVl8S8pi3/l5rJQq0nW19eXsLAwlRl0bG1t6dGjB2ZmZjnqthIhhBAiK8jTSoQQQgg1fFFPKxFCCCGyyhf3tJLPzccn58wAZG6uVgu7EEKI/+CLe1rJ55Ydg2yEEEJ8fh/8tBKA+/fvExQUhJWVFSVLlsyKuIQQQogc5Z0J09/fnyVLltCmTRs6duwIwKJFi1i/fj0pKSloaGjQvn37HHUfphBCCJEVMu30unbtGqNHjyYlJUXpu7xw4QLr1q3DxsaG1atX89NPP7Fr1y727Nnz2QIWQgghskOmNcx169ZRpUoVPDw8lEnKf//9dzQ0NJg8eTLFixenXLly3L17l+3bt9OiRYvPFnROcu5cQrYc19xcEwsLrWw5thBCfI0yTZhXrlxh+PDhKk/0OHfuHJaWlhQvXlxZVqNGDX7//fesjTIHc3aOyZbj+vgYSsIUQojPKNMm2ejoaAoWLKj8HhwcTGRkZLpp8LS1tTOc0EAIIYT4kmSaME1MTHj27Jny+7lz59DQ0KBGjRoq2wUFBVGgQIGsi1AIIYTIATJtkq1WrRrbt2+nUaNGpKSksHPnTvT19alVq5ayTVxcHJs3b8bW1vZzxEpERAQ+Pj789ddfREVFYWZmRtOmTenRowf6+vqfJQYhhBBfp0wTZt++fenbty9t2rRBQ0ODsLAwXFxcyJMnDwBbt25ly5Yt/P333/z6669ZHujTp09xdnamSJEiuLm58c0333D37l2WLVuGv78/np6ekjSFEEJkmUwTpqWlJcuXL2fdunU8f/5cSZ5pfHx80NPTY/bs2ZQuXTrLA50zZw6FCxdm8eLFykCkIkWKULVqVTp37szy5cvl2ZVCCCGyzDsnLihVqhQ//vhjhuvWrFmDqakpmppZP39pREQEf/31F3PnzlUZtQuQL18+OnfuzNq1a3F1dSUgIIA5c+YQGBiItbU1dnZ2XLp0CU9PT3bv3q38m8bV1ZUqVaowYMAA3NzcMDQ05Pnz5xw/fpxChQrRp08fZYpAIYQQX6//nO0KFy78WZIlwO3bt0lOTqZixYoZrre1teX58+fcu3ePYcOGYW1tjZ+fH02bNmXVqlUfdKytW7cqr69VqxazZs0iKirqE5yFEEKI3CxXPN4iOjoaSK1NZsTIyAiAY8eOoaenx+jRoylZsiQdO3bEwcHhg45VunRpevbsSYkSJRgwYACvXr3i3r17H3cCQgghcr1ckTDTEuKbt7m86Z9//gHgxo0blC1bVqXZtnLlyh90rKJFiyr/NzRMfXSX3GcqhBAiVyTMChUqoKWlxa1btzJcf/PmTUxMTChatCgpKSkq697+/W1JSUkqv+voyOO6hBBCpJcrEqaJiQkODg74+vqmq+3FxMSwfv16WrZsSZkyZQgMDFRJgm8mWR0dHWJjY5UkmpKSwpMnTz7PSQghhMjVckXCBBg+fDhxcXEMGTKEixcv8vfff3Py5En69++PmZkZzs7ONGnShLi4OObPn09wcDDbt2/n4MGDaGhoAKk11djYWNasWUNISAiLFi1S+keFEEKId8k1CdPU1JTly5djbW2Nm5sb//vf/5g/fz4NGjTAy8sLfX198ubNy7x587hy5Qpdu3Zlz549NG/eXOnTtLCwYNiwYWzYsIHu3buTkJBA48aNs/nMhBBC5AbvvA8zpzExMWHEiBGMGDEiw/UhISEkJyezdu1aZdns2bMxNTVVfu/WrRvdunXL8PVTpkxJt+zs2bMfGbUQQogvQa6pYaojNjaWQYMGcejQIUJDQzly5Ah//PHHB99aIoQQQrwtV9Uw38fa2poxY8awdOlSwsLCMDMzY9iwYdStWze7QxNCCJHLfVEJE6BNmzYqc95mNR8fw892rDeZm39RjQNCCJHjfXEJ83OrWVPu2xRCiK+BVFOEEEIINUjCFEIIIdQgCVMIIYRQg/RhfqRz5xKy/Bjm5ppYWGhl+XGEEEJkThLmR3J2jsnyY/j4GErCFEKIbCZNskIIIYQaJGEKIYQQashVCdPOzi7d3K6XLl3C3t6euXPnZlNUQgghvga5KmG+LTAwkFGjRtG4cWNGjRqV3eEIIYT4guXahBkSEsKwYcOws7Nj0qRJyjMvhRBCiKyQKxNmREQEQ4cOpXTp0kyfPh0trX9HkIaHhzN+/HgcHByoU6cO3bt35+LFiwA8efIEOzs7Dh8+TLt27WjYsCGjRo0iMjJSef3Vq1dxdnamXr16tG7dms2bN3/u0xNCCJED5bqEGRsby7BhwwgLC2P69Ono6KjO5TplyhQSExPx9fXFz88PMzMzZs2apbLNqlWrmDZtGvPmzePGjRv4+fkBEBQUxKBBg6hatSp+fn44OzuzePFi/vzzz892fkIIIXKmXJcwZ8+eDYCOjg6rV69Ot97e3p4xY8ZgaWlJqVKl6NChA0FBQaSkpCjbODs7U6lSJapVq0bTpk25efMmANu3b6d06dIMHDiQEiVK4OjoSMeOHZWEKoQQ4uuV6yYuMDIyUmp9c+fOpWHDhlSuXFlZ3759ew4cOMDVq1cJDg7m9u3bACQlJSnbFC1aVPm/gYEBiYmJADx48ICKFSuqHM/GxoYtW7Zk5SkJIYTIBXJdDXP48OGYmJjQvn17KleuzLRp03j16hUAycnJDB48mLVr12JmZkb37t2ZMmVKun283YybRldXN92ypKQklWQrhBDi65TrEmbaAB8NDQ0mTpxIaGgoXl5eQGof5KVLl1i8eDF9+/albt26PHv2TO19W1pacuPGDZVl165do3jx4p/uBIQQQuRKuS5hvsnS0pLevXuzfv16rl69iqGhIZqamhw8eJDQ0FAOHTqEt7c3AK9fv37v/tq3b8/du3dZunQpwcHB7Nmzhy1btvC///0vq09FCCFEDperEyZA7969KVmyJNOnT8fY2Jhx48axbt06OnXqxKpVqxg1ahTa2trcuXPnvfsyMzNjwYIFnD59mq5du7JixQqGDRtGmzZtsv5EhBBC5GgakZGRKe/fTGTG1vZ5lh/Dx8eQmjUz7nfNCQIDAylTpkx2h5EjSFn8S8riX1IW/8rNZZHra5hCCCHE5yAJUwghhFCDJEwhhBBCDblu4oKcxsfHMMuPYW4u32uEECK7ScL8SDl5MI4QQohPR6ouQgghhBokYQohhBBqkCbZj3TuXEKW7NfcXBMLC633byiEEOKzkIT5kZydY7Jkvz4+hpIwhRAiB5EmWSGEEEINkjCFEEIINeSqJtnWrVsTGhoKpD7eS19fnzJlytCvXz9q16793tdfuHCBAQMGcPLkSbS1tQkICCA2NpaqVatmdehCCCFyuVxXwxw2bBh79+5l9+7drFixAhsbG0aOHMnZs2c/eF9jxowhODg4C6IUQgjxpcl1CdPAwABTU1MKFSqElZUVQ4cOpUmTJixYsCC7QxNCCPEFy3UJMyNt2rTh3r17PHr0iJiYGKZOnUrDhg1p1qwZM2bMIDY2Nt1rXF1dCQ0NZcaMGbi5uQHw119/0aNHD+rWrUvDhg2ZOHEiMTFZMwpWCCFE7vJFJExLS0sAgoKCmD59OlFRUXh7e7NgwQKCg4OZNm1autfMmjWLwoULM2zYMEaNGkVISAjjx4+nXbt2/Pbbb8ycOZPz58+zbdu2z306QgghcqBcNegnM4aGqROg3717l6NHj3LgwAGMjY0BmDp1Kq1btyYsLEzlNcbGxmhpaWFgYIChoSERERGMHDmStm3bAlCkSBHs7Oy4f//+5z0ZIYQQOdIXkTDTmlzLlClDSkoKrVq1SrdNcHAwWlqZTwRQvHhxdHV1WbFiBffv31d+mjRpkmVxCyGEyD2+iIR59+5dAB49ekSePHlYu3Ztum1MTU25efNmpvsICAjA2dkZe3t7bG1t6dq1Kxs2bMiymIUQQuQuX0Qf5s6dOylXrhy1a9cmLi6O5ORkLCwssLCwAMDd3T3DgT9v+uOPP7CxseHnn3+mQ4cOVKhQgUePHpGSkvI5TkEIIUQOl+tqmLGxsYSHhwMQGRnJzp07OXjwIB4eHlhaWlK7dm2mTJnC6NGj0dXVZdasWSQnJ2Nqaprunsu8efMSHBxMVFQUxsbG3L9/n+vXr2NkZMS2bdu4efMm5ubm2XGaQgghcphclzAXLlzIwoULAShQoABly5Zl6dKl2NraAuDm5sa8efMYMmQIGhoa2NnZMXr06Az39b///Y9Fixbx5MkTpk6dyp07dxgyZAg6OjpUrVoVJycn9u3b97lOTQghRA6mERkZKW2OH8HW9nmW7NfHx5CaNXWyZN+fWmBgIGXKlMnuMHIEKYt/SVn8S8riX7m5LL6IPkwhhBAiq0nCFEIIIdQgCVMIIYRQQ64b9JPT+PgYZsl+zc3lu4wQQuQkMuhHCCGEUINUY4QQQgg1SMIUQggh1CAJUwghhFCDJEwhhBBCDZIwP8Dr16+ZMWMGDg4ONGvWjDVr1mR3SJ/Uvn37sLOzU/lJm1YwNDSUIUOGUK9ePTp27MjJkydVXnv+/Hm6du2Kvb09rq6uPHr0SGX9pk2bcHR0pEGDBkybNo24uLjPdl4f4vXr13Tu3JmzZ88qy7Ly3HPyNZVRWcyYMSPdNfLmU32+tLJ4/PgxI0eOxMHBAUdHR9zd3Xn16hXw9V0X7yqLr+W6kIT5ARYtWsTVq1fx8PBgwoQJrFy5kgMHDmR3WJ9MUFAQDRo0YO/evcrPlClTSElJYfTo0RgbG7Nq1SpatGjBuHHjCAkJASAsLIzRo0fTrFkzVq9eTcGCBRk9ejTJyckAHDlyBE9PT8aOHcvSpUu5efMm7u7u2XimGXv16hWTJ09WeWh4Vp97Tr2mMioLSL1Ghg4dqnKNpD10/Usri4SEBEaNGoWuri6+vr5MmzaNY8eOsWzZsq/uunhXWcDXc11IwlRTXFwcO3bsYOTIkZQvX5769evTvXt3Nm/enN2hfTJBQUGULl0aU1NT5SdfvnycP3+ehw8fMmHCBEqVKkWvXr2wsbFh586dAGzfvp0yZcrQs2dPSpUqxY8//sjTp085f/48ABs2bKBjx47Uq1ePChUqMH78ePbs2cPLly+z83RV3L9/n759+/L48WOV5Vl57jn1msqsLCD1GilfvrzKNaKvrw98eWVx48YNHj16xE8//YSlpSXVqlWjf//+7Nu376u7Lt5VFvD1XBeSMNUUGBjI69evqVKlirLM1taWmzdvkpiYmI2RfTpBQUGUKFEi3fLr169jbW2NgYGBsqxKlSpcu3ZNWV+1alVlnb6+PmXLluXatWskJSVx69YtlfWVKlUiKSmJO3fuZOHZfJjLly/z7bffsmLFCpXlWXnuOfWayqwswsPDiY6OzvAagS+vLEqUKIG7uzt58+ZVlmloaJCQkPDVXRfvKouv6bqQmX7UFB4ejpGREXp6esqyAgUKkJCQQGRkJKamptkY3cdLSEjg8ePHnDhxAm9vb5KTk3FwcMDFxYXw8HAKFSqksn2BAgV4+vQpkFo2b59/2voXL17w6tUrlddra2tjbGysvD4naNeuXYbLs/LcdXR0cuQ1lVlZBAUFoaWlhaenJ6dOncLY2JiuXbvi6OgIfHllkT9/fuzs7JTfk5OT2bx5M7a2tl/ddfGusviargtJmGqKj49HV1dXZVna769fv86OkD6phw8fkpSURJ48eZg5cyYhISHMmzePly9f8urVK3R0VB81pqurS0JCApBx2ejo6PD69WtlUMDbr9fR0VFen5PFx8dn2bknJSXlqmvqwYMHAJQpU4ZOnTpx8eJFZs6cib6+Po0aNfriy8Ld3Z07d+6watUq1q9f/1VfF2+WxcWLF4Gv47qQhKkmXV3ddG9Q2u9pbfW5mZWVFQcOHMDExAQAa2trUlJSmDx5Mm3atCE2NlZl+9evXyvnnVHZJCQkYGxsrFzcbyfHhIQElW+NOZWenl6WnbuGhkauuqY6dOhAkyZNMDY2BlI/IB8+fMjWrVtp1KjRF1sWKSkpzJ8/ny1btvDrr79iZWX11V4XGZVFqVKlvprrQvow1VS4cGFevHih8sY+e/YMXV1djIyMsjGyTyctWaYpWbIkiYmJmJqa8uzZM5V1ERERFCxYEEgtm7fXP3v2DFNTU4yNjdHT01NZn5iYSFRUVK5oxi5UqFCWnXtuu6Y0NDSUD8U0lpaW/PPPP8CXWRbJyclMnz6drVu3MmPGDOrXrw98nddFZmXxNV0XkjDVZG1tjY6ODlevXlWWXblyhXLlyqGtnfsr6keOHKFZs2YqF2ZAQAD58uWjUqVKBAQEqNwbdfnyZSpVqgSkdtJfuXJFWRcfH09AQACVKlVCU1OT8uXLc/nyZWX9tWvX0NLSomzZsll/Yh8pK889t11T7u7ujBgxQmXZnTt3KFmyJPBlloW7uzv79+9n1qxZNGzYUFn+NV4XmZXF13RdSMJUk76+Pj/88AOzZ8/mxo0bHD9+nLVr19KpU6fsDu2TqFq1KikpKcyYMYPg4GBOnDjBokWL6N69O9WrV8fc3Bw3Nzfu3bvH6tWruX79Om3atAGgZcuW3LhxgxUrVnD//n1+/vlnzMzMqFmzJpDalLd+/XqOHDnCzZs3mT17Ni1btlQZcZdTVatWLcvOPbddU/Xq1ePUqVNs2rSJx48fs3nzZvbu3Uv37t2BL68srl27xsaNG3FxcaF8+fKEh4crP1/bdfGusviargt5vNcHiI+P59dff+XIkSMYGBjQrVs3unXrlt1hfTJ37tzB3d2dmzdvYmhoSNu2benXrx8aGho8evSIn3/+mRs3blC0aFFGjBhBrVq1lNeePHmSBQsW8Pfff1OpUiUmTZpEsWLFlPWrV69mw4YNvH79mgYNGjB27Nhs74/JjJ2dHR4eHsqowKw895x+Tb1dFgcPHmT58uU8fvyYokWL4urqqlLb+JLKYuHChaxbty7DdSdPniQ0NPSruS7eVxZHjhz5Kq4LSZhCCCGEGqRJVgghhFCDJEwhhBBCDZIwhRBCCDVIwhRCCCHUIAlTCCGEUIMkTCGEEEINkjDFR3F1daV27drKY43e5uzsjKur62eJ5cmTJ9jZ2bF9+/bPcrwP8fTpUwYOHIi9vT2NGjXi4cOH6bbZvXs3dnZ26Z5G/1+0bt2an3766T+//vbt27i5udG6dWvs7e1p3bo1bm5uBAcHf3Rsmbl48SKdOnWiTp06dOrU6ZOWx6embvm+fv2ajRs30qdPHxwcHPj+++/p3bs327dv/2IeC/g1yXnzb4lcJykpCTc3N9auXZtjJyPIbuvXr+fixYtMnjyZwoULU6RIkewOKVPbtm1jzpw5VKlSBWdnZwoXLkxISAgbN26kV69eLFy4UOX5hJ+Ku7s78fHxzJ49G2NjY4oUKYK3tzeFCxf+5Mf6HJ4/f86wYcMICQmhffv29O3bF4BTp04xa9Yszpw5w88//4yWllY2RyrUJQlTfDRDQ0MePnzI0qVLGTlyZHaHkyNFR0dTsGBB5RmBOdW1a9eYM2cO7dq1Y8yYMSrrGjVqRO/evZkyZQpbt2795B/0UVFR2NjYUKdOHWVZgQIFPukxPqdp06YRGhrK8uXLlXlVAezt7bG0tGTOnDnUrl2bVq1aZV+Q4oNIwhQfzcrKipIlS7Jp0yYaNGhAtWrVMt3W1dWVpKQkfHx8lGWPHj2iffv2/PTTTzg6OnLhwgUGDBiAh4cHq1at4tq1a5iYmNC3b1/q16/P/PnzOXHiBHny5KFFixYMGjQIDQ0NZX/Pnj1j9OjRnDlzBmNjYxwdHXFyclKZrPmvv/5i+fLl3Lt3j7x589KwYUMGDx6MoaEhkNo8+ssvvzBp0iSWLl3K69evWbhwIRUrVkx3TjExMfj6+nLs2DH++ecfihYtSpcuXZR5RVu3bk1oaCiQOtVcixYtmDJlyn8u78DAQHx8fLh8+TIvXrygQIECNGjQgCFDhqjU8JOSkliwYAF79uwhOTkZe3t7hg4dqjxRIyN+fn4YGhoyZMiQdOvy5cvH8OHDuX79Oi9evFCebnPw4EHWrl3LgwcPyJMnD/Xq1WPgwIHKem9vb/bt28fYsWNZsmQJQUFBFCxYkE6dOtG1a1eePHmilFVoaCj79+9XmjunTZvG1q1bsbCwwM3NjbCwMKysrNi9ezfGxsZs2rQJe3t7xo4dy61btzh8+DCampo0a9aMoUOHsmLFCnbs2MHr16+xs7Nj/PjxKk/l2bVrF+vXr+fhw4fkz5+f5s2b4+LiovJ8xitXruDh4cGdO3coWLBghmXztrt37+Lv78/gwYNVkmWadu3a8eDBA5VY1HlfAwICWLx4MTdv3iQhIYGyZcvi5OTEt99+q+zn/v37eHh4cOnSJZKTk6lWrRrDhw+nRIkSyjZ//vknq1ev5sGDB+jp6VG9enUGDx6MhYXFe8/tayYJU3wSw4cP5+zZs0yfPp3169eTJ0+ej97n5MmT6datGz169MDPz49Zs2axceNG6tSpwy+//MLhw4dZs2YN1tbWNGnSRHmdr68vjRs3ZubMmVy9epVVq1aRkJCgfNAdPHiQyZMn07BhQ/r160dYWBienp4EBgbi5eWlJNakpCS8vLwYM2YMUVFRGT5dJT4+HmdnZ8LDw3FycqJYsWIcPXqUGTNmKMtmzpyJt7c3t27dYtasWR9VawoPD8fFxYVy5coxceJE9PT0OHnyJJs2baJAgQL069dP2fbw4cOULVuWSZMm8fz5c5YuXcqjR49YsWJFhvtOSUnh1KlT2NvbZ9q0bm9vj729vfL78uXL8fLyok2bNjg7OxMSEoKPjw/Xrl1j5cqVyn6ePXvGzz//TK9evbCwsOD333/H3d0dKysrqlatire3NxMmTKB06dL069eP4sWLc/LkyXTHv3z5MgkJCcyYMYOYmBjlmapLlizh+++/Z+bMmZw4cYLffvuN8+fPU7RoUSZNmsSDBw9YsmQJxsbGTJgwAUj9crB48WLatm3L4MGDuXfvHj4+Pjx+/JiZM2cCqUls0KBBVKxYkWnTphEZGcns2bOJiop65/vk7++vlFdGtLS0VGrw6ryvMTExDB48GBsbG9zc3IDUpv4RI0awefNmihYtyqNHj3BycsLc3Fw5zzVr1uDk5MTatWsxMzPj8uXLTJ48mR49ejBkyBAiIiJYtmwZw4cPZ8uWLSpfPoUqSZjikzAwMGDy5MkMHjyYxYsXM3bs2I/eZ/PmzenVq5eyfycnJ6ysrBg6dCgAtWvX5tChQ1y5ckUlYdaoUYNp06YBULduXeLj4/ntt9/o0aMHxsbGLFq0iGrVqvHrr78qrylTpgzOzs4cOnSIpk2bKst79eqlMon023bv3s29e/fw9PRUatZ16tQhKSmJVatW0b59eypUqED+/PnR0dHB1tb2o8okMDCQUqVKMXv2bPLly6eUw/nz57l48aJKwjQ0NMTDw0OpNRcoUICxY8fi7++v0uyZJjIyklevXqndvxodHc3KlStp2bIlEydOVJaXKVMGV1dXduzYoTxVIi4ujhkzZijHtbW15cSJExw/fpxvv/0WW1tbdHV1yZ8//zvLKDExkYkTJ2JpaamyvFixYvz4449A6vu/a9cuXr58yaxZs9DR0cHe3p6LFy8qj4mKiYnBx8eHli1bKomlTp06FC5cmJ9++omrV69iY2PD6tWrMTQ0ZOHChUryL1myJC4uLu8sm7CwMAC1y1Kd9/XBgwdERkbSs2dPbGxsAKhYsSKrVq0iPj4eAB8fH7S0tFi2bJnyjMrvvvuOdu3asWLFCiZMmMCVK1fQ19fH2dlZeYCzubk5J0+e5OXLlxgYGKgV89dIRsmKT6ZmzZq0b9+erVu3cvbs2Y/e35sfnGkPm077oADQ1NTEyMiIFy9eqLzuzeQJ0LBhQ169esXVq1d5+PAhYWFhNGjQgMTEROWnYsWKmJqacubMGZXXli5d+p0xXrx4kcKFC6drhm7RogWvX7/OdPTwf1W7dm2WL19O3rx5lcewrVy5kufPn6d7Mn2dOnWUZAmpj+fS0tLK9L1J65NMTk5WK5br16/z+vVrlS8YkPpItG+++YYLFy6oLH9zoJC+vj7GxsbKB726dHR0VJoWM9q3trY2JiYmlCtXTqVp1djYWLlWrl27Rnx8PPXr11e5Duzt7dHU1FSugwsXLlC7dm2VGretrS1mZmbvjPNDy1Kd99XKyoqCBQsycuRIZs+ezfHjx9HV1WXEiBFYWVkBcO7cOapXr46BgYFyTvr6+tjZ2XH69Gkg9QvFq1ev6Nq1K56enspzPAcOHCjJ8j2khik+qSFDhnDq1Cl+/vln1q9f/1H7yuh5mW83FWbUfPR2H11aE2h0dDSRkZEAzJs3j3nz5qV7bdpT4jPb19uio6MzbGJNe93byfxjJScn4+XlxW+//UZsbCxmZmZUrFhRaZrMKIY0mpqamJiYZBqTkZERBgYGPHnyJNPjv3r1ihcvXmBqakp0dHSGx0lb9vZx3n7vNDU11U4oafLnz4+mZvrv+RldK293C7x5raQ1qY4ePTrD46RdB1FRUeTPnz/d+kKFCr0zTnNzcyD1Vqe0ZPa2sLAwChYsiLa2tlrva548efD19WXVqlUcPnyYLVu2oKurS8OGDRk3bhyGhoZERkZy+PBhvvvuu3THS+tqqFixIh4eHqxfv57169ezYsUKjI2N6dixI05OTtIk+w6SMMUnlSdPHn788UcGDBiAu7t7uvUaGhokJSWpLIuNjc1wX//1DzftgzzNs2fPgNTEmVbjGjRokPIA2zd96DdsIyMjHjx4kG552gfum4M6PoXVq1ezZs0aJk2aRIMGDZTz6d27d7pt3y6HxMREIiMjM0wAab799lsuXLhAfHx8hv2Yf/75J25ubri7u2NkZASklu/bSeGff/6hUqVKH3p6/9mHXitp5TZ16tQMB+WkvW/58+dXrp83RUZGqjzP8W21atVi4cKF+Pv7Z5owXV1dMTExYeXKlWq/r2l9sikpKQQGBioDroyMjBgzZgz58uWjevXq9OjR453nX716dapXr05CQgKXL19m69at+Pj4UKpUKRwcHN752q+ZNMmKT65atWp06tSJnTt3cvfuXZV1BgYGPH36lJSUfx/D+nbT3cc6fvy4yu/79+9HT0+PSpUqUbJkSQoUKEBISAgVKlRQfooUKcLixYs/uAm1WrVqPH36lIsXL6os37dvH1paWp88aVy5coWSJUvi6OiofKiGhYVx7969dLW106dPqzTTHj58mKSkJGrUqJHp/rt160Z0dDRLlixJty4qKorly5dTuHBh7OzsqFixIrq6uuzfv19lu4sXLxIWFvbR/bVZqVKlSujq6hIWFqZyHRgYGLBw4UKCgoKA1FHN/v7+xMTEKK8NDAwkJCTknfu3srLiu+++Y82aNRlOvLBx40ZCQkJo2bIloN77eujQIZo0aUJ4eDgaGhpYW1szaNAgSpQoobQKVKtWjfv372Ntba1yXps2bVLep4ULF9KrVy9SUlLQ0dGhZs2ajB8/HkAZzS0yJjVMkSUGDhzIyZMn081oY29vz/Hjx5k1axbff/89t2/fZvPmzZ+0GejEiRPMnz+f7777jtOnT7N9+3acnJyUGtGgQYP4+eefgdR+vbi4ONasWcPjx48/eLCSo6MjmzdvZty4cTg7O1O0aFGOHz/Orl276NOnjzLw4kPs3r07w5pp+/btqVixIqdOnWL58uVUrlyZx48fs3r1al6/fk1cXJzK9lFRUYwePZrOnTvz6NEjPD09qVGjBrVq1cr02JUrV8bV1ZVly5bx4MEDfvjhBwoUKEBQUBAbNmwgKiqKpUuXoq2tjbGxMT179sTX1xdtbW3q1avHkydP8Pb2pkSJEkoyyIlMTEzo2bMnPj4+vHjxgpo1axIREYGvry+vXr2ifPnyADg5OXH06FEGDRpEr169iIuLw9vbWxks8y7jx49n0KBB9OnTh44dO1K5cmXi4uI4duwY+/bto0mTJrRt2xZArfe1SpUqJCcnM3LkSHr06IGRkRGnTp3i/v379OzZE0idWatv374MGTKEDh06kCdPHnbu3Mnhw4eVkbV2dnasX7+eyZMn88MPP5CcnMzWrVvR09PLdFSvSCUJU2QJfX19fvrpp3SjCR0dHXny5Am7du1iz549VKpUiQULFry3CelDjBw5kkOHDrFt2zYKFizIsGHD6Nq1q7K+ZcuWGBgYsGbNGvbu3Yu+vj6VK1dm0qRJ6UZfvo++vj5eXl4sWbKEFStWEBMTQ/HixZk4caJyb+GHWrlyZYbLHR0d6dWrF5GRkWzZsoVVq1Zhbm5OixYt0NLSYvny5URGRirJtm3btrx69YpJkyahpaVF06ZNGTp06Hu/nPTp04dy5cqxefNmlixZQmRkJIULF6ZGjRr07duXokWLKtu6uLhQsGBBfvvtN+XeSAcHBwYMGJBhv2JO4uLigqmpKZs3b2bTpk1Kc+aAAQOUfumiRYvi7e3NwoULcXNzI1++fPTo0SNdrToj5ubmLF++nE2bNnH48GE2bNiAlpYWxYsX56effqJZs2bKe6HO+2pqaoqHhweenp7MmTOHly9fUrx4cX788Ud++OEHILVm6+Pjw7Jly/j5559JTk7G0tKSGTNm0KhRIyB1gNEvv/yCn58fkydPJiUlhfLly7NkyZIMB1SJf2lERkamvH8zIYQQ4usmfZhCCCGEGiRhCiGEEGqQhCmEEEKoQRKmEEIIoQZJmEIIIYQaJGEKIYQQapCEKYQQQqhBEqYQQgihBkmYQgghhBr+D2h9CzR0ZYJZAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting top 10 states with corresponding confirmed cases\n", + "Top_10_covidngcases = sns.barplot(x='Number of Lab Confirmed Cases', y='States Affected', data=covidnig_lab10confirmed, color = 'blue').set_title('Top 10 covid cases in Nigerian States')\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bb27389", + "metadata": {}, + "source": [ + "Lagos with the highest covid case and Delta is with the lowest." + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "b92dd2a0", + "metadata": {}, + "outputs": [], + "source": [ + "#Generating a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values\n", + "covidnig_10Discharged = covidnig.sort_values('Number of Cases Discharged', ascending = False)\n", + "covidnig_10Discharged = covidnig_10Discharged.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "a35d2c2c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "covid_disch_plot = sns.barplot(x='Number of Cases Discharged', y='States Affected', data=covidnig_10Discharged, color = 'blue').set_title('Top 10 covid Discharges')\n" + ] + }, + { + "cell_type": "markdown", + "id": "0ad7bc8a", + "metadata": {}, + "source": [ + "Lagos showing the highest number of discharges is because it has a high population figure, hihest number of confirmed cases and better health management system." + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "5d9f17bb", + "metadata": {}, + "outputs": [], + "source": [ + "#Plotting the top 10 Death cases" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "ab31af8a", + "metadata": {}, + "outputs": [], + "source": [ + "#Generating a plot that shows the Top 10 states in terms of death cases. Hint - Sort the values\n", + "covidnig_10Deaths = covidnig.sort_values('Number of Deaths', ascending = False)\n", + "covidnig_10Deaths = covidnig_10Deaths.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "05873dbe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "covidngdeaths_plot = sns.barplot(x='Number of Deaths', y='States Affected', data=covidnig_10Deaths, color = 'blue').set_title('Highest Death Cases')\n" + ] + }, + { + "cell_type": "markdown", + "id": "204b639c", + "metadata": {}, + "source": [ + "Lagos having the highest death cases also due to its high population and number of confirmed cases." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8dea2020", + "metadata": {}, + "outputs": [], + "source": [ + "#Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "de574c85", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Lat 9.0820\n", + "Long 8.6753\n", + "1/22/20 0.0000\n", + "1/23/20 0.0000\n", + "1/24/20 0.0000\n", + " ... \n", + "8/18/22 262748.0000\n", + "8/19/22 262748.0000\n", + "8/20/22 262912.0000\n", + "8/21/22 262912.0000\n", + "8/22/22 262912.0000\n", + "Name: Nigeria, Length: 946, dtype: float64" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#extracting data for confirmed cases in Nigeria\n", + "confirmed_nig = JH_confirmed_global.groupby('Country/Region').sum().loc['Nigeria']\n", + "confirmed_nig" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "eb9f4215", + "metadata": {}, + "outputs": [], + "source": [ + "TotalConfirmed=JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "7658da46", + "metadata": {}, + "outputs": [], + "source": [ + "TotalRecoveries=JH_Daily_Recovery_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "9a3442af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recovered Cases 39492087\n", + "dtype: int64" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalRecoveries" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "1a7e95d0", + "metadata": {}, + "outputs": [], + "source": [ + "TotalDeaths = JH_Daily_Deathsdf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "1b6acec0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Country/Region AfghanistanAlbaniaAlgeriaAndorraAngolaAntarcti...\n", + "Death Cases 3210225599\n", + "dtype: object" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalDeaths" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "30b584e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Confirmed Cases 135384240\n", + "dtype: int64" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalConfirmed" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "4bb78c77", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "Totaldeaths=JH_Daily_Deathsdf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "b03e0e6d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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total
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Recovered Cases39492087
Death Cases1768099
\n", + "
" + ], + "text/plain": [ + " total\n", + "Confirmed Cases 134858416\n", + "Recovered Cases 39492087\n", + "Death Cases 1768099" + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Getting a dataframe for total daily cases\n", + "z = np.array([134858416, 39492087, 1768099])\n", + "df2 = pd.DataFrame(z, columns=['total'], index=[\"Confirmed Cases\", \"Recovered Cases\", \"Death Cases\"])\n", + "df2" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "c134d84c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Confirmed Cases')" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for confirmed cases in Nigeria using seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Confirmed_Nigeriadf , x = 'Date', y = 'Confirmed Cases').set_title('Daily Total Confirmed Cases')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9b4c5b23", + "metadata": {}, + "outputs": [], + "source": [ + "The apparent increase in daily confirmed cases are cummulative values" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "fb51b47b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Recoveries')" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for Recovered cases in Nigeria using seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Recovery_Nigeriadf , x = 'Date', y = 'Recovered Cases').set_title('Daily Total Recoveries')" + ] + }, + { + "cell_type": "markdown", + "id": "d65ffa95", + "metadata": {}, + "source": [ + "Increased daily recovery cases were recorded. These records again were cummulative values. No record of recovery in Nigeria was recorded from 2021-09 because only death cases were recorded as cummulative lac confirmed cases increased as time of data retrieval in August 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "b7211359", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Deaths')" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for death cases in Nigeria using a seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Deathsdf , x = 'Date', y = 'Death Cases').set_title('Daily Total Deaths')" + ] + }, + { + "cell_type": "markdown", + "id": "906c6d18", + "metadata": {}, + "source": [ + "Record for daily total deaths were cummulatively increasing as at the time of data retrieval in August 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "d57cb913", + "metadata": {}, + "outputs": [], + "source": [ + "#Determine the daily infection rate, using the Pandas diff method to find the derivate of the total cases.\n", + "JH_Daily_Confirmed_Nigeriadf['Infection Rate'] = JH_Daily_Confirmed_Nigeriadf['Confirmed Cases'].diff()" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "2e78df9a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateConfirmed CasesInfection Rate
02020-01-220NaN
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22020-01-2400.0
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............
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\n", + "
" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "0 2020-01-22 0 NaN\n", + "1 2020-01-23 0 0.0\n", + "2 2020-01-24 0 0.0\n", + "3 2020-01-25 0 0.0\n", + "4 2020-01-26 0 0.0\n", + ".. ... ... ...\n", + "939 2022-08-18 262748 84.0\n", + "940 2022-08-19 262748 0.0\n", + "941 2022-08-20 262912 164.0\n", + "942 2022-08-21 262912 0.0\n", + "943 2022-08-22 262912 0.0\n", + "\n", + "[944 rows x 3 columns]" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Checking if new data has been created\n", + "JH_Daily_Confirmed_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "edf41ce5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Generating a line plot for daily infection rate in Nigeria from global data\n", + "plt.figure(figsize = (20,10))\n", + "sns.lineplot(x = 'Date', y = 'Infection Rate', data = JH_Daily_Confirmed_Nigeriadf)" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "09f7b2d2", + "metadata": {}, + "outputs": [], + "source": [ + "#Calculating maximum infection rate for a day (Number of new cases)\n", + "#Find the date\n", + "Highest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].max()" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "8baf6f59", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6158.0" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Highest_infection_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "d0baa6e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateConfirmed CasesInfection Rate
7002021-12-222314136158.0
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" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "700 2021-12-22 231413 6158.0" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == 6158.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "fe6fc629", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-30.0" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Calculating minimum infection rate for a day (Number of new cases)\n", + "Lowest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].min()\n", + "Lowest_infection_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "39a3618a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateConfirmed CasesInfection Rate
8122022-04-13255633-30.0
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" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "812 2022-04-13 255633 -30.0" + ] + }, + "execution_count": 114, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date for minimum infection rate\n", + "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == -30.0]" + ] + }, + { + "cell_type": "markdown", + "id": "d06167ae", + "metadata": {}, + "source": [ + "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset. \n", + "# Will generate and explain a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. " + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "a9211792", + "metadata": {}, + "outputs": [], + "source": [ + "#Combine the two dataset together on a common column(states)\n", + "NCDC_external = covidnig_rn.merge(covid_external, on = 'states', how = 'inner')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "609028d1", + "metadata": {}, + "outputs": [], + "source": [ + "#Obtain top 10 Lab confirmed cases fro external data using df.nlargest()\n", + "Top10_NCDC_external = NCDC_external.nlargest(10, 'No. of Cases (Lab Confirmed)')" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "9582ba5f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
16Abia980.025.0945.010South East41900000.20.90.60.10.30.90.20.01.14
17Osun979.020.0937.022South West52520000.00.70.40.40.00.80.10.21.06
18Bauchi897.0108.0775.014North East72700000.80.10.20.80.80.20.80.80.85
19Borno778.037.0705.036North East66510000.90.30.11.01.00.10.70.90.89
20Imo734.061.0661.012South East60180000.41.00.90.00.40.90.40.01.12
21Benue515.044.0460.011North Central63760000.50.70.50.70.40.40.30.50.91
22Bayelsa497.055.0421.021South South26060000.50.80.60.10.90.50.20.71.00
23Ekiti405.024.0375.06South West35930000.30.80.30.50.20.80.10.41.03
24Akwa Ibom395.044.0342.09South East60930000.70.80.70.60.80.80.50.11.01
25Jigawa386.057.0318.011North West64350000.90.40.00.70.60.50.90.80.92
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" + ], + "text/plain": [ + " states No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "16 Abia 980.0 25.0 \n", + "17 Osun 979.0 20.0 \n", + "18 Bauchi 897.0 108.0 \n", + "19 Borno 778.0 37.0 \n", + "20 Imo 734.0 61.0 \n", + "21 Benue 515.0 44.0 \n", + "22 Bayelsa 497.0 55.0 \n", + "23 Ekiti 405.0 24.0 \n", + "24 Akwa Ibom 395.0 44.0 \n", + "25 Jigawa 386.0 57.0 \n", + "\n", + " No. Discharged No. of Deaths region Population \\\n", + "16 945.0 10 South East 4190000 \n", + "17 937.0 22 South West 5252000 \n", + "18 775.0 14 North East 7270000 \n", + "19 705.0 36 North East 6651000 \n", + "20 661.0 12 South East 6018000 \n", + "21 460.0 11 North Central 6376000 \n", + "22 421.0 21 South South 2606000 \n", + "23 375.0 6 South West 3593000 \n", + "24 342.0 9 South East 6093000 \n", + "25 318.0 11 North West 6435000 \n", + "\n", + " Overall CCVI Index Age Epidemiological Fragility Health System \\\n", + "16 0.2 0.9 0.6 0.1 0.3 \n", + "17 0.0 0.7 0.4 0.4 0.0 \n", + "18 0.8 0.1 0.2 0.8 0.8 \n", + "19 0.9 0.3 0.1 1.0 1.0 \n", + "20 0.4 1.0 0.9 0.0 0.4 \n", + "21 0.5 0.7 0.5 0.7 0.4 \n", + "22 0.5 0.8 0.6 0.1 0.9 \n", + "23 0.3 0.8 0.3 0.5 0.2 \n", + "24 0.7 0.8 0.7 0.6 0.8 \n", + "25 0.9 0.4 0.0 0.7 0.6 \n", + "\n", + " Population Density Socio-Economic Transport Availability Acute IHR \n", + "16 0.9 0.2 0.0 1.14 \n", + "17 0.8 0.1 0.2 1.06 \n", + "18 0.2 0.8 0.8 0.85 \n", + "19 0.1 0.7 0.9 0.89 \n", + "20 0.9 0.4 0.0 1.12 \n", + "21 0.4 0.3 0.5 0.91 \n", + "22 0.5 0.2 0.7 1.00 \n", + "23 0.8 0.1 0.4 1.03 \n", + "24 0.8 0.5 0.1 1.01 \n", + "25 0.5 0.9 0.8 0.92 " + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Top10_NCDC_external" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "9a6421b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2-axis plotting to establish relationship between overal CCVI index and Lab confirmed cases \n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['No. of Cases (Lab Confirmed)'])\n", + "ax1.set_ylabel('No. of Cases (Lab Confirmed)')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'r-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='r')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('r')\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "bffcdf76", + "metadata": {}, + "source": [ + "Benue, Borno, Bayelsa, Ekiti, Akwa-Ibom and Jigawa all indicated inverse relationship between the No. of Cases (Lab Confirmed) and Overall CCVI Index i.e as Number of Cases (Lab Confirmed) decreased, Overall CCVI Index tended to increase across these states with Jigawa having the highest overall ccvi index but with lowest lab confirmed cases. For Abia, Osun, Imo, overall ccvi index were lower at higher confirmed lab csaes. Bauchi state showed that high number of confirmed cases was at par with its high overall ccvi index i.e the impact of covid crisis can be directly linked to number of confirmed cases. Inverse relationships for other states further suggests that impact of covid crisis is unconnected to number confirmed lab cases alone." + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "id": "729ce8f8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2-axis plotting to establish relationship between overal CCVI index and Socio-Economic index\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Socio-Economic'])\n", + "ax1.set_ylabel('Socio-Economic')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'g-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='g')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('g')" + ] + }, + { + "cell_type": "markdown", + "id": "749e0d26", + "metadata": {}, + "source": [ + "For the top 10 states, here we see some direct correlation between Socio-Economic indices and overall CCVI index in most states. Generally Overall CCVI index are higher than Socio-Economic indices as Osun and Bauchi and Jigawa. Osun state had the lowest and equal Socio-Economic indices and Overall CCV index. Jigawa had the highest and equal Socio-Economic index and Overall CCVI index. It can be infered that the impact of the covid crisis is generally higher and can be traced to Socio-Economic indices such as poverty, unemployment, e.t.c " + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "03328e1e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#2-axis plotting to establish relationship between overal CCVI index and Acute IHR Index.\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Acute IHR'])\n", + "ax1.set_ylabel('Acute IHR')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'y-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='y')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('y')" + ] + }, + { + "cell_type": "markdown", + "id": "ceca7d9a", + "metadata": {}, + "source": [ + "Inverse correlation between Overall CCVI index and Acute IHR were observed in all top 10 states. Abia, Osun, Imo and Ekiti states had lower Overall CCVI index with relatively higher Acute IHR. Abia had the highest Acute IHR index and Jigawa the lowest. Borno and Jigawa had the highest Overall CCVI index. Bauchi, Borno, Benue and Jigawa Sates have the higher Overall CCVI index with correspondingly lower Acute IHR index. Borno and Jigawa had the highest Overall CCVI index. Thses observation suggests that the impact of covid crisis cannot be traced to Acute IHR alone. " + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "id": "e2b86b77", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#2-axis plotting to establish relationship between overal CCVI index and Fragility index.\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Fragility'])\n", + "ax1.set_ylabel('Fragility')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'b-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='b')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('b')\n" + ] + }, + { + "cell_type": "markdown", + "id": "1a6aaf93", + "metadata": {}, + "source": [ + "Inverse correlation is observed between Fragility index and Overall CCVI index in almost all the top 10 states being considered here. While Osun, Benue and Ekiti all had lower Overall CCVI index with a correspondingly higher Fragility index, Abia, Bauchi, Imo, Bayelsa, Akwa Ibom and Jigawa states all had higher Overall CCVI index with correspondingly lower Fragility index. Only Borno showed equal Fragility and Overall CCVI indices. It is therefore inferable that Fragility alone can be responsible for the recorded impact of the covid crisis in Borno. This is however not applicable to other members of the top 10 states where Fragility alone may not be responsible for the recorded impact of covid crisis." + ] + }, + { + "cell_type": "markdown", + "id": "1b05f7bd", + "metadata": {}, + "source": [ + "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset.\n", + "\n", + "#Generating a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", + "\n", + "#Also will Provide a summary of your observation" + ] + }, + { + "cell_type": "code", + "execution_count": 355, + "id": "79236f5a", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Regression plot between Confirmed cases population density of top 10 states.\n", + "# regplot\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=Top10_NCDC_external).set_title('Confirmed Cases and Population Density')" + ] + }, + { + "cell_type": "markdown", + "id": "eaf3d582", + "metadata": {}, + "source": [ + "For the top ten (10) highest confirmed cases, it is generally observed that there is higher uniformity in distribution of confirmed cases across most population densities in states in Nigeria. However, a few outliers (exception to this case) exists: There are five occurences which are above the common distribution value across states and there are five occurences which are below the common distribution value in states of various population densities. " + ] + }, + { + "cell_type": "code", + "execution_count": 430, + "id": "6faecbce", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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xMdHmWEvZicXQoUOxZ88e9OjRo0SxC4KA5557DtnZ2fj999+t26Ojo5GcnOxSkxTJMThiS5VSlSpVcOfOHWRmZqJq1ap2Py42NhYAbH7YWwQFBaF69eq4evUqDAaDTSJ7/2ikpT4t/y+CkgoKCipy3/1fz/JL9/4aVsttT51OB8A8qS47OxuiKGL16tUFntfyizImJgYBAQGIiYlB9erVUa1aNZvjpFIpIiIicOTIkQeeR5UqVRAfH29NcO2lVCqto1vx8fG4du0aEhIScPXqVZw5cwaAuVQCML/ePXr0wL59+9C3b19ERESgTZs26NChg81t5pKe/0svvYRZs2Zh9OjRqFOnDtq0aYPIyEi0aNHigZ0bJBKJdaTz9u3buHLlijV+yy1kk8lU4HGFjWx7enri1q1b1s9jYmIgCEKhSWyTJk3w999/FxtbfrGxsdbve8B8bT09PVG3bl2MGDECffv2tTkWKPn7wzJKmt/jjz+Of//9F//++681+XxYD/taP0hsbCx8fX0LvSaW1yAmJsZme40aNeDm5mazzTLaX1gnhoeRnZ0NIO+PxezsbFy/fh2+vr5Yv359geMtf6jFxMTYXLvCzuv+n11du3bF2rVrsXPnTvz6669o1aqVtXXi/T8X7PXcc88hKirKWjYFmP9osiS9RMVhYkuVUlBQEO7cuYMbN24Um9hqNBpkZGRYb+2p1WoAKLKvbbVq1XDr1i3k5OTY/OK+v27OMmIiiuJDn8P9vxzzK2okt7gRRCDv/OLj460TaApjSULVanWBiXUW9tbYBgcH4+LFi7hx40axCwYYjUYkJCTYjDifP38eCxcutCZqCoUCdevWRcOGDQuMKE2bNg0NGjTA7t27ceHCBVy4cAGrVq1CvXr1MHnyZDRu3LjE59+nTx9UrVoVX3/9Nc6dO4erV6/iq6++gq+vL95++22bW7OFuXLlCr744gtER0cDMCeNtWvXRqNGjXDt2rVCvz8Ku4b5R+AA83VRKBSFHlvS3qaWSYz2eJj3h7e3t82osoVlVLq02kE9zGv9IGq1usgJj5akLicnx2Z7cdfvUX4e5Gf53rfEZrkud+/etev72qKwet/7Y/X398eGDRuwfv16/Pbbbzh48CAOHjwIqVSKp59+GpMmTSrx3Zjg4GA0a9YMf/zxB9LT0+Hm5oZff/0VTZo0KXaCKRHAxJYqqcjISFy4cAEnT560mTl/v59++gmzZ8/GSy+9ZPMD+s6dOwVuaQLmukOZTGYdgaloLAnx008/jZkzZz7weG9vb+svzfvZe2u3bdu22LdvH06ePIlnnnmmyOOio6MxduxYREZGYtGiRbh16xbGjRsHuVyOiRMnonnz5ggNDYVMJsMff/yBQ4cO2TxeJpPh1VdfxauvvoqkpCScPn0aP//8M44dO4b3338fP/74Y4nPHzCXd3Ts2BFqtRpnzpzB0aNHsX//fsycORNhYWFFfn9lZWVhzJgxyMzMxNtvv43IyEiEhYVBoVAgLi7Oepv7YXh7eyMhIQE5OTkF/gB6mFvu9nqY90dOTg5EUSyQnFsSWh8fHwAFk/f8tFptsQm7o15rT09PpKSkFLrP0inCEn9ZsnRYsXQQsVyXxo0bY+3ataX+9YKCgjBlyhRMnjwZ//d//4c//vgDe/bswb59+6BUKh+qg0HPnj1x7tw5HD58GF5eXsjKykLPnj1LPXZyPayxpUrpmWeegUKhwLZt24q8Ba7X6/Hdd98ByOuOYJkEkn+2sUVKSgpu3LhRoA9rRWL5Zf/PP/8Uemt2+/btiIqKsv4yf+yxx5CSklKgNtBgMODff/+162t26NABVatWxU8//VRszfE333wDwFzrCgC//fYbtFotRowYgZdffhl169a1jgJev34dQN6oUkJCApYuXWqt2QsICECvXr2wcOFCdO7cGRkZGbh69WqJzl+n02Ht2rXYsmULAPMoZadOnTBlyhSMGTMGQOHfJxanT59GamoqXnzxRQwZMgT169e3jpBdu3bNrteuKI899hhEUcSlS5cK7Pvnn38e6bmL8zDvj5ycHFy9erXA8RcuXICbmxvCw8MB5I10Wm6zWyQmJj6wpKekr3VxSXR+9evXR3Z2doFyAyAvuaxdu7Zdz1VaDAYDduzYAQDW+laVSoXAwEBcu3at0JXTDh48iFWrViEuLq7EX+/XX3/FnDlzoFarIZFI0LBhQwwfPhzr16+HVCot9j1Q3OvctWtXKJVKHDlyBEePHoWbmxu6detW4vio8mFiS5VSUFAQXn/9daSnp2PcuHHWLgkW2dnZmDlzJv755x80bdrUOmO+R48ekEql2Lhxo7XVEWD+5Tx37lwYjcYKXQOmUCjw9NNPIy4uDl9++aXNvsuXL2PhwoXYvn07vL29AcA6grJw4UKb+sCtW7cWeE2L4unpibfffht6vR7vvvtugUTDYDBgyZIlOHr0KEJCQvDSSy8BgPX29d27d22Oj4uLw8aNG62PBcxlG19++SVWrVplrScGzOUNycnJkEgkqF69eonOX6FQYP/+/VizZk2BxN5yKzgwMLDI8y4q/pSUFCxfvtwm/pLq2bMnBEHA8uXLbUbUDx06hMuXLz/Uc9rjYd8fS5cutbku33//PWJiYtCtWzfrKLqlBOXo0aPW40RRtGsEsqSvteUPpPwxFaZ3794AgAULFtgk3ElJSVi5ciUkEkmZTnYyGAyYO3cu4uLi0KlTJ5uez7169YJarcbixYtt/mhLSEjA3LlzsWnTpodaOjw+Ph7ff/89vv/+e5vtycnJMBqNNn1s72d5nQurLfb09ETnzp1x8uRJHDt2DB06dCiTpc2p4mMpAlVaI0eOxL1797Bjxw707dsX7dq1Q0hICFJSUnDq1CmkpqYiPDwcc+bMsY4sBAcH44MPPsD8+fMxaNAgaz/MEydOID4+Hu3atSswm76iGTduHC5evIhly5bh6NGjiIiIwN27d/HLL7/AZDJhypQp1tGu7t2745dffsHPP/+MN954A61atUJcXBxOnDiB4OBgu2d59+nTBykpKVi1ahVeeeUVtG7dGnXr1kV6ejrOnj2LmzdvIjAw0KZ1Vfv27eHt7Y1NmzYhLi4OtWrVws2bN/H7779bb3VbbgdXq1YNAwcOxNatWzFw4EC0a9cOUqkUp06dwr///osBAwZYayJLcv5jxozBxIkT8cYbb6BLly6oUqUKYmJicOLECTz++OPWCUuFadq0KYKDg3HgwAFkZGSgQYMGuHPnDo4cOQJBECCXywssfGCviIgIvPbaa9i8ebN1oYCUlBT89ttvCAkJsUk6S9PDvj8uXLiAN954A61bt8aNGzdw7Ngx1KxZE2PHjrUe8+yzz2L16tXYunUrEhMTERISgujoaCQlJaFWrVrFTrwq6Wttqan/9ddf4eXlhU6dOhXaYqpHjx74/fffcejQIbzyyiuIjIyETqfD4cOHkZGRgbfffrvEXSjskZmZaTO5Ua/XIyUlBadPn0ZycjIaNmyIjz/+2OYxgwYNwsmTJ7F9+3ZcvHgRLVq0gEajwaFDh5CVlYVJkybZdNuwV9++fbFr1y4sXboUZ86cQXh4ONLS0vDzzz9DoVBg+PDhRT62atWqcHNzw/nz57FgwQK0bNnSZlGLnj17Yv/+/cjJyanQAwZUtpjYUqUlkUgwefJkdOvWDd999x1iY2Pxxx9/QCqVok6dOhg8eDBeeumlApM9+vXrh1q1auHLL7/EkSNHYDQaERYWhgkTJuCll16y6QNZEVWpUgXr1q3Dhg0b8Ntvv2Hbtm3w8fFB69atMXToUDRq1Mjm+JkzZ6Jhw4bYtWsXvv/+ewQHB2PWrFk4duxYidoXDR8+HG3btsW3336LP//8ExcuXIDRaEStWrXw1ltvYcCAATYjNtWqVcOyZcuwbNkynD17FqdOnUJAQAD69u2LYcOGYciQIThz5ox1Bv64ceMQGhqKnTt3Yu/evdDr9QgLC8PkyZPRp0+fhzr/Tp06YcmSJfjyyy+tralq1KiBIUOGYPDgwcV2RnB3d8eSJUuwdOlSnD9/HufPn0dAQAC6dOmC4cOHY8aMGTh//jxSU1MfKuGwnO8333yDXbt2wd/fHx9++CHu3btX7ASiR/Uw749FixZh3bp12LFjB7y9vfHyyy9j5MiRNi3rqlatihUrVmD58uU4efIkoqOj0apVK8yePRv//e9/bbpC3K+kr3VAQADeeecdbN261brAQGGJrSAImDlzJlq0aIFdu3Zh9+7dcHNzw+OPP45XX321wAIDpUWtVttcQ6lUCi8vL9StWxdDhgxBnz59CvzccnNzw9KlS7FlyxYcOHAA33//PTw9PdGwYUO88cYbD1wgpSje3t5YuXIlNmzYgJMnT+Ls2bNwd3dHy5YtMXz4cJsevveTyWT46KOPsHLlSnz33XfQaDQ2iW3Lli3h4+MDqVT60PFR5SOkpaWVzjRMIiKiErAsJX3gwAGbJJYIMJf0WJaLfu+995wdDlUQFXtoiYiIiFzS2rVrIYqizR0VogdhKQIRERGVC3q9HoMGDUJmZiaSk5PRvXv3Mu8sQRUbR2yJiIioXJDL5VAoFMjIyECXLl0eqgcuVW6ssSUiIiIil8ARWyIiIiJyCUxsiYiIiMglMLElIiIiIpfAxLYMxMbGOjsEKgW8jq6B19E18Dq6Bl5H11CerqPTEludToeBAwfi1KlT1m23bt3C2LFj0bFjR/Tv3x/Hjx+3eUx0dDReffVVdOjQAaNGjSqwLOQ333yDXr16oXPnzpgxYwY0Gk2ZnAsREREROZ9TEtucnBxMnToVV69etW4TRRHjx4+Hj48PNmzYgJ49e2LSpEnWJTmTkpIwfvx49OjRAxs3boSfnx/Gjx8Pk8kEwLym98qVKzFx4kQsX74cf/31FxYtWuSM0yMiIiIiJyjzxPbq1asYNmwYEhISbLZHR0cjPj4ekydPRp06dTB48GA0adIEP/zwAwBg586dCA8Px6BBg1CnTh1MmzYNycnJiI6OBgBs3boV/fv3R8eOHdGwYUN89NFH2LNnD7Kzs8v6FImIiIjICco8sT1//jxat26NdevW2Wy/fPky6tevD09PT+u2pk2b4tKlS9b9zZs3t+5TKpVo0KABLl26BKPRiL///ttmf0REBIxGI/755x8HnxERERERlQdlvqTuiy++WOj2lJQUVKtWzWabr68vkpOTrfv9/f0L3Z+ZmYmcnBybx8tkMvj4+FgfX5iyLHYuT4XV9PB4HV0Dr6Nr4HV0DbyOrqGsrmN4eHix+8s8sS2KVquFXC632aZQKKDX6637FQqFzX65XA6dToecnBzr5/fvtzy+MA96cUpLbGxsmX0tchxeR9fA6+gaeB1dA6+jayhP17HctPtyc3MrkITqdDoolUoA5iRXp9PZ7Nfr9VAqldaE9/7H6/V6uLm5OTBqIiIiIiovyk1iW61aNaSmptpsu3v3Lvz8/AAA1atXL7A/NTUV/v7+8PHxgZubm81+g8GA9PT0AuULRERE5FwHEzTove8O+pxWove+OziY4HrtOS3n2OTb2y57juVRuUlsIyIiEBMTY9N79vz584iIiLDuv3DhgnWfVqtFTEwMIiIiIJFI8Pjjj+P8+fPW/ZcuXYJUKkWDBg3K7ByIiIioeAcTNJhwIh1JGiO8ZSKSNEZMOJHuUolf/nOsqhBc8hzLq3KT2LZo0QI1atTA9OnTceXKFWzcuBGXL1/GCy+8AADo3bs3/vzzT6xbtw5Xr17FzJkzERAQgJYtWwIAXn75ZXz11Vf49ddf8ddff2HevHno3bs3PDw8nHhWRERElN/iS2ooJICHTAJBMH9USMzbXYXtOQoueY7lVbmZPCaVSjF//nzMnDkTgwcPRnBwMObNm4egoCAAQFBQEObOnYuFCxdi/fr1iIiIwPz58yGRmHPzp59+Grdu3cLcuXOh0+nQuXNnvPvuu848JSIiIrpPnNo8ipmfu1RAnNropIhKX2U4x/LKqYlt/uV0ASAkJASrVq0q8vjIyEhERkYWuX/w4MEYPHhwqcVHREREpStUJUWSxggPWV7ipzGKCFVJnRhV6aoM51helZtSBCIiInJ94xqroDMB2QYTRNH8UWcyb3cVtucouuQ5lldMbImIiKjMdK/pjs/b+CDAXYoMg4AAdyk+b+OD7jXdnR1aqcl/jvd0okueY3lVbmpsiYiIqHLoXtMd3Wu65zb2D3F2OA5hOUcqWxyxJSIiIiKXwMSWiIiIiFwCE1siIiIicglMbImIiIjIJTCxJSIiIiKXwMSWiIiIiFwCE1siIiIicglMbImIiIjIJTCxJSIiIiKXwMSWiIiIiFwCE1siIiIicglMbImIiIjIJTCxJSIiIiKXwMSWiIiIiFwCE1uiBziYoEHvfXfQ57QSvffdwcEEjbNDIiIiokIwsSUqxsEEDSacSEeSxghvmYgkjRETTqQzuSUiIiqHmNgSFWPxJTUUEsBDJoEgmD8qJObtREREVL4wsSUqRpzaCHepYLPNXSogTm10UkRERERUFJm9B167dg3R0dFITEyEWq1GlSpVUKNGDbRp0wbBwcGOjJHIaUJVUiRpjPCQ5SW3GqOIUJXUiVERERE5n8YgIttggkkoP+OkD0xsf/75Z2zcuBExMTEQRRFeXl5QKpXIzMyEVquFIAho0KABhg0bhk6dOpVFzERlZlxjFSacSAcMJkhEINtggs5k3k5ERFTZWJJZtV6E3iSaN4rOjSm/IhPb27dv49NPP8XVq1fx1FNPYcyYMWjYsCFUqrxf6BkZGTh37hyOHz+OTz/9FPXq1cP06dMRFBRUJsETOVr3mu74vI25pvbKPQF1vaQY11iF7jXdnR0aERGRwxlNIjRGEdl680drMltOCWlpaYVG2Lt3b7zyyit4+eWXoVAoHvhE2dnZ2LZtG7Zv347du3eXeqAVWWxsLMLDw50dBj0iXkfXwOvoGngdXQOvY/mkMYjQGEzIMojIMT44kTUmx6NBeN0yiOzBihyx3bhxI3x9fe1+Ig8PDwwZMgS9e/culcCIiIiIyPFEUUS2QUSW3vzRIJbvUdniFJnYliSpzc/Pz++hgyEiIiIixzPdl8waK3Aym1+Rie0PP/xQoid6/vnnHzkYIiIiInIMgykvmdUYRJjK06yvUlJkYjtr1iybzwXB3O5IzJfRW7YBTGyJiIiIyhu9yTzxS603QWNHvWxFV2Riu3PnTuv/r169iilTpmDQoEF45plnUK1aNaSlpeG3335DVFQUZsyYURaxEhEREdED6IzmkdlMvcmuyV+upMjENjAw0Pr/KVOm4PXXX8ewYcOs26pXr47+/ftDq9Vi8eLFaNOmjWMjJSIiIqJCGU0i1HoR6ToTdOW8JZcj2bVURGxsLBo1alTovrp16+LGjRulGhQRERERPViW3oTb2UbEZRpxR2us1EktYGdiGxQUhMOHDxe6b//+/QgNDS3VoIiIiIiocAaTiHtaI+IyDbiVbYRab3LJiWAP44FL6gLAa6+9hlmzZuHu3bvo1KkTqlatitTUVBw4cADR0dGYPXu2o+MkIiIiqrREUUSWQUSmTkSWweTscMotuxLb559/HgaDAWvXrrUZuQ0MDMTMmTPx1FNPOSxAIiIiosoqxygiS29Cpr78L2dbHtiV2ALAiy++iBdffBFxcXFIT09H1apVERIS4sjYiIiIiCoVvUnMXdLW/K8irwLmDHYntgCg0+lw9+5d3LlzB2FhYUhKSkJAQICjYiMiIiJyWaIoIsdoHpXNMYrQGDkq+6jsTmy/++47rFixApmZmRAEARs2bMDy5csBAPPmzYNSqXRYkEREREQVnSiak1eNQYTWYE5qOemrdNnVFWHPnj2YN28eunbtioULF1pXH+vZsycuXLiANWvWODRIIiIioorIJJpX/UrKNuJ6phGJWUbcyzGvAsaktvTZNWL75Zdf4qWXXsLEiRNhNBqt25955hkkJyfju+++w9ixYx0WJBEREVFFocsdlc3OrZNlAlt27BqxTUhIQIcOHQrd16BBA6SmppZqUEREREQVhXnVLxOSs829ZePVBtzRGpFlYH/ZsmZXYuvr64vY2NhC9127dg2+vr6lGhQRERFReWY0icjQmXAry7zq1+1sIzL0Jk7+cjK7Etunn34a69atw/79+6HRaAAAgiDg0qVLWL9+Pbp161ZqAWVkZODjjz9Gt27d0LNnTyxdutRa/nDr1i2MHTsWHTt2RP/+/XH8+HGbx0ZHR+PVV19Fhw4dMGrUKC71S0RERKXGaBKRmS+ZTdZwVLa8sSuxfeutt9C8eXN88skn1iR25MiRGDFiBGrXro2RI0eWWkDz5s1DcnIyVq1ahenTp2PPnj346quvIIoixo8fDx8fH2zYsAE9e/bEpEmTcPPmTQBAUlISxo8fjx49emDjxo3w8/PD+PHjYTJxdQ4iIiJ6OPePzCYxmS3X7Jo8JpfLsXDhQpw6dQqnT59Geno6VCoVnnjiCURGRkIQhFIL6NixY/jkk09Qt25dAOYJatHR0XjssccQHx+P1atXw9PTE3Xq1MGpU6fwww8/YPTo0di5cyfCw8MxaNAgAMC0adPw7LPPIjo6Gq1atSq1+IiIiMi15RjN7bjUenP3Aqo4SrRAQ6tWrRyeJPr4+GD//v1o06YNMjMz8ccff6Bz5864fPky6tevD09PT+uxTZs2xfnz5wEAly9fRvPmza37lEolGjRogEuXLjGxJSIiokIZTCK0RtHayUBnAoxc7avCsjuxPXjwIC5evIiMjIwC+wRBwKeffloqAU2aNAmffPIJOnfuDJPJhCeffBIjRozAwoULUa1aNZtjfX19kZycDABISUmBv79/kfuJiIio8rKs8qUzmZNYncnclotL1roWuxLbZcuWYdOmTfDw8IC3t3eB/aVZinDjxg00aNAAb775JrKysvD5559j8eLF0Gq1kMvlNscqFAro9XoAgFarhUKhsNkvl8uh0+mK/FpFdXpwhLL8WuQ4vI6ugdfRNfA6ugZHXUcRAvSiAJ0IaI0CtEaRI7EOIACo6S6U2fsxPDy82P12JbZ79uxB7969MWXKlFJNYu+XkJCAhQsXYufOnQgICAAATJkyBWPHjkWfPn2QlZVlc7xOp7Mu5atQKAoksXq9Hj4+PkV+vQe9OKUlNja2zL4WOQ6vo2vgdXQNvI6uoTSvo0k0L4iQk1tSkGMUIQHgBsCrVL4CFcWYHF9u3o92JbYajQZdu3Z1aFILAH///Tc8PDysSS0APPbYYzAajfD398eVK1dsjr979y78/PwAANWrVy+wUERqaqp1EhoRERG5jvyJbLbBXF7A8Viyq91Xu3btEB0d7ehYUK1aNWRmZiIpKcm67fr16wCA0NBQxMTEWPvoAsD58+cREREBAIiIiMCFCxes+7RaLWJiYqz7yTEOJmjQe98dNPn2Nnrvu4ODCZoHP4iIiKiERFFEtsGEu1ojEtQGXMsw4Ha2EfdyTMhhUku57Bqx/fDDDzFq1CgkJSWhcePGcHd3L3DM888//8jBREREoH79+pgxYwbee+89aLVafPbZZ3j22WfRpUsXREVFYfr06RgxYgSOHj2Ky5cvY+rUqQCA3r17Y/PmzVi3bh06d+6MdevWISAgAC1btnzkuKhwBxM0mHAiHQoJUFUhIEljxIQT6fi8DdC9ZsHvESIiopIwiSKy9CLUenN5AXvH0oPYldgePnwY8fHxuH79Og4ePFhgvyAIpZLYymQyLFy4EAsWLMDbb78NuVyOLl26YMyYMZBKpZg/fz5mzpyJwYMHIzg4GPPmzUNQUBAAICgoCHPnzsXChQuxfv16REREYP78+ZBI7BqUpoew+JIaCgngITO/xh4yATCYsPiSmoktERE9FDG3xECtNye1TGapJOxKbNetW4cnnngCb731VoGWWqWtWrVq+OyzzwrdFxISglWrVhX52MjISERGRjoqNLpPnNqIqgrbumt3qYA4tdFJERERUUWlMYjI0pug1rMFFz08uxLbtLQ0/Oc//0Hjxo0dHQ9VIKEqKZI0RvNIbS6NUUSoSurEqIiIqKIwQIK7WiMy9SL0Jiaz9Ojsuk/fuHFj9gukAsY1VkFnArINJmtRv85k3k5ERFQYrUHEXa0R8ZkGJGpE3M0xMamlUmPXiO2QIUMwbdo03Lt3D02aNIGHh0eB1l+cpFX5dK/pjs/bmGtt49RGhKqkGNdYxfpaIiKysrTlytabP+YvM2A6S6XNrsR2zJgxAIAtW7Zgy5Yt1u2CIEAURQiCgBMnTjgmQirXutd0ZyJLREQ29CZzIptlEKFlNwMqQ3YltitWrHB0HERERFSBaQzmkrQsvQgdSwvISexKbL///nu8+OKLaNGihaPjISIiogqguBIDImexa/LYkSNHoNPpHB0LERERlWN6k4j0HBNuZRlxPcOI29lGZOhNTGqp3LArsW3evDmOHDkCk8nk6HiIiIioHLF0MbihNiAu04A7WiOyDCbWzVK5ZFcpQp06dfDtt9/iyJEjqF27Nnx9fW32C4KATz/91BHxERERURmylBiYa2bZX/ZhHbudg00x2UjMNiLIQ4pB9T3Qroabs8NyeXYltr/88gv8/PwAAPHx8YiPj7fZf3/rLyIiIqo4coyideWvHCM4GvuIjt3OwbwLmZALgI9cQKrWiHkXMjERYHLrYHYltrt27XJ0HERERFRG9CZzImv5xxrZ0rUpJhtyAVDKzBWfSpkAGEzYFJPNxNbB7EpsiYiIqOISLR0MWF5QJhKzjfCR297NVkoFJGYbnRRR5VFkYtu7d2/MmzcPjz/+OHr16lVsuYEgCPjhhx8cEiARERGVnKVWNiu3HZeRo7JlJshDilSt0TxSm0trFBHkIXViVJVDkYlty5Yt4eXlZf0/62iJiIjKN6PJnMSq9eYSA9bKOseg+h6YdyETMJiglArQGkXoRfN2cqwiE1u5XA6j0Txk/tZbb8HPzw9yubzMAiMiIqIHM5jyRmWzDUxly4N2NdwwEWBXBCcoMrHdu3cvnnnmGYSGhuKFF17A6tWr0aRJk7KMjYiIiAqhz01ms/QmaIxMZcujdjXcmMg6QZGJrY+PDzZt2oQbN25AFEUcPXoU169fL/KJnn/+eUfER0RERDC35MrWm6A2iMhhMktUqCIT2zfeeAMLFy7EH3/8AUEQsHHjxiKfRBAEJrZERESlTJNbXqDWs5MBkT2KTGwHDBiAnj17IjMzEy+88ALmzJmDxx57rCxjIyIiqlTyt+XK0rO/LFFJFdvHVqVSQaVSYdq0aWjevDmqVKlSRmERERFVDgZTXiLLTgZEj8auBRp69eoFtVqNX3/9FVqtFiaTqcAxPXv2LPXgiIiIXI0oitAYRWhzR2a1rJclKjV2JbYnT57ERx99BI1GA7GQ2yKCIDCxJSIiKoRJNI/E5hgtH8FRWSIHsSuxXbZsGQIDA/H+++8jICAAEonE0XERERFVSHqTOYnVGswjszqjyDSWqIzYldheu3YNs2fPRsuWLR0dDxERUYUiiiKyDGJuBwN2LyByJrsSW39/f+h0OkfHQkREVCHoTSKyc1f74oQvovLDrsS2f//+2LhxI1q3bg2VSuXomIiIiMoFQ25ZgcFkXiBBbxKhMwFGtuEiKpfsSmyvXr2KxMREPPfccwgLC4NSqbTZLwgCVq1a5ZAAiYiIHE0UzZO6dCZzTaw5iQX7yBJVMHYltgkJCQgPD3d0LERERGVGZ8yri2U5AZFrsCuxXbFihaPjICIiciiDyZzAao2c5EXkquxKbC2uXLmCM2fOIDMzE1WrVkXTpk1Rt25dR8VGRET00PSm3JZbuW23mMgSuT67EluTyYTZs2dj9+7dNgs0CIKAZ555Bp9++ikEQXBYkERERA8iinllBdkGETomskSVjl2J7Zdffok9e/bgzTffRM+ePeHn54c7d+5g3759WLt2LcLDw/H66687OlYiIiIA5oEVfb6OBRrWyRIR7Exsf/jhB7z++ut48803rduCg4Px5ptvIicnx7qfiIjIESwreWmN5pHYGxoByDQ4OyyiSkUURSRrTLiuNuJ6pgHXM40YWNcdNZ0dWD52JbbJyclo0aJFoftatGiBr7/+ulSDIiKiyk2fO9HL8u/+tlvsI0vkODlGETfURlxXm5PXuNwk9nqmERqj7XuvqZ8cNd2cFGgh7EpsAwMDERMTg7Zt2xbYFxMTg6pVq5Z6YEREVDmYxNyRWCOgtfaQZeJK5GhpOSbryKslib2eaURilhEmO58jLtMAVLTE9plnnsH69esREBCAbt26QSaTwWAw4ODBg1i/fj1efPFFR8dJREQuIic3ebWUFuhNIitjiRzEKIq4lWXMTV7zSgiuZxqQpnv0d971TCPgXwqBlhK7Ets33ngD586dwyeffILp06fD29sbGRkZMJlMeOKJJ/DWW285Ok4iIqqADCbLaKy5pIDL0RI5RrbBhPhMI67lJq2WJDZebYTe3uHXh3BdbXTckz8EuxJbhUKBpUuX4vjx4zh79iwyMjLg7e2NFi1aIDIy0tExEhFRBWApKcgxiNAazSOzXJKWqPSIoog7WhPi7kter2cakaRxYPZajPhMA4zl6G1eogUaIiMjrYlsZmYmvLy8HBIUERGVf5YFEHKM5gUQdEaWFBCVBr3JPHnrWr6ygbjcUoJsg3PfZW5SIFQlQ5iXFLW9zB9FUevUmPIrNrG9d+8eFi9ejMceewwDBgywbtdoNOjVqxc6deqECRMmMMElIqoE8tfFajnBi+iRpetM1sTVmsCqjbiZZXT6KKifmwRhXlKE5SavYV5ShKpkqOEhgeS+RbmMyU4KshBFJraZmZkYNWoUEhISUK9ePZt9OTk56NatGw4cOIB///0XUVFR8PDwcHiwRERUNgy5ix/ojCwrIHoURlHE7WyTdfQ1Ll8Xgns5zn1PSQUgRCVFmCp/AitDqEoKL4XEqbE9rCIT26+++gp3797F+vXrUb9+fZt9VapUwbRp0/Diiy9izJgx2Lp1K4YPH+7wYImIqPQZ803w0hoBnYmjsUQlpTGIiLu/76vaiPhMA3KcU/5qpZILCFXllQ5YktianlLIJMKDn6ACKTKx/eWXX/D6668XSGrza9SoEfr164eff/65VBJbg8GAJUuWYO/evRBFEd26dcMHH3wAhUKBW7duYfbs2bhw4QJq1KiB9957z2biWnR0NBYsWIAbN26gUaNGmDJlCkJCQh45JiIiVyKKInJyR2BZUkBUMqIoIjXn/vIB8/9vO2nyVn6BHhKEqmSo7SVFaL4SAj83CQTBtRLYohSZ2N66dQuPP/74A5+gWbNm2LZtW6kEs3jxYhw+fBjz58+HIAiYNm0a1q5di1GjRmH8+PGoXbs2NmzYgN9//x2TJk3C119/jeDgYCQlJWH8+PEYNmwY2rdvj7Vr12L8+PHYunUrJJKKOZRORFQaRNE8sSvHIEJjBLQGESZO8SIqlsEkIiHLWKD+9braCLXeyZO3JECt3HKB2vlGX0NVMihllSN5LU6Ria2npyfUavUDn0Cv10OpVD5yIJmZmfjuu++wYMECNG3aFAAwYsQIHDx4ENHR0YiPj8fq1avh6emJOnXq4NSpU/jhhx8wevRo7Ny5E+Hh4Rg0aBAAYNq0aXj22WcRHR2NVq1aPXJsREQVhaXlljZ3KdocI5jIEhUhU2cqsGjB9UwjEsrB5C1fN8Fa75q//rWGhwTSSjL6+jCKTGwfe+wxHDt2DF26dCn2CY4dO1Yqt/zPnz8PNzc3m0S0V69e6NWrl7XO19PT07qvadOmOH/+PADg8uXLaN68uXWfUqlEgwYNcOnSJSa2ROTSdEYROlPeSl5MZIlsmUQRSRrz0rHX8iWvcZlGpDq5+FUqAMGe0ry619wkNtRLCp8KOnnL2YpMbJ9//nlMmTIF7du3x1NPPVXoMb/++it2796NiRMnPnIgN2/eRGBgIH766SesX78eGo0GXbt2xdtvv42UlBRUq1bN5nhfX18kJ5v7S6SkpMDf37/I/UREFZ3BJEJvMn/U5faP5SpeRHm0RhHx1kUL8iWwagNynLw4lqdMsJm0ZZnIVVMlhdzFJm85W5GJ7VNPPYWnn34akydPRmRkJNq3b4+goCCYTCYkJibi2LFj+OOPP9CuXTv06dPnkQPJyspCYmIitm3bhsmTJyM7Oxtz586F0WiEVquFXC63OV6hUECv1wMAtFotFAqFzX65XA6dTlfs14yNjX3kuO1Vll+LHIfX0TWU5+soQoBeFKATAb1JgM5kbtZuggjmsLaux8U5OwQqBSW5jqIIpBuARK0EN7UCEnI/JmoF3NEJEOHcJNFfbkKQUkSwUkSw0oRgpYia7iZUkQE21QMGAPeAm/ecFWnpEQDUdBfK7OdqeHh4sfuLXaDh008/Rb169bB582YcO3bMOqNOFEX4+vrinXfewSuvvFIqM+1kMhmysrIwY8YM1KxZEwAwbtw4fPrpp+jZsyeysrJsjtfpdNbaXoVCUSCJ1ev18PHxKfZrPujFKS2xsbFl9rXIcXgdXUN5uo6imNte674OBW4A3JwdXDl3PS4OYaGhzg6DHlFR19FgEnEzd/LWNeuqW+YR2EwnT95SSIBahfR9DfWSwkNWOcsHjMnx5ebn6gOX1H399dfxyiuv4O+//0ZSUhKkUikCAwNRv379Um0d4e/vD6lUak1qASA0NBQ5OTnw8/PDlStXbI6/e/cu/Pz8AADVq1dHamqqzf7U1FTUrVu31OIjInoUomguJcgx5i1Bq2c9LFVyWUbg8l29zZKx1zMNuKE2wskrx8JHIRTo+xrmJUMgJ2+Vaw9MbAFAKpUiIiICERERDgukcePGMBqN+Pfff60rnV27dg2enp5o3LgxNm/eDI1GA3d3dwDmyWaWeCIiInDu3Dnrc2m1WsTExGDYsGEOi5eI6H6iKMIkAkbRvMiBITeR1ZmYxFLlZRJFJOdO3rL2fc0dfU3RugNw3v14CYAgz7y2WaG5fV/DVDJUcauco68VnV2JbVmoVasWOnbsiBkzZmDy5MnQarVYunQp+vTpg5YtW6JGjRqYPn06RowYgaNHj+Ly5cuYOnUqAKB3797YvHkz1q1bh86dO2PdunUICAhAy5YtnXxWROQKjCbzRC2DKMKUO2HLYDInsIbcZNb8T2TqSpVWjlHEjXyts67lm7yldfLkLQ+ZkNs2y3b0NcRTCoWUo6+uREhLSys3P4ezsrKwYMEC/PLLL5BKpejZsyfGjh0LmUyGGzduYObMmfjzzz8RHByM999/H23atLE+9vjx41i4cCFu376NiIgITJkyxaaswZnKU00fPTxeR9dQ3HU05nYe0Od2HtDlrtBl4Kytcoc1ts4hiiLSdGKBvq/X1QYkZjn/nkR1pcTcdSA3ebWUElRTVp6Vt5zBmByPBuHlo/yzXCW2rooJkWvgdaz4RFHE//17FTVDa5vLA0zmZNYgAkYTSwUqEia2jmUwibiVbbSWDuQffU3XOfd9IpcAISpzuUBovuQ1VCWFp5zlA85QnhLbclOKQERUWqwjr6IIo8ncdSAnt871pkaEXOPk+6JE5USW3oS4+/q+XlebJ2/pnbt2AXwUAkJVuUlrbgJb20uKQA8pZOz9SkUoUWKbnp6OixcvIjMzE1WrVkXjxo2hUqkcFRsRuRjLIgNGyyQrkwhj7mQrS42qCeb/I99HANbulPnvJt6/Tcx9Li5aQJRHFEXc0ZpsR15zPyZrnZu9ChAR5GkefbWUENTOTWI5eYsehl2JrdFoxMqVK7Ft2zZotVrrdjc3NwwePBjDhw93WIBEVLGYxLw6VUPuaKneVIqrZDFnJSqUzijiRpbRpv7V0kIr28m9s5RS5E3aypfEindvon5tlpRQ6bErsY2KisLmzZvRr18/dOnSBVWrVkVqaip++uknREVFQaVSYcCAAY6OlYgczJRvtn9ho6qWX42C5V/uSKlRNCeyxtzklbknkeOk5Zis7bLi8pUQ3MwywsnVA6iWO3nL2jorN4mt7i6BpJDJW9fTyj5Gcm12JbY//vgjBg8ejFGjRlm3hYaGokWLFnB3d8fWrVuZ2BKVY3qTedTUKMLarsooIjeJzU1cOXmKqNwwiiJuZef1fo3LV/96L8e571OpkG/lrdwVtyyjsSpO3iInsyuxTU9PR5MmTQrd17ZtW3z33XelGhRRZZC/mb8pd4RUEAAJBEgl5sbhEgFFtqgRc0dGxdyRVMv/DaJ5kpS5XZWIHC4MQFRuZRtMuaOuuSOvanMSG682Qufk4VcvuWDb9zV39DXYk5O3qPyyK7Ft3bo1fvrpJ0RGRhbYd/z4cTRv3rzUAyMqbwRBgJg7umnKl4yaYB4FBfJu1VuTTlhGQgGTSYQRKFEzf/MtfyH3uQs/mikrUfkmiiJScidvWZJXy0hsksbZk7eAQA+JufuAd17yWttLhqpuAnu/UoVTZGL7ww8/WP/fsGFDrF27FmlpaejevTv8/PyQkZGB33//HUePHsX7779fJsESFcaSbFrqQi23202i7Yx7S5N9y/yl/AmhAPPoqATmBFYQzMdZnkMEcEMjQMgwlGkiaU6OmboSVQR6k4gEdd6SsdfyTeDKcvLkLTcp8lpnqaSo7W0uI6ilkkEpY/JKrqPIxHbWrFkFtp04cQInTpwosP2zzz5Dnz59SjcyqtTuv82ef3KSPt/qUEaHLGNa+LNxUhQRAUCGrvDR15tZRhid/EPCz01i0/fVUkoQUMTkLSJXU2Riu3PnzjIMw9WVzQ8TU27Npgjb/p/2KkmUJtFct2kSLSOblgQ0r27UUu8piubZ85aZ9AAgEQRrz1Jrjaj1efKCZyJJRM5gEkXczjZZ+75ezzTkLmRgwN1yMHnLvPJWXv1raO5ELi8FJ29R5VZkYhsYGFiWcbg0rSjgaroBMgmgkApQSAC5RIBcIphvf1v/5aWWltvrBpNtsmgULS2VzEmjKXc2uyUZrDiJYMWJlIhcl8YgIk5tyGubpTa30IrLNCDHyZO3VHLBXDaQb+Q1VCVFiIqTt4iKYvfKYxcvXsSZM2eg1+sh5hYpmkwmaDQanD9/Hps2bXJYkK7ABHODel0RQ6n5RzIBR9xeJyKqnERRRGqOpXzAtnXWrWxnd34FarhL8pUOWJJYKfzcJJy8RVRCdiW227Ztw4IFC6wJbX4SiQRt27Yt9cAqG8sry6VAiYgejsEkIiErX+usfKOwar2TJ29JgFDrogV5CxiEqmRw5+QtolJjV2K7fft2tG7dGjNmzMCXX36JzMxMvP/++zh27BhmzJiBp59+2tFxEhE9kmO3c7ApJhs30t0QEncPg+p7oF0NN2eHRQ8hU2dCTJaAy3Eaa/J6LdOIhHIwecvXTbB2HwjLV0JQw0MCKUdfiRzOrsQ2MTERY8eOhY+PDxo2bIhVq1ZBqVSia9euuHbtGrZt24YePXo4OlYioody7HYO5l3IhFwAVDIRqVoj5l3IxESAyW05ZRJFJGlM+UZe80ZhU3NMAJQAMp0SmwRATZW5bZYlea2dOwLrw8lbRE5lV2Irl8vh5mb+4R8SEoIbN27AYDBAJpOhSZMm+Prrrx0aJBHRo9gUkw25AChlEuhM5o8wmLApJpuJrZNpjSLirW2z8pLXOLUBOUbnxuYpE3LLBWwncNX0lEIh5egrUXlkV2Jbv359HD58GK1atUKtWrUAAJcvX0azZs2QnJzs0ACJiB5VYrYRPnLbREQpFZCY7eTMqZIQRRH3ckRcVxtsk9dMAxKznb/gc0Du5K0wlQy185UQ+Cs5eYuoorErsX3llVcwadIkZGZmYsaMGejcuTM+/vhjdOrUCQcOHECzZs0cHCYR0cML8pAiVWu0WWFJaxQR5CF1YlSux2AScTMrb+Wt/B0IMpw8eUsuAWqp8lpmWUZga6mk8JSzfIDIVdiV2Hbu3BlffPEFrl69CgCYNGkSpk6dil27dqFRo0YYP368Q4MkInoUg+p7YN6FTMBggkQEtAYT9KJ5uyuxTJBLzDYiyEPqsAlyar3J3PdVbbBpoRWvNsLJK8fCRyEU6Pta20uKQE8pJ28RVQJCWlqas+8CubxLMVfgHlDL2WHQI7oeF4ew0FBnh0EPKa8rQg5CfNxcritC/glySqkArVGEXgQmNvV6qPMUrZO3zAlsXL4Sgjta5/Z+lQCo7mZCeFWltYTA0ge2ihtHXysS/lx1DcbkeDQIr+vsMACUYIGGouzfvx9btmzBl19+WRrxEBE5RLsabmhXwy33F2kNZ4dT6vJPkANgLruwY4JcjlHEDXW+vq/WEgIjNE7uneUuFayLFYTm6z4Q4ilFYkK8S15HIno0j5zYpqWlITY2tjRiISKih/SgCXJpOaYCyev1TCMSs4xw9tpb1ZW5k7fylRCEqaSo7s7JW0RUMo+c2BIRkfMFeUiRojFAKpFAZxKRYwQ0BhNECOi6+w7Sdc4dfZUJ5slboblJa5h3bu9XTt4iolLExJaIqILJNpgnb13LV/d6M8uI2xoRwP0tzMo2ofWWCwVW3QrzkiLIQwqZhKOvRORYTGyJiMohURRxR2uy6ftqmcSVpHFu8YAAIMhDYlP3ap28pRBYPkBETsPElojIiXRGETey8iWvmbkdCNRGZDu5d5ZSCoSqZNbJW5bFC0JUUii58hYRlUNFJra9evWy66/u7OzsUg2IiMgVpeWYbDoO5C8hcPbkLX+lxFw2YE1izaOv1d0lkHD0lYgqkCIT25YtW/J2EhFRCRhFEbeyTTZLxlrqYNOcPHlLKtiuvJW//lXFyVtE5CKKTGw/+eSTsoyDiKjC0BhExN23ZOx1tRHxmQbkOHn4VSUXzCUDuYsWWJLXmp6cvEVErq/IxPbff/9FvXr1SvyEsbGxCA8Pf6SgiIicTRRFpGpNeZ0H1HklBLfLweStQA+JefT1vhICPzf2fiWiyqvIxHbChAlo27Ythg4dimrVqj3wiW7evIkNGzYgOjoaO3bsKNUgiYgcRW8SkaA23rdwgfljlpMnb7nlm7xlGXkNVUkRqpKZVxYjIiIbRSa2mzdvxoIFC/D888+jRYsW6NatGxo2bIjAwEC4u7sjMzMTSUlJuHDhAo4dO4bo6Gg888wzXFqXiMqlDJ0JcWojolOkUGeqcT23/vVmlhFOXjkWfm7mlbdCVVLU9s5dwMBLhhoenLxFRFQSRSa2np6emDZtGvr374/169dj/vz5MBrvb/wNuLm5oX379ti4cSPq16/v0GCJiIpjEkXctkzeUhvzTeIyItVa/KoAUPbdXKQCUNMzb9KWJYkNVUnhreDkLSKi0vDAPrYNGjTAnDlzkJ2djfPnzyMxMRFqtRpVqlRBYGAgmjVrBjc3t7KIlYgIAKDNN3krf/1rnNqAnIJ/f5cpT5lgbZdVO18JQbCnFHJO3iIicii7F2jw8PBAZGSkI2MhIrISRRF3c0RryUBcvtW3bmU7u/MrUMNdYlP3aikh8FNy8hYRkbNw5TEiciqDSURClvG+VbfMSWym3rnFrwoJzMvGqqQ2rbNCVTK4c/IWEVG5w8SWiMqEWm+y6ThgKSG4oXb+5K2qbkK+lll5JQQ1PCSQcvSViKjCYGJLRKXGJIpI1pjyJa/m0ddrGfknbzmHBEBNlRTVpTo8Xt3LZhJXFTdO3iIicgVMbImoxLRGETfU942+5k7e0jp58paHTChQOhDmJUOIpxQKqYDrcXEIC1U5N0giInKIh05sU1NTcefOHdSvXx8SCUc7iFyNKIq4lyMWWLQgLtOAxGwTnFw9gAB3CUJVtslrmJcU1Th5i4io0rIrsdVqtVi4cCHq1q2L/v3749dff8XUqVNhNBoRGhqKpUuX2rU6GRGVPwaTiMRsI65l5E3asnQgyHDy5C25BKhlSV7zJbG1VFJ4yvkHNRER2bIrsV22bBn27t2LSZMmAQCWLl2KunXrYsiQIVixYgWWLl2K6dOnOzRQIno0ar3JpuOAJYGNVxvh5JVj4aMQrMlr3spbUgR6Sjl5i4iI7GZXYvvbb79hzJgx6NWrF65evYqEhATMnj0bXbp0gU6nw6JFixwcJhHZQ7RM3lIbcc3SOit39PWO1vmTt4KsK2+ZW2ZZug9w8hYREZUGuxLbe/fuoW7dugCAkydPQiqVonXr1gAAX19fZGeX/vKUM2fOREJCAlauXAkAuHXrFmbPno0LFy6gRo0aeO+992wWjIiOjsaCBQtw48YNNGrUCFOmTEFISEipx0VUHuRYJm/dVzoQpzYi28nDr+5SIS95zVdCEKKSwk3K0VciAo7dzsGmmGzcSHdDSNw9DKrvgXY1uIopPTq7EtuAgADcuHEDTz75JA4fPoxGjRpBpTLPKj5//jwCAgJKNahTp07hhx9+QIsWLQCYR6HGjx+P2rVrY8OGDfj9998xadIkfP311wgODkZSUhLGjx+PYcOGoX379li7di3Gjx+PrVu3cmIbVWhpOaYCk7euZxqRmGWEs9feqqaU2LTMCsvt/1rdnZO3iKhox27nYN6FTMgFQCUTkao1Yt6FTEwEmNzSI7Mrse3RoweWLl2KX3/9FefOncPUqVMBAPPnz8f333+PESNGlFpAGo0Gn332GZo2bWrdFh0djfj4eKxevRqenp6oU6eONfkdPXo0du7cifDwcAwaNAgAMG3aNDz77LOIjo5Gq1atSi02IkcwiiJuWVbeuq+FVprOuaOvMsE8eSvU2nnAXEIQ5iWFipO3iOghbIrJhlwAlDIJdCbzRxhM2BSTzcSWHpldie2IESMgk8lw4cIFvPvuu+jduzcA4P/+7//w+uuvY8iQIaUW0IoVK9CiRQv4+/vjwoULAIDLly+jfv368PT0tB7XtGlTnD9/3rq/efPm1n1KpRINGjTApUuXmNhSuZFtyJ28lW/Vreu5k7f0Th5+9ZYL+dpm5da/eksR5CGFTMLRVyIqPYnZRkghIj7TAJ1RAkWOAb5uAhKzndwEm1yC3X1shw4dWmBbVFRUqQZz8eJF/Pzzz9i6dSu2bNli3Z6SklKgnZivry+Sk5Ot+/39/YvcT1RWRFFEijZv6dhruV0I4jKNSNI4N3sVAAR5SPKNvpo/1vaSoYpCYPkAEZUJTylwLVOERDD/XNKbgFvZImp78WcQPTq7E1uTyYSff/4ZJ06cQEpKCj788ENcunQJERERCA0NfeRAdDodZs2ahffffx/e3t42+7RaLeRyuc02hUIBvV5v3a9QKGz2y+Vy6HS6Yr9mbGzsI8dtHwmux8WV0dciR7JcR70JuJ0j4KZWwE2tBDe1AhJzP2pMzv3h7CYREeQmIlhpQrBSRLBSRJDShECliALNB7KA9Cwg3SmROo+rvh/PpUmwK0mG5BwB1d1E9AkwoHkVZ1djO46rXkdXp9crIEICiIAgmAcERAB6vZ7XtAISANR0F8ospwoPDy92v12JrVqtxvvvv4+LFy/C398fqampyM7Oxp49e/DFF19g5cqVqF+//iMFGhUVhZCQEHTr1q3APjc3N2RlZdls0+l0UCqVAMxJ7v1JrF6vh4+PT7Ff80EvTmm5FHMFYaWQ/FPZS9fljb5evHkXdwVPxKmNuJllhNHJvV/93CT3jbyaa2ED3CWQcPS1SOYldV3v/Xjsdg423DZPyPH1EKA2ithwW47qAV4uWbfoqtexMtD9nYIgDxF3c0TojCIUUgEBbgJ0kCIsNNDZ4dFDMCbHl1lO9SB2L9Bw/fp1rFmzBg0bNkS7du0AALNnz8bYsWOxatUqfPHFF48UyE8//YTU1FR06tQJgDkxNZlM6NSpE4YMGVLgL4G7d+/Cz88PAFC9enWkpqba7E9NTbW2KCPHsbRsScw2IshDWiFbthhFEbeyTTZLxl7PLSG4l5M/e5UDKP4uQGmTCkBNT6m132v+LgReCk7eojz5J+QAgFImcEIOlUtBHlKkao2o5SWFTpcDhcINWoMJAUqps0MrFyQQIJUAEgGQCQKkgvn/5n8CBJhHugUBsKxtLgIQ8/0fMI+k3s+yzzJKLgIwiebHmnKfwySKMIp5x1r2i0UspC5AQHmqjrYrsf31118xevRoNGnSBEZjXvhVqlTBoEGD8Pnnnz9yICtXroTBYLB+vnXrVvz999+YMWMGbt++jQ0bNkCj0cDd3R2Auc1YREQEACAiIgLnzp2zPlar1SImJgbDhg175LioaPlbtvjIhXLfskVjEBGXr+/rtcy8yVs6J9+tVckFhKrM9a75R2FrenLyFtknMdsIH7nt94pSygk5VP4Mqu+BeRcyAYMJEhHQGkzQi+btruj+RFUiADIJIM39v0Qw/9+8DeX6jpso5iW3+edlxCaXn5InuxLbrKwsVK9evdB9Hh4e0Gg0jxxIYKDt7QcvLy+4ubkhJCQEQUFBqFGjBqZPn44RI0bg6NGjuHz5srXtWO/evbF582asW7cOnTt3xrp16xAQEICWLVs+clxUtPI4QiSKIlK1pvvaZpn/f9vJk7cAINBDYl1xK38LLT839n6lR2MZBVPK8r6PtEYRQR4cBaPypV0NN0wEchdoMCDEs+i7fYX9VBRytwpC3v77f3wWtl1SYJ/tg2ye777HF/l5vucSAEgk5q8jFczJbHlPVEuqIvyesiuxrVevHvbu3Yv27dsX2HfkyBGH11VIpVLMnz8fM2fOxODBgxEcHIx58+YhKCgIABAUFIS5c+di4cKFWL9+PSIiIjB//nwuzuBgzhwhMphEJGQZbbsP5CayWU5eectNAoR6yRDqJbWuumVpoZU/6SAqTflHwZRSAVqj6NKjYFQ2LD+xJLmjiwLykjVBMCdxllFHy51xk5j7D3m3tiU2o5NAnzAPvBDmgbi4a6hbO9i6X1pIslpUIkpUGLsS22HDhmHChAkYM2YMOnXqBEEQcPr0aezYsQM//PADZs+eXeqBjR492ubzkJAQrFq1qsjjIyMjbZbYJccrixGiTN39o6/mjwnlYPKWr5tgrXcNzV11q7aXDDU8OHmLyl7+UbCKXPNengkwJ3RSAZBLbEcNBdiO+AEoUJFoSf7y10mKoqU+UoQJefWMlue2fF0UOD5fvSTyEkjTffsk1uRTyPtcKBiLJLdm03y8YHOcI3+euQsmeHKxFypFQlpaml3pwcGDB7FkyRIkJSVZt/n6+uKdd95Br169HBagK7gUcwXuAbWcHUapy19jm3+EaGLTks3CNokikjQmm9KBa5nm3q+pOc4tH5AKQLCnuVygqikLTYJ9UTt3NNaHk7cqJM6mdw2lcR3vH43MP1nHWgMpMW+TScwr8XHUsHTFxsaWm9n09PDK03W0u49t9+7d0b17d8TFxSE9PR0qlQphYWG83V+JlXSESGsQEa+2rLiVN/oapzYgx8nzWzxlgs2krdDcEoIQldQ6MnM9Lh1hoe7ODZSIIMCcbMolgjUZvf+2eP6RSOQbtcwbqXT8aCQRlT27E1sA0Gg01sUYfv31V5w4cQIdOnRASEiIQ4Kj8q9dDTebRNY6eStfy6y43CT2VrapiGYhZaeGu8Rm6VhLKYG/snJP3nKFtm1U/llmfsslAuS5I6FSie2tduvEIBR+K96SvIruIkK9SvQrjIgqAbt+KiQkJOD9999Hly5dMHr0aERFRSEqKgqiKGLVqlVYtmyZtfUWVQ4Gk4iblslbatv610y9c9NXhQSopbLt+xqWWwfrzslbBVS0tm1UPllaGskEQCax3LrP/ZibyJbm6Gj+tkNERBZ2JbZLly6FXq9Hu3btYDQasW3bNjz11FOYNGkSPv30U6xYsQLLli1zdKzkBGp93spbcZlG60SuG2ojnNx8AFUUgrXva2i+JDbQQwJpJR59Lany2LaNyo4EeaOolj6agGXEVLhvNNW8wzJZSpKvHpW39ImoPLArsT1z5gwmTJiAJk2a4MKFC0hPT8fLL7+MKlWq4KWXXsLHH3/s6DjJgUyiiOT7Jm9ZRmFTtM6dvCWBefJWaG7HgVBLCYFKhipurO8uDWzs79oEmEdMFZK8BFYqAeSCeRRVygVAiMiF2JXY5uTkoGrVqgCAEydOwN3dHU2bNgVg7jFbmWsTK5Ico4gb+VtnqQ24lmGevKV1cg7jIRNyywVsSwhCPKVQSPn95Uhs7F8+mfuFmic7WSZJSXNv89u0lsqtO7XUp+afHJXXxonvISKqHOxKbMPCwhAdHY3mzZvj0KFDePLJJyGTmR+6d+9e64QyKh/u5ZgK9H29rjYgMcv5k7eqKyUFSgfCVFJUd6/ck7eciY39y17+UVR57iiqJLcMQGq9vc/3AxFRSdmV2A4aNAjTpk3Dtm3boNVqMXnyZADAkCFD8M8//2DWrFkODZIKMphE3Mo2Iv+SsZb613Sdc9NXuQQIUZnLBSwlBJYWWmzEXf6wsX/psySncoltT9T8HQH4hxwRUemzK7Ht1q0b/P39cfHiRTz55JNo2LAhAKBFixZ466230LZtW4cGWZll6U2Iu6/v63W1efKW3rnlr/BRCNYR1zAvSxIrRaCHlKNNFcz9bdvowaRC3mirQmLpBGD+P+tWiYicw+4mgM2aNUOzZs1sto0bN66046mURMvkrXz1r3G5H5OdPHlLABDkKUGYKq90wDIKW5WTt8jF5e8YoJDmdQ5Q5CaxRERUvtid2F68eBFnzpyBXq+39g80mUzQaDQ4f/48Nm3a5LAgXYXOKCJenddxIM668pYR2U7unaWUIm/SliqvhVYtlRRunLxFLqyweleZBFBIBeuqc0REVDHYldhu27YNCxYsKLQhtkQiYSlCMWLT9Zj0lxzx51ORmGWEk6sH4OcmQW1vab4RWHMCG+AuYR9Kcmmy3NIBH4UAf6XUOvLKelciItdhV2K7fft2tG7dGjNmzMCXX36JzMxMvP/++zh27BhmzJiBp59+2tFxVlgKiYDj96QAyq6fllQwT96qbV1xK6+FloqTt8iFWSZoKfLVvVoma1nqXrOlJvZAJiJyUXYltomJiRg7dix8fHzQsGFDrFq1CkqlEl27dsW1a9ewbds29OjRw9GxVkghKikUEhE6U+mPCHnJBdT2kiJUJUNYvlHYYE9O3iLXJcBS85pXOmBJXvl9T0RUudmV2Mrlcri5mWdMh4SE4MaNGzAYDJDJZGjSpAm+/vprhwZZkUkEAbXcRfyb9XC/cAUAQR4S276vuXWwVd0E3kIllycTBLhJBbjLzBO4lFKBZTNERFQouxLb+vXr4/Dhw2jVqhVq1aoFALh8+TKaNWuG5ORkhwboCsyJbfHHuElhHnnN7fda29tcRlBLJbNZEYrIFUmF/KUDtiUEHIUlIiJ72ZXYvvLKK5g0aRIyMzMxY8YMdO7cGR9//DE6deqEAwcOFGgDRrZC3fMm3fm5SXJrXs0lBLVzR2FreHDyFlUOEghwkwJuUsH6j8smExFVPAcTNFh8SY0r95So++8djGusQvea7k6Nya7EtnPnzvjiiy9w9epVAMCkSZMwdepU7Nq1C40aNcKECRMcGmRF16O6ER3rVkOoSgpvBSetUOUhQV75gCWBZfs4IqKK72CCBhNOpEMhAbxlIpI0Rkw4kY7P28Cpya3dfWzbt2+P9u3bAwB8fHywZMkShwXlaoKUItx95c4Og8ihLOUElgRWITGPzLIOnIjI9Sy+pIZCAnjIJMgxmj/CYMLiS2qnJrYPHD68efMmrly5UmD7smXLEBcX55CgiKh8kwkCPGUSVHWTIMDDXAte21uGYJUM/u7mOxNKGSc3EhG5qji1Ee733YFzlwqIU5dde9PCFJvYfvPNN+jXrx927Nhhsz0xMRFffvklBg4ciJ07dzoyPiIqB9ykAqq6SVDDI7czh7cMgZ5S+Cml8JJLWCNLRFTJhKqk0BhtF+7SGEWEqqROisisyMT21KlTWLBgATp37oxXXnnFZl9QUBB27NiBjh07Ys6cObh48aLDAyWisiMTBHjLJQhwNyeyISoZ/JTmBT7YpYCIiMY1VkFnArINJoii+aPOZN7uTEUmtlu2bEFkZCRmz56N4ODgAvsDAwMxd+5cNG7cGBs2bHBkjETkQBIIcJcKqKIwJ7K1VOYR2eoeUngpmMgSEVFB3Wu64/M2PghwlyLDICDAXYrP2/iU364IMTEx+PDDDx/4BH379sXy5ctLNSgichypIEApFeAhs7Tb4gQvIiIque413dG9pjtiY2MRHh7i7HAAFJPYZmdnw9vb+4FP4O/vj4yMjFINiohKjwTmVbssiSwX/CAiIldVZClCjRo1cO3atQc+QVxcHKpVq1aqQRHRo3GTCvB1kyDIU4ra3lIEekrh4yZhUktERC6tyMS2Q4cO+Pbbb6HVaot8sFarxfbt2/HEE084JDgiKp5MMNfH+igkqKaUItBDitq5k718lVJ4yCQsMyAiokqjyMR24MCBUKvVGDNmDP7+++8C+//66y+MHTsWycnJePXVVx0aJBGZKSTmSV6WBDYst3dsNXfziKynXAIpJ3sREVElVWSNrb+/Pz7//HNMnjwZQ4cORdWqVREUFASTyYRbt24hLS0Nvr6+mDt3LsLCwsowZKLKQy4x18V6yMx1snImrUREREUqdkndxo0b4+uvv8aePXtw/PhxJCUlQSqVIiIiAm3atEGPHj2gUjm3XxmRqxAAKKTm0gLLJC8mskRERPYrNrEFAJVKhQEDBmDAgAFlEQ9RpSGBudWWe263AneZAAnrYYmIiB7aAxNbIiodlkTWQybATWYemeXELiIiotLDxJbIQQQAytyRWCUTWSIiIodjYktUiqSCeaKX5R87FBAREZWdIhPbnJwcuLm5lWUsRBWOpbxAmdu1gKOyREREzlNkH9s+ffrg3LlzAICoqCgkJSWVWVBE5ZEA84IIKrl5MYRgTxlqe0sRrJLBr4IvhnAwQYPe++6gybe30XvfHRxM0Dg7JCIiohIrMrHNyspCRkYGACa2VHnJBAFelkTWXUCYtww1PMyLIbjLXGN09mCCBhNOpCNJY0RVhYAkjRETTqQzuSUiogqnyFKEOnXqYMaMGahTpw5EUcTcuXPh6elZ6LGCIGDVqlUOC5KorEgFAcp8CyIopHmJazJMTozMcRZfUkMhATxk5r9zPWQCYDBh8SU1utd0d3J0RERE9isysf3444+xZs0apKenQxAESCQSSKXSsoyNqEzkJbISKKVwiVHYkohTm0dq83OXCohTG50UERER0cMpMrGtW7cu5syZAwBo3bo1JkyYgCZNmpRZYESOIoF5NNZDJsBTLkBWyTsXhKqkSNIYzSO1uTRGEaEq/iFLREQVi13tvk6ePAkAMJlMuHbtGjIzM1GlShWEhoZWutEtqpikgjmZ9WQbrgLGNVZhwol0wGCCu1SAxihCZzJvJyIiqkjs7mO7d+9eLF68GGlpadZtVapUwTvvvIPevXuXSjAJCQlYsGABLly4AHd3d3Tr1g2jR4+Gm5sbbt26hdmzZ+PChQuoUaMG3nvvPURGRlofGx0djQULFuDGjRto1KgRpkyZgpCQkFKJiyomucScyFpGZ/lHWOG613TH523MtbZxaiNCVVKMa6xifS0REVU4diW2hw8fxvTp0/HEE0/gueeeg5+fH+7cuYN9+/Zh1qxZ8PHxQceOHR8pEL1ejw8//BC1a9dGVFQU7t27h//+978AgHfffRfjx49H7dq1sWHDBvz++++YNGkSvv76awQHByMpKQnjx4/HsGHD0L59e6xduxbjx4/H1q1bIZEU2fjB4Q4maLD4khp31Ep4Ku9hUH0PtKvB3sCOIBUEKCSAQipAISk48YuK172mOxNZIiKq8OxKbNetW4ennnrKWnNr8fzzz+Ojjz7Cxo0bHzmx/fPPP3Hjxg2sX78eHh4eqF27Nt566y0sWrQI7dq1Q3x8PFavXg1PT0/UqVMHp06dwg8//IDRo0dj586dCA8Px6BBgwAA06ZNw7PPPovo6Gi0atXqkeJ6WJYWSgoJ4C0TkaI1Yt6FTEwEmNyWArlEgEouwE1q/idnaQEREVGlZ9dw5tWrV9GzZ89C9/Xs2RP//vvvIwcSGhqKRYsWwcPDw7pNEATo9XpcvnwZ9evXt2k31rRpU1y6dAkAcPnyZTRv3ty6T6lUokGDBtb9zpC/hZIgAEqZBHIB2BST7bSYKjqlVIC/UooQlQyhXuZFEVRyCZNaIiIiAmDniG3VqlWRnp5e6L60tDQoFIpHDqRq1ao2o6smkwnffvstmjVrhpSUFFSrVs3meF9fXyQnJwMAUlJS4O/vX+R+ZyishZJSKiAxmy2U7CWXmJeodc+tk63s3QuIiIioeHYlti1btkRUVBSaN2+O4OBg6/abN28iKioKrVu3LvXAFi1ahH/++QcbNmzAV199BblcbrNfoVBAr9cDALRabYHkWi6XQ6fTFfs1YmNjSzfofKpL3ZCiAdylgFwugU6Xgxwj4CcHrsfFOezrVmQyQYCnHHCTAG4CIMIEHYDC/6RyDkd+z1DZ4XV0DbyOroHX0TWU1XUMDw8vdr9die3o0aMxZMgQDBgwAA0bNoSfnx9SU1Px119/wdvbG++8806pBAsAoihiwYIF2L59O+bMmYO6devCzc0NWVlZNsfpdDoolUoA5iT3/iRWr9fDx8en2K/1oBfnUUxyN9fYGiWAKBpgksgBARjRxAthrLG1ksDcS9ZTbu5gUJ47F8TGxjr0e4bKBq+ja+B1dA28jq6hPF1Hu2ps/f39sWnTJgwYMAAGgwExMTEwGAwYMGAAvvzySwQGBpZKMCaTCf/973/x3XffYfbs2ejUqRMAoFq1akhNTbU59u7du/Dz8wMAVK9evcD+1NTUAuUJZcncQskHAe5SqA0C/JRSTGzqxYljyE1mZRIEuEsR5i1FgIe5VrY8J7VERERU/tndx9bX1xdjx451ZCxYtGgRfvrpJ8ydOxcdOnSwbo+IiMCGDRug0Wjg7m5uSXT+/HlERERY9587d856vFarRUxMDIYNG+bQeB/E0kLpUswVuAdUd2os5YGnTGIdmeUCCURERFTanNfk9T6XLl3C119/jZEjR+Lxxx9HSkqK9V+LFi1Qo0YNTJ8+HVeuXMHGjRtx+fJlvPDCCwCA3r17488//8S6detw9epVzJw5EwEBAWjZsqVzT6qSs4zMVlNKUdtLhkBPKbwVEia1RERE5BB2j9g62i+//AIAWLZsGZYtW2az7/jx45g/fz5mzpyJwYMHIzg4GPPmzUNQUBAAICgoCHPnzsXChQuxfv16REREYP78+U5dnKGyyr/al7tMgITlBURERFRGhLS0NNHZQbg6cylCLWeH4RACzG3MVHIJPOSuvVBCeSqOp4fH6+gaeB1dA6+jayhP17HcjNi6IlddUlcCAR65tbIerJclIiKicoKJrYO42pK6UsGcxFaEtlxERERUOT1yEWpSUhKioqJKIxaX4gpL6soEAd5yCWp4SBHmxbZcREREVL49cmJ7+/ZtrFmzpjRicSlxaiPcpRVrSV1LFwN/pRQ1PWUI85ahOpNZIiIiqiAeuRShYcOG2LlzZymE4lpCVVIkaYzwkOUlhFqjiCAPqROjKkguEaCS53YxkLLEgIiIiCquRx6xlcvlpbbymCsZ11gFnQnINpggioDWYIJeBAbV93B2aJAJAnwUEgR7yhDqJYOfUppbMlHypPZggga9991Bk29vo/e+OziYoHFAxEREREQPZveIbU5ODnbt2oWzZ88iMzMTVapUQbNmzdC7d28olUpHxlghmZfURW5XBCP8lFKndkVQSMyTv9xzOxmUxshs/glyVRUCkjRGTDiRjs/bmM+fiIiIqCzZldimp6dj9OjRuHLlCmrUqAE/Pz/cuHEDhw4dwvbt2xEVFQUvLy9Hx1rhOHNJXXm+RNZd6piWXPknyAEwl10YTFh8Sc3EloiIiMqcXYnt8uXLkZycjBUrVqBFixbW7WfPnsVHH32ElStXYsKECQ4LkuwjlwjwkgvwlEvgJnV8rWyc2oiqCtuv4y4VEKcuvxPkiIiIyHXZVWN7+PBhvPXWWzZJLQC0aNECI0aMwOHDhx0SHD2YXCLA102Cmrn1sr5KaZkktYB5gpzGaLtwncYoIlRVvibIERERUeVgV2Kr1WoRHBxc6L7g4GCkp6eXalBUNEtLrmpKKWqp8pJZpazsuxnYTpATkW0wQWcybyciIiIqa3YltmFhYThy5Eih+w4fPoyaNWuWalBkSy4xdzGo4SFFmLcUgZ5S+LhJoCijkdmimCfI+SDAXYp7OhEB7lJ83saH9bVERETkFHbV2L722muYOnUqjEYjnn76afj5+SE1NRU//fQTdu/ejUmTJjk6zkrHTWpeutZDJnHKaKy9LBPkiIiIiJzNrsS2e/fuiI+Px4YNG/Djjz8CAERRhEKhwPDhw9G3b1+HBlkZSJDXistDLkDugC4GRERERK7M7j62w4cPR//+/XHp0iVkZGTAx8cHjRo1gre3tyPjc2n5W3J5llJvWSIiIqLKqkRL6np5eSEyMtJRsbg8AYBSam7H5S4Tyqx7AREREVFlUGRiO3r0aLufRBAELF++vFQCckUyAajhIXXYQglEREREVExiazAYHvjgK1euICsrCxKJXc0VKi0ZTFDJ+RoREREROVKRie2aNWuKfFBWVhYWLVqEixcvolatWvj4448dEhwRERERkb1KVGMLANHR0fjvf/+L5ORkDBgwAO+88w7c3NwcERsRERERkd3sTmy1Wi2WLFmC77//HoGBgVi+fDmaN2/uyNiIiIiIiOxmV2J7/vx5/Pe//8XNmzfx0ksvYezYsVAqlY6OjYiIiIjIbsUmtjqdDsuXL8fXX3+NgIAALF26FE8++WRZxUZEREREZLciE9s///wT06dPR3x8PPr06YP33nsP7u5cOpWIiIiIyqciE9s333wToihCpVLh2rVrePfdd4t8EkEQsGrVKocESERERERkjyIT26ZNm3KJVyIiIiKqMIpMbFeuXFmWcRARERERPRIuh0VERERELoGJLRERERG5BCa2REREROQSmNgSERERkUtgYktERERELoGJLRERERG5BCa2REREROQSmNgSERERkUtgYktERERELoGJLRERERG5BCa2REREROQSmNgSERERkUtgYktERERELoGJLRERERG5BCa2REREROQSXCqx1el0mD17Nrp27YoePXpg06ZNzg6JiIiIiMqIzNkBlKbFixfj4sWLWLp0KZKTk/Hpp5+iRo0aePrpp50dGhE52cEEDRZfUuPKPSXq/nsH4xqr0L2mu7PDIiKiUuQyI7YajQa7du3CBx98gMcffxydOnXC66+/jm+//dbZoRGRkx1M0GDCiXQkaYzwlolI0hgx4UQ6DiZonB0aERGVIpdJbGNjY6HT6dC0aVPrtmbNmuGvv/6CwWBwYmRE5GyLL6mhkAAeMgkEwfxRITFvJyIi1+EyiW1KSgq8vb3h5uZm3ebr6wu9Xo+0tDTnBUZEThenNsJdKthsc5cKiFMbnRQRERE5gsvU2Gq1WigUCpttls91Ol2hj4mNjXV4XM74WuQ4vI4VU3WpG1I0gLvU/HlOjhYaI1BdwWtakfHauQZeR9dQVtcxPDy82P0uk9gqFIoCCazlc6VSWehjHvTilJbY2Ngy+1rkOLyOFdckd3ONrVECSAw6mGQKQAAmtfJBOCeQVUh8P7oGXkfXUJ6uo8uUIlSvXh2ZmZnQ6/XWbampqVAoFPD29nZiZETkbN1ruuPzNj4IcJciwyAgwF2Kz9v4sCsCEZGLcZkR2/r160Mul+PixYt44oknAAAXLlzAY489BpnMZU6TiB5S95ru6F7TPXdkIcTZ4RARkQO4zIitUqnEc889h3nz5uHPP//EkSNHsHnzZgwYMMDZoRERERFRGXCpocz3338fc+bMwdtvvw1PT0+8+eab6N69u7PDIiIiIqIy4FKJrVKpxKeffopPP/3U2aEQERERURlzmVIEIiIiIqrcmNgSERERkUtgYktERERELoGJLRERERG5BCEtLU10dhBERERERI+KI7ZERERE5BKY2BIRERGRS2BiS0REREQugYktEREREbkEJralQKfTYfbs2ejatSt69OiBTZs2FXlsTEwMhg0bhg4dOmDQoEH466+/yjBSKk5JruPBgwcxcOBAdOzYEa+++ip+//33MoyUilOS62iRnp6OHj16YPfu3WUQIdmjJNfx+vXrGD16NDp06ICXXnoJv/zySxlGSsUpyXU8d+4cBg0ahI4dO+K1117DiRMnyjBSsodOp8PAgQNx6tSpIo9xdp7DxLYULF68GBcvXsTSpUsxefJkrF+/HgcOHChwnEajwXvvvYeIiAhs2rQJzZo1w/vvv4+srCwnRE33s/c6njt3Dp988gkGDhyILVu2oE+fPpg4cSL++ecfJ0RN97P3Oua3YMEC3L17t4wiJHvYex2zs7MxZswYVK9eHVu2bEH//v0xdepUXL161QlR0/3svY53797Fhx9+iK5du+Krr75Ct27dMGHCBNy6dcsJUVNhcnJyHvjeKg95DhPbR6TRaLBr1y588MEHePzxx9GpUye8/vrr+Pbbbwsce/DgQchkMrz33nuoXbs23n//fahUKhw8eNAJkVN+JbmOe/bsQZcuXfDCCy8gJCQEAwYMwJNPPsnrWA6U5DpaHD9+HH/99ReqVq1ahpFScUpyHffu3QupVIpp06ahVq1aGDBgAFq3bo1Lly45IXLKryTX8cKFCwCAwYMHo2bNmhg6dCjc3Nxw+fLlsg6bCnH16lUMGzYMCQkJxR5XHvIcJraPKDY2FjqdDk2bNrVua9asGf766y8YDAabYy9fvowmTZpAIjG/7IIgoEmTJvwBXA6U5Dr2798fw4YNK/AcOp3O4XFS8UpyHQEgKysLc+bMweTJkyGXy8syVCpGSa5jdHQ0OnbsCJlMZt22cOFC9OnTp8zipcKV5Dr6+PhArVbj0KFDEEURv/32G7Kzs1GvXr2yDpsKcf78ebRu3Rrr1q0r9rjykOcwsX1EKSkp8Pb2hpubm3Wbr68v9Ho90tLSChxbrVo1m22+vr5ITk4ui1CpGCW5jvXr10edOnWsn1+5cgXR0dFo3rx5WYVLRSjJdQSAJUuWoG3btmjRokUZRkkPUpLrmJCQgKpVq2Lu3Ll49tln8cYbb7DmvZwoyXVs3rw5+vXrhylTpiAyMhITJ07EpEmTULt27TKOmgrz4osvYty4cVAqlcUeVx7yHCa2j0ir1UKhUNhss3x+/wieVqstMCqkUCig1+sdGyQ9UEmuY353797FxIkT0axZM3Tq1MmhMdKDleQ6nj17FkePHsXYsWPLLD6yT0muY3Z2NjZv3gwvLy8sWrQI3bp1w8SJE/H333+XWbxUuJJcR41Gg8TERAwbNgwbNmzAmDFjsGDBAt7RrGDKQ54je/AhVByFQlHgDWr5/P6/bNzc3ApcXJ1O98C/gMjxSnIdLZKSkjBu3DhIpVJ89tln1lsv5Dz2XketVotZs2bhww8/hEqlKtMY6cFK8n6USqWoW7cu3n77bQBAgwYNcP78eezcuROPP/542QRMhSrJddy8eTP0ej3eeustAObrePXqVaxbtw4LFy4sm4DpkZWHPIe/iR9R9erVkZmZaXMhU1NToVAo4O3tbXNstWrVkJqaarMtNTUVfn5+ZRIrFa0k1xEAbt68iZEjRwIAVqxYgSpVqpRVqFQMe6/jX3/9hRs3buDTTz9Fp06d0KlTJ9y5cwdz5szBZ5995ozQKZ+SvB/9/f0RFhZmsy00NBS3b98ui1CpGCW5jn/99ZdNiRcAPP7440hMTCyTWKl0lIc8h4ntI6pfvz7kcjkuXrxo3XbhwgU89thjNpMZACAiIgIXL16EKIoAAFEUcenSJTRu3LhMY6aCSnId09PTMWbMGKhUKqxatYp/mJQj9l7Hhg0b4rvvvsPmzZut/3x9fTFy5EjriBE5T0nej40bNy7Qau/atWsIDAwsk1ipaCW5jv7+/vj3339ttl27dg3BwcFlEiuVjvKQ5zCxfURKpRLPPfcc5s2bhz///BNHjhzB5s2bMWDAAADmQmqtVgsA6NKlCzQaDebPn4+rV69i4cKFyMrKQvfu3Z15CoSSXccVK1YgLS0Nn3zyCQwGA1JSUpCSkgK1Wu3MUyDYfx2VSiVCQkJs/kmlUvj6+sLX19fJZ0EleT+++OKLiI+Px5IlS5CQkICtW7fi1KlT6Nu3rzNPgVCy69i3b1+cO3cOmzZtws2bN7Fr1y7s3r0br7zyijNPgexQ3vIcIS0tTSyzr+aitFot5syZg19//RWenp547bXX8NprrwEAWrVqhY8//hi9evUCYL7d8tlnn+HatWuoV68eJk2axDqwcsLe69i9e3ekp6cXeHyPHj0wY8aMsg6b7lOS92N+vXr1wqhRowrdR2WvJNfx0qVL+OKLL/Dvv/8iODgY77zzDjp27OjM8ClXSa7jsWPHsGrVKsTFxSEoKAgjRoxAly5dnBk+FaJVq1ZYunQpWrVqZf28POU5TGyJiIiIyCWwFIGIiIiIXAITWyIiIiJyCUxsiYiIiMglMLElIiIiIpfAxJaIiIiIXAITWyKicsjS4JyKx9eJiPKTPfgQIqLya9SoUTh79qzNNrlcDn9/f0RGRmLUqFHw8fFxSmzTp0/H6dOnsXv3brsfo9PpsHz5ctSrV8/aF3LUqFEwGo1Ys2aNo0K1mj59Ovbs2WP9XBAEKJVK1KxZE926dcOrr74KNzc3h8dRVGz5X88LFy4gKioKS5YscUo8RFT+MLElogqvXr16mDhxovVzvV6Pf/75BytXrkRMTAyioqIgCIITI7RfSkoKvvrqK/znP/+xbhs/fnyZxlC1alXMnTsXAGAymZCVlYVz584hKioKx48fx9KlS52S3A4dOhT9+vWzfr5z505cu3atzOMgovKLiS0RVXienp5o1qyZzbaWLVsiJycHq1atwuXLl8t0rfLSVq9evTL9enK5vMDr2aFDBzRp0gQTJ07Eli1bMGzYsDKNCQBq1apV5l+TiCoW1tgSkcuyLON4+/Zt67aDBw9i8ODB6NSpE3r06IHZs2cjLS3Nun/16tXo1asXjh07hn79+qFDhw4YMmQITp06ZT0mMTERrVq1ws6dO22+3ooVK6zLTBbGaDRi48aNGDhwIDp06ICOHTti+PDh1uc+c+YMXnjhBQDA7NmzMWrUKADmUoQRI0ZYnycnJwdr165Fv3790L59e7z44ovYsGEDjEaj9ZhRo0Zh5syZ+Oqrr/DCCy+gffv2eOONN3DixImSvYj5dO7cGREREfj+++9ttv/+++8YMmQIOnTogGeeeQZz5syBWq227t+9ezfatm2Lv//+GyNGjECHDh3w7LPPYvny5TYxnz59Gm+++SY6d+6Mp556CmPHjsXff/9t3T99+nSb8ow9e/YgOTkZrVq1wqlTp/Dcc89h8uTJBeIeOnSozYg+EbkuJrZE5LLi4uIAADVr1gQArF27FlOmTEGDBg0wa9YsDB06FL/88gtGjx4NrVZrfVx6ejo++eQTvPDCC5g5cybc3Nzw3nvv4a+//nqkeJYtW4aoqCj07t0bX3zxBT766COkpaVh8uTJyM7ORoMGDfDZZ58BAAYNGlRoCYIoivjwww+xceNGPPfcc5g3bx6eeuoprFq1CrNnz7Y59rfffsO+ffvwzjvvYNasWTAajZg0aRIyMzMf+hzatGmD5ORk3Lp1C4D5D4Xx48ejRo0amD17NkaMGIFDhw7h3XffhcFgsD7OZDJhwoQJaN++PebPn4+OHTtiw4YN+PHHHwEACQkJ+OCDDxAaGoo5c+bg448/xr179zB27FhkZWUViGP8+PGIjIxE1apVsXr1ajRs2BA9e/bE77//bnN+165dw59//onevXs/9DkTUcXBUgQicgn5k6iMjAycO3cO69atQ5MmTfDYY48hIyMD69evR+/evW3qV8PDwzFq1Cjs2rULAwYMAGAeEZ00aZJ1dLB169Z44YUXsHHjRmvt6cNISkrCyJEj8dprr1m3KZVKfPTRR4iJiUGzZs2so8w1a9YstAThjz/+wKlTp/DJJ5+gZ8+eAIDIyEgolUqsWbMGAwcORHh4uPU8li5dap085+7ujjFjxuD06dPo0qXLQ52Dr68vACA1NRU1atTA4sWL0aJFC8yZM8d6THh4OEaMGIGff/4ZzzzzDABzQj5kyBC8/PLLAIBWrVrh+PHjOHLkCF544QX8/fffyMnJwahRo1CtWjUAQFhYGH788Ueo1Wp4enraxFGvXj1UrVrVpmzi+eefx6ZNm3Dw4EG8+OKLAIAff/wRfn5+aNu27UOdLxFVLExsiajCu3DhAiIjI222SSQStGrVClOmTIEgCLh8+TJ0Op010bJo0aIFAgMDcebMGWtiK5VK0aNHD+sxSqUS7dq1w5EjRx4pzlmzZgEwjwjHx8cjPj7e+pw6nc6u5zhz5gwkEgmefvppm+09e/bEmjVrcPbsWWtiGxYWZtMRIiAgAACg0Wge6TwAc7eE+Ph4JCUl4fXXX7f5w6JRo0bw9/fHyZMnbV7vpk2b2jy+evXq1lgaN24Md3d3DB06FN27d0ebNm3QrFkzjBs3zu6YQkJC0Lx5c+zduxcvvvgijEYj9u3bh2effRYyGX/dEVUGfKcTUYUXHh6OKVOmADAnTAqFAoGBgfDw8LAek5GRAQDw8/Mr8Hg/Pz+b29dVqlQpkAj5+vo+0i18APi///s/fP7557h06RLc3NxQr149a7Jpr4yMDHh5eUEul9tst5xX/hiVSqXNMRKJufrsUXq/3rlzBwBQvXp1JCYmAgC++OILfPHFF0UeW1w8llhq1KiBNWvWYNOmTfjhhx+wZcsWeHh4oGfPnnjvvfcKnG9R+vTpg08++QQ3btzA9evXkZqaiueff77E50lEFRMTWyKq8Dw8PNCwYcNij/H29gZgvoVet25dm3137txBRESE9fOMjAyYTCZrImh5XNWqVQHA2jrMZDLZPE9htaAWarUaY8eORb169fDNN98gNDQUEokEx44dwy+//GLHWeadR2ZmJvR6vU2yl5KSAsCclDvS6dOnERISgmrVqln/WHjnnXfQsmXLAsfeXz7wIPXr18fMmTNhNBrx559/Ys+ePfj2228RGBiI119/3a7neOqppzB//nwcPHgQcXFxaNy4McLCwkoUBxFVXJw8RkSVQqNGjaBQKPDTTz/ZbD979iySkpJs2lvp9XocO3bM+rlWq8Xx48etyZslYcvfbUEUxQILReQXFxeH9PR09OvXD7Vr17YmzcePHweQlyRLpdJiz6NFixYwmUw4cOCAzfZ9+/YBsL3dX9qOHTuGy5cvW+tXw8LC4Ovri5s3b6Jhw4bWf0FBQViyZAkuXbpk93Nv3boVzz//PHJyciCVStGkSRN89NFH8PDwsE5Uu1/+PzwslEolnnnmGRw6dAjHjh3jpDGiSoYjtkRUKfj4+GDQoEGIioqCTCZDx44dkZiYiNWrVyM0NLRAAjRz5ky89dZb8PX1xZYtW6DRaDB8+HAA5lHTpk2bYvv27ahZsyb8/f2xa9cupKamFvn1Q0NDoVKpsGHDBkilUshkMvzyyy/WVb4staaWpPnMmTNo0KCBdTKZRWRkJJ544gnMnTsXd+7cQYMGDXD27Fls3rwZzzzzjLW+9lHo9XqcP38egDlhV6vVOHfuHL799ls88cQTNrXI77zzDmbOnAkA6NixIzQaDTZt2oSEhIQStdh68sknsWzZMnz44Yfo168fFAoF9u/fD61Wi65duxb6GC8vL6SlpeH3339H48aNraPVffr0wfbt26FUKtGtW7eHfyGIqMJhYktElcbIkSPh5+eHbdu2Yffu3fDx8UHXrl0xevRom3pcAJgyZQoWLVqElJQUNGnSxJoAW3z66aeYP38+5s+fbx0lHD16dIGWWxYqlQqff/45Fi9ejKlTp8LT0xPh4eFYtWoV3nvvPZw/fx5PPfUUVCoVBg0ahG3btiEmJgbffPONzfMIgoCFCxdi1apV2L59O+7du4fAwECMGjXK7tv1D3Lv3j2MHDnS+vWqVKmC4OBgvPvuu3j++edt6o979+4NT09PbNq0CXv37oVSqUTjxo0xZcoU1K5d2+6vGR4ejgULFmDt2rWYMWMGdDodwsPD8fnnn6NFixaFPqZv3744evQoJk+ejKlTp1on/DVo0ADVq1fHk08+CZVK9QivBBFVNEJaWtrDzyIgInIxq1evti4dy5n0FVNsbCxee+01rFmzxqGlGURU/vCnNhERuYQzZ87gzJkz2L9/P5o0acKklqgS4uQxIiJyCRkZGdiyZQtUKhWmT5/u7HCIyAlYikBERERELoEjtkRERETkEpjYEhEREZFLYGJLRERERC6BiS0RERERuQQmtkRERETkEpjYEhEREZFL+H+k+y0Ag097PgAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Regression Plot for Lab confirmed cases vs population density for all states\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=NCDC_external).set_title('Confirmed Cases and Population Density')" + ] + }, + { + "cell_type": "markdown", + "id": "2e596b41", + "metadata": {}, + "source": [ + "The general trend indicates that higher record of Lab confirmed cases is associated with higher population densities across all states. There are also many outlier cases that does not align with this trend i.e does not show that higher or lower confirmed cases connected with higher or lower pouplation densities." + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "96eb987a", + "metadata": {}, + "outputs": [], + "source": [ + "# Further analysis on other indicators: Recovery rate\n", + "JH_Daily_Recovery_Nigeriadf['Recovery Rate'] = JH_Daily_Recovery_Nigeriadf['Recovered Cases'].diff()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "a243f893", + "metadata": {}, + "outputs": [], + "source": [ + "# Further analysis on other indicators: Death rate\n", + "JH_Daily_DeathsNigeriadf['Death Rate'] = JH_Daily_DeathsNigeriadf['Death Cases'].diff()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "cb091148", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Recovery Rate in Nigeria')" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Further analysis on other indicators: lineplot of Recovery rate \n", + "plt.figure(figsize = (20,10))\n", + "sns.lineplot(x = 'Date', y = 'Recovery Rate', data = JH_Daily_Recovery_Nigeriadf).set_title('Daily Recovery Rate in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "544b3271", + "metadata": {}, + "source": [ + "The highest recorded rate of recovery of 11188.0 was made on 2020-08-04 while the lowest was -165208.0 on 2021-08-05." + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "d727aa53", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "11188.0" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Highest recovery rate\n", + "Highest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].max()\n", + "Highest_recovery_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "id": "dc8e69c8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateRecovered CasesRecovery Rate
1952020-08-043185111188.0
\n", + "
" + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "195 2020-08-04 31851 11188.0" + ] + }, + "execution_count": 141, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == 11188.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "e315403a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-165208.0" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lowest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].min()\n", + "Lowest_recovery_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "id": "f911ea90", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateRecovered CasesRecovery Rate
5612021-08-050-165208.0
\n", + "
" + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "561 2021-08-05 0 -165208.0" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "\n", + "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == -165208.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "a02231ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Death Rate in Nigeria')" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Further analysis on other indicators: Seaborn's lineplot Death rate\n", + "plt.figure(figsize = (15,5))\n", + "sns.lineplot(x = 'Date', y = 'Death Rate', data = JH_Daily_DeathsNigeriadf).set_title('Daily Death Rate in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "73b25263", + "metadata": {}, + "source": [ + "There was a spike in the death rate in Nigeria on 2021-08-29 with a record high of 93.0. The reason may be because that relaxed perventive measures with apparent ease of local restrictions. The lowest death rate of -4.0 was recorded on 2022-06-10 perhaps due to the success at global control the corona virus, especially in year 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "id": "c4596cbc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "93.0" + ] + }, + "execution_count": 145, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Highest_death_rate = JH_Daily_DeathsNigeriadf['Death Rate'].max()\n", + "Highest_death_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "id": "34e9077c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath CasesDeath Rate
5852021-08-29245493.0
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" + ], + "text/plain": [ + " Date Death Cases Death Rate\n", + "585 2021-08-29 2454 93.0" + ] + }, + "execution_count": 146, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] == 93.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "421c5844", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-4.0" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lowest_death_rate=JH_Daily_DeathsNigeriadf['Death Rate'].min()\n", + "Lowest_death_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "id": "e79bfc0f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath CasesDeath Rate
8702022-06-103144-4.0
\n", + "
" + ], + "text/plain": [ + " Date Death Cases Death Rate\n", + "870 2022-06-10 3144 -4.0" + ] + }, + "execution_count": 148, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] ==-4.0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55dfb36f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 150, + "id": "0d3d5777", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Regression\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=NCDC_external[\"Age\"], y=NCDC_external[\"No. of Cases (Lab Confirmed)\"], data=NCDC_external).set_title('Age and infection Pattern in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "143c42d6", + "metadata": {}, + "source": [ + "The above plot displays the association between number of confirmed cases and age of populations. Though it can be infered from the regression trend that susceptibility to the covid infections are generally associated with elderly group in populations, many outliers indicates that many other age categories also were captured in high and low number of recorded lab confirmed cases." + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "id": "75ed56aa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Age\", y=\"No. of Deaths\", data=NCDC_external).set_title('Age and Mortality in States in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "5baf5607", + "metadata": {}, + "source": [ + "Apparently, the number of deaths tends to be more in the younger population because they are more in the overall population compared to the elderly group. The trendline of the regression does however indicate that the number of deaths recorded among the elderly group is still significant because they are less in population compared to the younger populace. " + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "id": "6110820e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Bar plot for Mortality and Health Systems\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.barplot(x=\"Health System\", y=\"No. of Deaths\", data=NCDC_external).set_title('Mortality and Health System')" + ] + }, + { + "cell_type": "markdown", + "id": "bc686c82", + "metadata": {}, + "source": [ + "From the bar plots above, it is not clear whether health systems in states in Nigeria had any significant influence on the number of deaths recorded during the covid crisis." + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "id": "a0805c69", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Bar plot for Discharged cases and Health Systems\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.barplot(x=\"Health System\", y=\"No. Discharged\", data=NCDC_external).set_title('Discharged Cases and Health System')" + ] + }, + { + "cell_type": "markdown", + "id": "70262c2a", + "metadata": {}, + "source": [ + "Health systems of a country may influence the overall health impact of coroner virus. Higher system indices show that health crisis mangagemnt are more effective and therefore there are chances that there will be higher number of discharged cases.\n", + "So far from the barplot, it is inconclusive to say that the health system of Nigeria influenced the number of covid discharged cases in Nigeria. This is further highlighted by the large error bars which indicates higher measure of dispersion from any possible trend." + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "id": "76e60106", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Health System in States')" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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5201916434552.6516931434.8918494114.1719530000.00
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" + ], + "text/plain": [ + " Year Q1 Q2 Q3 Q4\n", + "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", + "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", + "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", + "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", + "4 2018 16096654.19 16580508.07 18081342.10 19041437.59\n", + "5 2019 16434552.65 16931434.89 18494114.17 19530000.00\n", + "6 2020 16740000.00 15890000.00 17820000.00 0.00" + ] + }, + "execution_count": 156, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Declaring the dtat set to be used\n", + "RealGDP" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "id": "dd8ef945", + "metadata": {}, + "outputs": [], + "source": [ + "#Restructuring the RealGDP dataframe for easy readability and accessibility\n", + "Q_RealGDP= pd.melt(RealGDP, id_vars=['Year'], var_name='Quarter', value_name='Amount in Billion(N)')" + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "id": "994c4a99", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearQuarterAmount in Billion(N)
02014Q115438679.50
12015Q116050601.38
22016Q115943714.54
32017Q115797965.83
42018Q116096654.19
52019Q116434552.65
62020Q116740000.00
72014Q216084622.31
82015Q216463341.91
92016Q216218542.41
102017Q216334719.27
112018Q216580508.07
122019Q216931434.89
132020Q215890000.00
142014Q317479127.58
152015Q317976234.59
162016Q317555441.69
172017Q317760228.17
182018Q318081342.10
192019Q318494114.17
202020Q317820000.00
212014Q418150356.45
222015Q418533752.07
232016Q418213537.29
242017Q418598067.07
252018Q419041437.59
262019Q419530000.00
272020Q40.00
\n", + "
" + ], + "text/plain": [ + " Year Quarter Amount in Billion(N)\n", + "0 2014 Q1 15438679.50\n", + "1 2015 Q1 16050601.38\n", + "2 2016 Q1 15943714.54\n", + "3 2017 Q1 15797965.83\n", + "4 2018 Q1 16096654.19\n", + "5 2019 Q1 16434552.65\n", + "6 2020 Q1 16740000.00\n", + "7 2014 Q2 16084622.31\n", + "8 2015 Q2 16463341.91\n", + "9 2016 Q2 16218542.41\n", + "10 2017 Q2 16334719.27\n", + "11 2018 Q2 16580508.07\n", + "12 2019 Q2 16931434.89\n", + "13 2020 Q2 15890000.00\n", + "14 2014 Q3 17479127.58\n", + "15 2015 Q3 17976234.59\n", + "16 2016 Q3 17555441.69\n", + "17 2017 Q3 17760228.17\n", + "18 2018 Q3 18081342.10\n", + "19 2019 Q3 18494114.17\n", + "20 2020 Q3 17820000.00\n", + "21 2014 Q4 18150356.45\n", + "22 2015 Q4 18533752.07\n", + "23 2016 Q4 18213537.29\n", + "24 2017 Q4 18598067.07\n", + "25 2018 Q4 19041437.59\n", + "26 2019 Q4 19530000.00\n", + "27 2020 Q4 0.00" + ] + }, + "execution_count": 158, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Q_RealGDP" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "id": "8c2fcdb6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 159, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# generating a seaborn's barplot using the GDP values for each year & quarters\n", + "plt.figure(figsize = (10,5))\n", + "sns.barplot(x = 'Year', y = 'Amount in Billion(N)',hue = 'Quarter', data =Q_RealGDP).set_title('Annual-Quaterly GDP')\n", + "plt.legend(loc = 'lower left')\n", + "plt.axhline(y =15890000.00, label ='Hline', color ='black')" + ] + }, + { + "cell_type": "markdown", + "id": "6fe3ce42", + "metadata": {}, + "source": [ + "The second quarter of 2020 (onset of impact of pandemic in Nigeria) was used to apply an axhline threashold and bench mark for comparison of dataset parameters. \n", + "\n", + "\n", + "There is no record for the fourth quarter's GDP in 2020 \n", + "\n", + "\n", + "Economic activities during the fourth quarter was virtually grounded hence there is no record of GDP for fourth quater of 2020. This also means that 2020 has the lowest combined GDP in the years under review. \n", + "\n", + "\n", + "The impact of covid 19 was huge on Nigeria's economy around the second quarter, in 2020, because that was when the highest cases of daily infection were recorded. \n", + "\n", + "\n", + "The negative effects of covid on the population and the control measures enforced by the government affected productivity, all compared to other years included in the review. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cb30a778", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 7da848e3a5731543fec271c21aa4fcf7b49a885c Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Thu, 25 Aug 2022 04:05:02 -0700 Subject: [PATCH 02/19] Add files via upload Ochai_NIgeria COVID 19-Data Analysis Project_Updated --- ...COVID-19-Data-Analysis-Using-Python .ipynb | 6329 +++++++++++++++++ 1 file changed, 6329 insertions(+) create mode 100644 Nigeria-COVID-19-Data-Analysis-Using-Python .ipynb diff --git a/Nigeria-COVID-19-Data-Analysis-Using-Python .ipynb b/Nigeria-COVID-19-Data-Analysis-Using-Python .ipynb new file mode 100644 index 00000000..35a896c5 --- /dev/null +++ b/Nigeria-COVID-19-Data-Analysis-Using-Python .ipynb @@ -0,0 +1,6329 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "01395153", + "metadata": {}, + "source": [ + "# Task 1 - Data Collection\n", + "Here you will obtain the required data for the analysis. As described in the project instructions, you will perform a web scrap to obtain data from the NCDC website, import data from the JoHn Hopkins repository, and import the provided external data.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "66328de6", + "metadata": {}, + "source": [ + "# A - NCDC Website scrap\n", + "Website - https://covid19.ncdc.gov.ng/" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "eb9c700f", + "metadata": {}, + "outputs": [], + "source": [ + "# Importing all libraries\n", + "import os\n", + "os.chdir('C:\\\\Users\\\\OCHAI ODEH\\\\Downloads\\\\Nigeriadata')\n", + "import requests\n", + "import numpy as np\n", + "import urllib.request\n", + "import pandas as pd\n", + "import csv\n", + "from bs4 import BeautifulSoup\n", + "import seaborn as sns\n", + "sns.set_style(\"darkgrid\")\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "plt.style.use('fivethirtyeight') \n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2fb9112c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# checking response of server to get url request\n", + "\n", + "url = 'https://covid19.ncdc.gov.ng'\n", + "status_code = requests.get(url)\n", + "status_code" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "416ceaad", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 102877 129 \n", + "1 FCT 29075 146 \n", + "2 Rivers 17680 262 \n", + "3 Kaduna 11467 11 \n", + "4 Oyo 10327 6 \n", + "5 Plateau 10292 18 \n", + "6 Edo 7821 102 \n", + "7 Ogun 5810 11 \n", + "8 Delta 5631 349 \n", + "9 Ondo 5173 315 \n", + "10 Kano 5169 41 \n", + "11 Akwa Ibom 4973 22 \n", + "12 Kwara 4680 441 \n", + "13 Osun 3311 36 \n", + "14 Gombe 3310 6 \n", + "15 Enugu 2952 13 \n", + "16 Anambra 2825 46 \n", + "17 Nasarawa 2777 393 \n", + "18 Imo 2655 7 \n", + "19 Ekiti 2447 46 \n", + "20 Katsina 2418 0 \n", + "21 Abia 2226 11 \n", + "22 Benue 2129 340 \n", + "23 Ebonyi 2064 28 \n", + "24 Bauchi 1979 8 \n", + "25 Borno 1629 5 \n", + "26 Taraba 1473 62 \n", + "27 Bayelsa 1363 10 \n", + "28 Adamawa 1203 68 \n", + "29 Niger 1150 132 \n", + "30 Cross River 873 3 \n", + "31 Sokoto 822 0 \n", + "32 Jigawa 669 2 \n", + "33 Yobe 638 4 \n", + "34 Kebbi 480 10 \n", + "35 Zamfara 375 0 \n", + "36 Kogi 5 0 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 101977 771 \n", + "1 28680 249 \n", + "2 17264 154 \n", + "3 11367 89 \n", + "4 10119 202 \n", + "5 10199 75 \n", + "6 7398 321 \n", + "7 5717 82 \n", + "8 5170 112 \n", + "9 4749 109 \n", + "10 5001 127 \n", + "11 4907 44 \n", + "12 4175 64 \n", + "13 3183 92 \n", + "14 3238 66 \n", + "15 2910 29 \n", + "16 2760 19 \n", + "17 2345 39 \n", + "18 2590 58 \n", + "19 2373 28 \n", + "20 2381 37 \n", + "21 2181 34 \n", + "22 1764 25 \n", + "23 2004 32 \n", + "24 1947 24 \n", + "25 1580 44 \n", + "26 1377 34 \n", + "27 1325 28 \n", + "28 1103 32 \n", + "29 998 20 \n", + "30 845 25 \n", + "31 794 28 \n", + "32 649 18 \n", + "33 625 9 \n", + "34 454 16 \n", + "35 366 9 \n", + "36 3 2 \n" + ] + } + ], + "source": [ + "# Reading NCDC data from url to a DataFrame object.\n", + "url = 'https://covid19.ncdc.gov.ng'\n", + "html = requests.get(url).content\n", + "df_list = pd.read_html(html)\n", + "\n", + "#Saving the data from link to object nig_covid_cases\n", + "nig_covid_cases = df_list[-1]\n", + "print(nig_covid_cases)\n", + "nig_covid_cases.to_csv('ncdcdata.csv')\n" + ] + }, + { + "cell_type": "markdown", + "id": "9d65c790", + "metadata": {}, + "source": [ + "# B - John Hopkins Data Repository\n", + "Here you will obtain data from the John Hopkins repository. Your task here involves saving the data from the GitHub repo link to DataFrame for further analysis. Find the links below.\n", + "\n", + "Global Daily Confirmed Cases - Click Here Global Daily Recovered Cases - Click Here Global Daily Death Cases - Click Here\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "980b61f4", + "metadata": {}, + "outputs": [], + "source": [ + "#Saving the data from John Hopkin's repository's link into a DataFrame object\n", + "\n", + "confirmed_global= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", + "covid19_recovered_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", + "covid19_deaths_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2e75c02c", + "metadata": {}, + "outputs": [], + "source": [ + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "184a6b6a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
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" + ], + "text/plain": [ + " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", + "0 NaN Afghanistan 33.93911 67.709953 0 0 \n", + "1 NaN Albania 41.15330 20.168300 0 0 \n", + "2 NaN Algeria 28.03390 1.659600 0 0 \n", + "3 NaN Andorra 42.50630 1.521800 0 0 \n", + "4 NaN Angola -11.20270 17.873900 0 0 \n", + "\n", + " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", + "0 0 0 0 0 ... 7758 7758 7759 \n", + "1 0 0 0 0 ... 3570 3571 3571 \n", + "2 0 0 0 0 ... 6878 6878 6878 \n", + "3 0 0 0 0 ... 154 154 154 \n", + "4 0 0 0 0 ... 1917 1917 1917 \n", + "\n", + " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", + "0 7759 7759 7759 7759 7759 7762 7767 \n", + "1 3573 3574 3574 3575 3576 3576 3576 \n", + "2 6878 6878 6878 6878 6878 6878 6878 \n", + "3 154 154 154 154 154 154 154 \n", + "4 1917 1917 1917 1917 1917 1917 1917 \n", + "\n", + "[5 rows x 948 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reading some of the data from John Hopkin's repository\n", + "JH_deaths_global.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39a878bc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "219c82cd", + "metadata": {}, + "source": [ + "# External Data\n", + "\n", + "Save the external data to a DataFrame\n", + "External Data includes but not limited to: covid_external.csv, Budget data.csv, RealGDP.csv" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "dc07766f", + "metadata": {}, + "outputs": [], + "source": [ + "#Saving external data into dataaframe object\n", + "covid_external = pd.read_csv('covid_external.csv')\n", + "Budget_data = pd.read_csv('Budget data.csv')\n", + "RealGDP = pd.read_csv('RealGDP.csv')\n", + "covidnig = pd.read_csv('covidnig.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "706c1245", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26,7082,43524,037236
1FCT9,6272,8406,69493
2Kaduna4,5045793,87748
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" + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 26,708 2,435 \n", + "1 FCT 9,627 2,840 \n", + "2 Kaduna 4,504 579 \n", + "3 Plateau 4,262 280 \n", + "4 Oyo 3,788 368 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 24,037 236 \n", + "1 6,694 93 \n", + "2 3,877 48 \n", + "3 3,948 34 \n", + "4 3,374 46 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reading some of the dataframes\n", + "covidnig.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8a8ccd9e", + "metadata": {}, + "outputs": [], + "source": [ + "# Combining all 'external' dataframe objects provided using the merge() function on identical column\n", + "merged_t1 = pd.merge(covid_external, Budget_data, on= 'states', how ='outer', sort= True)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "2b982227", + "metadata": {}, + "outputs": [], + "source": [ + "#Renaming of a column is necessary if web scrapped data from NCDC's link is to be merged with 'external' dataframe on isentical column 'states'.\n", + "covidnig_rn = covidnig.rename(columns={'States Affected':'states'})" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "38c0df7a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", + " 2 No. of Cases (on admission) 37 non-null object\n", + " 3 No. Discharged 37 non-null object\n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(1), object(4)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "#Checking if Renaming was successful and type of data in imported data from NCDC's link.\n", + "covidnig_rn.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "f8304c9b", + "metadata": {}, + "outputs": [], + "source": [ + "# values of data are object\n", + "# All data values has to be converted to appropriate type (numeric). We use pd.to_numeric and apply the conversion.\n", + "covidnig_rndf = covidnig_rn[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", + "covidnig_rn[covidnig_rndf] = covidnig_rn[covidnig_rndf].apply(pd.to_numeric,errors='coerce')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "edc5e80b", + "metadata": {}, + "outputs": [], + "source": [ + "covidnig_rn.replace(',','', regex=True, inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "f3fa815d", + "metadata": {}, + "outputs": [], + "source": [ + "#Final merger of external dataframe and NCDC's data also using the pd.merge() function\n", + "merged_t2 = pd.merge(merged_t1,covidnig_rn, on= 'states', how ='outer', sort=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "cfef53ba", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df = merged_t2.append(RealGDP, ignore_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "e6d82b00", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised_budget (Bn)No. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsYearQ1Q2Q3Q4
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic ... Revised_budget (Bn) No. of Cases (Lab Confirmed) \\\n", + "0 0.2 ... 102.70 980.0 \n", + "1 0.7 ... 139.31 355.0 \n", + "2 0.5 ... NaN 395.0 \n", + "3 NaN ... 366.00 NaN \n", + "4 0.0 ... 112.80 299.0 \n", + "\n", + " No. of Cases (on admission) No. Discharged No. of Deaths Year Q1 Q2 \\\n", + "0 25.0 945.0 10.0 NaN NaN NaN \n", + "1 96.0 238.0 21.0 NaN NaN NaN \n", + "2 44.0 342.0 9.0 NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN NaN \n", + "4 6.0 274.0 19.0 NaN NaN NaN \n", + "\n", + " Q3 Q4 \n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Viewing the data\n", + "#Obtain basic information about the merged data using the head() and info() method.\n", + "combined_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "570617ef", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 48 entries, 0 to 47\n", + "Data columns (total 23 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 41 non-null object \n", + " 1 region 37 non-null object \n", + " 2 Population 37 non-null float64\n", + " 3 Overall CCVI Index 37 non-null float64\n", + " 4 Age 37 non-null float64\n", + " 5 Epidemiological 37 non-null float64\n", + " 6 Fragility 37 non-null float64\n", + " 7 Health System 37 non-null float64\n", + " 8 Population Density 37 non-null float64\n", + " 9 Socio-Economic 37 non-null float64\n", + " 10 Transport Availability 37 non-null float64\n", + " 11 Acute IHR 37 non-null float64\n", + " 12 Initial_budget (Bn) 37 non-null float64\n", + " 13 Revised_budget (Bn) 37 non-null float64\n", + " 14 No. of Cases (Lab Confirmed) 21 non-null float64\n", + " 15 No. of Cases (on admission) 35 non-null float64\n", + " 16 No. Discharged 22 non-null float64\n", + " 17 No. of Deaths 37 non-null float64\n", + " 18 Year 7 non-null float64\n", + " 19 Q1 7 non-null float64\n", + " 20 Q2 7 non-null float64\n", + " 21 Q3 7 non-null float64\n", + " 22 Q4 7 non-null float64\n", + "dtypes: float64(21), object(2)\n", + "memory usage: 8.8+ KB\n" + ] + } + ], + "source": [ + "combined_df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "7333933a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "states 37\n", + "Initial_budget (Bn) 37\n", + "Revised_budget (Bn) 37\n", + "dtype: int64" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Budget_data.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "cbb55a48", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "states 37\n", + "region 6\n", + "Population 37\n", + "Overall CCVI Index 11\n", + "Age 11\n", + "Epidemiological 11\n", + "Fragility 11\n", + "Health System 11\n", + "Population Density 11\n", + "Socio-Economic 11\n", + " Transport Availability 11\n", + "Acute IHR 22\n", + "dtype: int64" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "53f0b8ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "States Affected 37\n", + "No. of Cases (Lab Confirmed) 37\n", + "No. of Cases (on admission) 33\n", + "No. Discharged 37\n", + "No. of Deaths 30\n", + "dtype: int64" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "6f484eb5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Year 7\n", + "Q1 7\n", + "Q2 7\n", + "Q3 7\n", + "Q4 7\n", + "dtype: int64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RealGDP.nunique()" + ] + }, + { + "cell_type": "markdown", + "id": "0b06d036", + "metadata": {}, + "source": [ + "# Task 2 - View the data\n", + "Obtain basic information about the data using the head() and info() method." + ] + }, + { + "cell_type": "markdown", + "id": "5c63dae6", + "metadata": {}, + "source": [ + "# Viewing the separate external data and NCDC's data: Obtaining basic information about the data using the head() and info() method." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "540f2dee", + "metadata": {}, + "outputs": [], + "source": [ + "covid_external = pd.read_csv('covid_external.csv')\n", + "Budget_data = pd.read_csv('Budget data.csv')\n", + "RealGDP = pd.read_csv('RealGDP.csv')\n", + "covidnig = pd.read_csv('covidnig.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "4cba08be", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
0FCTNorth Central48650000.30.00.90.40.60.90.60.20.79
1PlateauNorth Central47660000.40.50.40.80.30.30.50.30.93
2KwaraNorth Central35240000.30.40.30.20.40.20.60.70.93
3NassarawaNorth Central27830000.10.30.50.90.00.10.60.50.85
4NigerNorth Central62600000.60.00.60.30.70.10.80.80.84
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" + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 FCT North Central 4865000 0.3 0.0 \n", + "1 Plateau North Central 4766000 0.4 0.5 \n", + "2 Kwara North Central 3524000 0.3 0.4 \n", + "3 Nassarawa North Central 2783000 0.1 0.3 \n", + "4 Niger North Central 6260000 0.6 0.0 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.9 0.4 0.6 0.9 \n", + "1 0.4 0.8 0.3 0.3 \n", + "2 0.3 0.2 0.4 0.2 \n", + "3 0.5 0.9 0.0 0.1 \n", + "4 0.6 0.3 0.7 0.1 \n", + "\n", + " Socio-Economic Transport Availability Acute IHR \n", + "0 0.6 0.2 0.79 \n", + "1 0.5 0.3 0.93 \n", + "2 0.6 0.7 0.93 \n", + "3 0.6 0.5 0.85 \n", + "4 0.8 0.8 0.84 " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "520ff38f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object \n", + " 1 region 37 non-null object \n", + " 2 Population 37 non-null int64 \n", + " 3 Overall CCVI Index 37 non-null float64\n", + " 4 Age 37 non-null float64\n", + " 5 Epidemiological 37 non-null float64\n", + " 6 Fragility 37 non-null float64\n", + " 7 Health System 37 non-null float64\n", + " 8 Population Density 37 non-null float64\n", + " 9 Socio-Economic 37 non-null float64\n", + " 10 Transport Availability 37 non-null float64\n", + " 11 Acute IHR 37 non-null float64\n", + "dtypes: float64(9), int64(1), object(2)\n", + "memory usage: 3.6+ KB\n" + ] + } + ], + "source": [ + "covid_external.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "4c915f29", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesInitial_budget (Bn)Revised_budget (Bn)
0Abia136.60102.70
1Adamawa183.30139.31
2Akwa-Ibom597.73366.00
3Anambra137.10112.80
4Bauchi167.20128.00
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" + ], + "text/plain": [ + " states Initial_budget (Bn) Revised_budget (Bn)\n", + "0 Abia 136.60 102.70\n", + "1 Adamawa 183.30 139.31\n", + "2 Akwa-Ibom 597.73 366.00\n", + "3 Anambra 137.10 112.80\n", + "4 Bauchi 167.20 128.00" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Budget_data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "47bf9836", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 3 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object \n", + " 1 Initial_budget (Bn) 37 non-null float64\n", + " 2 Revised_budget (Bn) 37 non-null float64\n", + "dtypes: float64(2), object(1)\n", + "memory usage: 1016.0+ bytes\n" + ] + } + ], + "source": [ + "Budget_data.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "ac2af73e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearQ1Q2Q3Q4
0201415438679.5016084622.3117479127.5818150356.45
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3201715797965.8316334719.2717760228.1718598067.07
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" + ], + "text/plain": [ + " Year Q1 Q2 Q3 Q4\n", + "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", + "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", + "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", + "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", + "4 2018 16096654.19 16580508.07 18081342.10 19041437.59" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RealGDP.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "b7496c7f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 7 entries, 0 to 6\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Year 7 non-null int64 \n", + " 1 Q1 7 non-null float64\n", + " 2 Q2 7 non-null float64\n", + " 3 Q3 7 non-null float64\n", + " 4 Q4 7 non-null float64\n", + "dtypes: float64(4), int64(1)\n", + "memory usage: 408.0 bytes\n" + ] + } + ], + "source": [ + "RealGDP.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "140000d9", + "metadata": {}, + "outputs": [], + "source": [ + "#Removing coma from the data values from NCDC website\n", + "covidnig.replace(',','', regex=True, inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "a79d0775", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
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" + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 26708 2435 \n", + "1 FCT 9627 2840 \n", + "2 Kaduna 4504 579 \n", + "3 Plateau 4262 280 \n", + "4 Oyo 3788 368 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 24037 236 \n", + "1 6694 93 \n", + "2 3877 48 \n", + "3 3948 34 \n", + "4 3374 46 " + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "3aba9131", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 States Affected 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", + " 2 No. of Cases (on admission) 37 non-null object\n", + " 3 No. Discharged 37 non-null object\n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(1), object(4)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "covidnig.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "41d9cc75", + "metadata": {}, + "outputs": [], + "source": [ + "# Converting NCDC's data into appropriate data type (from object to int)\n", + "newcovidnig = covidnig[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", + "covidnig[newcovidnig] = covidnig[newcovidnig].apply(pd.to_numeric,errors='coerce')" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "24c38b3c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 States Affected 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null int64 \n", + " 2 No. of Cases (on admission) 37 non-null int64 \n", + " 3 No. Discharged 37 non-null int64 \n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(4), object(1)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "# Checking: conversion is successful\n", + "covidnig.info()" + ] + }, + { + "cell_type": "markdown", + "id": "37f9ebed", + "metadata": {}, + "source": [ + "# Task 3 - Data Cleaning and Preparation" + ] + }, + { + "cell_type": "markdown", + "id": "e20024dc", + "metadata": {}, + "source": [ + "From the information obtained above, you will need to fix the data format.\n", + "Examples:\n", + "\n", + ">Convert to appropriate data type.\n", + ">Rename the columns of the scraped data.\n", + ">Remove comma(,) in numerical data\n", + ">Extract daily data for Nigeria from the Global daily cases data" + ] + }, + { + "cell_type": "markdown", + "id": "df15f68f", + "metadata": {}, + "source": [ + "TODO A - Clean the scraped data" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "80bead0f", + "metadata": {}, + "outputs": [], + "source": [ + "#Data Cleaning and Preparation: Clean the scraped data\n", + "#Renaming columns of dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "fb588afb", + "metadata": {}, + "outputs": [], + "source": [ + "#Renaming of columns of merged dataframe\n", + "combined_df.rename(columns = {'states':'State', 'region': 'Region', 'Initial_budget (Bn)': 'Initial Budget in Billion', 'Revised_budget (Bn)': 'Revised Budget in Billion', 'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths', 'Q1': 'First Quarter', 'Q2': 'Second Quarter', 'Q3': 'Third Quarter', 'Q4':'Fourth Quarter'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "fd6cac5c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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StateRegionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised Budget in BillionNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of DeathsYearFirst QuarterSecond QuarterThird QuarterFourth Quarter
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " State Region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic ... Revised Budget in Billion \\\n", + "0 0.2 ... 102.70 \n", + "1 0.7 ... 139.31 \n", + "2 0.5 ... NaN \n", + "3 NaN ... 366.00 \n", + "4 0.0 ... 112.80 \n", + "\n", + " Number of Lab Confirmed Cases Number of Cases on Admission \\\n", + "0 980.0 25.0 \n", + "1 355.0 96.0 \n", + "2 395.0 44.0 \n", + "3 NaN NaN \n", + "4 299.0 6.0 \n", + "\n", + " Number of Cases Discharged Number of Deaths Year First Quarter \\\n", + "0 945.0 10.0 NaN NaN \n", + "1 238.0 21.0 NaN NaN \n", + "2 342.0 9.0 NaN NaN \n", + "3 NaN NaN NaN NaN \n", + "4 274.0 19.0 NaN NaN \n", + "\n", + " Second Quarter Third Quarter Fourth Quarter \n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 NaN NaN NaN \n", + "4 NaN NaN NaN \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checking if renamig is successful\n", + "combined_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "2e595642", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "State object\n", + "Region object\n", + "Population float64\n", + "Overall CCVI Index float64\n", + "Age float64\n", + "Epidemiological float64\n", + "Fragility float64\n", + "Health System float64\n", + "Population Density float64\n", + "Socio-Economic float64\n", + " Transport Availability float64\n", + "Acute IHR float64\n", + "Initial Budget in Billion float64\n", + "Revised Budget in Billion float64\n", + "Number of Lab Confirmed Cases float64\n", + "Number of Cases on Admission float64\n", + "Number of Cases Discharged float64\n", + "Number of Deaths float64\n", + "Year float64\n", + "First Quarter float64\n", + "Second Quarter float64\n", + "Third Quarter float64\n", + "Fourth Quarter float64\n", + "dtype: object" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checking data tyoes in columns of merged dataframe\n", + "combined_df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "37941bb4", + "metadata": {}, + "outputs": [], + "source": [ + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "a3831d28", + "metadata": {}, + "outputs": [], + "source": [ + "# Saved global data from John Hopkin's repository" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "dd04542b", + "metadata": {}, + "outputs": [], + "source": [ + "# Saved global data from John Hopkin's repository\n", + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "928f0f66", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
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1NaNAlbania41.15330020.168300000000...321345321804322125322837323282323829325241325736326077326181
2NaNAlgeria28.0339001.659600000000...269008269141269269269381269473269556269650269731269805269894
3NaNAndorra42.5063001.521800000000...45899458994589945899459754597545975459754597545975
4NaNAngola-11.20270017.873900000000...102636102636102636102636102636102636102636102636102636102636
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200Cook IslandsNew Zealand-21.236700-159.777700000000...6209620962406265626562656265626562656265
201NaNNew Zealand-40.900600174.886000000000...1687705169126116962391700900170559717095411712957171516517180091721836
202NaNNicaragua12.865416-85.207229000000...14872148721487214872148991489914899148991489914899
203NaNNiger17.6077898.081666000000...9132913291399139915791579183918391839203
204NaNNigeria9.0820008.675300000000...262520262520262520262664262664262748262748262912262912262912
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" + ], + "text/plain": [ + " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", + "0 NaN Afghanistan 33.939110 67.709953 0 0 \n", + "1 NaN Albania 41.153300 20.168300 0 0 \n", + "2 NaN Algeria 28.033900 1.659600 0 0 \n", + "3 NaN Andorra 42.506300 1.521800 0 0 \n", + "4 NaN Angola -11.202700 17.873900 0 0 \n", + ".. ... ... ... ... ... ... \n", + "200 Cook Islands New Zealand -21.236700 -159.777700 0 0 \n", + "201 NaN New Zealand -40.900600 174.886000 0 0 \n", + "202 NaN Nicaragua 12.865416 -85.207229 0 0 \n", + "203 NaN Niger 17.607789 8.081666 0 0 \n", + "204 NaN Nigeria 9.082000 8.675300 0 0 \n", + "\n", + " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", + "0 0 0 0 0 ... 188820 189045 189343 \n", + "1 0 0 0 0 ... 321345 321804 322125 \n", + "2 0 0 0 0 ... 269008 269141 269269 \n", + "3 0 0 0 0 ... 45899 45899 45899 \n", + "4 0 0 0 0 ... 102636 102636 102636 \n", + ".. ... ... ... ... ... ... ... ... \n", + "200 0 0 0 0 ... 6209 6209 6240 \n", + "201 0 0 0 0 ... 1687705 1691261 1696239 \n", + "202 0 0 0 0 ... 14872 14872 14872 \n", + "203 0 0 0 0 ... 9132 9132 9139 \n", + "204 0 0 0 0 ... 262520 262520 262520 \n", + "\n", + " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", + "0 189477 189710 190010 190254 190435 190643 191040 \n", + "1 322837 323282 323829 325241 325736 326077 326181 \n", + "2 269381 269473 269556 269650 269731 269805 269894 \n", + "3 45899 45975 45975 45975 45975 45975 45975 \n", + "4 102636 102636 102636 102636 102636 102636 102636 \n", + ".. ... ... ... ... ... ... ... \n", + "200 6265 6265 6265 6265 6265 6265 6265 \n", + "201 1700900 1705597 1709541 1712957 1715165 1718009 1721836 \n", + "202 14872 14899 14899 14899 14899 14899 14899 \n", + "203 9139 9157 9157 9183 9183 9183 9203 \n", + "204 262664 262664 262748 262748 262912 262912 262912 \n", + "\n", + "[205 rows x 948 columns]" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#viewing basic information from John Hopkin's global data\n", + "JH_confirmed_global.head(n=205)" + ] + }, + { + "cell_type": "markdown", + "id": "76f529ac", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "id": "4e1a79f9", + "metadata": {}, + "source": [ + "TODO B - Get a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", + "\n", + "TODO C - Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases\n", + "\n", + "TODO D - Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "8ea0ac17", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", + "# The data frames will be restructured to make data accessible and extractable. We restructure dataframe using pd.melt() and drop() method\n", + "JH_Daily_confirmed = pd.melt(JH_confirmed_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Confirmed Cases')" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "b7c7345b", + "metadata": {}, + "outputs": [], + "source": [ + "# Still converting data tpe: Date column values is to be converted into standard Datetime format\n", + "JH_Daily_confirmed['Date'] = pd.to_datetime(JH_Daily_confirmed['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "0f5ba3ca", + "metadata": {}, + "outputs": [], + "source": [ + "#delete other columns aside date and country/region using the drop()method\n", + "JH_Daily_Confirmeddf= JH_Daily_confirmed.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "c1f8e51e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0Afghanistan2020-01-220
1Albania2020-01-220
2Algeria2020-01-220
3Andorra2020-01-220
4Angola2020-01-220
............
269035West Bank and Gaza2022-08-22698384
269036Winter Olympics 20222022-08-22535
269037Yemen2022-08-2211915
269038Zambia2022-08-22332527
269039Zimbabwe2022-08-22256628
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269040 rows × 3 columns

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" + ], + "text/plain": [ + " Country/Region Date Confirmed Cases\n", + "0 Afghanistan 2020-01-22 0\n", + "1 Albania 2020-01-22 0\n", + "2 Algeria 2020-01-22 0\n", + "3 Andorra 2020-01-22 0\n", + "4 Angola 2020-01-22 0\n", + "... ... ... ...\n", + "269035 West Bank and Gaza 2022-08-22 698384\n", + "269036 Winter Olympics 2022 2022-08-22 535\n", + "269037 Yemen 2022-08-22 11915\n", + "269038 Zambia 2022-08-22 332527\n", + "269039 Zimbabwe 2022-08-22 256628\n", + "\n", + "[269040 rows x 3 columns]" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking if the formatting of dataframe for global confirmed Cases is as expected\n", + "JH_Daily_Confirmeddf" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "3906e952", + "metadata": {}, + "outputs": [], + "source": [ + "#Applying formatting tools used for global confirmed cases to Dataframe of global recoveries and Deaths\n", + "\n", + "JH_Daily_Recovery = pd.melt(JH_recovered_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Recovered Cases')\n", + "JH_Daily_Recovery['Date'] = pd.to_datetime(JH_Daily_Recovery['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "f2abb71a", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Recoverydf= JH_Daily_Recovery.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "e230f423", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Deaths = pd.melt(JH_deaths_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Death Cases')\n", + "JH_Daily_Deaths['Date'] = pd.to_datetime(JH_Daily_Deaths['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "057b66ac", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Deathsdf= JH_Daily_Deaths.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "b0836c34", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "e88a3fda", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_confirmed[JH_Daily_confirmed['Country/Region'] == 'Nigeria']" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "2addb352", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Confirmed_Nigeriadf= Nigeria[['Date', 'Confirmed Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "d8573def", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Date Recovered Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 0\n", + "940 2022-08-19 0\n", + "941 2022-08-20 0\n", + "942 2022-08-21 0\n", + "943 2022-08-22 0\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Recovery_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "e1dd3a3d", + "metadata": {}, + "outputs": [], + "source": [ + "#Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "f77a30c0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recovered Cases 39492087\n", + "dtype: int64" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Getting total recovered cases in Nigeria upto Aug. 2022\n", + "JH_Daily_Recovery_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "d1ad4519", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_Deaths[JH_Daily_Deaths['Country/Region'] == 'Nigeria']\n", + "JH_Daily_DeathsNigeriadf= Nigeria[['Date', 'Death Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "b411a9c2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Death Cases 1774393\n", + "dtype: int64" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Getting total Deaths status in Nigeria upto Aug. 2022\n", + "JH_Daily_DeathsNigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "b8aaf40a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath Cases
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12020-01-230
22020-01-240
32020-01-250
42020-01-260
.........
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944 rows × 2 columns

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" + ], + "text/plain": [ + " Date Death Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 3147\n", + "940 2022-08-19 3147\n", + "941 2022-08-20 3147\n", + "942 2022-08-21 3147\n", + "943 2022-08-22 3147\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_DeathsNigeriadf" + ] + }, + { + "cell_type": "markdown", + "id": "99c3f031", + "metadata": {}, + "source": [ + "# Task 4 - Analysis" + ] + }, + { + "cell_type": "markdown", + "id": "7447454a", + "metadata": {}, + "source": [ + "Here you will perform some analyses on the datasets. You are welcome to communicate findings in charts and summary.\n", + "We have included a few TODOs to help with your analysis. However, do not let this limit your approach, feel free to include more, and be sure to support your findings with chart and summary" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c1db4c7a", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "995657f6", + "metadata": {}, + "source": [ + "TODO A - Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory test" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "15a28b4c", + "metadata": {}, + "outputs": [], + "source": [ + "# To Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory \n", + "#First renaming columns from original dataframe fro link (data cleaning)\n", + "covidnig\n", + "covidnig.rename(columns = {'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "9a1b289e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
10Ondo179362169041
11Katsina1405214116724
12Enugu137634132121
13Kwara1296171109431
14Gombe116418395031
15Ebonyi109124103730
16Abia9802594510
17Osun9792093722
18Bauchi89710877514
19Borno7783770536
20Imo7346166112
21Nasarawa60026232513
22Benue5154446011
23Bayelsa4975542121
24Ekiti405243756
25Akwa Ibom395443429
26Jigawa3865731811
27Niger3816930012
28Adamawa3559623821
29Anambra299627419
30Sokoto2284017117
31Taraba203191777
32Yobe164331238
33Kebbi14351308
34Cross River9318111
35Zamfara791735
36Kogi5032
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" + ], + "text/plain": [ + " States Affected Number of Lab Confirmed Cases \\\n", + "0 Lagos 26708 \n", + "1 FCT 9627 \n", + "2 Kaduna 4504 \n", + "3 Plateau 4262 \n", + "4 Oyo 3788 \n", + "5 Rivers 3279 \n", + "6 Edo 2768 \n", + "7 Ogun 2382 \n", + "8 Kano 2032 \n", + "9 Delta 1843 \n", + "10 Ondo 1793 \n", + "11 Katsina 1405 \n", + "12 Enugu 1376 \n", + "13 Kwara 1296 \n", + "14 Gombe 1164 \n", + "15 Ebonyi 1091 \n", + "16 Abia 980 \n", + "17 Osun 979 \n", + "18 Bauchi 897 \n", + "19 Borno 778 \n", + "20 Imo 734 \n", + "21 Nasarawa 600 \n", + "22 Benue 515 \n", + "23 Bayelsa 497 \n", + "24 Ekiti 405 \n", + "25 Akwa Ibom 395 \n", + "26 Jigawa 386 \n", + "27 Niger 381 \n", + "28 Adamawa 355 \n", + "29 Anambra 299 \n", + "30 Sokoto 228 \n", + "31 Taraba 203 \n", + "32 Yobe 164 \n", + "33 Kebbi 143 \n", + "34 Cross River 93 \n", + "35 Zamfara 79 \n", + "36 Kogi 5 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", + "0 2435 24037 236 \n", + "1 2840 6694 93 \n", + "2 579 3877 48 \n", + "3 280 3948 34 \n", + "4 368 3374 46 \n", + "5 232 2987 60 \n", + "6 52 2603 113 \n", + "7 174 2175 33 \n", + "8 198 1778 56 \n", + "9 57 1737 49 \n", + "10 62 1690 41 \n", + "11 214 1167 24 \n", + "12 34 1321 21 \n", + "13 171 1094 31 \n", + "14 183 950 31 \n", + "15 24 1037 30 \n", + "16 25 945 10 \n", + "17 20 937 22 \n", + "18 108 775 14 \n", + "19 37 705 36 \n", + "20 61 661 12 \n", + "21 262 325 13 \n", + "22 44 460 11 \n", + "23 55 421 21 \n", + "24 24 375 6 \n", + "25 44 342 9 \n", + "26 57 318 11 \n", + "27 69 300 12 \n", + "28 96 238 21 \n", + "29 6 274 19 \n", + "30 40 171 17 \n", + "31 19 177 7 \n", + "32 33 123 8 \n", + "33 5 130 8 \n", + "34 1 81 11 \n", + "35 1 73 5 \n", + "36 0 3 2 " + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "7dbfc744", + "metadata": {}, + "outputs": [], + "source": [ + "#Sorting top 10 states with highest lab confirmed cases by using df.sort_values()\n", + "\n", + "covidnig_lab10confirmed = covidnig.sort_values('Number of Lab Confirmed Cases', ascending = False)\n", + "covidnig_lab10confirmed = covidnig_lab10confirmed.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "83f35642", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
\n", + "
" + ], + "text/plain": [ + " States Affected Number of Lab Confirmed Cases \\\n", + "0 Lagos 26708 \n", + "1 FCT 9627 \n", + "2 Kaduna 4504 \n", + "3 Plateau 4262 \n", + "4 Oyo 3788 \n", + "5 Rivers 3279 \n", + "6 Edo 2768 \n", + "7 Ogun 2382 \n", + "8 Kano 2032 \n", + "9 Delta 1843 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", + "0 2435 24037 236 \n", + "1 2840 6694 93 \n", + "2 579 3877 48 \n", + "3 280 3948 34 \n", + "4 368 3374 46 \n", + "5 232 2987 60 \n", + "6 52 2603 113 \n", + "7 174 2175 33 \n", + "8 198 1778 56 \n", + "9 57 1737 49 " + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking top 10 states\n", + "covidnig_lab10confirmed" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "2d8a31e5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting top 10 states with corresponding confirmed cases\n", + "Top_10_covidngcases = sns.barplot(x='Number of Lab Confirmed Cases', y='States Affected', data=covidnig_lab10confirmed, color = 'blue').set_title('Top 10 covid cases in Nigerian States')\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bb27389", + "metadata": {}, + "source": [ + "Lagos with the highest covid case and Delta is with the lowest." + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "b92dd2a0", + "metadata": {}, + "outputs": [], + "source": [ + "#Generating a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values\n", + "covidnig_10Discharged = covidnig.sort_values('Number of Cases Discharged', ascending = False)\n", + "covidnig_10Discharged = covidnig_10Discharged.iloc[:10,]" + ] + }, + { + "cell_type": "markdown", + "id": "8f9681e5", + "metadata": {}, + "source": [ + "TODO B - Generate a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "a35d2c2c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "covid_disch_plot = sns.barplot(x='Number of Cases Discharged', y='States Affected', data=covidnig_10Discharged, color = 'blue').set_title('Top 10 covid Discharges')\n" + ] + }, + { + "cell_type": "markdown", + "id": "0ad7bc8a", + "metadata": {}, + "source": [ + "Lagos showing the highest number of discharges is because it has a high population figure, hihest number of confirmed cases and better health management system." + ] + }, + { + "cell_type": "markdown", + "id": "4fdb5011", + "metadata": {}, + "source": [ + "TODO D - Plot the top 10 Death cases" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "5d9f17bb", + "metadata": {}, + "outputs": [], + "source": [ + "#Plotting the top 10 Death cases" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "ab31af8a", + "metadata": {}, + "outputs": [], + "source": [ + "#Generating a plot that shows the Top 10 states in terms of death cases. Hint - Sort the values\n", + "covidnig_10Deaths = covidnig.sort_values('Number of Deaths', ascending = False)\n", + "covidnig_10Deaths = covidnig_10Deaths.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "05873dbe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "covidngdeaths_plot = sns.barplot(x='Number of Deaths', y='States Affected', data=covidnig_10Deaths, color = 'blue').set_title('Highest Death Cases')\n" + ] + }, + { + "cell_type": "markdown", + "id": "204b639c", + "metadata": {}, + "source": [ + "Lagos having the highest death cases also due to its high population and number of confirmed cases." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8dea2020", + "metadata": {}, + "outputs": [], + "source": [ + "#Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "de574c85", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Lat 9.0820\n", + "Long 8.6753\n", + "1/22/20 0.0000\n", + "1/23/20 0.0000\n", + "1/24/20 0.0000\n", + " ... \n", + "8/18/22 262748.0000\n", + "8/19/22 262748.0000\n", + "8/20/22 262912.0000\n", + "8/21/22 262912.0000\n", + "8/22/22 262912.0000\n", + "Name: Nigeria, Length: 946, dtype: float64" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#extracting data for confirmed cases in Nigeria\n", + "confirmed_nig = JH_confirmed_global.groupby('Country/Region').sum().loc['Nigeria']\n", + "confirmed_nig" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "eb9f4215", + "metadata": {}, + "outputs": [], + "source": [ + "TotalConfirmed=JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "7658da46", + "metadata": {}, + "outputs": [], + "source": [ + "TotalRecoveries=JH_Daily_Recovery_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "9a3442af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recovered Cases 39492087\n", + "dtype: int64" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalRecoveries" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "1a7e95d0", + "metadata": {}, + "outputs": [], + "source": [ + "TotalDeaths = JH_Daily_Deathsdf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "1b6acec0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Country/Region AfghanistanAlbaniaAlgeriaAndorraAngolaAntarcti...\n", + "Death Cases 3210225599\n", + "dtype: object" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalDeaths" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "30b584e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Confirmed Cases 135384240\n", + "dtype: int64" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalConfirmed" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "4bb78c77", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "Totaldeaths=JH_Daily_Deathsdf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "b03e0e6d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
total
Confirmed Cases134858416
Recovered Cases39492087
Death Cases1768099
\n", + "
" + ], + "text/plain": [ + " total\n", + "Confirmed Cases 134858416\n", + "Recovered Cases 39492087\n", + "Death Cases 1768099" + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Getting a dataframe for total daily cases\n", + "z = np.array([134858416, 39492087, 1768099])\n", + "df2 = pd.DataFrame(z, columns=['total'], index=[\"Confirmed Cases\", \"Recovered Cases\", \"Death Cases\"])\n", + "df2" + ] + }, + { + "cell_type": "markdown", + "id": "322745fe", + "metadata": {}, + "source": [ + "TODO E - Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "c134d84c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Confirmed Cases')" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for confirmed cases in Nigeria using seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Confirmed_Nigeriadf , x = 'Date', y = 'Confirmed Cases').set_title('Daily Total Confirmed Cases')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9b4c5b23", + "metadata": {}, + "outputs": [], + "source": [ + "The apparent increase in daily confirmed cases are cummulative values" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "fb51b47b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Recoveries')" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for Recovered cases in Nigeria using seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Recovery_Nigeriadf , x = 'Date', y = 'Recovered Cases').set_title('Daily Total Recoveries')" + ] + }, + { + "cell_type": "markdown", + "id": "d65ffa95", + "metadata": {}, + "source": [ + "Increased daily recovery cases were recorded. These records again were cummulative values. No record of recovery in Nigeria was recorded from 2021-09 because only death cases were recorded as cummulative lac confirmed cases increased as time of data retrieval in August 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "b7211359", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Deaths')" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for death cases in Nigeria using a seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Deathsdf , x = 'Date', y = 'Death Cases').set_title('Daily Total Deaths')" + ] + }, + { + "cell_type": "markdown", + "id": "906c6d18", + "metadata": {}, + "source": [ + "Record for daily total deaths were cummulatively increasing as at the time of data retrieval in August 2022." + ] + }, + { + "cell_type": "markdown", + "id": "9a0ed991", + "metadata": {}, + "source": [ + "TODO F -\n", + "\n", + ">Determine the daily infection rate, you can use the Pandas diff method to find the derivate of the total cases.\n", + ">Generate a line plot for the above" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "d57cb913", + "metadata": {}, + "outputs": [], + "source": [ + "#Determine the daily infection rate, using the Pandas diff method to find the derivate of the total cases.\n", + "JH_Daily_Confirmed_Nigeriadf['Infection Rate'] = JH_Daily_Confirmed_Nigeriadf['Confirmed Cases'].diff()" + ] + }, + { + "cell_type": "markdown", + "id": "f8d51dae", + "metadata": {}, + "source": [ + "TODO J -\n", + "\n", + ">Provide more analyses by extending TODO G & H. Meaning, determine relationships between more features.\n", + ">Provide a detailed summary of your findings." + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "2e78df9a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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\n", + "
" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "0 2020-01-22 0 NaN\n", + "1 2020-01-23 0 0.0\n", + "2 2020-01-24 0 0.0\n", + "3 2020-01-25 0 0.0\n", + "4 2020-01-26 0 0.0\n", + ".. ... ... ...\n", + "939 2022-08-18 262748 84.0\n", + "940 2022-08-19 262748 0.0\n", + "941 2022-08-20 262912 164.0\n", + "942 2022-08-21 262912 0.0\n", + "943 2022-08-22 262912 0.0\n", + "\n", + "[944 rows x 3 columns]" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Checking if new data has been created\n", + "JH_Daily_Confirmed_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "edf41ce5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Generating a line plot for daily infection rate in Nigeria from global data\n", + "plt.figure(figsize = (20,10))\n", + "sns.lineplot(x = 'Date', y = 'Infection Rate', data = JH_Daily_Confirmed_Nigeriadf)" + ] + }, + { + "cell_type": "markdown", + "id": "cae50a52", + "metadata": {}, + "source": [ + "TODO G -\n", + "\n", + ">Calculate maximum infection rate for a day (Number of new cases)\n", + ">Find the date" + ] + }, + { + "cell_type": "markdown", + "id": "486395e9", + "metadata": {}, + "source": [ + "#Calculating maximum infection rate for a day (Number of new cases)\n", + "#Find the date\n", + "Highest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].max()" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "8baf6f59", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6158.0" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Highest_infection_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "d0baa6e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateConfirmed CasesInfection Rate
7002021-12-222314136158.0
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" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "700 2021-12-22 231413 6158.0" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == 6158.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "fe6fc629", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-30.0" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Calculating minimum infection rate for a day (Number of new cases)\n", + "Lowest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].min()\n", + "Lowest_infection_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "39a3618a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateConfirmed CasesInfection Rate
8122022-04-13255633-30.0
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" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "812 2022-04-13 255633 -30.0" + ] + }, + "execution_count": 114, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date for minimum infection rate\n", + "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == -30.0]" + ] + }, + { + "cell_type": "markdown", + "id": "80ee8fd3", + "metadata": {}, + "source": [ + "TODO H - Determine the relationship between the external dataset and the NCDC COVID-19 dataset. Here you will generate a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. From the graph, explain your observation.\n", + "Steps\n", + "\n", + ">Combine the two dataset together on a common column(states)\n", + ">Create a new dataframe for plotting. This DataFrame will contain top 10 states in terms of confirmed cases i.e sort by confirmed cases. Hint: Check out Pandas nlargest function. This tutorial can help out\n", + ">Plot both variable on the same axis. Check out this tutorial" + ] + }, + { + "cell_type": "markdown", + "id": "d06167ae", + "metadata": {}, + "source": [ + "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset. \n", + "# Will generate and explain a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. " + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "a9211792", + "metadata": {}, + "outputs": [], + "source": [ + "#Combine the two dataset together on a common column(states)\n", + "NCDC_external = covidnig_rn.merge(covid_external, on = 'states', how = 'inner')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "609028d1", + "metadata": {}, + "outputs": [], + "source": [ + "#Obtain top 10 Lab confirmed cases fro external data using df.nlargest()\n", + "Top10_NCDC_external = NCDC_external.nlargest(10, 'No. of Cases (Lab Confirmed)')" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "9582ba5f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
16Abia980.025.0945.010South East41900000.20.90.60.10.30.90.20.01.14
17Osun979.020.0937.022South West52520000.00.70.40.40.00.80.10.21.06
18Bauchi897.0108.0775.014North East72700000.80.10.20.80.80.20.80.80.85
19Borno778.037.0705.036North East66510000.90.30.11.01.00.10.70.90.89
20Imo734.061.0661.012South East60180000.41.00.90.00.40.90.40.01.12
21Benue515.044.0460.011North Central63760000.50.70.50.70.40.40.30.50.91
22Bayelsa497.055.0421.021South South26060000.50.80.60.10.90.50.20.71.00
23Ekiti405.024.0375.06South West35930000.30.80.30.50.20.80.10.41.03
24Akwa Ibom395.044.0342.09South East60930000.70.80.70.60.80.80.50.11.01
25Jigawa386.057.0318.011North West64350000.90.40.00.70.60.50.90.80.92
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" + ], + "text/plain": [ + " states No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "16 Abia 980.0 25.0 \n", + "17 Osun 979.0 20.0 \n", + "18 Bauchi 897.0 108.0 \n", + "19 Borno 778.0 37.0 \n", + "20 Imo 734.0 61.0 \n", + "21 Benue 515.0 44.0 \n", + "22 Bayelsa 497.0 55.0 \n", + "23 Ekiti 405.0 24.0 \n", + "24 Akwa Ibom 395.0 44.0 \n", + "25 Jigawa 386.0 57.0 \n", + "\n", + " No. Discharged No. of Deaths region Population \\\n", + "16 945.0 10 South East 4190000 \n", + "17 937.0 22 South West 5252000 \n", + "18 775.0 14 North East 7270000 \n", + "19 705.0 36 North East 6651000 \n", + "20 661.0 12 South East 6018000 \n", + "21 460.0 11 North Central 6376000 \n", + "22 421.0 21 South South 2606000 \n", + "23 375.0 6 South West 3593000 \n", + "24 342.0 9 South East 6093000 \n", + "25 318.0 11 North West 6435000 \n", + "\n", + " Overall CCVI Index Age Epidemiological Fragility Health System \\\n", + "16 0.2 0.9 0.6 0.1 0.3 \n", + "17 0.0 0.7 0.4 0.4 0.0 \n", + "18 0.8 0.1 0.2 0.8 0.8 \n", + "19 0.9 0.3 0.1 1.0 1.0 \n", + "20 0.4 1.0 0.9 0.0 0.4 \n", + "21 0.5 0.7 0.5 0.7 0.4 \n", + "22 0.5 0.8 0.6 0.1 0.9 \n", + "23 0.3 0.8 0.3 0.5 0.2 \n", + "24 0.7 0.8 0.7 0.6 0.8 \n", + "25 0.9 0.4 0.0 0.7 0.6 \n", + "\n", + " Population Density Socio-Economic Transport Availability Acute IHR \n", + "16 0.9 0.2 0.0 1.14 \n", + "17 0.8 0.1 0.2 1.06 \n", + "18 0.2 0.8 0.8 0.85 \n", + "19 0.1 0.7 0.9 0.89 \n", + "20 0.9 0.4 0.0 1.12 \n", + "21 0.4 0.3 0.5 0.91 \n", + "22 0.5 0.2 0.7 1.00 \n", + "23 0.8 0.1 0.4 1.03 \n", + "24 0.8 0.5 0.1 1.01 \n", + "25 0.5 0.9 0.8 0.92 " + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Top10_NCDC_external" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "9a6421b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2-axis plotting to establish relationship between overal CCVI index and Lab confirmed cases \n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['No. of Cases (Lab Confirmed)'])\n", + "ax1.set_ylabel('No. of Cases (Lab Confirmed)')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'r-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='r')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('r')\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "bffcdf76", + "metadata": {}, + "source": [ + "Benue, Borno, Bayelsa, Ekiti, Akwa-Ibom and Jigawa all indicated inverse relationship between the No. of Cases (Lab Confirmed) and Overall CCVI Index i.e as Number of Cases (Lab Confirmed) decreased, Overall CCVI Index tended to increase across these states with Jigawa having the highest overall ccvi index but with lowest lab confirmed cases. For Abia, Osun, Imo, overall ccvi index were lower at higher confirmed lab csaes. Bauchi state showed that high number of confirmed cases was at par with its high overall ccvi index i.e the impact of covid crisis can be directly linked to number of confirmed cases. Inverse relationships for other states further suggests that impact of covid crisis is unconnected to number confirmed lab cases alone." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cafd22ea", + "metadata": {}, + "outputs": [], + "source": [ + "#Further Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "id": "729ce8f8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2-axis plotting to establish relationship between overal CCVI index and Socio-Economic index\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Socio-Economic'])\n", + "ax1.set_ylabel('Socio-Economic')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'g-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='g')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('g')" + ] + }, + { + "cell_type": "markdown", + "id": "749e0d26", + "metadata": {}, + "source": [ + "For the top 10 states, here we see some direct correlation between Socio-Economic indices and overall CCVI index in most states. Generally Overall CCVI index are higher than Socio-Economic indices as Osun and Bauchi and Jigawa. Osun state had the lowest and equal Socio-Economic indices and Overall CCV index. Jigawa had the highest and equal Socio-Economic index and Overall CCVI index. It can be infered that the impact of the covid crisis is generally higher and can be traced to Socio-Economic indices such as poverty, unemployment, e.t.c " + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "03328e1e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#2-axis plotting to establish relationship between overal CCVI index and Acute IHR Index.\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Acute IHR'])\n", + "ax1.set_ylabel('Acute IHR')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'y-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='y')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('y')" + ] + }, + { + "cell_type": "markdown", + "id": "ceca7d9a", + "metadata": {}, + "source": [ + "Inverse correlation between Overall CCVI index and Acute IHR were observed in all top 10 states. Abia, Osun, Imo and Ekiti states had lower Overall CCVI index with relatively higher Acute IHR. Abia had the highest Acute IHR index and Jigawa the lowest. Borno and Jigawa had the highest Overall CCVI index. Bauchi, Borno, Benue and Jigawa Sates have the higher Overall CCVI index with correspondingly lower Acute IHR index. Borno and Jigawa had the highest Overall CCVI index. Thses observation suggests that the impact of covid crisis cannot be traced to Acute IHR alone. " + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "id": "e2b86b77", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#2-axis plotting to establish relationship between overal CCVI index and Fragility index.\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Fragility'])\n", + "ax1.set_ylabel('Fragility')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'b-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='b')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('b')\n" + ] + }, + { + "cell_type": "markdown", + "id": "1a6aaf93", + "metadata": {}, + "source": [ + "Inverse correlation is observed between Fragility index and Overall CCVI index in almost all the top 10 states being considered here. While Osun, Benue and Ekiti all had lower Overall CCVI index with a correspondingly higher Fragility index, Abia, Bauchi, Imo, Bayelsa, Akwa Ibom and Jigawa states all had higher Overall CCVI index with correspondingly lower Fragility index. Only Borno showed equal Fragility and Overall CCVI indices. It is therefore inferable that Fragility alone can be responsible for the recorded impact of the covid crisis in Borno. This is however not applicable to other members of the top 10 states where Fragility alone may not be responsible for the recorded impact of covid crisis." + ] + }, + { + "cell_type": "markdown", + "id": "69fad07e", + "metadata": {}, + "source": [ + "TODO I - Determine the relationship between the external dataset and the NCDC COVID-19 dataset.\n", + "\n", + ">Here you will generate a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", + ">Provide a summary of your observation" + ] + }, + { + "cell_type": "markdown", + "id": "1b05f7bd", + "metadata": {}, + "source": [ + "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset.\n", + "\n", + "#Generating a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", + "\n", + "#Also will Provide a summary of your observation" + ] + }, + { + "cell_type": "code", + "execution_count": 355, + "id": "79236f5a", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Regression plot between Confirmed cases population density of top 10 states.\n", + "# regplot\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=Top10_NCDC_external).set_title('Confirmed Cases and Population Density')" + ] + }, + { + "cell_type": "markdown", + "id": "eaf3d582", + "metadata": {}, + "source": [ + "For the top ten (10) highest confirmed cases, it is generally observed that there is higher uniformity in distribution of confirmed cases across most population densities in states in Nigeria. However, a few outliers (exception to this case) exists: There are five occurences which are above the common distribution value across states and there are five occurences which are below the common distribution value in states of various population densities. " + ] + }, + { + "cell_type": "code", + "execution_count": 430, + "id": "6faecbce", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Regression Plot for Lab confirmed cases vs population density for all states\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=NCDC_external).set_title('Confirmed Cases and Population Density')" + ] + }, + { + "cell_type": "markdown", + "id": "2e596b41", + "metadata": {}, + "source": [ + "The general trend indicates that higher record of Lab confirmed cases is associated with higher population densities across all states. There are also many outlier cases that does not align with this trend i.e does not show that higher or lower confirmed cases connected with higher or lower pouplation densities." + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "96eb987a", + "metadata": {}, + "outputs": [], + "source": [ + "# Further analysis on other indicators: Recovery rate\n", + "JH_Daily_Recovery_Nigeriadf['Recovery Rate'] = JH_Daily_Recovery_Nigeriadf['Recovered Cases'].diff()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "a243f893", + "metadata": {}, + "outputs": [], + "source": [ + "# Further analysis on other indicators: Death rate\n", + "JH_Daily_DeathsNigeriadf['Death Rate'] = JH_Daily_DeathsNigeriadf['Death Cases'].diff()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "cb091148", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Recovery Rate in Nigeria')" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Further analysis on other indicators: lineplot of Recovery rate \n", + "plt.figure(figsize = (20,10))\n", + "sns.lineplot(x = 'Date', y = 'Recovery Rate', data = JH_Daily_Recovery_Nigeriadf).set_title('Daily Recovery Rate in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "544b3271", + "metadata": {}, + "source": [ + "The highest recorded rate of recovery of 11188.0 was made on 2020-08-04 while the lowest was -165208.0 on 2021-08-05." + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "d727aa53", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "11188.0" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Highest recovery rate\n", + "Highest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].max()\n", + "Highest_recovery_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "id": "dc8e69c8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateRecovered CasesRecovery Rate
1952020-08-043185111188.0
\n", + "
" + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "195 2020-08-04 31851 11188.0" + ] + }, + "execution_count": 141, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == 11188.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "e315403a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-165208.0" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lowest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].min()\n", + "Lowest_recovery_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "id": "f911ea90", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateRecovered CasesRecovery Rate
5612021-08-050-165208.0
\n", + "
" + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "561 2021-08-05 0 -165208.0" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "\n", + "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == -165208.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "a02231ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Death Rate in Nigeria')" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Further analysis on other indicators: Seaborn's lineplot Death rate\n", + "plt.figure(figsize = (15,5))\n", + "sns.lineplot(x = 'Date', y = 'Death Rate', data = JH_Daily_DeathsNigeriadf).set_title('Daily Death Rate in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "73b25263", + "metadata": {}, + "source": [ + "There was a spike in the death rate in Nigeria on 2021-08-29 with a record high of 93.0. The reason may be because that relaxed perventive measures with apparent ease of local restrictions. The lowest death rate of -4.0 was recorded on 2022-06-10 perhaps due to the success at global control the corona virus, especially in year 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "id": "c4596cbc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "93.0" + ] + }, + "execution_count": 145, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Highest_death_rate = JH_Daily_DeathsNigeriadf['Death Rate'].max()\n", + "Highest_death_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "id": "34e9077c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath CasesDeath Rate
5852021-08-29245493.0
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" + ], + "text/plain": [ + " Date Death Cases Death Rate\n", + "585 2021-08-29 2454 93.0" + ] + }, + "execution_count": 146, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] == 93.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "421c5844", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-4.0" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lowest_death_rate=JH_Daily_DeathsNigeriadf['Death Rate'].min()\n", + "Lowest_death_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "id": "e79bfc0f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath CasesDeath Rate
8702022-06-103144-4.0
\n", + "
" + ], + "text/plain": [ + " Date Death Cases Death Rate\n", + "870 2022-06-10 3144 -4.0" + ] + }, + "execution_count": 148, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] ==-4.0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55dfb36f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 150, + "id": "0d3d5777", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Regression\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=NCDC_external[\"Age\"], y=NCDC_external[\"No. of Cases (Lab Confirmed)\"], data=NCDC_external).set_title('Age and infection Pattern in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "143c42d6", + "metadata": {}, + "source": [ + "The above plot displays the association between number of confirmed cases and age of populations. Though it can be infered from the regression trend that susceptibility to the covid infections are generally associated with elderly group in populations, many outliers indicates that many other age categories also were captured in high and low number of recorded lab confirmed cases." + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "id": "75ed56aa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Age\", y=\"No. of Deaths\", data=NCDC_external).set_title('Age and Mortality in States in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "5baf5607", + "metadata": {}, + "source": [ + "Apparently, the number of deaths tends to be more in the younger population because they are more in the overall population compared to the elderly group. The trendline of the regression does however indicate that the number of deaths recorded among the elderly group is still significant because they are less in population compared to the younger populace. " + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "id": "6110820e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Bar plot for Mortality and Health Systems\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.barplot(x=\"Health System\", y=\"No. of Deaths\", data=NCDC_external).set_title('Mortality and Health System')" + ] + }, + { + "cell_type": "markdown", + "id": "bc686c82", + "metadata": {}, + "source": [ + "From the bar plots above, it is not clear whether health systems in states in Nigeria had any significant influence on the number of deaths recorded during the covid crisis." + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "id": "a0805c69", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Bar plot for Discharged cases and Health Systems\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.barplot(x=\"Health System\", y=\"No. Discharged\", data=NCDC_external).set_title('Discharged Cases and Health System')" + ] + }, + { + "cell_type": "markdown", + "id": "70262c2a", + "metadata": {}, + "source": [ + "Health systems of a country may influence the overall health impact of coroner virus. Higher system indices show that health crisis mangagemnt are more effective and therefore there are chances that there will be higher number of discharged cases.\n", + "So far from the barplot, it is inconclusive to say that the health system of Nigeria influenced the number of covid discharged cases in Nigeria. This is further highlighted by the large error bars which indicates higher measure of dispersion from any possible trend." + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "id": "76e60106", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Health System in States')" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting Health System in States\n", + "plt.figure(figsize = (8,12))\n", + "sns.barplot(x = NCDC_external['Health System'], y = NCDC_external['states'], data = NCDC_external, color = 'green').set_title('Health System in States')" + ] + }, + { + "cell_type": "markdown", + "id": "b3f88ce8", + "metadata": {}, + "source": [ + "TODO L -\n", + "Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", + "Steps\n", + "\n", + ">From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", + ">Hint: Use Pandas.melt to create your plot DataFrame\n", + ">Set your quarter legend to lower left.\n", + ">Using axhline, draw a horizontal line through the graph at the value of Q2 2020.\n", + ">Write out your observation\n" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "id": "81e7c755", + "metadata": {}, + "outputs": [], + "source": [ + "#Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", + "#From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", + "#Hint: Use Pandas.melt to create your plot DataFrame\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "id": "71e84fea", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearQ1Q2Q3Q4
0201415438679.5016084622.3117479127.5818150356.45
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2201615943714.5416218542.4117555441.6918213537.29
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4201816096654.1916580508.0718081342.1019041437.59
5201916434552.6516931434.8918494114.1719530000.00
6202016740000.0015890000.0017820000.000.00
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" + ], + "text/plain": [ + " Year Q1 Q2 Q3 Q4\n", + "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", + "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", + "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", + "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", + "4 2018 16096654.19 16580508.07 18081342.10 19041437.59\n", + "5 2019 16434552.65 16931434.89 18494114.17 19530000.00\n", + "6 2020 16740000.00 15890000.00 17820000.00 0.00" + ] + }, + "execution_count": 156, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Declaring the dtat set to be used\n", + "RealGDP" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "id": "dd8ef945", + "metadata": {}, + "outputs": [], + "source": [ + "#Restructuring the RealGDP dataframe for easy readability and accessibility\n", + "Q_RealGDP= pd.melt(RealGDP, id_vars=['Year'], var_name='Quarter', value_name='Amount in Billion(N)')" + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "id": "994c4a99", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearQuarterAmount in Billion(N)
02014Q115438679.50
12015Q116050601.38
22016Q115943714.54
32017Q115797965.83
42018Q116096654.19
52019Q116434552.65
62020Q116740000.00
72014Q216084622.31
82015Q216463341.91
92016Q216218542.41
102017Q216334719.27
112018Q216580508.07
122019Q216931434.89
132020Q215890000.00
142014Q317479127.58
152015Q317976234.59
162016Q317555441.69
172017Q317760228.17
182018Q318081342.10
192019Q318494114.17
202020Q317820000.00
212014Q418150356.45
222015Q418533752.07
232016Q418213537.29
242017Q418598067.07
252018Q419041437.59
262019Q419530000.00
272020Q40.00
\n", + "
" + ], + "text/plain": [ + " Year Quarter Amount in Billion(N)\n", + "0 2014 Q1 15438679.50\n", + "1 2015 Q1 16050601.38\n", + "2 2016 Q1 15943714.54\n", + "3 2017 Q1 15797965.83\n", + "4 2018 Q1 16096654.19\n", + "5 2019 Q1 16434552.65\n", + "6 2020 Q1 16740000.00\n", + "7 2014 Q2 16084622.31\n", + "8 2015 Q2 16463341.91\n", + "9 2016 Q2 16218542.41\n", + "10 2017 Q2 16334719.27\n", + "11 2018 Q2 16580508.07\n", + "12 2019 Q2 16931434.89\n", + "13 2020 Q2 15890000.00\n", + "14 2014 Q3 17479127.58\n", + "15 2015 Q3 17976234.59\n", + "16 2016 Q3 17555441.69\n", + "17 2017 Q3 17760228.17\n", + "18 2018 Q3 18081342.10\n", + "19 2019 Q3 18494114.17\n", + "20 2020 Q3 17820000.00\n", + "21 2014 Q4 18150356.45\n", + "22 2015 Q4 18533752.07\n", + "23 2016 Q4 18213537.29\n", + "24 2017 Q4 18598067.07\n", + "25 2018 Q4 19041437.59\n", + "26 2019 Q4 19530000.00\n", + "27 2020 Q4 0.00" + ] + }, + "execution_count": 158, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Q_RealGDP" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "id": "8c2fcdb6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 159, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# generating a seaborn's barplot using the GDP values for each year & quarters\n", + "plt.figure(figsize = (10,5))\n", + "sns.barplot(x = 'Year', y = 'Amount in Billion(N)',hue = 'Quarter', data =Q_RealGDP).set_title('Annual-Quaterly GDP')\n", + "plt.legend(loc = 'lower left')\n", + "plt.axhline(y =15890000.00, label ='Hline', color ='black')" + ] + }, + { + "cell_type": "markdown", + "id": "6fe3ce42", + "metadata": {}, + "source": [ + "The second quarter of 2020 (onset of impact of pandemic in Nigeria) was used to apply an axhline threashold and bench mark for comparison of dataset parameters. \n", + "\n", + "\n", + "There is no record for the fourth quarter's GDP in 2020 \n", + "\n", + "\n", + "Economic activities during the fourth quarter was virtually grounded hence there is no record of GDP for fourth quater of 2020. This also means that 2020 has the lowest combined GDP in the years under review. \n", + "\n", + "\n", + "The impact of covid 19 was huge on Nigeria's economy around the second quarter, in 2020, because that was when the highest cases of daily infection were recorded. \n", + "\n", + "\n", + "The negative effects of covid on the population and the control measures enforced by the government affected productivity, all compared to other years included in the review. " + ] + }, + { + "cell_type": "markdown", + "id": "dd00ceac", + "metadata": {}, + "source": [ + "Note: Do not limit your analysis to the provided TODOs. Perform more analyses e.g\n", + ">Check for more external dataset\n", + ">Ask more questions & find the right answers by exploring the data" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From 27fcb2472fa315573ffb69f93382220ec791ed18 Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Thu, 25 Aug 2022 04:11:46 -0700 Subject: [PATCH 03/19] Delete Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb --- ...-COVID-19-Data-Analysis-Using-Python.ipynb | 6142 ----------------- 1 file changed, 6142 deletions(-) delete mode 100644 Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb diff --git a/Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb b/Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb deleted file mode 100644 index 59930572..00000000 --- a/Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb +++ /dev/null @@ -1,6142 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "e4348434", - "metadata": {}, - "source": [ - "Data Collection: Web Scrapping" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "eb9c700f", - "metadata": {}, - "outputs": [], - "source": [ - "# Importing all libraries\n", - "import os\n", - "os.chdir('C:\\\\Users\\\\OCHAI ODEH\\\\Downloads\\\\Nigeriadata')\n", - "import requests\n", - "import numpy as np\n", - "import urllib.request\n", - "import pandas as pd\n", - "import csv\n", - "from bs4 import BeautifulSoup\n", - "import seaborn as sns\n", - "sns.set_style(\"darkgrid\")\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline\n", - "plt.style.use('fivethirtyeight') \n", - "import warnings\n", - "warnings.filterwarnings('ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "2fb9112c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# checking response of server to get url request\n", - "\n", - "url = 'https://covid19.ncdc.gov.ng'\n", - "status_code = requests.get(url)\n", - "status_code" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "416ceaad", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 102877 129 \n", - "1 FCT 29075 146 \n", - "2 Rivers 17680 262 \n", - "3 Kaduna 11467 11 \n", - "4 Oyo 10327 6 \n", - "5 Plateau 10292 18 \n", - "6 Edo 7821 102 \n", - "7 Ogun 5810 11 \n", - "8 Delta 5631 349 \n", - "9 Ondo 5173 315 \n", - "10 Kano 5169 41 \n", - "11 Akwa Ibom 4973 22 \n", - "12 Kwara 4680 441 \n", - "13 Osun 3311 36 \n", - "14 Gombe 3310 6 \n", - "15 Enugu 2952 13 \n", - "16 Anambra 2825 46 \n", - "17 Nasarawa 2777 393 \n", - "18 Imo 2655 7 \n", - "19 Ekiti 2447 46 \n", - "20 Katsina 2418 0 \n", - "21 Abia 2226 11 \n", - "22 Benue 2129 340 \n", - "23 Ebonyi 2064 28 \n", - "24 Bauchi 1979 8 \n", - "25 Borno 1629 5 \n", - "26 Taraba 1473 62 \n", - "27 Bayelsa 1363 10 \n", - "28 Adamawa 1203 68 \n", - "29 Niger 1150 132 \n", - "30 Cross River 873 3 \n", - "31 Sokoto 822 0 \n", - "32 Jigawa 669 2 \n", - "33 Yobe 638 4 \n", - "34 Kebbi 480 10 \n", - "35 Zamfara 375 0 \n", - "36 Kogi 5 0 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 101977 771 \n", - "1 28680 249 \n", - "2 17264 154 \n", - "3 11367 89 \n", - "4 10119 202 \n", - "5 10199 75 \n", - "6 7398 321 \n", - "7 5717 82 \n", - "8 5170 112 \n", - "9 4749 109 \n", - "10 5001 127 \n", - "11 4907 44 \n", - "12 4175 64 \n", - "13 3183 92 \n", - "14 3238 66 \n", - "15 2910 29 \n", - "16 2760 19 \n", - "17 2345 39 \n", - "18 2590 58 \n", - "19 2373 28 \n", - "20 2381 37 \n", - "21 2181 34 \n", - "22 1764 25 \n", - "23 2004 32 \n", - "24 1947 24 \n", - "25 1580 44 \n", - "26 1377 34 \n", - "27 1325 28 \n", - "28 1103 32 \n", - "29 998 20 \n", - "30 845 25 \n", - "31 794 28 \n", - "32 649 18 \n", - "33 625 9 \n", - "34 454 16 \n", - "35 366 9 \n", - "36 3 2 \n" - ] - } - ], - "source": [ - "# Reading NCDC data from url to a DataFrame object.\n", - "url = 'https://covid19.ncdc.gov.ng'\n", - "html = requests.get(url).content\n", - "df_list = pd.read_html(html)\n", - "\n", - "#Saving the data from link to object nig_covid_cases\n", - "nig_covid_cases = df_list[-1]\n", - "print(nig_covid_cases)\n", - "nig_covid_cases.to_csv('ncdcdata.csv')\n" - ] - }, - { - "cell_type": "markdown", - "id": "ee8f610a", - "metadata": {}, - "source": [ - "John Hopkins Data Repository\n", - "Here you will obtain data from the John Hopkins repository. Your task here involves saving the data from the GitHub repo link to DataFrame for further analysis. Find the links below." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "980b61f4", - "metadata": {}, - "outputs": [], - "source": [ - "#Saving the data from John Hopkin's repository's link into a DataFrame object\n", - "\n", - "confirmed_global= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", - "covid19_recovered_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", - "covid19_deaths_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "2e75c02c", - "metadata": {}, - "outputs": [], - "source": [ - "JH_confirmed_global=confirmed_global\n", - "JH_deaths_global=covid19_deaths_global\n", - "JH_recovered_global=covid19_recovered_global" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "184a6b6a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
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1NaNAlbania41.1533020.168300000000...3570357135713573357435743575357635763576
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3NaNAndorra42.506301.521800000000...154154154154154154154154154154
4NaNAngola-11.2027017.873900000000...1917191719171917191719171917191719171917
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5 rows × 948 columns

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" - ], - "text/plain": [ - " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", - "0 NaN Afghanistan 33.93911 67.709953 0 0 \n", - "1 NaN Albania 41.15330 20.168300 0 0 \n", - "2 NaN Algeria 28.03390 1.659600 0 0 \n", - "3 NaN Andorra 42.50630 1.521800 0 0 \n", - "4 NaN Angola -11.20270 17.873900 0 0 \n", - "\n", - " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", - "0 0 0 0 0 ... 7758 7758 7759 \n", - "1 0 0 0 0 ... 3570 3571 3571 \n", - "2 0 0 0 0 ... 6878 6878 6878 \n", - "3 0 0 0 0 ... 154 154 154 \n", - "4 0 0 0 0 ... 1917 1917 1917 \n", - "\n", - " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", - "0 7759 7759 7759 7759 7759 7762 7767 \n", - "1 3573 3574 3574 3575 3576 3576 3576 \n", - "2 6878 6878 6878 6878 6878 6878 6878 \n", - "3 154 154 154 154 154 154 154 \n", - "4 1917 1917 1917 1917 1917 1917 1917 \n", - "\n", - "[5 rows x 948 columns]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Reading some of the data from John Hopkin's repository\n", - "JH_deaths_global.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39a878bc", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "219c82cd", - "metadata": {}, - "source": [ - "# External Data:\n", - "\n", - "Save the external data to a DataFrame\n", - "External Data includes but not limited to: covid_external.csv, Budget data.csv, RealGDP.csv" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "dc07766f", - "metadata": {}, - "outputs": [], - "source": [ - "#Saving external data into dataaframe object\n", - "covid_external = pd.read_csv('covid_external.csv')\n", - "Budget_data = pd.read_csv('Budget data.csv')\n", - "RealGDP = pd.read_csv('RealGDP.csv')\n", - "covidnig = pd.read_csv('covidnig.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "706c1245", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26,7082,43524,037236
1FCT9,6272,8406,69493
2Kaduna4,5045793,87748
3Plateau4,2622803,94834
4Oyo3,7883683,37446
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" - ], - "text/plain": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 26,708 2,435 \n", - "1 FCT 9,627 2,840 \n", - "2 Kaduna 4,504 579 \n", - "3 Plateau 4,262 280 \n", - "4 Oyo 3,788 368 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 24,037 236 \n", - "1 6,694 93 \n", - "2 3,877 48 \n", - "3 3,948 34 \n", - "4 3,374 46 " - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Reading some of the dataframes\n", - "covidnig.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "8a8ccd9e", - "metadata": {}, - "outputs": [], - "source": [ - "# Combining all 'external' dataframe objects provided using the merge() function on identical column\n", - "merged_t1 = pd.merge(covid_external, Budget_data, on= 'states', how ='outer', sort= True)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "2b982227", - "metadata": {}, - "outputs": [], - "source": [ - "#Renaming of a column is necessary if web scrapped data from NCDC's link is to be merged with 'external' dataframe on isentical column 'states'.\n", - "covidnig_rn = covidnig.rename(columns={'States Affected':'states'})" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "38c0df7a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 37 non-null object\n", - " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", - " 2 No. of Cases (on admission) 37 non-null object\n", - " 3 No. Discharged 37 non-null object\n", - " 4 No. of Deaths 37 non-null int64 \n", - "dtypes: int64(1), object(4)\n", - "memory usage: 1.6+ KB\n" - ] - } - ], - "source": [ - "#Checking if Renaming was successful and type of data in imported data from NCDC's link.\n", - "covidnig_rn.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "f8304c9b", - "metadata": {}, - "outputs": [], - "source": [ - "# values of data are object\n", - "# All data values has to be converted to appropriate type (numeric). We use pd.to_numeric and apply the conversion.\n", - "covidnig_rndf = covidnig_rn[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", - "covidnig_rn[covidnig_rndf] = covidnig_rn[covidnig_rndf].apply(pd.to_numeric,errors='coerce')" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "edc5e80b", - "metadata": {}, - "outputs": [], - "source": [ - "covidnig_rn.replace(',','', regex=True, inplace=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "f3fa815d", - "metadata": {}, - "outputs": [], - "source": [ - "#Final merger of external dataframe and NCDC's data also using the pd.merge() function\n", - "merged_t2 = pd.merge(merged_t1,covidnig_rn, on= 'states', how ='outer', sort=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "cfef53ba", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df = merged_t2.append(RealGDP, ignore_index=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "e6d82b00", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised_budget (Bn)No. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsYearQ1Q2Q3Q4
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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5 rows × 23 columns

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" - ], - "text/plain": [ - " states region Population Overall CCVI Index Age \\\n", - "0 Abia South East 4190000.0 0.2 0.9 \n", - "1 Adamawa North East 4672000.0 0.8 0.5 \n", - "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", - "3 Akwa-Ibom NaN NaN NaN NaN \n", - "4 Anambra South East 6050000.0 0.6 0.9 \n", - "\n", - " Epidemiological Fragility Health System Population Density \\\n", - "0 0.6 0.1 0.3 0.9 \n", - "1 0.6 0.9 0.7 0.3 \n", - "2 0.7 0.6 0.8 0.8 \n", - "3 NaN NaN NaN NaN \n", - "4 1.0 0.6 0.2 1.0 \n", - "\n", - " Socio-Economic ... Revised_budget (Bn) No. of Cases (Lab Confirmed) \\\n", - "0 0.2 ... 102.70 980.0 \n", - "1 0.7 ... 139.31 355.0 \n", - "2 0.5 ... NaN 395.0 \n", - "3 NaN ... 366.00 NaN \n", - "4 0.0 ... 112.80 299.0 \n", - "\n", - " No. of Cases (on admission) No. Discharged No. of Deaths Year Q1 Q2 \\\n", - "0 25.0 945.0 10.0 NaN NaN NaN \n", - "1 96.0 238.0 21.0 NaN NaN NaN \n", - "2 44.0 342.0 9.0 NaN NaN NaN \n", - "3 NaN NaN NaN NaN NaN NaN \n", - "4 6.0 274.0 19.0 NaN NaN NaN \n", - "\n", - " Q3 Q4 \n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Viewing the data\n", - "#Obtain basic information about the merged data using the head() and info() method.\n", - "combined_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "570617ef", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 48 entries, 0 to 47\n", - "Data columns (total 23 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 41 non-null object \n", - " 1 region 37 non-null object \n", - " 2 Population 37 non-null float64\n", - " 3 Overall CCVI Index 37 non-null float64\n", - " 4 Age 37 non-null float64\n", - " 5 Epidemiological 37 non-null float64\n", - " 6 Fragility 37 non-null float64\n", - " 7 Health System 37 non-null float64\n", - " 8 Population Density 37 non-null float64\n", - " 9 Socio-Economic 37 non-null float64\n", - " 10 Transport Availability 37 non-null float64\n", - " 11 Acute IHR 37 non-null float64\n", - " 12 Initial_budget (Bn) 37 non-null float64\n", - " 13 Revised_budget (Bn) 37 non-null float64\n", - " 14 No. of Cases (Lab Confirmed) 21 non-null float64\n", - " 15 No. of Cases (on admission) 35 non-null float64\n", - " 16 No. Discharged 22 non-null float64\n", - " 17 No. of Deaths 37 non-null float64\n", - " 18 Year 7 non-null float64\n", - " 19 Q1 7 non-null float64\n", - " 20 Q2 7 non-null float64\n", - " 21 Q3 7 non-null float64\n", - " 22 Q4 7 non-null float64\n", - "dtypes: float64(21), object(2)\n", - "memory usage: 8.8+ KB\n" - ] - } - ], - "source": [ - "combined_df.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "7333933a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "states 37\n", - "Initial_budget (Bn) 37\n", - "Revised_budget (Bn) 37\n", - "dtype: int64" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Budget_data.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "cbb55a48", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "states 37\n", - "region 6\n", - "Population 37\n", - "Overall CCVI Index 11\n", - "Age 11\n", - "Epidemiological 11\n", - "Fragility 11\n", - "Health System 11\n", - "Population Density 11\n", - "Socio-Economic 11\n", - " Transport Availability 11\n", - "Acute IHR 22\n", - "dtype: int64" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covid_external.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "53f0b8ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "States Affected 37\n", - "No. of Cases (Lab Confirmed) 37\n", - "No. of Cases (on admission) 33\n", - "No. Discharged 37\n", - "No. of Deaths 30\n", - "dtype: int64" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "6f484eb5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Year 7\n", - "Q1 7\n", - "Q2 7\n", - "Q3 7\n", - "Q4 7\n", - "dtype: int64" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "RealGDP.nunique()" - ] - }, - { - "cell_type": "markdown", - "id": "f7eff8be", - "metadata": {}, - "source": [ - "# Viewing the separate external data and NCDC's data: Obtaining basic information about the data using the head() and info() method." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "540f2dee", - "metadata": {}, - "outputs": [], - "source": [ - "covid_external = pd.read_csv('covid_external.csv')\n", - "Budget_data = pd.read_csv('Budget data.csv')\n", - "RealGDP = pd.read_csv('RealGDP.csv')\n", - "covidnig = pd.read_csv('covidnig.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "4cba08be", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
0FCTNorth Central48650000.30.00.90.40.60.90.60.20.79
1PlateauNorth Central47660000.40.50.40.80.30.30.50.30.93
2KwaraNorth Central35240000.30.40.30.20.40.20.60.70.93
3NassarawaNorth Central27830000.10.30.50.90.00.10.60.50.85
4NigerNorth Central62600000.60.00.60.30.70.10.80.80.84
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statesInitial_budget (Bn)Revised_budget (Bn)
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
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StateRegionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised Budget in BillionNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of DeathsYearFirst QuarterSecond QuarterThird QuarterFourth Quarter
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
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1NaNAlbania41.15330020.168300000000...321345321804322125322837323282323829325241325736326077326181
2NaNAlgeria28.0339001.659600000000...269008269141269269269381269473269556269650269731269805269894
3NaNAndorra42.5063001.521800000000...45899458994589945899459754597545975459754597545975
4NaNAngola-11.20270017.873900000000...102636102636102636102636102636102636102636102636102636102636
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200Cook IslandsNew Zealand-21.236700-159.777700000000...6209620962406265626562656265626562656265
201NaNNew Zealand-40.900600174.886000000000...1687705169126116962391700900170559717095411712957171516517180091721836
202NaNNicaragua12.865416-85.207229000000...14872148721487214872148991489914899148991489914899
203NaNNiger17.6077898.081666000000...9132913291399139915791579183918391839203
204NaNNigeria9.0820008.675300000000...262520262520262520262664262664262748262748262912262912262912
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" - ], - "text/plain": [ - " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", - "0 NaN Afghanistan 33.939110 67.709953 0 0 \n", - "1 NaN Albania 41.153300 20.168300 0 0 \n", - "2 NaN Algeria 28.033900 1.659600 0 0 \n", - "3 NaN Andorra 42.506300 1.521800 0 0 \n", - "4 NaN Angola -11.202700 17.873900 0 0 \n", - ".. ... ... ... ... ... ... \n", - "200 Cook Islands New Zealand -21.236700 -159.777700 0 0 \n", - "201 NaN New Zealand -40.900600 174.886000 0 0 \n", - "202 NaN Nicaragua 12.865416 -85.207229 0 0 \n", - "203 NaN Niger 17.607789 8.081666 0 0 \n", - "204 NaN Nigeria 9.082000 8.675300 0 0 \n", - "\n", - " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", - "0 0 0 0 0 ... 188820 189045 189343 \n", - "1 0 0 0 0 ... 321345 321804 322125 \n", - "2 0 0 0 0 ... 269008 269141 269269 \n", - "3 0 0 0 0 ... 45899 45899 45899 \n", - "4 0 0 0 0 ... 102636 102636 102636 \n", - ".. ... ... ... ... ... ... ... ... \n", - "200 0 0 0 0 ... 6209 6209 6240 \n", - "201 0 0 0 0 ... 1687705 1691261 1696239 \n", - "202 0 0 0 0 ... 14872 14872 14872 \n", - "203 0 0 0 0 ... 9132 9132 9139 \n", - "204 0 0 0 0 ... 262520 262520 262520 \n", - "\n", - " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", - "0 189477 189710 190010 190254 190435 190643 191040 \n", - "1 322837 323282 323829 325241 325736 326077 326181 \n", - "2 269381 269473 269556 269650 269731 269805 269894 \n", - "3 45899 45975 45975 45975 45975 45975 45975 \n", - "4 102636 102636 102636 102636 102636 102636 102636 \n", - ".. ... ... ... ... ... ... ... \n", - "200 6265 6265 6265 6265 6265 6265 6265 \n", - "201 1700900 1705597 1709541 1712957 1715165 1718009 1721836 \n", - "202 14872 14899 14899 14899 14899 14899 14899 \n", - "203 9139 9157 9157 9183 9183 9183 9203 \n", - "204 262664 262664 262748 262748 262912 262912 262912 \n", - "\n", - "[205 rows x 948 columns]" - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#viewing basic information from John Hopkin's global data\n", - "JH_confirmed_global.head(n=205)" - ] - }, - { - "cell_type": "markdown", - "id": "5bdf5c67", - "metadata": {}, - "source": [ - "# Get a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "id": "8ea0ac17", - "metadata": {}, - "outputs": [], - "source": [ - "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", - "# The data frames will be restructured to make data accessible and extractable. We restructure dataframe using pd.melt() and drop() method\n", - "JH_Daily_confirmed = pd.melt(JH_confirmed_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Confirmed Cases')" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "id": "b7c7345b", - "metadata": {}, - "outputs": [], - "source": [ - "# Still converting data tpe: Date column values is to be converted into standard Datetime format\n", - "JH_Daily_confirmed['Date'] = pd.to_datetime(JH_Daily_confirmed['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "id": "0f5ba3ca", - "metadata": {}, - "outputs": [], - "source": [ - "#delete other columns aside date and country/region using the drop()method\n", - "JH_Daily_Confirmeddf= JH_Daily_confirmed.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "id": "c1f8e51e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Country/RegionDateConfirmed Cases
0Afghanistan2020-01-220
1Albania2020-01-220
2Algeria2020-01-220
3Andorra2020-01-220
4Angola2020-01-220
............
269035West Bank and Gaza2022-08-22698384
269036Winter Olympics 20222022-08-22535
269037Yemen2022-08-2211915
269038Zambia2022-08-22332527
269039Zimbabwe2022-08-22256628
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269040 rows × 3 columns

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" - ], - "text/plain": [ - " Country/Region Date Confirmed Cases\n", - "0 Afghanistan 2020-01-22 0\n", - "1 Albania 2020-01-22 0\n", - "2 Algeria 2020-01-22 0\n", - "3 Andorra 2020-01-22 0\n", - "4 Angola 2020-01-22 0\n", - "... ... ... ...\n", - "269035 West Bank and Gaza 2022-08-22 698384\n", - "269036 Winter Olympics 2022 2022-08-22 535\n", - "269037 Yemen 2022-08-22 11915\n", - "269038 Zambia 2022-08-22 332527\n", - "269039 Zimbabwe 2022-08-22 256628\n", - "\n", - "[269040 rows x 3 columns]" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#checking if the formatting of dataframe for global confirmed Cases is as expected\n", - "JH_Daily_Confirmeddf" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "id": "3906e952", - "metadata": {}, - "outputs": [], - "source": [ - "#Applying formatting tools used for global confirmed cases to Dataframe of global recoveries and Deaths\n", - "\n", - "JH_Daily_Recovery = pd.melt(JH_recovered_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Recovered Cases')\n", - "JH_Daily_Recovery['Date'] = pd.to_datetime(JH_Daily_Recovery['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "id": "f2abb71a", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Recoverydf= JH_Daily_Recovery.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "id": "e230f423", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Deaths = pd.melt(JH_deaths_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Death Cases')\n", - "JH_Daily_Deaths['Date'] = pd.to_datetime(JH_Daily_Deaths['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "id": "057b66ac", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Deathsdf= JH_Daily_Deaths.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "id": "b0836c34", - "metadata": {}, - "outputs": [], - "source": [ - "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "id": "e88a3fda", - "metadata": {}, - "outputs": [], - "source": [ - "Nigeria = JH_Daily_confirmed[JH_Daily_confirmed['Country/Region'] == 'Nigeria']" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "id": "2addb352", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Confirmed_Nigeriadf= Nigeria[['Date', 'Confirmed Cases']].reset_index(drop = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "id": "d8573def", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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944 rows × 2 columns

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" - ], - "text/plain": [ - " Date Death Cases\n", - "0 2020-01-22 0\n", - "1 2020-01-23 0\n", - "2 2020-01-24 0\n", - "3 2020-01-25 0\n", - "4 2020-01-26 0\n", - ".. ... ...\n", - "939 2022-08-18 3147\n", - "940 2022-08-19 3147\n", - "941 2022-08-20 3147\n", - "942 2022-08-21 3147\n", - "943 2022-08-22 3147\n", - "\n", - "[944 rows x 2 columns]" - ] - }, - "execution_count": 78, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "JH_Daily_DeathsNigeriadf" - ] - }, - { - "cell_type": "markdown", - "id": "db49e0ab", - "metadata": {}, - "source": [ - "# Analyses\n", - "Performance of some analyses on the datasets." - ] - }, - { - "cell_type": "code", - "execution_count": 79, - "id": "42fdc252", - "metadata": {}, - "outputs": [], - "source": [ - "# To Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory \n", - "#First renaming columns from original dataframe fro link (data cleaning)\n", - "covidnig\n", - "covidnig.rename(columns = {'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths'}, inplace = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "id": "9a1b289e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
10Ondo179362169041
11Katsina1405214116724
12Enugu137634132121
13Kwara1296171109431
14Gombe116418395031
15Ebonyi109124103730
16Abia9802594510
17Osun9792093722
18Bauchi89710877514
19Borno7783770536
20Imo7346166112
21Nasarawa60026232513
22Benue5154446011
23Bayelsa4975542121
24Ekiti405243756
25Akwa Ibom395443429
26Jigawa3865731811
27Niger3816930012
28Adamawa3559623821
29Anambra299627419
30Sokoto2284017117
31Taraba203191777
32Yobe164331238
33Kebbi14351308
34Cross River9318111
35Zamfara791735
36Kogi5032
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" - ], - "text/plain": [ - " States Affected Number of Lab Confirmed Cases \\\n", - "0 Lagos 26708 \n", - "1 FCT 9627 \n", - "2 Kaduna 4504 \n", - "3 Plateau 4262 \n", - "4 Oyo 3788 \n", - "5 Rivers 3279 \n", - "6 Edo 2768 \n", - "7 Ogun 2382 \n", - "8 Kano 2032 \n", - "9 Delta 1843 \n", - "10 Ondo 1793 \n", - "11 Katsina 1405 \n", - "12 Enugu 1376 \n", - "13 Kwara 1296 \n", - "14 Gombe 1164 \n", - "15 Ebonyi 1091 \n", - "16 Abia 980 \n", - "17 Osun 979 \n", - "18 Bauchi 897 \n", - "19 Borno 778 \n", - "20 Imo 734 \n", - "21 Nasarawa 600 \n", - "22 Benue 515 \n", - "23 Bayelsa 497 \n", - "24 Ekiti 405 \n", - "25 Akwa Ibom 395 \n", - "26 Jigawa 386 \n", - "27 Niger 381 \n", - "28 Adamawa 355 \n", - "29 Anambra 299 \n", - "30 Sokoto 228 \n", - "31 Taraba 203 \n", - "32 Yobe 164 \n", - "33 Kebbi 143 \n", - "34 Cross River 93 \n", - "35 Zamfara 79 \n", - "36 Kogi 5 \n", - "\n", - " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", - "0 2435 24037 236 \n", - "1 2840 6694 93 \n", - "2 579 3877 48 \n", - "3 280 3948 34 \n", - "4 368 3374 46 \n", - "5 232 2987 60 \n", - "6 52 2603 113 \n", - "7 174 2175 33 \n", - "8 198 1778 56 \n", - "9 57 1737 49 \n", - "10 62 1690 41 \n", - "11 214 1167 24 \n", - "12 34 1321 21 \n", - "13 171 1094 31 \n", - "14 183 950 31 \n", - "15 24 1037 30 \n", - "16 25 945 10 \n", - "17 20 937 22 \n", - "18 108 775 14 \n", - "19 37 705 36 \n", - "20 61 661 12 \n", - "21 262 325 13 \n", - "22 44 460 11 \n", - "23 55 421 21 \n", - "24 24 375 6 \n", - "25 44 342 9 \n", - "26 57 318 11 \n", - "27 69 300 12 \n", - "28 96 238 21 \n", - "29 6 274 19 \n", - "30 40 171 17 \n", - "31 19 177 7 \n", - "32 33 123 8 \n", - "33 5 130 8 \n", - "34 1 81 11 \n", - "35 1 73 5 \n", - "36 0 3 2 " - ] - }, - "execution_count": 80, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "id": "7dbfc744", - "metadata": {}, - "outputs": [], - "source": [ - "#Sorting top 10 states with highest lab confirmed cases by using df.sort_values()\n", - "\n", - "covidnig_lab10confirmed = covidnig.sort_values('Number of Lab Confirmed Cases', ascending = False)\n", - "covidnig_lab10confirmed = covidnig_lab10confirmed.iloc[:10,]" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "id": "83f35642", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
\n", - "
" - ], - "text/plain": [ - " States Affected Number of Lab Confirmed Cases \\\n", - "0 Lagos 26708 \n", - "1 FCT 9627 \n", - "2 Kaduna 4504 \n", - "3 Plateau 4262 \n", - "4 Oyo 3788 \n", - "5 Rivers 3279 \n", - "6 Edo 2768 \n", - "7 Ogun 2382 \n", - "8 Kano 2032 \n", - "9 Delta 1843 \n", - "\n", - " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", - "0 2435 24037 236 \n", - "1 2840 6694 93 \n", - "2 579 3877 48 \n", - "3 280 3948 34 \n", - "4 368 3374 46 \n", - "5 232 2987 60 \n", - "6 52 2603 113 \n", - "7 174 2175 33 \n", - "8 198 1778 56 \n", - "9 57 1737 49 " - ] - }, - "execution_count": 82, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#checking top 10 states\n", - "covidnig_lab10confirmed" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "id": "2d8a31e5", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting top 10 states with corresponding confirmed cases\n", - "Top_10_covidngcases = sns.barplot(x='Number of Lab Confirmed Cases', y='States Affected', data=covidnig_lab10confirmed, color = 'blue').set_title('Top 10 covid cases in Nigerian States')\n" - ] - }, - { - "cell_type": "markdown", - "id": "1bb27389", - "metadata": {}, - "source": [ - "Lagos with the highest covid case and Delta is with the lowest." - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "id": "b92dd2a0", - "metadata": {}, - "outputs": [], - "source": [ - "#Generating a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values\n", - "covidnig_10Discharged = covidnig.sort_values('Number of Cases Discharged', ascending = False)\n", - "covidnig_10Discharged = covidnig_10Discharged.iloc[:10,]" - ] - }, - { - "cell_type": "code", - "execution_count": 185, - "id": "a35d2c2c", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "covid_disch_plot = sns.barplot(x='Number of Cases Discharged', y='States Affected', data=covidnig_10Discharged, color = 'blue').set_title('Top 10 covid Discharges')\n" - ] - }, - { - "cell_type": "markdown", - "id": "0ad7bc8a", - "metadata": {}, - "source": [ - "Lagos showing the highest number of discharges is because it has a high population figure, hihest number of confirmed cases and better health management system." - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "id": "5d9f17bb", - "metadata": {}, - "outputs": [], - "source": [ - "#Plotting the top 10 Death cases" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "id": "ab31af8a", - "metadata": {}, - "outputs": [], - "source": [ - "#Generating a plot that shows the Top 10 states in terms of death cases. Hint - Sort the values\n", - "covidnig_10Deaths = covidnig.sort_values('Number of Deaths', ascending = False)\n", - "covidnig_10Deaths = covidnig_10Deaths.iloc[:10,]" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "id": "05873dbe", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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wcC5cuMCrV6+wtrZm3rx5ysE0rVq1wsfHh0WLFnHt2jVMTEwICgri3LlzGBoa8u7dO2Uiq1WrFi1atODUqVP07duX+vXrk5SUxJ9//snz588ZM2aM8o8adeuwcOHCDBs2jEWLFtGzZ08cHR3R1dXlxo0b3Lhxg2bNmlGzZs0sqyPx5SRhigLJyMgIb29vVq1axZkzZ7h27RqVK1dm2bJlrFq1iqCgoM++tq2tLRs2bGDdunVcuHCBs2fPYmpqytdff82gQYNUBp2MHj2aChUqsG/fPvz8/EhISKBixYpMnDhRZZYbOzs7evbsyaFDh9ixYwcVK1b8ZMIMCAggICBA+XOhQoUoUaIE9vb2fPXVVzRt2jTNOeXLl2fTpk2sXbuWc+fOcfnyZUqWLEmrVq349ttvqVixovLYyZMnY2pqyqlTp9i1axclS5akcuXKzJw5k4sXL+Ll5cX58+dp2bIlAOPHj2fhwoUcPHiQ0NDQLE2YWlpaTJw4kVatWrF7924CAgLw9/dHW1ubSpUqMWDAALp166Z8lQY+dEEvXboUT09P/vzzTxQKBaVLl2bQoEH06NEDJycnzp8/rzx+5syZVK9enSNHjrB//35SUlKwtrZm1KhRyjJmtg579OhByZIl2blzJydOnCAuLo6yZcvy3Xff0bt37yyrH5E1FFFRUTnzoEGIXOTJkyeYmpqmOzrzq6++QldXN81SVEKIgk2eYYoCafz48bRt25aoqCiV7UeOHOHZs2dfNE+rECJ/khamKJB+/fVXFixYQKlSpWjevDn6+voEBgbi7++PiYkJGzdulJlWhBAqJGGKAuuPP/5gx44dBAYGEhMTg4mJCQ4ODgwePDjb1m0UQuRdkjCFEEIINcgzTCGEEEINkjCFEEIINUjCFEIIIdQgExd8oYsXc2aC6bwuLi4u2yYRz2+krjJH6itz8nN9mZtrYWGhnW3Xl0E/X8jOTv1FcoUQQmQfLy996tcv9OkDP5N0yQohhBBqkIQphBBCqCFXJkx7e3suXLig6TCEEEIIpVyZMIUQQojcRhKmEEIIoYY8+VrJwYMH2bx5M0+fPkVPT4+WLVsybtw45QKuW7duxcfHh7dv39KxY0f+/vtvOnbsiJOTE8nJyfj4+LBnzx7Cw8OpXr06Y8eOxcbGBoATJ07g6elJSEgIZmZmDBw4kE6dOmmyuEIIIXKBPNfCvHbtGgsWLGD48OHs3r2bH374AV9fX06dOgXA4cOH8fT0ZMyYMXh7exMWFsaVK1eU53t7e+Pj44ObmxubNm2iTJkyuLq6EhsbS0REBFOnTqVXr17s2rWLgQMH8tNPPxEcHKyh0gohhMgt8lzCLFKkCJMnT6ZFixaULl2ali1bYmNjQ1BQEAC7du3im2++oXXr1lhZWTF9+nTlIsEpKSns3LmTIUOG0KxZMywtLZk8eTI6Ojr4+fnx8uVLEhMTMTExoXTp0nTq1IkVK1ZQsmRJTRZZCCFELpDnumSrVatGkSJF8PT0JDAwkIcPH/LkyRPq168PwMOHD+nbt6/yeAMDAypUqABAREQE0dHR1KxZU7lfR0eHatWqERwcTPfu3Wnbti1ubm6UK1eOpk2b4uTkhIGBQc4WUgghRK6T51qY/v7+9O/fn/DwcBo2bMi8efOwtbVV7tfWTjstUkrKh8mMUlua/5acnExSUhIKhYLZs2ezadMm2rVrx9WrVxk0aBDnz5/PnsIIIYTIM/Jcwty/fz8dO3Zk0qRJdOnShYoVKxISEqJMipUqVeLu3bvK42NiYnj69CkA+vr6GBsbc+vWLeX+xMRE7t27R4UKFQgODmbJkiVUrVoVFxcXNm/ejJ2dHb///nuOllEIIUTuk2u7ZO/evUtSUpLKtlq1amFoaMjNmzcJCAhAS0uLjRs3Eh4eTkLCh0nQv/nmG+bOnUvVqlWxtLTE09OTt2/fKq/Rp08fvL29MTU1pXz58mzatIn4+HjatGlDSkoKe/fuRU9Pj44dOxIWFsbDhw9p3bp1jpZdCCFE7pNrE+bKlSvTbNuwYQPOzs7MnDmTb7/9Fj09PRo3bsz//vc/7t+/D0CbNm148uQJ8+fP5/3793z11VeUKVOGQoU+TMjbq1cvYmNjmTt3LjExMdSqVYs1a9ZQqlQpAObPn8/KlSvZvHkzBgYGdOvWjc6dO+dcwYUQQuRK+W61kitXrlC2bFnMzMyAD12ubdq04eeff6ZevXpZfj9ZrUQIIXKH7F6tJNe2MD/X77//zs2bN/nhhx8oVqwY27dvR09PT2VkrBBCCJFZeW7Qz6cMHTqU8uXLM3LkSPr06cOjR49YtmxZhiNkhRBCCHXkuxamnp4eM2fO1HQYQggh8pl8lzBzmpeXvqZDyBPi4uLQ1dXVdBh5gtRV5kh9ZU5+ri9z8+ztNM13g35E7hQQEIC1tbWmw8gTpK4yR+orc6S+Pl++e4YphBBCZAdJmEIIIYQaJGEKIYQQapBBP1/o4sUETYeQJ8TFmREVJXWljqyuK3NzLSws0i5KIITIHEmYX8jZOUbTIeQhUlfqy7q68vLSl4QpRBaQLlkhhBBCDZIwhRBCCDXkqy7Zzp07ExYWlu6+BQsW4OjoqLLtwoULjBw5kgsXLuRAdEIIIfKyfJUwAVxdXWnbtm2a7QYGBhqIRgghRH6R7xKmnp4exsbGmg5DCCFEPpPvEubHxMTEMG/ePM6cOYOxsTFfffWVyv7nz5+zdOlSLl68iEKhoE2bNowePVpWOhFCCFGwEua8efMIDg5m9erVREZGqqxqkpCQwIgRI7CwsGDVqlW8fv2an376iZSUFL7//nsNRi2EECI3yHcJc+HChSxZskRlW/Hixdm+fTsnTpzAw8ODqlWrAjB48GAWLlwIgL+/Py9evGDdunUYGhoC8P333+Pu7s6IESPQ15dVSYQQoiDLdwlzyJAhtGzZUmWblpYWjx8/JikpSWWW/mrVqim/DwoKwsLCQpksAWrVqkVSUhKPHz+mevXq2R+8EEKIXCvfJUwjIyMsLCzSbH/9+jUAKSn/t5qZjs7/FT+955TJyckq/wohhCi4CszEBeXLl0dHR4c7d+4ot92/f1/5fcWKFXny5IkysQLcvHkTbW1typUrl6OxCiGEyH3yXQszNjaW8PDwNNt1dXVp3749ixcvZtq0abx7945169Yp99vb21O+fHlmzJjBiBEjiI6OZtGiRbRu3RojI6McLIEQQojcKN8lzGXLlrFs2bI02/v06cP48eNZuHAho0ePxsDAgG+++Ybly5cDH55z/vzzz/z8888MHjyYYsWK0bZtW7777rucLoIQQohcSBEVFZXy6cNERuzsIjUdghAf5eWlT/36hTQdRrYJCAhQGcwnPk7q6/MVmGeYQgghxJeQhCmEEEKoId89w8xpXl4yoYE64uLi0NXV1XQYeUJW15W5ufxdLERWkIT5hfLzs6GsFBAQLM9N1CR1JUTuJH96CiGEEGqQhCmEEEKoQRKmEEIIoQZ5hvmFLl5M0HQIeUJcnBlRUQW7rszNtbCw0NZ0GEKIzyQJ8ws5O8doOoQ8pGDXlZeXviRMIfIw6ZIVQggh1CAJUwghhFBDnu+S7dy5M2FhYWm2V6pUie3btwPg7+/P5s2buXfvHtra2tSsWZNhw4ZRpUoV4MNKJR9z4cKFrA9cCCFEnpLnEyaAq6srbdu2VdmWujj0jh078PDwwMXFhfHjx5OUlMS2bdsYOnQoa9asoUqVKvj5+SnPW7hwIVpaWri7u+doGYQQQuRu+SJh6unpYWxsnGZ7SEgIy5cvZ/LkyXTo0EG5ferUqYSGhvLLL7+wbNkylXMLFy6MtrZ2utcTQghRcOWLhJmRI0eOYGhoSLt27dLsmzhxIikpsrKZEEII9eTrhBkQEEDVqlXR0ko7tql8+fIaiEgIIURelS8S5sKFC1myZInKtr179xITE0OJEiU0FJUQQoj8JF8kzCFDhtCyZUuVbYaGhhgaGvLmzRsNRSWEECI/yRfvYRoZGWFhYaHypa2tTfXq1bl79266zyrPnDnD5MmTSUxM1EDEQggh8pp8kTAz0rJlS2JjY1VeGwFITk7Gx8eH169fK18/EUIIIT4mw2zh5OSEQqFQ+0IHDx7MkoCykpmZGUOHDmXu3LlERUXh4OBATEyMchIDb29vTYcohBAij8gwYdavX1+ZMFNSUjh27Bi6uro0adIEExMToqKi8Pf3582bN3Tt2jXHAs6svn37YmJiwo4dO/D29qZQoULY2tri7e2NlZWVpsMTQgiRR2SYMKdPn6783tPTE2trazw8PNDT01Nuf/fuHWPGjOHdu3fZG+VH7N+//5PHtG3bNs1MQBmZNWvWl4YkhBAiH1LrGebu3bvp37+/SrIEKFKkCD179uTYsWPZEpwQQgiRW6iVMJOSkoiPj093X2RkZLoTAwghhBD5iVqZrn79+qxevZoHDx6obL9x4wZr1qzBwcEhW4ITQgghcgu13qlwd3fHxcWF/v37Y25uTokSJXj16hUvXrzAxsaGMWPGZHOYuZeXl76mQ8gT4uLi0NXV1XQYGmVuLj0xQuRlaiVMExMTtm/fzqFDh7hy5QqvX7/GwsICe3t72rVrV6DfZaxfv5CmQ8gTAgKCsba21nQYQgjx2dTOdEWKFOHrr7/m66+/zs54hBBCiFxJ7YT59u1bdu3axV9//UV4eDhz587l3Llz1KhRg7p162ZnjEIIIYTGqZUww8PDGTp0KM+fP6dKlSo8fvyYhIQErl69yurVq1m+fDn16tXL7lhzpYsXEzQdQp4QF2dGVNTn1ZW5uRYWFtpZHJEQQmSOWglz2bJlJCUlsWvXLkxMTGjSpAkACxYsYPTo0Xh7exfYhOnsHKPpEPKQz6srLy99SZhCCI1Ta9iev78/Li4ulC5dWmV+WR0dHXr06EFAQEC2BSiEEELkBmolzISEhDSz/KRSKBSyRJYQQoh8T60u2erVq7Nz506aNm2q3Jba0vTz86NatWpZFlDnzp0JCwtTuU/x4sWxs7Nj/PjxmJmZYW9vj4eHB/b29ll2XyGEEOJj1EqYw4cPZ/jw4fTu3ZsmTZqgUCjw8/Nj5cqVXLp0CQ8PjywNytXVVTlZenJyMkFBQcybN48ZM2awatUq/Pz8MDQ0zNJ7CiGEEB+jVpesra0tv/zyCwYGBmzbto2UlBR27NhBdHQ0S5cuzfLXSvT09DA2NsbY2BhTU1MaNGjA0KFDuXz5MjExMRgbG1OokEwYIIQQIueo/R5m7dq18fLy4t27d0RHR6Ovr6+c6iwxMTHbZ/tJTZBaWlrKLtknT56wfv16Dh48qOwiPnbsGIsWLeLQoUMkJSXh4eHB4cOHSU5Opn79+owbN45SpUoRGhpKly5dGDp0KFu3bsXR0RE3NzfmzJnDhQsXSEpKon79+nz//fcYGxtna9mEEELkfmq1MLt06cL9+/eBDzP+mJiYKJPl9evXad++ffZFCDx+/BhPT08aNWpEsWLFlNtbtmzJq1evuH37tnLbiRMnaNmyJdra2vzyyy/cvHmTxYsXs2bNGlJSUnB3dyclJUV5/NWrV9m4cSP9+/dnzZo1hIWFsXr1atauXUtkZCRLly7N1rIJIYTIGzJsFm7cuFG5pFdYWBg7duzAzMwszXG3bt0iOTk5S4NauHAhS5YsAT4sLVaoUCGaNWuGm5ubynFGRkbY29tz8uRJatasSVxcHOfOnWPFihXEx8eza9cu1q1bR5UqVQCYMWMGrVu35tq1a8qy9OjRg3LlyinLqaurS5kyZShWrBgzZszgzZs3WVo2IYQQeVOGCTM5OZl169YBH0aqHjp0KM0xWlpa6OvrM2zYsCwNasiQIbRs2ZK4uDi8vLx49uwZw4cPx8jIKM2xrVu3Zt26dYwePZozZ85gaGiIra0tgYGBJCQk4OLionL8+/fvefz4sTJhlilTRrmvf//+uLm50bZtW+rVq4ejoyMdOnTI0rIJIYTImzJMmIMGDWLQoEEANGjQAE9PT2rXrp0jQRkZGWFhYQHAnDlzGDBgAOPHj2f9+vVpnpU6Ojoyf/58Hjx4wIkTJ2jdujUKhYKkpCQAVq9ejb6+6hJcJUqUIDo6GoDChQsrt9va2rJ//37OnDnD2bNnWbZsGUeOHGHVqlXZWVwhhBB5gFrPMPft20eNGjV48uSJcltUVBRXr17NtsBSFSpUiClTphAQEICPj0+a/fr6+jRq1IiTJ09y/vx5WrduDUDZsmXR1tYmKioKCwsLLCwsKFGiBEuXLlV5z/Oftm3bxu3bt2nXrh2zZ89myZIlXL58mVevXmVrGYUQQuR+aiVMXV1dhg0bhqurq3Lb7du3GTZsGKNGjSImJnvnU61evTpfffUV69ev58WLF2n2t2nThu3bt1OqVCnlJAp6enp07tyZhQsXcvHiRYKDg5kxYwYPHz5Utl7/7fnz5yxcuJAbN24QEhLC4cOHMTc3T7crWAghRMGiVsJcsWIFz549Y/z48cptjRo1YsWKFQQHB7N69epsCzDViBEj0NHRYfny5Wn2pc5AlNq6TDVmzBgaNmzI5MmTGThwIO/evWP58uUULVo03XsMGzZMOaNQz549CQ4OZvHixWhry8TfQghR0CmioqJSPnVQ+/btcXV1pV27dmn2+fr6snr1anx9fbMlwNzOzi5S0yHke15e+tSvX3AmqggICMDa2lrTYeQZUl+ZI/X1+dRqYcbFxSnfu/w3Q0NDXr9+naVBCSGEELmNWgmzSpUq7Nu3L919Bw4cwMbGJitjEkIIIXIdteazGzRoEG5ubvTu3RtHR0dKlixJVFQUf/zxBw8fPmTx4sXZHacQQgihUWolzIYNG7J48WI8PT1Zt24dKSkpKBQKbGxs+Pnnn2nUqFF2x5lreXnpf/og8dFu/U8xN1erI0QIIbKV2jOmN2rUiEaNGqU7+XpBVpAGo3yJgIBgGWgghMjTMvWn+4sXLzhx4gR+fn7ExsZy7949EhMTsys2IYQQItdQu4Xp4eHB1q1bSUpKQqFQ0KBBA1asWEFkZCQrV66kRIkS2RmnEEIIoVFqtTB9fHzw8fHBxcWF7du3K5fHGjx4MK9evWLNmjXZGqQQQgihaWq1MHfv3s2AAQMYOHCgclJzgHr16uHi4sL69euzLcDc7uLFBE2HkCfExZkRFfXxujI318LCQmZVEkLkTmolzBcvXmS4UomFhQVRUVFZGVOe4uycvfPo5i8frysvL31JmEKIXEutLlkzM7MMVya5desW5ubmWRqUEEIIkduo1cLs0qULq1atomjRojRv3hyAmJgYjh49yubNmxk4cGB2xiiEEEJonFotzL59+9KlSxc8PT3p06cPACNHjmTatGk4OjrSv3//bA0ylb29PRcuXFDZdvXqVRwcHFi4cGGOxCCEEKJgyrCFefnyZapXr46uri4KhYLvv/+eXr16cenSJaKioihevDh16tTBysoqJ+NVERAQwNixY2ndujVjx47VWBxCCCHyvwwT5vjx41m4cCF169Zl+PDhjBs3DisrqwwXX85pISEhuLq6Ym9vz+TJk1EoFJoOSQghRD6WYZdsUlIS9+/fJykpiStXrvDmzRuSk5Mz/MpJERERjB49msqVKzN79myVBZ7Dw8P54YcfaNmyJU2aNKFv375cuXIFgNDQUOzt7Tl58iRff/01LVq0YOzYsSqjfG/cuIGzszPNmjWjc+fO7Nq1K0fLJoQQInfKsIXZsGFDli5dyrJly1AoFAwbNizDiygUCvz9/bMlwH+LjY3F1dWV58+fs27dOgoVUp3Ldfr06ejq6uLt7U1KSgorV65k/vz57NixQ3nMhg0bmDVrFu/fv2fSpEls3ryZUaNGERQUxHfffUevXr2YMmUKN2/eZMGCBZQoUYJWrVrlSPmEEELkThkmzGnTplGvXj1ev36Nt7c3Tk5OueL1kQULFmBsbEyhQoXYuHEjo0ePVtnv4OBAixYtMDMzA6B79+64uroqZycCcHZ2pmbNmgC0bduWO3fuALBv3z4qV67MiBEjAKhQoQLBwcFs3rxZEqYQQhRwGSbMyZMn891332Ftbc2VK1fo1asXlStXzsnY0mVgYMCKFSs4fvw4CxcupEWLFtSqVUu5v1u3bhw9epQbN27w6NEj7t27B6AyQ1HZsmWV3+vp6SknkA8ODqZGjRoq97O1teXXX3/NziIJIYTIAzJ8hpk6GhY+vLrx9u3bnIrpo8aMGYORkRHdunWjVq1azJo1i3fv3gGQnJzMyJEj2bJlC2ZmZvTt25fp06enuca/u3FTFS5cOM22pKQklWQrhBCiYMqwhWliYoKHhweNGjUiJSWFffv2ZficUqFQ4OLikm1B/lPqAB+FQsGkSZPo168fa9asYfTo0QQFBXH16lX8/PwwNjYGyFTr0NLSkosXL6psu3nzJuXLl8+6AgghhMiTMkyY3333HfPnz2f9+vUoFAoOHTqU4UVyMmH+k6WlJQMHDsTb2xtHR0fMzMzQ0tLi2LFjODo6cufOHTw9PQF4//79J6/XrVs3tm3bxi+//ELHjh25desWv/76K+7u7tldFCGEELlchgmzVatWyoEuDRo0wMvLC1tb2xwLTF0DBw7k+PHjzJ49m82bNzNhwgTWrl3LqlWrqFChAmPHjmXmzJncv39fORAoI2ZmZixZsoTly5fj4+ODubk5rq6udOnSJWcKI4QQItdSREVFpXzqoCtXrlClShX09PTS7IuPj+fw4cMFNqnY2UVqOoR8w8tLn/r103++XJAEBARgbW2t6TDyDKmvzJH6+nxqTb5et27dNNsCAwPZs2cPv/32G7GxsQU2YQohhCgY1EqYqRITEzl16hS7d+/m2rVrpKSkYGtri5OTU3bFJ4QQQuQKaiXMsLAw9u7dy4EDB4iMjEShUNC1a1f69u2r8k5jQeTlpa/pEPKEuLg4dHV1P3qMublai+cIIYRGfDRhnj17lt27d+Pv74+Ojg4ODg60atWKiRMn0r59+wKfLAF55qamgIBgeW4ihMjTMkyYXbp04dmzZ1StWhV3d3fatm2LgYEBcXFxORmfEEIIkStk2AcWFhaGlZUVTk5ONG3aFAMDg5yMSwghhMhVMkyYXl5eVK9enZUrV9K1a1eGDRvGoUOHpIUphBCiQMqwS9bW1hZbW1vGjh3L0aNHOXjwILNmzaJo0aIoFAoCAwOpVatWgV+4+eLFBE2HkKuZm2thYaH96QOFECKXU2viglSPHj1i//79HD58mFevXmFsbEyrVq1o06ZNmlU+CgqZuODjUicjkJel1Sd1lTlSX5kj9fX5MjWOv0KFCowePZqDBw+yYMECqlatyq5du/j222+zKz4hhBAiV8jUxAWptLW1ad68Oc2bNyc8PBw/P7+sjksIIYTIVT4rYf6TsbEx/fv3z4pYPqlz586EhYUBH1ZIKVq0KNbW1nz77bc0atTok+dfvnyZ4cOHc+7cOXR0dHjw4AGxsbHUqVMnu0MXQgiRx+W5qVVcXV3x8/PD19eXdevWYWtri7u7OxcuXMj0tcaPH8+jR4+yIUohhBD5TZ5LmHp6ehgbG2NiYoKVlRWjR4+mTZs2LFmyRNOhCSGEyMfyXMJMT5cuXfj777958uQJMTExzJgxgxYtWtCuXTvmzJlDbGxsmnOGDRtGWFgYc+bMYebMmQD8+eef9OvXj6ZNm9KiRQsmTZpETExMThdHCCFELqR2wjxy5Ahnz54F4O+//6Z37960aNGCOXPmkJCg2XcRLS0tAQgKCmL27Nm8fv0aT09PlixZwqNHj5g1a1aac+bPn4+pqSmurq6MHTuWkJAQfvjhB77++mt27tzJ3LlzuXTpEnv27Mnp4gghhMiF1Br0s2PHDpYsWcLgwYNp0qQJCxYsICIigg4dOuDn50eJEiUYPnx4dseaIX39DyuGPHz4kN9//52jR49iaGgIwIwZM+jcuTPPnz9XOcfQ0BBtbW309PTQ19cnIiICd3d3unbtCkCZMmWwt7cnMDAwZwsjhBAiV1IrYe7Zs4fu3bvj4uJCeHg4169fZ9y4cXTv3p3y5cuzbds2jSbM1C5Xa2trUlJS+Oqrr9Ic8+jRI7S1M55xpnz58hQuXJh169YRGBio/GrTpk22xS2EECLvUCthhoaG0rx5cwDOnz8PgIODAwCVKlXi1atX2RSeeh4+fAjAkydP0NXVZcuWLWmOMTY25s6dOxle48GDBzg7O+Pg4ICdnR29e/dm27Zt2RazEEKIvEWtZ5jFixcnOjoa+JAwy5cvj5mZGfAhSRkZGWVbgOo4cOAAVatWpVGjRsTFxZGcnIyFhQUWFhYALF26NN2BP//022+/YWtry48//kj37t2pXr06T548ISVF7ZkDhRBC5GNqtTDt7e3x9vbm6dOnnDx5koEDBwJw/PhxvLy8lK3NnBAbG0t4eDgAUVFRHDhwgGPHjuHh4YGlpSWNGjVi+vTpjBs3jsKFCzN//nySk5MxNjZO885lsWLFePToEa9fv8bQ0JDAwEBu3bqFgYEBe/bs4c6dO5ibm+dY2YQQQuReaiVMNzc3pkyZgre3N40bN1bO7LNs2TLKli3LiBEjsjXIf1q2bBnLli0DoGTJklSpUoVffvkFOzs7AGbOnMmiRYsYNWoUCoUCe3t7xo0bl+61/ve//7F8+XJCQ0OZMWMG9+/fZ9SoURQqVIg6deowZMgQDh8+nFNFE0IIkYtlarWSf3v27FmBb4HJaiUfJ6uVZJ7UVeZIfWWO1Nfny9Rcsi9evODSpUu8fPmSjh07EhUVhbGxMTo6XzwlrRBCCJGrqZ3pPDw82Lp1K0lJSSgUCho0aMCKFSuIjIxk5cqVlChRIjvjFEIIITRKrVGyPj4++Pj44OLiwvbt25UjRwcPHsyrV69Ys2ZNtgYphBBCaJpaLczdu3czYMAABg4cSFJSknJ7vXr1cHFxYf369dkWYG7n5aWv6RByNXPzfDFdsRBCqJcwX7x4Qe3atdPdZ2FhQVRUVFbGlKfUr19I0yEIIYTIAWr9+W9mZsbVq1fT3Xfr1q0CP1JWCCFE/qdWC7NLly6sWrWKokWLKqfIi4mJ4ejRo2zevFk5kYEQQgiRX6mVMPv27UtYWBienp54enoCMHLkSADat2+vnMigILp4UbNLm+Vm5uZaWFhkPOG9EELkJWolTIVCwffff0+vXr24dOkSUVFRFC9enDp16mBlZZXdMeZqzs6ywHRGvLz0JWEKIfINtRKmt7c3nTp1UpnQPFVISAg+Pj58//332RKgEEIIkRtkmDBDQkKU33t7e2NpaUliYmKa406dOsXBgwclYQohhMjXMkyYixcv5uzZswCkpKQwefLkdI9LSUmhUaNGat3M3t4eDw8P7O3tlduuXr3K6NGj6dy5c4aTpH/MqlWruH79OqtXr870uUIIIYS6MkyYEyZM4MKFCwDMnj2bAQMGpOmO1dbWRl9fn/r163/WzQMCAhg7diytW7dm7Nixn3UNIYQQIidkmDBNTU1xcnICICwsjK+++kq5aHRWCAkJwdXVFXt7eyZPnoxCociyawshhBBZTa1BP87OzsrvU1JSlHPJJicnEx8fz9WrVzO1iHRERASjR4+mcuXKzJ49G23t/xtJGR4ezsKFC7l48SLx8fFYWlri7u5O3bp1AQgMDGTu3Lncu3eP2rVrU65cOeW5vr6+rF69Gl9fX+W2YcOGUbt2bYYPH87MmTPR19cnMjKS06dPY2JiwqBBg5R/GHzq3kIIIQoutWb6CQ0NZdSoUTRu3JhGjRrRuHFjGjduTNOmTWnVqhXjx49X+4axsbG4urry/PlzZs+eTaFCqlPLTZ8+ncTERLy9vdm8eTNmZmbMnz8fgPfv3+Pm5kaZMmXYvHkzjo6O7N+/PxPF/TAvro2NDZs3b6Zhw4bMnz+f169ff/LeQgghCja1EubSpUu5desWX3/9NTY2Ntja2tKnTx+srKxQKBT8/PPPat9wwYIFABQqVIiNGzem2e/g4MD48eOxtLSkUqVKdO/enaCgIFJSUrhw4QJRUVFMmDCBihUr0r17d+XMQ+qqXLky/fv3p0KFCgwfPpx3797x999/f/LeQgghCja1umSvXLmCi4sLvXr14tdff+WPP/5g1KhRDB8+nJEjR/L777+r3SVrYGDAihUrOH78OAsXLqRFixbUqlVLub9bt24cPXqUGzdu8OjRI+7duwdAUlISQUFBlC1blmLFiimPr1atGv7+/moXuGzZssrv9fU/rDSS+rrMx+4ti2QLIUTBplYLMy4uDmtrawAsLS25f/8+ADo6OnTr1o1Lly6pfcMxY8ZgZGREt27dqFWrFrNmzeLdu3fAh2eiI0eOZMuWLZiZmdG3b1+mT5/+0et9KpH9czkyIE0XcKrPubcQQoiCQ62EaWxsTHh4OPBhOa/o6Gjlz4aGhkRERKh9w9QBPgqFgkmTJhEWFqZcgDooKIirV6+yYsUKBg8eTNOmTXn16pXyXCsrK548eUJ0dLRyW2ryhg/JMDY2VtmFmpKSQmhoqFpxfereQgghCja1EmaTJk1Ys2YNV65cwdTUFHNzc3x8fIiOjubAgQOYmpp+1s0tLS0ZOHAgW7du5caNG+jr66OlpcWxY8cICwvjxIkTysne379/j729PaVLl2b27NkEBgZy4MABTp48qbxe9erViY2NZdOmTYSEhLB8+XKV5Poxn7q3EEKIgk2thOni4oKRkZEygQwfPpzt27fTpk0bjh8/Tu/evT87gIEDB1KxYkVmz56NoaEhEyZMwMfHhx49erBhwwbGjh2Ljo4O9+/fR0dHhyVLlhAbG8uAAQPYt28f3bp1U17LwsICV1dXtm3bRt++fUlISKB169ZqxWFmZvbRewshhCjYFFFRUWoPAQ0PD8fY2BiAa9eucfPmTWrUqFGg31O0s4vUdAi5lpeXPvXrf3hmHBAQoHwOLj5O6ipzpL4yR+rr86nVwvT29ub58+fKZAlgZ2dHv379MDMzU74qIoQQQuRXslqJEEIIoYYcXa1ECCGEyKs0ulpJfuDlpa/pEHItc3O1evyFECJP0NhqJflF6qAWIYQQ+VumVyuBDyuGBAUFYWVlRcWKFbMjLiGEECJX+WjCPHv2LCtXrqRLly588803ACxfvpytW7eSkpKCQqGgW7dumVqtRAghhMiLMnzIdPPmTcaNG0dKSory2eXly5fx8fHB1taWjRs3Mm3aNA4ePMihQ4dyLGAhhBBCEzJsYfr4+FC7dm08PDyUE5zv3bsXhULBlClTKF++PFWrVuXhw4fs27ePjh075ljQucnFiwmaDiHXMDfXwsJC+9MHCiFEHpRhwrx+/TpjxoxRWQ3k4sWLWFpaUr58eeW2//znP+zduzd7o8zFnJ1jNB1CruHlpS8JUwiRb2XYJRsdHU2pUqWUPz969IioqKg00+Dp6OikO6GBEEIIkZ9kmDCNjIxUlre6ePEiCoWC//znPyrHBQUFUbJkyeyLUAghhMgFMuySrVu3Lvv27aNVq1akpKRw4MABihYtSsOGDZXHxMXFsWvXLuzs7HIi1k+KiIjAy8uLP//8k9evX2NmZkbbtm3p168fRYsW1XR4Qggh8rAME+bgwYMZPHgwXbp0QaFQ8Pz5c1xcXNDV1QVg9+7d/Prrrzx79ox58+blWMAZefHiBc7OzpQpU4aZM2dSunRpHj58yKpVqzh79iyrV6+WpCmEEOKzZZgwLS0tWbt2LT4+PkRGRiqTZyovLy+KFCnCggULqFy5ck7E+lE///wzpqamrFixQjlQqUyZMtSpU4eePXuydu1avvvuOw1HKYQQIq/66MQFlSpVYurUqenu27RpE8bGxmhpaX6+0IiICP78808WLlyoMqoXoHjx4vTs2ZMtW7Zw9+5dLCwsmDBhgnL/5MmTKVGiBOPGjSMoKIglS5Zw8+ZNdHV16dKlC0OGDMkVZRRCCKFZn50JTE1Nc00iuXfvHsnJydSoUSPd/XZ2dkRGRlK7dm1OnTpFUlISAPHx8Zw5c4Y2bdoQFRWFi4sLJiYmrFu3jgkTJvDrr7/i4+OTk0URQgiRS+WOjPeFoqOjgQ+tyfQYGBgAH94ZjY2N5erVqwCcOXMGIyMjatWqxZEjRyhSpAgTJ07E0tKS5s2bM3ToUDZv3pwzhRBCCJGr5YuEmZoQ//kazD+9fPkSgJIlS9K0aVOOHz8OwPHjx2nTpg0KhYKgoCCqVKmi0qVra2tLVFQUUVFR2VsAIYQQuV6+SJjVq1dHW1ubu3fvprv/zp07GBkZUbZsWdq2bcvvv/9ObGwsZ8+epU2bNgAULlw4zXnJyckAyi5cIYQQBVe+SJhGRka0bNkSb2/vNLMOxcTEsHXrVjp16oSOjg6NGzcmISGBTZs2UaZMGaytrYEPo4Lv37+vcv7NmzcxMDCgRIkSOVoeIYQQuU++SJgAY8aMIS4ujlGjRnHlyhWePXvGuXPnGDp0KGZmZso1PQsXLoyjoyNbt25Vti4B2rZtS1JSEnPnziUoKIjTp0/j6elJt27dcs3gJiGEEJqj1gLSeYGxsTFr165l/fr1zJw5k4iIiAxn+mnTpg0HDx5USZjFihVj2bJlLFq0iH79+mFkZESPHj0YNGiQJoojhBAil8k3CRM+dM26ubnh5ub20ePCw8OpUaOGcp3PVDY2NqxZsyY7QxRCCJFH5auE+SkhISHcuXOHtWvX0r9/f02HI4QQIg8pUA/nQkNDmT17NjY2NnTq1EnT4QghhMhDClQLs379+pw+fTpLr+nlpZ+l18vLzM0L1N9fQogCpkAlzOxQv34hTYcghBAiB0iTQAghhFCDJEwhhBBCDZIwhRBCCDXIM8wvdPFigqZDyFHm5lpYWGhrOgwhhMhxkjC/kLNzjKZDyFFeXvqSMIUQBZJ0yQohhBBqkIQphBBCqCFPJcyIiAjmz5+Pk5MTDg4OdO/eHS8vL+Lj4z/7mk5OTvj6+mZhlEIIIfKjPPMM88WLFzg7O1OmTBlmzpxJ6dKlefjwIatWreLs2bOsXr1aZUUSIYQQIivlmRbmzz//jKmpKStWrKBevXqUKVOGZs2a4enpycuXL1m7dq2mQxRCCJGP5YmEGRERwZ9//smAAQPQ0VFtFBcvXpyePXty4MABLly4gJOTE3v37sXJyYlWrVoxffp0lS7bPXv24OTkRIsWLdiwYYPKtZKTk9m8eTNdu3bFwcGBoUOH8uDBg5woohBCiFwuTyTMe/fukZycTI0aNdLdb2dnR2RkJKGhobx69Ypjx46xZMkSpk6dysmTJ5XPKP39/Vm8eDEjRozA29ubW7du8eLFC+V1vL298fHxwc3NjU2bNlGmTBlcXV2JjY3NkXIKIYTIvfJEwoyOjgY+tCbTY2BgAEBUVBRJSUm4u7tjbW1N8+bNadSoEXfv3gVg//79tG7dmg4dOmBlZcWUKVMoXLgwACkpKezcuZMhQ4bQrFkzLC0tmTx5Mjo6Ovj5+eVAKYUQQuRmeSJhpibEV69epbv/5cuXABgaGgJQrlw55T49PT0SExMBCAoKwtraWrnPyMiI0qVLAx+6faOjo6lZs6Zyv46ODtWqVSM4ODjrCiOEECJPyhMJs3r16mhraytbiv92584djIyMKFu2LECa55wpKSnpfv/PY4sUKZLutZOTk0lKSvrs2IUQQuQPeSJhGhkZ0bJlS7y9vZWtxVQxMTFs3bqVTp06oa398SnbrKysVJJuTEwMISEhAOjr62NsbMytW7eU+xMTE7l37x4VKlTIwtIIIYTIi/JEwgQYM2YMcXFxjBo1iitXrvDs2TPOnTvH0KFDMTMzw9nZ+ZPX6N69OydPnmTPnj0EBwczZ84c3r9/r9zfp08fvL29OX36tHJ/fHw8bdq0yc6iCSGEyAPyzMQFxsbGrF27lvXr1zNz5kwiIiIwMzOjbdu29OvXT61JC+rWrcu0adNYvXo1y5Yto0uXLlhZWSn39+rVi9jYWObOnUtMTAy1atVizZo1lCpVKjuLJoQQIg9QREVFpXz6MJERO7tITYeQo7y89Klfv1CmzwsICFAZcCUyJnWVOVJfmSP19fnyTJesEEIIoUmSMIUQQgg1SMIUQggh1JBnBv3kVl5e+poOIUeZm8vfWEKIgkkS5hf6nAEwQggh8h5pLgghhBBqkIQphBBCqEG6ZL/QxYsJmg4hS5mba2Fh8fEpBoUQoiCShPmFnJ1jNB1ClvLy0peEKYQQ6ZAuWSGEEEINkjCFEEIINeTaLll7e3uVnw0NDWnWrBnu7u7o6elpKCohhBAFVa5uYc6ZMwc/Pz98fX1ZvHgxd+/eZenSpZoOSwghRAGUqxOmgYEBxsbGmJqaUqtWLXr27Mnx48c1HZYQQogCKNd2yaanRIkSKj8nJyfj4+PDnj17CA8Pp3r16owdOxYbGxvgQ7fu4MGD2bNnD9bW1rRv3579+/fToEEDdu7ciba2Nq1bt2bMmDFoaX3428HX15fNmzcTGhqKpaUlrq6u1KtXL8fLKoQQInfJ1S3Mf4qKimLHjh20a9dOuc3b2xsfHx/c3NzYtGkTZcqUwdXVldjYWOUxp0+fxsvLC3d3dwBu375NUFAQnp6eDB8+nJ07d3L+/HngQ7JcsGAB/fv3Z8uWLTRo0IAxY8bw7NmznC2sEEKIXCdXJ8yxY8fSvHlzmjVrRps2bbh37x7ffPMNACkpKezcuZMhQ4bQrFkzLC0tmTx5Mjo6Ovj5+Smv0aVLFypUqICVlRUASUlJTJw4kYoVK/LVV19hbW3NnTt3ANixYwf/+9//6NixIxUqVOC7777D2tqanTt35nzhhRBC5Cq5ukv2hx9+wNbWFoA3b95w+PBhvv32W9avX4++vj7R0dHUrFlTebyOjg7VqlUjODhYua106dIq1zQyMkJf//9WGNHT0yMxMRGA4OBgBg8erHJ8rVq1CAoKyuqiCSGEyGNydcI0MTHBwsJC+XP16tU5d+4c+/fvT5PYUiUnJ5OUlKT8uUiRIir7CxVKu7pISkpKusemXi85Ofmz4hdCCJF/5Oou2fSkpKSQmJiIvr4+xsbG3Lp1S7kvMTGRe/fuUaFChc+6doUKFVSuB3Dr1q3Pvp4QQoj8I1e3MKOjowkPDwfg3bt3HDx4kKdPn9KqVSsA+vTpg7e3N6amppQvX55NmzYRHx9PmzZtPut+ffr0YebMmVSqVImaNWvi6+vLgwcPmDJlSpaVSQghRN6UqxPmpEmTlN8XKVIEa2tr5s2bp3yu2atXL2JjY5k7dy4xMTHUqlWLNWvWUKpUqc+633//+1/Cw8Px9PTk1atX2NjYsGLFCuWAISGEEAWXIioqKkXTQeRldnaRmg4hS3l56VO/ftrnvF8qICAAa2vrLL9ufiR1lTlSX5kj9fX58twzTCGEEEITJGEKIYQQapCEKYQQQqghVw/6yQu8vPQ/fVAeYm4uf0MJIUR6ZNCPEEIIoQZpTgghhBBqkIQphBBCqEESphBCCKEGSZhCCCGEGiRhZsL79++ZM2cOLVu2pF27dmzatEnTIeUqhw8fxt7eXuVr3LhxAISFhTFq1CiaNWvGN998w7lz5zQcrea8f/+enj17cuHCBeW2T9XPpUuX6N27Nw4ODgwbNownT57kdNgak159zZkzJ81nbdu2bcr9BbG+nj59iru7Oy1btsTJyYmlS5fy7t07QD5fWUUSZiYsX76cGzdu4OHhwcSJE1m/fj1Hjx7VdFi5RlBQEI6Ojvj5+Sm/pk+fTkpKCuPGjcPQ0JANGzbQsWNHJkyYQEhIiKZDznHv3r1jypQpBAYGKrd9qn6eP3/OuHHjaNeuHRs3bqRUqVKMGzeuQCw7l159wYfP2ujRo1U+a127dgUKZn0lJCQwduxYChcujLe3N7NmzeKPP/5g1apV8vnKQpIw1RQXF8f+/ftxd3enWrVqNG/enL59+7Jr1y5Nh5ZrBAUFUblyZYyNjZVfxYsX59KlSzx+/JiJEydSqVIlBgwYgK2tLQcOHNB0yDkqMDCQwYMH8/TpU5Xtn6qfffv2YW1tTf/+/alUqRJTp07lxYsXXLp0SRPFyDEZ1Rd8+KxVq1ZN5bNWtGhRoGDW1+3bt3ny5AnTpk3D0tKSunXrMnToUA4fPiyfrywkCVNNAQEBvH//ntq1ayu32dnZcefOHRITEzUYWe4RFBSU7tqht27dwsbGBj09PeW22rVrc/PmzZwMT+OuXbtGgwYNWLduncr2T9XPrVu3qFOnjnJf0aJFqVKlSr6vv4zqKzw8nOjo6AzXqS2I9VWhQgWWLl1KsWLFlNsUCgUJCQny+cpCMtOPmsLDwzEwMKBIkSLKbSVLliQhIYGoqCiMjY01GJ3mJSQk8PTpU86cOYOnpyfJycm0bNkSFxcXwsPDMTExUTm+ZMmSvHjxQkPRasbXX3+d7vZP1U94eHiaz1dBqL+M6isoKAhtbW1Wr16Nv78/hoaG9O7dGycnJ6Bg1leJEiWwt7dX/pycnMyuXbuws7OTz1cWkoSppvj4eAoXLqyyLfXn9+/fayKkXOXx48ckJSWhq6vL3LlzCQkJYdGiRbx9+5Z3795RqJDqkmGFCxcmISFBQ9HmLvHx8R+tn/Q+e4UKFSqwn7vg4GAArK2t6dGjB1euXGHu3LkULVqUVq1aSX0BS5cu5f79+2zYsIGtW7fK5yuLSMJUU+HChdN8gFJ/Tn12UpBZWVlx9OhRjIyMALCxsSElJYUpU6bQpUsXYmNjVY5///691Nv/V6RIkY/WT3qfvYSEBAwNDXMsxtyke/futGnTRll+a2trHj9+zO7du2nVqlWBrq+UlBQWL17Mr7/+yrx587CyspLPVxaSZ5hqMjU15c2bNyqtolevXlG4cGEMDAw0GFnukZosU1WsWJHExESMjY159eqVyr6IiAhKlSqVg9HlXiYmJh+tH1NT0zT7X716VWAfAygUijS/zC0tLXn58iVQcOsrOTmZ2bNns3v3bubMmUPz5s0B+XxlJUmYarKxsaFQoULcuHFDue369etUrVoVHR1pqJ86dYp27dqp/EHx4MEDihcvTs2aNXnw4AFxcXHKfdeuXaNmzZqaCDXX+VT91KxZk+vXryv3xcfH8+DBgwJbf0uXLsXNzU1l2/3796lYsSJQcOtr6dKlHDlyhPnz59OiRQvldvl8ZR1JmGoqWrQoHTp0YMGCBdy+fZvTp0+zZcsWevTooenQcoU6deqQkpLCnDlzePToEWfOnGH58uX07duXevXqYW5uzsyZM/n777/ZuHEjt27dokuXLpoOO1eoW7fuR+unU6dO3L59m3Xr1hEYGMiPP/6ImZkZ9evX12zgGtKsWTP8/f3ZsWMHT58+ZdeuXfj5+dG3b1+gYNbXzZs32b59Oy4uLlSrVo3w8HDll3y+so4s75UJ8fHxzJs3j1OnTqGnp0efPn3o06ePpsPKNe7fv8/SpUu5c+cO+vr6dO3alW+//RaFQsGTJ0/48ccfuX37NmXLlsXNzY2GDRtqOmSNsbe3x8PDQzmy8VP1c+7cOZYsWcKzZ8+oWbMmkydPply5cpoKP8f9u76OHTvG2rVrefr0KWXLlmXYsGEqraqCVl/Lli3Dx8cn3X3nzp0jLCxMPl9ZQBKmEEIIoQbpkhVCCCHUIAlTCCGEUIMkTCGEEEINkjCFEEIINUjCFEIIIdQgCVMIka+lpMiLACJrSMIUIh3Dhg2jUaNGGS5x5OzszLBhw3IkltDQUOzt7dm3b1+O3C8zXrx4wYgRI3BwcKBVq1Y8fvw4zTG+vr7Y29urfDVt2pSuXbsyf/585ZR22SEwMBBnZ2flEny5uS5F7idzugmRgaSkJGbOnMmWLVtkovgMbN26lStXrjBlyhRMTU0pU6ZMhsf+9NNPymWm4uLiCAoKYvPmzZw6dYq1a9dStmzZLI/v+PHjKtNZCvElpIUpRAb09fV5/Pgxv/zyi6ZDybWio6MpVaoUTk5O2Nvbf3Re5apVq2JnZ4ednR2NGjWid+/eeHt7k5CQwNy5c3MwaiE+jyRMITJgZWVF586d2bFjB1euXPnoscOGDcPZ2Vll25MnT7C3t8fX1xeAy5cvY29vz4ULF5TdmJ06dWLv3r1EREQwZcoUHB0dad++PR4eHmmevb169Ypx48bh4OCAk5MTq1evVnY1pvrzzz8ZOHAgDg4OtG3blnnz5hETE6Pc7+vrS6NGjfD19aVDhw60atWK27dvp1ummJgYli5dSteuXWnatCk9evRQ6crs3Lkzvr6+vHz5Ent7e2bOnPnJOv23smXL0rVrVy5cuMDTp0+V2wMDA3F3d6dFixY0b94cNzc3Hj16pHJuaGgo06dPp0OHDjRq1Ii2bdsyffp0oqKiAJg5cybe3t4ANG7cWPn/ABAZGcmUKVNo0aIFLVq0YMqUKcrzAEJCQvj+++9p06YNDg4O9OvXjyNHjmS6fCJ/kYQpxEeMGTMGc3NzZs+erbLaw5eYMmUKDRo0YMGCBVhYWDB//nyGDx+OqakpP/30E40bN2bTpk0cO3ZM5Txvb2+KFSvG3Llz6dChAxs2bGDVqlXK/ceOHWPcuHGYm5szZ84cnJ2dOX78OK6uriqJNSkpiTVr1jB+/HhGjhxJlSpV0sQYHx+Ps7Mzhw4domfPnsyfPx9bW1vmzJmjTEJz586lcePGlChRAk9PTwYNGvRZ9ZE6p+m1a9eAD39oDBkyhGfPnjFx4kQmT57My5cvGTJkCM+fP1fGN3z4cP7++2/c3NxYunQp3bt35+jRo3h4eAAwaNAgOnXqBMDq1atp3Lix8p6enp7o6+szd+5cBg8ezIkTJ1iwYAHwYZksNzc3IiMjmTRpEgsWLKBcuXJMnTpVGaMomOQZphAfoaenx5QpUxg5ciQrVqzg+++//+Jrtm/fngEDBiivP2TIEKysrBg9ejQAjRo14sSJE1y/fp02bdooz/vPf/7DrFmzAGjatCnx8fHs3LmTfv36YWhoyPLly6lbty7z5s1TnmNtbY2zszMnTpygbdu2yu0DBgxQmaz833x9ffn7779ZvXo1devWBaBJkyYkJSWxYcMGunXrRvXq1SlRogSFChXCzs7us+sjdV3G1DUZvby80NbWZtWqVcp1Lxs3bszXX3/NunXrmDhxIo8fP8bY2Jhp06ZRoUIFABo0aMDdu3eVvQHly5fHzMwMAFtbW3R0dAgNDQXAwcGBH374AfiQsO/evcuFCxeAD63P4OBgZs2ahaOjIwD169fHxMQEhULx2eUUeZ+0MIX4hPr169OtWzd2796t/KX6Jf6ZXFIX6bW1tVVu09LSwsDAgDdv3qic98/kCdCiRQvevXvHjRs3ePz4Mc+fP8fR0ZHExETlV40aNTA2Nuavv/5SObdy5cofjfHKlSuYmpoqk2Wqjh078v79+wxHD3+J1GR08eJF6tWrh56enrIcRYsWxd7envPnzwMf1qddu3Yt5cuXJyQkhPPnz+Pj48OjR494//79J+/173KVK1dOWd8lS5akcuXKzJkzh9mzZ3Ps2DFiYmJwd3endu3aWVxqkZdIC1MINYwaNQp/f39+/PFHtm7d+kXXKlasWJpt/x6Fm15LJrUllqpkyZLAh4E3qc/fFi1axKJFi9Kc++9XN/59rX+Ljo5WXj+98/6dzL9EamympqYAREVFcfLkSZUu1FT/HFS0fft2NmzYQEREBCVLlqRatWoULVqUd+/effKe6dV36jNjhUKBh4cHGzZs4Pfff+fgwYNoa2vTsGFDfvjhB2WrVRQ8kjCFUIOuri5Tp05l+PDhLF26NM1+hUJBUlKSyrbY2Nh0r/W53XrR0dEqP6d2YZYsWRJ9fX0Avvvuu3QX/tXT08vUvQwMDAgODk6zPTW5GRkZZep6H3Px4kUUCgV16tQBoHjx4tSrV49+/fpleM7hw4dZvHgxo0aNwsnJiRIlSgAwceLELGn9lixZEnd3d9zd3Xn06BG///47a9euZd68eSxZsuSLry/yJumSFUJNdevWpUePHhw4cICHDx+q7NPT0+PFixcqI1svX76cpfc/ffq0ys9HjhyhSJEi1KxZk4oVK1KyZElCQkKoXr268qtMmTKsWLEi00mkbt26vHjxIs3o4MOHD6OtrU3NmjW/uDwAz58/Z+/evTRt2lTZcqtbty6BgYHY2NiolGXHjh3KkarXr1+nWLFi9OvXT5ksY2NjuX79OsnJycrra2trZzqmGzdu0K5dO+Xo4QoVKjBgwADq1atHWFjYlxZZ5GHSwhQiE0aMGMG5c+fSzGjj4ODA6dOnmT9/Pv/973+5d+8eu3btytJBImfOnGHx4sU0btyY8+fPs2/fPoYMGYKBgQHwoXX5448/AtCsWTPi4uLYtGkTT58+zfRgJScnJ3bt2sWECRNwdnambNmynD59moMHDzJo0CDlYJzMuHfvnrJVHB8fT0BAADt27KBIkSKMHz9eeZyzszODBw9m1KhRdO/eHV1dXQ4cOMDJkyeVr67UqFGD3bt3s2jRIhwcHHj58iU+Pj68evVKpcs7teV99OhR6tWrp1acVapUoWjRokybNo3BgwdjYmLCrVu3OH/+PEOGDMl0uUX+IQlTiExI/UXq4uKist3JyYnQ0FAOHjzIoUOHqFmzJkuWLPlot2Jmubu7c+LECfbs2UOpUqVwdXWld+/eyv2dOnVCT0+PTZs24efnR9GiRalVqxaTJ0/G0tIyU/cqWrQoa9asYeXKlaxbt46YmBjKly/PpEmT6NKly2fFP3nyZOX3enp6mJmZ0aFDB3r06KHyTNXKygovLy9WrVrFjz/+SHJyMpaWlsyZM4dWrVoBHwYfhYaGcuDAAfbt24eJiQmNGzfmm2++Yc6cOQQEBGBtbU2bNm3w8/Pjp59+wsXFhdatW38yziJFiuDh4cHKlStZsWIFb968oXTp0gwfPjxL/z9F3qOIioqSmYmFEEKIT5BnmEIIIYQaJGEKIYQQapCEKYQQQqhBEqYQQgihBkmYQgghhBokYQohhBBqkIQphBBCqEESphBCCKEGSZhCCCGEGv4fcxqPZAYLEdYAAAAASUVORK5CYII=\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "covidngdeaths_plot = sns.barplot(x='Number of Deaths', y='States Affected', data=covidnig_10Deaths, color = 'blue').set_title('Highest Death Cases')\n" - ] - }, - { - "cell_type": "markdown", - "id": "204b639c", - "metadata": {}, - "source": [ - "Lagos having the highest death cases also due to its high population and number of confirmed cases." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8dea2020", - "metadata": {}, - "outputs": [], - "source": [ - "#Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "id": "de574c85", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Lat 9.0820\n", - "Long 8.6753\n", - "1/22/20 0.0000\n", - "1/23/20 0.0000\n", - "1/24/20 0.0000\n", - " ... \n", - "8/18/22 262748.0000\n", - "8/19/22 262748.0000\n", - "8/20/22 262912.0000\n", - "8/21/22 262912.0000\n", - "8/22/22 262912.0000\n", - "Name: Nigeria, Length: 946, dtype: float64" - ] - }, - "execution_count": 93, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#extracting data for confirmed cases in Nigeria\n", - "confirmed_nig = JH_confirmed_global.groupby('Country/Region').sum().loc['Nigeria']\n", - "confirmed_nig" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "id": "eb9f4215", - "metadata": {}, - "outputs": [], - "source": [ - "TotalConfirmed=JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "id": "7658da46", - "metadata": {}, - "outputs": [], - "source": [ - "TotalRecoveries=JH_Daily_Recovery_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "id": "9a3442af", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Recovered Cases 39492087\n", - "dtype: int64" - ] - }, - "execution_count": 96, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalRecoveries" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "id": "1a7e95d0", - "metadata": {}, - "outputs": [], - "source": [ - "TotalDeaths = JH_Daily_Deathsdf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "id": "1b6acec0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Country/Region AfghanistanAlbaniaAlgeriaAndorraAngolaAntarcti...\n", - "Death Cases 3210225599\n", - "dtype: object" - ] - }, - "execution_count": 98, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalDeaths" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "id": "30b584e7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Confirmed Cases 135384240\n", - "dtype: int64" - ] - }, - "execution_count": 99, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalConfirmed" - ] - }, - { - "cell_type": "code", - "execution_count": 100, - "id": "4bb78c77", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Totaldeaths=JH_Daily_Deathsdf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 101, - "id": "b03e0e6d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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total
Confirmed Cases134858416
Recovered Cases39492087
Death Cases1768099
\n", - "
" - ], - "text/plain": [ - " total\n", - "Confirmed Cases 134858416\n", - "Recovered Cases 39492087\n", - "Death Cases 1768099" - ] - }, - "execution_count": 101, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Getting a dataframe for total daily cases\n", - "z = np.array([134858416, 39492087, 1768099])\n", - "df2 = pd.DataFrame(z, columns=['total'], index=[\"Confirmed Cases\", \"Recovered Cases\", \"Death Cases\"])\n", - "df2" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "id": "c134d84c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Confirmed Cases')" - ] - }, - "execution_count": 102, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for confirmed cases in Nigeria using seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Confirmed_Nigeriadf , x = 'Date', y = 'Confirmed Cases').set_title('Daily Total Confirmed Cases')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b4c5b23", - "metadata": {}, - "outputs": [], - "source": [ - "The apparent increase in daily confirmed cases are cummulative values" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "id": "fb51b47b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Recoveries')" - ] - }, - "execution_count": 103, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for Recovered cases in Nigeria using seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Recovery_Nigeriadf , x = 'Date', y = 'Recovered Cases').set_title('Daily Total Recoveries')" - ] - }, - { - "cell_type": "markdown", - "id": "d65ffa95", - "metadata": {}, - "source": [ - "Increased daily recovery cases were recorded. These records again were cummulative values. No record of recovery in Nigeria was recorded from 2021-09 because only death cases were recorded as cummulative lac confirmed cases increased as time of data retrieval in August 2022." - ] - }, - { - "cell_type": "code", - "execution_count": 106, - "id": "b7211359", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Deaths')" - ] - }, - "execution_count": 106, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for death cases in Nigeria using a seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Deathsdf , x = 'Date', y = 'Death Cases').set_title('Daily Total Deaths')" - ] - }, - { - "cell_type": "markdown", - "id": "906c6d18", - "metadata": {}, - "source": [ - "Record for daily total deaths were cummulatively increasing as at the time of data retrieval in August 2022." - ] - }, - { - "cell_type": "code", - "execution_count": 107, - "id": "d57cb913", - "metadata": {}, - "outputs": [], - "source": [ - "#Determine the daily infection rate, using the Pandas diff method to find the derivate of the total cases.\n", - "JH_Daily_Confirmed_Nigeriadf['Infection Rate'] = JH_Daily_Confirmed_Nigeriadf['Confirmed Cases'].diff()" - ] - }, - { - "cell_type": "code", - "execution_count": 108, - "id": "2e78df9a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateConfirmed CasesInfection Rate
02020-01-220NaN
12020-01-2300.0
22020-01-2400.0
32020-01-2500.0
42020-01-2600.0
............
9392022-08-1826274884.0
9402022-08-192627480.0
9412022-08-20262912164.0
9422022-08-212629120.0
9432022-08-222629120.0
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944 rows × 3 columns

\n", - "
" - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "0 2020-01-22 0 NaN\n", - "1 2020-01-23 0 0.0\n", - "2 2020-01-24 0 0.0\n", - "3 2020-01-25 0 0.0\n", - "4 2020-01-26 0 0.0\n", - ".. ... ... ...\n", - "939 2022-08-18 262748 84.0\n", - "940 2022-08-19 262748 0.0\n", - "941 2022-08-20 262912 164.0\n", - "942 2022-08-21 262912 0.0\n", - "943 2022-08-22 262912 0.0\n", - "\n", - "[944 rows x 3 columns]" - ] - }, - "execution_count": 108, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Checking if new data has been created\n", - "JH_Daily_Confirmed_Nigeriadf" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "id": "edf41ce5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 109, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Generating a line plot for daily infection rate in Nigeria from global data\n", - "plt.figure(figsize = (20,10))\n", - "sns.lineplot(x = 'Date', y = 'Infection Rate', data = JH_Daily_Confirmed_Nigeriadf)" - ] - }, - { - "cell_type": "code", - "execution_count": 110, - "id": "09f7b2d2", - "metadata": {}, - "outputs": [], - "source": [ - "#Calculating maximum infection rate for a day (Number of new cases)\n", - "#Find the date\n", - "Highest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].max()" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "id": "8baf6f59", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "6158.0" - ] - }, - "execution_count": 111, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Highest_infection_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "id": "d0baa6e0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
DateConfirmed CasesInfection Rate
7002021-12-222314136158.0
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" - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "700 2021-12-22 231413 6158.0" - ] - }, - "execution_count": 112, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == 6158.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "id": "fe6fc629", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-30.0" - ] - }, - "execution_count": 113, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Calculating minimum infection rate for a day (Number of new cases)\n", - "Lowest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].min()\n", - "Lowest_infection_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "id": "39a3618a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateConfirmed CasesInfection Rate
8122022-04-13255633-30.0
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" - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "812 2022-04-13 255633 -30.0" - ] - }, - "execution_count": 114, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date for minimum infection rate\n", - "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == -30.0]" - ] - }, - { - "cell_type": "markdown", - "id": "d06167ae", - "metadata": {}, - "source": [ - "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset. \n", - "# Will generate and explain a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. " - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "id": "a9211792", - "metadata": {}, - "outputs": [], - "source": [ - "#Combine the two dataset together on a common column(states)\n", - "NCDC_external = covidnig_rn.merge(covid_external, on = 'states', how = 'inner')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 116, - "id": "609028d1", - "metadata": {}, - "outputs": [], - "source": [ - "#Obtain top 10 Lab confirmed cases fro external data using df.nlargest()\n", - "Top10_NCDC_external = NCDC_external.nlargest(10, 'No. of Cases (Lab Confirmed)')" - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "id": "9582ba5f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
16Abia980.025.0945.010South East41900000.20.90.60.10.30.90.20.01.14
17Osun979.020.0937.022South West52520000.00.70.40.40.00.80.10.21.06
18Bauchi897.0108.0775.014North East72700000.80.10.20.80.80.20.80.80.85
19Borno778.037.0705.036North East66510000.90.30.11.01.00.10.70.90.89
20Imo734.061.0661.012South East60180000.41.00.90.00.40.90.40.01.12
21Benue515.044.0460.011North Central63760000.50.70.50.70.40.40.30.50.91
22Bayelsa497.055.0421.021South South26060000.50.80.60.10.90.50.20.71.00
23Ekiti405.024.0375.06South West35930000.30.80.30.50.20.80.10.41.03
24Akwa Ibom395.044.0342.09South East60930000.70.80.70.60.80.80.50.11.01
25Jigawa386.057.0318.011North West64350000.90.40.00.70.60.50.90.80.92
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" - ], - "text/plain": [ - " states No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "16 Abia 980.0 25.0 \n", - "17 Osun 979.0 20.0 \n", - "18 Bauchi 897.0 108.0 \n", - "19 Borno 778.0 37.0 \n", - "20 Imo 734.0 61.0 \n", - "21 Benue 515.0 44.0 \n", - "22 Bayelsa 497.0 55.0 \n", - "23 Ekiti 405.0 24.0 \n", - "24 Akwa Ibom 395.0 44.0 \n", - "25 Jigawa 386.0 57.0 \n", - "\n", - " No. Discharged No. of Deaths region Population \\\n", - "16 945.0 10 South East 4190000 \n", - "17 937.0 22 South West 5252000 \n", - "18 775.0 14 North East 7270000 \n", - "19 705.0 36 North East 6651000 \n", - "20 661.0 12 South East 6018000 \n", - "21 460.0 11 North Central 6376000 \n", - "22 421.0 21 South South 2606000 \n", - "23 375.0 6 South West 3593000 \n", - "24 342.0 9 South East 6093000 \n", - "25 318.0 11 North West 6435000 \n", - "\n", - " Overall CCVI Index Age Epidemiological Fragility Health System \\\n", - "16 0.2 0.9 0.6 0.1 0.3 \n", - "17 0.0 0.7 0.4 0.4 0.0 \n", - "18 0.8 0.1 0.2 0.8 0.8 \n", - "19 0.9 0.3 0.1 1.0 1.0 \n", - "20 0.4 1.0 0.9 0.0 0.4 \n", - "21 0.5 0.7 0.5 0.7 0.4 \n", - "22 0.5 0.8 0.6 0.1 0.9 \n", - "23 0.3 0.8 0.3 0.5 0.2 \n", - "24 0.7 0.8 0.7 0.6 0.8 \n", - "25 0.9 0.4 0.0 0.7 0.6 \n", - "\n", - " Population Density Socio-Economic Transport Availability Acute IHR \n", - "16 0.9 0.2 0.0 1.14 \n", - "17 0.8 0.1 0.2 1.06 \n", - "18 0.2 0.8 0.8 0.85 \n", - "19 0.1 0.7 0.9 0.89 \n", - "20 0.9 0.4 0.0 1.12 \n", - "21 0.4 0.3 0.5 0.91 \n", - "22 0.5 0.2 0.7 1.00 \n", - "23 0.8 0.1 0.4 1.03 \n", - "24 0.8 0.5 0.1 1.01 \n", - "25 0.5 0.9 0.8 0.92 " - ] - }, - "execution_count": 117, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Top10_NCDC_external" - ] - }, - { - "cell_type": "code", - "execution_count": 118, - "id": "9a6421b6", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 2-axis plotting to establish relationship between overal CCVI index and Lab confirmed cases \n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['No. of Cases (Lab Confirmed)'])\n", - "ax1.set_ylabel('No. of Cases (Lab Confirmed)')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'r-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='r')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('r')\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "bffcdf76", - "metadata": {}, - "source": [ - "Benue, Borno, Bayelsa, Ekiti, Akwa-Ibom and Jigawa all indicated inverse relationship between the No. of Cases (Lab Confirmed) and Overall CCVI Index i.e as Number of Cases (Lab Confirmed) decreased, Overall CCVI Index tended to increase across these states with Jigawa having the highest overall ccvi index but with lowest lab confirmed cases. For Abia, Osun, Imo, overall ccvi index were lower at higher confirmed lab csaes. Bauchi state showed that high number of confirmed cases was at par with its high overall ccvi index i.e the impact of covid crisis can be directly linked to number of confirmed cases. Inverse relationships for other states further suggests that impact of covid crisis is unconnected to number confirmed lab cases alone." - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "id": "729ce8f8", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 2-axis plotting to establish relationship between overal CCVI index and Socio-Economic index\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Socio-Economic'])\n", - "ax1.set_ylabel('Socio-Economic')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'g-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='g')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('g')" - ] - }, - { - "cell_type": "markdown", - "id": "749e0d26", - "metadata": {}, - "source": [ - "For the top 10 states, here we see some direct correlation between Socio-Economic indices and overall CCVI index in most states. Generally Overall CCVI index are higher than Socio-Economic indices as Osun and Bauchi and Jigawa. Osun state had the lowest and equal Socio-Economic indices and Overall CCV index. Jigawa had the highest and equal Socio-Economic index and Overall CCVI index. It can be infered that the impact of the covid crisis is generally higher and can be traced to Socio-Economic indices such as poverty, unemployment, e.t.c " - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "id": "03328e1e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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zXC4TGhvfxvHjo1BRcTus1sIO95NIzkNOzgYMHrwPavWCXpdnx+GIoFLdwmqL5RKB/tJJziI/jAmCCDWGYVBb+wTq6p71uoWH7Ox3z1SJIqIFCbijWEECHxunKcHzuBJkdQHX/9iMcoNvvi8RPZzOZtTVPY/jx4eipuYRn9JMZ8nlFyMvbysGDPgRCsW8Xp1j51si8BQMht2R61A3MQyD770C7jlJ7Pfj1nIrSSshCCJkGMaJysp70Nj4BqudokTIzf0vEhKujFDPwoembaisvA9HjmTh6NEBaGh41e++RuPvOHlyCg4fTsPJkxdCr/8pjD1tQwLuKHdRmgirJypYbU1WGlfvaEaLjZQLjDY0XYfq6n/g2LGhqK//F1yulg724kChuBIDB+5GXt4XkMsn94n8OoEgHQrFXFabRrMmQr3pviNaB2o86uOLuRTuzbFD4vHLuMbswkENWbiKIIjgo2kbysoWQqv9P1Y7hxOHvLxNiI+/NEI9C6/a2idgMu1DXt4W9Ou3GvX1L6Gl5Quf/RwODUpLr4NCMR+DBv0GheJvKC29EXZ7ZVj7SwLuGHDTACmWD5ez2opbnfj7T82wucgoWjSw22tQXr4EZvPfoNGsA8P4phRQlAhq9WIUFPyJnJz3IJGMiEBPI8t78qRe/z1strII9aZ7vNNJLkoTQsEHLs1gVxciaSUEQQSby2VEaem1aG39itXO46mRn/8VZLKJEepZeLlcJjQ1bUR6+vOQSEZCoZiF5OR7odG847OvybQHAJCSsgxCYQ5SUh4EhyOCyXQgrH0mAXeMeOw8Oa7KZS/Z/Vu9Hff81hKzebC9BcM4UFw8+8wkQN+VQbnceCQnL8eQIUfRr99LEAqzw97HaCGVjoNY7PlDg+nwAzKaeQfcl2e2Bdrzsr0C7goLeW8SBBE0TmcLSkrmw2DYxWrn8zOQn/9dnxrEsViOgWFskMnGt7dJpeNhNv8JhmGn+PF4yjMT9TeDYRjodNtA00aIxUPC2mdKp9P1mW+E4uLiSHeB6IWczv2wWu/0aaeoJPD5N4DPnw+KIit7neVwbIPN9rRHixRS6TegKEnE+kQQBBHNaLoJVuvdoOnTrHaKyoZY/Do4nNgtHXsu+fn5Pm063RZUVi7D8OGl7W1W6ymcODEOQ4eeZJXSZRgG1dX/OLP+AweAC5mZr0GlWhCG3rvxwvpoEdbRkxYKxcXFIXssrdWF6V9rcFrPHkl980IFbsyPjqAulOcfjWprP4bVY9BTIMhCSso/kJBwNTgcQeQ6FmZdfd5p+g4cP/6mx7LDJiQk7Edi4uLQdjAINpwy4b7fde3b56n5+GlOUvu53/RTM76qcL8Y7hsqw9Njekdpx870tfe8J3Lu5NxDzWYrR0nJHaDpcla7WDwS/ft/Dj5fHZZ+eIr0c0/TFp9qXhQlPHObzWtfE+z2SqSkLEd8/GwYDLtQXf0IRKLBkErHhKvLJKUk1ihFXHw2XQ2VkP3U3febDrtrOy9VRoSGwbCTtZ2a+jhUqhv7VLAdiI5LBK4Dw0T/JOBvvdNJvFaFnZfNTvvaXE7SSgiC6D6LpRBFRTNgt5ez2mWyC5CfvzUiwXY0oCiRT2DNMG3bHA77amlj42tgGBtSUx+DRDICycn3QaGYg/r6l8LWXyCCAbfdbsd1112Hffv2nXPfQ4cOYc6cOT7tO3bswBVXXIFJkyZh+fLl0Gq1oehq1MmN4+G/Fysh9Kgg52SAm3ZqcVJHKiOEk9Ophdl8iNUml18Ukb7EkrYSge4LbDZbkU9eYrSxOBns9lpdckYmO8C+rJ+I9b6sMLpwuJm8JwmCCJzJdADFxTPhdNaz2uPiZqB//8/B5cZFqGeRx+enwuXSgabd65I4HA2gKCF4vATWvmbzXxCJBrPaxOKRPj9iQi0iAbfNZsPjjz+O0tLSc+5bUlKChx9+2GeUqLCwEM888wwWLVqE9evXw2QyYeXKlSHqcfQZlyzE2klKVpvezuDqHc1oMPtO3CNCw2D4GZ6re3E4+eDzEyPXoRghEKRBoZjHatNo1kaoN12zu84Ki0dVoAwpF0MT2Fl5cj4HF6eTaiUEQfSMXr8LJSXz4HLpWO0JCdcgN/dDcDjiju/YR0gkw0BRAphMe9vbTKY9kEhGgqLYn8t8fgosluOsNputCAJBdji62i7sAXdpaSkWLVqE6uqOFwLxtGnTJixevBhKpdLntk8++QRTp07F7NmzkZ+fj5UrV2LPnj2oqqoKRbej0vwcMZ4+n/0Lt8rownU/NsPkiP7L872B96gslzsuIv2IRUlJviUCrdbTfvaOvO8q2ekkM/qJOqyf7p1WsoWklRAEEQCdbitKS68BTZtY7Wr1bcjKWgOK4keoZ9GDw5FAqbwe1dXLYTIdRGvrN2hoeKO99KzD0QCabhvsUKlugdH4GxoaXoXNVo7m5o1obv4ISUm+xQ5C2uewPhra0kPGjRuH9evXn3Pfffv24amnnsINN9zgc9uxY8cwatSo9u3k5GSkpqbi6NGjQe1vtLt3qAwLB7Lzlf5qcuC2n1vgosmXfKh5529zuWMj1JPYI5GMgUQyitXW1BSdJQIZhsH31b4Bd0dm9BNB4PHJWmpw4VgLWRmWIIhza27+P5SV3QKGsbPaU1L+gYyMF0FRZOrdWRkZz0EiGYWSkrmorHwAKSkrkJBwBQDg2LGBaGnZBACQSkcjN/djtLRswsmTF6CxcQ2ys9dBLp8S1v6GvUrJFVdc0eV9X3jhBQDAtm3bfG5rbm6GWs2eLKBUKtHY2NizDsYYiqLw7/EKVBld+KHGnV/6TaUVj+1vxQvjFJHrXC9ns5XBbq9o36YoAbjcUZ3cg/BEURQSE5eiouL29rbm5o+QmvoYuFx5J/cMv8PNDtSZ3VeNpDwKF6YIO9w3XsDB1HQRa/n3LWUWDFOSUSmCIPxrbHwTNTWP+bSnp/8z7KOxsYDDkSAraw2ysnxXLB41Ssfajo+/NOIrcMZsWUCr1QqBgF0Fgs/nw263+7lHeOtwh7vm9+P9gAqdCMUm96/fNYUmSK0tuC4t/KNrfaHmucPBXkKWwxkOihL1iXP3J9BzZ5hhoCglGKZtwjNNG3Dy5GsQCK4JRfe67aMKPgB3wDwm3oGqshLWPp7nPkHExfdwB+SfFrfiGnkDOshA6TXI675vIufecwzDwG5fA4fD+8o/B0Lh42htnY7W1uj7O4frue8tpSdjNuAWCAQ+wbXD4YBI1PFlXqB31OHuzOZMFy7Z1sgaiftPqQCjc1IwMzN8EywiXZ8zXMrKCmHzKFqRlDQTBkPv+XAIVHef97q6xaivf7F9m6K+RF7eI1F16XRvYSMAd7WRqwarke9R99773G/JpPHc6TqcnUpRaeHAmZiNgoTeOcrdV97zHSHnTs69JxiGRnX1QzCZ2ME2RQmQnb0eCsXsHj9GKPTl5767oucbLUCJiYlobm5mtXWUZtKXpEu5+OQSFWQ89zAaA2Dx7hb81eR/5J8IHMO4zlQocYuLmxqh3sQ23xKBJTAYfopch7zUmFw4onUH2xSAyzL8/7AHAIWQg4tS2Sknm0m1EoIgPDCMAxUVS33mrnA4UvTv/1nUBttE98RswD106FAcPny4fbuhoQH19fUYOnRoBHsVecNVArw/VQmux6Vrs5PBtT80o9JIJm4Fi9l8iFWuictNgFg8PHIdimF8fgoSEv7GaoumEoHfey12c34iH4lirp+93eblsK8qbSUBN0EQZ9C0BaWlf0dLy2esdi43AXl5W8M+oY8IvagKuJuammC1dm21xCuvvBLff/89Nm/ejJKSEqxcuRITJ05EZmZmiHsZ/aZniPDSeAWrrdFC49odzdDZSLnAYPCuTiKXTwFFnTsIIzp2tpTTWXr9DlitJX72Dq/vqtiB8ox+XUvPmpUphsfFJpzUOcnCVARBwOVqxenTV0Kv/57VzuOlID//G0iloyPUMyKUoirgnjlzJn744Ycu7Tt8+HA8+uijWL9+PW699VbIZDI89dRTIe5h7Fg4SIp7h8pYbSd0Tty8Uwu7i5QL7Cnv+ttkdcmekUrPh0TC/pJpaloXod64mRw0dtd5rS7ppxygtwQhB5O90krIIjgE0bc5HE0oLp4Lo/F3VrtAkI0BA76DWDzYzz2JWBfRSZPey7r7W+Z99uzZmD3bN5fJXzvRZuX5cagwOrGl3H3VYHedDcv+0OGNCxQdLtpBnJvLZWKtbgWQgDsY2koELmnfbm7+L1JTH4/o8sW7am2weSzc2k/GRUFC1z825+eI8ZPHcvBbyi14aGTfXY6ZIPoyu70KJSVXwGZjV/cQiQqQl7cJfH5KhHpGhENUjXATwcWhKKyZpMTYRHb5xI+KzXjpsCFCvYp9RuPvYBh3aoBAkAOhMDtyHeolFIr54PGS27dp2ojm5v9GsEfAd1VdW13Sn1mZItZ8isIWJ4pbSVoJQfQ1Vmsxioou9wm2JZIxyM//mgTbfQAJuHs5MY/Cfy9RIlvOzi9+7i8DPj1tjlCvYpt3/japThIcHI4AavVCVltT0zowTGTmHdAdrC55eRfTSc5SibiY5JNW0rV5KgRB9A5m8yEUF18Oh6Oa1S6XT0Ve3mbweAkR6hkRTiTg7gPUIi4+m66CQsAembv71xb8Vm/zcy/CH9/8bTKbPFjU6oWgKHetaputFHp91+Z1BNtfTQ40WtzBvoxH4QI/q0t2Zl4We5IlyeMmiL7DaPwNxcVz4XQ2sdoVinnIzf0fuFypn3sSvQ0JuPuI/Hg+PrpYBYHHM26ngRt/bCaXuAPgcDTAai30aOFAJiMBd7Dw+clQKKKjROC3Xukk09KFEHIDn/cwO0sEjsfdjmodKNWTEp0E0du1tn6PkpIrQdN6VrtKdROys9eDwwn8BzwRu0jA3YdckCLEmxeyL13p7Ayu3tGMJqvLz70IT96j2xLJKPB4ikh0pddKTLydtW0w/AirtSjs/egof7s7EsVcXJDMnkdBRrkJonfTaj9HaemNYBj250hS0j3o1+81Uka2DyIBdx9zdX8JHj+PXSWh3ODC9T80w+Ik5QLPxbf+NsnfDjap9DxIJGNYbRrNO372Do0qoxPHvFaXvLSbATcAzMtmp5WQVScJovfSaN5DRcVtANhXslJTn0Ra2jOkQlgfRQLuPujB4TL8PV/CatuvcWDpz1rQDAm6/WEYBgbDblYbyd8ODe+FcLTa/8Llag3b43uvLjk2SQC1qPsjUnOyxPD8ij3c7EC5gaSVEERvwjAM6utfQnX1gwA8v0sp9Ov3H6SkPECC7T6MBNx9EEVRWD1RgYvS2PljWyusWHlA7+dehNV6Cg5HXfs2hyOBVDo2gj3qvRSKueDx3GWyaNqE5uaPwvb4wUonOStZwsUEr7QSstQ7QfQeDMOgtvYJ1NU963ULD9nZ70KtXhSRfhHRgwTcfRSfQ2HDVCUGK9iLeLx2zIj1J00R6lV0804nkckuIJNeQoTDESAxkf0FpdGsA8OEfq6B0UHj526uLtkZklZCEL0TwzhRWXkPGhvfYLVTlAi5uf9FQsKVEeoZEU1IwN2HxQs4+GS6Csli9stg+R4dtleRWsHeyHLu4aVS3QKKco8K2+3l0Ot3hPxxd9baYPco/Z0l42KQoueL8s71Crj/bHKg0kjSSggiltG0DWVlC6HV/h+rncOJQ17eJsTHXxqhnhHRhgTcfVymjIdPLlFBwnPnldEMsGiXFkea7RHsWXRhGAeMxl9ZbSTgDi0+PwkJCVew2sJRItA7neTyzMBWl/QnVcLF+CRSrYQgeguXy4jS0mvR2voVq53HUyM//yvIZBMj1DMiGpGAm8BItQDvTUlg1Qo2Ohlc+0MzakykXCAAmEz7QdPuVBseLxkiUUEEe9Q3+JYI3AmL5WTIHo9mGJ+rO4GuLtkZ71FuksdNELGJYVpRUjLf58onn5+B/PzvIJGMiEi/iOhFAm4CAHB5phjPj41ntdWZaVyzowl6e2SW1o4mvuUAp5DZ5mEgkYyEVDqO1dbUFLoSgQc1Dmis7td7HJ/ChOTg5enPzWIH7/s1DlSTtBKCiCkORz0slqUwmw+w2oXCARgw4DuIRHkR6hkRzUjATbRbWiDDHQXsZWaPtzixcJcWDrpvlwv0LQd4UWQ60gf5lgj8GE6nLiSP9V0Ve8T54nQRBN1YXdKfDBkPYxL5rLatFWS+BEHECqezGUVFM0DTp1ntYvFI5Od/A4EgI0I9I6IdCbgJlmfHxGNmJnsU7scaG1b8oQPTR2t0u1ytMJkOstpIwB0+CsUc8Pmp7ds0bfaZoBQs3su5z8gMXjrJWd7VSkhaCUHEjtraVbDby1ltMtkFyM/fCj5fHZlOETGBBNwEC5dD4Z3JCThPzR6F+6DIjNeOGSPUq8gyGH4B4M5lF4kGQSBIi1yH+hiK4kOtvpXVptG8E/QSgZVGJwpb3OkdHAqYnh78so/eedx7Gu2oJXMlCCLqWa3FaG7+kNUWFzcD/ft/Di43zs+9CKINCbgJH1I+B/+7RIV+MvbKek8d0OPLMnOEehU5pBxg5LWVCHQHv3Z7BfT674P6GN9Vske3xyUJoOzB6pL+ZMp4Pj9ov6ogo9wEEe3q6lbBc/BFKMxFTs5GcDhi/3ciiDNIwE10KEnMxWfTVYgTsPNXb/+lBXsbbH7u1TuRgDvy+Hy1z+IRjY3BLRHoUw4wiNVJvM33GuUm5QEJIrqZTAeg021ltaWmPgkOR+DnHgTBRgJuwq9BCj4+nKqCR4lu2FzA9T9qUarvG5UV7PYq2GwlHi08yGQXRKw/fVli4hLWttG4GxbLiaAcW2+n8Ut98FeX9Mc7reSPBjvqzSSthCCiUduy7StZbRzOYCgU8yLTISIsGhvX+L3N6WxGaenfAzoeCbiJTk1JE+K1CxSsNq2NxtU7mqC19v4AwbscoFQ6BlyuPEK96dvaSgROYLVpNOuCcuydtTY4PKpf5sq5yI/v+eqS/mTLeRihcqeVMAC2kbQSgohKBsOPPgufCQR3k9KwvVxNzSM4ffpqOBxNrHad7iucODHOJz44FxJwE+d0Q74U/xjJDjJP61248SctrM7eXblEr9/F2o6LmxqZjhAAOioR+L+glAj8tpId7M4I0uqSnSFpJQQR/RiG9hndlsungccbG5kOEWGTk/MhzOZDOHlyAlpbv4fLpUd5+RKUlS2ASFSAQYN+C+h4JOAmuuSRkXJc29/3Mvhdv7aA7qXlAhmGhtFI6m9HE4ViFvj89PZthrH4VA0IlItmsKPaO50k9JOgvMsD/tZgh8bS+68aEUQsaWn5HBbLMVZbWtpTEeoNEU4KxWwMGvQ7pNJxKC29HsePj4Re/wMyM19Dfv5WCIXZAR2PBNxEl1AUhdcuSMAFKewJIl+UWfDcn/oI9Sq0LJajcDqb27e53DhIJOdFsEdERyUCm5rW9ahE4H6NHc02j9UlBRQmJId+IlRuHA/DlO60EpoBtpFFcAgiatC0DXV1z7LaEhKuIsu29yFcrhwi0QAAFFwuHbhcGQSCzG4diwTcRJcJuRQ+mqbCAK/c1pePGLGxyBShXoWOd3USmWwSKCp0eb1E16jVN3uVCKxCa+u33T6ed3WS6eki8Dnhyc30HuXeQvK4CSJqNDW9D7u90qOFh9TUxyLWHyK8DIbdOHFiAhob30BKygoUFPwJoTAXJSV/Q0XF3QGnM5KAmwiIQsjBp9NVUIvYL51lv+uws6Z3jc55T4iQy0n+djTg8VRISLia1abRdL9EoHfAHcrqJN7mZbMf65c6G5r7wGRkgoh2LpceDQ3/ZrWp1QshFOZEqEdEuJWUzAeHI8SAAduRmvowhMJs5OVtRkbGC9DpvsTJkxPOfRAPJOAmApYt5+F/l6jguSaIiwFu3qnFca0jch0LIpq2wGj8g9VG8rejh2+JwF9gsRwP+DjlBidO6twlLrkUMD0jfAF3fjwfBQnuqyYuBvi6snf9cCWIWNTY+AYrpZDDkSIlZUUEe0SEW1LSXRg4cDckkpGs9sTEJRg06BcIBFkBHY8E3ES3nJ8owLrJSnheeNc7GFz7QzM0ttgvlWQ07gXDuCfS8fkZEAr7R7BHhCeJZDhksomstu6UCPzWK7gdnyyAQhjej0XvtJLNZSSthCAiyeFoRGPjm6y2pKS7wecnRahHRCSkpz8LDkfY4W1CYS7y8wNLZSQBN9Ftc7PFWDUmjtVWbXLhgUIhzE7az71ig3c6SVzcVFJzNcr4lgj8FE6nNqBjRDKd5CzvgHt3na1P1LgniGhVX/9v0LR7XhKPp0ZS0t0R7BERKXZ7LaqqHsDx4yNx6FAKzOZDqKl5HFrt5wHHBCTgJnrkriEyLB4kZbWdNHHw7onYnkRJ8rejX3z8LPD5Ge3bgZYIbLXT+M1rdclQLufuzyAFH4MU7LSSb6pIWglBRILNVoqmpvdZbSkpK8iCZ32Q1VqCU6cmQafbCqn0fDCMHQDgcGhQUbEEOt3WgI5HAm6iRyiKwgvj4nFZBvuyy6elsXtZ3OlshsVyhNUmk02OUG8IfyiKh8TExaw2jeYdMIzTzz3YfqqxwnPdprw4HvLi+f7vEELeS71vIWklBBERtbXPAXB/hggEWVCpFkauQ0TE1NQ8Bj4/HQUFfyEraw3a1gQGsrPXQqGYg4aG1wI6Hgm4iR7jcSi8cWECPCupHdM6cLq1a4FPtDEY2IvdiMXDweerI9QbojMq1QJQlHtU2uGoRmvrN12677dRkE5ylveqk7vqbNDZYjstiyBijdl8CDrdF6y21NTHweGEvi4/EX2Mxt+QnLzszNUNdvqISnUTrNZTAR2PBNxEUCSKubjAa7GQrTFaU5ikk8QOHk8JpfIaVltXSgQ6aQY7qr0C7szIBdyDFTzke9S3d9C+PwgIggit2tqnWdti8TAkJFwZod4QkceBd6B9Fk2bSA43ETnzc7yqLZTHXsDNMAz0eu+A+6LIdIboEt8Sgb/BbD7a6X32NdrRYnPnkygEFMYnRW4Ui6IozMuK/fcPQcQqvX6Xz2BLWtpKUBQJk/oqmWwCGhpehsvV6tFKgWFc0GjehVQ60e99O0JeSUTQzM4Us34LHm52oNwQW2klNlspHI7q9m2KEkImGx/BHhHnIhYPhUx2IautqanzEoHe1UkuzRCBF6bVJf2Z5/WDdWeNFa12klZCEKHGMDRqa1ey2mSySZDLp0WmQ0RUSE9/BnZ7JQoLR6O8/FYAFBoaXsXJk5NgNh9CWtrjAR0vYgG33W7Hddddh3379vndp6ioCIsWLcKkSZOwYMECFBYWtt9G0zQmTZqEsWPHsv4ZDIZwdJ/oQLKEiwleaSVbYmyUznuEQyabAA5H7GdvIlr4lgj8jLVohbdoKAfobWgCD7ly92pSdtq3nwRBBJ9OtxkWyyFWW1ra06QUbB8nEg3EwIG7IJdPg9G4BxTFhdH4M0SiARgwYDvE4qEBHS8iAbfNZsPjjz+O0tJSv/tYLBbcf//9GDp0KDZu3IiRI0di2bJlMJnays3V1NTAbrdjy5Yt+Oabb9r/yWSycJ0G0QHvyV+xHnCT/O3YEB9/OQSCfu3bDGNFU9PGDvct1TtR5DGhl0cBF4dxdUl/KIryqckda+8fgog1DONAXd2zrDaFYh6k0vMi1CMimgiFOcjOXodhw05i5EgNhg0rQU7OBxCLBwd8rLAH3KWlpVi0aBGqq6s73W/Hjh3g8Xi4//77kZOTg2XLlkEmk2HHjh0AgLKyMqSkpCA1NRVqtbr9H/lFGllzssWg4M6N/bPJgUpjbKSVMIwTBsMvrDa5fEqEekMEgqJ4UKtvY7U1Nb3bYYlA78mIE1OEiBdER3add8D9Y40VBgdJKyGIUGlq2gibzXPwj4vU1Cci1h8ismy28oD+BYJ37l2C69ChQxg3bhyWLFmCyZP91zY+duwYhg8fDg6n7YuQoigMHz4cR48exfz581FWVobMzMxwdZvoolQJFyPiaBzSuy+Nbym34J6h0b9ogNn8F2ha377N46kgFg+PYI+IQKhUN6Gu7nkwTNuosMNRA53uayQkzGPt910le9Q4GtJJzhqh4iNLxkWFsW2lSZsL+L7KiqtyJRHuGUH0Pi6XEfX1/2K1qVQLIBLlRahHRKQVFo6Cv8okHRk1quurG4c94L7iiiu6tF9TUxOysrJYbUqlEkVFRQDaRsrNZjOWLFmCqqoqDBw4EMuWLfO5j6fi4uLudzxA4XysaDNNxWMF3J+ebMEMYX0Ee9Q1dvvnXi3noaTkdMDH6cvPfaTPncudAafzy/btyspX0NRU0L5tcAK/N4jh+YE62FWP4mIGPRWsc58Sz8dGo3sBno+OaTDCZQ/KsUMp0s99JJFzj012+3twOhs9WkSwWK7p8jnF8rkHQ7jOPz8/PyyPAwCZmW+2/9/l0qO29inIZBOQkHAV+PxUOJ3NaG3dBr3+R6SnPx/QscMecHeV1WoFn89e9U0gEMDhcAAAysvLYbFYsGLFCkgkEmzYsAF33HEHPv30U7953OF60oqLi8P6Aok202wl+E+Ze/uogQtxag4yZFH7cgMAFBUdgd0jrklLmwOVKrDnsS8/99Fw7hbLCpw86Q64afovpKdbIJG0Xan4otQMF9PSfvvAeB6mDu/5aFYwz/0WhR0bazTt23/oeEjN7gcZPzrSXjoSDc99pJBzj81zdziaUFj4EastOfkupKVN6NL9Y/ncg6G3nr9KdUP7/8vKFkGhmI/sbPbaDkrlNaiqegA63Vao1Qu6fOyo/QQXCoXtwfVZdrsdIlHb5d9169Zhw4YNGDNmDIYMGYJVq1bB6XRi9+7dHR2OCKNkIYOxid6L4ER3tQWXywiTaT+rjdTfjj1icQFkMnaqmkbjLhEYjdVJvI1S89FP5r5CZHXBZ5EegiB6pqHhZdC0u6oZl5uA5OR7I9gjIlA0bUNl5X04ciQLR48OQEPDq373tVqLUFw8B4cOpaKwcDR0ui3nPL5e/z0SEq7q8La4uMthMv0eUH+jNuBOTExEczO7rFdzczNUKhWAtoBcLHZPMBIKhUhLS4NGowEReXOz2YHM1iivtmA0/gbAPcFOKOwPgYDMEYhF3gvhtLS0lQh00Ay2R9Hqkv50tAjOlnIScBNEsNhsFWhqeo/VlpLyILjc+Aj1iOiO2tonYDLtQ17eFvTrtxr19S+hpeULn/1cLiNKSuaDz0/DoEG/Qq2+DeXli2GxnOz0+FxuPKzWEx3eZjYfAI+nCqi/URtwDx06FEeOHAHDtOVWMgyDo0ePYtiwYXA6nZg1axa2b9/evr/ZbEZVVVWnOdxE+Mz1qrawp9GOWpMrQr05N1IOsPfwLRFoQ1PTBuxpsKPV7s7VVgo5PldiooV3tZLt1VaYnaRaCUEEQ13dP8Ew7vxBPj8DavXiCPaICJTLZUJT00akpz8PiWQkFIpZSE6+FxrNOz77arX/A0XxkJX1BkSi/khKuh1y+TSYzf7XgQGAhISrUV//Ahob18BurwJNW2CzlaO+/j9oaHgFKtUtAfU5qgLupqYmWK1tIznTpk2DxWLBSy+9hNLSUqxevRomkwnTp08Hj8fD+PHj8fbbb+PPP//E6dOn8eSTT0KtVmPSpEkRPgsCADJlPIxWs3Pwv6qI3lFug2EXa5ukk8QuiuJCrWaPcjc1vYfvq9iLYk3PEIIb4dUl/RmdyEe6xJ1WYnYy2FFti2CPCKJ3sFiOoaXlU1Zbauqj4HCi72oX4Z/FcgwMY2OtBC2VjofZ/KdPOVij8WfEx18OinLHJP37fwKVqvP867S0xxEXdzlqah7B8eMjcPhwOgoLz0Nd3bNQqRYgJeXBgPpM6XS6nk/P76axY8fijTfewNixY9u3n3zyScyePRsAUFhYiOeffx5lZWXIy8vDQw89hMGD24qNWywWvPHGG/jpp59gMpkwduxYLF++HCkpKX4fr6/PKCY6RtMamM0zPVo4kEp/AEVFfylDomMMo4fJNAuAOxVDJHoePN4lkesUQRARZ7HcD5frt/ZtDqc/xOKPQFHcTu5FRFJHkzN1ui2orFyG4cPdNdSt1lM4cWIchg49CT7fHQuePDkJCsU8OBx10Om2gc9PRmrqo4iPn9Glx7dai2A0/ganswU8nhpy+RQIhYFnU0Q04O6teuvs3a46e/7lBidGft7Q3k4BOHFtClIk0fXB1tz8MSor72jflkjGYODAHd06Vl9+7qPt3Csrl6G5+f327SPG83BfyYcAAD4HOH19KuKCtOBNKM59T4MNM75pat+W8iiUXJ8KMS/6RuWj7bkPJ3LusXPuBsOvKCmZzWrLzf1flwMvT7F27sEW6fPXav+H2tqnMXSoO8faZitHYeFIFBQcZgXEx4+PgsvVDLV6MRSKeTAYdqK2dhUGDvwREsnIsPU5uuu0ETEtW87DSBUfh5rbqs0wALZVWLB4cMdlGyPFO387Lu6iyHSECKrExCWsgHu47E/kiwtRbCnABSnCoAXboTI2SYBUCQd15rbcbZOTwY81Vsz2mlBJEMS5MQyD2tqVrDapdALi4i6LTIeIHqEoEWianWbHMG3bHI7Ea18eRKIhSEt7EgAgkYyA0fgHmpo+QGbmK34fg2EYaLUforX1W7hcZgDe82go5Odv7XKfo/sbh4h53pO/NkdZtRKGYWAwsEtJkgmTvYNYPBgy2RRW29/UbXV3o7EcoDcORWGOT7WS6Hr/EESsaG39CmbzAVZbevrToKjou2JEnBufnwqXSweadk9+dTgaQFFC8HgJXvumQCRij8YLhXmw26s7fYy6umdRWXkfzOajYBgrGMbp9c/R6f29kRFuIqTmZYvx9EH3cum/N9jRaHEhSRwdaSVW6wk4ne60Fw5HConk/Aj2iAimpKSlMBrdP6guTvga6+oewIx+yRHsVdfNyxZj3QlT+/Z3VVZYnQxEUZhWQhDRimGcqK1dxWqLj58JqXRshHpE9JREMgwUJYDJtBdyeVuxDJNpDySSkaAodmgrlY6FXv8Dq81qPQWhsPPSv83NH0GtXoR+/V4OSp/JCDcRUrlxPAxTumcG0wzwdRQtguOdTiKTXQgOJzpLxRGBi4u7DA7K/aEq4DiwMH0TsuWxMdYwPkmAZLH7Y9rgYLCzNnrePwQRC5qbP4LN5lk0gYPU1Ccj1h+i5zgcCZTK61FdvRwm00G0tn6DhoY3kJi4FEDbaDdNt10RVKtvgc12GjU1T8FmK0Nj41swGHZBpbq508dwuVqhUMwNXp+DdiSC8GN+FKeVkHKAvRtFcbHH/HdW23TFxwFfCowULsc3rSSa3j8EEe1o2oz6+hdYbUrlDRCLB0WoR0SwZGQ8B4lkFEpK5qKy8gGkpKxAQsIVAIBjxwaipWUTAEAg6Ie8vC9hNP6CEyfGo7l5A3JzN0IiGdHp8SWSkTCbDwetv7ExzEPEtHnZIqz6051W8mu9DU1WF9SiyKaV0LTtzAqTbiTg7l0cNIO3K+bi/PzVEHPbAlUx1QCd7qv2D+ZoNy9bjHdPutNKvq2ywuZiIOSStBKCOJfGxrVwOOratylKhNTUhyPYIyJYOBwJsrLWICtrjc9to0bpWNtS6RgMHPhTQMfPyHgepaV/B5crh1Q6zmcyJgAIhdld729Aj+5HUVFRMA5D9FJ58XwUJLh/27kY4JvKyF8WN5n2g6bN7dt8fipEIjLq0Zv8Xm9HnVWO7S3sy4IazdoI9ShwE5MFUIvcH9V6O4PdtWQRHII4F6ezBY2Nq1ltiYlLIBBkRKhHRCw5deoSOBy1qKp6ACdPXojCwvN8/gWi0xHulpYW/PRT2y+CKVOmQK1Ws27X6/V46623sGXLFvzxxx8BngrRl8zPFqOwxb3S3+YyCxYMkEawRx2lk0whM9Z7me+q2ka1v9TcgHnqT9rbTaa9MJv/gkQyKlJd67K2tBIR3j/l/nG4udyCS2Og0gpBRFJDw3/gcrmvrnK58UhOXhbBHhGxJDPzVbStIBIcfgPuoqIi3HnnnTAY2oKkt99+G2vWrEFeXh4AYPPmzXjrrbfQ2tqKgoKCoHWI6J3mZYvxz7/cAffuOhu0VheUEUwr8Z4wScoB9i4Mw+C7qrYrKRW2POzXT8SYuN/bb9do1nZ4KTIazc8WswLurystsLsUEJC0EiICbC4G31RacKSGh7kJdoxQ8cGJssEKu70aGs06Vlty8jKfknEE4Y9KdWNQj+c3pWTNmjUQCoV45ZVX8O677yItLQ1vvPEGrFYrli9fjhdeaJuE8Mgjj2D9+vVB7RTR+wxU8DFIwU4r+TqCaSVOpw5m81+sNrl8ip+9iVhU1OpEmcHVvv1VM/vDs6VlExyOxnB3q1suSBFCKXR/XLfaGfxcR9JKiPBqMLvwz7/0GPppPRbuasHqMgGmfqXBwP/V445fWvBlmRk6m/fiIJFRV/d8+0IoAMDnp7VXsCAIfxiGDuhfIPyOcBcWFuLWW2/FhAkTAAAPPPAA7rnnHqxcuRK//PIL5s6di3vuuQdxcXE9Ozuiz5iXLcbJQ+5R7q3lFtwUobQSo/FneK4aJRIVgM9PiUhfiNA4O7p9Fl86HQJBDuz2MgAAw9jR3PwBUlL+EYnuBYTHoTA7S4SNRe5R7i3lFlySQdJKiND7q8mOtwuN+LLMAkcHMYbGSuPjEjM+LjGDS7WtknpphgjTM0QYksALe6qexXICWu3HrLaUlIfB4ZBVWonOHTqkQtfTSCiMGtXc5WP7Dbj1ej1ycnLatwcMGAC73Y69e/di9erVmDhxYpcfhCCAtoD7Xx4B9646G3Q2Ggph+KtTknKAvZ93wH15pgSJqttQU/Noe5tGsx5JSffHRO31+dliVsC9rdKC/9AK8DnRdSmf6B0cNINtFRa8fdyEfRr7ue9whosB/miw448GO54+qEeahIPpZ4LvKWlCyPmh/7yvq3sGngMqQuEAqFQ3hPxxidjXNgATms9UvwG3y+WCQOD+EhIKhQCAu+66iwTbRLcMVvAwIJ6HolYnAMBBA99UWnBDfvhHufV6kr/dm2mtLuxtZAcJl/UTQSW+EXV1z4Gm28rsOZ310Om2Qqm8KhLdDMikVCEShBRabAwAoMXG4Nc6G6amk1FuIni0Vhc2FJnx7gkTaswuv/vJ+RSGSJ04buLB4GD87ldrprGhyIwNRWbwOcDEZCGmZwhxaYYI+fHBH/02GvegtfVbVlta2hM+qw8SREdSUx8J2bED/qk5ZMiQUPSD6AMoisJcr0VwtkRg1Umbrbw9rQAAKIoPmYz8iOxNtlfbQHvEAEMSeMiU8cDlxkOpZI90xUqJQD6HwqxMr/cPWQSHCJLCFgfu/a0FBZ/W4+mDer/Bdq6ci3+Ni0fhtSl4fagNp69PxVcz1Lh3qAyDFZ0HtQ66bcL84/v1GPtlI0Z+3oAVf+iwvcoKs7Pnud8Mw6C2diWrTSIZg/j42T0+NkH0VMA/+UjZNKIn5mWL8dJhd1rJzhorWu004gXhSysxGHaztqXSseByI1uikAgun3SSfu5ANTHxNjQ1vdO+bTbvh8l0EFLp6LD1r7vmZYvxf8WeaSVWvDSBAY+klRDd4KIZfF9txZpC0zkn4U5NE+L2AhmmZwjbK5LUAxBwKUxKFWJSqhDPjIlHpdGJH6pt2F5txc91Npid/ke/K4wuvHPShHdOmiDiAhemCDE9Q4RLM0TIiQt8RFqv/w4m0x5WW3r6ShK3EFGh01f0r7/+ivLycgAATdOgKAo///xzhwvdzJ0bvPXmid5raAIP/eO4OK1vGz2x023B0bX9fVdwChVSDrB3s7sY/FjDDrhnZLrTLkSiAZDLL4bB8GN7m0azFlIpu4RYNJqSKkS8gEKrvS2IabLS+K3ejilpwgj3jIglejuN/ys2Y90JI8oN/tNGxFwK1+WJsbRAhkEKfpeOnSnjYdEgHhYNksLqZPB7Q1vwvaPa2v653xGrC/ihxoYfamx4aG8r8uJ47aknE1OE51xZlWFcqK19htUWF3cZZLILutRvggi1TgPuDRs2+LS99957Pm0URZGAm+gSiqIwL1uM/xwxtrdtKbeELeBmGJfPCDcJuHuX3xtsrJzSJDEH56nZwUJi4lJWwK3TfQmHYxX4/OSw9bM7BFwKMzPF+LjEPcq9tcJCAm6iS063OrH2hBH/LTbD2MnIc4aUi9sGS7FggBQJPZjULuJRmJYuwrR0EV4Y1/b4O2ragu9f622w+Y+/UaJ3oqTQibcLTZDyKExObQu+L8kQop/MN3TRav8Hq/WERwuFtLQnu913ggg2vwH35s2bw9gNoi/xDrh/rLFCb6cRF4a0EovlKFyulvZtLjceEsnIkD8uET7fetV3vzRD5LMoR1zcJRAKc2GzlQIAGMaBpqb3kZr6cNj62V3zskWsgPurCgteHBcPLkkrITrAMAx21dqwptCI7dU2+A+zgQnJAtxeIMOsTFFI0pT6x/PQP16G2wtkMDlo/FJvww/VNnxfbUWV0X/0bXIy+LbKim/PpIoVKHhtlU/6iTAuSQAubKire551H6XyWojFZM4ZET38Btypqanh7AfRhwxX8pEt57ZfyrS5gO3VVlyVG/pRbu/qJDLZZFBU5Fa7JILLc3XJs2Z0sAQ6RXGgVi9BTY07wG5qWo/k5AeivkTg1DQR4vgU9GdG8RstNP5otOPCFDLKTbiZnTQ+KbFg7QkjTuqcfvcTcIArcsS4vUCGkerwvfalfA5m9BNjRj8x/s0wKGp1nkk9seH3ehs6GYBHoc6JQp0Rrx4zIo5P4cHcDzFZXN1+O0UJkJr6qP8DEEQE+A24a2pqAjpQenp6jztD9A0URWFelhivHmOnlYQj4PbO346LI+kkvclJnRMVHiNlQm7bZK+OqFQ3oK7uWdB02+vQ6WyETrcZSuU1Yelrdwm5FGZkivDpaXeFki3lFhJwEwCAKqMT754wYUORCTq7/6g1WczBokFSLBwoRZI4soMOFEVhoIKPgQo+7hkqh95OY3edDTvO5H7Xmf1XMHHRrRjJf5PVdppeALsuGaPVDLnyQwSkqOjyLu9LURTy87/p8v5+A+4rrrgioJm9e/bsOfdOBHHG/Bx2wL2j2gqjg4YshIsi0LTZZwY7yd/uXb71Gt2enCKE1M9risuNg0p1AzQa92RJjWZt1AfcADAvS8wKuL8qt+Bf4+J9UmeIvoFhGOxptGNNoRFfVVhZJTG9jVLzcXuBDH/LFkNwjomIkRIn4GBOlhhzssRgGAbHWpztwffeRjvr/K5PWo84nr592+iSYVnhLdAfbkKCkMIl6W2L7lycLoRKRK5mEp2jKA7CvvDNE088wdqmaRrPPfccFi9eTNJNiB4bqeKjn4zbnrdndbUF3X/LCd0ot9G4BwzjXgxFIMiEQJAdsscjwu+7Sv/VSTqiVi9hBdxm80GYTAcglZ4fkv4Fy8XpIsh4VPvEt3oLjb2NdkxIJqPcfYnNxeCLUjPWnjDhcLPD735cCpibJcbtBVKMTRLEVJk8iqIwTMnHMCUfDwyXo8VGY2eNFdurrTjYUIUrEz9k7f+/xkXQuxIAtC0O9VmpBZ+VWkABOD+R3152cLiKT36gEj7y878O2bH9BtyzZ7MLxbtcLjz33HOYNGkSBg0aFLIOEX3D2bSSN467R7k3l1tCGnB3VA4wlr54iM5pLC7s91qC+rKMzgNukSgPcXHTodfvcB9HszbqA24Rry2t5PNS9yj35jILCbj7iAazC++dMuH9kyZorP7TLRKEFG4ZIMWtg6TI6KCyRyxKEHJwRa4EV+RKUFH5NLTN7h/ZzQ41vtDc1OH9GAD7NQ7s1zjwz78MSBJzcEl6W/B9UZoQih5UYyF6D4PhV8jlF4bk2OQVRkTM/Bz2qnk7qm0wOXq+2pg/pP5277a92sqqwDBMye9SkJGYuJS13dLyJRyOuiD3LvjmZrHfP19VWEAzndWgIGLdX012LPlZi6Gf1ePFQwa/wfZgBQ+vTlTg+DUpeOr8+F4TbHuyWouhbf4/Vlv/jIfxygXpuDJHDIWg88GURguN/5aYccsuLfp/XIfLv9Fg9REDjmkdYMj7qM8qKZmDwsLz0dDwOhwOTVCP3fvehUTMGK3mI0PKRbWpLa3E7GTwQ40N87yWfw8Gh6MRFssxjxYKcvnkoD8OETldqU7SEbl8GoTCPNhsJWdanGdKBEZ3lYPpGSJIeRRMZ9JKas00DmjsGJtERrl7EyfN4KsKC9YUmrC30e53PwrAZf1EuKNAismpwl5/9a6ubhUAjwnSwv7ITr0ZORQf1+VJ4KQZHNDYsaPaiu3VNhzV+k+5cTHAHw12/NFgx9MH9UiTcNrKDmaIMCVNCHkI5xYR0SUraw202o9RW7sSdXWrEB9/OVSqmxEXN63HxyYBNxExFEVhbrYIbx03tbdtKbeEJOA2GH5mbYvFI8DjKYP+OERk2FwMdtawl6a+vIsBN0VxkJi4BNXV/2hva2p6H8nJD4LDid7gVcyjcGmGCF+We6SVlFvCGnAzjBNW60m4XCdhNGrD9rjRhKYdAPKDflyt1YUNRWa8e8KEGrP/GtVyPoUb8yVYMliG3G4shx6LTKYD0Om2stpSU58ARbkXuOJxKIxPFmJ8shBPjAZqTS78cGbRnV217MWxvNWaaWwoMmNDkRl8DjAxWdi+6mV+PK/X/5jpy5TKa6FUXgu7vQZa7f+g1f4Pp09fCYEgAyrVTVAqb4RA0L2qfH3j3UlErXlZYlbA/X2VFRYnAzEvuB9opBxg7/ZrvY21cl6ymIOR6q4tRQ0ASuX1qK1dBZo2AACcTg10ui+hVF4X9L4G07xsMSvg3lpuxXNjmJAHBC6XCc3NH6Kx8Q04HG31j4uLQ/qQUYxCXd3DSEn5R1D+7oUtDqwtNOLT0xZYXP6Dwlw5F0sKZLghTxKWRcOiBcMwqK1dyWqTSEZBoZjX6f3SpFwsGNC2eqbd1VbV5YczlU9OdFKn3EEDu+ts2F1nw+P79ciScXFphghDOBxk0wz4pOxgryQQpCMl5UGkpDwIk2kfmps/RmPjW6irexFxcdOgUt2M+PgZAa3j4Tfg3r9/P2ubYdo+xAsLC2EwGHz2HzNmTACnQhBtxiQJkCbhoPZMnVWTk8EPNVbMyQreKDfDMDAYdrHa5PKLgnZ8IvK8q5Nc1s93dcnOcLlyqFQ3QqNZ097W2LgGCQnXRvVo1vQMIcRcqj0wqza58GeTA6MTQ7OAidPZDI1mHTSad+By9c0RbV8M6uufh8vVjPT0F86UFQsMzTD4vsqKNYUm7K6zdbrv1DQhbi+QYXqGsE9W2TAYfoTR+CurLS1tZUDvUwG3ban4yalCPDMmHpVGJ36otmF7tRU/19lg7mTVnQqjC++cNAEQ4f0GDf53iQqpElJusDeTSsdCKh2LjIwX0Nr6NVpaNqGi4jZwOHEYNuxkl4/jN+C+++67QVGUz+SBf/3rX+3/P3s7RVGkDjfRLRyKwpwsMdaecI9yby23BDXgttmK4XC4F3KiKBGk0nFBOz4RWQzD+NTf7mr+tqfExCXQaNYCZ6ZeWiyHYDbvh1Q6NhjdDAkpn4PpGUJsrXCf/+ZyS9ADbru9Eo2Nb6C5+f9A0+Zz36EP0mjWwenUISvrTVZqQ2f0dhofFZux7oQRZQb/aSNiLoXr8sRYWiDDIEXXr9z0NgxD+4xuy+XTIJdP6dFxM2U8LBrEw6JBUlidDH5vsJ1Z9dKK03r/z8vhZgcW7tTiq8vVZKS7D+BwhBAIsiEU5sJiOQy7PbDJ9X4D7rfffrvHnSOIrpiXzQ64v6uywupkIApSWon36LZMNhEcTuABGRGdjrc42yfeAoCIC1zkZ3XJzgiFuYiLuxR6/fftbY2Na5GTE70BNwDMzxazAu4t5RY8c35cUEbmLZbjaGh4FS0tX8BzgponihKCogZALA7+3ItoZ7GcBE27F11pafkULpceOTnvg8Px//co1TuxttCIj4rNrFQobxlSLm4b3JYGkUDK1qGl5XOvye9AWtpTQX0MEY/CtHQRpqWL8MI44HSrEzvO5H7/Wm+DzettsKfRjpUH9HhubHxQ+0FED5utHFrtJ2hp+Qw2WymEwhyoVIugUt0Q0HH8BtznnXdejztJEF0xLkmAZDEHDZa2tBKDg8FPtVbMzAzOFzgpB9i7eVcnmZIqhITXveAkMXEpK+DW6bbAbl8FgSCtR30Mpen9RBBx2xaPAoBKowuHmh0Ype7eKDfDMDCZfkdDw6vQ67f73Y/LjYdavRiJiUtRXt6K/PzgTxyMdhbLcZw6NRcM09zeptd/h9Onr0Ju7sfgcuPa2xmGwa5aG9acMGF7FbuEpbcJyQLcXiDDrEwReGTkFABA0zbU1T3LaktIuAoSyYiQPm7/eB76x8twe4EMJgeNX+pteOWIEXs8Ksa8edyIsUmCkEz4JyLD6dSipeULtLR8BpPpADgcEeLj56Bfv1e6XaebTJokIo7LoTA3S3wmL67NlnJLUAJuhnHAYGDn+5H87d7luyoLa3tGv+6/buTyqRAKB8BmKzrT4kRT03qkpT3egx6GlpzPwcXpInxdyR7lDjTgZhgara3foKHhVZjN+/3ux+enIjHxTqjVt4DLlZ9pbe1O12OeWDwEYvG7cDrvh91e0d5uNP6GkpJ56N//c9iRgE9PW7Cm0IiTnUzOE3CAK3LEuL1AhpHd/LHUmzU1vQ+7vdKjhYfU1MfC2gcpn4MZ/cQYkyjAhC9q0Wh3/7C/+9cWDEngIS++76b89AYtLZug1X4Cg2EnGMYBsXgEMjL+DaXyKnC5PbuK0elKk129JElRFLZu3XruHQnCj7nZ7ID72yorbC4GQm7PRndMpoPtlScAgMdTQywe0qNjEtGj0eLCQQ27vu5l3cjfPouiqDMlApe3tzU3f4CUlOVRnYY0P1vsE3A/NbpraSU0bUdLy6doaHjN44eGL6EwH8nJ9yIh4ZqoLpcYbhxOBgYM+A4lJVfCai1sbzeb/8LvRy7FsuJ3cNqc7Pf+SWIOFg2UYtEgKZLEZPJdR1wuPRoa/s1qU6sXQijMiUh/VCIuXhhkx9JjIpxdq83gYLBgpxY/zE7s9hU2IvLKy28Fl6uASnUzVKoFkEiGBe3YfgPuMWPGhHR2vt1ux4IFC/DAAw9g7NiOcySLiorwwgsvoLi4GDk5OXj44YdRUFDQfvuOHTvw9ttvQ6PRYNy4cXj00UehVJLayrFoYrIAiSJO+8ppenvb5deeBE+Ab/62XH5Rt6oIENHpe69L8yNUfKRJexa0KJXXobb2mfbcXKezCS0tmwLO1wuny/qJIOAA9jNf/mUGF45oHRih8j9S6nIZ0NT0ATSat+Fw1PrdTyIZg+Tk+xAfP5O8d/zg81ORn/81Tp++GmbzgfZ2OXUaz2bfiOUl76HGnsW6z0gVH7cXyPC3HHGPBxZ6u8bGN+B0utN2OBwpUlJWRLBHwLA4Gs+OicdDe91XdwpbnHjwj1a8daEiqqsbEf5lZa2DQjE3JIMKfgPup54K7kQETzabDU888QRKS0v97mOxWHD//ffjkksuwRNPPIEvv/wSy5Ytw6ZNmyCVSlFYWIhnnnkGDz30EAYOHIj//Oc/WLlyJV577bWQ9ZsIHS6nrVrJ+lPstJJQBNxE7+Gdv93VxW46w+XKoFL9HRrNW+1tGs0aKJXXR+2XaJyAg2npItbfY2u5pcOA2+FohEazFk1N78Ll8p8KEhd3KZKT74NUOjFqzzta2FwMNpULsb7oHVwTfyfOl//RfluKoA6v5d+Ef5SuRbl1MOZmiXF7gRRjkwTk79oFDkcjGhvfZLUlJd0NPj8pQj1yWzJYin2NdnxR5k5r+7jEjPFJAtw8UBrBnhHdpVReDaBtoiRNmyEWF7Bur619GkrlDRCJAp+zEvbhitLSUixatAjV1dWd7rdjxw7weDzcf//9yMnJwbJlyyCTybBjxw4AwCeffIKpU6di9uzZyM/Px8qVK7Fnzx5UVVWF4zSIEJiXzQ6Wvq60wN7Jwg/n4nLpYTKxc1FJwN17WJ0MdtayaxZ3pxxgRxITb0PbYtltLJYjMJn2BuXYoTLfa8LW5nILq6yrzVaOqqoHcfz4cDQ0vOwn2OYiIeEaDBr0K/r3/xQy2QUkKOxEg9mFdRV8DPusHnf80oL9TQI8WvoWftZdwtpPyW/G2wMW4cCsMrw/VYlxyb1/6fVgqa//N2jaPRDD46mRlHR3BHvkRlEUXr1AgQHx7LHLf+zV4VCT3c+9iGjX2LgGJ06MQXPzB6x2m60CDQ2v4sSJCWhq2hDwccMecB86dAjjxo3D+vXrO93v2LFjGD58ODicti5SFIXhw4fj6NGj7bePGjWqff/k5GSkpqa2307EngtShFB5lL5qtTP4+RyLQHSmbXEEdw0noTAfAkFGT7pIRJFf6tkLVKRJOBihCs6EJaEwB3Fxl7Ha2mp0R68Z/UTge3yin9a7cLzFCbP5MMrKFqGw8Dw0Nb0HhrH63JeixEhMXIKCgj+Rnb0OYvHQMPY8Nm0sMmHYZ/V4p4qPxjMVlgDAwQjwdPnL+Lb5b6z9+ZQerTVXo7V1R7i7GrNstlI0Nb3PaktJWeExWTfyZHwONk5TQupRxtbmAhbs1EJnozu5JxGNDIbdqKl5BPHxs5GYeCfrNqEwC0OGHEJ8/OWoqloGozGwQZiwB9xXXHEF7r33XohEnY9ENTU1ITExkdWmVCrR2NgIAGhuboZarfZ7OxF7eBwKs7PYr4st5RY/e58bSSfp3bzTSS7rJwrqqGFi4u2sbZ1uK+z2Gj97R55CyMG09vrjDM6T7UFt+RU4dWoKdLpNAHy//LncBKSkPIShQ48hI+NFCIVZPvsQvn6qseK+33TtOfOeKACX9pPhgsFvITHxLtZtDGNBaen1aGnZFJ6Oxrja2ucAuCu7CARZUKkWRq5DfgxS8PHqBQpWW6XRhaW/tIBmun+Vlgi/hobXERc3HTk570MozPa5XSDIRG7uh5BKx6Kh4T8BHTtqywJarVbw+ezRKoFAAIfD0X67QMDOT+Tz+bDb/V/GKS4uDn5Ho+CxolF3z38Mn4MNcAfdW8tMuDOxCd2Z9G0ysWsIG40Dw/K89OXnPlznzjDAtjIRPMcMhnO1KC5uCuJjpIGicsAwZWdaXCgqeglC4Z0d7h8Nz/s4MWCJ/wXXJ7+HQZLjfvejqGTw+TeCz58Po1EMo1ELoGdLtUfD+YdDvY3Cwr9EYMD+cSflMpiT7MQ1qU70E5sBsxZm5mYIBDTsds+F5JwoL78VdXXF4POvCG/nQyBUz7vLdQIWyxesNopajNOnK/zcI/w8z30EgKtT+fiszh23fF9lxeM7y7Gwn/9ykLEsXO/5cNb4t1iOIiPjX+fcT62+BbW1zwR07KgNuIVCYXtwfZbdbm8fGRcIBD7BtcPh6HTkPFxPWnFxcZ9cBOKsnpx/Ns3giZI6tNjaRgVanRTqZf0wNT2w3Fy7vQbHj5d7tHAxYMA1rIUoQqEvP/fhPPcjzXY02DTt22IuhetG50IcpNVJz2pqugdVVQ+0b9P0FvTv/0+fVQQj/bzTtBVa7SeYbn8NU6Wn/e4nEhWcKe13ZZeXH++KSJ9/uNhdDO74VoNWp/u7iQMGT4+Jx80DpIgTdDQy8Dw0mlxUV3tW1WBgsz0PpVKAlJRlIe93qITyeS8p+QdrWywehoED74qaSjkdnfsbuQxKv9HgYJP79bGmUoAZg9MwObV3ldLsre95mjaCy1Wccz8+PxUuly6gYwf0yrXb7fjrr7+wfft26PV6NDQ0BPRggUhMTERzczOrrbm5GSqVqtPbvdNMiNjC51CY5bXgTXfSSrxXl5RKzw95sE2Ej3c6yUVpwqAH2wCQkHAt63XjcmnPLHMeHVyuVjQ0vILjx0egquo+OO0dB9tS6QTk5n6CQYN+g1J5XVCD7b7k8f2tOOBV931plgP3DJX7CbbbJCbehqysdQDYJSvr6p5GTc1TrMmtBKDX7/L5DE9LWxk1wbY/Qi6FD6YqkSB0fxbRDHDrLi1qTa5O7klEC4EgAzbbqXPuZ7UWgc9PCejYXX71fvHFF5g5cyZuv/12PPnkk6itrcVzzz2He++9F1ar7yScnho6dCiOHDnS/kHEMAyOHj2KYcOGtd9++PDh9v0bGhpQX1+PoUPJZJ9Y511t4asKK5x0YF9IBsNu1jbJ3+5dfMoBZoZmURouVwqVagGrTaNZG/EAyeGoR03NUzh2bBhqa1fC6ex48OO31ql4qe5jDBjwLeLjLyOVMXrgi1Iz1p0wsdouyxDiloyupQsoldcgN/cjUBT7tdrY+Cqqqu4Dw5CADGhb8bS2diWrTSabBLl8WmQ6FKB+Mh7emaxkJRxprDRu3a2FI8DvMSL84uIuh0bzDmja/0AfTZvR1PQuZLJJAR27SwH3119/jRdffBEXX3wxVq9e3f5lM2vWLBw+fBjvvPNOQA/qT1NTU3vwPm3aNFgsFrz00ksoLS3F6tWrYTKZMH36dADAlVdeie+//x6bN29GSUkJVq5ciYkTJyIzMzMofSEiZ3KqEPEC98dVs43Gb/VdL7HEMHQHEyanBql3RKTVm134s4k9ynhpRuhWgVSrF4NdIvAoTKY//N8hhKzWElRW3ovjx4ejsfHV9sV52Hj4Tjsft5zYgsfL3sDXDcNxSufoYD+iq07pHLj3Nx2rLVPGxZrJSnAC+A0THz8D/ft/Dg6HXWWjuXkjystvBU13vypTb6HTbYbFcojVlpb2dEz9WLwkQ4QVI9nP8R8Ndjx9oKP3KxFNkpLugMvVipKS+TCbD/ncbjb/hZKSK2C31yIp6S7fA3SiSwH3hx9+iCuvvBKPPPIIxo0b195+2WWXYfHixfjxxx8DelB/Zs6ciR9++AEAIJPJsHr1ahw5cgQLFizAkSNHsHr1akilbcXkhw8fjkcffRTr16/HrbfeCplMFtLFeojwEXApzOxBWonFchxOpzu/l8ORQyodHbT+EZG1vZo9un2emo8USeiWxBYKsxEffzmrLdwlAk2mP1FWtuBMbdiNYBjfH6AcjhSJiXdhyJDD2Od8CRW2vPbbtvag2k9fZ3TQWPCTFiaPEpQCDrBhqhIJwsBTHOTyC5Gf/xV4PBWrXafbjNLS6+Fymfzcs/djGAdqa1ex2hSKeZBKz4tQj7rvoRFyj6pBbd44biTvxSjH5ycjN/e/sNurcerUNBw9OhBFRZfi1KmLcfToAJw6dTFstnLk5HwIkWhAQMfu0qTJ6upq3HfffR3eNnDgQJ9c6q7at29fp9sFBQX48MMP/d5/9uzZmD17drcem4hu87PF+LjE3L79VYUF/x4fD24XhpO8R7fbFu8gOau9xTeV7IA7WIvddCYxcSlaW79p39bptsFur4JA0C9kj8kwDAyGn9DQ8AqMxl/87sfjqZGYuBRq9WLweAkAgHnZJtaiQJvLLVgxksxhCBTDMLj/dx1OtbLTRv41ToFRat9VPLtKIhmJ/PxvUVJyBRwO9yJwBsNPOH36b8jN/RQ8nqLbx49VTU0bYLeXebRwkZr6RMT60xNcDoV3piRg8hYNaszudKG7f23BkAQ++sdHbc2KPk8qHYPBg39Hc/PH0Ot/gMNRA4riQiodDbn8YiiV3SvA0KWf50ql0m/5l7KyMiiVyoAfmCA6c1GaEHF8d3CtsdL4o7FraSXeAXdcHEkn6S0sTga7Q7S6ZGdksskQiQZ7tLjQ1NT54l3dxTBOtLR8gVOnJuP06Sv9BtsCQRYyMl7CkCFHkZKyoj3YBoDZWSJWqsPxFidKWklaSaDeO2nC56XsEclr+4txy0BJj48tEg3AgAHfQijMY7WbTPtQXDwTDkfoihJEI5fLiPr6F1ltKtUCiER5fu4R/VQiLj6YqmQtSKV3MLhpZzPMTrIoTjTjcuORlHQ78vI+x+DBf2DQoF+Rm/sxEhMXd7sAQ5cC7ksvvRTr16/Hd999B4ul7cOHoigcPXoU77//Pi655JJzHIEgAiPkUj4T4baUnftSHE1bYTT+zmoj+du9x+46Kywu96X9DCkXw5Shv3pBURQSE5ey2pqaPuh0Yk2gaNoCjeZdFBaORnn5rbBYOl41Vyweiuzs91BQcBCJiYt9ShQCgFrExYUp7MvZW8qDP7m9NzuoseORfa2stgIFD6snKoKWTywQ9EN+/rcQi4ez2q3WQhQVzYDNVh6Ux4kFGs1bcDrdC9dxOBKkpj4UwR4Fx5gkAZ4dE89qK2xx4sE/WiM++Zrwz+XSw26v8mlvanofTqeuW8fsUsC9dOlSjBo1Ck899VR7cL1kyRLcdtttyMnJwZIlS7r14ATRmXle1Uq2VljOuWqXybQXDOMOgvj8NAiFva9WaF/1XWVoV5fsTELC1az6rC5XC1paPuvxcZ1OHerr/43jx4ehuno57PaOF/aQySahf/8vMHDgL2fqaHd+SXpedvBWbe1rtFYXbt6phcNjEFLOp7BxmhKS7qzC1Qk+PxH5+V9BKp3Aarfby1BcfDkslhNBfbxo5HA0oaHhdVZbYuIdAZddi1ZLBktxZQ77++zjEjM2Fpn93IOIJJ1uK44fHwaNhl0QxG6vRFXVAzh+fDhaW3cEfNwuJRHx+XysXr0a+/btw4EDB6DT6SCTyTB69GhMnDgxpmYPE7FjWpoIcj4Fg6MtyG6w0NjTYMfEFP8LCHRUDpC8PnsHhmHwfXX487fPOlsisLHxtfa2xsa1UCpv6tbx7PYaNDa+hebmD0DT/ibKUYiPn43k5PsDnvg7J0uM5X+04uxP1CNaB8r0TuTEkdzRztAMgyU/t6Daq27yGxcmIC8+NFdTuNx45OV9gbKyW6DXu1fIdTjqUFw8E/37f96rJ343NLwEmja0b3O5CUhOvjeCPQouiqLw6gUKHNU6UOQxH+Afe3UYoeJjZA/mAxDBZTYfQnn5rZBIRkOhmMe6TSDIRH7+NtTUrERZ2Y0YOHA3xOLBfo7kq8tlAXU6HcaOHYs777wTjz76KO69915ccMEF0Gg02LhxY2BnRBBdIOJRPgHVuUbpvBdLIOkkvcfhZgfqzO4hRymPwqROfnyFglp9Kzw/Nq3W4zAafwvoGFbrKVRU3InCwpHQaN7sMNimKAFUqgUYPHgfcnM/7FawlSTmYmIK+4ucjHKf278PG/BDDXuewB0FUp8rbsHG4UiQm/sREhKuYrW7XC0oKZnnM5jQW9hs5Whqeo/VlpLyILjceD/3iE0yPgcbpykh9Vigy+YCbt6phc5G8rmjRUPDfyCRjEJ+/rYOP3dlsguQn/81hMI8NDS8HNCx/QbcNE2Dpmm4XC6sWrUK5eXl7W2e/w4ePBi0OtwE4W2uzyI4/tNKnE6tT91MuXxKqLpGhNm3HawuKQrB6pKdEQqzEB8/k9XW1RKBRuNelJZejxMnxkGr/S8YxncSI4cjR1LSfRgy5DAyM1+DSNSzdCjvRaS2VJCAuzM/1Vjxwl8GVtu4JAGeGROe4I+i+MjKWnfmh50bTRtx+vTV0Om2haUf4VRX90/We4HPzzhT+773GaTg45WJClZbhdGF239pOWe6JBEeJtOfUKsXd5qyx+EIkJi4BCbTPr/7dMTvEZcuXYqjR9sm7TAMg9tvv93vQQYP7vqQOkEE4pJ0EaQ8qr0Gbq2Zxv5GO8Yl+45sGgw/A3B/aIlEQ8DnJ4Wrq0SIea8uGc50Ek9tJQLdgU9r69eQSG4D4BscMwwDvX47Ghpe6XSxHB4vCYmJd0CtXhjUcnCzs8T4xx53WslfTQ6UG5zIlpO0Em/VRicW726BZ9ijFnHw/kVK8ANZ3aaHKIqDjIyXwOUmoKHhpfZ2hrGjrGwBMjPfgEp1Q9j6E0pm81GfeRCpqY+Cw4nMezscru4vwd5GO9496b6y9V2VFa8eNWLZcHkn9yTCwelsBp+ffM79hMIcOByac+7nye+n7qOPPooffvgBDMPgvffew6xZs5CSwp7AwOFwIJfLcemllwb0oATRVWIehcv6ibDJo0LJlgqLn4B7F2ublAPsPWpNLhxudo+CUWibMBkJMtmFEIkKYLUWnmmh4XB8DmBy+z4M40BLyxdoaHjNYz9fQmEukpLuhVJ5XUiCjFQJF+OTBfijwV1S86tyC+4ZRr7YPdldDG7ZpYXW49I+hwLem5KANGnoFlXyh6IopKU9Di43HrW1nnWoaVRW3gmXqxVJSXeEvV/BVlf3DNiDJAVQKq+NXIfC5Lmx8firyY6DHivmrvpTj9GJAkxODW+aHMEmEKTCZis/59Vxu70SfH5iQMf2G3Dn5OTgtttuAwDU19dj4cKFyMjICOjgBBEM87LFrIB7a7kVz41hfCZDkvzt3ut7r9Ht0Yl8JInDHwgBZ0sE3o6qKvekLodjM2j6BTAMg+bmjWhsfJO1oIk3iWQUkpLuh0IxGxQV2vOYly1mBdxbKkjA7e3x/a04oGGn+Dw6Kg5T0iI70pqcfA94PAUqK+8D4P4xUFPzCFyuFqSkPBKzk8INhl+g17MrPaSlPRny90M0EHIpvD9ViSlbG9Fia/vBQTPArbu0+HleElJDuHJub0LTNlRX/wM63WZQlBBJSXchObnjRRrPcjpbcOLEWKSlrYRKdaPP7XL5xWhqeh8q1U2gqI6zrhnGhaamDyCVjg2ov12aNPnkk0+SYJuImOkZQkg8cnWrTS7WyAAA2GxlrHJqFCWATMYus0XEru+q2LnHM/qFdgLbuSiVV4HLTfBo0aOsbCGOHx+KmppH/AbbcvlU5OVtwYABPyEhYV5Ygos5Wey/1QGNA1VGp5+9+55NpWasO8GeuHpZhhAPDJdFqEdsKtVNyMl5HxTFngBbX/8iamoeAsPE3oQ7hmFQW7uS1SaVTkBc3GWR6VAEZMp4eGeyEp4/lzRWGot2aeGgST53V9TWPgGTaR/y8ragX7/VqK9/CS0tX3R6n+rqh+F0+k8FSUq6AzZbCcrKbu5w8SmHoxHl5YtgsRxFYmJgV5m6lMg3f/78c+6zefPmgB6YILpKwuNgeoaQtXDHlnILzk90fwF5j25LpePA4fR8NTgi8sxOGrvrwr+6ZGc4HAlUqpvR2PhKe5te/72/vaFQzEdy8r2QSEaGo3ss6VIuxiYKsE/jHuXeWmHFXUOiI6CMpCKdA/f+pmO1Zcq4WDNZCU4UjRwrFPOQmxuHsrK/s6raaDTr4HTqkJX1Jigq9AtABUtr61cwmw+y2tLTn47Z0fruuiRDhBUj5XjxkHui7h8Ndjx9QI9nx/auKi3B5nKZ0NS0Ebm5/4NEMhISyUhYrfdCo3kHCQlXdnif1tYdMJv/BI+n9ntcoTAX2dnrUF5+O44fHwaxeASEwiwwjAt2eyUsliOgKD4yM18PuHpUl0a4hw8fjhEjRrD+5eXlwWq1wmq1Ys6cOQE9KEEEap7XKN3mcgtrlS7v/G2STtJ77Kq1wepREjlDysWQhMhP+ktMZJcI9EZRIqjVt6Kg4CByctZHJNg+a57XohtbSXlAGB00FuzUwuh0f44IOMCGqUokCIO7uE0wxMVNRV7eZtbiSwDQ0vIpSktvCuqqp6HEME7U1q5itcXHzwr48nxv8dAIOaalsfO23zhuJO/Rc7BYjoFhbJDJxre3SaXjYTb/CYbxvYLnchlQVbUMmZmv+Fwt8hYfPxODBv0CtXoxXK5WtLZ+C4PhR9C0FYmJd2Dw4D3dmmtA6XS6bl+7sFqtWLZsGc4//3zceuut575DhBUXF0e6C0QIMIwLJtOlAPTtbWLxBnC5BZHrFNEnWCwPweX6yatVDj7/KvD514LDUUWkX0Tv5XKVwGq9GwzTzGrncM6DWPwyKCq6r1w4HF/CZvunRwsHEsn/wOHkRKxPRHTLz/etAKXTbUFl5TIMH17a3ma1nsKJE+MwdOhJn1VKq6oeAMPQyMx8BceOFSA19bEOc7hDqUfDRCKRCNdffz1efPHFmAi4O3rSQqG4uDhsjxWNQnX+f/+xGds8lva+f5gMK8+Ph8l0EEVF7mCby03AwIGhn4zWkb783Ifi3GmGweBP6tFgceepbrpUhWnp0VE2zGZ7GUVFl8Lp1IDPTztT2u8WcLnRNynxkm2NrImBL4yLx+0FwQnOYu11/+4JI5bvaWW1XdNfjLWTEgJOawj/uefDZvsRJSXzWPNWaPpP0PQy9O//Ofh8/5fMgynQc6dpM44fX89qU6luRGZm7FU6C/bzvr/RjpnfauDwSMkfksDDjtmJkPCi74pLpN/zNG0Bh8O+MkBRwjO3sVMQDYZf0dr6HQYP9l+aNRx6/CzabDa0traee0eC6KH5OR2nlfhWJ5ncJ2a69wWHmhysYFvGo3BBmFeX7IxQmIMhQ45CIvkMQ4YcQXLyPVEZbAO+aVl9ddXJgxo7HtnH/s4arOBh9QRFzOQQC4XZGDDgO4hE7Kt4FsshFBfPhN3uv0JOJDU2roXTWd++TVEipKQ8HMEeRY8xSQI867XA0vEWJ5b/0cpKnyTaUJTIJ7BmmLZtz/lbNG1BVdW9yMj4V8RXL+3SCPf+/ft92miaRn19PdavX4+hQ4cGvWME4e3SDBGE3LblcAGg3ODCEa0DEsMu1n4kf7v38F5dclq6EEJudAVFHI4IHE52pyuTRYM52WI8ccB9JWhPgx11ZlefKkGmtbpw804taxRRzqfaltzmR98oYmf4/FTk53+N06evhtl8oL3dZitCUdEM5OVthkiUF8EesjmdLWhsXM1qS0xcAoEgPUI9ij5LBkuxp8GOLz1+DP+3xIzxyQIsGCCNYM+iD5+fCpdLB5q2g8Npy8l2OBpAUULweO4KUibTQdhspaiouB0VFW0LONK0GVVVD8BkOoDMzNUdHj8UuvQNcffdd4OiqPZfWZ7/T0lJwbJly0LXQ4I4I07AwbQ0ESsI21bejFncvaz95PKLwtwzIlSiZXXJ3iBbzsMoNR9/nSmpyQDYVmHBbYOjO+c3WGiGwZKfW1BtcrHa37gwAfnxsVPhwxOPl4C8vM0oK/s7a+K4w1GN4uLL0b//F5BIhkesf54aGv4Dl8sz9S8eyckkdvBEURReu1CB4y0OFLW6J/6t2KPDcCUfI9WdT/brSySSYaAoAUymvZDLJwEATKY9kEhGsgY/pNLRKCj4k3XfoqLLkZR0J5TK8K7Y2qWA++233+6wXSaTIT8/P2YuwxGxb36OmBVwn2r4BTNT3XmpAkEOhMLsCPSMCLZqoxNHtezVJS8lAXePzMsStwfcQFtaVl8JuP992IAfatiXoO8okGJedmRruvcUlytDbu4nKC9fjNbWr9rbnU4Niotno3//TyK+JoHdXgWNZh2rLTl5GWskkmgj53OwYaoSF2/TwHymgo7NBdy8U4vdc5OgiMIKOpHA4UigVF6P6urlyMx8C05nAxoa3kBm5isA2ka7udw4cDhiCIW5rPtSFBc8njrglSJ7qksB93nnnQcAqKqqQr9+/QAAOp0OZWVlJNgmwmpGPxH4HLRfEs7g/sq6nYxu9x7fV7NHt8cmCaAW9Z30h1CYly3GyoPuUcbf6+1otLgitmpnuOysseKFvwystnFJAjwzpnfUOuZwhMjJeR+VlfdBq/2ovZ2m9SgpuQI5ORsQHx+5iYl1dS+059cCODPBeGnE+hPtBifw8epEBW77uaW9rcLowu2/tOC/F0dXjfhIysh4DlVVD6CkZC44HDlSUlYgIeEKAMCxYwORmflmwJVIDIbdAe1/riXgPXUp4NbpdFi+fDm0Wi02bdoEADh+/DgeeOABjB07Fs8//zxksr4xSkJEVryAg2lpQnxf3fbhfZ58D+v2uLiLItArIhS+qyTpJMGWE8fDcCUfR7SeaSVWLBrUe/NDq41OLN7dAs9pZ2oRB+9fpASf03sCF4riITPzDXC5Cmg0b7a3M4wFpaU3IDt7rd8FQULJYjkBrfZjVltKysPgcGL7ykKoXd1fgr2Ndrx70r3Q0XdVVrx61Ihlw6NzYna4cTgSZGWtQVbWGp/bRo3S+b3f0KGFfm8rKZmPtuupnU1UPXs7hVGjtF3rLLoYcL/++uuor6/HY4891t42YcIEvP7661i1ahXWrFmD5cuXd/lBCaIn5mWL8X21DQk8DfqLizxuoSCTdf3XJhG9TA4aP9dH1+qSvcW8bHF7wA20pZX01oDb7mKwcJcWzTb3LEkKwHtTEpAm7X2j+hRFIT39WfB4Caire9bjFifKyxfD5dJDrV4Y1j7V1T0DwP33FwoHQKUKb+5srHpubDz+arLjoEca2Ko/9Tg/UYBJqdFTrak3ycv76tw7dVOXkoF+//133H333ZgwwZ0HxuFwMHbsWCxduhS7du0KVf8IwsfMTDH4HGC01+i2RDIKPJ4iMp0igmpnra29Gg0AZMm4GKSI7iogsWJeNvuHy6/1NjRZXX72jm1P7G/Ffo/a4wDw6Cg5pqT13h9vFEUhJWU5MjJe8rqFQVXVMtTXh68qg9G4B62t37La0tKeiPqKPtFCyKXw/lQlEoTuKzE0A9y6W4t6c+98z0aaXH5hQP8C0aVXvcVigVjc8eWf+Ph4UoebCCuFkIOLUoUYzf2d1U7KAfYeHVUnIfNFgiMvno8hCTwcb2mrgkAzbWkltwzsXaPcm0rNWHvCxGq7NEOIB0f0jcvxiYmLweXGoaLiDgDu4Kyu7mm4XDqkpa0M6XuKYRjU1q5ktUkkYxAfPztkj9kbZcp4eGeyElfvaG5Pcmi00Fi4S4utM9S9Ki0qGjQ3fxjQ/irVTV3et0sB98CBA7F582ZMmeJ7uX7r1q0YMGBA13tHEEEwN0uEZB17hJtMmOwdaIbB914B9+WZvXdEMhLmZYtxvMU9iXBLuaVXBdxFOgfu/U3Hausn42Lt5L414UypvAZcbhzKym4Bw7jfU42Nr8LlakG/fqtDtkiYXv8dTCb2Z3R6emiD/N7qkgwRVoyU48VD7vfsHw12PHNQj1W9ZOJvtKisvDeAvangB9wLFy7EsmXLcMMNN+Ciiy6CUqmETqfD7t27UVxcjNWrw3eJiiAAYHpKBerMje3bFpcYNc5RGBTBPhHBcVDjgMbqzvmM41OYmEzyFYNpfrYY//So2vFznQ1aqwvKXlAFxuigsWCnFkane9KTgANsnKpEQh8sqRYfPwP9+3+O0tLrQdPu57y5eSNcLj2ystb6LJHdUwzjQm3tM6y2uLjLIJNdENTH6UseGiHH/kY7dta657a8fsyIsUkCzMkiE1CDZciQwyE7dpcC7vHjx+M///kP1q1bh/Xr14NhGFAUhQEDBuDll1/GsGHDQtZBgugIx/Yza/uIaTT0FTQGkbKuMe+7KvaS49PSRRBE2eqSsW6Ago/BCh5O6NrSSlwMsK3SGvOr2TEMg2W/63BS52S1vzBOgVF9eNEQufxC5Od/hdOnr4TT2dzertNthsulR07Oh+Byg/fca7X/g9V6wqOFQlrak0E7fl/E5VB4Z0oCpmzRoMYjf/uuX1pQoOCjfzzJiw8GgSAzZMfu8jM0YcIETJgwATabDXq9HjKZDOXl5di0aRMee+wxMnGSCCvPVdUA4KBhAgpbLPjHyLiI9IcIHu/l3El1ktCYmy3GCY9L1FvLLTEfcK8/ZcJnpewfbNf0F2PhQEmEehQ9JJKRyM//FiUlV8DhqG5vNxh+wunTf0Nu7qdBmXRO01bU1T3PalMqr4VYPKTHx+7r1CIu3p+agJnfNOHsBRy9g8GCnc3YMTsREl7fu4ITakbjXhiNv56pI9/2R2cYBjRtgtH4BwYN2tXlY3XrJ9HevXvxxRdf4MSJE2AYBsOHR8fSsUTfwDAOGI2/sdoOGCaizOpESasDeTG6TDMBVBqdKGxxj05yqLaJbkTwzc8W418eAfeuWht0NjpmV7L7U2PHI3vZE/gHK3hYPUFB8obPEIkGYMCAb1FS8jfYbCXt7SbTPhQXz0Re3pfg85N79BgazTusgJ6iBEhNfbRHxyTcxiYJ8ezYeDzs8Vo/3uLE8j9a8eaF5LUeTBrNOlRXP4yOa3JzEBd3SUDH6/Ina0VFBVavXo1Zs2bh2WefhVarxcKFC/HFF1/gnXfeCehBCaInTKb9oGlj+7bWoUKZNR8AsKXc6u9uRAzwXuxmXJKgV+QVR6NBCh4GeFyGdjLA15WWTu4RvbRWFxbs1MLuTv2HnE9h4zQlpPzY/AERKgJBP+TnfwuxmD1QZrUWoqhoBmy28m4f2+nUoaHhZVabWr04pJfp+6Klg6X4WzY7b/u/JWZ8WGyOUI96J43mXcjl0zBsWCmSku6DSnULRoyoRXb2B+BwRAEvJNXpJ5HL5cJPP/2Eu+66C9deey02bdqE0aNHAwBWrVqFpUuXIiMjo/tnQxDdYDDsZG0fNExA23IWbdUWiNjVUTlAIjQoisI8ry/trTH4/qEZBkt/bkG1iV2X+PULEpBPrnZ1iM9PRH7+V5BKJ7Da7fYyFBdfDovlhJ97dq6x8TW4XLr2bQ4nDikpD/akq0QHKIrCaxcqWD+YAWDFHh0ON9sj1Kvex26vQGLireDxEiCVjoLJ9Ac4HDESEuYhKeleaDTrAjqe34B73bp1mDt3Lh555BEYjUY8+OCD+Oabb/DUU0+BYTpb8pIgQstg2M3a/tPo/tI4onWgTO/0vgsRAwwOGr+S1SXDyjvg/ulMWkkseemwATtq2K+b2wukmJ9DKjd0hsuNR17eF4iLu5TV7nDUobh4JkymgwEdz+GoQ2Pj26y25OR7weOpetxXwpecz8GGqUpIeO4UEpsLuHmnNubew9GKogSgqLbPEaGwP2y202CYtoW0ZLLxrLSsrvAbcL/33ntQKBR45513sGHDBlx99dWQy+UkP4iIKJer1eeLgBJNZm2TUe7Y9FONjZUSkCPn+ozgEME1JIGH/nHulB0H7XuVIZrtrLHieY/yhgAwNlGAZ84ntYm7gsORIDf3IyQkXMVqd7laUFIyz2dwozN1df8Cw7g/e3m8ZCQm3hG0vhK+Bifw8epEBaut3ODCHb+0gCYDoz0mkQxDa+vXAAChMA8AYDIdAADY7TUBH89vwD1v3jzU1dXh9ttvx5133olt27bBao2dD2KidzIYfoHnqmki0SBMy8xh7bOZBNwxiawuGX4URWG+1yh3rPxgrTY6sXh3C2s6k0rIwftTlaSMZAAoio+srHVQq29ltdO0EadPXw2dbts5j2G1Fvus0Jea+lBQSw0SHbu6vwSLB7H/zt9WWfHaUaOfexBdlZh4J5qa3kV5+RJwOCLEx89GefltqK5+CLW1T0Imm3Dug3jwG3A/+uij+Oabb/Doo4/C5XJh1apVuPzyy/H888+TL0EiYrzLAcrlUzAnSwzPV+ShZgfKDSStJJa4aAbbfQJukhIQDnN90kqs0Nuj+5K03cVg4S4tmj0unVMA3rsoAelSMsk2UBTFQUbGS0hOXs5qZxg7ysoWoLn5v53ev65uFTwHQoTC/gGtwEf0zHNj43Gemj1f4Zk/9filzubnHkRXKBSzkZv7SXtJy379/gORKB/NzR9CJBqMjIx/B3S8TidNikQizJ49G2vXrsXnn3+Oq666CgcPHgTDMHjiiSfw5ptvoqioKKAHtNvt+Oc//4mLL74YM2bMwMaNG/3uu3//ftx0002YMmUKbrvtNhQWFrbfRtM0Jk2ahLFjx7L+GQwGv8cjYp9vwD0VKRIuxiezF7X4KkZG6Yg2BzR2VvAUJ6AwMaXvLlQSTsOVfGTL3UGqzQV8H+VpJU/sb8V+jYPV9ugoOS5KIzn/3UVRFNLSHkda2iqvW2hUVt7pk599lsl0ADrdVlZbauoToCgyYTVchFwKH0xVIkHoHnqiGeDW3VrUm12d3JPojEazDiLRACQn3wcA4PESkJf3JUaMqEV+/lcQCAIrGtLlekn9+vXDXXfdha+++govv/wyBgwYgP/+979YsGABrr322i4/4GuvvYYjR47gjTfewCOPPIL3338f27dv99mvrKwM9913H8aOHYuNGzdi0qRJuOuuu9DQ0AAAqKmpgd1ux5YtW/DNN9+0/5PJZF3uCxFb7PYqr0kKvPalgr0vi5O0ktjinU5ySboIfA65khYOHaWVRPP758syM9aeMLHaLs0Q4sER8gj1qHdJTr4HmZmvwzs8qKl5BHV1/2QVTWAYBrW1T7H2k0hGQaGYF46uEh4yZTysm6xkXe1ttNBYuEsLB03yubujtnYlLJYjQTtewAVKORwOLrzwQvz73//Gtm3bcPfdd3f5vhaLBVu2bMEDDzyAwYMHY8qUKfj73/+Ozz77zGffzz//HIMGDcI999yDrKwsLFiwAMOGDcPnn38OoC0gT0lJQWpqKtRqdfs/ku7Se3mXA5RKx4DLbfuSnZPFDhgONjlQaSRpJbHCO+C+nFQnCSvvaiU/1FhhcERfWkmRzoF7ftWx2vrJuFg7WQkO+ewPGpXqJuTkvA+KYl9lqq9/ETU1D4Fh2l4bLtfvPouQpaWtJN/DETI9Q4TlXj88/2iwY9VBfYR6FNsEgmw4HJqgHa9HKwIkJCTg73//Oz755JMu7V9cXAy73Y4RI0a0t40cORKFhYVwOtnBUW1tLYYNG8Zqy8/Px9GjRwG0BdyZmaSYfl+i1+9ibcvlF7X/P03Kxbgk9pdDLNYU7ovKDU6c0Lnf/1yq7YuDCJ+RKj4yZey0kh1RllZictC4eacWRqd7tE7AATZOVSIhRlfHjGYKxTzk5n4CDoc9IU+jWYeKittB0zbY7W+ybpPLp0EunxLObhJeHh4px9Q09uq8rx0zYlsF+T4MlFp9M2pqHkd5+WLU17+M5uYPff4FIqw1t5qamhAXFweh0P1iUCqVcDgc0Ol0UKvVrPbGxkbW/evr66HT6QAApaWlMJvNWLJkCaqqqjBw4EAsW7YMWVlZYTkXIrwYhobRyC5RFRc3lbU9L1uMvY3uov9by624eyi5zBztvEe3xycLYnZ58Vh1dhGc14+5KxtsLrfgilxJBHvlxjAMlv2uY/0wA4AXxikwSk1y/UMlLm4q8vI24/Tpq1kL2rS0fAqz+RBoupi1f1raUyAii8uh8M6UBEzZokGNR/72nb+0oCCBj9w4Umq1q9qWdQdaWr7wswcV0OTgsP7lrVYrBAL2h+PZbbudvTrS9OnTsWzZMvz000+YPHky9uzZg59//hlJSUkAgPLyclgsFqxYsQISiQQbNmzAHXfcgU8//dRvHndxcXGH7aEQzseKRsE+f5frFJzOZo8WKWpq5KAo9+MMoykA7kvj+zR2/HqsBMnC8Oav9eXnvjvnvumUEIB7dPV8kRHFxbrgdSpMYv15P4/LAeC+svB9lQVHThZD3MWiH6E8/8/rePi0lP3dMSPRiQs5tYiGP3usP/edU0AgeBtW691gGPdnsM3GLpjA412GmhoJgN78t2CL5uf9mTwOlhwVwsW0pffoHQyu/a4O64dbIQpSIZ9wnX9+fn5YHsfbkCGHg3q8sAbcAoHAJ7A+uy0SsS8hjx8/HnfccQeeeuopOBwODBw4EFdffTUOHGgrOr5u3TrQNA2xuC3AWrVqFebMmYPdu3dj1qxZHT5+uJ604uLiiL1AokEozr+h4RtYPK6IxcdPQW7uYNY++QDOr2jEAY/qBUepFFyYH76JtH35ue/OuevtNP76vY7VdtN5GciLsSW5e8PznscweKKkoX2JdBtNoUyU4ZPf3ZFQnv+fGjtW/87Ooxys4OG9y1Ih5Uf+SkhveO7PLR82248oKZkHu73C51aK4mPAgH9BKMwOf9ciJNqf93wAGrERD+9tbW8rNnGwpkmNNy9M6PHxo/38g0EgCG7aclg/rZKSkmAwGOBwuAOi5uZmCAQCxMXF+ey/YMEC7Ny5E9u2bcOGDRsAAGlpaQAAoVDYHmyf3U5LS4NGE7wEdyJ6eE+YlMundrifd3CwleStRbWfamzwnJuXF8eLuWC7t6AoCnOz2QMfm8si+/7RWl1YsFPLWoFUxqOwcZoyKoLtvkQozMaAAd9BJCrwuU2luqVPBduxYulgKf7m9Z34UbEZG4tMfu5BeLPba1FV9QCOHx+JQ4dSYDYfQk3N49BqPw/4WGH9xBowYAD4fD6OHHGXWTl8+DAGDRoEHo892L59+3b8+9//Bo/Hg1qtBsMw+O233zB69Gg4nU7MmjWLVU7QbDajqqqK5HD3QjRtgdH4B6vNX8A916tayZ4GO+pIHdKo9W0VO6CbQaqTRNQ8r/fP9morzM7IVCuhGQZLf25pH3E/640LE5BPfpRFBJ+fivz8ryGRnN/exuOpkJKyIoK9IvyhKAqvXahAfjw7vlqxR4fDzXY/9yLOslpLcOrUJOh0WyGVng+GafubORwaVFQs8ak/fy5hDbhFIhFmzpyJF198EcePH8fPP/+M//u//2uv493U1NS+fHx2djY2b96M7du3o7q6Gs899xwsFgtmz54NHo+H8ePH4+2338aff/6J06dP48knn4RarcakSZPCeUpEGBiNe8Ew7hWz+PwMCIX9O9w3S85jrbjFgCyCE61cNIMd1eyV0GZkkoA7ksYkCZAmcX8tmJwMfqiOzGp1Lx02YEcN+7FvL5Bifg5ZgTSS2hb/2IK0tKfB51+LvLyvwecnRbpbhB9yPgcbpyoh4blLNdpcwM07tdDZoq/0ZzSpqXkMfH46Cgr+QlbWGrRFFEB29looFHPQ0PBaQMcL+zW5ZcuWYfDgwbjzzjvxwgsvYPHixZg+fToAYObMmfjhhx8AtI2GP/roo3jrrbdw4403QqPR4M0332xPI1m+fDkmTpyIxx57DAsXLgQAvPrqqz4j5UTs800nuajTOq/eaSVbSFpJVNqnsUPr8YGvEFAYn0QqTkQSh6J8atpHIi1rV60Vz//FXjV4bKIAz5wfH/a+EL64XCmSk++DULgcYvGgSHeHOIfBCXy8MlHBais3uHDHLy2shYwINqPxNyQnLzuz3gc75lCpboLVeiqg44U9OhWJRFi5ciVWrlzpc9u+fftY27NmzfI7AVIsFmPFihVYsYJcyurtvANu73KA3uZli/HUAXeh/9/r7Wgwu5AsCdLUbCIovqtklwOcniECj6wuGXHzc8SslRy/q7TC6mQg4oXnuakxuXDrrhZ4hgEqIQfvT1VCwCWvD4Lojmv6S7C30Y73Trrf299WWfHaMSPuG0bK53aMA+9A+yyaNgW8wBOZdUJENaez2WdpVZms84UVsuU8jFCx00q2VZJR7mjjXX+b5G9Hh3FJAqSI3V8NRieDH2vCswiO3cVg4U4tmj2ufFAA3rsoAelS8oOZIHrin2PjWSmXAPD0QT1+rY9M2li0k8kmoKHhZbhcrR6tFBjGBY3mXUilEwM6Hgm4iahmMLAXuxGLh4PPV/vZ280nraQ8ulbN6+tK9U6canUvYsKjgIvTScAdDTpKKwlXWtaTB1qxT8OezPXoKDkuSiOvDYLoKSGXwgdTlUgQukdmaQZYtEuLelJcwEd6+jOw2ytRWDga5eW3AqDQ0PAqTp6cBLP5ENLSHg/oeCTgJqJaR/nbXeFdbeHXehs0FvKBEi2+9RrdnkBWl4wq87wmJn5XaYXNFdpczy/LzFhTyC5XNj1diAdHkMvdBBEsmTIe1k1WshIlGi00Fu3SwkmTfG5PItFADBy4E3L5NBiNe0BRXBiNP0MkGoABA7ZDLB4a0PHINxwRtRiGgV7ftfrb3vrH8zBU6b50RjPA15VklDtafOeV4jMjk1SeiCYTkgRI8kgr0TsY7KwN3funSOfAPb/qWG0ZUi7WTk4AJ8A8SYIgOjc9Q4TlXj9kf2+w45mDej/36JtcLiOEwlxkZ6/DsGEnMXKkBsOGlSAn5wOIxYPPfQAvJOAmopbNVgqHo7p9m6KEkMnGd/n+87K8FvEg5QGjgs5G448GdtrA5SR/O6pwOR2klYQoLcvkoHHzTi2MTvfomoADbJyqhDJYa1ATBMHy8Eg5pqYJWW2vHTNiG6nq1e7YsQEoL18Cvf6noFRzIQE3EbW800lksgngcLo+Eupdr/eXOhuarSStJNJ+rLHCI7bCgHgecuNIOc9o472I1DeVFtiDnFbCMAyW/a7DCZ2T1f78uHicl0hKRBJEqHA5FN6ZksCquw8Ad/7SglK908+9+pakpPtgsRzG6dNX4vjxAtTUPAmL5Vi3j0cCbiJqdTd/+6z8eD4KFO5AzkXSSqICqU4SGy5IEUDlkVffamewuy641QzWnzLh01L2iNo1uWIsGigN6uMQBOFLLeLig6lKeFb81DsYLNiphcVJ8rlTUx/C4MF7MXDgTigUV6Cl5QucPDkZJ09eiMbGN+FwNAZ0PBJwE1GJYZwwGn9htQUacAPAXJ9qJeRyWSQ5aQY7qknAHQt4HApzvNKygvn++VNjxyN7W1ltgxU8rJ6oCLi+LUEQ3TM2SYhVY9gLSh3TOrBijy4yHYpCEslIZGQ8hyFDjiEvbwvE4pGorV2J48fJpEmiFzCb/4LL5Z7AweOpIBYPD/g43mklu2ttaCHL2UbMnkY7dHb3yEmCkMJYsrpk1PIur/l1pQWOIFQy0FpduHmXFnaPt6KMR2HjNCWkfPK1RBDhdHuBFH/zeq//X7EZHxaZ/Nyj76FpG1pbt6Kp6T3odJtBUXwoFHMDOgb5ZCOikm/+9hRQVOAv10EKPgbGu9NKnExbLioRGWR1ydhyYaqQVbO3xcbglx6mldAMg6U/t6DKyJ5P8fqFCuTH8/3ciyCIUKEoCq9dqEB+PHsuzYo9Ohxptvu5V+/HMDT0+h9RUXEHjh3LR1nZQjidjcjI+CeGDj2F7Ox3AzoeCbiJqORbDvCibh/Lu6YwSSuJHO/8bVKdJLrxORRme5Vs7Gm1n5cPG7Cjhh20Lx0sxd9yJD06LkEQ3Sfnc7BxqhISj4RuqwtYsFMLXR+9Knzs2ACcPn01TKa9SEy8CwUFfyE//xuoVAvA5Qa+PgAJuImo43IZYTLtZ7XFxV3U7eN5L4Kzs9bWZz9AIqmk1YESPXt1yWlkdcmo551Wsq3C2u0FMnbVWvHPvwystrGJAp8cUoIgwm9wAh+vTFSw2soNLtz5a0tQyuLFmvj4OcjP/xYFBX8iNfUhCIVZPToeCbiJqGM0/gbAHZgJhf0hEGR2+3gFCTzkeZSdc9C+Kx0Soef9N78gRYh4AfkIinZT0oRQCNyjXlobjd/qA08rqTG5cOuuFnh+bauEHLw/VQkBl6QVEUQ0uKa/BLcOYlcJ+qbSiteOGSPUo8jJzFwNkWggzOajMJuPwOls6dHxyLcdEXV6Wg7QG0VRmE+qlUScTzpJJhndjgV8DoWZPUwrsbsYLNypRbPHlSUKwLtTEpAuJYvbEEQ0+efYeJynZs+nePqgHr9244d2rDIYfkZx8SwcPdofp05NwalTF+Ho0f4oLp7pk/LaVSTgJqKOwbCLtd3TgBsA5mazg7ufaqzQ20laSbjobDT2eK0uScoBxg7vtJKvKqxwBZBW8uSBVuzTsJ//R0bJMZWkFBFE1BFyKXwwVcmaME0zwKJdWtSbe//icRrNOpSUzIfNVoHExNuQkfEC+vV7GUlJd8Fur8Pp01ehsfGtgI9LAm4iqjgcdbBaT3q0cCCTTerxcYcp+ciRu0fS7LTviCsROjuqrfBcpHCwgodsOVldMlZclCZEnEdaSZOVxu8NXate8GWZGWsK2eXFpqcLsXxE4JOOCIIIj0wZD+smK1ltjRYai3Zpuz2HIxaYzYdQXf0o1OpFKCj4ExkZLyAxcQnU6oVIT1+FgoKDSEy8DbW1T8FsPhTQsUnATUQVvX4Xa1siGQ0eT9Hj45K0ksgiq0vGNiGX8qko05X3T3GrA/f8qmO1ZUi5WDs5ARyyuA1BRLXpGSKfH8a/N9ix6qDezz1iX2Pj25BKx6Bfv5fA4fiuEUFRHGRkvACpdDw0mrUBHZsE3ERU8c3fnhK0Y3tfFv+hxgqDg6SVhJqDZrCjhgTcsc43rcTSaVqJyUFjwU9aGD2WiBZwgI1TlVCKSN42QcSCR0bKcVGakNX26jEjdjf3zvewyfQHVKqbzrmfSvV3GI2/BnRsEnATUYNhGBgMu1ltcXFTg3b8ESo+smTuDwmbC9hO0kpC7o8GO/Qeq0uqhBycn0hWl4w109JEkPPdo9INFhp7GjtOK2EYBsv+0OGEzslqf35cPM4jzz1BxAwuh8K7UxKQJmGHiyuLBKg2Ov3cK3Y5HA0QCDLOuR+fnwaHoymgY5OAm4gaVusJOJ0N7dscjhQSyZigHZ+iKJ9ROpJWEnrfVbH/xpf2E4FLVpeMOSIe5XNlwt/75/1TZnx6mn3b1bliLBoo7XB/giCil1rExQdTlTi7Jg6HAm7KcCCtF1YY4vGUcDhqz7mfw1EHPj8xoGOTgJuIGr7LuV/YYQ5VT3gH3DuqbTCRtJKQYRjGZzl3kk4SuzpKK6G9FsT4q8mOh/fqWG2DFDy8MlEBiuRtE0RMGpskxKox8VCLOPjyUhUW9XP2ynkYUul4NDd/dM79mps/glQ6PqBjk4CbiBq+5QCDl7991nlqPjI8fpVbXAx2VPed2qLhVtzqRKnBXUZKwAGmpQs7uQcRzS5OF0HqsfRznZnGPo+0Eq3VhQU7tfCsuCnjUdg4VQkpn3zdEEQsu71Air1/S8KUtOgYNKFpGyor78ORI1k4enQAGhpe9btvS8smnDgxAYcPp+HEiQvQ2vpth/slJd0Jo/E31NY+6/dYNTVPwGT6HUlJdwTUX1KXi4gKNG07s8Kkm1wevPzts86mlbx53L1q1pZyC+bniDu5F9Fd3tVJLkwRQk4Cr5gl5lG4rJ8Im8rc6SJbyi1YpARohsHSn1tQZWTX6X39QgUGKPjehyIIIsZQFAVVFE14rq19AibTPuTlbYHdXoOKitshEGQgIeFK1n5G4++oqFiKjIyXIJdPQmvrdpSW3oSBA3+ERDKCta9UOgZpaU+jtvZJ6HRbER8/A0JhNiiKB5utEjrdVthsp5Ge/hwkklEB9Zd884WI3V4Dhum9tSqDzWTaD5o2t2/z+akQiQaF5LG8ywN+X22F2UnSSkLBezl3kk4S+7zTSraWW0EzwMuHDdhRw75atHSwFH/LkYSzewRB9AEulwlNTRuRnv48JJKRUChmITn5Xmg07/jsq9V+jPj4uVCrb4ZQmIukpNshl09CS8uXHR47Ofke5OZ+Ai5XjsbGN1BV9SAqK+9DQ8PL4PGUyMvbhKSk2wPuMxnhDgGXqwgnT94BlWoB0tJWkbzFLugonSRUf7fRiXykS7ioObNiltnJ4IdqG+Zmk1HuYNJaXdjrVcViBlnOPeZNzxBCwqNgPlPur8bswgfVPKypMLD2G5sowKox8ZHoIkEQvZzFcgwMY4NM5s6jlkrHo77+32AYJyjKHd6q1UtAUd5X2SgwjP8qZfHxlyI+/lI4nVrY7ZUAGAgEmeDxVN3uM6XT6frMMGxxcXHIH4Omq2CxLAbDaAEAPN5cCIWPsJ58wpfZfAto+nj7tlD4NPj8mRHsEUEQBEEQkZafn+/TptNtQWXlMgwfXtreZrWewokT4zB06Enw+Sl+j2exnMDJkxciJ+d9KBRzQ9LnjvSpKLCjJy2YGIbGqVML24NtAHA6t0IqZZCd/S44nL4xWay4uDigv7XTqcPRoydYbfn513b6humpPQ02zPjGXUNTxqNQfH0qxLyejaoHeu69ife537JTi80eZeMeHC7DE6N754hnX3vevywzY+Gulg5vowBsulSFqel942pGX3vuPZFz75vnDkT+/Gna4hNTUZTwzG3+CyE4HBqUlf0dMtkExMfPDmkfvZEc7iCiKA4yM98ERSWw2ltbv0Jp6bVwuYx+7tm3GY0/A3DnUItEBSENtgFgbJIAKWL3y9/oZPBTDVkEJ1jsLgY/+qwuSVJ2eovpGSL4mzv1yCh5nwm2CYKIDIoS+QTWDNO2zeF0PG/Ebq9BSclsAFzk5GwERYU3BCYBd5BJJCMgFr8DPp+9UpHBsAslJfPhdHY8KtSX+eZvXxTyx+RQFOaQRXBC5vcGGwwOd7ZaooiD0YmkUkVvIeNzMD3DN6i+JF2I5SPkEegRQRB9CZ+fCpdLB5p2zxNyOBpAUULweAk++9ts5SguvhwAhfz8beDxlGHsbRsScIcAh5OFAQO+g1DIvtxiNh9AcfEsOBz1EepZdNLr2QvehCPgBnyrlXxbZYXN1WemNITUt16L3VzaT9QrF0noy7zfPxlSLtZNTiDPM0EQISeRDANFCWAy7W1vM5n2QCIZ6TNnzulsQUnJfHC5ccjP/xp8flK4u4v/b+/Ow2O6/geOvyeTZbIHkUjIYkmIFvH9koZKQu371tq7aKmqqlq6+rZSShdKi9KilKK109qXUq0WbW1VRchCgkQSWWWZ7fdHfhluJoglk0Q+r+fJ82TOvXPnnHtn5n7m3M89ByTgLjW2trUICNiGvb1yjMfc3FOcPduJvLzYsqlYOZOXF0t+fozpsUplg5PT4xZ57VAPWzxuSivJ1BrZe0nSSu6X0Wg0G39bhgN8+PTyt6ft/09i5G5rYPkTValajsboFUI8vKysHKhadSDx8RPIzv6L9PStJCbOpXr1EUBBb7fBUHDV+vLlKeh0qfj6zsNo1KHVJqLVJqLXp1u2zhZ9tUrGxsadgIAfcXJqqSjPz4/l7NlO5OScKqOalR+ZmT8rHjs6hqBWO1rktdVWKnr4KXvpNsZIWsn9Op2mIy5LObtkG+/KccNwZaK2UrG2fTWOP+nJhv/mEuxuW9ZVEkJUIrVqFUw+c+5cDy5cGEeNGq9TpUofAE6erM+1a+sBuHZtIwZDBmfOhHPyZH3T38WLr1u0vpVqlJKyoFa7ULfuOmJiniMjY4epXKe7QlRUF+rWXYujY7MyrGHZyswsm3SSQj387Vl0Otv0eOvFXPL1RmzVcln8XhXt3Q73ssNJZpd8KKlUKvycrYmSjm0hhIVZWTng5/clfn5fmi1r2jTN9P/NQweWJTkLWoCVlT116iynSpV+inK9Po1z53qSkbGvbCpWxoxGvVkPd2lM5347LT1tcdfc+Bhk5BvZd+nWQwqJO5N0EiGEEELJ4gF3fn4+06ZNo23btnTq1Illy5bdct0//viDp59+moiICIYPH86pU8oUjF27dtGnTx/CwsKYMGECqampt9hS2VOpbPDz+xJ39+GKcoMhm+jofqSl/VBGNSs7OTl/o9ffGLVFrXbFwaGpRetgbaWiu58yINwUJ2kl9yo5V8/hIrNLdpSAWwghRCVn8YB79uzZnDhxgrlz5/L222+zZMkSdu7cabZeTEwMY8aMISQkhGXLlhEWFsaoUaNITEwE4NSpU0yePJnnn3+exYsXk52dTWRkpIVbc3dUKitq1fqEGjWUeUNGYz4xMc+RkrK8jGpWNoqOTuLkFI5KZflr0z2LjLawJS4HrUFGK7kXOy/mcvOee7SqDT5OkrkmhBCicrNowJ2Tk8OmTZsYN24cQUFBREREMGTIENasWWO27tq1a2nQoAGjR4/Gz8+PZ555hkaNGrF27VoAVq1aRZs2bejWrRsBAQFERkZy8OBBLl68aMkm3TWVSoWX10Rq1pxaZImBCxdeISnpizKpV1ko6/ztQq1q2FHV7sZHIS3fyP7LklZyL4qmk3SW3m0hhBDCsgF3VFQU+fn5NGlyY6i84OBgTp06hU6nU6x76dIlGjVqpCgLCAjg77//BuDkyZM0bXoj/cDT0xMvLy/T8vLOw2MUvr5zKXoIEhImcunSBxiND3cPq8Fwnezsg4oyFxfL5m8XsrZS0a1oWolMgnPX8g3wU4Lyh4oE3EIIIYSFRylJTk7GxcUFO7sbQ4RVrVoVrVZLWloa7u7uivKkpCTF869cuUJaWhoAKSkpivVv9ZybRUVFPYBWlEzJXusxNJqPyM2dCGhNpYmJM0hNjcPWdoLFpx59UO7Ufp3uIEbjjVxflcqbuDgdKpXljtHNmtlYsYwbweGm6GxGuidjfQ+735Lvs/LkSLoVWbobPxSr2RhxvBZHVFrZ1cmSKutxL1SZ2y9tr5wqc9vBcu0PCAi480oVgEUD7tzcXGxtlWO1Fj7Oz1feaNW+fXvGjh3LTz/9RHh4OAcPHmT//v14eHjccls2NjZm27mZpQ5aVFTUXbxWAJmZ9YmOHoTBcGN4Oq12DU5O4Oc3D5WqYk2JXZL2JyQsI/em7IOqVdvj6xtYyjW7NX+DkfeiLpOWXxAwputUJDr70Nr77npo7+7YP1ymb49VPO5a25H6gbXKpjIWVpmPO1Tu9kvbpe2VUWVv/72waPepra2tWUBc+FijUQY2oaGhjBw5kkmTJtGqVSsWLlzIU089haOj4y23pdVqzbZTETg7R1Cv3ibUajdF+bVra4iOHmKaLelhUl7ytwvZWKnoWmQSHEkrKTmj0cgvqcobXmU4QCGEEKKARQNuDw8PMjMz0WpvpE+kpKRga2uLi4uL2frPPPMMe/fuZfPmzSxduhQAb29vAKpXr05KSopi/eLSTCoKR8dmBARsxdq6hqI8I2MH58/3tfgUpKVJq00iJ+fkTSUqnJ0jyqw+hXoWCbh/jMtFJ6OVlMipazou5934OtGoobXMLimEEEIAFg64AwMDsbGx4cSJE6ay48eP06BBA6ytldktO3fuZPr06VhbW+Pu7o7RaOTAgQP897//BeDRRx/l+PHjpvUTExO5cuUKjz76qGUaUwrs7RsSGLgdW1t/RXlW1m9ERfVAq00um4o9YJmZ+xWP7e2bYG1dtYxqc0NrbztcbG/MMJmca+C3xFunKIkbio5OEuFlh8O9JMALIYQQDyGLnhE1Gg1dunThk08+4Z9//mH//v0sX76c/v37AwU3Veb+f2Kvv78/GzduZOfOncTHxzN16lRycnLo1q0bAH379mXHjh1s3LiRc+fOERkZScuWLfH19bVkkx44Ozt/AgO3o9E0VJTn5BwnKqoz+fnle9jDkiiaTlJWo5MUZatW0aVIGsQPklZSItsvKvdTJx/7W6wphBBCVD4W74IaO3YsQUFBvPzyy3z00UcMGzaM9u3bA9ClSxd2794NFPSGv/POO8ybN4/Bgwdz9epVvvjiC+ztC07kjRs35p133mHx4sW88MILODk5MWnSJEs3p1TY2NQgIGALDg7NFeV5eVGcPduZ3NyKe2e00WgkM3Ofoqys87dv1qu2MlD8IS4HvaSV3NbVHD1/XtUqymR2SSGEEOIGi08Bp9FoiIyMLHZWyMOHDysed+3ala5du95yW926dTP1eD9srK2rUK/eRmJihih6hLXaeKKiOlO37locHILLroL3KC8vCq02wfRYpdLg6PhYGdZIqY23BmcbFZnagiA7KcfAwaR8Hq8h+ci3siNeObtkk2o2eDtafsZQIYQQorySJMtyTK12pE6d73Fz66ko1+mSiYrqQVbWgTKq2b0r2rvt5NQSK6vy0xtqp1aZTdayUdJKimU0GvkhNoePjmYqymV0EiGEEEJJAu5yzsrKDn//xVSr9rSi3GDI4Ny5vqSn7yijmt0b8+EAy0f+9s16+hcZrSQ2B8NDPvPn3TqZqqXH9mSe2ZtKfLZesUxmlxRCCCGUJOCuAFQqNT4+s/HwGK0oNxpziY4eTGrq2jKq2d0xGrVkZv6qKCsPwwEW9URNDU7WN0YruZJj4HCSjFYCkJKrZ/zvaYT/kMQvV8z3SUh1W5pUq1gTNQkhhBClTQLuCkKlUuHtPRkvr/eKLNERFzecq1e/LpN63Y3s7L8wGG6kH1hbu2NvX/6GcbS3Vpnd9FfZ00q0BiNfnsriP+sS+fp0NkXvI1WroL+XlrUdqqFSqYrfiBBCCFFJScBdgahUKmrUGIePz0zg5qDGSHz8eK5cmYGxHKc+FDc6iUpVPt+C5mkluZU2rWRPQi6tNibx1qF00vPN98ET3nYc6OXBhLpaXGzL5/EUQgghypLFRykR98/d/XnUaldiY0cAOlP55csfoNen4e09pVz2Mpbn4QCLalfLDgdrFdd1BQFmwnU9f13V0tzDtoxrZjnn03W880c6O4pMalOojrOaaY+50rGWBpVKRdRVC1dQCCGEqCCkO6qCqlKlL3XqrESlUqY+JCXN5cKF0RiNuls8s2zo9RlkZ/+hKCvPAbeDtRUda1XOtJL0fAPv/pFO6MbEYoNtZxsVU5q58HtvTzr52JfLH3dCCCFEeSIBdwXm6tqBevXWY2XloihPTV1OTMxQDIa8MqqZuaysX4Ebo1nY2QVga1ur7CpUAkXTSjbF5pTrlJ37pTcYWXY2m2brEplzMgutQblcBTwd4MBffT0Z3cgZO7UE2kIIIURJSMBdwTk5tSQg4Eesrd0V5enpPxIdPQC9PquMaqZUkdJJCrWvZYf9TUFlfLaeI8na2zyj4vo9MY8nNl/l1QNpXM01mC0P9bBlb/fqzGlVBQ97mdRGCCGEuBsScD8EHByaEBCwHRsbZY9xZuZezp3rjU53rYxqdkNGxj7F44oQcDvaWNG+lnKGyU0PWVrJxSwdL+xLpfPWZI6nmP+YqOmg5uuIKmzr4k6we+XJXxdCCCEeJAm4HxIaTT0CA7djZxegKL9+/Q+iorqi1V4po5pBfn4CeXlnbypR4+zcqszqczce1rSS6zoDHx3NIGR9EutizH9EaNTwZrAzf/T1oG8dB8nTFkIIIe6DBNwPEVvbWgQEbMPevomiPDf3FGfPdiIvL7ZM6lU0ncTRsRlqtWuZ1OVudfDRoLkpgyIuS19sT3BFYTQaWR99nZD1SXx0LJMcvfmPhz617fmjjydvN3XBwVq+IoQQQoj7JWfTh4yNjTsBAT/i5NRSUZ6fH8vZs53IyTll8TpVxPztQs42VrStqRytpKKmlRxLzqfLtmSe//ma2XTsAI2r2rC1szuLW1fFx0lGDBVCCCEeFAm4H0JqtQt1667DxaWjolynu0JUVBeys/+0WF2MRkOFDrjBPK1kYwVLK0nK0fPqgWu0+fEqvyeaT8deXWPF7Mfd2Nu9Oi1r2BWzBSGEEELcDwm4H1JWVvbUqbOcKlX6Kcr1+jTOnetpdhNjacnJ+Qed7saMKFZWzjg6NrPIaz8onXw03DyBYkymnr9Ty39aSb7eyJy/M2m2LpFlZ69T9CeCjRWMftSJP/t68kygI2orydMWQgghSoME3A8xlcoGP78vcXcfrig3GLKJju5HWtoPpV6Hor3bTk6Po1LZlPrrPkgutlY8USSt5IfY4mdfLA+MRiPbL+bQYmMi7/6ZQYbWvDe+o4+G33t5MKW5K64yHbsQQghRquRM+5BTqayoVesTatR4XVFuNOYTE/McKSnLS/X1iwbcLi5tSvX1SktFSSs5k6blyV0pDNidyvkM8zztQFdr1ravxqp21ajnWrF++AghhBAVldwZVQmoVCq8vCaiVruRkDDxpiUGLlx4Bb0+HQ+PUQ/8dQ2GXLKyflOUVbT87UKdfTTYWGGaffFcho5T13Q8UrV8BK1peQY+OpbBwn+zKWbgEVxsVbwd7MKwIEdsJHVECCGEsCgJuCsRD49RqNWuXLjwKnBjNsGEhInodNfw8pr4QMdbzs4+hNF4Y0QPGxtv7OwCH9j2LcnNzoo23nbsjM8zlW2KyynzgFtvMLL07HU+OJJBap75DJFWKngu0JF3/uOMu0ZmiBRCCCHKgqSUVDLVqg2hdu2lqFTKWQMTE2cQH/8GRqN50HavMjN/Vjx2dm5doSdQMZsEp5gJYyxp/+U8wn9IYtzvacUG261q2PJzDw9mtnSTYFsIIYQoQxJwV0Jubt2pW3cNVlaOivLk5IXExY3AaHwwI3BkZu5VPHZ2rpj524W6+NpjfdPvhTPpOk6nWX60kthMHc/8lEKP7cn8c01nttzXSc3SNlX5sZM7jcpJyosQQghRmUnAXUk5O0dQr94m1Go3Rfm1a2uIjh6CwXB/vbc6XSrXrx8ze82KrIqdFRHeynGqN1qwlztLa+CDvzJ4bEMiP8SZj5LiYK3if/9x4VBvT3r621foqwlCCCHEw0QC7krM0bEZAQFbsbauoSjPyNjB+fN90evT73nbmZn74aaRnzWaR7Cx8bjn7ZUXRdNKfrDArJMGo5FV56/TfH0iM05kkmc++Aj969rzZx9PJjRxxt5aAm0hhBCiPJGAu5Kzt29IYOB2bG39FeVZWb8RFdUDrTb5nrb7sAwHWFRXXw3qm+LZU2k6zpZiWslfV/PpuOUqI/Zf4/J18zzt/7rbsKtrdb4Kr4q3o+RpCyGEEOWRBNwCOzt/AgO3o9E0VJTn5BwnKqoz+fkX73qbD1v+dqFqGjVhXsq0kk2l0Mt9+bqel/an0nbzVf64ah7Qe9pbMT+sCru6Vae5h20xWxBCCCFEeSEBtwDAxqYGAQFbcHBorijPy4vi7NnO5OZGlXhbBkM8+flxpscqlS1OTi0eWF3LWq+io5UUk099r3J1RmaeKJiO/fvz5oG8rRWMbVQwHfvAeg5YSZ62EEIIUe5JwC1MrK2rUK/eRrPeaK02nqiozmY3Qd6KXn9I8djR8TGsrBweVDXLXFdfDTfPHXMyVcv5dPPRQu6G0Wjkx7gcHtuQyOS/MsjWmc9e09VXw6Henkxq5oqzjXx0hRBCiIpCztpCQa12pE6d73Fz66ko1+mSiYrqQVbWgTtuQ6c7rHj8sKSTFKpur6ZVjSJpJXH3nlbyT6qWnjtSePqnVOKyzO+IDHKzZmPHaqxoW43aLjJXlRBCCFHRSMAtzFhZ2eHvv5hq1Z5WlBsMGZw715f09B23fK7RqEev/1NRVlGnc7+dnv4axeN7yeNOzdUz4fc0wn5IYv/lPLPlVexUzAh15ZeeHrT21hSzBSGEEEJUBBJwi2KpVGp8fGbj4TFaUW405hIdPZjU1LXFPq8g7STD9FitdsPBoUkp1rRsdPO15+bs6eMpWmIzS5ZWojUY+epUFv9Zl8ii09kYimSPqFXwYpAjR/rWYFiQE9ZWkqcthBBCVGRyfVrckkqlwtt7Mmp1FS5fnnzTEh1xccPR69OpXv0FxXPMRyeJQKV6+Iar83RQ07KGLQeu5JvKNsXm0OUOHdF7E3J5+3A6p9OKD85be9vxYYgrQVVkhkghhBDiYSE93OK2VCoVNWqMw8dnJij6dI3Ex4/nypUZGI03umiLjr/9sOVv36ynX5HRSm6TVhKdoWPg7hR670wpNtiu7axmZduqbOhQTYJtIYQQ4iEjAbcoEXf35/H3X0TRiyKXL3/ApUvvYjQa0euzyc5WjlDyMOZvF+rur0wrOZKs5VKuMv0jI9/ApD/SeWxDItsumg8f6GSt4v1mLhzs7UkXX5mOXQghhHgYWTylJD8/nxkzZrBnzx5sbGwYNGgQzzzzTLHrHj16lFmzZhEbG4uPjw+jR48mNDQUAIPBQEREBHl5ypvN9uzZg7Ozc6m3ozKqUqUvVlbOxMQ8g9F4I3hMSpqLTpeGm1s3jMYbk7TY2vpjZ+dfBjW1DC8HNaGetvyeeCOt5KdkNREUTMe+Iuo6U45kkJRjPkMkwOAAB977jwueDg9fyo0QQghRmgyGPOLj3yAtbSMqlR0eHqPw9BxT7LrXr//NxYvjyMk5iUYTiI/PLBwd/2PR+lo84J49ezYnTpxg7ty5JCUlERkZSY0aNejQoYNivdTUVMaPH8+zzz5L27Zt2bVrF6+//jqrV6/Gy8uLhIQE8vPz2bRpEzY2Ny7BOzk5WbpJlYqrawfq1VvP+fMDMBhu3ByZmrqc9PQfFes+zOkkhXr42SsC7j0pajon5vHWoXSOpRQ/5XtIdVs+esyV/1SXGSKFEEKIe3Hp0rtkZx+mXr1N5OcnEBf3Era2tahSpa9iPb0+m/Pnn6JKld74+c0lOXkJ0dH9aNjwKGq15TpoLZpSkpOTw6ZNmxg3bhxBQUFEREQwZMgQ1qxZY7bu8ePHAXj22WepVasWQ4cOxc7OjpMnTwIQExNDjRo18PLywt3d3fQnl+RLn5NTSwICfsTa2l1RrtenKx67uLS2YK3KRo8is06ezFTTaWtyscG2t4MVC8OrsKOruwTbQgghxD3S67NJTl5GzZof4uAQjJtbVzw9X+Xq1YVm66alrUelsqZmzaloNPWpWfND1GoXrl3bYNE6WzTgjoqKIj8/nyZNbgwTFxwczKlTp9DplDeSubq6kpWVxe7duzEajezbt4/r169Tr149oCDg9vX1tWT1xU0cHJoQELAdG5tat1hDhZNTuEXrVBZqOqoJuUPwrFHD602c+aOPJ0/VdZAfhUIIIcR9yMk5idGYh5NTqKnM0TGU69ePYDQq48ns7D9xcgpFpSoIeVUqFY6Oj5GdrZykr7RZNOBOTk7GxcUFO7sbs/RVrVoVrVZLWlqaYt2mTZvy1FNPMXHiRFq2bMkbb7zBm2++Se3atQGIjo7m+vXrvPjii3Tu3JnXXnuNuLg4Szan0tNo6hEYuB07u0CzZQ4OTbG2rlIGtbK8Hv63Hguwt789h/t4MvE/LjjKdOxCCCHEfdPprqBWV8HK6sb518bGA6MxH50uWbGuVnsFG5saijJraw+02ksWqavpNS35Yrm5udjaKnsDCx/n5+crynNycrh06RLPP/88rVu35tChQ8ycOZM6derQqFEjYmNjycnJ4fXXX8fBwYGlS5cycuRIVq9efcs87qioqNJpWBm/Vlmztp6LVjsGg+FfU5lO91il2Qcd7aBjq1stvU7e5RQqx56oXO/7oipz26Fyt1/aXjlV5raD5dofEBBgVmYw5GBlZacoU6ns/n9Zntm6hcsKWVnZYjSaz/BcmiwacNva2poF1oWPNRplL+Hy5cvRarWMGDECgPr16xMdHc3ixYuZNWsWCxYswGAwYG9fkEM7ZcoUunfvzs8//0zXrl2Lff3iDlppiIqKsthrlRd6/Q7i498kLe0HVKqmBAVNUvzyfNgtPp3N5L/ScbHSM/4/VRkS4IC6ks0QWRnf94Uqc9uhcrdf2i5tr4zKuv0qlcYssC4MoK2sHBTlVlYas+DaYMg3W6+0WfQat4eHB5mZmWi1N24oS0lJwdbWFhcXF8W6p06dok6dOoqyoKAgLl0quARgZ2dnCrYLH3t7e3P16tVSbIG4FbXaBT+/+TRufBF7+1mVKtgGeL6BI9GDvFjXLJdn6ztWumBbCCGEsBQbGy/0+jQMhhuduFptIiqVnVk6q42NF1ptkqJMp0vE2trTInUtZNGAOzAwEBsbG06cOGEqO378OA0aNMDaWtnZ7u7uzrlz5xRlMTEx1KxZE51OR9euXdm5c6dp2fXr17l48SJ+fn6l2whxW4U3JVRGVnIzpBBCCFHqHBwaoVLZKibby84+iINDMCqVMp50dGxGdvYh06zYRqOR7OzDODo2t2idLRodaTQaunTpwieffMI///zD/v37Wb58Of379wcKbqrMzS2YUKV3794cPXqUZcuWkZCQwKZNm9i8eTMDBw7E2tqa0NBQ5s+fz5EjRzh//jzvvfce7u7uhIWFWbJJQgghhBDCgqysHKhadSDx8RPIzv6L9PStJCbOpXr1gjRkrTYRgyEHADe3nhgM2cTHv0FOzmkSEt5Br8+kSpU+lq2zRV8NGDt2LEFBQbz88st89NFHDBs2jPbt2wPQpUsXdu/eDcAjjzzCjBkz2L17N4MGDeL7779n8uTJNG9e8ItkwoQJtGzZkokTJzJ06FAAPv/8c7OeciGEEEII8XCpVWsqDg5NOXeuBxcujKNGjddNQfTJk/W5dm09UJDyWqfOarKzD3HmTATZ2YeoW3eNRSe9AVClpaUZLfqKlUBZ30xQ1ipz+6Xt0vbKqDK3X9ouba+MKnv770XlTbgVQgghhBDCAiTgFkIIIYQQohRJwC2EEEIIIUQpkoBbCCGEEEKIUiQBtxBCCCGEEKVIRikRQgghhBCiFEkPtxBCCCGEEKVIAm4hhBBCCCFKkQTcQgghhBBClCIJuIUQQgghhChFEnALIYQQQghRiiTgvgs7duwgJCSEFStWKMpfeukl5s+ff8vnhYSEcPjw4dKu3gOXmprKxx9/TLdu3QgLC+PJJ59k4cKF5ObmlnXVHoiQkBDFX/v27ZkyZQrZ2dml/tp//fUXISEh6HS6YpcvWLCA4cOHl3o9oGz3Q3l3p892RVWZjnl5/pyXNz179jTbX4V/+/bto2fPnmzcuPGWzy1cdv36dTZv3lzssgftXs/LpeH999/nvffeA8rvsd+4cSM9e/bk0qVLhISEcPHixbKuUqVhXdYVqEh27tyJj48PW7ZsYfDgwSV+3tatW3F1dS3Fmj14SUlJDB8+HG9vb95//328vLw4d+4c8+fP58CBA3z55ZdoNJqyruZ9mzZtGsHBwRgMBhITE/nwww/57LPPmDhxYpnWa8iQIfTv399ir1de94MoPZXpmFemtt6vMWPG0LFjR7NyFxcXZs2adcvnffPNN9jb2wOwYsUKDh8+TLdu3cyWPWj3el6u7Dw9Pdm6dStVqlQp66pUGtLDXUIZGRkcPHiQ4cOHc+7cOc6cOVPi57q7u2NjY1OKtXvwpk+fjoeHB3PmzOG///0v3t7ehIeHs2DBAq5evcrXX39d1lV8IFxcXHB3d8fDw4NGjRoxYMAAdu/eXdbVwsHBwaI/0srrfhClpzId88rU1vvl6OiIu7u72Z+tre1tn1elShVTJ4zRaLzlsgfpfs7LlZ1arcbd3R21Wl3WVak0JOAuoZ9++glbW1vatWuHr6+v4nIZQHJyMiNHjqRVq1Y8//zzXLhwwbTs5pSS5ORk3nrrLdq2bcvjjz/OkCFDOHLkiEXbciepqan88ssvPPvss1hbKy+CODs7M2DAAH744Qf0ej1fffUVXbt2NbX7xIkTQPGX026+3LZgwQImTpzI9OnTadOmDT169OCbb76xWBtvpeiv/ezsbD744AM6duxIy5YtefLJJ/npp59My4umC23evNnUqwNw5swZRowYQVhYGL169eKHH35QbH/jxo1069aN8PBwJk2aRF5eHmDZlJLiFN0PBoOBb7/9lt69exMWFsaIESM4e/asaXlISAhffvklHTp0YNSoUWzevJnhw4ezaNEiOnToQOfOnZk5cyYGg8H0nM2bN9O/f3/CwsJ45pln+OuvvyzWvrtV2J4lS5bQtm1bOnXqxPbt29m1axfdu3enbdu2zJs3z7R+Xl4ec+fONR3bcePGcfny5TJswZ0VPeZGo5Gvv/6arl270qZNG1599VWz77UtW7YwaNAgIiIiGDlyJPHx8cCdP/8A+/btMx3/p59+mt9//72UW3jD3XzOly5dana1ad26dQwaNAiArKwsIiMjadOmDZ06dWLatGm3TFdZu3YtvXr1olWrVgwaNIhffvnFtOzEiRMMHz6csLAwwsPDefXVV0lKSnqQzX6g/v33X1q3bs3q1auBG2kjmzdvZtGiRRw/fpyQkBDFsgftTuflQpcvX6ZLly58/vnnrFy5kiFDhpiW7du3j5CQEFOwrtfradu2LcePH0en0zF79my6detGixYt6NGjB2vXrr2rOq5du5YOHTrQvn17Fi9erFj2yy+/8PTTTxMWFka/fv0UPwJfeuklli5dyiuvvEJYWBhDhw4lPj6eqVOnEhERQd++fTl27Nhd1eVmRVNK0tLSeOONN4iIiKBXr16sW7fOdPzg1u/PtLQ0QkNDTecDo9FIu3bt+PTTT03PnT59OlOnTlW0uVWrVrRp04Z33nmHrKyse25HRSIBdwnt2LGDFi1aYG1tTXh4ODt27FCcTLZs2UKbNm1Yvnw5NWvWZPTo0cXmbk2aNAmdTseiRYv49ttv8fT05OOPP7ZkU+7o9OnTGAwGHnnkkWKXBwcHc+3aNVauXMmaNWuYPHkyq1atokGDBrz99tuKoOp29u7di1qt5ptvvqF3797MmzeP6OjoB9mUu5KWlsaqVavo1KmTqWzWrFnExsYyZ84cvv/+e5o2bcq0adPIz88v0fZGjRqFv78/y5cvZ+TIkXz88ceKL8k9e/bw2WefMWPGDPbt28emTZtKo2l3pbj9sGjRIlasWMHYsWNZtmwZ3t7ejBkzRhFY7N+/n4ULFzJu3DgA/vnnH2JiYliwYAEjR45k9erVHDx4ECgIYD/55BOeeeYZli9fzmOPPcZrr73GlStXLNvYu3Dq1CkuXLjAN998Q7t27fjwww9Zs2YNs2bN4uWXX+abb77h3LlzAHz00Ufs3buXyMhIFi9ejF6vZ/z48ej1+jJuRfGKO+arV69m69atREZGsmTJEnx8fBg1apTiHo5Fixbx2muvMX/+fFJSUhQ/Om7n7NmzREZG8uyzz/Ldd9/Rq1cv3njjDcWPuNJyt5/zDh06EBsby/nz503r7969mw4dOgAwZcoU0tPTWbBgAbNmzSIuLo7Jkyebve6ZM2eYOXMmY8eOZc2aNbRr14533nmHzMxMsrOzGTduHCEhIXz//ffMmTOHhIQElixZUur7414kJCQwduxYhgwZQr9+/RTL2rVrx+DBg3nkkUfYunVrqdbjTudlKDjeY8aMoUWLFowZM4bQ0FCioqJIT08H4MiRI6hUKo4fPw4U/JAAePTRR1m6dCn79+/nww8/ZO3atXTr1o1PP/2Uq1ev3lUd58yZw7vvvsuKFStMPzz++OMP3nzzTbp06cLy5cvp1asX7777Lv/884/puUuWLKFnz54sXbqUjIwMnn32WTw8PPjmm2/w9fVl5syZ97P7FP73v/+RmprKwoULef3111m0aJFp2e3en25ubjRo0MDUYRIVFUVmZqZpfxa2tWXLliQkJPDWW2/Rp08fVq9ezYcffsiff/7J+vXrH1g7yjMJuEvg6tWrHD16lIiICADatGlDWloaBw4cMK0TERFBv3798Pf356233iI9Pb3YHpuwsDBef/11ateuTZ06dXjyySeJiYkxuwRXljIyMoCC3uziuLi4AAU9AdbW1tSoUYOaNWsyatQoJk2aVOKA29nZmTFjxuDn58fQoUNxcXExfdlZyvjx44mIiCA8PJwOHTpw+vRpxQkkODiYt956i8DAQHx9fRkyZAgZGRkl+sLdtWsXDg4OvPHGG/j5+dGxY0fGjBmj2D+vv/469erVM92YFBUVVSrtvJPb7Qej0cjq1asZNmwY4eHh1K5dm4kTJ2Jtba04ofbq1Qs/Pz/q1q0LFLw/3n77bfz9/enRowcBAQGcOnUKgFWrVvHUU0/RtWtX/Pz8GDVqFAEBAabesvLIYDAwYcIEfHx86NWrFzk5Obz44ovUq1ePvn374uTkRGxsLBkZGWzbto3x48fTrFkz6tWrx+TJk4mPj7doL+6d3Om9/+233/LKK6/QvHlz/P39mTBhAmq1WnGFZ8CAAYSEhNCwYUP69u1rOr53smLFCrp3706XLl2oVasWffv2pX379qxateqBtxPu73Pu5eVF48aN2bNnDwApKSkcO3aM9u3bEx8fz759+4iMjCQgIICgoCAiIyPZu3cviYmJijpcunQJlUqFl5cXXl5ePPfcc0yfPh0bGxtycnJ47rnnGDZsGDVr1qRJkyY88cQTZdIBMWPGDCIiIhR/N1+1S0tL49VXX6VDhw4MGzbM7PkajQZ7e3usra1xd3cvtXqW5Lycl5fH+PHjqVOnDu+88w4AderUwcPDg6NHjwJw9OhRWrZsabo6e+jQIUJCQlCr1dStW5eJEyfSqFEjatasyXPPPYderycuLq7E9Zw4cSL169cnPDycAQMGmILLNWvW0Lp1awYOHIifnx+DBg3iiSee4NtvvzU9t0WLFrRv3546deoQFhaGo6Mjw4cPp3bt2vTo0YPY2Nj72oeF4uLiOHz4MO+++y6BgYE8/vjjiiusd3p/hoaGmgLuwv0ZFRVFTk4OiYmJXLx4kebNm6PX6xk3bhy9e/fG29ub0NBQQkJCyrSjzZLkpskS2LlzJ1ZWVjz++ONAwS/f6tWrs2XLFtOHvWHDhqb1HR0d8fX1JTY2lrCwMMW2+vbty86dOzlx4gRxcXGcPn0auBG8lgeFAXVKSgqenp5mywuDzebNm7Nz50769OlDw4YNCQsLo0ePHiVuh5eXlyJ/zNHR0eJ3dL/11ls0btwYgMzMTLZv384LL7zAkiVL8PPzo0uXLvz8889s3LiRuLg40w+CkvyoiImJITAwUNHGwpN84ZdTrVq1TMucnJxK1HNeGm63H5ycnMjIyODRRx81rW9tbU1QUJDiC9/Ly0uxTTc3N5ycnEyPbz6+sbGxPP/884r1GzVqRExMzINu2gPj6uqKo6MjAHZ2doCyzba2tmi1Wi5cuGB2hcjV1RU/Pz9iY2Np1aqVZSt+C7c75tWrVycpKYn33nsPK6sb/TL5+fmKtJKb37938/mNiYnh/PnzihQrnU6n+B59kO73c96xY0dWr17Niy++yJ49ewgKCqJmzZr88ssvGI1GevToYfaacXFxis9+ixYtaNKkCUOGDKFu3bqEhYXRs2dPNBoNGo2Gbt26sXLlSs6ePUtMTAxRUVGKz5ylDBs2jLZt2yrKbn4PLFq0CK1WS40aNSxdNYWSnJfXrl2LVqulX79+imPx2GOPceTIEZo1a0ZcXBwvv/wy06ZNA1Dc7Nm6dWsOHTrEZ599pjhfl7RTydbWlnr16pkeN2jQgOXLlwMF34E9e/ZUrN+4cWM2bNhgelyzZk3T/3Z2dop9rtFo0Gq1JarHnZw7dw5HR0f8/PxMZY0aNTL97+7uftv3Z2hoKGvXrsVgMHDkyBHatWvH+fPn+fvvv0lMTKRx48Y4OTnh5OSEra0tixcvJjo62vRXeLXoYVc+IrxybufOneh0Otq3b28qMxgM/Prrr6SlpQGgUqkUzzEYDGY3ShoMBl555RUyMjJo3749YWFhaLVa3nzzzVJvw91o2LAharWaf//9t9iA+9SpU7i5uVG/fn2WLVvGH3/8wYEDB9iwYQNr165l6dKlZvsDMLucXtyNpJbu6a9evTo+Pj6mxw0bNuS3335j06ZNvPrqq0RGRnL8+HG6dOlCnz59cHd354UXXrjl9m4OOEryw+PmExlYvv2FbrcfigbGhQwGg+KYFgahhW53fIuuW7i9kp7IykJxx7O49/mtbi7T6/XlKqXkdsd86NChAEydOpXatWsrnnfzla9b3Qx+p8+/Xq9n8ODBdO/eXbHOnW7Mu1f3+zkvzEk9f/48e/bsMY3iodfrsbe3NwVRN3N3d1f0+Gs0Gr744guOHTvGr7/+yk8//cSaNWtYsGABrq6uPPvss9SvX5/Q0FB69erFgQMHFJflLcXNzU2xr4oKCQmhVatWzJkzh/bt21O9enUL1u6GkpyX69aty9ChQ3n77bfp3r07gYGBQEGAuGTJEo4ePUpQUBBNmzYlJSWF6OhoTp48yQcffADA/Pnz2bBhA927d6dz58688cYbZkHy7RQXFxR+jxT3Xtfr9YrvwKI3NBY9X5RESkoKWVlZimC66HaLu3Hy5nNRUlLSbd+fjz76KAaDgaioKI4ePcqrr75KcHAwJ06cIDY2lhYtWgAFqWSFeeDBwcEMGjSI77777q7bVFFJSskdXLhwgX///ZexY8eyfPly09/MmTPR6XTs2LEDQJHfl5mZyYULF/D391dsKyYmhqNHjzJnzhyef/55WrVqRUpKiiWbUyJubm60bduWRYsWmfVYZWVlsXLlSrp3787BgwfZsGEDLVq0YMKECaxZs4br169z7Ngx05fKzTm+CQkJFm3HvTIajeh0OrKystixYwdTpkxhxIgRtGnTxpRuU/hlZGNjo2jjpUuXTP/7+voSFRWl+AKdMmUKX331lYVacn8K94OTkxPu7u6cPHnStEyn03H69GnFl/jd8PPzU2wP4OTJk/e8vfLEx8cHtVqtyMVMS0vj4sWL5b59hcfc2dmZqlWrkpycjI+PDz4+Pnh7ezNv3rwS5Vnf6fPv5+fHpUuXTNv28fFh27Zt7Nu374G36Vbu5nPu5uZGSEgI27Zt4+TJk6YeYD8/P3JycjAYDKZ2AHz22WdmN06eOHGCxYsX07RpU0aPHs3q1aupWrUqv/32G/v27cPR0ZHPPvuMAQMG0LRpUxISEspVqmGh8PBwevXqha+vL59//nmx6xT3g+tBKul5OTQ0lNatWxMWFsbHH39s2p+FaQw///wzwcHBaDQaGjRowOLFi/H39zf9iFi/fj3jx49n9OjRdOjQgZycHKDkHSN5eXmmG4mh4L6WwrjA399f8R0B8Pfff+Pr63tf+6ao5cuXK25gzMrKws3NTbFO7dq1yc7OVly9KuzNB+74/rS2tqZZs2asW7cOW1tbatasSXBwMEePHuXw4cO0bNkSgG3bttG4cWM++OADnnzySRo2bMjFixfL5fu8NEjAfQc7d+7E2dmZPn36ULduXdPf448/TuPGjdmyZQtQkK+7YcMGoqOjmTJlCrVq1VLc4QsFKQNWVlbs2rWLy5cvs2fPHhYsWABQZqkEt/Laa6+Rk5PD6NGjOXLkCFeuXOG3335jxIgReHp6Mnz4cIxGI7Nnz2bPnj1cunSJHTt2kJeXR2BgIHXq1MHOzo6FCxeSkJDAihUrLHJD1N3KyMggOTmZ5ORkEhIS+PLLL4mPj6ddu3amXMR9+/Zx6dIlDh48yPTp0wFMl/IaNmzIypUruXDhAr/88oviLvlOnTpx/fp1041UO3bsMN3kU97cbj8ADB48mEWLFrF//35iY2OZNm0aubm593wpcPDgwaxdu5YtW7YQFxfHF198wdmzZ++q96i8sre3p0+fPnz66af8+eefnDt3jsjISDw8PMrVsb/TMR84cCBfffUV+/bt4+LFi3zyySccPnzYrMe7OHf6/A8cOJA9e/awcuVKLl68yLp161iyZIniErql2lqSzzkUpJWsWrWK4OBgU25y7dq1adGiBZMmTeLkyZOmm0FTU1PN8pc1Gg2LFi1i/fr1XLp0if3795OUlERQUBCurq5cvXqVQ4cOkZCQwNKlS9m7d2+ZnBeys7NN++rmv5t/QFhZWTF+/Hh27dpV7KRuDg4Opn1dGkp6Xi40ZswYzp49y48//ggUpE0GBQWxbds2goODAWjatCm7du1SfEZdXV359ddfSUhI4Pjx40RGRgIlP19bWVnx/vvvc+bMGfbs2cPq1atNY4UPGjSIvXv38t1333HhwgW+++479u3bx1NPPXWfe0epadOmHD16lEOHDvHPP/+wfv16s9jEz8+P0NBQpk6dytmzZzl8+LApNgFK9P4MDQ1ly5Ytiv35559/olarCQgIMG2n8CrChQsX+Oyzzzh16tQDS40p7ySl5A527txJx44di70E3rdvXyZNmoSrqysDBgzgxx9/5NNPP6VRo0ZMnz7d7PKPp6cnb775Jl9//TXz58/Hz8+P8ePHmz6QTZs2tVSz7sjd3Z2vv/6aJUuW8P7775OamoqnpycdO3bk6aefRqPREBYWxksvvcTs2bNJTk6mVq1afPDBB6ZevIkTJzJv3jw2bdpE69at6d+/f7kb5qrwRhooSHMICAjgo48+MuV7vv/++3z++eesWbMGb29vhg4dysKFCzlz5gx169ZlwoQJTJ06lYEDB9KgQQNGjBjBwoULgYIfWLNmzWLmzJls2LABT09P/ve//9G4ceNyNwTenfbDwIEDyc7O5sMPPyQrK4tGjRrx1VdfUa1atXt6vSeeeILk5GQWLFhASkoKgYGBzJkzx3TDZUU3evRooCB3WKfT0bx5c+bNm1fs90hZudMxHzJkCLm5uUyfPp2MjAzq16/P7NmzS5RC4OTkdNvPf6NGjZg8eTKLFi3iiy++wMvLi3fffbfU8tvv93MOBfm806ZNM/uR+f777/Ppp58yevRoVCoVISEhTJgwwawOgYGBTJo0icWLFzNz5kzc3d0ZM2YMISEh6PV6jh49aqpnw4YNGTt2LPPnzyc3N9eik4x9/vnnxfZcF51UpnHjxnTq1IkZM2aYzfLYpk0b1q9fz4ABA0pl5KWSnpebNGkCFORCDx48mLlz5xIREYGrqyuhoaH8+++/pvdA06ZN+fbbbxUB97vvvsvHH3/MgAEDcHd3p1evXlhbW3P27Fmz+7OK4+zsTHh4OC+//DI2NjYMHz6cJ554Aig4xlOmTGHBggXMnTsXPz8/pk2bxmOPPfYgdpFJeHg4gwcPJjIyktzcXNq0acNzzz1HamqqYr333nuPqVOn8sILL5hytgtv4GzXrt0d35+hoaFotVpTwF27dm3c3NwIDQ01XfHo378/Z86cYfTo0djY2NC0aVOGDRvG9u3bH2ibyytVWlpa5ejLF0IIIe7R5cuX6devH1u3br3lCE5CVES5ubmm1I/CdLDdu3czZ86ccjFU7cNCeriFEEKIW8jJyeG3337jxx9/pE2bNhJsi4eOra0tU6ZMoU+fPvTo0YOUlBQWLVpkNlqNuD/Swy2EEELcQm5uLl27dqVGjRrMmjULDw+Psq6SEA/csWPHmD17NlFRUTg6OtK5c2dGjhxZaiMHVUYScAshhBBCCFGKZJQSIYQQQgghSpEE3EIIIYQQQpQiCbiFEEIIIYQoRRJwCyGEEEIIUYok4BZCCCGEEKIU/R8Iq2WQfTtG2wAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#2-axis plotting to establish relationship between overal CCVI index and Acute IHR Index.\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Acute IHR'])\n", - "ax1.set_ylabel('Acute IHR')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'y-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='y')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('y')" - ] - }, - { - "cell_type": "markdown", - "id": "ceca7d9a", - "metadata": {}, - "source": [ - "Inverse correlation between Overall CCVI index and Acute IHR were observed in all top 10 states. Abia, Osun, Imo and Ekiti states had lower Overall CCVI index with relatively higher Acute IHR. Abia had the highest Acute IHR index and Jigawa the lowest. Borno and Jigawa had the highest Overall CCVI index. Bauchi, Borno, Benue and Jigawa Sates have the higher Overall CCVI index with correspondingly lower Acute IHR index. Borno and Jigawa had the highest Overall CCVI index. Thses observation suggests that the impact of covid crisis cannot be traced to Acute IHR alone. " - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "id": "e2b86b77", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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gzRoh3n5bBoOBKwg/+USL777TgucD6k2lAlavFuHbbzWIijKjc2cjPvhAh+XL7ce9kyezxuIPP9ShShUzPvpIB4mEtcuGUpz4wC0hiKJjMADz5onRtWs9TJwoxYMHOb86rVsbsXWrCocOZaJXLwMEhXyXTWYWU8+k4X9HlTDYxCz2riLFzo4hCJPlnsvaFTQLFcG6+OKtNCOat9WhXDlLgzUaBmvWkJWaIAiioCxaJML778tgNnPF9LffavDZZ7oCZYLyBq5e5UOnA6fiY4sWRpw/z4fRJjwnOJhFejqDbdsEYFlg504BMjMZ1KnjunRTJKgJogDExEjw5ZcSKJX2S00Mw6J7dwMOHszE9u0qvPZawVLf5UamwYxB/6Rg4dVMu+8+a+iHFa2DIBWUfI/qL+KhXjD373E2RY8RI/ScbcuWUQo9giCI/GBZYMYMMaZM4S5p8vksfvxRjTFj9Lkc6Z08f84gKIiFxKqkQmgoC72eQVISdwxs2dKEUaN0ePttGUqX9segQXLMnatBZKTr8nIzSqXSaxIXxsbGlnQTCC/EbAbat2+AtDSueBQKzejSJRmDBj1HxYq6XI72PZRKATp3rg+93jJfnz37Dl59VVlyjSIIgnBjzGZg1qyK2Lw5lLNdKDTjm2/ueX3/WaNGDbttGzYI8eWXEty4YQl4j4tjEBXlj0uX0lGpkkW+ZmYCI0bIUL++CV26GPDvvwLMmiXBtm0qNG3qGouOV6XNy+mGFBexsbEu/T13wteu/eJFHkdMi8Usxo7V4d139QgLEwGo6JTfOZOgx4ADyUjUcmfU4VIefmtbCo1CStZ1Iqf7vj1Og6EHU7I/NywtxMGuoejb18iplrhjR2WMGmWfO9uT8LXn3hq6dt+8dsC3r99V124wAGPHSrF5M7ePVyhYrFunRuvWIQBCir0d1rjDfZdIWOhsbFUvah3IZNztCxeKodMBX3yRdUCDBnrcuMHHnDli/P672hXNJZcPgsiPf//lzjvbtTNi2jQdwsKct7iz6a4aXfYk2onp+sFCHOgaWuJiOjdsC7xcTjYg02DG6NHcXvDIEQGuXaPuhiAIwhq1Ghg0SIZNm7h9aVCQGdu3q9C6te/6y5Upw0KpZKC38nSJj2cgFrMICuKOvxcu8FGrFnf8jIoyIS7OdeMOjXAEkQ8HD3JdPV57zXnFSswsi6/Op2PU4dTsIikv6FpJgt2dSqOcvGSDD/MiVMpHdX/LhMPEZlna69c3o2VL2xR6YtvDCYIgfJa0NKB3bzn27uWOMWXKmLF7twqNG/uumAaAevVMEImAU6csY+DJkwJERZnsAv7Dw1lcu8YdK2/f5qFyZdf5UJOgJog80Ggs6Xhe4CxBrTaa8fa/KZhzKcPuu4/qK7DqtWDIhe7/itpaqY/HZ5kTbFPobdwoREpKyQdTEgRBlDSJiQy6dlXgxAmuMqxSxYQ9ezJRs6brhKC7IpMB/fvr8fHHUpw7x8euXQIsXizGO+9kjTHx8Qw0mqx9hw3T49gxPhYsECEujsHq1UKsWyfC2LGui29y/9GaIEqQkycF2T5bAFC2bFaOy6LyVGVCp11J2B6n5WwX8YClrYIwpXEAeB6SG8lWUJ+Iz+rAOnc2onx52xR6PlCJgCAIIg8ePWLQsaMcly9zjTV16piwZ4+KE2zn63z9tRYNG5rQrZscEyZIMXGiFr16GQAAkZH+2LIla0xp3NiE9evV2LJFhJde8sOSJWIsW6Z2qcuMVwUlEoSzOXiQ+4o0bZoOhimaP/PFJD36H0jGMzVXmJeW8LCuTTCah3mWa0TLcG57zybqoTexEAkYjBypQ0yMJQXU8uVivPeevtD5uQmCIDyZ2FgeevaU4/Fjrj2zeXMjfv9dVahqut6MTAYsWaLBkiUau++UyjTO5/btjWjf3j7drKsgCzVB5IGtoG7ePL1I59sep0HHXUl2Yrp2oAD/dA3xODENAJUUfJSRWboSrQm4mJy1JDdkiAESicXa8vgxD7t2kZomCML3uHiRhw4d7MV027YGbNlCYtrTIUFNELmQmMjgyhXLkhzDsGja1N7fuSCwLIvZF9Mx9GAKNCbuct4bFSTY2yUEFRWeKTQZhsmxDDmQVb2qb18D57ulSz1v0kAQBFEUjh3jo2tXBZKTubKrRw891q9XQy4voYYRToMENUHkwuHDXIFbv74ZgYGOByRqjSxGH07F1xfsxfj/6ijwW5tg+HlA8GFetLQNTHxuCQSxTaF37JgAV6549vUSBEEUlL17BejdW46MDG5czNChevz8swYi98yKSjgIjWoEkQu27h6vvWbIZc/ciVeb0GVPIjbd4/p/CRhg4UuB+KpZAPg8zwg+zAtbC/XJBD3MbJYlvm5dM15+mVLoEQThe2zaJMTAgTJotdx+ftw4HebP14DvvllRCQchQU0QOcCy9gVdHE2XdyXFgLY7E3E2kSvEg8QMtnUojSER3rPGVytIgECRZcBI07O4nmr5e9mm0Nu0SYjkZM+fSBAEQeTGihUijB4thdHI7etiYjT48kstPCSRE1FASFATRA7cucPjBI5IJCyaNy94+p1dDzXo8FciHqu4x0QECHCgSyheDvcuCy2PYewCKl+kzwOAjh2NqFDBEoip1TJYvZrWOQmC8D5YFpg9W4yPP5aCZS2qmWFYzJunwfjx+jyOJjwVEtQEkQO21unoaCMkkvyPY1kWC69kYOCBFKiM3ODDNmXF+LtzCKr6e2bwYX7Y+lG/CEwEAIEAGDWKa6VesUIEo/OKThIEQZQ4LAtMnizB119zBwyBgMXPP2vw9tskpr0VEtQEkQP2/tP5Kz+9icX/jikx9Ww6bNPyj6olx8Z2pRAo9t5XLqcCLyxr+UsMHmyAVGr5/OQJD3/95Z2TC4IgfA+jEfjf/6T44Qfuap1UymL9enV2QRLCO/He0Z0gConRCBw9yhV6r76at6BO1prQfW8S1sWqOdv5DDCnRQBmtwiEwAuCD/MiqpQIUr7lGp+pzXiQaXF5CQpi0a8f1zqzZIl3ub4QBOGb6HTA22/LsG4d17Dg789iyxYV2rWj5ThvhwQ1Qdhw7hwf6ekWYVi6tBl16+Zebvym0oA2fyZyXBwAwF/E4I92pTCylqLY2upOiPgMGodwS4tbp88DgNGjuX+jEycEuHSJuiGCIDyXzEygb185/vyT2/+FhJixc2cmoqNdV/6aKDloJCMIG2z9p1u3NoKXy5uy/7EW7XcmciyxAFDVj4/9nUPwWrkCOF57EbkVeHlB7dpmtGpFKfQIgvAOUlMZ9Oghx6FD3HGjfHkzdu9WoX793I0xhHdBgpogbLAV1Dm5e7AsiyXXM9F3fzLSDVyP6ZfDRdjfJQQRgUK747ydvAITX2CbQu+PP4RISvJudxiCILyPZ88YdOokx9mz3DEjIsKEvXszUb06iWlfwuWCWq/X45tvvkHbtm3RoUMHrF69Otd9L1y4gCFDhqBVq1YYOHAgTp486cKWEr5IRgZw5gw3075tQKLBzOKjE2n49FQazDbRh0MjZNjSvjSCJb6Zrb9pqAhWbtS4k25EvJprve/QwYiKFS0DjU7HYNUqSqFHEITncP8+Dx06KHDjBrevj4oyYvduFcqVsw1NJ7wdlwvqhQsX4vLly1i8eDE+++wz/Prrr/j777/t9ktJScFHH32Etm3b4rfffsPrr7+OiRMn4tmzZ65uMuFDHD0q4CThr1HDhPLlLR1juhF48+9k/HJLxTmOxwDfNAvA/JaBEPF919qqEPLQoBTXMn8ygWul5vPtU+j9/LMIBgqAJwjCA7h2jYcOHeR48IAroV56yYgdO1QoVYrEtC/iUkGt0Wiwfft2TJgwAbVq1ULr1q0xaNAgbNq0yW7fS5cuAQCGDh2K8uXL4+2334ZYLMbVq1dd2WTCx8jL3eNOmgFvX5Lg0DOuGPQTMljfthTG1lGAodJXdn7UtoGJADB4sB4ymWXQefqUh507fc9FhiAIz+LMGT46d5YjPp4rnzp0MOCPP1Tw9y+hhhEljksFdWxsLPR6PRo0aJC9LSoqCtevX4fRpsJDQEAAMjMzsX//frAsi3///RdqtRrVq1d3ZZMJHyM3QX0hSY/XdybioYb7ylRU8LG3cwjeqOBbwYd5YZ+P2t6POjAQeOst7valS8ntgyAI9+XgQQG6d5dDqeSOA3376rFmjRpSaQk1jHALXCqok5KS4O/vD7HYYsEKDg6GwWCAUqnk7NuwYUP06dMHX3zxBVq2bIlJkybhk08+QZUqVVzZZMKHePKEwa1bFn84Pp/Fyy8boTOxGPFvCpR67jJei1ARDnQJQe0gsqxaYyuor6YakK63D86xTaF38qQAFy9SnDRBEO7H9u0C9O0rg1rNXYUcPVqHJUs0ENIw4PO4tEyZVquFSMQdbF981uu5g6tGo8HTp08xfPhwvPrqqzh16hS+//57VK1aFfXq1cvx/LGxscXT8Fxw9e+5E9547X/+WQqAZb2uTh0VEhJi8es5Ae5lcJ/bzqFGfF5dDeVjJZSubWaJUtD7XkUqwf3/rPlmFth68T5aBnFFNZ8PNGsWgdOnLX/z2bN1iImJc1p7nY03PvcFha7dd/Hl64+NjcWOHaXw9deVYTZzxfSoUU8xcuRT3L1bQo0rZlx532vUqOGy3youXCqoRSKRnXB+8Vki4S6Zr127FgaDAe+88w4AIDIyEvfu3cMvv/yCefPm5Xh+V96Q2NhYr3gACoO3XvvNm9z1ug4dBJCUqYJfTyQAVsXEB9WQYdFLgT7nL+3IfW+dkIr7ty1VIx/yS2NojQC7/T78kI/+/S2f9+0rhfnzRQgJcb+gHm997gsCXbtvXjvg29cfGxuLPXvqYMYMe1+Ob7/VYMwYOQDv/Nv48n0vLC5dXw0NDUVGRgYMVuH8ycnJEIlE8Lfx5L9+/TqqVq3K2VarVi08ffrUJW0lfAuWtfeffu01IyafSYPGZBF3AQIWM5oG+JyYdpTocJvAxBz8qAGgfXsjKle2pNXT6xmsXEm+1ARBlCwsC/z4YzlMmcIV03w+ix9/VGPMmJz7NMJ3camgjoiIgFAoxOXLl7O3Xbp0CTVr1oRAwBUzpUuXxp07dzjb7t+/j3LlyrmkrYRvce0aDwkJltdBoWChKqvC9jgtZ7/3KusRJCY/3/yw9aM+n6SHzmRvdc5KoccdmCiFHkEQJYnZDHz8sQS//lqGs10kYrFqlRoDBlAHRdjjUmUgkUjQqVMnzJo1C9euXcPhw4exdu1a9OvXD0BW0KJWmyVgevbsiQsXLmD16tV48uQJtm/fjp07d6K/9fowQTgJW+t0y5eM+OxcGmdbo9JCdA/jFikhcqaiQoDyckuAp86UJapzYuBAPeRyi9h+/pyHHTsowocgiJJh3Dgpfv6Zu8qmULDYtEmFLl3sK+cSBFAChV0+/PBD1KpVC2PHjsXMmTMxcuRItGvXDgDQqVMn7N+/HwBQp04dzJkzB/v378eAAQOwYcMGTJ8+HU2bNnV1kwkfwFZQ82uqEJtm6TgZALNbBIJHnh4FxrYM+fHnOQvqwECgf39KoUcQRMlz8KAAa9Zw+5+gIDO2b1ehdWsyqBC549KgRCDLSh0TE4OYmBi7706fPs35/NJLL+Gll15yUcsIX0WnA44d474K/yqSOZ8HR8jQOESEWKULG+bhRIeJsfGeJvvziXgdAL8c9x01So8VKywWodOnBTh/no9GjWgAIwjCNZjNQEwMN0FCmTJmbN2qQs2a9qk/CcIacgYlfJ5Tp/jQaCymZ2kpIzSlLNX9AkUMpjWm8leOEh3OtfKcTtDDZM45e0dkpBlt2nD9EslKTRCEK9m6VYhLl/icbevWqUlMEwWCBDXh8xw6xLVOa6pmZvl4/MeUxv4oJeGDcIzIAAGCrQI40w0srqbmHszzzjtct48tW4SIjycfG4Igih+9HvjqK67f9Ouvp9AqGVFgSFATPs/BgzaeT5GZ2f+tHyzEsAi5i1vkHTAMgxYFKEP+gnbtjKhSxTJ4GQyUQo8gCNewapUI9+9bDCcCAYsxY56UYIuI4mbJktzHl+RkBoMGyRw6HwlqwqdJTWVw4YKN9TlClf3fOdEB4FMkYqGxTZ+X5UedMzyefTnyX34RQU/pXgmCKEYyM4FZs7jW6SFD9KhYMff+ivB8PvtMgj59ZEhK4o7xf/4pQPPmCntjWz6QoCZ8msOH+WBZq5eprBbwy7KSDqguQ7NQcS5HEgWhZRj373ciXg+Wzb0K4oABeigUlu/j43nYvp1S6BEEUXz88IMYiYkWOSSTsZg0icS0t7NmjRoXL/IRHa3A3r0CpKcDo0dLMWSIDLVrm3HsWIZD5yNBTfg0tunyXlin/UUMYppQIGJRqV9KCJnAMmFJ0JhxLz13n8SAAEqhRxCE60hKYrBoEXfiP3asDuHhuU/8Ce+gSxcjjh/PRPPmJvTvL0NUlB/27xdg4UINduxQoXJlx54BEtSET2O3pBOR5T/9eUN/hEopELGoCHkMmobY5KPOw+0DsHf7OHtWgLNn6V4QBOF8Zs8WIzPTMukPDjbj/ffJOu0r+PmxiIgwgWEApZKBQgFUrFi4rC4kqAmfJS6OQVyclVDjm4FqatQJEmBkTQpEdBb2ftR5O0XXqGHG669zs4EsW0ZWaoIgnEtcHINffuH2LR99pENAQAk1iHAphw5luXssXizGxIk6nD+fgapVTejZU47//U8KpdKx85GgJnyWgwdtfHOraAARi9ktAiGgQESn0TKcu5yan4UasE+ht3WrEM+f0z0hCMJ5fPONBAaDpV+pUMGMkSMpCtpX6NFDDrEY+PvvTHz6qQ6VK7PYtk2NmTO12LpViOjonAuR5QYJasJn2XvAPrtH32pSOwFIFI0mIUIIrXqauAwTnqnzzu3atq0R1apxU+j9+itZqQmCcA6XL/OwaRPXqPL551qIqfv3Gd57T49DhzIRFcV18Rg9Wo8jRzJRqZJjrh8kqAmfxGQC/vmXK6hldVSY3oTW+pyNTMBDVCnuwHXied5W6pxS6P36qwg6cm0kCMIJTJ8u4WR4ql3bhL59cy88RXgfX32V+wSqalUzdu9W5fxlLpCgJnyS3w6aoM+0EtQyEz7tIkS4jILfioPoHNLn5Uf//nr4+VmirBMSeNi2jVLoEQRRNA4f5mP/fm5fMm2aFnzq/n2Op08ZTJggQVSUAuHh/rh4kYfJkyX44w8hGAe9DElQEz6Hyczi6w3cpRy/2mqMqacooRZ5P7aBiQXxo/b3z8pLbc2SJSLkkcaaIAgiT1gW+PJLCWdby5ZGtG9vLKEWESXFnTs8vPKKAjt2CNGkiSm7iFhiIoPRo6XYsYMKuxBEnqy8rcLzi1LOtsFdWAgpELHYaGFjob6eaoRSl79/mq3bx4ULlEKPIIjCs2OHAOfOcYXSl19qHbZGEp7PF19IUK4ciwsXMrBkiSbbWLN0qQZduxqxcKFjDvUkqAmfIllrwvQTGcB9rqAe3aNk2uMrBIl5qB1oGcRYAKcS8nf7qFbNjPbtuX6NVOiFIIjCYDQCM2ZwrdNduhjQtGneQdKEd3LsmAAffqiDnx/sJlSDB+tx65ZjxhsS1IRPMf1cOtJuSAGT5dGvUMnkcEUkwnGiw239qAsWYWibQm/bNiGePSNzEkEQjrF2rRB37lhEEo/HYsoUbQm2iChJeDyAYXIe+1Uqe5Gd7/mc0CaC8AjOJ+qx+rYauM31lW77GvnOuQJHC7y84LXXjKhRw2JBMhrtizEQBEHkhVoNzJzJtU4PGmRAZGThquIRnk90tBFz50qQlmbZxjBZWcBWrBCjZUvHtAEJasInMLMsPj6pBAsAt7lVEF8jQe0SbDN9nE/SQ2PMf2WAUuiVHGqjGevvqLErgV+ge0UQ7sqSJWI8f26RPBIJi08/Jeu0LUqdGQ8zfWNMnD5di4cPeWjc2A8jRkjBMMCCBWK88ooCFy/yMXmyY88HCWrCJ1hzW43zSQYggw88tVgpGIZFq1bkP+cKysn5qKSwLLcazMDZxIJZqd96Sw9/f4ugS0riYcsWSqFX3PzvqBJjjqRi2m0xxh1PLenmEEShSElhMH8+d0L/7rs6lC1Lk8QXXErW4/2jqaj1+3NMOZOW/wFeQGSkGf/+m4k2bYw4eVIAPh84fFiAiAgT/v47E3XrUmEXguCQqjPjy3PpWR9srNMNG5oQFESdqquwd/somJnZzw8YOJArvpcupRR6xcn9dCO23Ndkf954V4PYNCp8QXge338vRnq6xSE2IIDF+PG0xKUzsdh4V432OxPRekci1sSqoTGx2PlAiwSdb8SpVKlixrJlGty8mYHExHTcuZOBlSs1qFXLcVcgx5LsEYQH8tX5dKS8SNF2i+s//eqrvrG05S60DBdjw12LSCuoHzUAjBql/y8PdVZHf/GiAKdP89G8Oa0wFAdb4zR221bdUuOrZlRNlPAcHj1isHw5dyL/0UdaBAaWTHvcgceZRqy8pcaq2yokau2Fo4kFtj4X4KW6JdC4YiYuzrGJgiMJC0hQE17NxSQ9frn5X/lQFnYWahLUrsXWQn0mQQ+jmYWgADnAq1Y1o317I/butbh6LF0qQvPm9sKPKDrW1ukXrL+jxpTG/hDzfcN6RXg+334rgc7K2lqunBmjRhV8Iu8tsCyLw8/0WHEzE7seamHKQyeWl/NRSuSdf6OGDf0cyt6RkpJe4H1JUBNei5llMfFFICIAJIiANIsYk8lYsm66mOr+AoRIeNlWkUwjiyspBjQsXbCsHe++q+cI6h07hHj6VEu+kE7mttKAqyn27h3JOjP+eqBBr6qyEmgVQTjG9es8bNjAjbX49FMtpNJcDvBC0vVmbLijxs83VbiVlrcB6dWyYoysKUeHChLcv3vHRS10LT/8YDEUpKczmDZNguhoI95804AyZVgkJzPYuVOIAwcE+PZbx4w15ENNeC2/3VHjTKKVKLBx92jZ0gixY4WQiCLCMAxa2JUhL7gl5NVXjYiMpBR6xU1O1ukXrLytdmFLCKLwTJ8ugdlsMUdGRprQv79vxAHcVBrw8Qklav/+HJNOpeUqpv2FDEbXkuN0z1Bse6M0ulSSFmjF0FXodMC4cVJUquSPiAg/LFiQe39/+zYPXbvKUaaMPxo3VmD7dnub8YABhux/p0/z0aOHAdu2qTFokAFt2xrRt68Bq1er0a+fHjt2OBb4ToKa8EqUOjNiznKXakIf+XE+t25N7h4lgW36vBPPCx4cxDD2KfRWrhRBS9mvnAbLsnkK6sPPdLibj6WLIEqaEyf42LOHK4imTtVC4MXr8kYzi+1xGnTZnYgWWxOw4qYKmbmku6wdKMD30YG43i8cs1oEIiLQPbMmTZkiwenTfGzfnol58zSYM0eCzZvt25qZCfToIUfZsmYcPZqJUaP0GDlShps3c5e5e/cK8eabOU+wOnY04vhxxx4WEtSEV/LNhXQkWQVbiAGobnLX+Sj/dMnQ0sZCfTJBD9aBdB39+lEKveLkWqoRt60Es4ABqsu4gUurb6tc3SyCKDAsC8TEcIu4NG9uRKdO3tnnx6tNmHUxHfU3PcfQgyk4+jznVT8+A/SoLMXOjqVxrEcohteUQyF0XxmoUgGrV4vw7bcaREWZ0bmzER98oLMLMgWADRtEEAiAxYs1qFbNjHff1aNNGyNOn869fHhAAIsbN3K+/rNn+ShVyjFXQvf9SxJEIbmSYsCKm9wB/01+KagyLY97aKgZdepQhaySoG6wEAqBZUkxSWtGrAMWT4UCGDSIO2AsWSKmFHpOYut9rktHm3JiDCjHteKsu6OGPq+oJoIoQXbvFuDUKa51cdo0rcOlpN0ZlmVxMl6HkYdSUHfTc3xzIQNP1TmPaWFSHj6J8sPVvuFY+VowXg4Xg/GAP8bVq3zodECLFhY3vxYtjDh/ng+jzZBx+LAAHTsaILSyrfz+uxpDhuTu4tOnjwEzZ0qwZIkIjx4x0GiysoB8/70Y8+eLMWyYY4GZJKgJr4JlWUw6qYTZaqyvpOAj7CE31derrxq9qnP1JAQ8Bs1CC1eG/AWjRunBMJabfPkyH6dO5W6JIApGTu4ePavI0K60Cf4i7iRo9yPysyHcD5Mpy3famjfeMKBlS+8IQFcZzFh1S4VXdiSiw64k/HFPA0MutqHoMBF+aR2EK33C8VlDf5SReVYf+fw5g6AgFhKr2xkaykKvZ5CUxB3A79/nISSExUcfSRAZ6YdWrRTYsydvl43Jk7Xo2NGAzz6ToEEDP5Qr549Gjfzw1VdiDBmix0cfOZarnFEqlV5jZoiNjS3pJhBuyogRNXH5siUocerU++jaNbkEW0QUlQkTquPIkcDsz6+/noJvv71Xcg0iCKLE2bGjFGbMqJL9mWFY/PbbNVSvThNAd6ZGjRp22zZsEOLLLyW4cSMje1tcHIOoKH9cupSOSpUs8rVhQwWSk3kYOVKH7t0NOHhQgBkzJDhwIBNRUXmvRt++zcOxYwKkpjIoXdqM1q2NnHMXFK9yz8/phhQXsbGxLv09d8Jdrz1db0bTLfGI11henjfKi7GsWWlcu8bNP/3WW6VQtmyww7/hrtfuCpx57cee69B5d1L25woKPq70CXfoHB99xMeRI5bPBw8GQSaLQLlyxWMj8IV7P+VMGhZdzcz+3LmiBOvalkJsbCy0pSrjle0JnP0vvhmGyn5eNYzY4Qv3PS886fo1GuCXX7jB52+9ZUDHjhUKdb6SvnaTmcW+J1osv6HCgSd5W0ur+fMxsqYC/avLECguuvNBSV87AEgkLHQ2l/0ip7jMJnOnQADUqWPC1KlZBzRooMeJEwKsXCnC/Pl5T6YiIsyIiCh63m3v7gkJn2LmxXSOmBbxgG+bB+LoEQFMJm7qJMpbXLI0Li2CiAfo/7tdjzJNeJxpRHlFwbuk1q1NiIw04datrGVMkykrhd6UKVRSuDCwLIutNu4evapYAnnrBQvRJESIs1apKFffVmFqY6qcSLgHK1aI8OSJRUyKxSw+/9zzLNMpWhPWxGbljn6YmburCo8B3igvwahacrxaVgyel/kxlinDQqlkoNcDov+8BOPjGYjFLIKCuGN4eDiLKlW4lujq1c24dSv3yQXLAmvWCLF7txBqNQOzjSGbYYAdOwoegE0+1IRXcD3VgKXXuQ/+B/X8UNVfgH//5Yo0qo5Y8kgEDBqVLpofNcMA77zDPebXX0XQUOHEQnEmUY/HKsvgLeUzeKMC1xd1SAR3pWdtrBoGM01OiZJHqQTmzuWm5Bw5Uo8KFTzn+byQpMfYI6motfE5pp1Nz1VMB4t5GF9PgQu9w7D+9VJoU07idWIaAOrVM0EkAic+5uRJAaKiTHbpD5s1M+LSJa6P+K1bPFSsmLu7x1dfiTFunBRXrvCh1QJGI/efwcGU5WShJjyeF4GI1kkHKij4mFA/y2eaBLV7Eh0mwskEiyA+Ea9Hn2qOVeDr10+PmBgJ0tOzBpOUFB42bxZi0CDfKN7gTDbf485EOlSQ2KXU6lVFii9OpyHDkPWyJWjM2P1Qi26Vfaj0HOGWLFgghlJpeV79/VmHg8pKAq2RxbY4DZbfyMS5pLz7rcalhRhZS4GelaWQCLxPQNsikwH9++vx8cdS/PijBvHxDBYvFmP+/Ky+Kj6egb8/C6kUGDZMj6VLxZg2TYJhw/TYvTvLmHbgQGau51+3ToThw/WYO9c5qxhkoSY8ni33NXZ5N79pFgCZgIfHjxnExlpmrQIBi5dfJkHtDtgVeIl3fPCTy4EhQ7j3fulSSqHnKKb/CkJY07OKvUhWCHnoY1N2nHJSEyXN06cMfvqJ25+MG6dDcLD7dgQPM4348mwa6mx8jnePpOYqpsV8oH91Gf7pEoIDXUPRv7rMJ8T0C77+WouGDU3o1k2OCROkmDhRi169sv5WkZH+2TUIKlRgsXWrCkeO8NGihQKrVomwerUaDRrkbqFOS2PQrZvzjC9koSY8mgyDGZPPpHG2tSkrRpeKWUvVBw9yH/GmTU3w48asECVEs1ARGAAvhrwbSiNStCYESxxL7TRypA4//CACy2YNMleu8HHiBN9r0mS5ghMJejy3ij9QCBi0Ky/Jcd+hkTL8cssiog880eFBhhGVvDw4kXBfvvtOAq3WIjLDwsx49133s06bWRb/PtVh+Q0V9j7WIi9vqQoKPkbWlGNQDRlKOdgnehMyGbBkiQZLltj78imV3LG/aVMT/vmn4BP8qCgTLl3io3Vr54wV1AMSHs3sixl4ZpXMXsgDZrUIyE5ab+vuQeXG3YdAMQ91goW4mmKxEJxM0KNTRcfcBypXZtGxoxG7dlky+i9dKkbLluo8jiKs2WLj7tGpkgTSXKxgDUqJ0LC0EBf+s6ixANbEqjG5kX9xN5Mg7Lh9m4c1a7iVUj/9VAe5PJcDSgClzoz1d7KCDO+k5z0GtS0nxsiacrQvLwGf5zuW6JLg2281GDRIDj+/rEqaMpn9DKdy5YKvcpCgJjyW20oDfrzG9Y/6Xx0Fqgdkda5mM3DoEPcRp3Lj7kV0mIgjqE/EOy6oAeCdd3QcQb1zpwCPHjEeFZBUUhjNLHY8yD27R04Mi5DjQpIy+/Pa2yp8GuUHAQkAwsXMmCGB2Wx57qpVM9lVUi0prqYYsOJGJjbe00BtzL0v8hcxGFhdhhE15dnjF1H8vP66AmYzMGGCJNdCbykp6QU+HwlqwiNhWRaTTqXBuo8qJ+Pj4wYWf46rV3lISuIGqTRuTG4A7kTLMBGW37As0RXGjxoAWrUyoVYtE27c4KbQmzbN/ZZ93Y0jz3RI0lpWeQJEDNqUzdnd4wW9qmYFJ2b+9wI+15ix95EWnStRcCLhOs6c4ePPP7kCdOpULaf8tKsxmFn8GafB8puqfDMX1QkSYHQtBd6sKoVcSCFtrmbBAo1TKyaToCY8kh0PtPj3KVcsfdXMn9Mp2bp7vPyy0S7VDlGy2AYmXkwyQGUwOzy4ZKXQ02H8eEvA3MqVIkyapIOUNF6e2JYa71JJChE/71HGT8hD76pSrLptcatZdVtFgppwGSwLTJvGnfg1amREt24lswr5TG3CylsqrLyl4tRDsEXAAN0rSzGylhwtQkXZ7omE6xk40LnZoGhKRHgcKoMZX5zmBiO0KiNGD5vUXbYBiZQuz/0Il/FR1c8ScGNkgbOJhVuu7dPHgMBAy0CWmsrDpk20fJoXepO9u0fvfNw9XjAskuukuv+JDo8y6R0jXMO+fQIcP87t42NitE61OOYHy7I49lyHYQdTUG/jc3x3MSNXMV1GxsPnDf1wrW84fn41GNFhYhLTJYDZ7Ng/RyB7HeFxfH85g1OAQsAAs60CEQFAqwVOnCD/aU8gOlyMexkWS+fxeD1a5+NykBNZKfQMWLjQYvVeulSMwYMNLh1kPYmDT3VI01v8pkqJeWhVRpzHERaiSglRP1iIy//5wJvZrEIvnzWk4ESieDGZgJgYbh/Rtq0BrVq5xqUv02DGxrsarLiRievKvMeVl8NFGFVLgU4VJRBSjEGJU6qUf4HHA4YBkpPd2Idar9djzpw5OHDgAIRCIQYMGIAhQ4bkuG9cXBy+++47XL16FaGhoXjvvffQpk0bF7eYcCfuphmx6Co3EHFMHQUiA7mWyFOn+Jw0SuXLm1G9uoPTTcIlRIeJsC7WIqgdrZhozYgROixeLMoOUrp2jY9jx/h4+WXync+JLfe5mVC6VZYUOLCQYRgMi5Rjwgll9ra1t9WY2ICCE4niZdMmIa5f56aSmzat+EuMx6YZsOKGCuvvqJFuyD3IUCFg8NZ/QYa1gmiVzJ2YNElXbAYWlwvqhQsX4vLly1i8eDESEhIQExOD8PBwtG/fnrOfWq3G//73PzRu3Bjr1q3DiRMnMHnyZKxduxZVq1Z1dbMJN4BlWXxySgm9lS4Ol/IwKco+sXRO7h5kpXRPWtr4UZ9N1MNgZgtlzalUiUWnTkbs3MlNoffyy5RCzxatkcWuh1wR0quKY5Uq36wqxeQzadkZDJ6oTdj/RIsOFciXmigedDrg66+51uk+ffSoX794DCZGM4s9j7RYcVNlF7djS0SAACNryvFWdRn8ReRR64589lnxBaq79I5rNBps374dEyZMQK1atdC6dWsMGjQImzZtstt3165d4PP5mDJlCipWrIh+/fqhefPmuHLliiubTLgRfz3UYv8T7sswo2kA/HIIYDt4kGsVIP9p96WKHx9hUss9VBtZXEoufLDIO+9wn5G//hLg4UOaTdmy74k2u4Q4AIRJeWgZJnLoHP4inp3P9cpbNHkhio+ffxbh0SNLfyEUsvjiC+dbp5O0Jvz6SICoP+Ix6J+UXMU0jwG6VJRg+xulcapnKEbXVpCY9lFcetdjY2Oh1+vRoEGD7G1RUVG4fv06jEau4Dl79ixatWoFgVVahnnz5qF79+4uay/hPqiNZnxmE4j4UrgIb1a1t4QlJzO4fJn7aFNBF/eFYRj7MuTPC29FePllE2rXtrh4mM0Mfv65YH7BvsRWm+we3StLC1VIYqhNcOLfj7V4oiIXG8L5pKUBc+Zw3+W339Y7VHwjL1iWxdlEPUYfTkHt35/jxwciTryONaUlPHxc3w+X3wzD2ral0LosBRn6Oi4V1ElJSfD394dYbHkhgoODYTAYoFQqOfs+fvwYQUFB+O6779CxY0cMHjwYR44ccWVzCTdi/pVMPMq0dGx8BpjVPDDHDuzwYUF2GWoAqFfPhJAQKvDhzkTbWEaPF8GPmmFgV3Z41Soh1GQ4zUZlMGPPI1t3j8K5aTQuLUSdIIvhw8wC62ILXv6XIArKokVipKRYZItCwWLixKIv4WuMLNbGqvDan4l4fWciNt7VcFwLrWkWIsKyVkG41jcckxv7o7yCcjsQWTj0JGzcuBEdOnSAv3/hori1Wi1EIu7A+eKzXs8dQNVqNdauXYs333wT8+fPx8mTJzFp0iT88ssvqFWrVo7nj42NLVS7Courf8+dcOW1P9YwmH9JAsAikvuUMUCUHIfYZPv9t22rBMDiCxoVlYjY2MdOaw/dd+dTTscAsAi64880uHU7FoWNbWvYkIeAgPpIS8vq4pRKHhYvTkXPnklFaqe33Pu/E/lQGy2GjTCxGUFpDxGbR0B7XtfeKUiAa6mWvv2X62noJotHPumsPQZvue+FxR2uPylJgMWL63G2DRjwFErlM9jY4wrMEy2Dzc8E2BEvQJox94dVzGPxRogJfcoYUFOhBsxKPLxXuN/0JFx532vUqOGy3youHBLUixYtwqJFi/DKK6+ga9euaNGihUNLHCKRyE44v/gskXCDDPh8PqpVq4axY8cCACIjI3Hx4kVs27YtV0HtyhsSGxvrFQ9AYXD1tU/enww9a7GmhUp5+O61igjIwU+NZYHz57lBij17+jmtvXTfi+faq5pZ+F97lh05n2ZkYA6pjMgiRMi//bYR8+dburht2ypg4sSgQgenetO9//JhMgDLO9Wnuj8iIyrkun9+1/5eRTMWP3gOjem/yok6Hh7JKqBdecfTH7ob3nTfC4O7XP+SJRJotZbMHiEhZkyZooCfn2NtM7MsDjzRYcWNTPz9WIe81i7LScx4t14gBtWQI0jsW37R7nLfPQmHnpDdu3dj3LhxePbsGcaPH4+uXbtiyZIlePToUYGODw0NRUZGBgwGS8BRcnIyRCKRndW7dOnSqFy5MmdbpUqV8Pz5c0eaTHg4ex5psNdmafrLJgE5imkAuH+fxwlYEYtZREeT/7S7w+cxaGHn9lG0pdwRI/Tg8SzD5fXrfBw5ws/jCN8gXW/GvifOcfd4QaCYh552wYnk9kE4h7t3eVi1its/TJyog599gqdcUerMWHw1A002x6PPvmTszUVMMwDalxdj4+ulsKWxFu/X9fM5MU0UDocs1AqFAm+++SbefPNN3L17Fzt37sSuXbuwcuVKREVFoWvXrmjbtq2dtfkFEREREAqFuHz5Mho3bgwAuHTpEmrWrMkJPgSAevXq4eTJk5xt9+/fR5kyZRxpMuHBaI0sPj3FDURsESrCW9VyH/xt0+W1aGGi0tMeQnSYGH8/tojoE/F6jKhZ+PNVqMCiSxcjduzgptBr1cq3nal3PdRCZxVnVdmPj4ali54rd1ikDL/dsfxt9zzS4pnahDIymsQQReOrr8QwWrlkVK5swrBhBYuzuJysx4qbKmy6q8leQcmJQBGDwRFyDI+Uo4p/1jjiBp4uhJPp2FGe/07/wTDArl0FNwwUetpVrVo1jBs3DjNmzEDDhg1x4cIFTJ8+HZ07d8bSpUs5VugXSCQSdOrUCbNmzcK1a9dw+PBhrF27Fv369QOQFbSo1WZZTnr16oWHDx9i0aJFePz4MdavX4/Tp0+jZ8+ehW0y4WEsvJqBuAzLyM9jgFk2FRFtsRXUr71W+PRrhGuxDUw88VwPli1aMKltCr3duwWIi/MSx95CstWmmEuvKlKnZCdoGiJCrUDL+2diwSnYQxCF4cIFPrZu5fYNkyfrIMojw6PexGLTXTXe+CsRrXYkYvVtda5iukEpIRa9FIjr/cIxo2lAtpgmvBMeD+DzC/aP56BCLtST8/DhQ+zatQu7d+9GfHw8qlSpgvHjx+OVV17BsWPH8NNPP+HRo0f46quv7I798MMPMXPmTIwdOxZyuRwjR45Eu3btAACdOnXC1KlT0aVLF4SHh2PRokWYO3cufv/9d5QrVw7fffcdIiMjC9NkwsN4kGHE95czONtGRMpRv1TuvajJlJXhwxrKP+05NCwtgpiPbOvpE7UJDzNNqORX+AGuZUsT6tY14erVLCvpixR6M2YUf1U1dyRVZ8Y/Nvl0ezpYzCU3GIbB0Eg5Z1Vp9W0VJtRXgEfpxIhCYltivH59E3r1ytlQ8kRlwq+3VFh9W4UETe6FXkQ8oEdlKUbVUqBJiJDS3fkQf/1VfK5oDo1Umzdvxl9//YXr169DKpXi9ddfR7du3VCvniXytl+/fkhISMAff/yR4zkkEgliYmIQExNj993p06c5n+vVq4eVK1c60kTCS/j8dBq0VsvSpSU8fNEo7+wyFy7wkZ5u6RiDg83FVj2LcD5iPoPGpUWclHkn4vVFEtQMk2Wlfv99i2hcvVqETz/VQl7wlT+v4c8HGhisXokaAQLUDXKeRa5fNRlizlre3YeZJvz7VIc25Tw/OJFwPQcPCnDoEPf5jInRciyHLMviyHM9lt/IxK6HWuTh1YHycj7ejpRjSIQMIVJyRfJFjh7l4+WXiydPvkMG7VmzZoFhGHz++efYtWsXvvjiC46YfkG1atXQu3dvpzWS8C32P9biL5uSyNMa+yMwn8AQW3eP1q2NDi/ZECWLbRnyE0UMTASAN980IDjYoiLT0hhs3OhYRUBvwbaYi7PcPV4QJOahe2UKTiSKjtkMTJvGnYi1bm3Ea69lrTpmGMxYfiMT0dsS0G1PEv58kLuYbl1GjDVtgnHxzTB81MCPxLQP07WrHE2aKLBokQiJic5dmXDINLF+/XpUrVo1x+9YlkV8fDzCw8PRqVMnpzSO8D10JhafnFJytjUJEWJgjfyXpe39p8ndw9OIDhcBly2fTxShwMsLpFJg2DA9vv/eMjgvXSrCsGH6QqfQ80SStCYcfsadoBQ1u0dODIuU4/e7FuG+66EW8WoTwig4kXCArVuFuHyZ+8zExGhxK82An2+osP6OGpnG3M3RfkIGb1WXYWRNOSIDix50S3gHS5ZosH69EDExEsyYIUHHjkYMHapHmzZF1wsOCeoBAwZg2bJlqF+/vt13Z8+exaRJk3Dw4MEiN4rwXX64lom76ZblGAbA7BaB+fpgZmYCZ85wO18qN+55NA0RgcdkVdsDgNtpRiRpTSgtKZoYGz5cjwULxDCZsp6jmzf5OHyYj9atfadE9o44rgWvdpCgQELj0SMGly7JkZJSsHvAsFJUTFTg4X+VTY0AvttqRL/qnrkqkJwsRbVqjgcoEYVHrwdmzOCuVjVrr8HU589x5GLek+xagQKMrCVH32oy+AnpphFc+vUzoF8/A548YbBhgwgbNgjRu7cM5cuzGDxYj4ED9ShXrnDB8PkK6u+//x5paVlBJizL4ueff0ZgYKDdfrGxsZyS4gThKI8yjZhziRuIOCxShoal8x+Ijx8XwGCwiO6qVU2oVInKjXsa/iIe6gULcSnZEnR0Il6PrpWKZkktX55F164GbNtmeZaWLBGjdWvfyUKx2Sa7R+88ghFZFvjnHwHmzxfjyBEBAEer43ITBP/y3z/PpA5eftmItWtVyGHoI4qBVatEiIuzmsDxWJxu8gR4nrOY5jNAl0oSjKypwMvhIgoyJPKlXDkWH32kw0cf6XD6NB/r1wvx448izJolRps2WVbrDh2M4Dtgy8lXUFevXh0///wzgKwo7tjYWAiFXKsGn8+HQqHAJ5984tgVEYQVU86kQ221hBckZjAln0DEF5C7h/cQHSayEdS6IgtqAHjnHT1HUO/Zk5VCr3Jl7594PVObcNxGjOTk7mE0Atu2CbFggRhXrpCLxguOHhWgc2cFtmxRISzM+5+XkiQjg8XXM22Mc9GpQIi9mA6V8jAsUo5hEXKUldPzShSOZs1MaNbMhJkztfjrLyG2bBFi1CgZ/P1Z3LyZkf8J/iNfQd2tWzd069YNANC8eXPMnDkzR5cPgigK/z7VYlscN2BqWuMABBdwqf/ff+0DEgnPpGWYGEuuWwLZbIVgYWnRwoT69U3Zfpksy2D5cjG+/tr7U+htj9NwqsJFlRJy8u2q1cC6dSIsXizGgwe0TJ4T167x0bGjHFu3qmj1qxhQG834454GX30rhjLZ6hkUmYH2iZx9o8NEGFlTjq6VpBDxyRpNOAexGKhc2YyqVc24dInFs2eOPVsO+VCfOnXKoZMTREHQm1hMOsmtiBhVSojBBQhEBIDnzxncuGER3jwei1atSFB7KrYFXi6nGJBhMBfZH/JFCr333rM8V2vWiPDZZ1ooFEU6tduz5Z59dg8ASE1lsGKFCEuXipCUlPvft3p1NYKDHfOBTtezuKm0rDQwAKJKCyHkeY4Aio/ncSYY9+7x0aGDAlu3qlCzJqXkdAb30o34+aYKa2NVSEvhAbvCuDu0Tgb8TZAJGPStKsWIWgrUC6YgQ8J5xMUx+P13ETZtEuLePR6qVDFj+HA9BgxwzJiTr6CeNm0aRo4ciQoVKmDatGl57sswTI75pQkiL5Zcz8TtNK4AnhMdCH4BB15b63SjRibydfRgQqR81AgQIPa/Z8LMAmcS9E7JZdy7twFTp5qR/J8FLD09qyMdMcI5VnB35FGmEacTudfXQizH559LsGqVCCpVzu8Zw7Do2tWI8eN18PO7iRo1ajj0uyzLoumWBNxJz7qPLICeTfzxQT2/vA90I9Rq4M03gePHA7K3PXvGQ6dOcvzxhxqNGvlOUKszMZlZ7H+iw/Ibmdj/xCrzzN+lAZ3VqqTciCrdlRjVMAADqsvyTZ1KEAUlJYXB5s1CbNokxNmzfEgkQNeuBsyfryl0nup8BfXFixehUqmy/58XFAhAOMpTlQmzLnJ9lAbXkKFJSMGtYbb+01Qd0fOJDhNlC2oAOB7vHEEtkQBvv63HnDncFHrDh3tvCr1t1rmnn4tQ+ngoOk30g9GY8wWLRCz69zfg/fd1qF49ywobG+v472ZVTpRhypn07G0rb6nwfl2Fx4wVMhkwZ84dzJ1bD5s3W/qklBQeunWT47ffVGjVikR1QUnRmrA2Vo2fb6rwINPm75YsBI4Hcza9/Z4GcweGUKVNwmls2SLE778LcfCgAAYD0KCBCbNna/Hmm3oEBOR/fF7kK6i3b9+e4/8JwhlMPZvGySUaIGIwrUnBMwqwLOwqaZGg9nyiw8RYfduSlcIZBV5eMHy4HvPmWVLo3b7Nx7//Crw2kHVLnAa4LwX+KQ1c9UNSLvv5+7N4+209xozRITzcOT7C/avLMP1cenZ1xnsZJhx5rkerMp6TEUooZLFsmQYBASx++cXS7sxMBn36yPHLL2p07uydz46zuJikx/KbKmy+p+ZUwOWwOwQwWYRzhQpmzPzITGKacCojRkgRGMhi6FA9hgzRo14957luOa/mLEE4yJFnOvxh49s5uZG/QzmHb97k4flzyzKgXM6iWTOyGHk6tn7U5xL10JlYiJ0QgFS2LIvu3Q3YssU6hZ7I6wS12Qys3sbgwoxywP3c4xHCwswYM0aHt98uuoXGltISPrpWkmKLlZV81S2VRwlqAODzgblztQgKYjF3rmV1Q6djMGSIDIsXa9C/vyGPM/geOhOLrfc1WHEzE2cT8/7b1FTJcet8ACdw9vPPtaBMvISzWbZMg27dDMXybOUrqEePHl3gkzEMg6VLlxapQYRvYDCzmHRSydlWL1iI4ZFyh85j6+7x0ktGiDyzfgRhRSUFH2VlPDxVZ1kPtKYsK1fzMOf0gu+8o+cI6r//FuDePR6qVvX8QDODAfjjDyEWLhRzgnVtqVrVhHHjdOjXzwBJ0b1pcmVohJwjqP98oEGy1oRSRSzW42oYBpgyRYfAQBZTplhSDppMDMaMkSEtTYN33/VeX/yC8ijTiF9vqbD6thpJ2tzfJzEf6FVFhlE15fhmTCBuspbJcu3aJvTtSxMUwvn06ZP1XMXFMVCrGdSuzX1Gv/xSjAEDDKhRw/GxIF8Pfx6PBz6fX6B/PColRRSQ5TdUuKG0CURsEVDgQMQX2AYkkruHd8AwDKJtxLMzypC/oFkzE6KiLM9KVgo9z56JqVTATz+J0LChH8aMkeUqphs2NGLVKhXOnMnE0KHFK6YB4JUyIlT1s7RFbwbW3/Hcgjrvv6/HwoVq8Hhct5hPP5Vi5kwxWB/MqMeyLP59qsWAA8lo8Ec8vr+cmauYrqDgI6axP673DcdPrwQh84YU+/dzs3ZMm6Z1qKAGQTjCkiUiNG3qh5UruX3+gwcMFiwQIzpagVWrHM8kk6+FesmSJQ6flCDyIl5twswL6Zxt/avLHLY+6vXAsWMkqL2V6DARNltZNk/E6zAezskQkZVCT48xYyzPz7p1Inz+uRZ+npOEAgCQnMxg6VIRli8XITU1D6NGZCZWf2VG19dZlwZg8hgGQyPlmHbW8s6vuq3Ge3U8JzjRliFDDAgIYDFypIxToXXmTAlSUxl8+63WJ0qVp+nNWH8nK8gwNi3vvrdNWTFG1ZKjfXlJtuGEZYEvv+TO6Fq2NKJ9e+rHieLh0CE+PvtMgh49DBg7lhubU6kSi4sXM/DFF1J8+KEUNWua0bx5wV1I833lzWYz5//5/SOI/Jh6Ng3pBosZx1/I4EsHAhFfcOYMn5PyKzzcjFq16Bn0Fuws1Al6mMzOM//16mVASIjleUlPZ7Bhg+dYqR88YDBxogR16/ph1ixJzmKaYYGGacBH9/Da9Hh0a+daMf2CAdVlsE4jHptmxHEnrjiUBN27G7FxoxoyGfeZXLpUjLFjpTB6sSa8nmrAhONK1P79OT49lZarmPYXMRhTW46zvUKx5Y3S6FhRylmF3LFDgHPnuEaRL7/Uem3GHaLkWbRIjHbtjPj1V02OVXIrVmSxZo0azZqZ8P33jhn58rVQt2zZEsuWLUP9+vURHR2dp0WBYRicOHHCoQYQvsWJeB1+v8sNRPysoT9CpY6v79n6T7dubaSO2IuoFSRAoIiBUp/V6aXrWVxXGp1W1EEsBoYN02P2bIuFbNmyrJzU7mxdvHqVh4ULxdi8WZidqcQWiYSFODoNaS0TgdJZPoM9qwS6sJVcQqR8dKoowfY4S1XKVbdUeCncs6POXnvNiG3bVOjTR460NMu92LBBhLQ0Br/+qi52lxpXYTCz2PlAg+U3VPlOhuoECTCqlgJ9qkohz6Ugk9EIzJjB/eN06WJA06YUVE4UH1eu8PHdd5p89xs2TI/p0x17efMV1CNGjEBYWFj2/z11iY4oeYxmFh+fUHK21Q4SYFQtxwIRX2DrP+1tWRp8HR7DoEWYGHseWUTYiec6p1ZJe5FC70VO5thYPg4eFKBtW/d6llgWOH6cj/nzxdi3L/frDwhgMWqUDq36qtDtWHz2dgEDdK0kzfU4VzAsQs4R1NsfaPCdzowgDy/W0ayZCX/9lYleveRISLBcy+7dQvTpk5Wr2tPciKxJ0gObL6Rj1W0VnqlzXwEUMED3ylKMrCVHi1BRvlph7Voh7tzhVridMkWbxxEEUXQyMxkEBua/0lmmjBlKpZNLj48aNSr7/45k/CAIW365qcK1VK5Qmd0iEIJClCJWKoHz57lW7dat3UsEEUWnZZiIK6jj9Rhd23nnL1OGRY8eBvzxh8XVY+lSkdsIarMZ2LVLgAULxDhzJvfuumxZM8aO1WHoUD38/IDp51Sc79uWE5e4cG1dVoxKCn52QQ+dCdhwR40xdTy/7nvdumbs2aNCjx5yPHxo+TsfOSJAt25ZVRVLlfKsaMWbSgNmXczA9jgpTGxGrvuVkfEwLFKOoRFyhMsKttKoVmf5m1szaJABkZHkskcUL+XLm3HrFh+vvpr3Ssjt23yEhzv2PDqUh/r8+fO5fsfj8SCTyVCuXDnI5YWzOBLeS6LGhK9sAhH7VJUWesn3yBEBzGaLEK9Vy4QyZTxrwCLyxz7Thw4syzp1peydd/QcQf3330LcvctDtWolN7jr9cDvvwuxaJEYt2/nLlIiIkz44AMd+vY1ZKeLZFmWk6YOAHpWyT0Ptat4EZw4/Zx1cKIK79aWe8XKZ9WqZuzZk2WpvnnTcs8uXBCgUyc5tmxRoVw5z+ijLibp0XVPEjIMLICc781L4SKMqqlA50oSCB00iixZIubUD5BIWHz6KVmnieKnY0cDli8XYcgQPaS5LNqp1cCKFSK88opj7kcOCeoxY8Zkd3ysVW4g686Qx+Oha9eu+OSTTyiNHpFNzLl0pOstz4xCwGB608JXkaB0eb5Bg1JCSPkMNKasZ+e5xoy4DBOq+DuvJlWTJiY0amTE+fOWcy5bJsJ337l+gM/IAFauFOHHH8V49iz3/rNZMyPGjdOhY0ejnb/3xWQD4jIsA4GYD3Sq6B6OvAOry/DN+XS8KI56U2nEqQQ9Wjgpv3hJU7Ysi127VOjTR8YJtrt1i48OHRTYtk1VohO1gmBmWUw4ofxPTHORCxi8VV2GETXlqB1UONerlBQG8+dz7/e77+pQtqxnTDYIz2bMGD3WrROhRw85vvtOg6go7vt44UJWFpCnT3l47z3H0ns6pHjnzZsHkUiE7t2746effsLGjRuxZMkSvPnmm+Dz+fjwww8xfvx47Nu3D6tXr3aoIYT3cjpBh3Wx3Afzk4Z+KFPA5cGcsA1IJP9p70TEZ9AkhDtwH3diGXLAkkLPmt9+EyE9PZcDioGEBAYzZohRt64/pkyR5iqm27c3YNeuTOzdq0LnzvZiGgA221Qffb2cBP4i9zBuhMn46Ggj7lfeUuWyt2cSHMxi2zYVWrXi9kmPHvHQsaMcV664x73IjTW31TifxC2qEhEgwKzmAbjRLxxzowMLLaYB4PvvxUhPtxjhAgJYjB/v3HeaIHIjLIzFb7+p8fgxD23aKBAZ6Yf27eVo21aOiAg/tG0rR1wcD2vWqBAR4djk16E3e9WqVejRowc+++wzNGrUCJUqVULDhg3x8ccfo3///vj333/Rt29fjB49Gjt37nSoIYR3YjKzmHgyjbMtMkCAd2sX3m/ywQMG9+5ZxLhQyKJlSxLU3kp0ePEVeHlBjx4GhIZaOs+MDAbr1xd/Cr3793mYMEGCevX8MHeuhJMp4gV8Pou+ffU4diwDGzeq0bKlKddsNmaWxbY4rqDuXaVkgxFtGRrBdQncFqeBUufeVltH8fMDNm5UoXNnrjBNSOChc2cFTp50z6olqTozvjzHnUm2KWXEqZ6hGF1bUeSJ2aNHDJYt475XH32kRWBgkU5LEA7RtKkJx49n4JtvtKhXz4SMDAY6HYPGjU2YNUuL06cz8vWxzgmH3o7r168jOjo6x+8aN26Mq1evAgCqV6+O+Pj4HPcjfItVt9W4lMwdVGa1CHTY586aQ4e41ummTU1QeH5cE5ELLcO4A/AJJ1uogawUem+/zRXqy5aJUFyp9S9d4mH4cCkaN1bgl1/E0Ons3weZjMU77+hw4UIGli3ToE6d/BtzJkGPxyrLQCATMHijgnu4e7zgtbJiVFBYBKXWBPx+13MrJ+aGRAKsWqXGgAHc5yo9nUHPnnLs3+88tyVn8dX5dKRYTW5kAgYfVjE4zcf9228l0Ost5ypXzoxRozw7HznhmQQEAO++q8cff6hx4kQmjh7NxPr1aowcqYe/42UxADgoqEuXLo2zZ8/m+N3Zs2cRFBQEAFAqlVCQwvF5krUmTD/HtU73rCxF67JF85ckdw/fokmICHyr8fxuugnxaufnqn37bT2EQosf5927fBw44DzRw7JZVbp69pShdWs/bNki4gTWviAoyIxPPtHiypUMfPedFhUrFty3dLNNMOIb5SW55gEuKfg8BkNqcIMkV91WceJyvAWBAFi8WIMxY7iTQI2GQf/+MmzZ4rwUkEXlYpIev9zkut98VN8P4RLn3Jfr13lYv557vZ9+qs01MIwgipP09KwVE1t+/VUEpbJw53Sop+3duzfWrVuHOXPm4Pz587h//z7OnTuH2bNn47fffkPPnj0RHx+PlStXonHjxoVrEeE1TD+Xnl2UA8gKaPmqWeEDEYGsNGK2FmoKSPRuFEIeGpTiDsQnE5xv1QoPZ9GzJ3c1ZenSort9mEzAtm0CvPaaHN27K3DwYM4iqnx5M2bO1ODq1Qx89pnO4TRrJjOL7TbuHr2quqdaGVhDzpkkXU814myiIfcDPBgeD/jmGy2++IIb5GowMBgxQoqVK0teVJtZFhNPKmH9xFXz5+N/dZ1nGJs+XQKWtdz0yEgT+vf3zntOuDc7dghQr54/li/nGvcePmQwYYIE9ev7Y98+x40pDh0xaNAgaLVarF69Gn/88QeArGwfCoUC77zzDoYNG4Y///wTJpMJ7733nsONIbyH84l6rL7NXcad2MAP5eRF8x28fJmHlBTLPNDfn0XDhlRZy9tpGSbmBEode65D98rOF4vvvKPHxo0WEb1/vxCxsTzUqOG474dWC2zYIMTChWKOz78ttWtnpb7r3dsAYRG01fF4PeI1lnb6CRm0K+de7h4vKCvn440KEux6aBGZK2+r0DTUc0q/OwLDABMn6hAQwGLSJMtzy7IMxo+XQanUYPz4knN9+O2OGmdsJjTfNQ+EmO8cV48TJ/jYs4f7cE+dqoXA/bxeCC/n4kUeRoyQoXFjE7p35z7zFSuy2LlThZgYCQYOlOHQoUzUqlXwvt/hx3nkyJEYNGgQLl++DKVSidDQUEREREAmy1rC69SpE7p27eroaQkvIidrR3V/AcY6oYCDbbq8Vq2M1Cn7ANFhIiy+ZvlcHIGJANC4sQlNmhhx9iw3hd7s2QVPoZeWBvzyixg//STiVM6zJTraiPHjdWjf3phrkKEjbLVx9+hYUQKJwH3zOw+LkHME9ZZ7GnzTLAABbpKRpDgYPVqPwEAWY8ZIOWXjY2KkSE3lISZG65RnwRGUOjNiznIDETtXlOD18s6ZjLEsEBPDPVfz5kZ06kQri4Tr+f57CRo2NGHnTlWO2uGll0z46y8VXn1VgblzxVixIv8y5S8oVM8lkUjQrFkztG/fHlFRUdli+u7du+Dz3TN6mXAda2PVOJdkG4gYAJETrB22y+XkP+0bRNsEJl5NMSBNXzwRg7Yp9NavFyEtLZedrXj2jMHUqRLUreuPL7+U5CqmO3Uy4O+/M7F7twpvvOEcMW3Myd3DzbJ72NK2nBjlrVasNCYWm7wwONGWvn0NWLtWDYmNb/KCBWKMHy+FycULbt9cSEeS1vIuSfjAN0V0zbNm1y4BTp3iKpdp01w/cSAIIKvC8siR+jwNcSIRMHq0DqdPO2atc2jvtLQ0/PDDDzh37hwMBkN2EAnLstBoNFCpVDh58qRDDSC8i9QcrB1dK0nQxglLzxoN7NJNkf+0bxAs4aNmoAA3lVn3mwVwOkGPdk6yolnTvbsBkyebER+fJYgzMxn89psIr7+e8/537vCwcKEYGzYIORkMrBEKWfTpY8AHH+hQs6bzJwKHn+mQbJWdIUDEoE1Z93T3eAGfx2BQDRlmXrSUtV55W40RNb2jcmJedOxoxB9/qNC/vxwZGZZrXbUqa/K2bJkmu/JlcXIlxYAVNoGIH9b3QyU/5yz7GY3AjBnc5/CNNwxo2ZLc9IiSITmZQVhY/n1wlSpmJCY61g85XNjlzz//ROXKlSEUChEQEIB69eqBZVmo1Wp8/vnnDv044X18bZN2Scpn8LWTrB0nTwo46cUqVDCjalXvyl9L5I6tlbo40ucBWdaJ4cPzT6F37hwfgwfL0LSpAqtXi3IU0woFi/fe0+HixQz8+KOmWMQ0ALtS410rSZ2yIlTcDKohg3UGzaspBlxI8o1AtZdfNuHPPzNRqhT3mdi2TYT+/WVQFXO9G5ZlMemkEmYrQ3llPz7G1fVz2m+sXy/klGFnGBbTplGJcaLg6HTAuHFSVKrkj4gIPyxYkP9MMzWVQY0afli3zj4opUwZM+Li8pe+Dx/yEBLiWGC4Q4L65MmTGDlyJObOnYvevXsjLCwM33zzDTZu3IiqVavizp07Dv044V1cStbjF5uqZxPqK1BR4RxrR07p8rzckEVYER1W/AVeXmCbQu/+fT6OHw8AywL79wvQpYscbdsq8OefQk7mgheULm3G5MlaXL2ajq+/1qJcueJLCac3sfjzgWe5e7ygvEJgt8qw8rZ3VU7Mi6goM3bvVqFcOa6oPnBAiF695IVO31UQfr+rsXuHZjYPcJrfvUYDzJzJvbdvvWVA7dpkBCEKzpQpEpw+zcf27ZmYN0+DOXMk2Lw57+jtTz+VIDExZ3nbtq0Rv/6ad40BkwlYuVKEZs0cWwF3SFCnp6ejXr16AIBq1arhxo0bAAC5XI4BAwbg2LFjDv044T2YWRYTT6RxrB1V/Ph434nWDso/7dvYWqjPJeqhNRaPUA0NZdGrF9dS+uOP5fDKKwq8+aYcR4/mPEmsVMmMOXM0uHIlAx9/rHNJBbh/nmqRZpWespSYh1Zlipbr3ZUMi+DmpN58T4P0YvKPd0ciIszYvTsT1apx3SBOnRKgc2cF4uOdbzVI15sx9Sw3MOCN8mJ0qOC8idjy5SI8eWKRGGIxi88/J+s0UXBUKmD1ahG+/VaDqCgzOnc24oMPdFi+PHcr9b59Apw/z0fp0jn3IWPG6HHnDh9Dh8pyfLcSEhgMHy7DlSt8jBnjmNHGIUEdFBSEzMxMAECFChWQkpIC5X9T6JCQECQmJjr044T3sP6OGqcTuQ/fd80DnWbtSExkcOUKd+mwVSsS1L5EBYWAE8SmNwPnk4rPSm0bnBgbK8PVqzkHXderZ8LPP6tx7lwGRo7Uu7RYha27R/fKUgiKUInU1bQrL0FZmWUoUhlZbL5X8Mh6b6BiRRZ79qhQrx5XVF+7xkfHjnI8eODc+znzYjoSrFIsivnAzOaBTju/Ugl8/z13UjdypB4VKnhf8R6i+Lh6lQ+dDmjRwvJetGhhxPnzfBhzGP4zMoAPP5Ri/vzcYxCqVjVj2TI1Dh0SoF49P7RrJ8fIkVK8/bYUbdvKUaeOH/btE2DRIg0aN3bM198hQd2kSROsXLkSjx49QtmyZREYGIi//voLAHD06FEEusIcQ7gdOaVd6lhBgvZOLHl8+DDXIli/vtnhwheE52Nfhrz4BHWjRqZ8l/xatTJiyxYVDh/ORO/eBpencNQYWex6wLX69fQQd48XCHgMBtaQc7b5ktvHC0JCWOzcmYnoaO4zd+8eHx06KHDzpnPSCV5PNWDpde7f94O6fqji77yHd/58MZRKbr2Ajz4qnpgHwnt5/pxBUBALiZWUCA1lodczSEqyn2ROmybB668b8NJLeQvhTp2MOHIky/iRlsZg924hDhwQQqtlMGaMHidPZqBfP8djORilUllgVfL06VOMGTMGoaGhWL58OTZs2IB58+ZBJpNBo9FgxIgRGDVqlMONcBaxsbEl9ttE8TJjRiXs2BGS/XnIkGd4//0nJdgiwhf4++8gfPFFNc42hmHx2mupGDLkOerU8f40b4Rr0Wp5+OSTajh+nBvMHRBgxIIFt93+mUtIEKJXr3rQ6SyCeuzYx3j77ecl2CrC3alRo4bdtg0bhPjySwlu3LBkAoqLYxAV5Y9Ll9JRqZJFvh49ysfo0TKcOJGBgACgdm0/fPGFFgMHui7I2aEpadmyZbFx40Y8ePAAAPDWW28hMDAQly9fRp06ddC5c+diaWRByemGFBexsbEu/T13wvrar6YY0GpHAsd3+pMoP3zW0N9pv8eywPnzXF/s3r39SuTvT/e9ZK/9ltKA5lsTsj/7CRnEDSgDfjG5OFStChw+bMDevUIIhWYMGGDE++/rUL06H0C5YvlNR3j7YAq2WuWffqeWHN+1CHT677ji3vf5Own7nlismG9HyjCvZVCx/mZBKInnftu2LF/PzZstKzJpaQL873+18NtvKrRqVbi0c5vvqTHiUCpn25o2wehaKfdVDUevf9EiKUdMh4eb8cUXfpDLnRdP4yrcoc8rKdzh2iUSFjqbhY0Xmb5kVqEXGg3wwQdSfPedBgHOS6HuMA6tIY0cORJnzpxBRERE9rYOHTpg0qRJJS6mCdfD/lcR0VpMV1LwMb6eczvOO3d4ePzY8qhKJCyaN6c8pr5IRIAApcSWZyHDwOJKSvFZIPh8YMMGNc6ezcC+fRexYIEG1au7R8CcymDG3sdcdw9Pye6RE0MjuW4fm+5qkGlwj7+1qxGJsnJRDx/OVROZmQz69JHjr78cd8/IMJgx+Qw3ELFtOTG6VHSea97t2zysXcvNwPDJJzrI5bkcQBB5UKYMC6WSgd7Ksy8+noFYzCIoyCI8zp3j4949Pt59V4Zy5fxRrpw/nj1jMGGCFB9+6Lp8/A4J6jt37kDkimzzhEew6Z592qVvmwdA6uRyx7blxqOjjRyfKsJ3YBgGLVzoR531m0D16mbI5e4l7vY80kJtleWkvJyPpqGe2z+/UUGCcKllSMo0snYBl74Enw/MnavFRx9xJ006HYMhQ2RYvz7v1GG2zL6YgWdqyzMs5AHfNQ9wahGd6dMlMJst56tWzYRBg4r3/SS8l3r1TBCJgFOnLMHgJ08KEBVl4sSrNG5swvnzGThyJDP7X2hoVlaZzz93ne++Q4L6lVdewZYtW6DR+G4nR2SRrjdjio21o105MTo6MRDxBZQuj7DGVQVe3B1bsdmzihQ8D07MLuQxGGQbnHjL94ITrWEYYMoUHWbM4N5rk4nBmDEy/PRTwSZQt5QG/Hgtk7Pt/boKVA9wTJTnxZkzfOzcyT3f1KlaCJ33E4SPIZMB/fvr8fHHUpw7x8euXQIsXizOzsAUH89AowGk0qzsHdb/+HygdGnW4eIsRcGhdSM+n49//vkHr7/+OsLDw1GqVCnO9wzDYOnSpU5tIOGefHcxA/FWaZdEPOC7FoFOLxlsNMIu5y+VG/dtWuZQ4IVlWa8vV21Nmt6M/U+8x93jBYMiZJhz2RKAdD7JgEvJejQo5bmWd2fw/vt6BASwGD9eyrEAf/aZFEolg08/1eVa5IplWXxyKg3WKdvLyfj4qL7zXPNYNivDgjWNGhnRrRv11UTR+PprLSZMkKJbNzn8/FhMnKjNrhEQGemPH35QuzTwMC8cEtTx8fGoX79+cbWF8BDuqhgsuc61dnxQ1w9VnZh26QXnzvGRnm4ZKUqXNqNuXfdaeidcS/1SQsgFDFT/KYRErRl3041Otba5O7seaqGzCiOo7MdHVCnPv/7KfgK0KSvGP08tqw6rb6sxN9q3BTUADBliQEAAi5EjZTAYLH3id99JkJrKYOZMLXg5rDnveKDFv0+5qzhfNwuAXOicNHxAVjGN48e5/X9MjJYq2RJFRiYDlizRYMkSe88IpTIthyOyuH49I8fthw7lXEsgN1q3Lni8Vr4KaOvWrWjdujWCg4Px008/OdSQnNDr9ZgzZw4OHDgAoVCIAQMGYMiQIXkek5aWhn79+uF///sfunTpUuQ2EIWHZVnMvieCycraUV7Ox4QGimL5PVv/6datjTkOGoTvIOAxaBoq4oiE4/F6nxLUW+9zU6f1qiL1Ggv90Eg5R1BvuqvG9Cb+ThWAnkr37kb4+6sxcKAMarXlfi9bJkZaGoPFizUcFwuVwYwvTnNFR+syYnSv7DzXPJMJiInhnq9tW0OhM5EQRHHSo4ccDJO1qpIbL75nGCAlJT33HW3IV1B/9913qFatGoKDgwFkCaqffvoJffv2RenSpQv8Qy9YuHAhLl++jMWLFyMhIQExMTEIDw9H+/btcz3m+++/R0pKisO/RTifrfc1OJfGneF93SwAMkHxDHa2gprcPQggy4/aWlCfiNdjSIRvpBJI1ZnxzxOuxbFXFVkue3senSpKECrlZVfySzew2BqnsfOv9lVee82IbdtU6NNHjrQ0i6j+/XcR0tMZ/PqrOjtoe+7lDDxWWYStgAFmtXBuIOKmTUJcv84dE6ZNoxLjhHvy55/FF5eRr6BmbWS82WzG6tWr0aZNG4cFtUajwfbt2zF37lzUqlULtWrVwqBBg7Bp06ZcBfXx48dx/fp1BAWVfD5SXyczh7RLr5UVo1ul4km5kZGRFehiDQlqAgCiw8QALEt6vhSY+OcDDccfNiJAgDpBLi7RWIwIeQwGVpdh3hWLW9mqWyoS1FY0a2bCrl2Z6NVLjvh4izFj924h+vSR47ffVIg3G7DoKtc1b0wdBSIDnbeSo9MBX3/N7f/79NGjfn1yyyPck5dfLr6Vk0L1wrYiu6DExsZCr9ejQYMG2duioqLwyy+/wGg0QmBTt1elUmHmzJmIiYnB1KlTC/WbhPOYfTEDT23SLjnb2mHN0aMCGI2Wc1evbkKFClRunACahAgh5AEv0hTHZZjwVGVCWblj/nGeSE7ZPbzF3eMFQyLkHEF9JtGAqykG1A32Hbee/KhTx4zdu1Xo0UOOhw8tovrIEUFWANd7j2CdxruMjIdJUc6tEfDzzyI8emT5baGQxRdfkHWacF/WrHGsDxk8uOABjy41ayQlJcHf3x9isSVKPzg4GAaDAUql0s7ivWjRIkRHR6NRo0aubCaRAwefaLHIJu3Se3UUqFGMfqu27h6ULo94gUzAQ8NSIpxOtOS4PRGvQ++q3uP6kBOJGhMOP7N19/D87B62VPEXoHUZMQ5ZXeuq2yrMLoYqkJ5M1apm7NmTZam+edMymbxwQQB8URZ49wEQmNVvzmgaAD8n+qGnpQFz5nAz7rz9th6VK5PRg3BfPvig4P0lw7ixoNZqtXaFYV581uu5yd/Pnz+Po0ePYsOGDQU+f2xsbNEb6QCu/r2S4omWwbCLEphZixUsVGRGT0UCYmMT8jiyaPz9dx3O58jIR4iNVRbb7xUUX7nvOeFO115TJMRpWCZ0u28noL6peNMnlfT1//FMADNr6UNryMzgJcYhNrH4f9vV1/6GPx+HnlkE2/rbmRgSmAhJCSxClPR9z49Fi/gYP74Grl2zCg6PFwMLKwNjHqJRNQ3qG5+gsJeR0/X/9FNZpKRY6jzLZCb07n0DsbHeZfhw93tfnLjy2l1V5vzSpZyzfziDQgvqwiwxikQiO+H84rPEqvSdVqvF119/jY8++ggKRcGzR7iy7rw71Ll3BWqjGW//lYQ0o0WoMGDx06shaFCu+MoVPnnC4P59y0ySz2fRp08IAgJCiu03C4Kv3PeccLdr7yTRYPUTS7Dyda0UNWpULrbfc4frPxKbCMDSh75VMxA1ajh3GT8nSuLaK1Vl8f2D50jSZvktZJoYXBWUQ//qrl2FcIf7XhD27DFh4EAjDh+2GtZTRcCiyhi3IQMREYWzTud0/fHxDDZs4D53H3xgQPPmVQr1G+6Kp9z74sBbr71ixeJbQSmQoJ40aRKENuWOxo8fb+fzzDAMduzYket5QkNDkZGRAYPBkH2+5ORkiEQi+Pv7Z+93/fp1PHr0CDExMYiJiQGQJbJnzpyJK1eu4LPPPivQxRFFg2VZjDumxNUUrtVvTCUD2hajmAaAQ4e4z1bjxiYEBOSyM+GTtAgVgwHwonu8kWqEUmdGoNg706s9U5vsyqx7o7vHC0R8BgOqy7DwKjc40dWC2lPw8wNmrUhDyzeFMF+2jKfIEOD9/oEI26hCixbOCciaNUvMSdsXEmLGe+/5TmAw4T2cOsXH0aMC6HSWVHosC6hUDE6c4OPffwueFSRfQd25c+dCN9SWiIgICIVCXL58GY0bNwYAXLp0CTVr1uSI89q1a2Pz5s2cY0ePHo3+/ftTHmoX8tN1FTbd4wZAdaskwbDy6lyOcB6ULo/Ij0AxD7WCBLiemvVssABOJujQoYJ3isxt9zWwtq00LC1ElWIopuRODIngCuqTCXrcSDWgVhAFJ+bEtMtpMA/RAhvLAqcDs7enpzPo2VOONWvUeP31ovWld+/ysGoV13Vz4kQd/Ip/oYQgnMqyZSJ8+qkkx5zUPB4cflfy7Y2dmV1DIpGgU6dOmDVrFqZOnYrk5GSsXbsWn3/+OYCsoEWFQgGJRIIKFSpwjuXz+QgODs7Oh00UL4ef6TDFJkVezUABfnglCM/jijcnOMtSQCJRMFqGibMFNQCceK73WkG9xbaYS2XvvE5rqgcI8Uq4CEeeWyzzq26rMLN5YMk1yk3Z80iDvY+0AB9Av6eAxAQcLpX9vUbDoH9/GZYu1WSXbi4MX30l5mRfqlzZhGHD9HkcQRDuyYoVIrRpY8Ty5RosWCBCWhqDb77R4u+/BRg7VobevR17T1y+Nvrhhx+iVq1aGDt2LGbOnImRI0eiXbt2AIBOnTph//79rm4SYcOjTCPePpjCqYboL2Swtk2wU6PEc+PaNR4SEiy/o1CwaNKEqm4R9kSHcS1lti4R3sLDTCPOJHI79x5e7O5hzdBIbv7pDXfU0Bgpk4Q1WiOLT09ZGUB4QPPRqfjiC+4Ko8HAYMQIKVauLJyF/8IFPrZu5b5zkyfrIKLK8IQH8uABDyNG6BEUxKJhQxNOnBBAKs2qSPrBBzosW+bYg+3y9UKJRMLxjbbm9OnTuR63c+fOYmwV8QKNkcXgf1KQrOMm5l/WOshlpZ1trdMvvWSEkFZ4iRzIKvBi4UKyHhojC6nAu/Iyb7PJPd08VIQKCu9293hBl4pSBIvTkPJfn6TUs9jxQIN+1ciX+gULr2YgLsNidOAxwJyWgajXRY+AAGDSJMvki2UZjB8vg1Kpwfjxjk1AbUuM169vKpK1myBKEpEIkEqzJufVqplx9y4PBgMgFAItWhjx00+OCWrvjN4hCgXLsphwQomLydwO8rOGfi5dRid3D6KglJXzUUlhyaNmMANnE73PSp1TMRdfQSJg7AIRV90qvvLBnsaDDCO+v8xNBTaiphz1/iuCM3q0HsuWqcHnc636MTFSTJuWs/9oThw8KLALFo+J0YJHKoLwUOrVM+Gvv7Lek+rVsybsZ89mjSdPnjj+YNOrQGSz4qYK6+9w/TQ7VpBgYgPXRZvodMCxYySoiYJj7/bhXdkG7qUbOZNcBkB3H/CftmZoBFdQH4/X47aSLKMA8PnpNGitPOJKS3j4oqE/Z5++fQ1Yu1YNiYSrnhcsEGP8eClM+XjUmc3AtGlc63Tr1kbqmwmPZuxYHVasEGH0aCkkEqBLFwNGjZLhk08kmDpVguhox1xNSVATALJEyGenuEGI1f0FWNIqCDwXljU+dYoPjcbye2XKmBERYc7jCMLXaRnOdfs47mV+1LbW6ZfCRSgj8/4S69ZEBArR0mbitOp28Wcbcnf2P9bir4fcUt/TGvvnmDqyY0cj/vhDBT8/rqhetUqEESOk0Ofx2mzdKsTly9xnLiZGCy+reE/4GF26GPH772rUqZMlnL//XosaNUxYs0aEWrXMmD1bk88ZuJCgJvBUZcLQgymwjvNRCBisaxuMAJFrHxHbJcVXXzVSp03kia3QOpOgh9HsPUFrdtk9qvim7/Awm+DE9XfU0PpwcKLOxOKTU0rOtiYhQgyskfvz8fLLJvz5ZyZKleIaKbZtE6F/fxlUOXjSGAwMZszgTlp79tSjYUMKFCc8m2XLRIiIMGHcuKzZZFAQi61b1Xj6NB1//qlC+fKO9S8kqH0cnYnF0IPJSNBwO9ifWgUhMtD1kYAHD5K7B+EY1fwFCJFYujKVkcXlZO9wB7ipNHDSAvIZoFvl4i2q5K50qyRFoMgyu07RmbHzoWMWJG/ih2uZuJtuEbUMgDktAvNdUYyKMmP3bhXKleP2+QcOCNGrlxxKJXf/rVtLIy7OYp0WCFhMnuxdblWEbxITI7FbeSkKJKh9nE9OKu3ScX1c3w9dK7neRzM1lcGFC9yHmwq6EPnBMIydH/VxL/GjtnX3aFVGjNIS33L3eIFEwOAtm+DElT4anPgo04g5l7iBiG9HyhFVumBZCSIizNi9OxPVqnGtzKdOCdC5swLx8VmiPDMT+Pnnspx9hg7Vo1o1csMjPJ/Klc1ITHSeDPaNvEtEjqy6pcJKGz/EduXE+KxhyZS8OnyYD5a1WFdq1zYhNNR3l3SJghMdJsaOBxZf0hPxevyvbgk2yAmwLIutNoLam0uNF4ShEXIsuW4R0Uef63EnzeCylJ7uwuQzaVBbubsEiRlMbuRYv12xIos9e1To1UuOK1csk7Rr1/jo2FGOrVtV2LBBhJQUy99WJmMxaZJ3TFYJYuhQPSZPluDECT5q1TIjNNR+ojh4cMFXO0lQ+yhnEvSYeFLJ2VbFj4/lrYPB55WM0zKlyyMKi62F+mS8HizLgvFgB/yrqUbEplneASEPJbJy5E7UChKiRagIJxMsEXSrb6sxvWlACbbKtfz7VIvtcbaBiAEILsTKRUgIi507M/HWW3KcOGHpf+/d46NDBwUyMrjvz9ixOoSFkZGD8A4+/TTLfW7z5pwn5AxDgprIh3i1CUMOJkNvNRmTCRisbVMqx+hwV0H+00RhqRcshJ+QQYYha7BP1plxO81YInEAzmLLPe7qUZuy4hJ9P92FoZFyjqBeF6vGF438IeZ77uSpoOhNLCad5GZjalhaiMF5BCLmR0AAsHmzCkOHyrBvn+V9efaM+6wFB5vxwQdknSa8h0s2blNFhXpnH0NvYjHs3xQ8U3OXNn54ORB1gktOfMTFMZzAF5GIRXQ0CWqiYPB5DJqFek8ZcpZl7fyne1X1zewetvSoLEWAVXBiss6MXT4SnLjkeiZup3H7xTktAou8qiiTAevWqdG7d+7vzMcf6+Dvn+vXBOFxVKzI5vvPEUhQ+xhfnEmzExof1FWgZwmn4jp4kCvmmzUzQS7PZWeCyAHbMuSeHJh4IcmAB5mWgDExP6vIEgFIBQz6VrMNTvT+nNRPVSZ8d5FrURtcQ4bGIY6VR84NkQhYtkyD4cPt35sKFcwYMcJzJ6gEkRtPnzKYMEGCqCgFwsP9cfEiD5MnS/DHH44bGElQ+xDrYlVYfoMbFf9qWTGmNi55swP5TxNFxb5ioucKgM021ul25STwd3FOeHdmWAR3tn3omQ730r27z5h6Ng0qq0DEABGDaU2c23fz+cDcuVp89BHXR3v6dC3E4lwOIggP5c4dHl55RYEdO4Ro0sSUXdwoMZHB6NFS7NjhmFc09dA+woUkPSacUHK2VVTw8UvrIAhKKAjxBSYTcOgQN6CGBDXhKI1Li2CtOR9lmvAo0/OeIzPLYhtl98iTOsFCNA3hWpBW3/beFHpHnunwxz3uMzGlkX+xpFBkGGDKFB02bFBh6FA9vv32Lnr29I687gRhzRdfSFCuHIsLFzKwZIkG7H/z1aVLNeja1YiFCx2bRZKg9gGStCYM/icFOquUoxI+sKZNcKEiw53NpUt8KJWWRzEw0IwGDagKF+EYEgFjt/ztiVbq0wl6PFFbnn+ZgMEb5O5hx1CbyonrYtXQm7wvA4XBzGKSTUamesFCvB1ZvD5xHToYsWCBBq+/nlqsv0MQJcWxYwJ8+KEOfn6wq8g8eLAet245po9IUHs5RjOLYQdT8FjFFagLXgpCg1LO8b0rKrbZPVq1MoFf8jqf8EDs3T48z4/a1t2jQwUJ5ELqqm3pWVkKf6FlFEzUmrH7kTaPIzyTZTdUuKG0DUQMKLH0pgThLfB4AMPkPAlXqexFdr7nc0KbCDdm6tk0HH3OtdKNqS1Hv2rukzGA/KcJZ2EbmOhpFmqTmcWOOK6g7knuHjkiF/LsghNXeVnlxHi1CTMvpHO29a8uQ/MwcmgmiKISHW3E3LkSpFllomSYLDfUFSvEaNnSMS1CgtqL2XRXjR+vcQeYl8JFblUEQa0GTp2y9Z8mfz2icDQLFcHaqHBTaUSK1nPch47F6xGvsaS09BMyaFeO3D1yY0gEV1D/81SHuAzvmZBPPZuWnVsdAPxFDL50ciAiQfgq06dr8fAhD40b+2HECCkYBliwQIxXXlHg4kU+Jk92bMWLBLWXcjlZjw+OKTnbysn4WPlqMIRutFR4/LgAer2lPZUqmVG5svf5QRKuIUDEQ12bfOqeZKXeep+b/q1TRQkkAvd5X92N+qVEaFSae7/XeElw4ol4HX6/y12t+LyhP0Kl5A9HEM4gMtKMgwcz0aaNESdPCsDnA4cPCxARYcLff2eibl37UuR5QZUSvZAUrQmD/kmBxipAR/xfEGKIm3XG9u4eZJ0mikZ0mAhXUizP0Yl4PTp7QMlug5m1Kyndq4Tzw3sCwyLlOJ+kzP68NlaNTxv6u5XhwFGMZhYf22Rlqh0kwMialJyfIJxFZiZQtaoZy5Y5pzAUWai9DJOZxYhDqXiYyV3mnhsdiEZOKgDgTKjcOOFsWtr5UXtGYOLhZzqk6CwWkUARg9fKkq9sfvSqIoXCyoofrzFjr4cHJ/5yU4Vrqdy+cHaLwBJPcUoQ3kREhD9Gj5bin38E2SnzigIJai9jxvl0HHzKFRAja8oxqIb7WTYSEhhcu2axmDMMi1atPMfflXBPbDN9XEo2QGVwbOmuJLAtNd61khQiPgmo/FAIeehTjbsC4cnBiYkaE76yCUTsW1WKl8JpckUQzmTcOB0uXeKjd28Zatf2w9SpEly9WnhZTILai9h2X4P5VzI521qEivBNM/cJQrTG1t0jKsqEoCDynyaKRpiMj6p+lomakQXOJrq3H7XOxOLPB1TMpbAMtamcuP+JDg89sKgPAMScS0e63tIPKgSMWwWSE4S38MknOpw6lYmDBzPRq5cBmzcL0aqVAi+/rMAPP4iQkOCYQYMEtZdwPdWA945yE/CHS3lY9Vqw21q5KF0eUVy0tLHmHXPzwMR/nmg5Iqq0hIdXypBFsqBElRahQSlLcCILYM1tde4HuCmnE3RYF8tt9ycN/RAuc6/YF4LwJqKizPj6ay2uXs3A9u0qREWZEBMjQd26fg6dhwS1F6DUmTHwQDJURsuALOQBq9sEI8xNO2KWtRfUr75KgppwDnYFXp67tx/1Vht3j+6VpeQv6yDDbKzUa2NVMJo9Z8XLZGYx8WQaZ1vNQAHera0ooRYRhO+g0wE7dgjw888ibNsmhFAIdOvmWJIEEtQejpllMfpwCu5ncH2PZ7cIRLNQ97Vw3b7Nw9OnlsdPKmXRvDn5TxPOwTYw8WyiwW3LUmuMLHY95AbRUTEXx+ldVQq5VXDiM7UZfz/2nODEVbfVuJTMHcBntQj06GwlBOHOmM3AgQMCjBkjRY0a/nj7bRkSEnj45hsNbt1Kx4oVjmX/oLR5Hs63FzLw92Ou9W1IhAzDIt0vCNEa2+weLVsaIXZf/U94GJX9+AiX8vD8vyIpGhOLS8kGNA11v0w3fz/WItNqdSlcykO0G7bT3fEX8dC7qhSrrVw9Vt1Wo1NF95+cJGtNmH6Oa53uVUWKVuT2QxDFRkSEH1JSGFSubMZ77+nw1lt6VKpUeMMLWag9mJ0PNJh9KYOzrUmIELNbBJZMgxyA3D2I4oRhmBzKkLun20dO7h58skoWClu3j32PtXjsAcGJ08+lQ2nlQy8XMJhBgYgEUax07WrA7t0qnD+fiU8+0RVJTAMkqD2W20oDxhzhBiGGSnlY/VopiN00CPEFBgNw7BgFJBLFi60f9XE3DEzMNNjnTO5d1f0tqu5Kw9JC1LOqlGlmswq9uDPnE/UcqzoATGzgh3Jy94x/IQhvYd48LSIjTbhyhYfLl3lITS2adiJB7YGk680Y+E8KMgyW2ZSAAVa+GoyyHtAJnz3LR0aG5cENCTGjdm33zxNMeBbRNpk+TsbrYHZG9n4nsueRllPRtLycj6ZuWIDJU2AYBsMiudUl19xWw+SmwYlmlsXEk0pYt65GgABj61AgIkEUJ4cP89G5sxzVqvmjdWsFXn1VgWrV/NCpk9zOJbWgkKD2MMwsi3ePpCI2jWvR/aZZgF2qMHfF9mF99VUjePQkEk6mdqAA/iLLxE2pZ3FT6V4rIbbFXHpWkYJh3HuFyd15s6oMMqvgxCdqE/Y/cU93n7WxapxL4gYiftc8wG1TnRKEN7BsmQg9esjx4AEPo0bpMXOmFnPnavHee3o8e8bgzTdl+PFHxw0bFJToYcy5lGGXEaB/dRlG1XLvIERrDh0i/2mi+OHzGLQIFXGCdk/E61A7SJjHUa4jTW/GfpssFL0pu0eRCRDx0LOKlJPPeeUtFd6oICnBVtmTqjMj5iy3ImLXShK0Kede7SQIb+LiRR4+/1yC4cP1+OYbLUQ2uvnLL4HPP5dg2jQJWrY0Iiqq4KvnZBf0IPY+0uLbC9wgxKhSQnwfHegxVq20tCyXD2tIUBPFhX1govv4Uf/1QAO9VV9dxY/PKU5CFB7b4MS/H2vxVOVeaTm/Pp+OFJ3lAZDyGbetaksQ3sJPP4nRtKkJc+bYi2kA4PGAmTO1aNHChKVLHVv1J0HtIdxNM2LU4RSOr10pMQ9r2gRDKvAMMQ0AR48KYDJZ2hsRYUK5cu7p30h4Pi1tAxOf68C6iR+1bXaPXuTu4TSahAhRO8iyEmZigXWxqhJsEZdLyXr8covbno8a+KGCghaNCaI4OXFCgMGD8zesDBqkx9Gjjr2PJKg9gEyDGQP/SeaUJuYzwK+vBXtcB0zp8ghX0rC0CBKrBZGnajMeZJa8pTJFa8LBp1y/3p5VZLnsTTgKwzB2VurVse4RnGhmWUw8kQbrplT14+P9uhSISBDFTXw8g/Ll83fjKFvWjKQkxwwcJKjdHJZl8d7RVLtgqulNAzwy6b+toKZ0eURxIuIzaGyTNcMd3D52PtTCqpYLIgMEqBPkWZNjd6dvNRlnMvUo034SUxKsv6PG6UTuMzizeaDbpzslCG8gOJjlVGnOjWfPeAgJcWwCToLazVlwJRPb47iBS32qSjG2tucEIb7g8WMGsbGWEY7PZ/HyyySoieLFHQu8bL5H2T2Km0AxDz0qc4M8V94qWbcPZQ6BiB0rSNDezQImCcJd0OmAceOkqFTJHxERfliwIPfsG1u2CBEdrUDZsv546SUFdu+2N1K0aGHEunX5Z/BYt06EFi0c0yckqN2Yf55oMf08t/OtGyzEgpc8JwjRGtt0eU2bmuDnV0KNIXwGWz/qkrZQJ2hMOPKcK+p7UXaPYmFYJNfwsPuRFs/VJefy8+2FdCRqLcvNEj7wbXMKRCSI3JgyRYLTp/nYvj0T8+ZpMGeOBJs32wdvHz/OxzvvSPHuuzocPZqJwYP1GDxYhkuXuDJ37Fg9jh3j46uvcl/hnzJFguPH+RgzxrGxgtYY3ZS4DCOG/5vC8bMLEjNY2yYYMoFnzoPIf5ooCZqGisBjkP0uxaYZkagxIURaMkWQdsRpOO913WAhIgIpu0dx0DxUhJqBgmyXORML/HZHjQn1XT+Tv5piwPKbXAv5+Hp+qOxHwzBB5IRKBaxeLcKGDSpERZkRFWXGBx/osHy5CL17c/O3r18vQrduBgwdmrX93Xf12LtXgK1bhWjQwGLAaNrUhC+/1GLqVAl27BCiQwcjKlc2QyBg8fAhDzt2CHH3Lg9ff61Fw4aOTb7pTS4kmZk8pKcD/v7OP7fKYMbAA8lQWgUh8hjg59bBHtv5ms32+afJf5pwBX5CHuoHC3Ex2dIBn4jXo1vlkrEKb84huwdRPDAMg6ERcnx2Oi1726pbKoyvpwDPhat87H8VEa0nUpUUfIyrR0t0BJEbV6/yodMBLVpYhG2LFkbMni2G0QgIrCTF6NE6CG3sEgwDaLX27/n77+sRGWnGd9+JsXixCNaJn5o3N2H2bBVat3Z8JcszTZ0ljEYDTJhQA127KhyOAs0PlmUx7rgS11K5YnNqI3+PTvh/9SoPSUmWx83Pj0XjxiWfbYHwDaLt3D5Kxo/6qcqEkzYuJySoi5e3qssgtlqMeJBpwiEXByduvKexczX6tnmAR6U8JQhX8/w5g6AgFhIr6RMaykKvZ+y0V716ZtSsaXGnunGDh0OHBGjZMmfDXfv2Rhw4oMKdOxk4eDAT//yT9f89ewonpgGAUSqVJZ9HyEnExsYW+28YjQwmTqyGo0cDAQCVKmmwePFthIcb8j7Qx1mzJgwLF1bI/tyqVSrmzr1bgi0iCIIgCMIdqFGjht22DRuE+PJLCW7csBS0i4tjEBXlj0uX0lGpUs7yNTGRQYcOcpQpw2LHDhV4LjIdu9x/QK/XY86cOThw4ACEQiEGDBiAIUOG5Ljvvn378PPPP+Pp06coX748xowZg1deeSXXc+d0Q5zNrFliHD1qmS49eCDFmDH1sG2bCtWrF7xEZU4ceqpDr7+TYLJ6RmoFCrCvSwgUQvdZTIiNjXX4b33lCjfHbpcuEpfcL2dTmGv3Fjz52pO0JlRf/zz7M48BHgwsAz8H3itnXH+7nQk4k2iZfM9o6o/367r/sr8n33sAOPZch867k7I/Cxjger9whBbAj76o1/7F6TT8cC0z+7OIB5zsGYaq/p7hvufp974o0LWX7LVLJCx0NotJOl2WZVqWS9r+J08Y9OolB58PrF6tdpmYBkrA5WPhwoW4fPkyFi9ejM8++wy//vor/v77b7v9Lly4gGnTpuGtt97CunXr0L17d0yaNAm3bt1ydZM5jB2rw6uvcq3Rjx/z0KGD3C6a1BEeZWYFIVqLaX8Rg7VtSrmVmC4MWm1WdSJryH+acCWlJXxEBFieQTMLnE5wbbaPBxlGjpgGgJ4l5Mfta7QME6GG1f03ssBvsepi/90bqQYsuZ7J2fZBXT+PEdMEUZKUKcNCqWSgt+qq4+MZiMUsgoLsrdNxcQw6dlSAYYCdO1UIDnatA4ZLlZpGo8H27dsxYcIE1KpVC61bt8agQYOwadMmu33/+usvtGnTBj169ECFChXQr18/NGnSBPv27XNlk+1QKIDff1fjtddSOduTknjo2lWB48cdzxygMbIY/E8KknUWCzcDYHmrYFQL8PyO99QpPicwoHx5c5Gt+QThKHZ+1M9dK6i3xXGDEZuHilDewyqdeipZwYlck9bq2yqYi7EM/YtARGsjSXk5HxMaUEVEgigI9eqZIBJlaYgXnDwpQFSUiROQCACpqQx69JDD35/FX3+pEBrqem9mlwrq2NhY6PV6NGjQIHtbVFQUrl+/DqORa7Hs27cvhg8fbncOvb7kq5yJxcA339zFwIHctqSnZy01/P13wQdJlmXx4fFUTgYCAPisoR/e8JJk/7b5p1u3NsID02gTHo5tgZfjLg5M3ELZPUqU/tVlEFmNePcyTDjyrPjGk633NThqM2n7plmAx6Y9JQhXI5MB/fvr8fHHUpw7x8euXQIsXizGO+9kvVfx8Qw0/3WrM2aIkZLCw48/qmE0Zn0XH88gLS2PH3AyLn2zk5KS4O/vD7HYMrAFBwfDYDBAqVRy9o2IiEDVqlWzP9+9exdnz55Fw4YNXdXcPBEIgMWLNXjvPe6grNUyGDBAlmPi8ZxYfkOFDXe5A22nihJ83MD9/SoLCpUbJ9wBWwv1uSQ9dCbXWDHuphlxyWrSzADoTu4eLqWUhG+XKnHV7eKpnJhpMGPyGe5I3qasGF0reYeRhCBcxYt80N26yTFhghQTJ2rRq1dWXxoZ6Y8tW7K01rZtQqSnM2jVyg+Rkf7Z/yZOdF0/69IsH7t27cIPP/yAv/76K3vbkydP0LNnT2zbtg1ly5bN8biUlBSMGjUKoaGh+OGHH8DLxcvcFVk+bGFZ4Ndfy+Cnn8pxtjMMi08+eYjevRNzPfZCGg9jrophYi3m2kpSM1Y20MJbVoKVSj7at48Ca3WNe/deRHAwiWrCtbAs0OWMBAl6S/+xor4WDfyL3/3o54cCLHloEfSNA0xYUq/kS6D7GueUPLx71SJqBQyLXc00CHJyXZ1F94VY/cRyUgHDYn1DLSrLvCapFkE4lZIOgHQGLpVtIpHIzmXjxWeJJOeZe3x8PD744APw+Xx8++23uYppwLU3xDoC9ttvgWrVNJg4UZItHFmWwcyZlSASheHDD3V2Lg5PVCZ8cTYBJtYymPsJGWzqEO72VdMcif7dulXIEdN165rQvHmV4mpaseMOkc8lhTdce6tnKfjjnmVF6JEwFG/WKNhqUFGu//DVeACWSeTA2qVQo4Y89wPcDG+49wBQnWUx+2E87qZn5Zk1sgxOmcLxfu3cnwFHr/220oDfjiVwtv2vrh/aNShfuEaXMN5y7wsDXbtvXnthcanLR2hoKDIyMmAwWJY+k5OTIRKJ4J9DycEnT55g9OjRAICffvoJgYGBrmqqw4wcqceyZRoIBFwLxPTpEkybJuFU4tGZWAw9mIxELdcy9tMrQW4vph3F1n+a3D2IkqQkCrzcSDXgutLy3PMZoFtlWvovCV5UTrRm1W01WCcFJ7Isi0mn0mC0Ol05Gd+rXPgIgsgZlwrqiIgICIVCXL58OXvbpUuXULNmTQhsQjbT0tLwv//9DwqFAkuXLkWpUqVc2dRC0aePAevWqSGRcDvnhQvF+OADKUz/Fd+ZdFKJszbpsyY28EOXSt7lU8myJKgJ98I2MPFkgh4mc/Euw9sGI7YuI0ZpiePZgAjn0L+6DNaZSO+kG3Es3jnBiTseaPGvTRXGr5r5e3zqU4Ig8selb7lEIkGnTp0wa9YsXLt2DYcPH8batWvRr18/AFlBi1qtFkCWRVqpVGLatGkwGo1ISkpCUlISMjMz8/qJEueNN4zYvFkFf3/uIL1mjQjDh8uw4ooKq25z85+2Ly/GZw29z4Jx/z4Pjx5ZHjGxmEV0NAlqouSoGShAoMjigpSuZznWY2fDsiy22gjqnpTdo0QJkfLRpaJNcOKtogcnqgxmfHGaG4jYqowYPSj4lCB8ApdPmz/88EPUqlULY8eOxcyZMzFy5Ei0a9cOANCpUyfs378fAHDgwAGoVCoMGjQInTp1yv43a9YsVzfZYV56yYQdOzJRujTXpWP7diEmjvIHdJYBvaofH8taBYPnhXnkbK3TzZubIKWxhShBeAxjZ6U+8bz43D6upBhwJ90i2IU8oKuXrUR5IsMiuTmpt8dpkKI1Femc31/OwGOV5RwCBpjVIgCMF/btBEHY4/JcEhKJBDExMYiJibH77vTp09n/L+kCLkUlKsqM3btV6NlTjsePLfMW9qYCWFIJGPUQcn8Wa9uWQqDYO5cDyd2DcEdahomw+5E2+/PxeD1G1y6e37J192hTTuK177sn8UoZMar48XE/I0sA683A+rsavFencEVX7qYZsegqd/X03doK1PSymBiCIHKHevZipEYNM3bvzkS1ajaWjzgZsLgyvo4shdrOztfkJphMwOHDtoLakMveBOE6osNtLNTxOqcFpVnDsiwVc3FTeAyDIbbBibdUhXoOWJbFp6eU0FstSIZLeZgU5X1ufARB5A4J6mKmQgUWLb56CpTjDqx4JsGCd0ohLs47lwMvXOAjPd1ybUFBZtSvT+XGiZKnQSkhZALLsxmvMWdbKp3J+SQDHmZazivmAx29pPqpNzCgugxWjwFupxlxohDBibsearHvCddtaHrTAPiLaHglCF+C3vhiZm2sCuueZwDvPQCqcQNf7t/no0MHBW7c8L7bkFO58TxSiBOEyxDyGDQJ4abPK44y5Jvv2wYfS0hkuRFhMj46VeROcBytnKgxsvjMJhCxZZgIfarSSgRB+BrUuxcj5xP1+OiEMuuD1AyMfghpPa6f3fPnPHTqJMfZs96VRov8pwl3xj4ftXPSpr3AzLLYRu4ebs+wSK7bx7Y4DVJ1BV9Jm38lg7MKwWeA2S0CKRCRIHwQEtTFRKLGhMH/pEBntZIslQK7/tCiTx/u4J2aykP37nIcOuQdojozEzhzhnstr75KgppwH1raCmonZ/o4laDHU7VFmMkEDNqXJ3cPd+PVsmJUVFj6Kp0J+P2uOo8jLMRlGDH/SgZn26hactQJ9s64GIIg8oYEdTFgMLMY9m8Knqi5fpkLXwpEwzAhli7VYORI7gCuUjHo00eOP/90eeIVp3P8uAAGg1VqwKomVKpUvMUzCMIRmoSIOP6z9zJMiFc7z4/aNhixYwUJ5FTcw+3g5VQ5sYDBiZ+eSuMYTEIkPHwaZV/xlyAI34B6+GJg6pk0HHvOtUK/V0eBPtWycp/yeMDs2Vp8/LGWs49ez2DoUBnWrfNsC4etuwdZpwl3Qy7koUEp7nvmLLcPk5nF9jgq5uIpDKwhA99qcnVDacTphLyfhb2PtNjziNt/f9nEn1IiEoQPQ2+/k/n9rho/XecGtrwSLsKXTbiWC4YBJk/W4auvuAOv2czgvfdk+PFH7pK0J/HvvySoCffHtsCLswITjz7XI0FjcffwFzJ4vRy5e7gr4TI+OthkX1l5O3e3D60xK02eNc1DRXiruiznAwiC8AlIUDuRS8l6jD+m5GwrL+fj19eCIeDlHKTyv//psWiRGjwed4nx88+l+PprMYohPW6x8vw5gxs3LD6JPB6LVq1IUBPuR8vw4glM3GqT3aNjRQkkAgpSc2fsghPva6DMJThx0dUMTppFHgPMbhHgldVuCYIoOCSonUSy1oRB/6RAY7IoYDEfWNsmGKUleQcbDh5swMqVaohEXPU8e7YEkyZJYPag9M221ulGjUwIDCyZthBEXrQI5QrqqymGXEVUQTGYWWx/wF116l2FLJfuTpuyYpSXW/ppjYnFpnv2VuqHmUZ8f5mbqWl4pBz1S3nuiiJBEM6BBLUTMJpZjDiUikeZ3KCmedGBiCpdsI62WzcjNm5UQS7niurly8V4910pDB5SZJD8pwlPIVjCR61Ay/PKAvn6zubHoac6pOos73CgiMGrZcV5HEG4A3wegyER3InPrzkEJ35+Ko1jNCkl5mFyIwpEJAiCBLVTmHEuHf8+5fpfjqolx4Aa8lyOyJlXXzVh+3YVAgO5VrKNG0UYNEgGjSaXA90ElgUOHSJBTXgOtn7UJ4roR22b3aNrJSlEfHIF8AQG1ZDD2jPveqoR55IslowDT7TY+ZAbiDiNAhEJgvgP6gmKyNb7aiy4yl0CjA4T4ZtmAYU6X5MmJuzapUJ4OFdU790rxJtvypGeXuimFjs3b/Lw/LnlkZLLWTRr5vySzgThLJxZ4EVnYrHzoY27B1XM8xjKyvl2ucJX3soKMNeZWHxyklsRsXFpIQbV+H97dx9X4/0/cPx1ur9TIRFSmNBI/b60QiXkXhqb2zazMTNzb2Yzk7mbuR3G0Nyzyd3MPTON2RczkbuRUcjclLWU7s/5/dG3o6sTojqV3s/Ho8ejc67rOufzua5zrut9Ptf78/lIOo8QIpsE1IVw/n4GQ39NUDznYGHAqlaVMH5MJ8SCcHVVs3dvEs7OymD06FEjuna1Ii6udLZ45U33aNEiExNJLRSlWN6A+lRcOqmZz9cT+GBsKonpj7a1MzOgZTVJ9yhL3qqvDJC3XkshKRMWn0/iSuKju20qYLa3rXREFEJoSUD9nBIzIfjneB7muviaGMAa/8pUtSj8jIfOzhr27k3G1VUZVJ85Y0jHjpbcvFn6TuR5OyT6+Um6hyjdaloZ4Zhrprx0NfwR93yt1NvypHt0czZ/7Og+onRqW8OMGrnO3w8zNay5acysM8oZEfu7WOBRwP4xQojyQQLq55Cl1jDxkqli6CTIbrFoZl90J9lq1TTs2pVMs2bKwDQqypAOHay4cqX0HL709OwW9Nz8/SWgFqVfUaR9PMxUsydPfm13mcylzDEyUBGct3PiTWNFw0lFUxWf/Uc6IgohlEpPRFaGzIh4wG//KFuh33Kx4E2XZ+uEWBAVK2rYti2ZVq2Uw3zcvGlAhw6WnDlTOg7h778bkpz8qDWualU1DRuWofH+RLnVvAg6Jh64mUZSrqDLwcJAJ1AXZUNwPQuedGPhs/+zodJThkIVQpQ/pSMaK0N2xKQwO1J5+69ZFWNmetkW23taWcHGjQ/p2lUZVMfFGdC1qxX//W/Jn9zz5k/7+WUi6YWiLMgb+J64m06W+tnyqLfmmcylm7O55NeWUY5WRgTUyD/3vUllY53h9YQQAiSgfmY/xypv61Y1N2BN68qYFvPQWKamsHLlQ/r1U96OTkxU0b27Jfv3Gz1mS/3Imz8t6R6irHCxMaJyrqHPHmRoOHu/4AO/P8hQs/+GslVb0j3KtsfdbZztZYuh5MULIfIhAfUzmutty3RPGwzRYKSCVf6VcCiCTogFYWQEixalMHSo8uKdkqKib18Ltmwx1ks58kpIgFOnlPtAxp8WZYVKpdJppf7tGfKo915PVUz24WhlSLMqku5RlrV3NKOaufLyGFzPokj7yAghXiwSUD8jlUrF+y9b8XWjNOa3sNWZGKL43x+mTk3l00+VLeWZmSoGDjRnxQr9n/CPHDFCrX7UatOwYRYODs839JgQJcG72vPnUeedzOVVZ3NUku5RphkZqBjbpIL2cXULAyZJR0QhxBOUbJ5AGfYfWzX1nnEmxKKiUsHYsWnY2mr48EMzNJrsi7dGo2L0aHMSElSMGpWmtxxmGS5PlHXN8xnpQ6PRPDUwTkhTczBWRvd4Eb3TwJLqloYc/+s2g5o5UsW85PuqCCFKL2mhLsMGDkxn2bIUjIyUrcGff27GpElmaPTUSJy3Q6LkT4uypnElY6yMHgXPcalqxUQej7P7egrpuQazqVPBkCaVSyb1ShQtlUpFp1rmBNfMpKaVtD0JIZ5MAuoy7vXXM1i//iFmZsroecECU4YPNyermGf+jolRcfXqo5YbY2MNLVpIQC3KFiMDlU5+bEHGo86b7tG9toWkewghRDkkAfULoH37TLZsScbaWhlUr11rwttvW5D27MPqFtgvvyhbbpo1y8LKqvjeT4jiotMx8faTvzj3U7MIv6Vc51VJ9xBCiHJJAuoXRIsWWfz4YxJ2dsrJVLZvN6ZPHwuSk4vnffOme8joHqKsytvB+Gkt1DtiUsk1lwv1bYxwrSipAUIIUR5JQP0CcXdXs2dPMjVrKoPqn3825tVXLUlIKNr3U6t1W6glf1qUVU2rmGCc64wYk5TFreTH50xtyZvuUUdG9xBCiPJKAuoXTL16avbsSeKll5SBwIkTRnTqZMXt20V3wY+MNOD+/UcfIWtrDR4exZy0LUQxMTdS4VE5bx51/mkfd1Oy+PW2TOYihBAimwTULyBHRw179iTj5qYMbi9cMKRjR0uio4smqM47XJ6vbyZGcsdblGHNqxWsY+L26BRyz07eqJIx9WxkdA8hhCivJKB+QVWpomHHjiSaN1emYFy7ZkiHDlZcvFj4Q3/okDKAkPxpUdblzaN+XMfEvKN79JDWaSGEKNckoH6B2djAli3JtG+foXj+9m0DOnWy5OTJ55+oICUFjh1Tbi/506Kse8XehNz3by4kZPJPmrJPQmxylk7LtYzuIYQQ5ZsE1C84c3NYt+4hr7+uDAD++ceAbt0s+eWX5wuqjx0zIi3tUejh6KimTh31E7YQovSzNTXQGanjWJ486h+ila3T/2dnjHMFyXUSQojyTALqcsDYGJYuTWHgQGVgkJys4vXXLdmx49mDgfxmR5QBDsSLoPlThs/bdu2h4rG0TgshhJCAupwwMIBZs1IZOzZV8Xx6uor+/S1Yv/7ZOlTJ+NPiRZV3gpfcI31EP8jk5D1lCtWrzhJQCyFEeScBdTmiUsGnn6YxdarylrVarWLoUAsWLzZ5zJZK9+8bcfbso1QRlUqDn58E1OLF4F1N2UIdEZfBw8zsdKYf8nRG9LI3oaaVpHsIIUR5JwF1OfTBB+ksXPgQAwPlVOWffGLOtGmmaDSP2fB/Tp6soHjs5qamcuWnbCREGeFgYYhzhUc/GDM1aFul847uIekeQgghQALqcuuNNzJYteohJibKQHjWLDPGjTND/YT+hcePWyseS7qHeNHoTkOeRkyKisj7j9I9DFQQJOkeQgghkIC6XAsMzCQsLBlLS2VQvXy5Ke+9Z05Ghu42Go1uQO3vn8+KQpRhunnU6Ry4pxwRp0VVE6paPP/Qk0IIIV4cElCXc61aZbF9ezK2tsom6bAwE4KDLUhR3uHmyhUD7tx51HpnZqbBy0umGxcvlhZ5Wqh/v5vOvnvKXOnutS30WSQhhBClmATUgqZNs9i9O5lq1ZRB9b59xrz2miWJiY+eyzvduLd3JmZm+iilEPpTx9oQe/NHp8fkTA3RKY8eG6og0Fk++EIIIbJJQC0AcHVVs3dvEs7Oytbmo0eN6NrViri47EGmZbg8UR6oVCqdtI/cWlU3pbKZpHsIIYTIpveAOj09nenTp9OmTRs6dOjAmjVrHrvu5cuXefvtt/Hx8eHNN9/kwoULeixp+ePsrGHv3mRcXZVB9ZkzhnTsaEl0tIpff5WAWpQPeTsm5iajewghRPFLS4MRI8xxcrLGxaUCX331+IaOs2cNCAiwxMHBGj8/K06d0m+jh94D6gULFhAZGcmiRYv4+OOPWblyJfv379dZLyUlhZEjR9KoUSPWrFmDu7s7o0aNIjk5Wd9FLleqVdOwa1cyzZopA+WoKEP8/CqQmPhoOkQ7OzWNG8t04+LF9LgWamMD6FJLAmohhChuEyeaceKEIdu3JzFvXgqzZ5uxZYvuRHTJyfD665Y0bZpFeHgS3t6Z9OxpwYMH+iurXgPqlJQUtm/fzujRo2nYsCF+fn4EBwezadMmnXUPHDiAkZERI0eOpHbt2owaNQorKysOHDigzyKXSxUrati2LVln9I5//1XOLe7nl4mBJA2JF1SjisZYG6t0nm9TwwxbU/ngCyFEcUpOhjVrTJgxIwV3dzWdO2cyfHgay5frNnZs3WqMkRFMm5ZK/fpqZsxIxdpaw7ZtzzYLdGHo9aoQFRVFeno6TZo00T7n7u7OhQsXyMxUtoieO3cONzc3DP4XsalUKtzc3Dh79qw+i1xuWVnB998/JDDw8UPiyeyI4kVmaKDC0173xN1d0j2EEKLYnTtnSFoaipHEvLwyOXXKkDwhIydPGuHl9aiRT6WCV17J4sQJ/c1kq9eAOi4uDmtra0xNH+UmVqpUiYyMDBISEnTWrVKliuK5SpUqcffuXX0UVQCmprBixUOCg9PzXe7vLwG1eLHlzaM2M4SOtWR0DyGEKG63b6uoWFGjGEnM3l5DerpKO1BC7nWrVVPOqWFvr+HWLd27jMVFf6E7kJqaiomJssUn53F6errOusbGxjrrZuQ328j/REVFFVFJC0bf71dShg8HjaYm69dX0z7n4vKQ1NTLlJNdoFBejnt+ylvdAy0gsKXyudvRf3G7ZIpTosrbsc+tPNcdynf9pe76Ua9ePZ3nUlJUmObpG25qmh00p6Xlt64yoDYx0ZCW9oIG1CYmJjqBc85jszyDGZuamuoEz+np6Trr5ZbfASkuUVFRen2/krZoETRpksKcOaZYWKSxdKm6XNU/R3k77rmV17p/EZHI1+eTqGWaydbONcrl7Ijl9dhD+a47lO/6S91Ltu5mZhqdwDknQLawyG9dZfCcnq7CwkIZZBcnvaZ82Nvb8+DBA0WgHB8fj4mJCdbWyumsq1SpQnx8vOK5+Ph4KleurJeyCiWVCt59N52LFx8QFnYeDw+ZHVGUD+M9rInp58Aq97RyGUwLIURJcHDQkJCgInc77J072S3RFStqdNa9e1cZUN+5o6Jq1Rc0oHZxccHY2JjIyEjtc2fOnKFBgwYYGSkbyxs1akRkZCQaTfbO0Gg0nD17lsaNG+uzyCIPGdVDlEcGKv3dNhRCCAGNG2dhYgLHjz9qyDh2zAh39yzyhIw0bZrJ8eNG/C9kRKOBEycMdYYALk56DY/MzMzo1KkTX375JefPn+fw4cOsW7eOXr16AdkdEVNTUwFo3bo1KSkpzJ49m6tXrzJv3jySk5MJCAjQZ5GFEEIIIYSeWVhAnz7pjB1rzh9/GLJ7txGLFpkyeHB2k/WdOypSUrLX7dYtg+RkGDfOjD//NOCTT8x48EBF9+6P73dX1PTe3jhq1CgaNmzI+++/zxdffMHAgQO1QXKnTp346aefALCysmLevHlERkby5ptvEhkZybx587C0tNR3kYUQQgghhJ5Nm5aKh0cWgYGWjB5tzocfpmqD5Pr1rdm6NXvwCmtrCAt7yPHjRvj5WXH8uCGbNiVToYL+yqrXTomQ3UodEhJCSEiIzrITJ04oHru6urJ27Vo9lUwIIYQQQpQWFhbwzTcpfPNNis6yhIR/FY//7/+yOHw4SV9F0yEZsUIIIYQQQhSCBNRCCCGEEEIUggTUQgghhBBCFIIE1EIIIYQQQhSCBNRCCCGEEEIUgiohIUF/08gIIYQQQgjxgpEWaiGEEEIIIQpBAmohhBBCCCEKQQJqIYQQQgghCkECaiGEEEIIIQpBAuo89u3bh6enJ+vXr1c8/95777FkyZLHbufp6akzdXppd//+fWbOnEmXLl3w8fHhtddeY/ny5aSmppZ00YqMp6en4i8gIIApU6aQnJxc7O/9xx9/4OnpSWZmZr7Lly1bxqBBg4q9HFCy+6E0e9r3uiwrL8e8NH/HS5tu3brp7K+cv/DwcLp168YPP/zw2G1zlj18+JCdO3fmu6yoPe81uThMnjyZzz77DCjdx/6HH36gW7du3Lp1C09PT27cuFHSRSoXjEq6AKXN/v37cXR0ZNeuXfTr16/A2+3evRsbG5tiLFnRunv3LoMGDaJ69epMnjwZBwcHrly5wpIlSzh69CjffPMNZmZmJV3MIjF9+nTc3d1Rq9XcuXOHGTNmMH/+fCZMmFCi5QoODqZXr156e7/Suh9E8Skvx7y81LMojBgxgvbt2+s8b21tzbx58x673apVqzA3Nwdg/fr1nDhxgi5duugsK2rPe00WULVqVXbv3k3FihVLuijlgrRQ55KYmMixY8cYNGgQV65c4dKlSwXe1s7ODmNj42IsXdGaNWsW9vb2LFy4kP/85z9Ur14dX19fli1bxr179/j2229LuohFxtraGjs7O+zt7WncuDG9e/fmp59+KuliYWFhodcfYaV1P4jiU16OeXmpZ1GwtLTEzs5O58/ExOSJ21WsWFHbyKLRaB67rCgV5poswNDQEDs7OwwNDUu6KOWCBNS5/Pzzz5iYmNC2bVtq1aqluKUFEBcXx5AhQ2jZsiVvv/02169f1y7LnfIRFxfH+PHjadOmDS1atCA4OJhTp07ptS5Pcv/+fY4cOUL//v0xMlLepKhQoQK9e/fmxx9/JCsri6VLl9K5c2dtnSMjI4H8b3flvh22bNkyJkyYwKxZs/D39ycwMJBVq1bprY5PkvfXenJyMlOnTqV9+/Y0b96c1157jZ9//lm7PG86z86dO7UtMwCXLl1i8ODB+Pj4EBQUxI8//qh4/R9++IEuXbrg6+vLpEmTSEtLA/Sb8pGfvPtBrVazdu1aXn31VXx8fBg8eDCXL1/WLvf09OSbb76hXbt2DB06lJ07dzJo0CBCQ0Np164dHTt2ZO7cuajVau02O3fupFevXvj4+PDmm2/yxx9/6K1+zyKnLitXrqRNmzZ06NCBvXv3cuDAAbp27UqbNm1YvHixdv20tDQWLVqkPa6jR4/m77//LsEaFEzeY67RaPj222/p3Lkz/v7+DB8+XOe8tmvXLvr27Yufnx9Dhgzh5s2bwNPPAQDh4eHa4//GG2/w3//+t5hrmO1ZvuOrV6/WuVO0ZcsW+vbtC0BSUhIhISH4+/vToUMHpk+f/th0ks2bNxMUFETLli3p27cvR44c0S6LjIxk0KBB+Pj44Ovry/Dhw7l7925RVrtIXbx4kVatWhEWFgY8SuvYuXMnoaGhnDlzBk9PT8Wyova0a3KOv//+m06dOvHVV1+xYcMGgoODtcvCw8Px9PTUBuNZWVm0adOGM2fOkJmZyYIFC+jSpQve3t4EBgayefPmZyrj5s2badeuHQEBAaxYsUKx7MiRI7zxxhv4+PjQs2dPxY+89957j9WrV/PBBx/g4+PDgAEDuHnzJtOmTcPPz48ePXpw+vTpZypLXnlTPhISEhg3bhx+fn4EBQWxZcsW7TGEx39GExIS8PLy0l4PNBoNbdu2Zc6cOdptZ82axbRp0xT1btmyJf7+/nzyySckJSUVqi5lgQTUuezbtw9vb2+MjIzw9fVl3759iovFrl278Pf3Z926ddSoUYNhw4blmz81adIkMjMzCQ0NZe3atVStWpWZM2fqsypP9Oeff6JWq3n55ZfzXe7u7s4///zDhg0b2LRpE59//jkbN26kQYMGfPzxx4qA6UkOHTqEoaEhq1at4tVXX2Xx4sVcvXq1KKvyzBISEti4cSMdOnTQPjdv3jyio6NZuHAh33//PR4eHkyfPp309PQCvd7QoUNxdnZm3bp1DBkyhJkzZypOhAcPHmT+/PnMnj2b8PBwtm/fXhxVeyb57YfQ0FDWr1/PqFGjWLNmDdWrV2fEiBGK4OHw4cMsX76c0aNHA3D+/HmuXbvGsmXLGDJkCGFhYRw7dgzIDlK//PJL3nzzTdatW8crr7zCyJEjuX37tn4rW0AXLlzg+vXrrFq1irZt2zJjxgw2bdrEvHnzeP/991m1ahVXrlwB4IsvvuDQoUOEhISwYsUKsrKyGDNmDFlZWSVci8fL75iHhYWxe/duQkJCWLlyJY6OjgwdOlTRjyI0NJSRI0eyZMkS4uPjFT8snuTy5cuEhITQv39/vvvuO4KCghg3bpziR1pxeNbveLt27YiOjuavv/7Srv/TTz/Rrl07AKZMmcK///7LsmXLmDdvHjExMXz++ec673vp0iXmzp3LqFGj2LRpE23btuWTTz7hwYMHJCcnM3r0aDw9Pfn+++9ZuHAhsbGxrFy5slj3xfOKjY1l1KhRBAcH07NnT8Wytm3b0q9fP15++WV2795drOV42jUZso/3iBEj8Pb2ZsSIEXh5eREVFcW///4LwKlTp1CpVJw5cwbI/qEA0KhRI1avXs3hw4eZMWMGmzdvpkuXLsyZM4d79+49UxkXLlzIxIkTWb9+vfaHxe+//85HH31Ep06dWLduHUFBQUycOJHz589rt125ciXdunVj9erVJCYm0r9/f+zt7Vm1ahW1atVi7ty5hdl9Oj799FPu37/P8uXL+fDDDwkNDdUue9Jn1NbWlgYNGmgbRKKionjw4IF2n+bUt3nz5sTGxjJ+/Hi6d+9OWFgYM2bM4OTJk2zdurVI61IaSUD9P/fu3SMiIgI/Pz8A/P39SUhI4OjRo9p1/Pz86NmzJ87OzowfP55///033xYXHx8fPvzwQ2rXrk2dOnV47bXXuHbtms5tspKSmJgIZLdG58fa2hrI/iVvZGREtWrVqFGjBkOHDmXSpEkFDqgrVKjAiBEjcHJyYsCAAVhbW2tPZvo0ZswY/Pz88PX1pV27dvz555+Ki4S7uzvjx4/HxcWFWrVqERwcTGJiYoFOqgcOHMDCwoJx48bh5ORE+/btGTFihGIfffjhh7z00kvazj9RUVHFUs+nedJ+0Gg0hIWFMXDgQHx9falduzYTJkzAyMhIcdEMCgrCycmJunXrAtmfkY8//hhnZ2cCAwOpV68eFy5cAGDjxo28/vrrdO7cGScnJ4YOHUq9evW0LV6ljVqtZuzYsTg6OhIUFERKSgrvvvsuL730Ej169MDKyoro6GgSExPZs2cPY8aMoWnTprz00kt8/vnn3Lx5U28tsAX1tM/+2rVr+eCDD2jWrBnOzs6MHTsWQ0NDxR2a3r174+npiaurKz169NAe36dZv349Xbt2pVOnTtSsWZMePXoQEBDAxo0b9V7PJ33HHRwccHNz4+DBgwDEx8dz+vRpAgICuHnzJuHh4YSEhFCvXj0aNmxISEgIhw4d4s6dO4oy3Lp1C5VKhYODAw4ODrz11lvMmjULY2NjUlJSeOuttxg4cCA1atSgSZMmtG7dukQaGGbPno2fn5/iL/cdt4SEBIYPH067du0YOHCgzvZmZmaYm5tjZGSEnZ1dsZWzINfktLQ0xowZQ506dfjkk08AqFOnDvb29kRERAAQERFB8+bNtXdXjx8/jqenJ4aGhtStW5cJEybQuHFjatSowVtvvUVWVhYxMTEFLueECROoX78+vr6+9O7dWxs4btq0iVatWtGnTx+cnJzo27cvrVu3Zu3atdptvb29CQgIoE6dOvj4+GBpacmgQYOoXbs2gYGBREdHF2of5hYTE8OJEyeYOHEiLi4utGjRQnGH9GmfUS8vL21AnbNPo6KiSElJ4c6dO9y4cYNmzZqRlZXF6NGjefXVV6levTpeXl54enqWeGOaPkinxP/Zv38/BgYGtGjRAsj+9VqlShV27dql/UK7urpq17e0tKRWrVpER0fj4+OjeK0ePXqwf/9+IiMjiYmJ4c8//wQeBaglLSdgjo+Pp2rVqjrLcwLJZs2asX//frp3746rqys+Pj4EBgYWuA4ODg6K3C1LS8sS6RE9fvx43NzcAHjw4AF79+7lnXfeYeXKlTg5OdGpUyd++eUXfvjhB2JiYrRBf0F+OFy7dg0XFxdFPXMu5Dknn5o1a2qXWVlZFajluzg8aT9YWVmRmJhIo0aNtOsbGRnRsGFDxUndwcFB8Zq2trZYWVlpH+c+xtHR0bz99tuK9Rs3bsy1a9eKumpFwsbGBktLSwBMTU0BZX1NTEzIyMjg+vXrOnd4bGxscHJyIjo6mpYtW+q34E/wpGNepUoV7t69y2effYaBwaO2lfT0dEXaR+7P77N8h69du8Zff/2lSIHKzMxUnEeLSmG/4+3btycsLIx3332XgwcP0rBhQ2rUqMGRI0fQaDQEBgbqvGdMTIzie+/t7U2TJk0IDg6mbt26+Pj40K1bN8zMzDAzM6NLly5s2LCBy5cvc+3aNaKiohTfN30ZOHAgbdq0UTyX+/iHhoaSkZFBtWrV9F00hYJckzdv3kxGRgY9e/ZUHItXXnmFU6dO0bRpU2JiYnj//feZPn06gKIzZatWrTh+/Djz589XXKsL2mhkYmLCSy+9pH3coEED1q1bB2Sf/7p166ZY383NjW3btmkf16hRQ/u/qampYp+bmZmRkZFRoHIUxJUrV7C0tMTJyUn7XOPGjbX/29nZPfEz6uXlxebNm1Gr1Zw6dYq2bdvy119/cfbsWe7cuYObmxtWVlZYWVlhYmLCihUruHr1qvYv547Pi6zko7tSYv/+/WRmZhIQEKB9Tq1W8+uvv5KQkACASqVSbKNWq3U6IqrVaj744AMSExMJCAjAx8eHjIwMPvroo2KvQ0G5urpiaGjIxYsX8w2oL1y4gK2tLfXr12fNmjX8/vvvHD16lG3btrF582ZWr16tsy8Andvd+XXSLIlW+ipVquDo6Kh97Orqym+//cb27dsZPnw4ISEhnDlzhk6dOtG9e3fs7Ox45513Hvt6uQOKgvy4yH2xgpLZB/Dk/ZA38M2hVqsVxzUn0MzxpGOcd92c1yvoxUrf8juW+X3OH9d5Kysrq9SlfDzpmA8YMACAadOmUbt2bcV2ue9ePa6z9dPOAVlZWfTr14+uXbsq1nla57fnUdjveE4+6F9//cXBgwe1o2BkZWVhbm6uDZJys7OzU7TWm5mZ8fXXX3P69Gl+/fVXfv75ZzZt2sSyZcuwsbGhf//+1K9fHy8vL4KCgjh69Kjilrm+2NraKvZVXp6enrRs2ZKFCxcSEBBAlSpV9Fi6RwpyTa5bty4DBgzg448/pmvXrri4uADZwd/KlSuJiIigYcOGeHh4EB8fz9WrVzl37hxTp04FYMmSJWzbto2uXbvSsWNHxo0bpxMEP0l+MUHOeSS/z3lWVpbi/Je3s2Dea0VBxcfHk5SUpAiW8752fh0Tc1+L7t69+8TPaKNGjVCr1URFRREREcHw4cNxd3cnMjKS6OhovL29gexUr5w8bHd3d/r27ct33333XPUqayTlA7h+/ToXL15k1KhRrFu3Tvs3d+5cMjMz2bdvH4Aix+7Bgwdcv34dZ2dnxWtdu3aNiIgIFi5cyNtvv03Lli2Jj4/XZ3WeytbWljZt2hAaGqrT2pSUlMSGDRvo2rUrx44dY9u2bXh7ezN27Fg2bdrEw4cPOX36tPakkTu/NjY2Vq/1KAyNRkNmZiZJSUns27ePKVOmMHjwYPz9/bUpMTknG2NjY0U9b926pf2/Vq1aREVFKU6SU6ZMYenSpXqqSeHk7AcrKyvs7Ow4d+6cdllmZiZ//vmn4iT9LJycnBSvB3Du3Lnnfr3SwtHREUNDQ0UuZEJCAjdu3CgTdcs55hUqVKBSpUrExcXh6OiIo6Mj1atXZ/HixQXKc37aOcDJyYlbt25pX9vR0ZE9e/YQHh5e5HXKz7N8x21tbfH09GTPnj2cO3dO24Lr5ORESkoKarVaWweA+fPn63RMjIyMZMWKFXh4eDBs2DDCwsKoVKkSv/32G+Hh4VhaWjJ//nx69+6Nh4cHsbGxpSYNMDdfX1+CgoKoVasWX331Vb7r5PdjqigV9Jrs5eVFq1at8PHxYebMmdr9mZNi8Msvv+Du7o6ZmRkNGjRgxYoVODs7a38kbN26lTFjxjBs2DDatWtHSkoKUPBGj7S0NG0nXcjuU5ITEzg7OyvOEQBnz56lVq1ahdo3+Vm3bp2ig2BSUhK2traKdWrXrk1ycrLi7lNOizzw1M+okZERTZs2ZcuWLZiYmFCjRg3c3d2JiIjgxIkTNG/eHIA9e/bg5ubG1KlTee2113B1deXGjRul8rNe1CSgJvuXcIUKFejevTt169bV/rVo0QI3Nzd27doFZOfLbtu2jatXrzJlyhRq1qyp6CEL2bf0DQwMOHDgAH///TcHDx5k2bJlACV2qz8/I0eOJCUlhWHDhnHq1Clu377Nb7/9xuDBg6latSqDBg1Co9GwYMECDh48yK1bt9i3bx9paWm4uLhQp04dTE1NWb58ObGxsaxfv77YOxs9r8TEROLi4oiLiyM2NpZvvvmGmzdv0rZtW20+YHh4OLdu3eLYsWPMmjULQHu7zdXVlQ0bNnD9+nWOHDmi6GneoUMHHj58qO2stG/fPm1HmtLmSfsBoF+/foSGhnL48GGio6OZPn06qampz32rrl+/fmzevJldu3YRExPD119/zeXLl5+pBag0Mjc3p3v37syZM4eTJ09y5coVQkJCsLe3L3XH/WnHvE+fPixdupTw8HBu3LjBl19+yYkTJ3RarPPztHNAnz59OHjwIBs2bODGjRts2bKFlStXKm5z66OeBfmOQ3bax8aNG3F3d9fmBteuXRtvb28mTZrEuXPntB0t79+/r5M/bGZmRmhoKFu3buXWrVscPnyYu3fv0rBhQ2xsbLh37x7Hjx8nNjaW1atXc+jQoRK5JiQnJ2v3Ve6/3D8QDAwMGDNmDAcOHMh3wjILCwvtvi4OBb0m5xgxYgSXL19mx44dQHZaY8OGDdmzZw/u7u4AeHh4cODAAcV31MbGhl9//ZXY2FjOnDlDSEgIUPBrtYGBAZMnT+bSpUscPHiQsLAw7VjZffv25dChQ3z33Xdcv36d7777jvDwcF5//fVC7h1dHh4eREREcPz4cc6fP8/WrVt1YhMnJye8vLyYNm0aly9f5sSJE9rYBCjQZ9TLy4tdu3Yp9unJkycxNDSkXr162tfJuRNw/fp15s+fz4ULF4o0faW0kpQPsr+87du3z/cWdY8ePZg0aRI2Njb07t2bHTt2MGfOHBo3bsysWbN0btFUrVqVjz76iG+//ZYlS5bg5OTEmDFjtF86Dw8PfVXriezs7Pj2229ZuXIlkydP5v79+1StWpX27dvzxhtvYGZmho+PD++99x4LFiwgLi6OmjVrMnXqVG0r3IQJE1i8eDHbt2+nVatW9OrVq1QOA5XTWQWy0xDq1avHF198oc25nDx5Ml999RWbNm2ievXqDBgwgOXLl3Pp0iXq1q3L2LFjmTZtGn369KFBgwYMHjyY5cuXA9k/oObNm8fcuXPZtm0bVatW5dNPP8XNza3UDRH3tP3Qp08fkpOTmTFjBklJSTRu3JilS5dSuXLl53q/1q1bExcXx7Jly4iPj8fFxYWFCxdqOzSWZcOGDQOyc3czMzNp1qwZixcvzvccUpKedsyDg4NJTU1l1qxZJCYmUr9+fRYsWFCg2/xWVlZPPAc0btyYzz//nNDQUL7++mscHByYOHFiseSYF/Y7Dtn5tNOnT9f5ATl58mTmzJnDsGHDUKlUeHp6MnbsWJ0yuLi4MGnSJFasWMHcuXOxs7NjxIgReHp6kpWVRUREhLacrq6ujBo1iiVLlpCamqrXSbS++uqrfFue806a4ubmRocOHZg9e7bOLIX+/v5s3bqV3r17F8uoRQW9Jjdp0gTIzkXu168fixYtws/PDxsbG7y8vLh48aL2M+Dh4cHatWsVAfXEiROZOXMmvXv3xs7OjqCgIIyMjLh8+bJO36j8VKhQAV9fX95//32MjY0ZNGgQrVu3BrKP8ZQpU1i2bBmLFi3CycmJ6dOn88orrxTFLlLw9fWlX79+hISEkJqair+/P2+99Rb3799XrPfZZ58xbdo03nnnHW3OdE4nybZt2z71M+rl5UVGRoY2oK5duza2trZ4eXlp71r06tWLS5cuMWzYMIyNjfHw8GDgwIHs3bu3yOtd2qgSEhJe/HZ4IYQQ4gn+/vtvevbsye7dux87ApIQZVVqaqo2NSMnXeunn35i4cKFpWIo1xeBtFALIYQot1JSUvjtt9/YsWMH/v7+EkyLF5KJiQlTpkyhe/fuBAYGEh8fT2hoqM6IL+L5SQu1EEKIcis1NZXOnTtTrVo15s2bh729fUkXSYhicfr0aRYsWEBUVBSWlpZ07NiRIUOGFMvIO+WRBNRCCCGEEEIUgozyIYQQQgghRCFIQC2EEEIIIUQhSEAthBBCCCFEIUhALYQQQgghRCFIQC2EEEIIIUQhSEAthBBCCCFEIfw/a2QNCeekbk8AAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#2-axis plotting to establish relationship between overal CCVI index and Fragility index.\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Fragility'])\n", - "ax1.set_ylabel('Fragility')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'b-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='b')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('b')\n" - ] - }, - { - "cell_type": "markdown", - "id": "1a6aaf93", - "metadata": {}, - "source": [ - "Inverse correlation is observed between Fragility index and Overall CCVI index in almost all the top 10 states being considered here. While Osun, Benue and Ekiti all had lower Overall CCVI index with a correspondingly higher Fragility index, Abia, Bauchi, Imo, Bayelsa, Akwa Ibom and Jigawa states all had higher Overall CCVI index with correspondingly lower Fragility index. Only Borno showed equal Fragility and Overall CCVI indices. It is therefore inferable that Fragility alone can be responsible for the recorded impact of the covid crisis in Borno. This is however not applicable to other members of the top 10 states where Fragility alone may not be responsible for the recorded impact of covid crisis." - ] - }, - { - "cell_type": "markdown", - "id": "1b05f7bd", - "metadata": {}, - "source": [ - "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset.\n", - "\n", - "#Generating a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", - "\n", - "#Also will Provide a summary of your observation" - ] - }, - { - "cell_type": "code", - "execution_count": 355, - "id": "79236f5a", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Regression plot between Confirmed cases population density of top 10 states.\n", - "# regplot\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=Top10_NCDC_external).set_title('Confirmed Cases and Population Density')" - ] - }, - { - "cell_type": "markdown", - "id": "eaf3d582", - "metadata": {}, - "source": [ - "For the top ten (10) highest confirmed cases, it is generally observed that there is higher uniformity in distribution of confirmed cases across most population densities in states in Nigeria. However, a few outliers (exception to this case) exists: There are five occurences which are above the common distribution value across states and there are five occurences which are below the common distribution value in states of various population densities. " - ] - }, - { - "cell_type": "code", - "execution_count": 430, - "id": "6faecbce", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Regression Plot for Lab confirmed cases vs population density for all states\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=NCDC_external).set_title('Confirmed Cases and Population Density')" - ] - }, - { - "cell_type": "markdown", - "id": "2e596b41", - "metadata": {}, - "source": [ - "The general trend indicates that higher record of Lab confirmed cases is associated with higher population densities across all states. There are also many outlier cases that does not align with this trend i.e does not show that higher or lower confirmed cases connected with higher or lower pouplation densities." - ] - }, - { - "cell_type": "code", - "execution_count": 131, - "id": "96eb987a", - "metadata": {}, - "outputs": [], - "source": [ - "# Further analysis on other indicators: Recovery rate\n", - "JH_Daily_Recovery_Nigeriadf['Recovery Rate'] = JH_Daily_Recovery_Nigeriadf['Recovered Cases'].diff()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 132, - "id": "a243f893", - "metadata": {}, - "outputs": [], - "source": [ - "# Further analysis on other indicators: Death rate\n", - "JH_Daily_DeathsNigeriadf['Death Rate'] = JH_Daily_DeathsNigeriadf['Death Cases'].diff()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 139, - "id": "cb091148", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Recovery Rate in Nigeria')" - ] - }, - "execution_count": 139, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Further analysis on other indicators: lineplot of Recovery rate \n", - "plt.figure(figsize = (20,10))\n", - "sns.lineplot(x = 'Date', y = 'Recovery Rate', data = JH_Daily_Recovery_Nigeriadf).set_title('Daily Recovery Rate in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "544b3271", - "metadata": {}, - "source": [ - "The highest recorded rate of recovery of 11188.0 was made on 2020-08-04 while the lowest was -165208.0 on 2021-08-05." - ] - }, - { - "cell_type": "code", - "execution_count": 140, - "id": "d727aa53", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "11188.0" - ] - }, - "execution_count": 140, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Highest recovery rate\n", - "Highest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].max()\n", - "Highest_recovery_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 141, - "id": "dc8e69c8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateRecovered CasesRecovery Rate
1952020-08-043185111188.0
\n", - "
" - ], - "text/plain": [ - " Date Recovered Cases Recovery Rate\n", - "195 2020-08-04 31851 11188.0" - ] - }, - "execution_count": 141, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == 11188.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 142, - "id": "e315403a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-165208.0" - ] - }, - "execution_count": 142, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Lowest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].min()\n", - "Lowest_recovery_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 143, - "id": "f911ea90", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateRecovered CasesRecovery Rate
5612021-08-050-165208.0
\n", - "
" - ], - "text/plain": [ - " Date Recovered Cases Recovery Rate\n", - "561 2021-08-05 0 -165208.0" - ] - }, - "execution_count": 143, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "\n", - "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == -165208.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 144, - "id": "a02231ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Death Rate in Nigeria')" - ] - }, - "execution_count": 144, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Further analysis on other indicators: Seaborn's lineplot Death rate\n", - "plt.figure(figsize = (15,5))\n", - "sns.lineplot(x = 'Date', y = 'Death Rate', data = JH_Daily_DeathsNigeriadf).set_title('Daily Death Rate in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "73b25263", - "metadata": {}, - "source": [ - "There was a spike in the death rate in Nigeria on 2021-08-29 with a record high of 93.0. The reason may be because that relaxed perventive measures with apparent ease of local restrictions. The lowest death rate of -4.0 was recorded on 2022-06-10 perhaps due to the success at global control the corona virus, especially in year 2022." - ] - }, - { - "cell_type": "code", - "execution_count": 145, - "id": "c4596cbc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "93.0" - ] - }, - "execution_count": 145, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Highest_death_rate = JH_Daily_DeathsNigeriadf['Death Rate'].max()\n", - "Highest_death_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 146, - "id": "34e9077c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateDeath CasesDeath Rate
5852021-08-29245493.0
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" - ], - "text/plain": [ - " Date Death Cases Death Rate\n", - "585 2021-08-29 2454 93.0" - ] - }, - "execution_count": 146, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] == 93.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 147, - "id": "421c5844", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-4.0" - ] - }, - "execution_count": 147, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Lowest_death_rate=JH_Daily_DeathsNigeriadf['Death Rate'].min()\n", - "Lowest_death_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 148, - "id": "e79bfc0f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateDeath CasesDeath Rate
8702022-06-103144-4.0
\n", - "
" - ], - "text/plain": [ - " Date Death Cases Death Rate\n", - "870 2022-06-10 3144 -4.0" - ] - }, - "execution_count": 148, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] ==-4.0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "55dfb36f", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 150, - "id": "0d3d5777", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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uqcd27tyJ6Oho64Auf39/tGrVCk2aNMHp06fL1VJtYXnsr1y5gujo6FKPszz+FkX/ibFV1nPhblX2darVasyYMQOvvPIKPvjgAzz44IMOXc4VrwdlPbYWkiRh48aN2LJli/VvombNmmjdujUaNmyI+Pj4u3o+EFU2BlsiJzt8+DA0Gg1atGhh1wJncf36dZw4cQK7du1CVFQU/Pz8oNPpkJ+fX+wNxxKKLCxvTjNmzMBTTz11V/X98ccfmD59OkJCQjBnzhy0bt0aDRo0gEwmw3//+18cO3bsrq7X8kZsCTJF3c3H2JXF0rf3q6++uuMCGZbHuOhjD5hbd00mU5mhs7TrK210fVZWFgDYDdZzh0OHDmHBggVo3LgxpkyZglatWllbTT/++GOcPn36rq7X8tg/+uijePfddyut3qrgwQcfxKBBg7Br1y4sX77coT7mrn49KM3WrVuxatUqtG3bFiNHjkTLli2tAyRnzZpl/SSCyN3Yx5bIySzdEF577TXMmDGj2Nc777wDpVKJY8eO4ebNm9bwW9KUWLGxsXa/W0aZF+2PCZg/Jl6xYgW2bt1aZkvK999/D5PJhGnTpqF///645557rKskWT6mv5uWGLVajXvvvRcJCQnFlrC9ffs2rl27Vu7rrCxlPW43btzAsmXLcOjQIQCw9jktaUnfY8eOISoqCl988QUAx1r0LLd99uzZEvdbAmPjxo3veF3O9O233wIwT5PWq1cvu64Aly5dAmD/vHC0NbNRo0ZQKpX4+++/S+zK8PXXXyM6OhppaWkVKd9jvfbaawgJCcGuXbsc+ufA1a8Hpfn2228hk8nw4YcfIioqym7WD8vzgcgTMNgSOVFKSgp+//131K5d2zrgpqjAwEBERUXBaDTaTQe0evVquxaZhIQE7Ny50+6ybdu2RYMGDbBnz55ib5JffPEFNm/ejNOnT5cZOixLdxZdOercuXPWj+ot/U7Lq3///tBqtVixYoXdm+natWvLNcduZevXrx9EUcTatWvtWk5NJhOWLl2Kbdu2WT9+b9++PerUqYPvvvvOLjAYDAbrzAWdOnUCAOuAuLL6YNatW9c6QOzLL7+02/f999/j+PHjuO+++6whxV1Ke14cPnwYP//8MwD750Vp910ul9ttUyqVePTRR5GYmFhs2qy4uDgsW7YMX3/9NQICAirvzngQf39/TJs2DUDhqnhlcfXrQWnUajVMJlOxT1q2bduGhIQEAHf/OkFUmdgVgciJ9u/fD5PJhMcee6zMteIHDRqEQ4cOYffu3XjxxRcxZMgQbN++Hc899xy6dOmCnJwcHD58GL6+vsjNzbVelyiKmDt3LiZPnoyJEyciKioKDRo0wD///IMTJ04gJCTEOuF6aXr37o2tW7fiww8/xJkzZxAaGopLly7h+PHjCAwMRH5+vvXj8fIaNmwYfvrpJ3z99df466+/0Lp1a5w/fx5//fUXateuXawfpas0aNAAr7/+Oj788EMMGzYM3bp1Q2BgIH799Vf8888/eOCBBzB48GAA5mA2e/ZsvPHGGxg7dix69OiBkJAQ/PLLL7h06RLGjBmDe++9FwCsg51WrFiB9u3bY+zYsSXe/owZMzB27Fh8+OGHOHr0KJo1a4ZLly7hl19+Qc2aNTF//nzXPBBlePzxx3HgwAHMmDEDffr0QY0aNfDXX38hJiYGtWrVQkZGht3zoqT7rlQqUbduXSQnJ+P9999Hu3bt0K9fP0yePBnnzp3Dxx9/jJ9//hkRERHIyMjA4cOHYTKZMHPmzHJ176hqevbsiUceeQSHDx++47EREREufT0oTb9+/RAbG4vx48ejV69eUCqVOHv2LOLi4hAUFFTs+UDkLmyxJXIiy+pH/fr1K/O4Tp06oU6dOrh27RpOnjyJN954A2+++SZUKhV27tyJU6dO4fnnn8fo0aMBFLamAeb5cDds2IA+ffrg3Llz+PLLL5GUlITBgwdj/fr1xSa6L6pZs2b46KOP0LJlS/z000/45ptvkJKSghdffBFffvklVCoVTpw4cVf3X6FQYMWKFXjhhReQnp6OHTt2QKfTYdmyZWjQoMFdXWdlGTp0KP7zn/+gRYsW+N///ocdO3ZAkiRMnDgRy5Yts+vPGBkZiejoaDz00EM4ceIEtm/fDplMhhkzZtgNxnrmmWfQuXNn/P3339ixY0exVcQsGjRogE2bNmHw4MG4cuUKvvrqK1y6dAlPP/00tmzZgvvuu8/p9/9OOnfujAULFqBhw4b4/vvvsWfPHuTm5uK1116zDvqyfV6Udt+nTZtmbUW0/D3UrFkT69atw4gRI5Ceno7t27fjt99+Q6dOnRAdHY2oqCjX32EXmzp1qsOt0q58PSjNM888g7feegs1a9bE7t278d1330EURbz99ttYsGABANz16wRRZRIyMzM5jJHIg6SlpUEul9utrGRhmWR9/fr1Dk8QT0RVF18PiMqHLbZEHua7777Do48+ih07dthtz8jIwJ49exAQEICmTZu6qToiciW+HhCVD1tsiTxMSkoKnnvuOeTm5iIqKgrh4eHIysrC0aNHkZWVhXnz5hVb6IGIvBNfD4jKh8GWyAMlJydj06ZNOHnyJNLS0uDn54f7778fI0aMQIcOHdxdHhG5EF8PiBzHYEtEREREXoF9bImIiIjIKzDYEhEREZFXYLAlIiIiIq/AYOsCluUGqWrjefQOPI/egefRO/A8egdPOo9uC7Y6nQ7PPvssTp48ad12/fp1TJo0Cd26dcOQIUNw/Phxu8vExMRg+PDhiIqKwssvv4ykpCS7/V9++SUGDBiAHj16YP78+dBoNC65L0RERETkfm4Jtvn5+Zg1axYuXrxo3SZJEqZOnYrAwEBs2LAB/fv3x/Tp03H16lUA5rn8pk6dir59+2Ljxo0IDg7G1KlTYTKZAABHjhzBmjVr8NZbb2HVqlU4f/48PvroI3fcPSIiIiJyA5cH24sXL2L06NFITk622x4TE4MrV65gxowZaNy4MUaNGoU2bdpg9+7dAICdO3eiadOmGDlyJBo3bozZs2cjNTUVMTExAIBt27ZhyJAh6NatG1q1aoV///vf2LdvH/Ly8lx9F4mIiIjIDVwebM+cOYNOnTph3bp1dtvj4uLQrFkz+Pn5Wbe1bdsWsbGx1v3t27e37lOr1WjevDliY2NhNBrx559/2u2PiIiA0WjE33//7eR7RERERESeQO7qGxw8eHCJ29PS0hAaGmq3LSgoCKmpqdb9ISEhJe7Pzs5Gfn6+3eXlcjkCAwOtlyciIiIi7+byYFsarVYLhUJht02pVEKv11v3K5VKu/0KhQI6nQ75+fnW34vut1y+JK4cxedJIwbp7vE8egeeR+/A8+gdeB69g6vOY9OmTcvc7zHBVqVSITc3126bTqeDWq0GYA65Op3Obr9er0dgYKA18BYNsXq9HiqVqtTbvNODU1kSEhJcdlvkPDyP3oHn0TvwPHoHnkfv4Enn0WPmsQ0NDUV6errdtoyMDAQHBwMAateuXWx/eno6QkJCEBgYCJVKZbffYDAgKyurWPcFIiIiT3YwWYOB395Em69uYOC3N3EwmVNXVkU8j+7hMcE2IiIC8fHxdnPPnjlzBhEREdb9Z8+ete7TarWIj49HREQEZDIZWrZsiTNnzlj3x8bGQhRFNG/e3GX3gYiIqCIOJmsw7UQWUjRG1FIKSNEYMe1EFkNRFcPz6D4eE2w7dOiAunXrYt68ebhw4QI2btyIuLg4PPnkkwCAgQMH4o8//sC6detw8eJFvPvuu6hTpw46duwIAHjmmWfw+eef48iRIzh//jwWL16MgQMHwtfX1433ioiIyHHLY3OglAG+chkEQYCvXAalzLydqg6eR/fxmD62oihiyZIlePfddzFq1CjUr18fixcvRlhYGAAgLCwMixYtwrJly7B+/XpERERgyZIlkMnM2fzRRx/F9evXsWjRIuh0OvTo0QOvvfaaO+8SERFRuSTmmFv4bPmIAhJzjG6qiO4Gz6P7uDXY2i6nCwANGzbE2rVrSz2+c+fO6Ny5c6n7R40ahVGjRlVafURERK4U7i8iRWOEr7wwFGmMEsL9RTdWReXF8+g+HtMVgYiIqLqb3NofOhOQZzBBkiTkGUzQmczbqergeXQfBlsiIiIP0aeBDz54KBB1fETc0kmo4yPig4cC0aeBj7tLo3LgeXQfj+ljS0REROZQxABU9fE8ugdbbImIiIjIKzDYEhEREZFXYLAlIiIiIq/AYEtEREREXoHBloiIiIi8AoMtEREREXkFBlsiIiIi8goMtkRERETkFRhsiYiIiMgrMNgSERERkVdgsCUiIiIir8BgS0RERERegcGWiIiIiLyC3N0FUNV2MFmD5bE5SMwxItxfxOTW/ujTwMfdZREREVE1xBZbumsHkzWYdiILKRojaikFpGiMmHYiCweTNe4ujYiIiKohBlu6a8tjc6CUAb5yGQRBgK9cBqXMvJ2IiIjI1Rhs6a4l5hjhIwp223xEAYk5RjdVRERERNUZgy3dtXB/ERqjZLdNY5QQ7i+6qSIiIiKqzhwePHbp0iXExMTg2rVryMnJQc2aNVG3bl089NBDqF+/vjNrJA81ubU/pp3IAgwm+IgCNEYJOpN5OxEREZGr3THYHjp0CBs3bkR8fDwkSUKNGjWgVquRnZ0NrVYLQRDQvHlzjB49Gt27d3dFzeQh+jTwwQcPgbMiEBERkUcoNdjeuHEDc+fOxcWLF9GzZ0+8+uqraNWqFfz9C1vjbt++jdOnT+P48eOYO3cu7rvvPsybNw9hYWEuKZ7cr08DHwZZIiIi8gilBtuxY8di2LBhWL58OZRKZYnHBAQEoHv37ujevTtee+01bN++HePGjcPevXudVjARERERUUlKDbYbN25EUFCQw1fk6+uLF154AQMHDqyUwoiIiIiIyqPUWRHKE2ptBQcH33UxRERERER3q9QW2927d5frigYNGlThYoiIiIiI7lapwfa9996z+10QzBPxS5JUbBvAYEtERERE7lVqsN25c6f154sXL2LmzJkYOXIkHnvsMYSGhiIzMxP/+9//EB0djfnz57uiViIiIiKiUpUabOvVq2f9eebMmRgxYgRGjx5t3Va7dm0MGTIEWq0Wy5cvx0MPPeTcSomIiIiIyuDQkroJCQm4//77S9zXpEkTJCUlVWpRRERERETl5VCwDQsLw9GjR0vc99133yE8PLxSiyIiIiIiKq87LqkLAM899xzee+89ZGRkoHv37qhVqxbS09Nx4MABxMTEYMGCBc6uk4iIiIioTA4F20GDBsFgMOCzzz6za7mtV68e3n33XfTs2dNpBRIREREROcKhYAsAgwcPxuDBg5GYmIisrCzUqlULDRs2dGZtREREREQOc6iPrYVOp0NGRgZu3LiBwMBApKSkOKsuIiIiIqJycbjFdseOHVi9ejWys7MhCAI2bNiAVatWAQAWL14MtVrttCKJiIiIiO7EoRbbffv2YfHixejVqxeWLVtmXX2sf//+OHv2LD799FOnFklEREREdCcOBdvNmzfj6aefxowZM9CpUyfr9sceewxjxozBoUOHKq2g27dv4+2330bv3r3Rv39/rFy5EkajEQBw/fp1TJo0Cd26dcOQIUNw/Phxu8vGxMRg+PDhiIqKwssvv8z5dYmIiIiqEYeCbXJyMqKiokrc17x5c6Snp1daQYsXL0ZqairWrl2LefPmYd++ffj8888hSRKmTp2KwMBAbNiwAf3798f06dNx9epVAEBKSgqmTp2Kvn37YuPGjQgODsbUqVNhMpkqrTYiIiIi8lwOBdugoCAkJCSUuO/SpUsICgqqtIKOHTuGZ599Fk2aNMGDDz6Ixx57DDExMYiJicGVK1cwY8YMNG7cGKNGjUKbNm2we/duAMDOnTvRtGlTjBw5Eo0bN8bs2bORmpqKmJiYSquNiIiIiDyXQ8H20Ucfxbp16/Ddd99Bo9EAAARBQGxsLNavX4/evXtXWkGBgYH47rvvoNVqcfPmTfzyyy9o0aIF4uLi0KxZM/j5+VmPbdu2LWJjYwEAcXFxaN++vXWfWq1G8+bNrfuJiIiIqPJIkoQcvQkmCO4uxcqhWRHGjx+PCxcuYM6cORAEc/Hjxo1Dfn4+2rdvj3HjxlVaQdOnT8ecOXPQo0cPmEwmPPjggxg7diyWLVuG0NBQu2ODgoKQmpoKAEhLS0NISEip+4mIiIio4kyShGydhEydCXqTBFS1YKtQKLBs2TKcPHkSv/32G7KysuDv748HHngAnTt3tobdypCUlITmzZtjzJgxyM3NxQcffIDly5dDq9VCoVDYHatUKqHX6wEAWq0WSqWyWN06na7U2yqte4UzuPK2yHl4Hr0Dz6N34Hn0DjyPVYdJkCHXKOC2ToKhYIYsAUADH8Fl57Fp06Zl7nd4HlsAiIyMRGRkZIUKKktycjKWLVuGnTt3ok6dOgCAmTNnYtKkSXjiiSeQm5trd7xOp7POn6tUKouFWL1ej8DAwFJv704PTmVJSEhw2W2R8/A8egeeR+/A8+gdeB49W75RQr5RgtYgQWuUoDNJCAAQUOQ4Y+oVjzmPDgfbgwcP4ty5c7h9+3axfYIgYO7cuRUu5s8//4Svr6811AJAixYtYDQaERISggsXLtgdn5GRgeDgYABA7dq1i83OkJ6ejiZNmlS4LiIiIiJvZzBJyNVLyCsIssaCVtmqxKFg+/HHH2PTpk3w9fVFQEDRnI5K64oQGhqK7OxspKSkWMPt5cuXAQDh4eHYvHkzNBoNfHx8AABnzpxBREQEACAiIgKnT5+2XpdWq0V8fDxGjx5dKbURebODyRosj81BYo4R4f4iJrf2R58GPu4ui4iInCzfKCFPb0KOwdw6W9U5FGz37duHgQMHYubMmZXan7aoiIgINGvWDPPnz8frr78OrVaL999/H/369cMjjzyC6OhozJs3D2PHjsXPP/+MuLg4zJo1CwAwcOBAbNmyBevWrUOPHj2wbt061KlTBx07dnRavUTe4GCyBtNOZEEpA2opBaRojJh2IgsfPASGWyIiL2MwSdAYCr6MUsHgL+/h0HRfGo0GvXr1cmqoBQC5XI5ly5YhICAAEydOxPTp09GhQwfMmDEDoihiyZIluHXrFkaNGoX9+/dj8eLFCAsLAwCEhYVh0aJF+PbbbzFq1Cikp6djyZIlkMkcuotE1dby2BwoZYCvXAZBEOArl0EpM28nIqKqTZIk5OpNSNcacSXbgMvZBqRojLitN3ldqAUcbLHt0qULYmJi8PDDDzu7HoSGhuL9998vcV/Dhg2xdu3aUi/buXNndO7c2VmlEXmlxBwjaint/2n1EQUk5hjdVBEREVWEwWTuJ5tX0DJbFfvK3i2Hgu2bb76Jl19+GSkpKWjdurW1j6utQYMGVXpxROR84f4iUjRG+MoLw63GKCHcX3RjVUREVB6WgV/ZehO0XtBX9m45FGyPHj2KK1eu4PLlyzh48GCx/YIgMNgSVVGTW/tj2okswGCCjyhAY5SgM5m3ExGR5zJJ5jCbo5eQazC5uxyP4FCwXbduHR544AGMHz++2OpeRFS19Wnggw8eAmdFICKqIvIMJuToJORWs24GjnAo2GZmZuL//u//0Lp1a2fXQ0Ru0KeBD4MsEZEHyzdKyNGbkKP3vpkMKpNDUwa0bt2aS94RERERuZDBJCEz34Qr2QYk5RhwK987ZzKoTA612L7wwguYPXs2bt26hTZt2sDX17fY1F+cL5aIiIioYowmcxeDbJ0Jmmo8COxuORRsX331VQDA1q1bsXXrVut2QRAgSRIEQcCJEyecUyERERGRFzMWTM+Va5CQp5dgAgPt3XIo2K5evdrZdRARERFVG3qTOcTm6E3IN6JKhtljN/KxNSEPGbkq1PvnpkcMPHYo2P73v//F4MGD0aFDB2fXQ0REROSV9AVzzd7WmaCr4n1lj93Ix+Kz2fCRAQFyyWOWY3do8NiPP/4InU7n7FqIiIiIvIrRJCEr34SrOQYkZhuQpjVW+VALAJvi86AQAJVcBgjwmOXYHQq27du3x48//giTiZP/EhEREZVGVzAtV4bWiOu5RiRmG3FTa/S6gWDX8oxQi563HLtDXREaN26Mr776Cj/++CPuvfdeBAUF2e0XBAFz5851Rn1EREREHktrkJBnMEFjMK/aWF0WTAjzFZGuNcJP5lnLsTsUbA8fPozg4GAAwJUrV3DlyhW7/UWn/iIiIiLyRpJknsHA8lVd55Ud2cwXi89mI99ggkowr4bmCcuxOxRsd+3a5ew6iIiIiDySqSDM5urN36tLq2xZutRV4S2gYFYEI+oFeMZy7A4FWyIiIqLqhHPL3lmXuip0qauCMfUKmjdt4O5yAJQRbAcOHIjFixejZcuWGDBgQJndDQRBwO7du51SIBEREZGzSJK5b6zOJEFvNP+cb5RgMEmMslVQqcG2Y8eOqFGjhvVn9qMlIiIib6E1SMjWm5CjZ9cCb1JqsFUoFDAazVM2jB8/HsHBwVAoFC4rjIiIiKgyGU0ScvQSsrxggQQqWanz2O7fvx/p6ekAgCeffBJ//vmny4oiIiIiqiiDqeQ5ZRlqvVepLbaBgYHYtGkTkpKSIEkSfv75Z1y+fLnUKxo0aJAz6iMiIiK6I0mSoDWa+8dqjRLyjdV3Kq7qrNRg+/zzz2PZsmX45ZdfIAgCNm7cWOqVCILAYEtEREQuozeZw2u+UYLWICHfCM5cQKUH26FDh6J///7Izs7Gk08+iYULF6JFixaurI2IiIiqOUtLrM6mFZYhlkpT5jy2/v7+8Pf3x+zZs9G+fXvUrFnTRWURERFRdWWZQ9byxVkLyFEOLdAwYMAA5OTk4MiRI9BqtTCZTMWO6d+/f6UXR0RERN5PZ5SgM0nQGc1BVmtkkKW741Cw/fXXX/Hvf/8bGo0GUgn/NQmCwGBLREREpTKYJBhMgF6SYDKZ+8im6UXIbxvYIkuVxqFg+/HHH6NevXqYMmUK6tSpA5ms1FnCiIiIqBqzDOrSGwv6xpokGE0l94nNNZgYaqlSORRsL126hAULFqBjx47OroeIiIiqCNsptjQGc6A1MKiSGzkUbENCQqDT6ZxdCxEREXk4bUEfWE3Bd7a4kidxqE/BkCFDsHHjRuTk5Di7HiIiIvIgxoLVu1LzjLh824DkXAPStEZ2IyCP5FCL7cWLF3Ht2jU8/vjjaNSoEdRqtd1+QRCwdu1apxRIRERErmPpI6uzaZVlfKWqwqFgm5ycjKZNmzq7FiIiInIhSZKgMUrINxT2lWUfWarKHAq2q1evdnYdRERE5AK2fWQ1BokreJFXcSjYWly4cAGnTp1CdnY2atWqhbZt26JJkybOqo2IiIgqwGAyh1jzcrTgYC/yeg4FW5PJhAULFmDv3r12CzQIgoDHHnsMc+fOhSAITiuSiIiIyiZJ5vCabyzoXmCUoDcxxFL14lCw3bx5M/bt24cxY8agf//+CA4Oxs2bN/Htt9/is88+Q9OmTTFixAhn10pEREQ2OPUWkT2Hgu3u3bsxYsQIjBkzxrqtfv36GDNmDPLz8637iYiIyHmMJgl5BvOXxsCBXkRFOTSPbWpqKjp06FDivg4dOuD69euVWhQREVF1Z5IkaA0SbutMSNMYcTXHgEvZBqRojMjWmxhqiUrgUIttvXr1EB8fj4cffrjYvvj4eNSqVavSC/MuAkySBBn7IRMRUQmMBYO89CbzAK98owSDifPHEpWXQ8H2sccew/r161GnTh307t0bcrkcBoMBBw8exPr16zF48GBn11mlaSUBl24bIBMEyGWAvOC7QiZAIQNUogC5jKGXiKg6MEmWmQoKQywHeRFVDoeC7fPPP4/Tp09jzpw5mDdvHgICAnD79m2YTCY88MADGD9+vLPrrPIkAEZJgtEI5JfwP7hcEKASBahEQCkKUMoEKEWGXSKiqkqSJBgk80pe+oLZCrRGCTqGWCKncSjYKpVKrFy5EsePH8fvv/+O27dvIyAgAB06dEDnzp0rrRiDwYAVK1Zg//79kCQJvXv3xhtvvAGlUonr169jwYIFOHv2LOrWrYvXX3/d7rZjYmKwdOlSJCUl4f7778fMmTPRsGHDSqvN2QySBINBQq6hcJsMAhQioJKZQ69MBggAZIJ5nyBYfkbBzwzCRESuIknmrgMGSYLBZO5OoDeZg6xBArsSELlBuRZo6Ny5szVMZmdno0aNGpVazPLly3H06FEsWbIEgiBg9uzZ+Oyzz/Dyyy9j6tSpuPfee7Fhwwb89NNPmD59Or744gvUr18fKSkpmDp1KkaPHo2uXbvis88+w9SpU7Ft2zbIZA6Nj/NIJhTOSQh92cdaIq1MECDAHHTlAiCXmbs9iIIAUQBEm64QDMJERCUzSRKMEmAqaHE1FgRYvckcWA0m86dwDK5EnqXMYHvr1i0sX74cLVq0wNChQ63bNRoNBgwYgO7du2PatGmVEnCzs7OxY8cOLF26FG3btgUAjB07FgcPHkRMTAyuXLmCTz75BH5+fmjcuDFOnjyJ3bt3Y8KECdi5cyeaNm2KkSNHAgBmz56Nfv36ISYmBpGRkRWurSqwvLha5zC0ZGFj6S+7lrCrkJlbfwUUtgjb/g7AbgEOweb2SmIbly0XE2x2FN6OAJkAiJaWZwZtInIBk1TYsmos+G5peTVJgNEESGBoJaqKSg222dnZePnll5GcnIz77rvPbl9+fj569+6NAwcO4J9//kF0dDR8fX0rVMiZM2egUqnsguiAAQMwYMAArF+/Hs2aNYOfn591X9u2bXHmzBkAQFxcHNq3b2/dp1ar0bx5c8TGxlabYHs3jAUtEp7Q38sSaUXBJmQLgAhzqJYJgKKg5dky8I6tzkRUGkuLq6V/qyW86kycbYDIm5UabD///HNkZGRYQ6WtmjVrYvbs2Rg8eDBeffVVbNu2DS+99FKFCrl69Srq1auH77//HuvXr4dGo0GvXr0wceJEpKWlITQ01O74oKAgpKamAgDS0tIQEhJS6n7yfJY3GYMkldAcXPJbkLnl1z4IW74rZAKU1gBs/lnkzBNEVZ6ltVUryZCZb4KuYEYBY8FLh0kyH8PgSlQ9lRpsDx8+jBEjRhQLtbbuv/9+/Otf/8KhQ4cqHGxzc3Nx7do1bN++HTNmzEBeXh4WLVoEo9EIrVYLhUJhd7xSqYReb+54qtVqoVQq7fYrFArodLoybzMhIaFCNTtOhsuJiS66LSqJIAAKQYBCFKAUJHOrLwC5IEEox1ug654z5Ew8j55DEAQYJcAoCTAAMEjmHlQGSYBkAkwwjzdAwXZzeDX/zab8fdGdpVMl4ftj1SYAaOAjuOx1tWnTpmXuLzXYXr9+HS1btrzjDbRr1w7bt28vf2VFC5HLkZubi/nz56NBgwYAgMmTJ2Pu3Lno378/cnNz7Y7X6XRQq9UAzCG3aIjV6/UIDAws8zbv9OBUltj4C2gUHu6S26Lys0y1ppDZTrVWvJtDQkKCy54z5Dw8j84nFXQDMH8VDMIyFf5slMwzCBgK+rMCEkQAyjtcr63LiYl8XfUCPI/ewZh6xWNeV0sNtn5+fsjJybnjFej1emvArIiQkBCIomgNtQAQHh6O/Px8BAcH48KFC3bHZ2RkIDg4GABQu3ZtpKen2+1PT09HkyZNKlwXeT/LVGu2LN0cLAPpACBFJ0KdY56PraQeE5ZZKBQy83dRMAdlBbtAUBVimcIq3yTBYJSQbwJ0xsKP9i3PffP30j/tYFcAInKHUoNtixYtcOzYMTzyyCNlXsGxY8cqZb7Y1q1bw2g04p9//rEOVrt06RL8/PzQunVrbNmyBRqNBj4+PgDMg80iIiIAABERETh9+rT1urRaLeLj4zF69OgK10XVkwTzm7ZJgvUdWms0madeK0Vps1DIYL/whkIElDLPXm1OslmDXuAAPY9SdES/rmDqKcvKVWLBDCNCwRzXlqeZpQ86UDiziamg9dTSL9XSgmpiLCWiKqrUYDto0CDMnDkTXbt2Rc+ePUs85siRI9i7dy/eeuutChdyzz33oFu3bpg/fz5mzJgBrVaLlStX4oknnkDHjh1Rt25dzJs3D2PHjsXPP/+MuLg4zJo1CwAwcOBAbNmyBevWrUOPHj2wbt061KlTBx07dqxwXUQVZYIEjRHQFAm9MggF8woXtvSaB7+Z44dtnLT0KywcHFPYamY9psiAmZKmarPuswk5tqFGkmymjCuBUHApu2ncUDhvcklTuNkO7EPBPm+bS1mymfPUJJnPubHg8ZQKHl8TzPuKsjwCtufTcpjl3BS9bgcqqvB9IiKqioTMzMxSXwHnzp2L7777Dp07d0bXrl0RFhYGk8mEa9eu4dixY/jll1/QpUsX64IKFZWbm4ulS5fi8OHDEEUR/fv3x6RJkyCXy5GUlIR3330Xf/zxB+rXr48pU6bgoYcesl72+PHjWLZsGW7cuIGIiAjMnDnTrluDO8XGX4BPnXvcXQZVEPuCVT7buZQtLAHdBHPQs532rTAwF/4TYBuuAUsrpLkV0ySZu5rYdh25ciUR99xT/DwWvR67eZwttRXUZQmoJqnwI3lGSdfi36N34HmsGvIMJqRqTLipMSFVa8RNjQk3teZtzzT2wYO4geZNPaP7Z5nBFgC2bNmCLVu24NatW9bwKkkSgoKCMHz4cAwbNgxyebkWMKt2GGy9A1+AvQPPo3fgefQOPI/uZZQkpGtNNkHVWBBeTbipMRZ8NyHXUHpUfL21P4YFpnlMsL1jIh0xYgSGDRuGP//8EykpKRBFEfXq1UOzZs3Y946IiIjIA+XoTfYhtSC82gbWdK0Jpgrezk2NESh7EiqXcqipVRRFREREWAdrEREREZHrGUwS0rTFQ2qqxmjtHpCmNSGvjFbWypSqrWg0rlzsQ0BERETkZpIkIVsvFbSs2nYJKAytNzUmZOR71rwlNzUMtkRERETVhr6gldU8AKt4K6tlUFa+0d2Vlt9NjWcVzWBLREREdBckSUKWTrIbeGX92RJktUbcyvekNtbyEwUgRC1DqFqGUB8RtX3MP9f2EVHXVwaY8txdohWDLREREVER+caCvqwFLaxFW1st3QV0nvVJfLnVUAgI9ZGhtlos+G4fXkN9ZAhSycqcd9yY6sKC76BcwTYrKwvnzp1DdnY2atWqhdatW8Pf399ZtRERERFVKpMkITNfKtKP1WbWgIIW1yxd1W5llQtAqI8MoXaB1dzKagmsoWoRPnLvmuHKoWBrNBqxZs0abN++HVqt1rpdpVJh1KhReOmll5xWIBEREZEjtEbJLqTaz8ta2MrqogkDnCZQKVgDamHLqmgXXgOVgtes7lgeDgXb6OhobNmyBf/617/wyCOPoFatWkhPT8f333+P6Oho+Pv7Y+jQoc6ulYiIiKohkyQhI98y4Kr4VFeWwHpbX7UTq1IGa0i17RZgDbAFP6vE6hdYHeVQsN2zZw9GjRqFl19+2botPDwcHTp0gI+PD7Zt28ZgS0REROWmMUh2g63sBl4V/JymNcFYtTMraqkEhKrtB16FFukeEKgUuPhVBTkUbLOystCmTZsS9z388MPYsWNHpRZFREREVZtRkpChNdl3C7CZ2uqmxoSUXDXyTt10d6kVohJRPLAWtLaGFAzKClHLoGQrq0s4FGw7deqE77//Hp07dy627/jx42jfvn2lF0ZERESeqfKWa/XcsCcACFJZBlnZB9baPjKEFITZGgq2snqSUoPt7t27rT+3atUKn332GTIzM9GnTx8EBwfj9u3b+Omnn/Dzzz9jypQpLimWiIjI2x27kY9N8Xm4lmdEmK+Ikc180aWuyiW3bVmuNa2ghdV2IYE0m9ZXVy3X6iw+YsEUV6UMvApVyxCilkEuY2CtaoTMzMwSn52dOnVy/EoEASdOnKi0orxNbPwF+NS5x91lUAVdTkxEo/Bwd5dBFcTz6B289Tweu5GPxWezoRAAtShAa5Sgl4C32taoULiVJAk5esmuhbWk0Oppy7WWlwxAsCWgljDwyhJe/eRsZa1MxtQraN60ibvLAFBGi+3OnTtdWAYRERFtis8zh1q5DACglguAwYRN8XmlBtuiy7XarniVqilsfdV61sqn5eYnF+wXELDpw2ppfQ1SsZW1uis12NarV8+VdRAREVV71/KMCFSYg5kkSTAVNJ9ezDZg5yVNseVa07RGZHjpcq22q2GFqmXwU8jcXSpVAQ6vPHbu3DmcOnUKer0ekmT+IzKZTNBoNDhz5gw2bdrktCKJiIi8ic4o2Q22soRUrcE8k4AJgMEEu24B757Odle5d62GQigWUmv7yJCmNeHn6/m4matHeKASo5r7uawfMXk3h4Lt9u3bsXTpUmugtSWTyfDwww9XemFERERVjSRJyNRJRVa8su0e4P3LtYZYV8MqebnWYzfysTnB3OUiUGFeeGHx2Wy8BTDcUoU5FGy//vprdOrUCfPnz8fmzZuRnZ2NKVOm4NixY5g/fz4effRRZ9dJRETkVpblWgsXDzDPx5pWJMDq7zzHlUcLVBa0stq0sFrnaS1oea2puvvlWm37EetMBf2J79CPmMhRDgXba9euYdKkSQgMDESrVq2wdu1aqNVq9OrVC5cuXcL27dvRt29fZ9dKRERU6UyShFv5kl23AMvPaTaLCXjbcq22q19ZZg0IUcugdvJCArb9iC3UooBreVV8dBt5BIeCrUKhgEpl/i+qYcOGSEpKgsFggFwuR5s2bfDFF184tUgiIqK7Ybtcq+2KV5ZZA24WzBpQxadlRU2lYBdSQ4otKCB6zHKtYb4i0rVG84wPBbRGCWG+ohurIm/hULBt1qwZjh49isjISNxzj3k+1ri4OLRr1w6pqalOLZCIiKgoo4RSV7yyhNebWhNyqngrq0qE3cwAtW1aWy3dAqracq0jm/li8dlswGCCTAK0BhP0knk7UUU5FGyHDRuG6dOnIzs7G/Pnz0ePHj3w9ttvo3v37jhw4ADatWvn5DKJiKi6yNWbrP1YbVtbrVNdaUxI06phQrq7S71rRZdrLTprQKgXL9fapa4Kb8Hc1zYpy4CGfq5dXY28m0PBtkePHvjwww9x8eJFAMD06dMxa9Ys7Nq1C/fffz+mTp3q1CKJiKjqM5gkpGsLA2qqTWC1bX11bLlWzw17ZS3Xagms1X251i51VehSV1Wwglxdd5dDXsTheWy7du2Krl27AgACAwOxYsUKpxVFRERVh/1yrYUrXt206ceaqjVZ52etqmQAgtSyEle8sgTW2lyulcitHA62pfnuu++wdetWbN68uTLqISIiD2K3XGsJA69ueulyrSV1D+ByrUSer8LBNjMzEwkJCZVRCxERuYgkSbitlwqCaumzBnjbcq2FU1txuVYib1ThYEtERJ6l6HKtRbsHWBYVyK/K/QJQ8nKt1j6tBa2vtdQyiOwWQFRtMNgSEVURkiQhq2C51tIGXqVqjMis4su1igLsFg0oqU9rXupVtGgc7u5SicjDMNgSEXkArVFCmt3KV/YDr7xtudbaBatc2S3XWtDaWsuB5VovV92ZvojIiRhsiYicyLpca5G+q7bdArxhuVaFDIUDr0parlUtQ4iP6PTlWomoeis12A4YMMCh6Ury8vIqtSAioqqirOVa0wrCK5drJSJynVKDbceOHfkiRUTVklGScEtrsnYLSCuhhTXVG5ZrlcE60Cq0yAICVXW5ViKq3koNtnPmzHFlHURELqExApezDdblWgvnaC38PU1rgrEKZ1bLcq0hRaa2CrFpYQ31kSHAC5drJaLqrdRg+88//+C+++4r9xUmJCSgadOmFSqKiKi8bJdrLdqyar9cqw+ADHeXe9fUIuz7rhaZNYDLtRJRdVZqsJ02bRoefvhhvPjiiwgNDb3jFV29ehUbNmxATEwMvvnmm0otkoiqL8tyrTe19gOv0gpaWLlcKxERWZQabLds2YKlS5di0KBB6NChA3r37o1WrVqhXr168PHxQXZ2NlJSUnD27FkcO3YMMTExeOyxx7i0LhE5zFDScq0lzMvqLcu1WhcPKGFRgWC2shIRVVipwdbPzw+zZ8/GkCFDsH79eixZsgRGY/F3F5VKha5du2Ljxo1o1qyZU4sloqrBdrnWkqa2snQXyMg3oQp3ZYUoAMGqgpBqNy+r+XfLz1yulYjINe44j23z5s2xcOFC5OXl4cyZM7h27RpycnJQs2ZN1KtXD+3atYNKpXJFrUTkAWyXay3aPcB2Jayqvlyrv0Kwa1m1DLzicq1ERJ7L4QUafH190blzZ2fWYufdd99FcnIy1qxZAwC4fv06FixYgLNnz6Ju3bp4/fXX7eqJiYnB0qVLkZSUhPvvvx8zZ85Ew4YNXVYvUVVXbZZrhWSziEDh1Fa2q1/V9hHhI2dgJSKqajxy5bGTJ09i9+7d6NChAwDzG+7UqVNx7733YsOGDfjpp58wffp0fPHFF6hfvz5SUlIwdepUjB49Gl27dsVnn32GqVOnYtu2bZDJ+BEgUb5RMgdUm8BqO/DK25ZrDbUZeBWiLmxhDfURkXUjCY0bhbu7VKJq7diNfGyKz0NSlgoNE29hZDNfdKnLT3+p4jwu2Go0Grz//vto27atdVtMTAyuXLmCTz75BH5+fmjcuLE1/E6YMAE7d+5E06ZNMXLkSADA7Nmz0a9fP8TExCAyMtJdd4XI6UyShMx8qcQVr6zhVWtCVhVvZVXIYB14FVpk4JUltDq6XGs2G2KJ3OrYjXwsPpsNhQD4yyWka41YfDYbbwEMt1RhHhdsV69ejQ4dOiAkJARnz54FAMTFxaFZs2bw8/OzHte2bVucOXPGur99+/bWfWq1Gs2bN0dsbCyDLVVZWoM5sNoOvEorMmuAty3XGmrTFcD255pcrpXIa2yKz4NCANRyGXQm83cYTNgUn8dgSxXmUcH23LlzOHToELZt24atW7dat6elpRWbSzcoKAipqanW/SEhIaXuJ/IkRZdrtXQDKDprQHYVX65VKUOxKa1sB15ZWl+5XCtR9XItzwgREq5kG6AzyqDMNyBIJeBaXhWf1488wl0H2/T0dNy8eRPNmjWrlH6sOp0O7733HqZMmYKAgAC7fVqtFgqFwm6bUqmEXq+37lcqlXb7FQoFdDpdmbeZkJBQ4bodI8PlxEQX3RY5053Oo8YIZOgFZOgE8/diPwO39AJMqNphLlAuIUghIUhZ5LvNz/4iUGIjqxFALqDPBa65uvAC/Hv0DjyPVZPCpMRVrQwymJd/1hslXM+TUF9t4jmtggQADXwEl2WqO61u61Cw1Wq1WLZsGZo0aYIhQ4bgyJEjmDVrFoxGI8LDw7Fy5UqHVicrS3R0NBo2bIjevXsX26dSqZCbm2u3TafTQa1WAzCH3KIhVq/XIzAwsMzbdNXSv7HxF9AonINVqjKDScLZC1egCg6zzs1qt5hAQYtrbhXvF2BZrrVwPtbCWQMsy7UGq2VQVMGFBAoHq+SjYaCKg1WquMuJiXxdraKUCemA1gjIAEGSIAkCYDK/lzcKr+fu8uguGFOvuCxT3YlDwfbjjz/G/v37MX36dADAypUr0aRJE7zwwgtYvXo1Vq5ciXnz5lWokO+//x7p6eno3r07AHMwNZlM6N69O1544YVi/wlkZGQgODgYAFC7dm2kp6fb7U9PT0eTJk0qVFNFHUzWYHlsDm7mqOGn5qhPTyRJEnINElI1jizX6gPglrtLviulLdcaagmwBath+Su8sy8rB6sQeY5cg4R6vgIy8iXoTOZuS0G+QpVvGCDP4FCw/d///odXX30VAwYMwMWLF5GcnIwFCxbgkUcegU6nw0cffVThQtasWQODwWD9fdu2bfjzzz8xf/583LhxAxs2bIBGo4GPjw8A4MyZM4iIiAAARERE4PTp09bLarVaxMfHY/To0RWu624dTNZg2oksKGVAgFxCGt9IXc6yXGtpU1tZBmVpjFX7xdRXLhQLqHaDsLhcKwerEHmQMF8R6Voj7qkhQqfLh1KpgtZgQh216O7SyAs4FGxv3bplbf389ddfIYoiOnXqBMA8SCsvL6/ChdSrZ//xQ40aNaBSqdCwYUOEhYWhbt26mDdvHsaOHYuff/4ZcXFxmDVrFgBg4MCB2LJlC9atW4cePXpg3bp1qFOnDjp27Fjhuu7W8tgcKGWAr1wGgW+klUqSJGTrJfsVryyDr2wGYlX15VplAEKsLayFA69sA2uojwz+XK71jq7lGRGosA/2apGDVYjcYWQzXyw+mw0YTJBJgNZggl4ybyeqKIeCbZ06dZCUlIQHH3wQR48exf333w9/f38A5pbTOnXqOLVIURSxZMkSvPvuuxg1ahTq16+PxYsXIywsDAAQFhaGRYsWYdmyZVi/fj0iIiKwZMkSty7OkJhjRC0l30jLS2+SSpjayj6wpmqNyK/iD6OfXLDru1q0hbW2jwxBXK610lhaiNQ2q4lpjRLCfNlCRORqXeqq8BZQ0OfdgIZ+IrvqUaVxKNj27dsXK1euxJEjR3D69GlrS+mSJUvw3//+F2PHjq30wiZMmGD3e8OGDbF27dpSj+/cubNLl/y9k3B/ESkaI3z5RgqgcLnWMrsFaI24lV+V21gBUYDdwCvbwFrbOuWVDL5ytrK6EluIiDxLl7oqdKmrKhgEWNfd5ZAXcSjYjh07FnK5HGfPnsVrr72GgQMHAgD++usvjBgxAi+88IIza6ySJrf2x7QTWYDBhADBu99I841SQWuqbbcAm+VbC8Krroov1+ovSqjjJ7db8arocq21VAJkbGX1OGwhIiKqHoTMzMyq3UTmwQpnRdDBT62ocm+k1WW5VrmAgpZVsZTuAeZ9N65e4fRCXoDTRHkHnkfvwPPoHYypV9C8qXtnorJweIEGk8mEQ4cO4cSJE0hLS8Obb76J2NhYREREIJxPyhL1aeCDPg18EBt/AT51aru7HDtFl2stNi+rly3XWtg9wH7gVW0fEYFKtrKSd7DM1Xstz4gwX7ZKE1H141CwzcnJwZQpU3Du3DmEhIQgPT0deXl52LdvHz788EOsWbMGzZo1c3at5ADLcq22/VYLw2vhkq3eslyrpR9rbS7XStWc7Vy9gQqBc/USUbXk8AINly9fxqeffopWrVqhS5cuAIAFCxZg0qRJWLt2LT788EOnFkpAnsFks3hAYVeAVJt+rGlaE6r4tKyopRIKuwVYWliLBNZApXcuJEB0t2zn6gVgngGCUwx6HQGATBAgEwCZAMhtfhYFQLT53QTAZDJ3KzNIgFECjCbzzwaTVKWnQyQqjUPB9siRI5gwYQLatGkDo7FwnqWaNWti5MiR+OCDD5xWYHVgMEnIyDeVuOKV7awBVX1VFpUIu4FXJbW2BqvYykp0NzhXr+sJAAQIEGWFIVMQzNuLKho8RZn5Z9tjbV/hLdttr08AIFbSQitSQdjVmyQYTeb3IXPgBQySeZtRMlckCub7KBcEyGWAQmZft20bgySZL2eUAFPBl0GSrD+bJAZqci6Hgm1ubi5q1y65j6ivry80Gk2lFuVNDCYJl/ME3E7V2c0aYAmvN7UmpGtNqMoTBggAglSy0gdeeflyrUSegHP1VowlpAoFrZ3mllHzQimizBzo5IIAmQxQFAQ8UUCVfU0TBAEKwRxSSyMVBNvKvI9SQeg1FgTgPLX5EzqDJMFgKmxRNhXsZwim8nIo2N53333Yv38/unbtWmzfjz/+iKZNm1Z6Yd4iU2fC86dVADLdXcpdsSzXGlpCtwDLoKyQar5cK5EnsJ2rVy0K0Bolr51i8G6JggClDFCJAuQywdyCatMSyUGk9pwR2gVBgFywhA8BPoIJgarS5/W2BF2jVLxlWW8yh+GqvcYkVTaHgu3o0aMxbdo0vPrqq+jevTsEQcBvv/2Gb775Brt378aCBQucXWeVFaySQSFI0Eue9YIpAxBsmRmgyHKtlhZWLtdKVHXYztVb3WdFEAVzaFXIBKhEQCEKUItCma2T5JlEmQDzZw6lnzujSYLepguFQSr4vSD4suW3enF4HtuDBw9ixYoVSElJsW4LCgrCK6+8ggEDBjitQG/Q8vMkXM93XUC0Xa41VF0YUm2Xa62lYitreXG+Re/A81i1yQr6tF5LvoIm4eHmLgIFra9ymQAFW16rlISEBKd/6itJhcHXJJn7MkuS+Qsw/643SdAZObDublXJeWz79OmDPn36IDExEVlZWfD390ejRo0gk7FF706ClcD1/Ipfj2W51tAiLaxcrpWIvIEAcziVF4RUS79W2+4Cln/IdXIjarP/MDlAEAQoRUBZRquvLZMkQWcE9JIEg1GCzgTobFp/ybM5HGwBQKPRWBdjOHLkCE6cOIGoqCg0bNjQKcV5i1Dlnf8QAhQCQmwGXtVWy4qthlVLJYPIlggiqqJsw6m8oKuArCC0Kqr4YCzyHjJBgFoOqCEACvt9BpNkDbn6gi4QOiP7+noSh4JtcnIypkyZgkceeQQTJkxAdHQ0oqOjIUkS1q5di48//hgRERHOrrXKus/PhHRJXeZyrbYjmYmIqjpRMPdrVYnmwVo+cq7wR1Wf+ZOEkp/Hlj69epuBbvqCeYSNnOnBZRwKtitXroRer0eXLl1gNBqxfft29OzZE9OnT8fcuXOxevVqfPzxx86utcoa2dCI8XVqubsMIqJKJUPhvKaW76IAKEUBKs5HTdWMpfuM+g5dHkxF+/oWbLf8bJIkmFDYD1iCuVU43yRBb2TL8J04FGxPnTqFadOmoU2bNjh79iyysrLwzDPPoGbNmnj66afx9ttvO7tOIiJyIxkKW18tX1xMhaj8LCvHla7suYXzjeY+vzqjhHyj+XeG3UIOBdv8/HzUqmVucTxx4gR8fHzQtm1bAIAoiuwTRUTkJWQQoBABpcw856tcFKCUsQWWyBMItv1/C9iG3XyjZJ7DuhqHXYeCbaNGjRATE4P27dvjhx9+wIMPPgi53HzR/fv3WweUERFR1aKQCfARBajl5j6xbIUlqhwHkzVYHpuDxBwjwv1FTG7tjz4NfCr9dkoLu3oTCrovFMzsUE0GuTkUbEeOHInZs2dj+/bt0Gq1mDFjBgDghRdewN9//4333nvPqUUSEVHFyQVLFwJzlwK1WPpAGCK6eweTNZh2IgtKGVBLKSBFY8S0E1n44CE4JdwWZZ3iTCw+s4O3L2jhULDt3bs3QkJCcO7cOTz44INo1aoVAKBDhw4YP348Hn74YacWSURE5aMo6D6gkhWuvMUQS+Qay2NzoJTBOq+8r1wADCYsj81xSbAtiygzzw1dWl9e2wUtDKbCIGyUzN0djB7e6uvwPLbt2rVDu3bt7LZNnjy5sushIqJysO0TqxLN88GqRQEiQyyR2yTmGFFLaf836CMKSMwxuqkixzmyoIXt1GYmE3DDg4Kuw8H23LlzOHXqFPR6PaSClTdMJhM0Gg3OnDmDTZs2Oa1IIqLqzhJg1QWDueQy88eMCgZYIo8T7i8iRWM0t9QW0BglhPt7x2p5Rac2S61qwXb79u1YunSpNdDakslk7IpARFTJLIO6CqfX4qpcRFXF5Nb+mHYiCzCY4CMK0BQM4Jrc2t/dpXk9mSMHff311+jUqRMOHDiA559/Hk8++SSOHj2KBQsWQKlU4tFHH3V2nUREXk0hE1BDIUNtHxHhNeQIryFHbV8RgSoZ1HKBoZaoCunTwAcfPBSIOj4ibukk1PER8cFDgW7vX1sdONRie+3aNUyaNAmBgYFo1aoV1q5dC7VajV69euHSpUvYvn07+vbt6+xaiYi8hgzmZWZ95ebvnGaLyLv0aeDDIOsGDrXYKhQKqFQqAEDDhg2RlJQEg8EAAGjTpg2uXLnivAqJiLyEQiagplKGer4i7g0QUc/P3CLLUEtEVDkcCrbNmjXD0aNHAQD33HMPACAuLg4AkJqa6qTSiIiqNoVMQIBChjo+IhoVdC8I8RHhp5CxawERkRM41BVh2LBhmD59OrKzszF//nz06NEDb7/9Nrp3744DBw4UmwaMiKg6EgX77gWcsYCIyLUcarHt0aMHPvzwQ9x3330AgOnTpyM8PBy7du1C48aNMW3aNKcWSUTkqZQyAbVUMoT5iWhUQ0RdXxEBShlDLRGRGzg8j23Xrl3RtWtXAEBgYCBWrFjhtKKIiDyVvKBV1oetskREHueOLbZXr17FhQsXim3/+OOPkZiY6JSiiIg8hQwCfOUyhKhFNPCTo1GAHHXYKktE5JHKDLZffvkl/vWvf+Gbb76x237t2jVs3rwZzz77LHbu3OnM+oiIXE5pM3tBowARYX4iahbMJ0tERJ6r1GB78uRJLF26FD169MCwYcPs9oWFheGbb75Bt27dsHDhQpw7d87phRIROYtcsF8c4R6b2QtknL2AiKjKKDXYbt26FZ07d8aCBQtQv379Yvvr1auHRYsWoXXr1tiwYYMzayQiqlQymJerZfcCIiLvUmqwjY+PR//+/e94BU899RTi4+MrtSgiosqmkAkIVMpQVy2gUYCI+v5ydi8gIvIypc6KkJeXh4CAgDteQUhICG7fvl2pRRERVQalTECAUgZfmyVrMwUTuxcQEXmpUoNt3bp1cenSJURGRpZ5BYmJiQgNDa30wojIdY7dyMem+DxcyzMizFfEyGa+6FJX5e6y7opCJsBfIcBfIYOKS9USEVUrpXZFiIqKwldffQWtVlvqhbVaLb7++ms88MADTimOiJzv2I18LD6bjXStEYEKAelaIxafzcaxG/nuLs1hKrFwkYTwGnIEq0WGWiKiaqjUYPvss88iJycHr776Kv78889i+8+fP49JkyYhNTUVw4cPd2qRROQ8m+LzoBAAtVwGCALUchkUgnm7p7JMx1XXV8S9NeRo6G8Os75yhxZTJCIiL1VqV4SQkBB88MEHmDFjBl588UXUqlULYWFhMJlMuH79OjIzMxEUFIRFixahUaNGLiyZiCrTtTxzS60ttSjgWp7RTRXZk0GASgR85AJUogC1KEDkzAVERFSCMpfUbd26Nb744gvs27cPx48fR0pKCkRRREREBB566CH07dsX/v7+rqqViJwgzFdEutZoNzuA1ighzFd0W00qUYCfXICPXAa1CAgc7EVERA4oM9gCgL+/P4YOHYqhQ4c6vZjk5GQsXboUZ8+ehY+PD3r37o0JEyZApVLh+vXrWLBgAc6ePYu6devi9ddfR+fOna2XjYmJwdKlS5GUlIT7778fM2fORMOGDZ1eM1FVN7KZLxafzQYMJqhFAVqjBL1k3u4qoiDAVy7AR27+LmeLLBER3QWP6ZCm1+vx5ptvQqlUIjo6GvPnz8fRo0exevVqSJKEqVOnIjAwEBs2bED//v0xffp0XL16FQCQkpKCqVOnom/fvti4cSOCg4MxdepUmEwmN98rIs/Xpa4Kb7WtgWC1iCy9hGC1iLfa1nD6rAhqUUCQSob6fnI0qiFaF0hgqKWyHEzWYOC3N/HEb2oM/PYmDiZr3F0SEXmQO7bYusoff/yBpKQkrF+/Hr6+vrj33nsxfvx4fPTRR+jSpQuuXLmCTz75BH5+fmjcuDFOnjyJ3bt3Y8KECdi5cyeaNm2KkSNHAgBmz56Nfv36ISYm5o7TlRGROdw6O8jKhcIWWV85+8lS+R1M1mDaiSwoZUCAXEKKxohpJ7LwwUNAnwY+7i6PiDyAx7TYhoeH46OPPoKvb+HHn4IgQK/XIy4uDs2aNYOfn591X9u2bREbGwsAiIuLQ/v27a371Go1mjdvbt1PRO6hFgUEq2R2y9bWUMoYaumuLI/NgVIG+MplEATzd6XMvJ2ICCijxTY/Px8qlesmaK9Vq5Zd66rJZMJXX32Fdu3aIS0trdgiEEFBQUhNTQUApKWlISQkpNT9ROQaMphbZf0U5sFfDLBUmRJzjKiltH9O+YgCEnM8YwYPInK/UoPtE088gffffx/t27dHdHQ0Bg4ciDp16rissI8++gh///03NmzYgM8//xwKhcJuv1KphF6vB2BeKEKpVNrtVygU0Ol0Zd5GQkJC5RZdKhkuJya66LbImXgeixMFc4hVixJUggQjJHh6+5nr/vapMtUWVUjTAD4FE3bk52uhMQK1lTynVRnPnXdw1Xls2rRpmftLDba5ubm4ffs2ACA6OhqRkZEuCbaSJGHp0qX4+uuvsXDhQjRp0gQqlQq5ubl2x+l0OqjVagDmkFs0xOr1egQGBpZ5W3d6cCpLbPwFNAoPd8ltkfNcTkzkebThIwqooZTBXyFAVoWm40pISHDZ3z5Vruk+5j62RhkgM+hgkisBAZgeGYim7GNbJfHv0Tt40nksNdg2btwY8+fPR+PGjSFJEhYtWmTXx9WWIAhYu3ZthYsxmUx499138d1332HBggXo3r07ACA0NLTYfwIZGRkIDg4GANSuXRvp6el2+9PT09GkSZMK10REhRQyATUUAvwVMii5ZC25WJ8GPvjgIXOf2gu3BDSpIWJya38OHCMiq1IHj7399tvo2LEj5HI5BEGATCaDKIolfslklTMG7aOPPsL333+PRYsWoWfPntbtERERiI+Ph0ZTOK3LmTNnEBERYd1/9uxZ6z6tVov4+HjrfiK6e4qC5WvD/ESE15AjSC0y1JLb9Gnggz39QrGroxZ7+oUy1BKRnVJbbJs0aYKFCxcCADp16oRp06ahTZs2TiskNjYWX3zxBV555RW0bNkSaWlp1n0dOnRA3bp1MW/ePIwdOxY///wz4uLiMGvWLADAwIEDsWXLFqxbtw49evTAunXrUKdOHXTs2NFp9RJ5M4VMgL9CgK9cBh85QywREVUNDs1j++uvvwIwdxW4dOkSsrOzUbNmTYSHh1faUpeHDx8GAHz88cf4+OOP7fYdP34cS5YswbvvvotRo0ahfv36WLx4McLCwgAAYWFhWLRoEZYtW4b169cjIiICS5YsqbSWZCJvJwoC1GLh6l9skSUioqpIyMzMlBw5cP/+/Vi+fDkyMzOt22rWrIlXXnkFAwcOdFZ9XiE2/gJ86tzj7jKogrxt8JhKFOAvF6CWy6AWUWn/pHo6TxrkQOV3MFlT0MdWiya11OxjW8Xx79E7eNJ5dKjF9ujRo5g3bx4eeOABPP744wgODsbNmzfx7bff4r333kNgYCC6devm7FqJqIJ8RPPAL1+FAAXnmKUqhiuPEdGdOBRs161bh549e1r73FoMGjQI//73v7Fx40YGWyIPZQmzfgoBcoZZqsJsVx7LN5q/w2DC8tgcBlsiAuDgkroXL15E//79S9zXv39//PPPP5VaFBFVjI8oIFQtolENOer7yxGokjHUUpWXmGOEj8iVx4iodA612NaqVQtZWVkl7svMzCy26hcRuZYMAtRy8wpgbJklbxXuLyJFY4SvzUwdGqOEcH/RjVURkSdxqMW2Y8eOiI6OxtWrV+22X716FdHR0ejUqZNTiiOi0omCgBoKGer6imgUICLMT2TLLHm1ya39oTMBeQYTJMn8XWcybyciAhxssZ0wYQJeeOEFDB06FK1atUJwcDDS09Nx/vx5BAQE4JVXXnF2nURuc+xGPjbF5yEpS4WGibcwspkvutRVuaUWuWCekstPYf5eXWYyIAK48hgR3ZlDwTYkJASbNm3C1q1bcfr0acTHxyMwMBBDhw7F8OHDrUvbEnmbYzfysfhsNhQC4C+XkK41YvHZbLwFuCzcyoXCIMswS9VdnwY+6NPAp2B6oYbuLoeIPIxDwRYAgoKCMGnSJGfWQuRxNsXnQSEAarkMOpP5OwwmbIrPc2qwtYRZP4UAH5FhloiIyBEOB1ui6uhanhGBCvtQqRYFXMur/FHYbJklIiKqGAZbojKE+YpI1xqhthmFrTVKCPOtnFHY7DNLRERUeRyaFYGouhrZzBd6CdAaTEDBd71k3n63REFAgEKGer4iwmuIqO0rwk8hY6glIiKqILbYEpWhS10V3gIKZkUwoKGfeFezIohC4RyzbJklIiJyDgZbojvoUleFLnVVuJyYiEbhdR2+HMMsERGRa1W4K0JKSgqio6MroxaiKs9u0QR2MyAiInKpCgfbGzdu4NNPP62MWoiqpKJhto6vCH+GWSIiIpercFeEVq1aYefOnZVQClHVIdrMZuDHbgZEREQeocLBVqFQoF69epVRC5FHs7TMMswSERF5JoeDbX5+Pnbt2oXff/8d2dnZqFmzJtq1a4eBAwdCrVY7s0Yit5GhcAUwSS2hTiXNX0tERESVz6Fgm5WVhQkTJuDChQuoW7cugoODkZSUhB9++AFff/01oqOjUaNGDWfXSuQSYpFFE2TWllnJrXURERFR2RwKtqtWrUJqaipWr16NDh06WLf//vvv+Pe//401a9Zg2rRpTiuSyNmUMnOQ9ZEL8BHZzYCIiKgqcmhWhKNHj2L8+PF2oRYAOnTogLFjx+Lo0aNOKY7IWWQQ4CeXIVQtIryGHPfUkCNYLcJXztkMiIiIqiqHWmy1Wi3q169f4r769esjKyurUosicgaFzNy1wEdetIsBEREReQOHWmwbNWqEH3/8scR9R48eRYMGDSq1KKLKIADwEQWEqEU09JcjvIYcoT7mOWYZaomIiLyPQy22zz33HGbNmgWj0YhHH30UwcHBSE9Px/fff4+9e/di+vTpzq6TyCG2A798RAGijAGWiIiounAo2Pbp0wdXrlzBhg0bsGfPHgCAJElQKpV46aWX8NRTTzm1SKKyyIXCGQx8Ob8sERFRteXwPLYvvfQShgwZgtjYWNy+fRuBgYG4//77ERAQ4Mz6iEqkkJkXSfBVCPCVV3hlaCIiIvIC5Vp5rEaNGujcubOzaiEqk0ImwF9hns1ALWerLBEREdkrNdhOmDDB4SsRBAGrVq2qlIKIbClkAmooBPgpZFCJDLNERERUulKDrcFguOOFL1y4gNzcXMhk/CiYKo9cKGiZVcjgw5ZZIiIiclCpwfbTTz8t9UK5ubn46KOPcO7cOdxzzz14++23nVIcVS/+ChlqKDgAjIiIiO5OufrYAkBMTAzeeecdpKamYujQoXjllVegUqmcURtVAwqZgACFgBpKGeScmouIiIgqwOFgq9VqsWLFCvz3v/9FvXr1sGrVKrRv396ZtZEX85PLUEMpwF/BbixERERUORwKtmfOnME777yDq1ev4umnn8akSZOgVqudXRt5GbbOEhERkTOVGWx1Oh1WrVqFL774AnXq1MHKlSvx4IMPuqo28gIymBdPqKHkfLNERETkXKUG2z/++APz5s3DlStX8MQTT+D111+Hj4+PK2ujKsxPLiuY2UCAjAPBiIiIyAVKDbZjxoyBJEnw9/fHpUuX8Nprr5V6JYIgYO3atU4pkKoOlSggQCGDn0JgVwMiIiJyuVKDbdu2bTnlEt2RShRQQyGDr1yAkgsoEBERkRuVGmzXrFnjyjqoClHarAbGMEtERESeotzz2FL1ZAmzvlzaloiIiDwUgy2VSikrXNqWYZaIiIg8nVcFW51OhyVLluDQoUNQKBQYPnw4Ro4c6e6yqhSFTTcDhtnq42CyBstjc5CYY0S4v4jJrf3RpwFnQSEioqrFq4Lt8uXLce7cOaxcuRKpqamYO3cu6tati0cffdTdpXk0haVlVi6DWs4wW90cTNZg2oksKGVALaWAFI0R005k4YOHwHBLRERVitfMmK/RaLBr1y688cYbaNmyJbp3744RI0bgq6++cndpHkkhE1BLJUMDPznCa8gRrBYZaqup5bE5UMoAX7kMgmBeSEMpM28nIiKqSrwm2CYkJECn06Ft27bWbe3atcP58+dhMBjcWJnnUMgE1FTKUJ9hlmwk5hjhU6TbiY8oIDHH6KaKiIiI7o7XdEVIS0tDQEAAVCqVdVtQUBD0ej0yMzMREhLixurcRyET4Cc395n1YYilEoT7i0jRGOFr8/zQGCWE+4turIqIiKj8vCbYarVaKJVKu22W33U6XYmXSUhIcHpdZjJcTkx00W2ZZzPwlQO+MgAyCbckCbdcduvezXXPGdd5JkiGxReU0MkkqGWA1gToTQKeqZ+LhIRMd5fnFN54HqsjnkfvwPPoHVx1Hps2bVrmfq8JtkqlsliAtfyuVqtLvMydHpzKEht/AY3Cw516G3JBgJ/C/OUr95oeJh4lISHBZc8ZV2oKIKy+zawIgd49K4K3nsfqhufRO/A8egdPOo9eE2xr166N7Oxs6PV6KBQKAEB6ejqUSiUCAgLcXJ1zyGCZZ1aAr1zgEsh01/o08PHaIEtERNWH1zTtNWvWDAqFAufOnbNuO3v2LFq0aAG53GvyOwBzv9lglQzhNUTU9hXhp5Ax1BIREVG15zXBVq1W4/HHH8fixYvxxx9/4Mcff8SWLVswdOhQd5dWadSigDo+Iu7xF1FLLUKUMcwSERERWXhVU+aUKVOwcOFCTJw4EX5+fhgzZgz69Onj7rIqrIZChgAlZzUgIiIiKotXBVu1Wo25c+di7ty57i6lwuSCgAClgAClDHK2zBIRERHdkVcFW2+glAkIVMoQoORgMCIiIqLyYLD1EH5yc5j1U3hNt2ciIiIil2KwdSNREFBDYe5uoBTZOktERERUEQy2bqCQCaiplKGGUoCM3Q2IiIiIKgWDrQv5iAICVTL4s7sBERERUaVjsHUBhQA09JdDxe4GRERERE7DpkMXEGFiqCUiIiJyMgZbIiIiIvIKDLZERERE5BUYbImIiIjIKzDYEhEREZFXYLAlIiIiIq/AYEtEREREXoHBloiIiIi8AoMtEREREXkFBlsiIiIi8goMtkRERETkFYTMzEzJ3UUQEREREVUUW2yJiIiIyCsw2BIRERGRV2CwJSIiIiKvwGBLRERERF6BwbYS6HQ6LFiwAL169ULfvn2xadOmUo+Nj4/H6NGjERUVhZEjR+L8+fMurJTKUp7zePDgQTz77LPo1q0bhg8fjp9++smFlVJZynMeLbKystC3b1/s3bvXBRWSI8pzHi9fvowJEyYgKioKTz/9NA4fPuzCSqks5TmPp0+fxsiRI9GtWzc899xzOHHihAsrJUfodDo8++yzOHnyZKnHuDvnMNhWguXLl+PcuXNYuXIlZsyYgfXr1+PAgQPFjtNoNHj99dcRERGBTZs2oV27dpgyZQpyc3PdUDUV5eh5PH36NObMmYNnn30WW7duxRNPPIG33noLf//9txuqpqIcPY+2li5dioyMDBdVSI5w9Dzm5eXh1VdfRe3atbF161YMGTIEs2bNwsWLF91QNRXl6HnMyMjAm2++iV69euHzzz9H7969MW3aNFy/ft0NVVNJ8vPz7/i35Qk5h8G2gjQaDXbt2oU33ngDLVu2RPfu3TFixAh89dVXxY49ePAg5HI5Xn/9ddx7772YMmUK/P39cfDgQTdUTrbKcx737duHRx55BE8++SQaNmyIoUOH4sEHH+R59ADlOY8Wx48fx/nz51GrVi0XVkplKc953L9/P0RRxOzZs3HPPfdg6NCh6NSpE2JjY91QOdkqz3k8e/YsAGDUqFFo0KABXnzxRahUKsTFxbm6bCrBxYsXMXr0aCQnJ5d5nCfkHAbbCkpISIBOp0Pbtm2t29q1a4fz58/DYDDYHRsXF4c2bdpAJjM/7IIgoE2bNnwB9gDlOY9DhgzB6NGji12HTqdzep1UtvKcRwDIzc3FwoULMWPGDCgUCleWSmUoz3mMiYlBt27dIJfLrduWLVuGJ554wmX1UsnKcx4DAwORk5ODH374AZIk4X//+x/y8vJw3333ubpsKsGZM2fQqVMnrFu3rszjPCHnMNhWUFpaGgICAqBSqazbgoKCoNfrkZmZWezY0NBQu21BQUFITU11RalUhvKcx2bNmqFx48bW3y9cuICYmBi0b9/eVeVSKcpzHgFgxYoVePjhh9GhQwcXVkl3Up7zmJycjFq1amHRokXo168fnn/+efZ59xDlOY/t27fHv/71L8ycOROdO3fGW2+9henTp+Pee+91cdVUksGDB2Py5MlQq9VlHucJOYfBtoK0Wi2USqXdNsvvRVvwtFptsVYhpVIJvV7v3CLpjspzHm1lZGTgrbfeQrt27dC9e3en1kh3Vp7z+Pvvv+Pnn3/GpEmTXFYfOaY85zEvLw9btmxBjRo18NFHH6F3795466238Oeff7qsXipZec6jRqPBtWvXMHr0aGzYsAGvvvoqli5dyk80qxhPyDnyOx9CZVEqlcX+QC2/F/3PRqVSFTu5Op3ujv8BkfOV5zxapKSkYPLkyRBFEe+//771oxdyH0fPo1arxXvvvYc333wT/v7+Lq2R7qw8f4+iKKJJkyaYOHEiAKB58+Y4c+YMdu7ciZYtW7qmYCpRec7jli1boNfrMX78eADm83jx4kWsW7cOy5Ytc03BVGGekHP4TlxBtWvXRnZ2tt2JTE9Ph1KpREBAgN2xoaGhSE9Pt9uWnp6O4OBgl9RKpSvPeQSAq1evYty4cQCA1atXo2bNmq4qlcrg6Hk8f/48kpKSMHfuXHTv3h3du3fHzZs3sXDhQrz//vvuKJ1slOfvMSQkBI0aNbLbFh4ejhs3briiVCpDec7j+fPn7bp4AUDLli1x7do1l9RKlcMTcg6DbQU1a9YMCoUC586ds247e/YsWrRoYTeYAQAiIiJw7tw5SJIEAJAkCbGxsWjdurVLa6biynMes7Ky8Oqrr8Lf3x9r167lPyYexNHz2KpVK+zYsQNbtmyxfgUFBWHcuHHWFiNyn/L8PbZu3brYVHuXLl1CvXr1XFIrla485zEkJAT//POP3bZLly6hfv36LqmVKocn5BwG2wpSq9V4/PHHsXjxYvzxxx/48ccfsWXLFgwdOhSAuSO1VqsFADzyyCPQaDRYsmQJLl68iGXLliE3Nxd9+vRx510glO88rl69GpmZmZgzZw4MBgPS0tKQlpaGnJwcd94FguPnUa1Wo2HDhnZfoigiKCgIQUFBbr4XVJ6/x8GDB+PKlStYsWIFkpOTsW3bNpw8eRJPPfWUO+8CoXzn8amnnsLp06exadMmXL16Fbt27cLevXsxbNgwd94FcoCn5RwhMzNTctmteSmtVouFCxfiyJEj8PPzw3PPPYfnnnsOABAZGYm3334bAwYMAGD+uOX999/HpUuXcN9992H69OnsB+YhHD2Pffr0QVZWVrHL9+3bF/Pnz3d12VREef4ebQ0YMAAvv/xyifvI9cpzHmNjY/Hhhx/in3/+Qf369fHKK6+gW7du7iyfCpTnPB47dgxr165FYmIiwsLCMHbsWDzyyCPuLJ9KEBkZiZUrVyIyMtL6uyflHAZbIiIiIvIK7IpARERERF6BwZaIiIiIvAKDLRERERF5BQZbIiIiIvIKDLZERERE5BUYbImIiIjIKzDYEhFVEQsWLEBkZCTWrFnj7lKIiDwSgy0RURWg1Wpx8OBB3Hfffdi1axcMBoO7SyIi8jgMtkREVcAPP/wArVaL6dOnIz09Hf/73//cXRIRkcdhsCUiqgJ2796Ntm3bom3btmjRogV27NhR7Ji9e/di6NChiIqKwogRI3Dq1Ck8/PDD2Lt3r/WYlJQUzJ49G71790ZUVBTGjx+P2NhYV94VIiKnYbAlIvJwV65cwZkzZ/D4448DAAYMGIBTp07h8uXL1mP27duH+fPn4/7778f777+Pbt264c0334TJZLIek5mZiTFjxuDcuXN47bXXMH/+fIiiiIkTJ+LPP/909d0iIqp0DLZERB5uz5498PHxQe/evQEAffv2hVKpxH//+1/rMWvXrkWXLl3w9ttvo2vXrhg3bhxGjRoFSZKsx2zbtg0ZGRlYsWIFBg4ciJ49e2L58uUICwvDqlWrXH6/iIgqG4MtEZEHMxqN2LdvH6KiogAAeXl5kMvl6Ny5M/bt2wetVoukpCTcuHEDvXr1srts37597X7/7bff0KRJE4SFhcFgMFgHoEVFReH333+HXq93zZ0iInISubsLICKi0h0/fhxpaWk4cOAADhw4UGz/gQMH0KhRIwBAzZo17fYFBQXZ/Z6VlYWkpCR07ty5xNvKzMxEaGhopdRNROQODLZERB5s9+7dqFOnDt55551i++bMmYMdO3Zg8eLFAICMjAy7/bdu3bL73d/fH23btsWUKVNKvK2iwZiIqKphsCUi8lAZGRk4duwYnn32WbRr167Y/n79+mHdunVIT09HgwYNcOTIEQwaNMi6/9ChQ3bHP/DAA9i3bx8aNmyIGjVqWLcvX74cN2/exPz58512X4iIXIF9bImIPNT+/fthMBjw2GOPlbi/f//+AIAdO3Zg3LhxOHbsGN555x0cO3YMGzZswCeffAIAEAQBADB8+HAIgoAJEybg22+/xYkTJ7Bo0SJs2bIFjRo1sh5HRFRVCZmZmdKdDyMiIlcbOnQoTCYTvvrqq1KPGTt2LP766y/s27cPhw4dwpYtW3Djxg00btwYQ4YMwTvvvINFixahZ8+eAICrV69i1apV+PXXX5Gfn48GDRrg6aefxjPPPOOqu0VE5DQMtkREXmD//v1o2bIl7r33Xuu2n376CW+++Sa2bduGJk2auLE6IiLXYB9bIiIvcPDgQaxduxbjxo1DnTp1kJycjOjoaERGRjLUElG1wRZbIiIvkJmZiY8//hi//PILbt26haCgIPTq1Qvjx4+Hj4+Pu8sjInIJBlsiIiIi8gqcFYGIiIiIvAKDLRERERF5BQZbIiIiIvIKDLZERERE5BUYbImIiIjIKzDYEhEREZFX+H/oyGh8DU+kngAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Regression\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=NCDC_external[\"Age\"], y=NCDC_external[\"No. of Cases (Lab Confirmed)\"], data=NCDC_external).set_title('Age and infection Pattern in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "143c42d6", - "metadata": {}, - "source": [ - "The above plot displays the association between number of confirmed cases and age of populations. Though it can be infered from the regression trend that susceptibility to the covid infections are generally associated with elderly group in populations, many outliers indicates that many other age categories also were captured in high and low number of recorded lab confirmed cases." - ] - }, - { - "cell_type": "code", - "execution_count": 151, - "id": "75ed56aa", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Age\", y=\"No. of Deaths\", data=NCDC_external).set_title('Age and Mortality in States in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "5baf5607", - "metadata": {}, - "source": [ - "Apparently, the number of deaths tends to be more in the younger population because they are more in the overall population compared to the elderly group. The trendline of the regression does however indicate that the number of deaths recorded among the elderly group is still significant because they are less in population compared to the younger populace. " - ] - }, - { - "cell_type": "code", - "execution_count": 152, - "id": "6110820e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Bar plot for Mortality and Health Systems\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.barplot(x=\"Health System\", y=\"No. of Deaths\", data=NCDC_external).set_title('Mortality and Health System')" - ] - }, - { - "cell_type": "markdown", - "id": "bc686c82", - "metadata": {}, - "source": [ - "From the bar plots above, it is not clear whether health systems in states in Nigeria had any significant influence on the number of deaths recorded during the covid crisis." - ] - }, - { - "cell_type": "code", - "execution_count": 153, - "id": "a0805c69", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Bar plot for Discharged cases and Health Systems\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.barplot(x=\"Health System\", y=\"No. Discharged\", data=NCDC_external).set_title('Discharged Cases and Health System')" - ] - }, - { - "cell_type": "markdown", - "id": "70262c2a", - "metadata": {}, - "source": [ - "Health systems of a country may influence the overall health impact of coroner virus. Higher system indices show that health crisis mangagemnt are more effective and therefore there are chances that there will be higher number of discharged cases.\n", - "So far from the barplot, it is inconclusive to say that the health system of Nigeria influenced the number of covid discharged cases in Nigeria. This is further highlighted by the large error bars which indicates higher measure of dispersion from any possible trend." - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "id": "76e60106", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Health System in States')" - ] - }, - "execution_count": 154, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Plotting Health System in States\n", - "plt.figure(figsize = (8,12))\n", - "sns.barplot(x = NCDC_external['Health System'], y = NCDC_external['states'], data = NCDC_external, color = 'green').set_title('Health System in States')" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "id": "81e7c755", - "metadata": {}, - "outputs": [], - "source": [ - "#Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", - "#From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", - "#Hint: Use Pandas.melt to create your plot DataFrame\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 156, - "id": "71e84fea", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YearQ1Q2Q3Q4
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2201615943714.5416218542.4117555441.6918213537.29
3201715797965.8316334719.2717760228.1718598067.07
4201816096654.1916580508.0718081342.1019041437.59
5201916434552.6516931434.8918494114.1719530000.00
6202016740000.0015890000.0017820000.000.00
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" - ], - "text/plain": [ - " Year Q1 Q2 Q3 Q4\n", - "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", - "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", - "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", - "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", - "4 2018 16096654.19 16580508.07 18081342.10 19041437.59\n", - "5 2019 16434552.65 16931434.89 18494114.17 19530000.00\n", - "6 2020 16740000.00 15890000.00 17820000.00 0.00" - ] - }, - "execution_count": 156, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Declaring the dtat set to be used\n", - "RealGDP" - ] - }, - { - "cell_type": "code", - "execution_count": 157, - "id": "dd8ef945", - "metadata": {}, - "outputs": [], - "source": [ - "#Restructuring the RealGDP dataframe for easy readability and accessibility\n", - "Q_RealGDP= pd.melt(RealGDP, id_vars=['Year'], var_name='Quarter', value_name='Amount in Billion(N)')" - ] - }, - { - "cell_type": "code", - "execution_count": 158, - "id": "994c4a99", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YearQuarterAmount in Billion(N)
02014Q115438679.50
12015Q116050601.38
22016Q115943714.54
32017Q115797965.83
42018Q116096654.19
52019Q116434552.65
62020Q116740000.00
72014Q216084622.31
82015Q216463341.91
92016Q216218542.41
102017Q216334719.27
112018Q216580508.07
122019Q216931434.89
132020Q215890000.00
142014Q317479127.58
152015Q317976234.59
162016Q317555441.69
172017Q317760228.17
182018Q318081342.10
192019Q318494114.17
202020Q317820000.00
212014Q418150356.45
222015Q418533752.07
232016Q418213537.29
242017Q418598067.07
252018Q419041437.59
262019Q419530000.00
272020Q40.00
\n", - "
" - ], - "text/plain": [ - " Year Quarter Amount in Billion(N)\n", - "0 2014 Q1 15438679.50\n", - "1 2015 Q1 16050601.38\n", - "2 2016 Q1 15943714.54\n", - "3 2017 Q1 15797965.83\n", - "4 2018 Q1 16096654.19\n", - "5 2019 Q1 16434552.65\n", - "6 2020 Q1 16740000.00\n", - "7 2014 Q2 16084622.31\n", - "8 2015 Q2 16463341.91\n", - "9 2016 Q2 16218542.41\n", - "10 2017 Q2 16334719.27\n", - "11 2018 Q2 16580508.07\n", - "12 2019 Q2 16931434.89\n", - "13 2020 Q2 15890000.00\n", - "14 2014 Q3 17479127.58\n", - "15 2015 Q3 17976234.59\n", - "16 2016 Q3 17555441.69\n", - "17 2017 Q3 17760228.17\n", - "18 2018 Q3 18081342.10\n", - "19 2019 Q3 18494114.17\n", - "20 2020 Q3 17820000.00\n", - "21 2014 Q4 18150356.45\n", - "22 2015 Q4 18533752.07\n", - "23 2016 Q4 18213537.29\n", - "24 2017 Q4 18598067.07\n", - "25 2018 Q4 19041437.59\n", - "26 2019 Q4 19530000.00\n", - "27 2020 Q4 0.00" - ] - }, - "execution_count": 158, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Q_RealGDP" - ] - }, - { - "cell_type": "code", - "execution_count": 159, - "id": "8c2fcdb6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 159, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# generating a seaborn's barplot using the GDP values for each year & quarters\n", - "plt.figure(figsize = (10,5))\n", - "sns.barplot(x = 'Year', y = 'Amount in Billion(N)',hue = 'Quarter', data =Q_RealGDP).set_title('Annual-Quaterly GDP')\n", - "plt.legend(loc = 'lower left')\n", - "plt.axhline(y =15890000.00, label ='Hline', color ='black')" - ] - }, - { - "cell_type": "markdown", - "id": "6fe3ce42", - "metadata": {}, - "source": [ - "The second quarter of 2020 (onset of impact of pandemic in Nigeria) was used to apply an axhline threashold and bench mark for comparison of dataset parameters. \n", - "\n", - "\n", - "There is no record for the fourth quarter's GDP in 2020 \n", - "\n", - "\n", - "Economic activities during the fourth quarter was virtually grounded hence there is no record of GDP for fourth quater of 2020. This also means that 2020 has the lowest combined GDP in the years under review. \n", - "\n", - "\n", - "The impact of covid 19 was huge on Nigeria's economy around the second quarter, in 2020, because that was when the highest cases of daily infection were recorded. \n", - "\n", - "\n", - "The negative effects of covid on the population and the control measures enforced by the government affected productivity, all compared to other years included in the review. " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cb30a778", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From a5a050900f8bec2a2c64c43fbb9786a31f328fb9 Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Thu, 25 Aug 2022 04:27:32 -0700 Subject: [PATCH 04/19] Delete Nigeria-COVID-19-Data-Analysis-Using-Python .ipynb --- ...COVID-19-Data-Analysis-Using-Python .ipynb | 6329 ----------------- 1 file changed, 6329 deletions(-) delete mode 100644 Nigeria-COVID-19-Data-Analysis-Using-Python .ipynb diff --git a/Nigeria-COVID-19-Data-Analysis-Using-Python .ipynb b/Nigeria-COVID-19-Data-Analysis-Using-Python .ipynb deleted file mode 100644 index 35a896c5..00000000 --- a/Nigeria-COVID-19-Data-Analysis-Using-Python .ipynb +++ /dev/null @@ -1,6329 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "01395153", - "metadata": {}, - "source": [ - "# Task 1 - Data Collection\n", - "Here you will obtain the required data for the analysis. As described in the project instructions, you will perform a web scrap to obtain data from the NCDC website, import data from the JoHn Hopkins repository, and import the provided external data.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "66328de6", - "metadata": {}, - "source": [ - "# A - NCDC Website scrap\n", - "Website - https://covid19.ncdc.gov.ng/" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "eb9c700f", - "metadata": {}, - "outputs": [], - "source": [ - "# Importing all libraries\n", - "import os\n", - "os.chdir('C:\\\\Users\\\\OCHAI ODEH\\\\Downloads\\\\Nigeriadata')\n", - "import requests\n", - "import numpy as np\n", - "import urllib.request\n", - "import pandas as pd\n", - "import csv\n", - "from bs4 import BeautifulSoup\n", - "import seaborn as sns\n", - "sns.set_style(\"darkgrid\")\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline\n", - "plt.style.use('fivethirtyeight') \n", - "import warnings\n", - "warnings.filterwarnings('ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "2fb9112c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# checking response of server to get url request\n", - "\n", - "url = 'https://covid19.ncdc.gov.ng'\n", - "status_code = requests.get(url)\n", - "status_code" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "416ceaad", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 102877 129 \n", - "1 FCT 29075 146 \n", - "2 Rivers 17680 262 \n", - "3 Kaduna 11467 11 \n", - "4 Oyo 10327 6 \n", - "5 Plateau 10292 18 \n", - "6 Edo 7821 102 \n", - "7 Ogun 5810 11 \n", - "8 Delta 5631 349 \n", - "9 Ondo 5173 315 \n", - "10 Kano 5169 41 \n", - "11 Akwa Ibom 4973 22 \n", - "12 Kwara 4680 441 \n", - "13 Osun 3311 36 \n", - "14 Gombe 3310 6 \n", - "15 Enugu 2952 13 \n", - "16 Anambra 2825 46 \n", - "17 Nasarawa 2777 393 \n", - "18 Imo 2655 7 \n", - "19 Ekiti 2447 46 \n", - "20 Katsina 2418 0 \n", - "21 Abia 2226 11 \n", - "22 Benue 2129 340 \n", - "23 Ebonyi 2064 28 \n", - "24 Bauchi 1979 8 \n", - "25 Borno 1629 5 \n", - "26 Taraba 1473 62 \n", - "27 Bayelsa 1363 10 \n", - "28 Adamawa 1203 68 \n", - "29 Niger 1150 132 \n", - "30 Cross River 873 3 \n", - "31 Sokoto 822 0 \n", - "32 Jigawa 669 2 \n", - "33 Yobe 638 4 \n", - "34 Kebbi 480 10 \n", - "35 Zamfara 375 0 \n", - "36 Kogi 5 0 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 101977 771 \n", - "1 28680 249 \n", - "2 17264 154 \n", - "3 11367 89 \n", - "4 10119 202 \n", - "5 10199 75 \n", - "6 7398 321 \n", - "7 5717 82 \n", - "8 5170 112 \n", - "9 4749 109 \n", - "10 5001 127 \n", - "11 4907 44 \n", - "12 4175 64 \n", - "13 3183 92 \n", - "14 3238 66 \n", - "15 2910 29 \n", - "16 2760 19 \n", - "17 2345 39 \n", - "18 2590 58 \n", - "19 2373 28 \n", - "20 2381 37 \n", - "21 2181 34 \n", - "22 1764 25 \n", - "23 2004 32 \n", - "24 1947 24 \n", - "25 1580 44 \n", - "26 1377 34 \n", - "27 1325 28 \n", - "28 1103 32 \n", - "29 998 20 \n", - "30 845 25 \n", - "31 794 28 \n", - "32 649 18 \n", - "33 625 9 \n", - "34 454 16 \n", - "35 366 9 \n", - "36 3 2 \n" - ] - } - ], - "source": [ - "# Reading NCDC data from url to a DataFrame object.\n", - "url = 'https://covid19.ncdc.gov.ng'\n", - "html = requests.get(url).content\n", - "df_list = pd.read_html(html)\n", - "\n", - "#Saving the data from link to object nig_covid_cases\n", - "nig_covid_cases = df_list[-1]\n", - "print(nig_covid_cases)\n", - "nig_covid_cases.to_csv('ncdcdata.csv')\n" - ] - }, - { - "cell_type": "markdown", - "id": "9d65c790", - "metadata": {}, - "source": [ - "# B - John Hopkins Data Repository\n", - "Here you will obtain data from the John Hopkins repository. Your task here involves saving the data from the GitHub repo link to DataFrame for further analysis. Find the links below.\n", - "\n", - "Global Daily Confirmed Cases - Click Here Global Daily Recovered Cases - Click Here Global Daily Death Cases - Click Here\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "980b61f4", - "metadata": {}, - "outputs": [], - "source": [ - "#Saving the data from John Hopkin's repository's link into a DataFrame object\n", - "\n", - "confirmed_global= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", - "covid19_recovered_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", - "covid19_deaths_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "2e75c02c", - "metadata": {}, - "outputs": [], - "source": [ - "JH_confirmed_global=confirmed_global\n", - "JH_deaths_global=covid19_deaths_global\n", - "JH_recovered_global=covid19_recovered_global" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "184a6b6a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
0NaNAfghanistan33.9391167.709953000000...7758775877597759775977597759775977627767
1NaNAlbania41.1533020.168300000000...3570357135713573357435743575357635763576
2NaNAlgeria28.033901.659600000000...6878687868786878687868786878687868786878
3NaNAndorra42.506301.521800000000...154154154154154154154154154154
4NaNAngola-11.2027017.873900000000...1917191719171917191719171917191719171917
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5 rows × 948 columns

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" - ], - "text/plain": [ - " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", - "0 NaN Afghanistan 33.93911 67.709953 0 0 \n", - "1 NaN Albania 41.15330 20.168300 0 0 \n", - "2 NaN Algeria 28.03390 1.659600 0 0 \n", - "3 NaN Andorra 42.50630 1.521800 0 0 \n", - "4 NaN Angola -11.20270 17.873900 0 0 \n", - "\n", - " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", - "0 0 0 0 0 ... 7758 7758 7759 \n", - "1 0 0 0 0 ... 3570 3571 3571 \n", - "2 0 0 0 0 ... 6878 6878 6878 \n", - "3 0 0 0 0 ... 154 154 154 \n", - "4 0 0 0 0 ... 1917 1917 1917 \n", - "\n", - " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", - "0 7759 7759 7759 7759 7759 7762 7767 \n", - "1 3573 3574 3574 3575 3576 3576 3576 \n", - "2 6878 6878 6878 6878 6878 6878 6878 \n", - "3 154 154 154 154 154 154 154 \n", - "4 1917 1917 1917 1917 1917 1917 1917 \n", - "\n", - "[5 rows x 948 columns]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Reading some of the data from John Hopkin's repository\n", - "JH_deaths_global.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39a878bc", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "219c82cd", - "metadata": {}, - "source": [ - "# External Data\n", - "\n", - "Save the external data to a DataFrame\n", - "External Data includes but not limited to: covid_external.csv, Budget data.csv, RealGDP.csv" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "dc07766f", - "metadata": {}, - "outputs": [], - "source": [ - "#Saving external data into dataaframe object\n", - "covid_external = pd.read_csv('covid_external.csv')\n", - "Budget_data = pd.read_csv('Budget data.csv')\n", - "RealGDP = pd.read_csv('RealGDP.csv')\n", - "covidnig = pd.read_csv('covidnig.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "706c1245", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26,7082,43524,037236
1FCT9,6272,8406,69493
2Kaduna4,5045793,87748
3Plateau4,2622803,94834
4Oyo3,7883683,37446
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" - ], - "text/plain": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 26,708 2,435 \n", - "1 FCT 9,627 2,840 \n", - "2 Kaduna 4,504 579 \n", - "3 Plateau 4,262 280 \n", - "4 Oyo 3,788 368 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 24,037 236 \n", - "1 6,694 93 \n", - "2 3,877 48 \n", - "3 3,948 34 \n", - "4 3,374 46 " - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Reading some of the dataframes\n", - "covidnig.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "8a8ccd9e", - "metadata": {}, - "outputs": [], - "source": [ - "# Combining all 'external' dataframe objects provided using the merge() function on identical column\n", - "merged_t1 = pd.merge(covid_external, Budget_data, on= 'states', how ='outer', sort= True)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "2b982227", - "metadata": {}, - "outputs": [], - "source": [ - "#Renaming of a column is necessary if web scrapped data from NCDC's link is to be merged with 'external' dataframe on isentical column 'states'.\n", - "covidnig_rn = covidnig.rename(columns={'States Affected':'states'})" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "38c0df7a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 37 non-null object\n", - " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", - " 2 No. of Cases (on admission) 37 non-null object\n", - " 3 No. Discharged 37 non-null object\n", - " 4 No. of Deaths 37 non-null int64 \n", - "dtypes: int64(1), object(4)\n", - "memory usage: 1.6+ KB\n" - ] - } - ], - "source": [ - "#Checking if Renaming was successful and type of data in imported data from NCDC's link.\n", - "covidnig_rn.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "f8304c9b", - "metadata": {}, - "outputs": [], - "source": [ - "# values of data are object\n", - "# All data values has to be converted to appropriate type (numeric). We use pd.to_numeric and apply the conversion.\n", - "covidnig_rndf = covidnig_rn[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", - "covidnig_rn[covidnig_rndf] = covidnig_rn[covidnig_rndf].apply(pd.to_numeric,errors='coerce')" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "edc5e80b", - "metadata": {}, - "outputs": [], - "source": [ - "covidnig_rn.replace(',','', regex=True, inplace=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "f3fa815d", - "metadata": {}, - "outputs": [], - "source": [ - "#Final merger of external dataframe and NCDC's data also using the pd.merge() function\n", - "merged_t2 = pd.merge(merged_t1,covidnig_rn, on= 'states', how ='outer', sort=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "cfef53ba", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df = merged_t2.append(RealGDP, ignore_index=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "e6d82b00", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised_budget (Bn)No. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsYearQ1Q2Q3Q4
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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5 rows × 23 columns

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" - ], - "text/plain": [ - " states region Population Overall CCVI Index Age \\\n", - "0 Abia South East 4190000.0 0.2 0.9 \n", - "1 Adamawa North East 4672000.0 0.8 0.5 \n", - "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", - "3 Akwa-Ibom NaN NaN NaN NaN \n", - "4 Anambra South East 6050000.0 0.6 0.9 \n", - "\n", - " Epidemiological Fragility Health System Population Density \\\n", - "0 0.6 0.1 0.3 0.9 \n", - "1 0.6 0.9 0.7 0.3 \n", - "2 0.7 0.6 0.8 0.8 \n", - "3 NaN NaN NaN NaN \n", - "4 1.0 0.6 0.2 1.0 \n", - "\n", - " Socio-Economic ... Revised_budget (Bn) No. of Cases (Lab Confirmed) \\\n", - "0 0.2 ... 102.70 980.0 \n", - "1 0.7 ... 139.31 355.0 \n", - "2 0.5 ... NaN 395.0 \n", - "3 NaN ... 366.00 NaN \n", - "4 0.0 ... 112.80 299.0 \n", - "\n", - " No. of Cases (on admission) No. Discharged No. of Deaths Year Q1 Q2 \\\n", - "0 25.0 945.0 10.0 NaN NaN NaN \n", - "1 96.0 238.0 21.0 NaN NaN NaN \n", - "2 44.0 342.0 9.0 NaN NaN NaN \n", - "3 NaN NaN NaN NaN NaN NaN \n", - "4 6.0 274.0 19.0 NaN NaN NaN \n", - "\n", - " Q3 Q4 \n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Viewing the data\n", - "#Obtain basic information about the merged data using the head() and info() method.\n", - "combined_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "570617ef", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 48 entries, 0 to 47\n", - "Data columns (total 23 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 41 non-null object \n", - " 1 region 37 non-null object \n", - " 2 Population 37 non-null float64\n", - " 3 Overall CCVI Index 37 non-null float64\n", - " 4 Age 37 non-null float64\n", - " 5 Epidemiological 37 non-null float64\n", - " 6 Fragility 37 non-null float64\n", - " 7 Health System 37 non-null float64\n", - " 8 Population Density 37 non-null float64\n", - " 9 Socio-Economic 37 non-null float64\n", - " 10 Transport Availability 37 non-null float64\n", - " 11 Acute IHR 37 non-null float64\n", - " 12 Initial_budget (Bn) 37 non-null float64\n", - " 13 Revised_budget (Bn) 37 non-null float64\n", - " 14 No. of Cases (Lab Confirmed) 21 non-null float64\n", - " 15 No. of Cases (on admission) 35 non-null float64\n", - " 16 No. Discharged 22 non-null float64\n", - " 17 No. of Deaths 37 non-null float64\n", - " 18 Year 7 non-null float64\n", - " 19 Q1 7 non-null float64\n", - " 20 Q2 7 non-null float64\n", - " 21 Q3 7 non-null float64\n", - " 22 Q4 7 non-null float64\n", - "dtypes: float64(21), object(2)\n", - "memory usage: 8.8+ KB\n" - ] - } - ], - "source": [ - "combined_df.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "7333933a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "states 37\n", - "Initial_budget (Bn) 37\n", - "Revised_budget (Bn) 37\n", - "dtype: int64" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Budget_data.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "cbb55a48", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "states 37\n", - "region 6\n", - "Population 37\n", - "Overall CCVI Index 11\n", - "Age 11\n", - "Epidemiological 11\n", - "Fragility 11\n", - "Health System 11\n", - "Population Density 11\n", - "Socio-Economic 11\n", - " Transport Availability 11\n", - "Acute IHR 22\n", - "dtype: int64" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covid_external.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "53f0b8ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "States Affected 37\n", - "No. of Cases (Lab Confirmed) 37\n", - "No. of Cases (on admission) 33\n", - "No. Discharged 37\n", - "No. of Deaths 30\n", - "dtype: int64" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "6f484eb5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Year 7\n", - "Q1 7\n", - "Q2 7\n", - "Q3 7\n", - "Q4 7\n", - "dtype: int64" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "RealGDP.nunique()" - ] - }, - { - "cell_type": "markdown", - "id": "0b06d036", - "metadata": {}, - "source": [ - "# Task 2 - View the data\n", - "Obtain basic information about the data using the head() and info() method." - ] - }, - { - "cell_type": "markdown", - "id": "5c63dae6", - "metadata": {}, - "source": [ - "# Viewing the separate external data and NCDC's data: Obtaining basic information about the data using the head() and info() method." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "540f2dee", - "metadata": {}, - "outputs": [], - "source": [ - "covid_external = pd.read_csv('covid_external.csv')\n", - "Budget_data = pd.read_csv('Budget data.csv')\n", - "RealGDP = pd.read_csv('RealGDP.csv')\n", - "covidnig = pd.read_csv('covidnig.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "4cba08be", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
0FCTNorth Central48650000.30.00.90.40.60.90.60.20.79
1PlateauNorth Central47660000.40.50.40.80.30.30.50.30.93
2KwaraNorth Central35240000.30.40.30.20.40.20.60.70.93
3NassarawaNorth Central27830000.10.30.50.90.00.10.60.50.85
4NigerNorth Central62600000.60.00.60.30.70.10.80.80.84
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" - ], - "text/plain": [ - " states region Population Overall CCVI Index Age \\\n", - "0 FCT North Central 4865000 0.3 0.0 \n", - "1 Plateau North Central 4766000 0.4 0.5 \n", - "2 Kwara North Central 3524000 0.3 0.4 \n", - "3 Nassarawa North Central 2783000 0.1 0.3 \n", - "4 Niger North Central 6260000 0.6 0.0 \n", - "\n", - " Epidemiological Fragility Health System Population Density \\\n", - "0 0.9 0.4 0.6 0.9 \n", - "1 0.4 0.8 0.3 0.3 \n", - "2 0.3 0.2 0.4 0.2 \n", - "3 0.5 0.9 0.0 0.1 \n", - "4 0.6 0.3 0.7 0.1 \n", - "\n", - " Socio-Economic Transport Availability Acute IHR \n", - "0 0.6 0.2 0.79 \n", - "1 0.5 0.3 0.93 \n", - "2 0.6 0.7 0.93 \n", - "3 0.6 0.5 0.85 \n", - "4 0.8 0.8 0.84 " - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covid_external.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "520ff38f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 37 non-null object \n", - " 1 region 37 non-null object \n", - " 2 Population 37 non-null int64 \n", - " 3 Overall CCVI Index 37 non-null float64\n", - " 4 Age 37 non-null float64\n", - " 5 Epidemiological 37 non-null float64\n", - " 6 Fragility 37 non-null float64\n", - " 7 Health System 37 non-null float64\n", - " 8 Population Density 37 non-null float64\n", - " 9 Socio-Economic 37 non-null float64\n", - " 10 Transport Availability 37 non-null float64\n", - " 11 Acute IHR 37 non-null float64\n", - "dtypes: float64(9), int64(1), object(2)\n", - "memory usage: 3.6+ KB\n" - ] - } - ], - "source": [ - "covid_external.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "4c915f29", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesInitial_budget (Bn)Revised_budget (Bn)
0Abia136.60102.70
1Adamawa183.30139.31
2Akwa-Ibom597.73366.00
3Anambra137.10112.80
4Bauchi167.20128.00
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" - ], - "text/plain": [ - " states Initial_budget (Bn) Revised_budget (Bn)\n", - "0 Abia 136.60 102.70\n", - "1 Adamawa 183.30 139.31\n", - "2 Akwa-Ibom 597.73 366.00\n", - "3 Anambra 137.10 112.80\n", - "4 Bauchi 167.20 128.00" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Budget_data.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "47bf9836", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 3 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 37 non-null object \n", - " 1 Initial_budget (Bn) 37 non-null float64\n", - " 2 Revised_budget (Bn) 37 non-null float64\n", - "dtypes: float64(2), object(1)\n", - "memory usage: 1016.0+ bytes\n" - ] - } - ], - "source": [ - "Budget_data.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "ac2af73e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YearQ1Q2Q3Q4
0201415438679.5016084622.3117479127.5818150356.45
1201516050601.3816463341.9117976234.5918533752.07
2201615943714.5416218542.4117555441.6918213537.29
3201715797965.8316334719.2717760228.1718598067.07
4201816096654.1916580508.0718081342.1019041437.59
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" - ], - "text/plain": [ - " Year Q1 Q2 Q3 Q4\n", - "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", - "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", - "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", - "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", - "4 2018 16096654.19 16580508.07 18081342.10 19041437.59" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "RealGDP.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "b7496c7f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 7 entries, 0 to 6\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Year 7 non-null int64 \n", - " 1 Q1 7 non-null float64\n", - " 2 Q2 7 non-null float64\n", - " 3 Q3 7 non-null float64\n", - " 4 Q4 7 non-null float64\n", - "dtypes: float64(4), int64(1)\n", - "memory usage: 408.0 bytes\n" - ] - } - ], - "source": [ - "RealGDP.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "140000d9", - "metadata": {}, - "outputs": [], - "source": [ - "#Removing coma from the data values from NCDC website\n", - "covidnig.replace(',','', regex=True, inplace=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "a79d0775", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
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" - ], - "text/plain": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 26708 2435 \n", - "1 FCT 9627 2840 \n", - "2 Kaduna 4504 579 \n", - "3 Plateau 4262 280 \n", - "4 Oyo 3788 368 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 24037 236 \n", - "1 6694 93 \n", - "2 3877 48 \n", - "3 3948 34 \n", - "4 3374 46 " - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "id": "3aba9131", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 States Affected 37 non-null object\n", - " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", - " 2 No. of Cases (on admission) 37 non-null object\n", - " 3 No. Discharged 37 non-null object\n", - " 4 No. of Deaths 37 non-null int64 \n", - "dtypes: int64(1), object(4)\n", - "memory usage: 1.6+ KB\n" - ] - } - ], - "source": [ - "covidnig.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "id": "41d9cc75", - "metadata": {}, - "outputs": [], - "source": [ - "# Converting NCDC's data into appropriate data type (from object to int)\n", - "newcovidnig = covidnig[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", - "covidnig[newcovidnig] = covidnig[newcovidnig].apply(pd.to_numeric,errors='coerce')" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "id": "24c38b3c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 States Affected 37 non-null object\n", - " 1 No. of Cases (Lab Confirmed) 37 non-null int64 \n", - " 2 No. of Cases (on admission) 37 non-null int64 \n", - " 3 No. Discharged 37 non-null int64 \n", - " 4 No. of Deaths 37 non-null int64 \n", - "dtypes: int64(4), object(1)\n", - "memory usage: 1.6+ KB\n" - ] - } - ], - "source": [ - "# Checking: conversion is successful\n", - "covidnig.info()" - ] - }, - { - "cell_type": "markdown", - "id": "37f9ebed", - "metadata": {}, - "source": [ - "# Task 3 - Data Cleaning and Preparation" - ] - }, - { - "cell_type": "markdown", - "id": "e20024dc", - "metadata": {}, - "source": [ - "From the information obtained above, you will need to fix the data format.\n", - "Examples:\n", - "\n", - ">Convert to appropriate data type.\n", - ">Rename the columns of the scraped data.\n", - ">Remove comma(,) in numerical data\n", - ">Extract daily data for Nigeria from the Global daily cases data" - ] - }, - { - "cell_type": "markdown", - "id": "df15f68f", - "metadata": {}, - "source": [ - "TODO A - Clean the scraped data" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "id": "80bead0f", - "metadata": {}, - "outputs": [], - "source": [ - "#Data Cleaning and Preparation: Clean the scraped data\n", - "#Renaming columns of dataframe" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "id": "fb588afb", - "metadata": {}, - "outputs": [], - "source": [ - "#Renaming of columns of merged dataframe\n", - "combined_df.rename(columns = {'states':'State', 'region': 'Region', 'Initial_budget (Bn)': 'Initial Budget in Billion', 'Revised_budget (Bn)': 'Revised Budget in Billion', 'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths', 'Q1': 'First Quarter', 'Q2': 'Second Quarter', 'Q3': 'Third Quarter', 'Q4':'Fourth Quarter'}, inplace = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "id": "fd6cac5c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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StateRegionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised Budget in BillionNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of DeathsYearFirst QuarterSecond QuarterThird QuarterFourth Quarter
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
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5 rows × 23 columns

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" - ], - "text/plain": [ - " State Region Population Overall CCVI Index Age \\\n", - "0 Abia South East 4190000.0 0.2 0.9 \n", - "1 Adamawa North East 4672000.0 0.8 0.5 \n", - "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", - "3 Akwa-Ibom NaN NaN NaN NaN \n", - "4 Anambra South East 6050000.0 0.6 0.9 \n", - "\n", - " Epidemiological Fragility Health System Population Density \\\n", - "0 0.6 0.1 0.3 0.9 \n", - "1 0.6 0.9 0.7 0.3 \n", - "2 0.7 0.6 0.8 0.8 \n", - "3 NaN NaN NaN NaN \n", - "4 1.0 0.6 0.2 1.0 \n", - "\n", - " Socio-Economic ... Revised Budget in Billion \\\n", - "0 0.2 ... 102.70 \n", - "1 0.7 ... 139.31 \n", - "2 0.5 ... NaN \n", - "3 NaN ... 366.00 \n", - "4 0.0 ... 112.80 \n", - "\n", - " Number of Lab Confirmed Cases Number of Cases on Admission \\\n", - "0 980.0 25.0 \n", - "1 355.0 96.0 \n", - "2 395.0 44.0 \n", - "3 NaN NaN \n", - "4 299.0 6.0 \n", - "\n", - " Number of Cases Discharged Number of Deaths Year First Quarter \\\n", - "0 945.0 10.0 NaN NaN \n", - "1 238.0 21.0 NaN NaN \n", - "2 342.0 9.0 NaN NaN \n", - "3 NaN NaN NaN NaN \n", - "4 274.0 19.0 NaN NaN \n", - "\n", - " Second Quarter Third Quarter Fourth Quarter \n", - "0 NaN NaN NaN \n", - "1 NaN NaN NaN \n", - "2 NaN NaN NaN \n", - "3 NaN NaN NaN \n", - "4 NaN NaN NaN \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Checking if renamig is successful\n", - "combined_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "id": "2e595642", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "State object\n", - "Region object\n", - "Population float64\n", - "Overall CCVI Index float64\n", - "Age float64\n", - "Epidemiological float64\n", - "Fragility float64\n", - "Health System float64\n", - "Population Density float64\n", - "Socio-Economic float64\n", - " Transport Availability float64\n", - "Acute IHR float64\n", - "Initial Budget in Billion float64\n", - "Revised Budget in Billion float64\n", - "Number of Lab Confirmed Cases float64\n", - "Number of Cases on Admission float64\n", - "Number of Cases Discharged float64\n", - "Number of Deaths float64\n", - "Year float64\n", - "First Quarter float64\n", - "Second Quarter float64\n", - "Third Quarter float64\n", - "Fourth Quarter float64\n", - "dtype: object" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Checking data tyoes in columns of merged dataframe\n", - "combined_df.dtypes" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "id": "37941bb4", - "metadata": {}, - "outputs": [], - "source": [ - "JH_confirmed_global=confirmed_global\n", - "JH_deaths_global=covid19_deaths_global\n", - "JH_recovered_global=covid19_recovered_global" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "a3831d28", - "metadata": {}, - "outputs": [], - "source": [ - "# Saved global data from John Hopkin's repository" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "id": "dd04542b", - "metadata": {}, - "outputs": [], - "source": [ - "# Saved global data from John Hopkin's repository\n", - "JH_confirmed_global=confirmed_global\n", - "JH_deaths_global=covid19_deaths_global\n", - "JH_recovered_global=covid19_recovered_global" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "id": "928f0f66", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
0NaNAfghanistan33.93911067.709953000000...188820189045189343189477189710190010190254190435190643191040
1NaNAlbania41.15330020.168300000000...321345321804322125322837323282323829325241325736326077326181
2NaNAlgeria28.0339001.659600000000...269008269141269269269381269473269556269650269731269805269894
3NaNAndorra42.5063001.521800000000...45899458994589945899459754597545975459754597545975
4NaNAngola-11.20270017.873900000000...102636102636102636102636102636102636102636102636102636102636
..................................................................
200Cook IslandsNew Zealand-21.236700-159.777700000000...6209620962406265626562656265626562656265
201NaNNew Zealand-40.900600174.886000000000...1687705169126116962391700900170559717095411712957171516517180091721836
202NaNNicaragua12.865416-85.207229000000...14872148721487214872148991489914899148991489914899
203NaNNiger17.6077898.081666000000...9132913291399139915791579183918391839203
204NaNNigeria9.0820008.675300000000...262520262520262520262664262664262748262748262912262912262912
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205 rows × 948 columns

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" - ], - "text/plain": [ - " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", - "0 NaN Afghanistan 33.939110 67.709953 0 0 \n", - "1 NaN Albania 41.153300 20.168300 0 0 \n", - "2 NaN Algeria 28.033900 1.659600 0 0 \n", - "3 NaN Andorra 42.506300 1.521800 0 0 \n", - "4 NaN Angola -11.202700 17.873900 0 0 \n", - ".. ... ... ... ... ... ... \n", - "200 Cook Islands New Zealand -21.236700 -159.777700 0 0 \n", - "201 NaN New Zealand -40.900600 174.886000 0 0 \n", - "202 NaN Nicaragua 12.865416 -85.207229 0 0 \n", - "203 NaN Niger 17.607789 8.081666 0 0 \n", - "204 NaN Nigeria 9.082000 8.675300 0 0 \n", - "\n", - " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", - "0 0 0 0 0 ... 188820 189045 189343 \n", - "1 0 0 0 0 ... 321345 321804 322125 \n", - "2 0 0 0 0 ... 269008 269141 269269 \n", - "3 0 0 0 0 ... 45899 45899 45899 \n", - "4 0 0 0 0 ... 102636 102636 102636 \n", - ".. ... ... ... ... ... ... ... ... \n", - "200 0 0 0 0 ... 6209 6209 6240 \n", - "201 0 0 0 0 ... 1687705 1691261 1696239 \n", - "202 0 0 0 0 ... 14872 14872 14872 \n", - "203 0 0 0 0 ... 9132 9132 9139 \n", - "204 0 0 0 0 ... 262520 262520 262520 \n", - "\n", - " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", - "0 189477 189710 190010 190254 190435 190643 191040 \n", - "1 322837 323282 323829 325241 325736 326077 326181 \n", - "2 269381 269473 269556 269650 269731 269805 269894 \n", - "3 45899 45975 45975 45975 45975 45975 45975 \n", - "4 102636 102636 102636 102636 102636 102636 102636 \n", - ".. ... ... ... ... ... ... ... \n", - "200 6265 6265 6265 6265 6265 6265 6265 \n", - "201 1700900 1705597 1709541 1712957 1715165 1718009 1721836 \n", - "202 14872 14899 14899 14899 14899 14899 14899 \n", - "203 9139 9157 9157 9183 9183 9183 9203 \n", - "204 262664 262664 262748 262748 262912 262912 262912 \n", - "\n", - "[205 rows x 948 columns]" - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#viewing basic information from John Hopkin's global data\n", - "JH_confirmed_global.head(n=205)" - ] - }, - { - "cell_type": "markdown", - "id": "76f529ac", - "metadata": {}, - "source": [] - }, - { - "cell_type": "markdown", - "id": "4e1a79f9", - "metadata": {}, - "source": [ - "TODO B - Get a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", - "\n", - "TODO C - Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases\n", - "\n", - "TODO D - Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "id": "8ea0ac17", - "metadata": {}, - "outputs": [], - "source": [ - "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", - "# The data frames will be restructured to make data accessible and extractable. We restructure dataframe using pd.melt() and drop() method\n", - "JH_Daily_confirmed = pd.melt(JH_confirmed_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Confirmed Cases')" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "id": "b7c7345b", - "metadata": {}, - "outputs": [], - "source": [ - "# Still converting data tpe: Date column values is to be converted into standard Datetime format\n", - "JH_Daily_confirmed['Date'] = pd.to_datetime(JH_Daily_confirmed['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "id": "0f5ba3ca", - "metadata": {}, - "outputs": [], - "source": [ - "#delete other columns aside date and country/region using the drop()method\n", - "JH_Daily_Confirmeddf= JH_Daily_confirmed.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "id": "c1f8e51e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Country/RegionDateConfirmed Cases
0Afghanistan2020-01-220
1Albania2020-01-220
2Algeria2020-01-220
3Andorra2020-01-220
4Angola2020-01-220
............
269035West Bank and Gaza2022-08-22698384
269036Winter Olympics 20222022-08-22535
269037Yemen2022-08-2211915
269038Zambia2022-08-22332527
269039Zimbabwe2022-08-22256628
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269040 rows × 3 columns

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" - ], - "text/plain": [ - " Country/Region Date Confirmed Cases\n", - "0 Afghanistan 2020-01-22 0\n", - "1 Albania 2020-01-22 0\n", - "2 Algeria 2020-01-22 0\n", - "3 Andorra 2020-01-22 0\n", - "4 Angola 2020-01-22 0\n", - "... ... ... ...\n", - "269035 West Bank and Gaza 2022-08-22 698384\n", - "269036 Winter Olympics 2022 2022-08-22 535\n", - "269037 Yemen 2022-08-22 11915\n", - "269038 Zambia 2022-08-22 332527\n", - "269039 Zimbabwe 2022-08-22 256628\n", - "\n", - "[269040 rows x 3 columns]" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#checking if the formatting of dataframe for global confirmed Cases is as expected\n", - "JH_Daily_Confirmeddf" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "id": "3906e952", - "metadata": {}, - "outputs": [], - "source": [ - "#Applying formatting tools used for global confirmed cases to Dataframe of global recoveries and Deaths\n", - "\n", - "JH_Daily_Recovery = pd.melt(JH_recovered_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Recovered Cases')\n", - "JH_Daily_Recovery['Date'] = pd.to_datetime(JH_Daily_Recovery['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "id": "f2abb71a", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Recoverydf= JH_Daily_Recovery.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "id": "e230f423", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Deaths = pd.melt(JH_deaths_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Death Cases')\n", - "JH_Daily_Deaths['Date'] = pd.to_datetime(JH_Daily_Deaths['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "id": "057b66ac", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Deathsdf= JH_Daily_Deaths.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "id": "b0836c34", - "metadata": {}, - "outputs": [], - "source": [ - "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "id": "e88a3fda", - "metadata": {}, - "outputs": [], - "source": [ - "Nigeria = JH_Daily_confirmed[JH_Daily_confirmed['Country/Region'] == 'Nigeria']" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "id": "2addb352", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Confirmed_Nigeriadf= Nigeria[['Date', 'Confirmed Cases']].reset_index(drop = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "id": "d8573def", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateConfirmed Cases
02020-01-220
12020-01-230
22020-01-240
32020-01-250
42020-01-260
.........
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9402022-08-19262748
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" - ], - "text/plain": [ - " Date Confirmed Cases\n", - "0 2020-01-22 0\n", - "1 2020-01-23 0\n", - "2 2020-01-24 0\n", - "3 2020-01-25 0\n", - "4 2020-01-26 0\n", - ".. ... ...\n", - "939 2022-08-18 262748\n", - "940 2022-08-19 262748\n", - "941 2022-08-20 262912\n", - "942 2022-08-21 262912\n", - "943 2022-08-22 262912\n", - "\n", - "[944 rows x 2 columns]" - ] - }, - "execution_count": 69, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "JH_Daily_Confirmed_Nigeriadf" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "id": "d7bdc7dc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Confirmed Cases 135384240\n", - "dtype: int64" - ] - }, - "execution_count": 70, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "id": "25a3156b", - "metadata": {}, - "outputs": [], - "source": [ - "# Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "id": "864d686b", - "metadata": {}, - "outputs": [], - "source": [ - "Nigeria = JH_Daily_Recovery[JH_Daily_Recovery['Country/Region'] == 'Nigeria']\n", - "JH_Daily_Recovery_Nigeriadf= Nigeria[['Date', 'Recovered Cases']].reset_index(drop = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "id": "fc332724", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateRecovered Cases
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" - ], - "text/plain": [ - " Date Recovered Cases\n", - "0 2020-01-22 0\n", - "1 2020-01-23 0\n", - "2 2020-01-24 0\n", - "3 2020-01-25 0\n", - "4 2020-01-26 0\n", - ".. ... ...\n", - "939 2022-08-18 0\n", - "940 2022-08-19 0\n", - "941 2022-08-20 0\n", - "942 2022-08-21 0\n", - "943 2022-08-22 0\n", - "\n", - "[944 rows x 2 columns]" - ] - }, - "execution_count": 73, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "JH_Daily_Recovery_Nigeriadf" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "id": "e1dd3a3d", - "metadata": {}, - "outputs": [], - "source": [ - "#Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "id": "f77a30c0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Recovered Cases 39492087\n", - "dtype: int64" - ] - }, - "execution_count": 75, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Getting total recovered cases in Nigeria upto Aug. 2022\n", - "JH_Daily_Recovery_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "id": "d1ad4519", - "metadata": {}, - "outputs": [], - "source": [ - "Nigeria = JH_Daily_Deaths[JH_Daily_Deaths['Country/Region'] == 'Nigeria']\n", - "JH_Daily_DeathsNigeriadf= Nigeria[['Date', 'Death Cases']].reset_index(drop = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "id": "b411a9c2", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Death Cases 1774393\n", - "dtype: int64" - ] - }, - "execution_count": 77, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Getting total Deaths status in Nigeria upto Aug. 2022\n", - "JH_Daily_DeathsNigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "id": "b8aaf40a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateDeath Cases
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12020-01-230
22020-01-240
32020-01-250
42020-01-260
.........
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944 rows × 2 columns

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" - ], - "text/plain": [ - " Date Death Cases\n", - "0 2020-01-22 0\n", - "1 2020-01-23 0\n", - "2 2020-01-24 0\n", - "3 2020-01-25 0\n", - "4 2020-01-26 0\n", - ".. ... ...\n", - "939 2022-08-18 3147\n", - "940 2022-08-19 3147\n", - "941 2022-08-20 3147\n", - "942 2022-08-21 3147\n", - "943 2022-08-22 3147\n", - "\n", - "[944 rows x 2 columns]" - ] - }, - "execution_count": 78, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "JH_Daily_DeathsNigeriadf" - ] - }, - { - "cell_type": "markdown", - "id": "99c3f031", - "metadata": {}, - "source": [ - "# Task 4 - Analysis" - ] - }, - { - "cell_type": "markdown", - "id": "7447454a", - "metadata": {}, - "source": [ - "Here you will perform some analyses on the datasets. You are welcome to communicate findings in charts and summary.\n", - "We have included a few TODOs to help with your analysis. However, do not let this limit your approach, feel free to include more, and be sure to support your findings with chart and summary" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "c1db4c7a", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "995657f6", - "metadata": {}, - "source": [ - "TODO A - Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory test" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "15a28b4c", - "metadata": {}, - "outputs": [], - "source": [ - "# To Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory \n", - "#First renaming columns from original dataframe fro link (data cleaning)\n", - "covidnig\n", - "covidnig.rename(columns = {'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths'}, inplace = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "id": "9a1b289e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
10Ondo179362169041
11Katsina1405214116724
12Enugu137634132121
13Kwara1296171109431
14Gombe116418395031
15Ebonyi109124103730
16Abia9802594510
17Osun9792093722
18Bauchi89710877514
19Borno7783770536
20Imo7346166112
21Nasarawa60026232513
22Benue5154446011
23Bayelsa4975542121
24Ekiti405243756
25Akwa Ibom395443429
26Jigawa3865731811
27Niger3816930012
28Adamawa3559623821
29Anambra299627419
30Sokoto2284017117
31Taraba203191777
32Yobe164331238
33Kebbi14351308
34Cross River9318111
35Zamfara791735
36Kogi5032
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" - ], - "text/plain": [ - " States Affected Number of Lab Confirmed Cases \\\n", - "0 Lagos 26708 \n", - "1 FCT 9627 \n", - "2 Kaduna 4504 \n", - "3 Plateau 4262 \n", - "4 Oyo 3788 \n", - "5 Rivers 3279 \n", - "6 Edo 2768 \n", - "7 Ogun 2382 \n", - "8 Kano 2032 \n", - "9 Delta 1843 \n", - "10 Ondo 1793 \n", - "11 Katsina 1405 \n", - "12 Enugu 1376 \n", - "13 Kwara 1296 \n", - "14 Gombe 1164 \n", - "15 Ebonyi 1091 \n", - "16 Abia 980 \n", - "17 Osun 979 \n", - "18 Bauchi 897 \n", - "19 Borno 778 \n", - "20 Imo 734 \n", - "21 Nasarawa 600 \n", - "22 Benue 515 \n", - "23 Bayelsa 497 \n", - "24 Ekiti 405 \n", - "25 Akwa Ibom 395 \n", - "26 Jigawa 386 \n", - "27 Niger 381 \n", - "28 Adamawa 355 \n", - "29 Anambra 299 \n", - "30 Sokoto 228 \n", - "31 Taraba 203 \n", - "32 Yobe 164 \n", - "33 Kebbi 143 \n", - "34 Cross River 93 \n", - "35 Zamfara 79 \n", - "36 Kogi 5 \n", - "\n", - " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", - "0 2435 24037 236 \n", - "1 2840 6694 93 \n", - "2 579 3877 48 \n", - "3 280 3948 34 \n", - "4 368 3374 46 \n", - "5 232 2987 60 \n", - "6 52 2603 113 \n", - "7 174 2175 33 \n", - "8 198 1778 56 \n", - "9 57 1737 49 \n", - "10 62 1690 41 \n", - "11 214 1167 24 \n", - "12 34 1321 21 \n", - "13 171 1094 31 \n", - "14 183 950 31 \n", - "15 24 1037 30 \n", - "16 25 945 10 \n", - "17 20 937 22 \n", - "18 108 775 14 \n", - "19 37 705 36 \n", - "20 61 661 12 \n", - "21 262 325 13 \n", - "22 44 460 11 \n", - "23 55 421 21 \n", - "24 24 375 6 \n", - "25 44 342 9 \n", - "26 57 318 11 \n", - "27 69 300 12 \n", - "28 96 238 21 \n", - "29 6 274 19 \n", - "30 40 171 17 \n", - "31 19 177 7 \n", - "32 33 123 8 \n", - "33 5 130 8 \n", - "34 1 81 11 \n", - "35 1 73 5 \n", - "36 0 3 2 " - ] - }, - "execution_count": 80, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "id": "7dbfc744", - "metadata": {}, - "outputs": [], - "source": [ - "#Sorting top 10 states with highest lab confirmed cases by using df.sort_values()\n", - "\n", - "covidnig_lab10confirmed = covidnig.sort_values('Number of Lab Confirmed Cases', ascending = False)\n", - "covidnig_lab10confirmed = covidnig_lab10confirmed.iloc[:10,]" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "id": "83f35642", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
\n", - "
" - ], - "text/plain": [ - " States Affected Number of Lab Confirmed Cases \\\n", - "0 Lagos 26708 \n", - "1 FCT 9627 \n", - "2 Kaduna 4504 \n", - "3 Plateau 4262 \n", - "4 Oyo 3788 \n", - "5 Rivers 3279 \n", - "6 Edo 2768 \n", - "7 Ogun 2382 \n", - "8 Kano 2032 \n", - "9 Delta 1843 \n", - "\n", - " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", - "0 2435 24037 236 \n", - "1 2840 6694 93 \n", - "2 579 3877 48 \n", - "3 280 3948 34 \n", - "4 368 3374 46 \n", - "5 232 2987 60 \n", - "6 52 2603 113 \n", - "7 174 2175 33 \n", - "8 198 1778 56 \n", - "9 57 1737 49 " - ] - }, - "execution_count": 82, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#checking top 10 states\n", - "covidnig_lab10confirmed" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "id": "2d8a31e5", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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PHz8mODiYGzduEBERofL6tm3bcuzYMdzc3PD19aVWrVp899132NnZqfT/pH15Onr0KKdOnVI5ftoHW1q/poODA8uXL2f79u0cOXIEOzs7ateuTd26dd/bCvE+b/ebpb1vbyZmdVlbW9OjRw9WrVrFrFmzmDt3rlqvu3HjBgCVKlVKt65y5coqX4hevnzJgwcPKFCgACtXrky3fVhYGJB6fbz596jOiHZ9fX1l/MDDhw8JCgri8ePH3L9/nwsXLgCpXQFve7sMtbS00NfX/6BRqM2aNaNZs2bExMRw8eJFzp8/z19//UVISAgrVqwgMTGRwYMHZ/p6TU1NGjZsCMDff//NvXv3lNjTvry9L+mmXZNPnjzB29s73fo8efLw+PFjXr58iaGhIc2aNeOPP/6gbdu2VKpUiVq1amFvb58tI6AlYeYiac2ZGSUJQPlQi4+PV1n+5qCSNGnNL2nNqJ9C2j2iMTEx6Y75vtjTREVFvXcwR1rMac28b0tLgG+WQ/Pmzdm9ezcHDx7ExcWFI0eOkJCQ8N4mxpiYmAz7ZEG9e2Kjo6PfGeubXrx4gbu7O3/88YeSSL755huqVavG/fv3VT4Ya9WqxbJly1i7di1nz55l69atbN26FUNDQ3r06KE0PaeVlZ+f33tjNDU1ZdWqVaxcuZKjR49y8OBBlVr4uHHj0tWI1PV2q0Naje2/9ENC6v2yR44c4fjx4xw8eFBlMFhm0mptbzY9ptHS0lJpMUgrt4iICJW+47e9ePFC5fc3v6y8y+XLl1mwYIGSPHR1dbGysqJChQqZjiR/s8UlzZs13w9haGhIvXr1qFevHiNGjGDnzp3MnDmTTZs20a9fv3d+sb137x7z5s1T+iq1tLSwtLSkYsWKBAUFvfc9TSuzM2fOcObMmXdulzdvXn788UfKli3L7t27uXLlCleuXMHLy4vSpUszYcIEKleu/B9K4L+RhJmLpH1YZdYMlTZowdjYWGV5Rs2gaR8IJiYmnyy+tA+tJ0+eUKpUKZV1ISEhKttkJm/evJkOLomLiyNPnjxKOYSHh2e4XVoCeLMcqlevTuHChZWEefDgQfT19d/b/2FkZJTpl4r3NT3Bv+/Z+84J4KeffsLf35+WLVvi6OhImTJllC8YzZs3T1eTqFq1KlWrViU+Pp7Lly9z8uRJdu/ezbJlyyhSpAhNmzYlT548aGpqcuzYMbU+zIsUKcKkSZOYMGECt2/f5tSpU+zZs4c//vgDfX19lRvbs5Ouri6TJk1S7u+dPn36e1+T9l5k9n6++R6lbVu5cmWWL1/+CSL+V2hoKEOHDkVHR4exY8dStWpVSpQogba2NqdOneLPP//8pMd78OABw4cPp0aNGkyePDndeg0NDVq3bs2hQ4c4ffo0oaGh6f5+08TGxjJ48GBevHjBwIED+e677yhZsiS6uroEBweze/fu98aTVrYTJkxQqw9aW1ubrl270rVrV8LCwjh37hyHDh3C39+fESNGsGvXrve2XH0q0oeZi6Q1QVy5ciXD9ZcuXQJId7HfvHkz3bZpfS9v9yF8jLRbOS5evJhuXdqy930btLKy4unTpzx9+jTdOmdnZ5o1a4a+vj5Fixbl0aNHPHv2LNNjvVkOmpqaNG3aVOl3On/+PPXr139vjalcuXKEh4crCT9NYmKiWtP9GRoaYmZmxt27d5Vm6TTJycm0atWKnj178uLFC/z9/bG2tubHH3+katWqSrKMjIzk+fPnKt/c161bx7Jly4DUJr5atWoxcuRIpk6dCvzbt2ltbU1ycjJ37txJF9udO3dYtGiR8i3/yJEj/Prrr8TExKCpqUmFChXo16+fMlHAm/2lOYGtrS3t2rUjIiKCxYsXv3f7tG6KtKbZN6XdmpPG0NCQb775hqCgoHQtNpDat+3l5ZXhaNb3OXr0KPHx8Tg7O9OhQwesrKyU/t0HDx4A/73mnRFTU1OePn2qDHLLTEpKCpqamkoLTUa113PnzvHs2TPatWtH7969sba2VloPgoKC0m2f0T7SPsfeHmsBqX8TixcvZt26daSkpPD48WM8PDyUqfvMzMxwdHRkwYIFNGjQgOjoaLVHq38KkjBzEXNzc2Vgz6ZNm1TW7d+/n5MnT1K6dOl0bfs7duxQud0kJCQEPz8/jIyM3ju67kNUrVqVb775hh07dqgMRLh+/brSJ5Y2ojMzaU2kHh4eKv1b/v7+BAQEUKNGDbS1tXF0dOT169csWLBAZbt79+7h5+eHnp4e33//vcq+0+5Xmz17NklJSWqN+EwbFp92m0uaDRs2ZJjUMzun2NjYdP0127ZtIyoqim+//RYdHR20tLR48eKFSmJNSEhg1qxZJCcnq5znmTNnWLVqVbqRnaGhoQDKPZNp97y5u7ur1Kzi4+OZNWsWa9euVQZrPXz4kG3btrFt2zaVfT59+pSkpKT33oeZHQYPHkzhwoXVuj2lcuXKWFpacuDAAZVyi4+PZ9GiRem2d3R0JCYmhkWLFqn0yz1+/JhZs2axZs2a93YxZCStLzoiIkJleXBwsHKv8H/p282MoaEhjo6OREZGMnHixHS3z0BqEj937pwyZR6gJPE3r/vMYg8PD1dm8Xoz9rR9vHlNV6lShWLFirFr1y7lS36ajRs34ufnx6VLl9DQ0EBPTw8/Pz+8vLxU9pGUlKTcp5xRl1NWkSbZXGbChAk4Ozszb948jh07hrW1NUFBQZw6dQoTExPlZuO39evXDwcHB7S0tDh8+DCxsbFMmzYtXfPtx9DS0mL8+PGMHDmS3r1706xZM16/fq2MEh05cuR799GqVSsOHz7Mvn37uHv3LjVq1CAiIoJDhw5RsGBBhg8fDkCPHj04c+YMBw4c4O7du9SsWZOoqCiOHj1KQkICP/74Y7o/JCsrK6ytrQkICFAmDnifxo0bc/jwYQ4dOkSPHj2ws7MjODiY06dPU7Ro0XQ1z4z07t0bf39/1qxZw6VLl7CxseHRo0f89ddfWFpa0rdvX2Vg0p9//knv3r2pVasWr1694sSJE4SFhWFsbExUVBSxsbEYGBjQv39/Ll26xMCBA/n+++8pXLgwDx8+5Pjx4xQpUkQZRV2tWjW6du3K+vXr6dSpE3Xr1kVPT4/jx4/z5MkTmjZtqnxpatu2LTt27MDDw4MLFy5QpkwZIiMjOXToELq6uvTr1++95/q5GRgYMG7cOEaNGvXebTU0NJg0aRKDBg3C1dWVhg0bkj9/fk6dOqX0q715i0jPnj05c+YMW7Zs4erVq1SrVo24uDj+/PNPYmNjGTduXIb9oe9Tt25djIyMWLNmDcHBwRQvXpyQkBD++usvpa87o6T2MUaOHMnDhw85ceIEbdq0oVatWhQrVoxXr15x/fp1rl+/jqWlJePHj1dekz9/fvT09Lh8+TLz58+nZs2a1KhRg6JFi3LgwAGio6MpW7Ys//zzD8ePH0dDQwMdHR2V2NMG7x05coR8+fJRv359qlSpwtSpUxk6dCgDBw7E3t6eYsWKcffuXU6fPo2pqanycIdChQrRuXNnNmzYQOfOnalTpw5aWlqcPXuWu3fv0qlTp48ekPYhpIaZyxQrVow1a9bQrl07Hj58yObNmwkKCqJ9+/asXbuW0qVLp3tNz5496dixIydPnuTgwYOULVuWJUuWZMlkyLVr12bx4sVYWVmxc+dOjh49ip2dHd7e3pn2i7xJS0uL+fPnM3DgQBITE9m6dSunT5/GwcEBX19fpblIV1eXxYsX4+rqSkpKCtu2bePMmTPUqlULHx+fTGc/SatVNm7cWOU2h3f5+eefGTJkCImJiWzbto2///6bX375JdPRym/LmzcvXl5e9OzZk2fPnrFp0yauX79OmzZt8PT0VPpfJk2aRNeuXYmNjWXz5s2cOHGC0qVL4+npSceOHQE4ffo0kNqU7uXlRa1atbhw4QLr16/n1q1btG3bluXLl6t8ERo+fDjTpk3jm2++Yf/+/ezatQsjIyPGjh3LlClTlGYzIyMjPD096dChA48fP2bTpk0cP36cmjVrsnz58myfxDwz9vb277w16E02NjZ4eXlRrVo1/P392blzJyVLllRqR2+ORNbT08PDw4P+/fuTkJDAtm3bOH78OBUqVGDRokW0b9/+P8VbqFAhlixZgp2dHRcvXmTLli3cv3+ftm3bsnHjRooUKcKFCxc+aS1TX1+fpUuXMnXqVKpWrcq1a9fYsGEDu3btIikpicGDB7NmzRqVMQ3a2tqMHz+e/Pnzs3XrVo4fP06ePHlYvHgx33//vdLSdePGDb7//nvWrl2LjY0NgYGBSleJmZkZgwYNQltbm99++41z584Bqe/DqlWraNy4MVevXmXTpk08evSIdu3asXLlSpWWqKFDhzJ+/HgMDQ3Zu3cv27ZtQ1tbmwkTJrzzqUlZQSMyMvLTNZaLHCWzqcGE+Bq9evWKZ8+eYWZmlm7y9pCQENq2bUv79u0ZN25cNkUocjqpYQohvgovX76kTZs2uLi4pLtXcM2aNYD6s1qJr5P0YQohvgr58+fHwcGBQ4cO0b17d6UP+/Lly8ozXt+cHF2It0nCFEJ8NaZNm0aVKlXYs2cPO3bsICUlhWLFijFs2DA6der0nycCEF8H6cMUQggh1CB9mEIIIYQaJGEKIYQQapCEKYQQQqhBBv18pHPn1H+0zpfqzQnEv3ZSFv+SsviXlMW/srIszM01sbDQev+G/5EM+vlItrbvf2KFEEKIrOfjY0jNmukfg/apSJOsEEIIoQZJmEIIIYQacmTCtLOz4+zZs9kdhhBCCKHIkQlTCCGEyGkkYQohhBBqyJW3lezatQs/Pz8eP36MgYEBDg4OjB49Wnm+4fr161m3bh0vX76kRYsW3Lt3jxYtWuDo6EhycjLr1q1j27ZthIeHU6FCBUaNGoW1tTUAhw4dwtvbm5CQEMzMzOjduzctW7bMztMVQgiRA+S6Gubly5eZPXs2AwYMYOvWrYwfP57du3dz5MgRAPbt24e3tzfDhw/H19eX0NBQLl68qLze19eXdevWMWLECNasWUORIkUYNmwYsbGxRERE8OOPP9KlSxc2b95M7969+eWXX3jw4EE2na0QQoicItclTD09PSZNmkTDhg355ptvcHBwwNramqCgIAA2b95Mx44dady4MVZWVkyZMgU9PT0AUlJS+O2333BycqJevXpYWloyadIktLW12bt3L//88w+JiYkUKlSIb775hpYtW7J48WIKFCiQnacshBAiB8h1TbLly5dHT08Pb29v7t+/z927d3n06BE1a9YE4O7du3Tv3l3Z3sjIiBIlSgAQERFBdHQ0lSpVUtZra2tTvnx5Hjx4QIcOHWjatCkjRoygWLFi1K1bF0dHR4yMjD7vSQohhMhxcl0N89SpU/Ts2ZPw8HBq1arFr7/+io2NjbJeSyv9tEgpKamTGaXVNN+WnJxMUlISGhoaTJ8+nTVr1tCsWTMuXbpEnz59OH36dNacjBBCiFwj1yXMHTt20KJFCyZOnEibNm0oWbIkISEhSlIsVaoUt27dUraPiYnh8ePHABgaGmJqasr169eV9YmJidy+fZsSJUrw4MEDFixYQLly5XBxccHPzw9bW1uOHj36Wc9RCCFEzpNjm2Rv3bpFUlKSyrLKlStjbGzMtWvXCAwMRFNTk9WrVxMeHk5CQuok6B07dmTmzJmUK1cOS0tLvL29efnypbKPbt264evrS+HChSlevDhr1qwhPj6eJk2akJKSwu+//46BgQEtWrQgNDSUu3fv0rhx48967kIIIXKeHJswlyxZkm7ZqlWrcHZ2xs3NjX79+mFgYMB3333H//73P+7cuQNAkyZNePToEbNmzeL169e0atWKIkWKoKOTOiFvly5diI2NZebMmcTExFC5cmW8vLwoWLAgALNmzWLJkiX4+flhZGRE+/btad269ec7cSGEEDnSF/e0kosXL1K0aFHMzMyA1CbXJk2aMGfOHKpXr/7JjydPKxFCiJwhq59WkmNrmP/V0aNHuXbtGuPHjydv3rxs3LgRAwMDlZGxQgghxIfKdYN+3qd///4UL16cwYMH061bN4KDg1m4cGGmI2SFEEIIdXxxNUwDAwPc3NyyOwwhhBBfmC8uYX5uPj6G2R1CtouLiyNPnjzZHUaOIGXxLymLf0lZ/Csry8LcPGsbTb+4QT/i8wsMDKRMmTLZHUaOIGXxLymLf0lZ/Cs3l8UX14cphBBCZAVJmEIIIYQaJGEKIYQQapBBPx/p3LmE7A4h28XFmREZ+fWVg7m5JhYW6Sf7F0J8mSRhfiRn55jsDiGH+PrKwcfHUBKmEF8RaZIVQggh1CAJUwghhFBDrm+Sbd26NaGhoemWlypVio0bNwKpD5328/Pj9u3baGlpUalSJVxdXSlbtiwAdnZ27zzG2bNnP33gQgghcpVcnzABhg0bRtOmTVWWaWunntqmTZvw8PDAxcWFMWPGkJSUxIYNG+jfvz9eXl6ULVuWvXv3Kq+bO3cumpqajBw58rOegxBCiJzti0iYBgYGmJqaplseEhLCokWLmDRpEj/88IOy/Mcff+TJkycsXbqUhQsXqrxWV1cXLS2tDPcnhBDi6/VFJMzM7N+/H2NjY5o1a5Zu3YQJE0hJkVkBhRBCqOeLTpiBgYGUK1cOTc30Y5uKFy+eDREJIYTIrb6IhDl37lwWLFigsuz3338nJiaG/PnzZ1NUQgghviRfRMJ0cnLCwcFBZZmxsTHGxsa8ePEim6ISQgjxJfki7sM0MTHBwsJC5UdLS4sKFSpw69atDPsqT5w4waRJk0hMTMyGiIUQQuQ2X0TCzIyDgwOxsbEqt40AJCcns27dOqKiopTbT4QQQoh3+aKzhZmZGf3792fmzJlERkZib29PTEyMMomBr69vdocohBAil/iiEyZA9+7dKVSoEJs2bcLX1xcdHR1sbGzw9fXFysoqu8MTQgiRS+T6hLljx473btO0adN0MwFlZtq0aR8bkhBCiC/QF92HKYQQQnwqkjCFEEIINeT6Jtns5uNjmN0hZLu4uDjy5MmT3WF8dubm8n1TiK+JJMyPVLOmTnaHkO0CAx9QpkyZ7A5DCCGylHxFFkIIIdQgCVMIIYRQgyRMIYQQQg3Sh/mRzp1LyO4QPgtzc00sLLSyOwwhhMg2kjA/krNzTHaH8Fn4+BhKwhRCfNWkSVYIIYRQgyRMIYQQQg2fNWHa2dlx9uxZlWWXLl3C3t6euXPn/qd9Llu2DFdX108RnhBCCJGpbK1hBgYGMmrUKBo3bsyoUaOyMxQhhBDinbItYYaEhDBs2DDs7OyYNGkSGhoa2RWKEEII8V7ZMko2IiKCoUOHUrp0aaZPn46W1r+jL8PDw5k7dy7nzp0jPj4eS0tLRo4cSbVq1QC4f/8+M2fO5Pbt21SpUoVixYopr929ezeenp7s3r1bWebq6kqVKlUYMGAAbm5uGBoa8vz5c44fP06hQoXo06cPjo6Oah1bCCHE1+uz1zBjY2MZNmwYYWFhTJ8+HR0d1blYp0yZQmJiIr6+vvj5+WFmZsasWbMAeP36NSNGjKBIkSL4+fnRoEEDtZ6H+aatW7dibW2Nn58ftWrVYtasWURFRb332EIIIb5unz1hzp49GwAdHR1Wr16dbr29vT1jxozB0tKSUqVK0aFDB4KCgkhJSeHs2bNERkYybtw4SpYsSYcOHahfv/4HHb906dL07NmTEiVKMGDAAF69esW9e/fee2whhBBft8/eJGtkZMTixYv5888/mTt3Lg0bNqRy5crK+vbt23PgwAGuXr1KcHAwt2/fBiApKYmgoCCKFi1K3rx5le3Lly/PqVOn1D5+0aJFlf8bGqY+misxMfG9x9bWljkehBDia/bZs8Dw4cMxMTGhffv27N+/n2nTprF27Vr09PRITk5m8ODBREdH07hxY+zt7UlISGDcuHGZ7u99iSwpKUnl97ebgNP8l2MLIYT4enz2Jtm0AT4aGhpMnDiR0NBQvLy8AAgKCuLSpUssXryYvn37UrduXZ49e6a81srKikePHhEdHa0su3PnjvJ/HR0dYmNjlSbUlJQUnjx5olZc7zu2EEKIr1um1TNHR8cPutVj165dH3xwS0tLevfuja+vLw0aNMDMzAxNTU0OHjxIgwYNuHnzJt7e3kDqgB87Ozu++eYbpk+fzoABA7h+/TqHDx+mUqVKAFSoUIHY2FjWrFlDo0aN2LJli0pyfRdDQ8N3HluaZIUQ4uuWaQ2zZs2ayk+NGjV4/vw58fHxVK9enWbNmlGrVi1SUlKIjo7GwcHhPwfQu3dvSpYsyfTp0zE2NmbcuHGsW7eOTp06sWrVKkaNGoW2tjZ37txBW1ubBQsWEBsbS69evdi+fTvt27dX9mVhYcGwYcPYsGED3bt3JyEhgcaNG6sVh5mZ2TuPLYQQ4uumERkZ+d4hoN7e3pw6dQoPDw8MDAyU5a9evWL48OGULFnyq+3rs7V9nt0hfBY+PobUrJlx/29gYCBlypT5zBHlTFIW/5Ky+JeUxb9yc1mo1Ye5detWevbsqZIsAfT09OjcuTMHDx7MkuCEEEKInEKthJmUlER8fHyG654/f46mpjz0RAghxJdNrUxXs2ZNPD09CQgIUFl+9epVvLy8sLe3z5LghBBCiJxCraGfI0eOxMXFhZ49e2Jubk7+/Pl59uwZT58+xdramuHDh2dxmDmXj49hdofwWZibSyuCEOLrplbCLFSoEBs3bmTPnj1cvHiRqKgoLCwssLOzo1mzZl/1LReZDYQRQgjxZVE70+np6dGuXTvatWuXlfEIIYQQOZLaCfPly5ds3ryZM2fOEB4ezsyZMzl58iQVK1aUx18JIYT44qmVMMPDw+nfvz9hYWGULVuWhw8fkpCQwKVLl/D09GTRokVUr149q2PNkc6dS8juELKMubkmFhZa799QCCG+AmolzIULF5KUlMTmzZspVKgQderUAVIf1TV06FB8fX2/2oTp7ByT3SFkGR8fQ0mYQgjx/9Qa+njq1ClcXFz45ptvVOaX1dbWplOnTgQGBmZZgEIIIUROoFbCTEhISDfLTxoNDQ3leZJCCCHEl0qtJtkKFSrw22+/UbduXWVZWk1z7969lC9fXu0Dtm7dmtDQUOV3LS0tzMzMaNu2Lb169cLV1ZUqVaowYMCA9+4rIiKCCxcuqD3BuhBCCPFfqZUwBwwYwIABA+jatSt16tRBQ0ODvXv3smTJEs6fP4+Hh8cHHXTYsGE0bdoUSJ1279y5c/zyyy8UKlTog/bj4eFBYmKiJEwhhBBZTq0mWRsbG5YuXYqRkREbNmwgJSWFTZs2ER0djbu7+wffVmJgYICpqSmmpqaYmZnh6OhIzZo1OXz48AftJ+1B0UIIIURWU/s+zCpVquDj48OrV6+Ijo7G0NCQPHnyAJCYmPjRs/1oaWmhq6ursiwxMZGlS5dy4MABnj17RqFChejZsycdOnTA29ubPXv2AHDlyhV27NhBTEwMc+fO5dixY+jp6VGvXj2GDRum9L/+9ddfeHt7ExQUhI6ODrVr12bixIkYGhri7e3NuXPn8PHxUY7funVr+vTpQ5s2bT7q3IQQQuR+atUw27RpozxEWU9Pj0KFCinJ8sqVKzRv3vw/B5CYmMiRI0c4c+YM9erVU1m3evVqjh8/zsyZM9myZQuOjo7MmzePf/75h+7du9OoUSO+//57Vq1aBcD06dOJiorC29ubBQsWEBwczLRp0wAICQlh/PjxtGvXjt9++42ZM2dy/vx5tm3b9p9jF0II8fXItFq4evVq5ZFeoaGhbNq0CTMzs3TbXb9+neTk5A866Ny5c1mwYAGQ+hBqfX19unTpQrNmzdi+fbuynZWVFZMmTaJy5coA9O7dG19fX4KDg6lRowZ6enokJSWRP39+Hj9+zNGjRzlw4ADGxsYATJ06ldatWxMWFkZSUhIjR46kbdu2ABQpUgQ7Ozvu37//QbELIYT4OmWaMJOTk1mxYgWQOiI2rfnzTZqamhgaGuLq6vpBB3VycsLBwQEAXV1dTE1N0dJKf4N8gwYNOHPmDO7u7gQHB3P79m0ltrcFBQWRkpJCq1at0q0LDg7Gzs4OXV1dVqxYwf3795WfJk2afFDsQgghvk6ZJsw+ffrQp08fAL799lu8vb2pUqXKJzmoiYkJFhYW791u2bJl/P7777Rs2ZLmzZszduxYWrduneG2SUlJ5MmTh7Vr16ZbZ2pqSkBAAM7Oztjb22Nra0vXrl3ZsGGDss2bEzK8uU8hhBAC1Bz0s337dgoVKsSjR4+URBcZGUlQUBBVq1bNsuC2bdvG6NGjlVtQ0ppP00bHvpnkSpQoQVxcHMnJyZQoUQKAR48e4e7uzoQJE/jjjz+wsbHh559/Vl7z5vno6OgQGxurrIuLiyMiIiLLzk0IIUTuotagnzx58uDq6sqwYcOUZTdu3MDV1ZUhQ4YQE5M186kaGxtz4sQJQkJCuHLlClOnTgXg9evXSlyhoaE8ffoUS0tLateuzZQpU7h+/ToBAQFMnTqViIgITE1NMTY25v79+1y/fp2HDx/i7u7OzZs3SUhInTy9QoUK3L17lz/++IOHDx8yc+bMDJuJhRBCfJ3USpiLFy/m77//ZsyYMcqy2rVrs3jxYh48eICnp2eWBPfjjz9y7949OnfuzNSpU3FwcKBSpUoEBAQA0KJFC0JCQujWrRspKSm4ublhYWHBkCFDcHV1pVChQsyZMweATp06YWNjw5AhQ3ByciI0NBQnJydlXzVr1qR79+7MnTuXfv36UaJECWxsbLLkvIQQQuQ+GpGRke+9+7958+YMGzaMZs2apVu3e/duPD092b17d5YEmNPZ2j7P7hCyjI+PITVr6rx3u8DAQMqUKfMZIsr5pCz+JWXxLymLf+XmslCrhhkXF6fcd/k2Y2NjoqKiPmlQQgghRE6jVsIsW7asyv2Rb9q5cyfW1tafMiYhhBAix1FrlGyfPn0YMWIEXbt2pUGDBhQoUIDIyEiOHTvG3bt3mT9/flbHKYQQQmQrtRJmrVq1mD9/Pt7e3qxYsYKUlBQ0NDSwtrZmzpw51K5dO6vjzLF8fAyzO4QsY26uVgOEEEJ8FdSeMb127drUrl07w8nXv2bqDIoRQgiR+31QFeLp06ccOnSIvXv3Ehsby+3bt0lMTMyq2IQQQogcQ+0apoeHB+vXrycpKQkNDQ2+/fZbFi9ezPPnz1myZAn58+fPyjiFEEKIbKVWDXPdunWsW7cOFxcXNm7cqExN17dvX549e4aXl1eWBimEEEJkN7VqmFu3bqVXr1707t1bZULy6tWr4+LiwsqVK7MswJzu3LmE7A7ho5iba2JhIVMACiHE+6iVMJ8+fZrpk0osLCyIjIz8lDHlKs7OWTOP7ufi42MoCVMIIdSgVpOsmZkZly5dynDd9evXMTc3/6RBCSGEEDmNWjXMNm3asGzZMvT19alfvz4AMTExHDhwAD8/P3r37p2VMQohhBDZTq2E2b17d0JDQ/H29sbb2xuAwYMHA6kTs/fs2TPrIvwAERER+Pj48NdffxEVFYWZmRlNmzalR48e6OvrZ3d4QgghcrFME+aFCxeoUKECefLkQUNDg7Fjx9KlSxfOnz9PZGQk+fLlo2rVqlhZWX3OeDP19OlTnJ2dKVKkCG5ubnzzzTfcvXuXZcuW4e/vj6enpyRNIYQQ/1mmCXPMmDHMnTuXatWqMWDAAEaPHo2VlRUWFhafMz61zZkzh8KFC7N48WK0tVNPq0iRIlStWpXOnTuzfPlyBg0alM1RCiGEyK0yHfSTlJTEnTt3SEpK4uLFi7x48YLk5ORMf7JTREQEf/31F7169VKSZZp8+fLRuXNndu7cyeDBg5k1a5bK+kmTJjF37lwAgoKCGDp0KA0bNuSHH37A29s7289NCCFEzpBpDbNWrVq4u7uzcOFCNDQ0cHV1zXQnGhoanDp1KksCVMft27dJTk6mYsWKGa63tbVl8eLFVKlSha1btzJ69Gi0tLSIj4/nxIkTLF68mMjISFxcXKhXrx4rVqzg4cOH/PLLL+TJk4cePXp85jMSQgiR02SaMH/66SeqV69OVFQUvr6+ODo65tjbR6Kjo4HU2mRGjIyMAKhRowZr1qzh0qVL1KhRgxMnTmBiYkLlypX57bff0NPTY8KECWhra2NpaUl4eDheXl6SMIUQQmSeMCdNmsSgQYMoU6YMFy9epEuXLpQuXfpzxqa2tIT47NkzzMzM0q3/559/AChQoAB169blzz//pEaNGvz55580adIEDQ0NgoKCKFu2rEqTro2NDZGRkURGRmJiYvJZzkUIIUTOlGkfZtpoWIBLly7x8uXLzxXTB6tQoQJaWlrcunUrw/U3b97ExMSEokWL0rRpU44ePUpsbCz+/v40adIEAF1d3XSvS+u/fHM6QCGEEF+nTGuYhQoVwsPDg9q1a5OSksL27dsz7afU0NDAxcUly4J8HxMTExwcHPD19aVu3boqtcSYmBjWr19Py5Yt0dbW5rvvviMhIYE1a9ZQpEgRypQpA4ClpSWHDx8mMTFRef21a9cwMjKSJ7EIIYTIPGEOGjSIWbNmsXLlSjQ0NNizZ0+mO8nuhAkwfPhw+vfvz5AhQ5T7Me/fv8+SJUswMzPD2dkZSK1JNmjQgPXr16vMUNS0aVO8vb2ZOXMm3bt359GjR3h7e9O+fXs0NT/osaFCCCG+QJkmzEaNGtGoUSMAvv32W3x8fLCxsflsgX0oU1NTli9fzsqVK3FzcyMiIiLTmX6aNGnCrl27lOZYgLx587Jw4ULmzZtHjx49MDExoVOnTvTp0yc7TkcIIUQOo9bUeMuWLct0Rp/4+Hj27dtHmzZtPmVc/4mJiQkjRoxgxIgR79wuPDycihUrppuEwdraWp7tKYQQIkNqJcxq1aqlW3b//n22bdvGH3/8QWxsbI5ImO8TEhLCzZs3Wb58eY6Z/1YIIUTuoFbCTJOYmMiRI0fYunUrly9fJiUlBRsbGxwdHbMqvk/qyZMnTJ8+ne+++46WLVtmdzhCCCFyEbUSZmhoKL///js7d+7k+fPnaGho0LZtW7p3707RokWzOsZPpmbNmhw/fvyT7tPHx/CT7u9zMzeXAU1CCKGOdyZMf39/tm7dyqlTp9DW1sbe3p5GjRoxYcIEmjdvnquSZVapWVMnu0MQQgjxGWSaMNu0acPff/9NuXLlGDlyJE2bNsXIyIi4uLjPGZ8QQgiRI2TaHhcaGoqVlRWOjo7UrVtXmX5OCCGE+BplmjB9fHyoUKECS5YsoW3btri6urJnzx6pYQohhPgqZdoka2Njg42NDaNGjeLAgQPs2rWLadOmoa+vj4aGBvfv36dy5cpoaGh8znhznHPnErI7BLWYm2tiYaGV3WEIIUSu9d5Rsvr6+rRq1YpWrVoRHBzMjh072LdvHzNnzsTHx4dGjRrRpEmTTJ9F+aVzdo7J7hDU4uNjKAlTCCE+wgfdU1CiRAmGDh3Krl27mD17NuXKlWPz5s3069cvq+ITQgghcoQPmrggjZaWFvXr16d+/fqEh4ezd+/eTx2XEEIIkaP8p4T5JlNT0086zVzr1q0JDQ1VftfQ0CBfvnzY2toyZswYzMzMsLOzw8PDAzs7u092XCGEEOJdPjphZoVhw4bRtGlTIPUhzkFBQfz6669MnTqVZcuWsXfvXoyNjbM5SiGEEF+THJkwDQwMMDU1VX4vXLgw/fv356effiImJkZlnRBCCPE55JqJRHV0Uqeg09TUxM7OjrNnz7J161YcHR1JSUlRtjt48CDNmjUjKSmJ169fM3/+fJo0aaJM6ffs2TMgdSJ2Ozs7li9fjoODA9OnTycmJoaJEyfSqFEjGjZsyNixYwkPD8+W8xVCCJGzqJ0w9+/fj7+/PwD37t2ja9euNGzYkBkzZpCQkLX3Ij58+BBvb29q165N3rx5leUODg48e/aMGzduKMsOHTqEg4MDWlpaLF26lGvXrjF//ny8vLxISUlh5MiRKgn20qVLrF69mp49e+Ll5UVoaCienp4sX76c58+f4+7unqXnJoQQIndQq0l206ZNLFiwgL59+1KnTh1mz55NREQEP/zwA3v37iV//vwMGDDgkwU1d+5cFixYAEBSUhI6OjrUq1cv3YOhTUxMsLOz4/Dhw1SqVIm4uDhOnjzJ4sWLiY+PZ/PmzaxYsYKyZcsCMHXqVBo3bszly5cxMzMDoFOnThQrVgxInQ4wT548FClShLx58zJ16lRevHjxyc5LCCFE7qVWwty2bRsdOnTAxcWF8PBwrly5wujRo+nQoQPFixdnw4YNnzRhOjk54eDgQFxcHD4+Pvz9998MGDAAExOTdNs2btyYFStWMHToUE6cOIGxsTE2Njbcv3+fhIQEXFxcVLZ//fo1Dx8+VBJmkSJFlHU9e/ZkxIgRNG3alOrVq9OgQQN++OGHT3ZeQgghci+1EuaTJ0+oX78+AKdPnwbA3t4egFKlSin9gp+KiYkJFhYWAMyYMYNevXoxZswYVq5ciba2asgNGjRg1qxZBAQEcOjQIRo3boyGhgZJSUkAeHp6Ymio+szK/PnzEx0dDYCurq6y3MbGhh07dnDixAn8/f1ZuHAh+/fvZ9myZZ/0/IQQQuQ+avVh5suXT0kwp0+fpnjx4koN7dGjRxnW/D4VHR0dJk+eTGBgIOvWrUu33tDQkNq1a3P48GFOnz5N48aNAShatChaWlpERkZiYWGBhYUF+fPnx93dXeU+zzdt2LCBGzdu0KxZM6ZPn86CBQu4cOHCJ/9CIIQQIvdRK2Ha2dnh6+vL6tWrOXz4MI0aNQLgzz//xMfHh9q1a2dpkBUqVKBVq1asXLmSp0+fplvfpEkTNm7cSMGCBSlfvjyQemtK69atmTt3LufOnePBgwdMnTqVu3fvKrXXt4WFhTF37lyuXr1KSEgI+/btw9zcPEu/EAghhMgd1EqYI0aMwNTUFF9fX7777jtlZp+FCxdStGhRBg4cmKVBAgwcOBBtbW0WLVqUbl3dunUBlNplmuHDh1OrVi0mTZpE7969efXqFYsWLUJfXz/DY7i6uiozCnXu3JkHDx4wf/58tLRk0nIhhPjaaURGRqa8f7OM/f3335ibm3/KeHIdW9vn2R2CWnx8DKlZUydL9h0YGEiZMmWyZN+5jZTFv6Qs/iVl8a/cXBYfNNPP06dPOX/+PP/88w8tWrQgMjISU1PTdANxhBBCiC+N2pnOw8OD9evXk5SUhIaGBt9++y2LFy/m+fPnLFmyhPz582dlnEIIIUS2UqsPc926daxbtw4XFxc2btyozJTTt29fnj17hpeXV5YGKYQQQmQ3tWqYW7dupVevXvTu3Vu5vxGgevXquLi4sHLlyiwLMKfz8TF8/0Y5gLl5rpk2WAghciS1EubTp0+pUqVKhussLCyIjIz8lDHlKlk1kEYIIUTOola1w8zMjEuXLmW47vr161/9SFkhhBBfPrVqmG3atGHZsmXo6+srU+TFxMRw4MAB/Pz86N27d1bGKIQQQmQ7tRJm9+7dCQ0NxdvbG29vbwAGDx4MQPPmzZWJDL5G585l7aPNPoS5uSYWFjLJghBCZAW1EqaGhgZjx46lS5cunD9/nsjISPLly0fVqlWxsrLK6hhzNGfnmOwOQeHjYygJUwghsohaCdPX15eWLVsqk5i/KSQkhHXr1jF27NgsCVAIIYTICTJNmCEhIcr/fX19sbS0JDExMd12R44cYdeuXZIwhRBCfNEyTZjz58/H398fgJSUFCZNmpThdikpKVn+tBJ1tW7dOtNHd82ePZsGDRqoLDt79iyDBw/m7NmznyE6IYQQuVmmCXPcuHFKIpk+fTq9evVK1xyrpaWFoaEhNWvWzNooP8CwYcNo2rRpuuVGRkbZEI0QQogvRaYJs3Dhwjg6OgIQGhpKq1atlIdG52QGBgaYmppmdxhCCCG+MGoN+nF2dlb+n5KSoswlm5ycTHx8PJcuXcLe3j5rIvyEYmJi+PXXXzlx4gSmpqa0atVKZX1YWBju7u6cO3cODQ0NmjRpwtChQ9HT08umiIUQQuQUaiXMJ0+eMHPmTC5cuEBycnKG25w+ffqTBpYVfv31Vx48eICnpyfPnz/Hzc1NWZeQkMDAgQOxsLBg2bJlREVF8csvv5CSkiIDmoQQQqiXMN3d3bl+/Trt2rXj6tWr6OvrU7lyZU6fPs39+/eZPXt2Vseptrlz57JgwQKVZfny5WPjxo0cOnQIDw8PypUrB6Q+bWXu3LkAnDp1iqdPn7JixQqMjY0BGDt2LCNHjmTgwIEYGuaOSdaFEEJkDbUS5sWLF3FxcaFLly5s2bKFY8eOMWTIEAYMGMDgwYM5evRojmmSdXJywsHBQWWZpqYmDx8+JCkpSeVJ3+XLl1f+HxQUhIWFhZIsASpXrkxSUhIPHz6kQoUKWR+8EEKIHEutydfj4uKURGNpacmdO3cA0NbWpn379pw/fz7rIvxAJiYmygQLaT9FixZV1qf1v0Jq/Gky6qdMa37OrBlaCCHE10OthGlqakp4eDiQ+jiv6Oho5XdjY2MiIiKyLsJPpHjx4mhra3Pz5k1lWVriByhZsiSPHj0iKipKWXbt2jW0tLQoVqzYZ41VCCFEzqNWwqxTpw5eXl5cvHiRwoULY25uzrp164iOjmbnzp0ULlw4q+NUW2xsLOHh4el+NDQ0aN68OfPnz+fatWucP3+eFStWKK+zs7OjePHiTJ06lcDAQC5cuMC8efNo3LgxJiYm2XdCQgghcgS1+jBdXFy4desW3t7eeHp6MmDAAKZOncqGDRsAGDNmTJYG+SEWLlzIwoUL0y3v1q0bY8aMYe7cuQwdOhQjIyM6duzIokWLgNR+zjlz5jBnzhz69u1L3rx5adq0KYMGDfrcpyCEECIH0oiMjEx5/2apwsPDlUkBLl++zLVr16hYsSLVqlXLsgBzOlvb59kdgsLHx5CaNXU++3EDAwNVBlN9zaQs/iVl8S8pi3/l5rJQq0nW19eXsLAwlRl0bG1t6dGjB2ZmZjnqthIhhBAiK8jTSoQQQgg1fFFPKxFCCCGyyhf3tJLPzccn58wAZG6uVgu7EEKI/+CLe1rJ55Ydg2yEEEJ8fh/8tBKA+/fvExQUhJWVFSVLlsyKuIQQQogc5Z0J09/fnyVLltCmTRs6duwIwKJFi1i/fj0pKSloaGjQvn37HHUfphBCCJEVMu30unbtGqNHjyYlJUXpu7xw4QLr1q3DxsaG1atX89NPP7Fr1y727Nnz2QIWQgghskOmNcx169ZRpUoVPDw8lEnKf//9dzQ0NJg8eTLFixenXLly3L17l+3bt9OiRYvPFnROcu5cQrYc19xcEwsLrWw5thBCfI0yTZhXrlxh+PDhKk/0OHfuHJaWlhQvXlxZVqNGDX7//fesjTIHc3aOyZbj+vgYSsIUQojPKNMm2ejoaAoWLKj8HhwcTGRkZLpp8LS1tTOc0EAIIYT4kmSaME1MTHj27Jny+7lz59DQ0KBGjRoq2wUFBVGgQIGsi1AIIYTIATJtkq1WrRrbt2+nUaNGpKSksHPnTvT19alVq5ayTVxcHJs3b8bW1vZzxEpERAQ+Pj789ddfREVFYWZmRtOmTenRowf6+vqfJQYhhBBfp0wTZt++fenbty9t2rRBQ0ODsLAwXFxcyJMnDwBbt25ly5Yt/P333/z6669ZHujTp09xdnamSJEiuLm58c0333D37l2WLVuGv78/np6ekjSFEEJkmUwTpqWlJcuXL2fdunU8f/5cSZ5pfHx80NPTY/bs2ZQuXTrLA50zZw6FCxdm8eLFykCkIkWKULVqVTp37szy5cvl2ZVCCCGyzDsnLihVqhQ//vhjhuvWrFmDqakpmppZP39pREQEf/31F3PnzlUZtQuQL18+OnfuzNq1a3F1dSUgIIA5c+YQGBiItbU1dnZ2XLp0CU9PT3bv3q38m8bV1ZUqVaowYMAA3NzcMDQ05Pnz5xw/fpxChQrRp08fZYpAIYQQX6//nO0KFy78WZIlwO3bt0lOTqZixYoZrre1teX58+fcu3ePYcOGYW1tjZ+fH02bNmXVqlUfdKytW7cqr69VqxazZs0iKirqE5yFEEKI3CxXPN4iOjoaSK1NZsTIyAiAY8eOoaenx+jRoylZsiQdO3bEwcHhg45VunRpevbsSYkSJRgwYACvXr3i3r17H3cCQgghcr1ckTDTEuKbt7m86Z9//gHgxo0blC1bVqXZtnLlyh90rKJFiyr/NzRMfXSX3GcqhBAiVyTMChUqoKWlxa1btzJcf/PmTUxMTChatCgpKSkq697+/W1JSUkqv+voyOO6hBBCpJcrEqaJiQkODg74+vqmq+3FxMSwfv16WrZsSZkyZQgMDFRJgm8mWR0dHWJjY5UkmpKSwpMnTz7PSQghhMjVckXCBBg+fDhxcXEMGTKEixcv8vfff3Py5En69++PmZkZzs7ONGnShLi4OObPn09wcDDbt2/n4MGDaGhoAKk11djYWNasWUNISAiLFi1S+keFEEKId8k1CdPU1JTly5djbW2Nm5sb//vf/5g/fz4NGjTAy8sLfX198ubNy7x587hy5Qpdu3Zlz549NG/eXOnTtLCwYNiwYWzYsIHu3buTkJBA48aNs/nMhBBC5AbvvA8zpzExMWHEiBGMGDEiw/UhISEkJyezdu1aZdns2bMxNTVVfu/WrRvdunXL8PVTpkxJt+zs2bMfGbUQQogvQa6pYaojNjaWQYMGcejQIUJDQzly5Ah//PHHB99aIoQQQrwtV9Uw38fa2poxY8awdOlSwsLCMDMzY9iwYdStWze7QxNCCJHLfVEJE6BNmzYqc95mNR8fw892rDeZm39RjQNCCJHjfXEJ83OrWVPu2xRCiK+BVFOEEEIINUjCFEIIIdQgCVMIIYRQg/RhfqRz5xKy/Bjm5ppYWGhl+XGEEEJkThLmR3J2jsnyY/j4GErCFEKIbCZNskIIIYQaJGEKIYQQashVCdPOzi7d3K6XLl3C3t6euXPnZlNUQgghvga5KmG+LTAwkFGjRtG4cWNGjRqV3eEIIYT4guXahBkSEsKwYcOws7Nj0qRJyjMvhRBCiKyQKxNmREQEQ4cOpXTp0kyfPh0trX9HkIaHhzN+/HgcHByoU6cO3bt35+LFiwA8efIEOzs7Dh8+TLt27WjYsCGjRo0iMjJSef3Vq1dxdnamXr16tG7dms2bN3/u0xNCCJED5bqEGRsby7BhwwgLC2P69Ono6KjO5TplyhQSExPx9fXFz88PMzMzZs2apbLNqlWrmDZtGvPmzePGjRv4+fkBEBQUxKBBg6hatSp+fn44OzuzePFi/vzzz892fkIIIXKmXJcwZ8+eDYCOjg6rV69Ot97e3p4xY8ZgaWlJqVKl6NChA0FBQaSkpCjbODs7U6lSJapVq0bTpk25efMmANu3b6d06dIMHDiQEiVK4OjoSMeOHZWEKoQQ4uuV6yYuMDIyUmp9c+fOpWHDhlSuXFlZ3759ew4cOMDVq1cJDg7m9u3bACQlJSnbFC1aVPm/gYEBiYmJADx48ICKFSuqHM/GxoYtW7Zk5SkJIYTIBXJdDXP48OGYmJjQvn17KleuzLRp03j16hUAycnJDB48mLVr12JmZkb37t2ZMmVKun283YybRldXN92ypKQklWQrhBDi65TrEmbaAB8NDQ0mTpxIaGgoXl5eQGof5KVLl1i8eDF9+/albt26PHv2TO19W1pacuPGDZVl165do3jx4p/uBIQQQuRKuS5hvsnS0pLevXuzfv16rl69iqGhIZqamhw8eJDQ0FAOHTqEt7c3AK9fv37v/tq3b8/du3dZunQpwcHB7Nmzhy1btvC///0vq09FCCFEDperEyZA7969KVmyJNOnT8fY2Jhx48axbt06OnXqxKpVqxg1ahTa2trcuXPnvfsyMzNjwYIFnD59mq5du7JixQqGDRtGmzZtsv5EhBBC5GgakZGRKe/fTGTG1vZ5lh/Dx8eQmjUz7nfNCQIDAylTpkx2h5EjSFn8S8riX1IW/8rNZZHra5hCCCHE5yAJUwghhFCDJEwhhBBCDblu4oKcxsfHMMuPYW4u32uEECK7ScL8SDl5MI4QQohPR6ouQgghhBokYQohhBBqkCbZj3TuXEKW7NfcXBMLC633byiEEOKzkIT5kZydY7Jkvz4+hpIwhRAiB5EmWSGEEEINkjCFEEIINeSqJtnWrVsTGhoKpD7eS19fnzJlytCvXz9q16793tdfuHCBAQMGcPLkSbS1tQkICCA2NpaqVatmdehCCCFyuVxXwxw2bBh79+5l9+7drFixAhsbG0aOHMnZs2c/eF9jxowhODg4C6IUQgjxpcl1CdPAwABTU1MKFSqElZUVQ4cOpUmTJixYsCC7QxNCCPEFy3UJMyNt2rTh3r17PHr0iJiYGKZOnUrDhg1p1qwZM2bMIDY2Nt1rXF1dCQ0NZcaMGbi5uQHw119/0aNHD+rWrUvDhg2ZOHEiMTFZMwpWCCFE7vJFJExLS0sAgoKCmD59OlFRUXh7e7NgwQKCg4OZNm1autfMmjWLwoULM2zYMEaNGkVISAjjx4+nXbt2/Pbbb8ycOZPz58+zbdu2z306QgghcqBcNegnM4aGqROg3717l6NHj3LgwAGMjY0BmDp1Kq1btyYsLEzlNcbGxmhpaWFgYIChoSERERGMHDmStm3bAlCkSBHs7Oy4f//+5z0ZIYQQOdIXkTDTmlzLlClDSkoKrVq1SrdNcHAwWlqZTwRQvHhxdHV1WbFiBffv31d+mjRpkmVxCyGEyD2+iIR59+5dAB49ekSePHlYu3Ztum1MTU25efNmpvsICAjA2dkZe3t7bG1t6dq1Kxs2bMiymIUQQuQuX0Qf5s6dOylXrhy1a9cmLi6O5ORkLCwssLCwAMDd3T3DgT9v+uOPP7CxseHnn3+mQ4cOVKhQgUePHpGSkvI5TkEIIUQOl+tqmLGxsYSHhwMQGRnJzp07OXjwIB4eHlhaWlK7dm2mTJnC6NGj0dXVZdasWSQnJ2Nqaprunsu8efMSHBxMVFQUxsbG3L9/n+vXr2NkZMS2bdu4efMm5ubm2XGaQgghcphclzAXLlzIwoULAShQoABly5Zl6dKl2NraAuDm5sa8efMYMmQIGhoa2NnZMXr06Az39b///Y9Fixbx5MkTpk6dyp07dxgyZAg6OjpUrVoVJycn9u3b97lOTQghRA6mERkZKW2OH8HW9nmW7NfHx5CaNXWyZN+fWmBgIGXKlMnuMHIEKYt/SVn8S8riX7m5LL6IPkwhhBAiq0nCFEIIIdQgCVMIIYRQQ64b9JPT+PgYZsl+zc3lu4wQQuQkMuhHCCGEUINUY4QQQgg1SMIUQggh1CAJUwghhFCDJEwhhBBCDZIwP8Dr16+ZMWMGDg4ONGvWjDVr1mR3SJ/Uvn37sLOzU/lJm1YwNDSUIUOGUK9ePTp27MjJkydVXnv+/Hm6du2Kvb09rq6uPHr0SGX9pk2bcHR0pEGDBkybNo24uLjPdl4f4vXr13Tu3JmzZ88qy7Ly3HPyNZVRWcyYMSPdNfLmU32+tLJ4/PgxI0eOxMHBAUdHR9zd3Xn16hXw9V0X7yqLr+W6kIT5ARYtWsTVq1fx8PBgwoQJrFy5kgMHDmR3WJ9MUFAQDRo0YO/evcrPlClTSElJYfTo0RgbG7Nq1SpatGjBuHHjCAkJASAsLIzRo0fTrFkzVq9eTcGCBRk9ejTJyckAHDlyBE9PT8aOHcvSpUu5efMm7u7u2XimGXv16hWTJ09WeWh4Vp97Tr2mMioLSL1Ghg4dqnKNpD10/Usri4SEBEaNGoWuri6+vr5MmzaNY8eOsWzZsq/uunhXWcDXc11IwlRTXFwcO3bsYOTIkZQvX5769evTvXt3Nm/enN2hfTJBQUGULl0aU1NT5SdfvnycP3+ehw8fMmHCBEqVKkWvXr2wsbFh586dAGzfvp0yZcrQs2dPSpUqxY8//sjTp085f/48ABs2bKBjx47Uq1ePChUqMH78ePbs2cPLly+z83RV3L9/n759+/L48WOV5Vl57jn1msqsLCD1GilfvrzKNaKvrw98eWVx48YNHj16xE8//YSlpSXVqlWjf//+7Nu376u7Lt5VFvD1XBeSMNUUGBjI69evqVKlirLM1taWmzdvkpiYmI2RfTpBQUGUKFEi3fLr169jbW2NgYGBsqxKlSpcu3ZNWV+1alVlnb6+PmXLluXatWskJSVx69YtlfWVKlUiKSmJO3fuZOHZfJjLly/z7bffsmLFCpXlWXnuOfWayqwswsPDiY6OzvAagS+vLEqUKIG7uzt58+ZVlmloaJCQkPDVXRfvKouv6bqQmX7UFB4ejpGREXp6esqyAgUKkJCQQGRkJKamptkY3cdLSEjg8ePHnDhxAm9vb5KTk3FwcMDFxYXw8HAKFSqksn2BAgV4+vQpkFo2b59/2voXL17w6tUrlddra2tjbGysvD4naNeuXYbLs/LcdXR0cuQ1lVlZBAUFoaWlhaenJ6dOncLY2JiuXbvi6OgIfHllkT9/fuzs7JTfk5OT2bx5M7a2tl/ddfGusviargtJmGqKj49HV1dXZVna769fv86OkD6phw8fkpSURJ48eZg5cyYhISHMmzePly9f8urVK3R0VB81pqurS0JCApBx2ejo6PD69WtlUMDbr9fR0VFen5PFx8dn2bknJSXlqmvqwYMHAJQpU4ZOnTpx8eJFZs6cib6+Po0aNfriy8Ld3Z07d+6watUq1q9f/1VfF2+WxcWLF4Gv47qQhKkmXV3ddG9Q2u9pbfW5mZWVFQcOHMDExAQAa2trUlJSmDx5Mm3atCE2NlZl+9evXyvnnVHZJCQkYGxsrFzcbyfHhIQElW+NOZWenl6WnbuGhkauuqY6dOhAkyZNMDY2BlI/IB8+fMjWrVtp1KjRF1sWKSkpzJ8/ny1btvDrr79iZWX11V4XGZVFqVKlvprrQvow1VS4cGFevHih8sY+e/YMXV1djIyMsjGyTyctWaYpWbIkiYmJmJqa8uzZM5V1ERERFCxYEEgtm7fXP3v2DFNTU4yNjdHT01NZn5iYSFRUVK5oxi5UqFCWnXtuu6Y0NDSUD8U0lpaW/PPPP8CXWRbJyclMnz6drVu3MmPGDOrXrw98nddFZmXxNV0XkjDVZG1tjY6ODlevXlWWXblyhXLlyqGtnfsr6keOHKFZs2YqF2ZAQAD58uWjUqVKBAQEqNwbdfnyZSpVqgSkdtJfuXJFWRcfH09AQACVKlVCU1OT8uXLc/nyZWX9tWvX0NLSomzZsll/Yh8pK889t11T7u7ujBgxQmXZnTt3KFmyJPBlloW7uzv79+9n1qxZNGzYUFn+NV4XmZXF13RdSMJUk76+Pj/88AOzZ8/mxo0bHD9+nLVr19KpU6fsDu2TqFq1KikpKcyYMYPg4GBOnDjBokWL6N69O9WrV8fc3Bw3Nzfu3bvH6tWruX79Om3atAGgZcuW3LhxgxUrVnD//n1+/vlnzMzMqFmzJpDalLd+/XqOHDnCzZs3mT17Ni1btlQZcZdTVatWLcvOPbddU/Xq1ePUqVNs2rSJx48fs3nzZvbu3Uv37t2BL68srl27xsaNG3FxcaF8+fKEh4crP1/bdfGusviargt5vNcHiI+P59dff+XIkSMYGBjQrVs3unXrlt1hfTJ37tzB3d2dmzdvYmhoSNu2benXrx8aGho8evSIn3/+mRs3blC0aFFGjBhBrVq1lNeePHmSBQsW8Pfff1OpUiUmTZpEsWLFlPWrV69mw4YNvH79mgYNGjB27Nhs74/JjJ2dHR4eHsqowKw895x+Tb1dFgcPHmT58uU8fvyYokWL4urqqlLb+JLKYuHChaxbty7DdSdPniQ0NPSruS7eVxZHjhz5Kq4LSZhCCCGEGqRJVgghhFCDJEwhhBBCDZIwhRBCCDVIwhRCCCHUIAlTCCGEUIMkTCGEEEINkjDFR3F1daV27drKY43e5uzsjKur62eJ5cmTJ9jZ2bF9+/bPcrwP8fTpUwYOHIi9vT2NGjXi4cOH6bbZvXs3dnZ26Z5G/1+0bt2an3766T+//vbt27i5udG6dWvs7e1p3bo1bm5uBAcHf3Rsmbl48SKdOnWiTp06dOrU6ZOWx6embvm+fv2ajRs30qdPHxwcHPj+++/p3bs327dv/2IeC/g1yXnzb4lcJykpCTc3N9auXZtjJyPIbuvXr+fixYtMnjyZwoULU6RIkewOKVPbtm1jzpw5VKlSBWdnZwoXLkxISAgbN26kV69eLFy4UOX5hJ+Ku7s78fHxzJ49G2NjY4oUKYK3tzeFCxf+5Mf6HJ4/f86wYcMICQmhffv29O3bF4BTp04xa9Yszpw5w88//4yWllY2RyrUJQlTfDRDQ0MePnzI0qVLGTlyZHaHkyNFR0dTsGBB5RmBOdW1a9eYM2cO7dq1Y8yYMSrrGjVqRO/evZkyZQpbt2795B/0UVFR2NjYUKdOHWVZgQIFPukxPqdp06YRGhrK8uXLlXlVAezt7bG0tGTOnDnUrl2bVq1aZV+Q4oNIwhQfzcrKipIlS7Jp0yYaNGhAtWrVMt3W1dWVpKQkfHx8lGWPHj2iffv2/PTTTzg6OnLhwgUGDBiAh4cHq1at4tq1a5iYmNC3b1/q16/P/PnzOXHiBHny5KFFixYMGjQIDQ0NZX/Pnj1j9OjRnDlzBmNjYxwdHXFyclKZrPmvv/5i+fLl3Lt3j7x589KwYUMGDx6MoaEhkNo8+ssvvzBp0iSWLl3K69evWbhwIRUrVkx3TjExMfj6+nLs2DH++ecfihYtSpcuXZR5RVu3bk1oaCiQOtVcixYtmDJlyn8u78DAQHx8fLh8+TIvXrygQIECNGjQgCFDhqjU8JOSkliwYAF79uwhOTkZe3t7hg4dqjxRIyN+fn4YGhoyZMiQdOvy5cvH8OHDuX79Oi9evFCebnPw4EHWrl3LgwcPyJMnD/Xq1WPgwIHKem9vb/bt28fYsWNZsmQJQUFBFCxYkE6dOtG1a1eePHmilFVoaCj79+9XmjunTZvG1q1bsbCwwM3NjbCwMKysrNi9ezfGxsZs2rQJe3t7xo4dy61btzh8+DCampo0a9aMoUOHsmLFCnbs2MHr16+xs7Nj/PjxKk/l2bVrF+vXr+fhw4fkz5+f5s2b4+LiovJ8xitXruDh4cGdO3coWLBghmXztrt37+Lv78/gwYNVkmWadu3a8eDBA5VY1HlfAwICWLx4MTdv3iQhIYGyZcvi5OTEt99+q+zn/v37eHh4cOnSJZKTk6lWrRrDhw+nRIkSyjZ//vknq1ev5sGDB+jp6VG9enUGDx6MhYXFe8/tayYJU3wSw4cP5+zZs0yfPp3169eTJ0+ej97n5MmT6datGz169MDPz49Zs2axceNG6tSpwy+//MLhw4dZs2YN1tbWNGnSRHmdr68vjRs3ZubMmVy9epVVq1aRkJCgfNAdPHiQyZMn07BhQ/r160dYWBienp4EBgbi5eWlJNakpCS8vLwYM2YMUVFRGT5dJT4+HmdnZ8LDw3FycqJYsWIcPXqUGTNmKMtmzpyJt7c3t27dYtasWR9VawoPD8fFxYVy5coxceJE9PT0OHnyJJs2baJAgQL069dP2fbw4cOULVuWSZMm8fz5c5YuXcqjR49YsWJFhvtOSUnh1KlT2NvbZ9q0bm9vj729vfL78uXL8fLyok2bNjg7OxMSEoKPjw/Xrl1j5cqVyn6ePXvGzz//TK9evbCwsOD333/H3d0dKysrqlatire3NxMmTKB06dL069eP4sWLc/LkyXTHv3z5MgkJCcyYMYOYmBjlmapLlizh+++/Z+bMmZw4cYLffvuN8+fPU7RoUSZNmsSDBw9YsmQJxsbGTJgwAUj9crB48WLatm3L4MGDuXfvHj4+Pjx+/JiZM2cCqUls0KBBVKxYkWnTphEZGcns2bOJiop65/vk7++vlFdGtLS0VGrw6ryvMTExDB48GBsbG9zc3IDUpv4RI0awefNmihYtyqNHj3BycsLc3Fw5zzVr1uDk5MTatWsxMzPj8uXLTJ48mR49ejBkyBAiIiJYtmwZw4cPZ8uWLSpfPoUqSZjikzAwMGDy5MkMHjyYxYsXM3bs2I/eZ/PmzenVq5eyfycnJ6ysrBg6dCgAtWvX5tChQ1y5ckUlYdaoUYNp06YBULduXeLj4/ntt9/o0aMHxsbGLFq0iGrVqvHrr78qrylTpgzOzs4cOnSIpk2bKst79eqlMon023bv3s29e/fw9PRUatZ16tQhKSmJVatW0b59eypUqED+/PnR0dHB1tb2o8okMDCQUqVKMXv2bPLly6eUw/nz57l48aJKwjQ0NMTDw0OpNRcoUICxY8fi7++v0uyZJjIyklevXqndvxodHc3KlStp2bIlEydOVJaXKVMGV1dXduzYoTxVIi4ujhkzZijHtbW15cSJExw/fpxvv/0WW1tbdHV1yZ8//zvLKDExkYkTJ2JpaamyvFixYvz4449A6vu/a9cuXr58yaxZs9DR0cHe3p6LFy8qj4mKiYnBx8eHli1bKomlTp06FC5cmJ9++omrV69iY2PD6tWrMTQ0ZOHChUryL1myJC4uLu8sm7CwMAC1y1Kd9/XBgwdERkbSs2dPbGxsAKhYsSKrVq0iPj4eAB8fH7S0tFi2bJnyjMrvvvuOdu3asWLFCiZMmMCVK1fQ19fH2dlZeYCzubk5J0+e5OXLlxgYGKgV89dIRsmKT6ZmzZq0b9+erVu3cvbs2Y/e35sfnGkPm077oADQ1NTEyMiIFy9eqLzuzeQJ0LBhQ169esXVq1d5+PAhYWFhNGjQgMTEROWnYsWKmJqacubMGZXXli5d+p0xXrx4kcKFC6drhm7RogWvX7/OdPTwf1W7dm2WL19O3rx5lcewrVy5kufPn6d7Mn2dOnWUZAmpj+fS0tLK9L1J65NMTk5WK5br16/z+vVrlS8YkPpItG+++YYLFy6oLH9zoJC+vj7GxsbKB726dHR0VJoWM9q3trY2JiYmlCtXTqVp1djYWLlWrl27Rnx8PPXr11e5Duzt7dHU1FSugwsXLlC7dm2VGretrS1mZmbvjPNDy1Kd99XKyoqCBQsycuRIZs+ezfHjx9HV1WXEiBFYWVkBcO7cOapXr46BgYFyTvr6+tjZ2XH69Gkg9QvFq1ev6Nq1K56enspzPAcOHCjJ8j2khik+qSFDhnDq1Cl+/vln1q9f/1H7yuh5mW83FWbUfPR2H11aE2h0dDSRkZEAzJs3j3nz5qV7bdpT4jPb19uio6MzbGJNe93byfxjJScn4+XlxW+//UZsbCxmZmZUrFhRaZrMKIY0mpqamJiYZBqTkZERBgYGPHnyJNPjv3r1ihcvXmBqakp0dHSGx0lb9vZx3n7vNDU11U4oafLnz4+mZvrv+RldK293C7x5raQ1qY4ePTrD46RdB1FRUeTPnz/d+kKFCr0zTnNzcyD1Vqe0ZPa2sLAwChYsiLa2tlrva548efD19WXVqlUcPnyYLVu2oKurS8OGDRk3bhyGhoZERkZy+PBhvvvuu3THS+tqqFixIh4eHqxfv57169ezYsUKjI2N6dixI05OTtIk+w6SMMUnlSdPHn788UcGDBiAu7t7uvUaGhokJSWpLIuNjc1wX//1DzftgzzNs2fPgNTEmVbjGjRokPIA2zd96DdsIyMjHjx4kG552gfum4M6PoXVq1ezZs0aJk2aRIMGDZTz6d27d7pt3y6HxMREIiMjM0wAab799lsuXLhAfHx8hv2Yf/75J25ubri7u2NkZASklu/bSeGff/6hUqVKH3p6/9mHXitp5TZ16tQMB+WkvW/58+dXrp83RUZGqjzP8W21atVi4cKF+Pv7Z5owXV1dMTExYeXKlWq/r2l9sikpKQQGBioDroyMjBgzZgz58uWjevXq9OjR453nX716dapXr05CQgKXL19m69at+Pj4UKpUKRwcHN752q+ZNMmKT65atWp06tSJnTt3cvfuXZV1BgYGPH36lJSUfx/D+nbT3cc6fvy4yu/79+9HT0+PSpUqUbJkSQoUKEBISAgVKlRQfooUKcLixYs/uAm1WrVqPH36lIsXL6os37dvH1paWp88aVy5coWSJUvi6OiofKiGhYVx7969dLW106dPqzTTHj58mKSkJGrUqJHp/rt160Z0dDRLlixJty4qKorly5dTuHBh7OzsqFixIrq6uuzfv19lu4sXLxIWFvbR/bVZqVKlSujq6hIWFqZyHRgYGLBw4UKCgoKA1FHN/v7+xMTEKK8NDAwkJCTknfu3srLiu+++Y82aNRlOvLBx40ZCQkJo2bIloN77eujQIZo0aUJ4eDgaGhpYW1szaNAgSpQoobQKVKtWjfv372Ntba1yXps2bVLep4ULF9KrVy9SUlLQ0dGhZs2ajB8/HkAZzS0yJjVMkSUGDhzIyZMn081oY29vz/Hjx5k1axbff/89t2/fZvPmzZ+0GejEiRPMnz+f7777jtOnT7N9+3acnJyUGtGgQYP4+eefgdR+vbi4ONasWcPjx48/eLCSo6MjmzdvZty4cTg7O1O0aFGOHz/Orl276NOnjzLw4kPs3r07w5pp+/btqVixIqdOnWL58uVUrlyZx48fs3r1al6/fk1cXJzK9lFRUYwePZrOnTvz6NEjPD09qVGjBrVq1cr02JUrV8bV1ZVly5bx4MEDfvjhBwoUKEBQUBAbNmwgKiqKpUuXoq2tjbGxMT179sTX1xdtbW3q1avHkydP8Pb2pkSJEkoyyIlMTEzo2bMnPj4+vHjxgpo1axIREYGvry+vXr2ifPnyADg5OXH06FEGDRpEr169iIuLw9vbWxks8y7jx49n0KBB9OnTh44dO1K5cmXi4uI4duwY+/bto0mTJrRt2xZArfe1SpUqJCcnM3LkSHr06IGRkRGnTp3i/v379OzZE0idWatv374MGTKEDh06kCdPHnbu3Mnhw4eVkbV2dnasX7+eyZMn88MPP5CcnMzWrVvR09PLdFSvSCUJU2QJfX19fvrpp3SjCR0dHXny5Am7du1iz549VKpUiQULFry3CelDjBw5kkOHDrFt2zYKFizIsGHD6Nq1q7K+ZcuWGBgYsGbNGvbu3Yu+vj6VK1dm0qRJ6UZfvo++vj5eXl4sWbKEFStWEBMTQ/HixZk4caJyb+GHWrlyZYbLHR0d6dWrF5GRkWzZsoVVq1Zhbm5OixYt0NLSYvny5URGRirJtm3btrx69YpJkyahpaVF06ZNGTp06Hu/nPTp04dy5cqxefNmlixZQmRkJIULF6ZGjRr07duXokWLKtu6uLhQsGBBfvvtN+XeSAcHBwYMGJBhv2JO4uLigqmpKZs3b2bTpk1Kc+aAAQOUfumiRYvi7e3NwoULcXNzI1++fPTo0SNdrToj5ubmLF++nE2bNnH48GE2bNiAlpYWxYsX56effqJZs2bKe6HO+2pqaoqHhweenp7MmTOHly9fUrx4cX788Ud++OEHILVm6+Pjw7Jly/j5559JTk7G0tKSGTNm0KhRIyB1gNEvv/yCn58fkydPJiUlhfLly7NkyZIMB1SJf2lERkamvH8zIYQQ4usmfZhCCCGEGiRhCiGEEGqQhCmEEEKoQRKmEEIIoQZJmEIIIYQaJGEKIYQQapCEKYQQQqhBEqYQQgihBkmYQgghhBr+D2h9CzR0ZYJZAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting top 10 states with corresponding confirmed cases\n", - "Top_10_covidngcases = sns.barplot(x='Number of Lab Confirmed Cases', y='States Affected', data=covidnig_lab10confirmed, color = 'blue').set_title('Top 10 covid cases in Nigerian States')\n" - ] - }, - { - "cell_type": "markdown", - "id": "1bb27389", - "metadata": {}, - "source": [ - "Lagos with the highest covid case and Delta is with the lowest." - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "id": "b92dd2a0", - "metadata": {}, - "outputs": [], - "source": [ - "#Generating a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values\n", - "covidnig_10Discharged = covidnig.sort_values('Number of Cases Discharged', ascending = False)\n", - "covidnig_10Discharged = covidnig_10Discharged.iloc[:10,]" - ] - }, - { - "cell_type": "markdown", - "id": "8f9681e5", - "metadata": {}, - "source": [ - "TODO B - Generate a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values" - ] - }, - { - "cell_type": "code", - "execution_count": 185, - "id": "a35d2c2c", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "covid_disch_plot = sns.barplot(x='Number of Cases Discharged', y='States Affected', data=covidnig_10Discharged, color = 'blue').set_title('Top 10 covid Discharges')\n" - ] - }, - { - "cell_type": "markdown", - "id": "0ad7bc8a", - "metadata": {}, - "source": [ - "Lagos showing the highest number of discharges is because it has a high population figure, hihest number of confirmed cases and better health management system." - ] - }, - { - "cell_type": "markdown", - "id": "4fdb5011", - "metadata": {}, - "source": [ - "TODO D - Plot the top 10 Death cases" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "id": "5d9f17bb", - "metadata": {}, - "outputs": [], - "source": [ - "#Plotting the top 10 Death cases" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "id": "ab31af8a", - "metadata": {}, - "outputs": [], - "source": [ - "#Generating a plot that shows the Top 10 states in terms of death cases. Hint - Sort the values\n", - "covidnig_10Deaths = covidnig.sort_values('Number of Deaths', ascending = False)\n", - "covidnig_10Deaths = covidnig_10Deaths.iloc[:10,]" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "id": "05873dbe", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "covidngdeaths_plot = sns.barplot(x='Number of Deaths', y='States Affected', data=covidnig_10Deaths, color = 'blue').set_title('Highest Death Cases')\n" - ] - }, - { - "cell_type": "markdown", - "id": "204b639c", - "metadata": {}, - "source": [ - "Lagos having the highest death cases also due to its high population and number of confirmed cases." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8dea2020", - "metadata": {}, - "outputs": [], - "source": [ - "#Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "id": "de574c85", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Lat 9.0820\n", - "Long 8.6753\n", - "1/22/20 0.0000\n", - "1/23/20 0.0000\n", - "1/24/20 0.0000\n", - " ... \n", - "8/18/22 262748.0000\n", - "8/19/22 262748.0000\n", - "8/20/22 262912.0000\n", - "8/21/22 262912.0000\n", - "8/22/22 262912.0000\n", - "Name: Nigeria, Length: 946, dtype: float64" - ] - }, - "execution_count": 93, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#extracting data for confirmed cases in Nigeria\n", - "confirmed_nig = JH_confirmed_global.groupby('Country/Region').sum().loc['Nigeria']\n", - "confirmed_nig" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "id": "eb9f4215", - "metadata": {}, - "outputs": [], - "source": [ - "TotalConfirmed=JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "id": "7658da46", - "metadata": {}, - "outputs": [], - "source": [ - "TotalRecoveries=JH_Daily_Recovery_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "id": "9a3442af", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Recovered Cases 39492087\n", - "dtype: int64" - ] - }, - "execution_count": 96, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalRecoveries" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "id": "1a7e95d0", - "metadata": {}, - "outputs": [], - "source": [ - "TotalDeaths = JH_Daily_Deathsdf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "id": "1b6acec0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Country/Region AfghanistanAlbaniaAlgeriaAndorraAngolaAntarcti...\n", - "Death Cases 3210225599\n", - "dtype: object" - ] - }, - "execution_count": 98, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalDeaths" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "id": "30b584e7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Confirmed Cases 135384240\n", - "dtype: int64" - ] - }, - "execution_count": 99, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalConfirmed" - ] - }, - { - "cell_type": "code", - "execution_count": 100, - "id": "4bb78c77", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Totaldeaths=JH_Daily_Deathsdf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 101, - "id": "b03e0e6d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
total
Confirmed Cases134858416
Recovered Cases39492087
Death Cases1768099
\n", - "
" - ], - "text/plain": [ - " total\n", - "Confirmed Cases 134858416\n", - "Recovered Cases 39492087\n", - "Death Cases 1768099" - ] - }, - "execution_count": 101, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Getting a dataframe for total daily cases\n", - "z = np.array([134858416, 39492087, 1768099])\n", - "df2 = pd.DataFrame(z, columns=['total'], index=[\"Confirmed Cases\", \"Recovered Cases\", \"Death Cases\"])\n", - "df2" - ] - }, - { - "cell_type": "markdown", - "id": "322745fe", - "metadata": {}, - "source": [ - "TODO E - Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "id": "c134d84c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Confirmed Cases')" - ] - }, - "execution_count": 102, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for confirmed cases in Nigeria using seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Confirmed_Nigeriadf , x = 'Date', y = 'Confirmed Cases').set_title('Daily Total Confirmed Cases')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b4c5b23", - "metadata": {}, - "outputs": [], - "source": [ - "The apparent increase in daily confirmed cases are cummulative values" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "id": "fb51b47b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Recoveries')" - ] - }, - "execution_count": 103, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for Recovered cases in Nigeria using seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Recovery_Nigeriadf , x = 'Date', y = 'Recovered Cases').set_title('Daily Total Recoveries')" - ] - }, - { - "cell_type": "markdown", - "id": "d65ffa95", - "metadata": {}, - "source": [ - "Increased daily recovery cases were recorded. These records again were cummulative values. No record of recovery in Nigeria was recorded from 2021-09 because only death cases were recorded as cummulative lac confirmed cases increased as time of data retrieval in August 2022." - ] - }, - { - "cell_type": "code", - "execution_count": 106, - "id": "b7211359", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Deaths')" - ] - }, - "execution_count": 106, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for death cases in Nigeria using a seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Deathsdf , x = 'Date', y = 'Death Cases').set_title('Daily Total Deaths')" - ] - }, - { - "cell_type": "markdown", - "id": "906c6d18", - "metadata": {}, - "source": [ - "Record for daily total deaths were cummulatively increasing as at the time of data retrieval in August 2022." - ] - }, - { - "cell_type": "markdown", - "id": "9a0ed991", - "metadata": {}, - "source": [ - "TODO F -\n", - "\n", - ">Determine the daily infection rate, you can use the Pandas diff method to find the derivate of the total cases.\n", - ">Generate a line plot for the above" - ] - }, - { - "cell_type": "code", - "execution_count": 107, - "id": "d57cb913", - "metadata": {}, - "outputs": [], - "source": [ - "#Determine the daily infection rate, using the Pandas diff method to find the derivate of the total cases.\n", - "JH_Daily_Confirmed_Nigeriadf['Infection Rate'] = JH_Daily_Confirmed_Nigeriadf['Confirmed Cases'].diff()" - ] - }, - { - "cell_type": "markdown", - "id": "f8d51dae", - "metadata": {}, - "source": [ - "TODO J -\n", - "\n", - ">Provide more analyses by extending TODO G & H. Meaning, determine relationships between more features.\n", - ">Provide a detailed summary of your findings." - ] - }, - { - "cell_type": "code", - "execution_count": 108, - "id": "2e78df9a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateConfirmed CasesInfection Rate
02020-01-220NaN
12020-01-2300.0
22020-01-2400.0
32020-01-2500.0
42020-01-2600.0
............
9392022-08-1826274884.0
9402022-08-192627480.0
9412022-08-20262912164.0
9422022-08-212629120.0
9432022-08-222629120.0
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944 rows × 3 columns

\n", - "
" - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "0 2020-01-22 0 NaN\n", - "1 2020-01-23 0 0.0\n", - "2 2020-01-24 0 0.0\n", - "3 2020-01-25 0 0.0\n", - "4 2020-01-26 0 0.0\n", - ".. ... ... ...\n", - "939 2022-08-18 262748 84.0\n", - "940 2022-08-19 262748 0.0\n", - "941 2022-08-20 262912 164.0\n", - "942 2022-08-21 262912 0.0\n", - "943 2022-08-22 262912 0.0\n", - "\n", - "[944 rows x 3 columns]" - ] - }, - "execution_count": 108, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Checking if new data has been created\n", - "JH_Daily_Confirmed_Nigeriadf" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "id": "edf41ce5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 109, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Generating a line plot for daily infection rate in Nigeria from global data\n", - "plt.figure(figsize = (20,10))\n", - "sns.lineplot(x = 'Date', y = 'Infection Rate', data = JH_Daily_Confirmed_Nigeriadf)" - ] - }, - { - "cell_type": "markdown", - "id": "cae50a52", - "metadata": {}, - "source": [ - "TODO G -\n", - "\n", - ">Calculate maximum infection rate for a day (Number of new cases)\n", - ">Find the date" - ] - }, - { - "cell_type": "markdown", - "id": "486395e9", - "metadata": {}, - "source": [ - "#Calculating maximum infection rate for a day (Number of new cases)\n", - "#Find the date\n", - "Highest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].max()" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "id": "8baf6f59", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "6158.0" - ] - }, - "execution_count": 111, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Highest_infection_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "id": "d0baa6e0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
DateConfirmed CasesInfection Rate
7002021-12-222314136158.0
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" - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "700 2021-12-22 231413 6158.0" - ] - }, - "execution_count": 112, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == 6158.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "id": "fe6fc629", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-30.0" - ] - }, - "execution_count": 113, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Calculating minimum infection rate for a day (Number of new cases)\n", - "Lowest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].min()\n", - "Lowest_infection_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "id": "39a3618a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateConfirmed CasesInfection Rate
8122022-04-13255633-30.0
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" - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "812 2022-04-13 255633 -30.0" - ] - }, - "execution_count": 114, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date for minimum infection rate\n", - "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == -30.0]" - ] - }, - { - "cell_type": "markdown", - "id": "80ee8fd3", - "metadata": {}, - "source": [ - "TODO H - Determine the relationship between the external dataset and the NCDC COVID-19 dataset. Here you will generate a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. From the graph, explain your observation.\n", - "Steps\n", - "\n", - ">Combine the two dataset together on a common column(states)\n", - ">Create a new dataframe for plotting. This DataFrame will contain top 10 states in terms of confirmed cases i.e sort by confirmed cases. Hint: Check out Pandas nlargest function. This tutorial can help out\n", - ">Plot both variable on the same axis. Check out this tutorial" - ] - }, - { - "cell_type": "markdown", - "id": "d06167ae", - "metadata": {}, - "source": [ - "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset. \n", - "# Will generate and explain a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. " - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "id": "a9211792", - "metadata": {}, - "outputs": [], - "source": [ - "#Combine the two dataset together on a common column(states)\n", - "NCDC_external = covidnig_rn.merge(covid_external, on = 'states', how = 'inner')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 116, - "id": "609028d1", - "metadata": {}, - "outputs": [], - "source": [ - "#Obtain top 10 Lab confirmed cases fro external data using df.nlargest()\n", - "Top10_NCDC_external = NCDC_external.nlargest(10, 'No. of Cases (Lab Confirmed)')" - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "id": "9582ba5f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
16Abia980.025.0945.010South East41900000.20.90.60.10.30.90.20.01.14
17Osun979.020.0937.022South West52520000.00.70.40.40.00.80.10.21.06
18Bauchi897.0108.0775.014North East72700000.80.10.20.80.80.20.80.80.85
19Borno778.037.0705.036North East66510000.90.30.11.01.00.10.70.90.89
20Imo734.061.0661.012South East60180000.41.00.90.00.40.90.40.01.12
21Benue515.044.0460.011North Central63760000.50.70.50.70.40.40.30.50.91
22Bayelsa497.055.0421.021South South26060000.50.80.60.10.90.50.20.71.00
23Ekiti405.024.0375.06South West35930000.30.80.30.50.20.80.10.41.03
24Akwa Ibom395.044.0342.09South East60930000.70.80.70.60.80.80.50.11.01
25Jigawa386.057.0318.011North West64350000.90.40.00.70.60.50.90.80.92
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" - ], - "text/plain": [ - " states No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "16 Abia 980.0 25.0 \n", - "17 Osun 979.0 20.0 \n", - "18 Bauchi 897.0 108.0 \n", - "19 Borno 778.0 37.0 \n", - "20 Imo 734.0 61.0 \n", - "21 Benue 515.0 44.0 \n", - "22 Bayelsa 497.0 55.0 \n", - "23 Ekiti 405.0 24.0 \n", - "24 Akwa Ibom 395.0 44.0 \n", - "25 Jigawa 386.0 57.0 \n", - "\n", - " No. Discharged No. of Deaths region Population \\\n", - "16 945.0 10 South East 4190000 \n", - "17 937.0 22 South West 5252000 \n", - "18 775.0 14 North East 7270000 \n", - "19 705.0 36 North East 6651000 \n", - "20 661.0 12 South East 6018000 \n", - "21 460.0 11 North Central 6376000 \n", - "22 421.0 21 South South 2606000 \n", - "23 375.0 6 South West 3593000 \n", - "24 342.0 9 South East 6093000 \n", - "25 318.0 11 North West 6435000 \n", - "\n", - " Overall CCVI Index Age Epidemiological Fragility Health System \\\n", - "16 0.2 0.9 0.6 0.1 0.3 \n", - "17 0.0 0.7 0.4 0.4 0.0 \n", - "18 0.8 0.1 0.2 0.8 0.8 \n", - "19 0.9 0.3 0.1 1.0 1.0 \n", - "20 0.4 1.0 0.9 0.0 0.4 \n", - "21 0.5 0.7 0.5 0.7 0.4 \n", - "22 0.5 0.8 0.6 0.1 0.9 \n", - "23 0.3 0.8 0.3 0.5 0.2 \n", - "24 0.7 0.8 0.7 0.6 0.8 \n", - "25 0.9 0.4 0.0 0.7 0.6 \n", - "\n", - " Population Density Socio-Economic Transport Availability Acute IHR \n", - "16 0.9 0.2 0.0 1.14 \n", - "17 0.8 0.1 0.2 1.06 \n", - "18 0.2 0.8 0.8 0.85 \n", - "19 0.1 0.7 0.9 0.89 \n", - "20 0.9 0.4 0.0 1.12 \n", - "21 0.4 0.3 0.5 0.91 \n", - "22 0.5 0.2 0.7 1.00 \n", - "23 0.8 0.1 0.4 1.03 \n", - "24 0.8 0.5 0.1 1.01 \n", - "25 0.5 0.9 0.8 0.92 " - ] - }, - "execution_count": 117, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Top10_NCDC_external" - ] - }, - { - "cell_type": "code", - "execution_count": 118, - "id": "9a6421b6", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 2-axis plotting to establish relationship between overal CCVI index and Lab confirmed cases \n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['No. of Cases (Lab Confirmed)'])\n", - "ax1.set_ylabel('No. of Cases (Lab Confirmed)')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'r-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='r')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('r')\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "bffcdf76", - "metadata": {}, - "source": [ - "Benue, Borno, Bayelsa, Ekiti, Akwa-Ibom and Jigawa all indicated inverse relationship between the No. of Cases (Lab Confirmed) and Overall CCVI Index i.e as Number of Cases (Lab Confirmed) decreased, Overall CCVI Index tended to increase across these states with Jigawa having the highest overall ccvi index but with lowest lab confirmed cases. For Abia, Osun, Imo, overall ccvi index were lower at higher confirmed lab csaes. Bauchi state showed that high number of confirmed cases was at par with its high overall ccvi index i.e the impact of covid crisis can be directly linked to number of confirmed cases. Inverse relationships for other states further suggests that impact of covid crisis is unconnected to number confirmed lab cases alone." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cafd22ea", - "metadata": {}, - "outputs": [], - "source": [ - "#Further Analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "id": "729ce8f8", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 2-axis plotting to establish relationship between overal CCVI index and Socio-Economic index\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Socio-Economic'])\n", - "ax1.set_ylabel('Socio-Economic')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'g-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='g')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('g')" - ] - }, - { - "cell_type": "markdown", - "id": "749e0d26", - "metadata": {}, - "source": [ - "For the top 10 states, here we see some direct correlation between Socio-Economic indices and overall CCVI index in most states. Generally Overall CCVI index are higher than Socio-Economic indices as Osun and Bauchi and Jigawa. Osun state had the lowest and equal Socio-Economic indices and Overall CCV index. Jigawa had the highest and equal Socio-Economic index and Overall CCVI index. It can be infered that the impact of the covid crisis is generally higher and can be traced to Socio-Economic indices such as poverty, unemployment, e.t.c " - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "id": "03328e1e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#2-axis plotting to establish relationship between overal CCVI index and Acute IHR Index.\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Acute IHR'])\n", - "ax1.set_ylabel('Acute IHR')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'y-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='y')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('y')" - ] - }, - { - "cell_type": "markdown", - "id": "ceca7d9a", - "metadata": {}, - "source": [ - "Inverse correlation between Overall CCVI index and Acute IHR were observed in all top 10 states. Abia, Osun, Imo and Ekiti states had lower Overall CCVI index with relatively higher Acute IHR. Abia had the highest Acute IHR index and Jigawa the lowest. Borno and Jigawa had the highest Overall CCVI index. Bauchi, Borno, Benue and Jigawa Sates have the higher Overall CCVI index with correspondingly lower Acute IHR index. Borno and Jigawa had the highest Overall CCVI index. Thses observation suggests that the impact of covid crisis cannot be traced to Acute IHR alone. " - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "id": "e2b86b77", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#2-axis plotting to establish relationship between overal CCVI index and Fragility index.\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Fragility'])\n", - "ax1.set_ylabel('Fragility')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'b-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='b')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('b')\n" - ] - }, - { - "cell_type": "markdown", - "id": "1a6aaf93", - "metadata": {}, - "source": [ - "Inverse correlation is observed between Fragility index and Overall CCVI index in almost all the top 10 states being considered here. While Osun, Benue and Ekiti all had lower Overall CCVI index with a correspondingly higher Fragility index, Abia, Bauchi, Imo, Bayelsa, Akwa Ibom and Jigawa states all had higher Overall CCVI index with correspondingly lower Fragility index. Only Borno showed equal Fragility and Overall CCVI indices. It is therefore inferable that Fragility alone can be responsible for the recorded impact of the covid crisis in Borno. This is however not applicable to other members of the top 10 states where Fragility alone may not be responsible for the recorded impact of covid crisis." - ] - }, - { - "cell_type": "markdown", - "id": "69fad07e", - "metadata": {}, - "source": [ - "TODO I - Determine the relationship between the external dataset and the NCDC COVID-19 dataset.\n", - "\n", - ">Here you will generate a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", - ">Provide a summary of your observation" - ] - }, - { - "cell_type": "markdown", - "id": "1b05f7bd", - "metadata": {}, - "source": [ - "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset.\n", - "\n", - "#Generating a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", - "\n", - "#Also will Provide a summary of your observation" - ] - }, - { - "cell_type": "code", - "execution_count": 355, - "id": "79236f5a", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Regression plot between Confirmed cases population density of top 10 states.\n", - "# regplot\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=Top10_NCDC_external).set_title('Confirmed Cases and Population Density')" - ] - }, - { - "cell_type": "markdown", - "id": "eaf3d582", - "metadata": {}, - "source": [ - "For the top ten (10) highest confirmed cases, it is generally observed that there is higher uniformity in distribution of confirmed cases across most population densities in states in Nigeria. However, a few outliers (exception to this case) exists: There are five occurences which are above the common distribution value across states and there are five occurences which are below the common distribution value in states of various population densities. " - ] - }, - { - "cell_type": "code", - "execution_count": 430, - "id": "6faecbce", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Regression Plot for Lab confirmed cases vs population density for all states\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=NCDC_external).set_title('Confirmed Cases and Population Density')" - ] - }, - { - "cell_type": "markdown", - "id": "2e596b41", - "metadata": {}, - "source": [ - "The general trend indicates that higher record of Lab confirmed cases is associated with higher population densities across all states. There are also many outlier cases that does not align with this trend i.e does not show that higher or lower confirmed cases connected with higher or lower pouplation densities." - ] - }, - { - "cell_type": "code", - "execution_count": 131, - "id": "96eb987a", - "metadata": {}, - "outputs": [], - "source": [ - "# Further analysis on other indicators: Recovery rate\n", - "JH_Daily_Recovery_Nigeriadf['Recovery Rate'] = JH_Daily_Recovery_Nigeriadf['Recovered Cases'].diff()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 132, - "id": "a243f893", - "metadata": {}, - "outputs": [], - "source": [ - "# Further analysis on other indicators: Death rate\n", - "JH_Daily_DeathsNigeriadf['Death Rate'] = JH_Daily_DeathsNigeriadf['Death Cases'].diff()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 139, - "id": "cb091148", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Recovery Rate in Nigeria')" - ] - }, - "execution_count": 139, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Further analysis on other indicators: lineplot of Recovery rate \n", - "plt.figure(figsize = (20,10))\n", - "sns.lineplot(x = 'Date', y = 'Recovery Rate', data = JH_Daily_Recovery_Nigeriadf).set_title('Daily Recovery Rate in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "544b3271", - "metadata": {}, - "source": [ - "The highest recorded rate of recovery of 11188.0 was made on 2020-08-04 while the lowest was -165208.0 on 2021-08-05." - ] - }, - { - "cell_type": "code", - "execution_count": 140, - "id": "d727aa53", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "11188.0" - ] - }, - "execution_count": 140, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Highest recovery rate\n", - "Highest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].max()\n", - "Highest_recovery_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 141, - "id": "dc8e69c8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateRecovered CasesRecovery Rate
1952020-08-043185111188.0
\n", - "
" - ], - "text/plain": [ - " Date Recovered Cases Recovery Rate\n", - "195 2020-08-04 31851 11188.0" - ] - }, - "execution_count": 141, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == 11188.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 142, - "id": "e315403a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-165208.0" - ] - }, - "execution_count": 142, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Lowest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].min()\n", - "Lowest_recovery_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 143, - "id": "f911ea90", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateRecovered CasesRecovery Rate
5612021-08-050-165208.0
\n", - "
" - ], - "text/plain": [ - " Date Recovered Cases Recovery Rate\n", - "561 2021-08-05 0 -165208.0" - ] - }, - "execution_count": 143, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "\n", - "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == -165208.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 144, - "id": "a02231ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Death Rate in Nigeria')" - ] - }, - "execution_count": 144, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Further analysis on other indicators: Seaborn's lineplot Death rate\n", - "plt.figure(figsize = (15,5))\n", - "sns.lineplot(x = 'Date', y = 'Death Rate', data = JH_Daily_DeathsNigeriadf).set_title('Daily Death Rate in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "73b25263", - "metadata": {}, - "source": [ - "There was a spike in the death rate in Nigeria on 2021-08-29 with a record high of 93.0. The reason may be because that relaxed perventive measures with apparent ease of local restrictions. The lowest death rate of -4.0 was recorded on 2022-06-10 perhaps due to the success at global control the corona virus, especially in year 2022." - ] - }, - { - "cell_type": "code", - "execution_count": 145, - "id": "c4596cbc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "93.0" - ] - }, - "execution_count": 145, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Highest_death_rate = JH_Daily_DeathsNigeriadf['Death Rate'].max()\n", - "Highest_death_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 146, - "id": "34e9077c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateDeath CasesDeath Rate
5852021-08-29245493.0
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" - ], - "text/plain": [ - " Date Death Cases Death Rate\n", - "585 2021-08-29 2454 93.0" - ] - }, - "execution_count": 146, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] == 93.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 147, - "id": "421c5844", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-4.0" - ] - }, - "execution_count": 147, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Lowest_death_rate=JH_Daily_DeathsNigeriadf['Death Rate'].min()\n", - "Lowest_death_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 148, - "id": "e79bfc0f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateDeath CasesDeath Rate
8702022-06-103144-4.0
\n", - "
" - ], - "text/plain": [ - " Date Death Cases Death Rate\n", - "870 2022-06-10 3144 -4.0" - ] - }, - "execution_count": 148, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] ==-4.0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "55dfb36f", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 150, - "id": "0d3d5777", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Regression\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=NCDC_external[\"Age\"], y=NCDC_external[\"No. of Cases (Lab Confirmed)\"], data=NCDC_external).set_title('Age and infection Pattern in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "143c42d6", - "metadata": {}, - "source": [ - "The above plot displays the association between number of confirmed cases and age of populations. Though it can be infered from the regression trend that susceptibility to the covid infections are generally associated with elderly group in populations, many outliers indicates that many other age categories also were captured in high and low number of recorded lab confirmed cases." - ] - }, - { - "cell_type": "code", - "execution_count": 151, - "id": "75ed56aa", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Age\", y=\"No. of Deaths\", data=NCDC_external).set_title('Age and Mortality in States in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "5baf5607", - "metadata": {}, - "source": [ - "Apparently, the number of deaths tends to be more in the younger population because they are more in the overall population compared to the elderly group. The trendline of the regression does however indicate that the number of deaths recorded among the elderly group is still significant because they are less in population compared to the younger populace. " - ] - }, - { - "cell_type": "code", - "execution_count": 152, - "id": "6110820e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Bar plot for Mortality and Health Systems\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.barplot(x=\"Health System\", y=\"No. of Deaths\", data=NCDC_external).set_title('Mortality and Health System')" - ] - }, - { - "cell_type": "markdown", - "id": "bc686c82", - "metadata": {}, - "source": [ - "From the bar plots above, it is not clear whether health systems in states in Nigeria had any significant influence on the number of deaths recorded during the covid crisis." - ] - }, - { - "cell_type": "code", - "execution_count": 153, - "id": "a0805c69", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Bar plot for Discharged cases and Health Systems\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.barplot(x=\"Health System\", y=\"No. Discharged\", data=NCDC_external).set_title('Discharged Cases and Health System')" - ] - }, - { - "cell_type": "markdown", - "id": "70262c2a", - "metadata": {}, - "source": [ - "Health systems of a country may influence the overall health impact of coroner virus. Higher system indices show that health crisis mangagemnt are more effective and therefore there are chances that there will be higher number of discharged cases.\n", - "So far from the barplot, it is inconclusive to say that the health system of Nigeria influenced the number of covid discharged cases in Nigeria. This is further highlighted by the large error bars which indicates higher measure of dispersion from any possible trend." - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "id": "76e60106", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Health System in States')" - ] - }, - "execution_count": 154, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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oKEtb7dq1cXR0ZPLkyVy7du2OZ5edOXOGJUuW3LFH68KFC6Snp2d53tPtIPr3zfoNGjQAYNSoUVmOJyUlMWLECGbNmnXX5b7coF69eri6uvLNN9+wZMmSO/5eb9y4wfjx4wGy/Ebo7XH6+x6ye/33tWHDBn766Scg639fd7vG7UdVjB8/PsvvZV67do2RI0cyd+5cUlNTgUf7exV5nLTUKGLFSpQoQc+ePRk7dixhYWFUq1YNV1dXfv75Z44fP84LL7xAkyZNgFvPwSpUqBBffvklp0+fpmTJksTHx7N582bzZuwrV67c935PPfUUZ8+e5aOPPqJChQrmwPRf1atXj2PHjjF37lxatWrFCy+8QOnSpc0zYdu3b8fR0ZEJEybcsU/KxcWFGjVqsHr1ap588kn+97//ZWl//fXXWbZsGZ9//jm7du3Cz8+PpKQk1q9fT758+Wjfvr353NsP+Bw2bBgVKlSgffv2NGjQgJ9++okNGzYQFhZG5cqVgVtLa5cvX6ZNmzbmmcfcxsXFhTFjxtC7d29GjBjBvHnzePHFF3F1deXSpUts376dixcv0rp16yzPUbsdambNmsWJEydo0aIF9evXZ82aNfTr14+QkBAKFizIkSNH+OWXX3jiiSe4fPlylv++bo/1pEmTqFSpEh07duT555/nzTffZP78+bRo0YKqVavi6OjIjz/+yLlz5wgNDTU/M+1R/l5FHicFLxEr16JFC0qWLMm8efPYtGkTaWlpFC9enG7dutGyZUvzXpkiRYrwxRdf8MUXX7B792527NiBh4cHr7/+Ou3ataNt27bs2rWLtLS0LI9N+Lv33nuPoUOHsnHjRo4cOfLYghdAjx49CA4OZtmyZfz666/s37+fjIwMPDw8aNasGa1bt87yuIq/q1OnDqtXryY0NBQ7O7ssbYUKFWLq1KnMmjWLn3/+md27d+Pk5MRLL71E+/bts3xT75133uHUqVP88ssvHDx4kDfffBMnJyeGDRvG4sWLWbFiBd9++y2Ojo74+PjQu3fvLI+NyI2ee+45Fi9ezFdffcX27dtZv349f/31F66urpQvX56mTZuaw+ZttWvXZtu2bfz4448sWrSIl156iSpVqjBs2DC+/PJLVq9ejaOjI56enoSHh1OtWjWaNGnC9u3bzf/NNGvWjP3797Nr1y5OnjxJw4YN8fb2pmfPnjzzzDMsXryY1atXY2Njg5eXF61bt6Zx48bmJcpH+XsVeZxskpKSjNmUISKSQ9x+2vn8+fMpXbq00eWISB6mPV4iYtUSExP55ptvKF++vEKXiGQ7LTWKiFVavXo1c+bM4ezZs6SmpjJgwACjSxIRK6DgJSJWqWjRopw/f54CBQrw3nvvUaVKFaNLEhEroD1eIiIiIhaiPV4iIiIiFqLgJSIiImIh2uOVA22L22Z0CY/M09UT78L3/62/nMxkMuHn52d0GVZJY28sjb9xNPbGMmr8FbxyoLDZYUaX8Mhi28Tm6uAlIiJiCVpqFBEREbEQBS8RERERC7Ga4BUYGMiOHTuMLkNERESsmNUELxERERGjKXiJiIiIWIi+1fj/LV++nDlz5vDbb7/h7OxM7dq1ef/997G3vzVE8+fPZ968efz11180aNCAEydO0KBBAxo2bEhGRgbz5s1jyZIlJCYm4u/vT0REBGXKlAFg/fr1REVFER8fj4eHB23btuXVV181srsiIiJiAM14AXv37mXUqFF07dqVr7/+mr59+7JixQo2btwIwPfff09UVBQ9e/YkOjqahIQEdu/ebf58dHQ08+bNo1evXnz55Zd4enoSHh5OSkoKly9f5qOPPiIsLIxFixbRtm1bPvvsM06dOmVQb0VERMQoCl6Ao6MjAwYMoGbNmhQrVozatWtTpkwZ4uLiAFi0aBHNmzcnJCSEUqVK8cknn+Do6AhAZmYmCxcupEOHDlSrVg1fX18GDBiAvb09q1at4uLFi6SlpVGkSBGKFSvGq6++yqRJkyhcuLCRXRYREREDaKkRKFeuHI6OjkRFRXHy5EmOHz/O2bNneemllwA4fvw4rVu3Np9fqFAhvL1vPSz08uXLXL16lfLly5vb7e3tKVeuHKdOnaJZs2aEhobSq1cvSpQoQdWqVWnYsCGFChWybCdFRETEcJrxArZt28bbb79NYmIilStXZsSIEQQEBJjb7ezs7vhMZmYmgHnm658yMjJIT0/HxsaGoUOH8uWXX1KvXj327NnDO++8w/bt27OnMyIiIpJjKXgBy5Yto0GDBvTv35/GjRvj4+NDfHy8OVw9/fTTHD582Hx+cnIyv/32GwAuLi64u7tz4MABc3taWhpHjhzB29ubU6dOERkZyTPPPEOnTp2YM2cOFStWZNOmTRbto4iIiBjPqpYaDx8+THp6epZjFSpUwNXVlf3792MymbC1tWX27NkkJiZy8+ZNAJo3b87w4cN55pln8PX1JSoqir/++st8jVatWhEdHU3RokUpWbIkX375JdeuXaNu3bpkZmbyzTff4OzsTIMGDUhISOD48eOEhIRYtO8iIiJiPKsKXl988cUdx2bNmkXHjh0ZPHgw7du3x9nZmSpVqvDGG29w9OhRAOrWrcvZs2cZOXIkN27c4LXXXsPT0xMHBwcAwsLCSElJYfjw4SQnJ1OhQgWmTZvGk08+CcDIkSP54osvmDNnDoUKFaJp06Y0atTIch0XERGRHMFqgteDfi5o0qRJ92zbvXs3DRs2pH379sCtpcTly5fj7u4OgK2tLZ06daJTp053/XxQUBBBQUH/snIRERHJK6wmeP0XmzZtYv/+/fTt25cCBQrw1Vdf4ezsnOWbjCIiIiIPouD1EDp37syoUaN47733uH79OgEBAUyYMOGe32j8r2LbxGbLdbOTp6un0SWIiIjkeApeD8HZ2ZnBgwdb7H5BvlqWFBERyYv0OAkRERERC1HwEhEREbEQLTXmQNvithldgtVJvZlKYlyi0WVYJY29sVwcXIwuQcSqKHjlQGGzw4wuQUSsREzzGKNLELEqWmoUERERsRAFLxEREREL0VLjXTRq1IiEhIQ7jj/99NN89dVXAGzbto05c+Zw5MgR7OzsKF++PF26dKFs2bIABAYG3vceD3qSvoiIiOQ9Cl73EB4eTmhoaJZj9va3hmvBggV8/vnndOrUiT59+pCenk5sbCydO3dm2rRplC1bllWrVpk/N2bMGGxtbendu7dF+yAiIiI5i4LXPTg7O5t/i/Hv4uPjmThxIgMGDKB+/frm4x999BHnzp1j8uTJTJgwIctn8+XLh52d3V2vJyIiItZDwesRrV69GldXV+rVq3dHW79+/cjMzDSgKhEREckNFLwekclk4plnnsHW9s7vJZQsWdKAikRERCS3UPC6hzFjxhAZGZnl2DfffENycjJPPPGEQVWJiIhIbqbgdQ8dOnSgdu3aWY65urri6urKn3/+aVBVIiIikpvpOV734ObmhpeXV5Y/dnZ2+Pv7c/jw4bvu5frpp58YMGAAaWlpBlQsIiIiOZ2C1yOqXbs2KSkpWR4XAZCRkcG8efO4cuWK+bETIiIiIn+nhPCIPDw86Ny5M8OHDycpKYng4GCSk5PND1ONjo42ukQRERHJoRS8/oXWrVtTpEgRFixYQHR0NA4ODgQEBBAdHU2pUqWMLk9ERERyKAWvu1i2bNkDzwkNDb3jyfb3MmTIkP9akoiIiOQBCl45UGybWKNLsDqpqak4OTkZXYZV0tgby8XGxegSRKyKglcOFOQbZHQJVsdkMuHn62d0GVZJY28sk8lkdAkiVkXfahQRERGxEAUvEREREQtR8BIRERGxEO3xyoG2xW0zugSrk3ozlcS4RKPLsEoae2Np/I2T28fe09UT78LeRpeR6yh45UBhs8OMLkFEROS+YtvEKnj9C1pqFBEREbGQXB+8AgMD2bFjR5Zje/bsITg4mDFjxvyra06ZMoUuXbo8jvJEREREzHJ98Ponk8lEREQEISEhREREGF2OiIiIiFmeCl7x8fGEh4cTGBjIgAEDsLGxMbokEREREbM8s7n+8uXL9OjRg9KlSzN06FDs7OzMbYmJiYwZM4adO3dy7do1fH196d27N88//zwAJ0+eZPjw4Rw5coTnnnuOEiVKmD+7YsUKpk6dyooVK8zHunTpwnPPPUfXrl0ZPHgwLi4u/PHHH/z4448UKVKEd955h4YNGz7UvUVERMR65IkZr5SUFMLDwzl//jxDhw7FwcEhS/snn3xCWloa0dHRzJkzBw8PD0aOHAnAjRs36NWrF56ensyZM4caNWo81I9k/93XX39NmTJlmDNnDpUrV2bkyJFcuXLlgfcWERER65IngteoUaMAcHBwYPbs2Xe0BwcH06dPH3x9fXn66adp1qwZcXFxZGZmsmPHDpKSkvjwww/x8fGhWbNmVK9e/ZHuX7p0ad5++228vb3p2rUr169f58SJEw+8t4iIiFiXPLHUWKhQISZNmsS6desYM2YMNWvWpEKFCub2pk2bsmbNGvbt28fp06c5cuQIAOnp6cTFxVG8eHEKFChgPr9cuXJs2/bwDzEtXry4+bWLiwsAaWlpD7y3vX2eGH4RERF5SHniX/6ePXvi5uZG06ZNWb16NUOGDGHu3Lk4OjqSkZHBe++9x9WrVwkJCSE4OJibN2/y4Ycf3vN6DwpE6enpWd7/c2nztn9zbxEREcm78sRS4+2N9DY2NvTv35+EhASmTZsGQFxcHHv27GHSpEm0a9eOqlWrcunSJfNnS5UqxdmzZ7l69ar52NGjR82vHRwcSElJMS8NZmZmcu7cuYeq60H3FhEREeuSJ4LX3/n6+tK2bVvmz5/Pvn37cHFxwdbWlrVr15KQkMD69euJiooCbm2sDwwMpFixYgwdOpSTJ0/y7bffsmHDBvP1/P39SUlJ4csvvyQ+Pp6JEydmCWn386B7i4iIiHXJc8ELoG3btvj4+DB06FBcXV358MMPmTdvHi1atGDWrFlERERgb2/P0aNHsbe3JzIykpSUFNq0acPSpUtp2rSp+VpeXl6Eh4cTGxtL69atuXnzJiEhIQ9Vh4eHx33vLSIiItbFJikpSV+vy2F8BvkYXYKIiMh9xbaJJcg3yOgy/jWTyYSfn5/F75snZ7xEREREcqI88a3GvCa2TazRJVid1NRUnJycjC7DKmnsjaXxN05uH3tPV0+jS8iVFLxyoNw8dZtbmUwm/HwtP+UsGnujafyNo7G3TlpqFBEREbEQBS8RERERC9FSYw60Le7hf65IHo/Um6kkxiUaXca/5unqiXdhb6PLEBGRB1DwyoHCZocZXYLkMrFtYhW8RERyAS01ioiIiFiIgpeIiIiIheSJpcZGjRqRkJBgfm9nZ4eHhwevv/46bdq0oUuXLjz33HN07dr1gde6fPkyu3bteuifBRIRERF5WHkieAGEh4cTGhoKQHp6Ojt37uSzzz6jSJEij3Sdzz//nLS0NAUvEREReezyTPBydnbG3d3d/L5hw4asWbOGDRs2PNJ1MjP105UiIiKSPfL0Hi87Ozvy5cuX5VhaWhoTJ06kYcOGBAUF8dprr7F48WIAoqKiWLlyJd9//z2NGjUCIDk5mUGDBlGzZk3q1avHsGHDSElJMV9v8+bNvPXWW1StWpWaNWvSv39/kpOTzdfr2LFjlvs3atSIpUuXZmOvRUREJKfKk8ErLS2NjRs38vPPP1OtWrUsbbNnz+bHH39k+PDhLF68mIYNGzJ27FguXrxI69atqVOnDrVq1WLWrFkADB06lCtXrhAVFUVkZCSnT59myJAhAMTHx9O3b1+aNGnCwoULGT58OL/88gtLliyxdJdFREQkF8gzS41jxowhMjISgOvXr5M/f37CwsKoV69elhmmUqVKMWDAACpUqABA27ZtiY6O5vTp07z44os4OjqSnp7OE088wW+//camTZtYs2YNrq6uAAwaNIhGjRpx/vx50tPT6d27N6+//joAnp6eBAYGcvLkSct2XkRERHKFPBO8OnToQO3atQHIly8f7u7u2NnZ3XFejRo1+Pnnnxk/fjynT5/myJEjAGRkZNxxblxcHJmZmbz22mt3tJ0+fZrAwEDy5ctHTEwMJ0+eNP+pW7fuY+6diIiI5AV5Jni5ubnh5eX1wPOmTJnCN998w6uvvsorr7zCBx98YN7P9U/p6ek4OTkxd+7cO9rc3d05duwYHTt2JDg4mIoVK/Lmm28SGxtrPsfGxuau1xQRERHrlGeC18NasmQJ77//vvnRE7eXBW9/m/HvYcnb25vU1FQyMjLw9r71cyxnz55l/Pjx9OvXj++++46AgAA+/fRT82fOnj1rDoAODg5ZNuKnpqZy+fLl7O2giIiI5Fh5cnP9/bi6uvLTTz8RHx/Pr7/+yqBBgwC4ceMGAE5OTiQkJHDhwgV8fX0JCgrik08+4cCBAxw7doxBgwZx+fJl3N3dcXV15eTJkxw4cIAzZ84wfvx4Dh06xM2bNwHw9/fn+PHjfPfdd5w5c4bhw4ffdflTRERErIPVBa+PPvqIEydO0LJlSwYNGkTt2rUpX748x44dA6BBgwbEx8fTqlUrMjMzGTx4MF5eXnTv3p0uXbpQpEgRRo8eDUCLFi0ICAige/fudOjQgYSEBDp06GC+1ksvvUTr1q0ZM2YM7du3x9vbm4CAAMP6LiIiIsaySUpK0hNDcxifQT5GlyC5TGybWIJ8g4wu418xmUz4+fkZXYbV0vgbR2NvLKPG3+pmvERERESMYnWb63OD2DaxDz5JHqvU1FScnJyMLuNf83T1NLoEERF5CApeOVBuXTLKzUwmE36+mvIXEZHspaVGEREREQtR8BIRERGxEC015kDb4rYZXYLVSb2ZSmJcotFlWCWNvbE0/sZxcXAxugQxgIJXDhQ2O8zoEkREJJvFNI8xugQxgJYaRURERCxEM14PcPnyZaZPn87mzZu5cuUKHh4ehIaG8tZbb5E/f36jyxMREZFcRMHrPi5cuEDHjh3x9PRk8ODBFCtWjOPHjzNlyhS2bNnC1KlTFb5ERETkoWmp8T5Gjx5N0aJFmTRpEi+88AKenp5Uq1aNqKgoLl68yIwZM4wuUURERHIRBa97uHz5Mps3b6ZNmzbY22edGCxYsCAtW7bk22+/5b333mPkyJFZ2gcMGMCYMWMAiIuLo0ePHtSsWZP69esTFRVFRkaGxfohIiIiOYeC1z0cOXKEjIwMnn322bu2V6xYkT/++IPnnnuOjRs3kp6eDsC1a9f46aefqFu3LklJSXTq1IkiRYoQExPDhx9+yOLFi5k3b54luyIiIiI5hILXPVy9ehW4Nbt1N4UKFQLgxRdfJCUlhT179gDw008/4ebmRoUKFVi9ejWOjo7069cPX19fqlevTufOnZkzZ45lOiEiIiI5ioLXPdwOVpcuXbpr+8WLFwEoXLgwVatWZd26dQCsW7eOunXrYmNjQ1xcHGXLls2yVBkQEEBSUhJJSUnZ2wERERHJcRS87sHf3x87OzsOHz581/ZDhw7h5uZG8eLFCQ0NZdOmTaSkpLBlyxbq1q0LQL58+e743O39XbeXJkVERMR6KHjdg5ubG7Vr1yY6Opq0tLQsbcnJycyfP59XX30Ve3t7qlSpws2bN/nyyy/x9PTEz88PAF9fX44ePZrl8/v376dQoUI88cQTFu2PiIiIGE/B6z569uxJamoq3bt3Z/fu3fz+++9s3bqVzp074+HhQceOHYFbM1s1atRg/vz55tkugNDQUNLT0xk+fDhxcXH8+OOPREVF0bRpU2xtNfQiIiLWRg9QvQ93d3dmzJjBzJkzGTx4MJcvX77nk+vr1q3L8uXLswSvAgUKMGHCBMaOHctbb72Fm5sbLVq04J133jGiOyIiImIwBa8HcHNzo1evXvTq1eu+5yUmJvLss8/i5eWV5XiZMmWYNm1adpYoIiIiuYSC138UHx/PoUOHmDFjBm+//bbR5YiIiEgOpuD1H507d46hQ4dSpUoVXn311cdyzdg2sY/lOvLwUlNTcXJyMroMq6SxN5bG3zguNi5GlyAGsElKSso0uggRo5lMJvO3UcWyNPbG0vgbR2NvLKPGX1+tExEREbEQBS8RERERC9EerxxoW9w2o0uwOqk3U0mMSzS6DKuksTeWi4P2GYlYkoJXDhQ2O8zoEkTESsQ0jzG6BBGroqVGEREREQtR8BIRERGxEKtYamzUqBEJCQnm9zY2NhQsWJCKFSvSp08fPDw8CAwM5PPPPycwMNDASkVERCQvs4rgBRAeHk5oaCgAGRkZxMXFMWLECAYNGsSUKVNYtWoVrq6uBlcpIiIieZnVBC9nZ2fc3d3N74sWLUrnzp35+OOPSU5OztImIiIikh2seo+Xg4MDALa2tgQGBrJjxw6+/vprGjZsSGbm/z3Qf+3atdSrV4/09HRu3LjBuHHjqFu3LnXq1KFfv35cunQJuPXzQYGBgcyYMYPatWszdOhQkpOT6d+/P3Xq1KFmzZp88MEHJCbqq/MiIiLWyGqD15kzZ4iKiiIoKIgCBQqYj9euXZtLly5x8OBB87H169dTu3Zt7OzsmDx5Mvv372fcuHFMmzaNzMxMevfunSWo7dmzh9mzZ/P2228zbdo0EhISmDp1KjNmzOCPP/5g/PjxluyqiIiI5BBWs9Q4ZswYIiMjAUhPT8fBwYFq1arRq1evLOe5ubkRGBjIhg0bKF++PKmpqWzdupVJkyZx7do1Fi1aRExMDGXLlgVg0KBBhISEsHfvXjw8PABo0aIFJUqUACAhIQEnJyc8PT0pUKAAgwYN4s8//7Rgz0VERCSnsJrg1aFDB2rXrk1qairTp0/n999/p2vXrri5ud1xbkhICDExMfTo0YOffvoJV1dXAgICOHnyJDdv3qRTp05Zzr9x4wZnzpwxBy9PT09z29tvv02vXr0IDQ3lhRdeoEaNGtSvXz9b+yoiIiI5k9UELzc3N7y8vAAYNmwYbdq0oU+fPsycORN7+6zDUKNGDUaOHMmxY8dYv349ISEh2NjYkJ6eDsDUqVNxccn6MxtPPPEEV69eBSBfvnzm4wEBASxbtoyffvqJLVu2MGHCBFavXs2UKVOys7siIiKSA1nlHi8HBwcGDhyIyWRi3rx5d7S7uLgQFBTEhg0b2L59OyEhIQAUL14cOzs7kpKS8PLywsvLiyeeeILx48dneU7Y38XGxnLw4EHq1avH0KFDiYyMZNeuXeYN+SIiImI9rDJ4Afj7+/Paa68xc+ZMLly4cEd73bp1+eqrr3jyyScpV64ccOuRFI0aNWLMmDHs3LmTU6dOMWjQII4fP26eTfun8+fPM2bMGPbt20d8fDzff/89Tz311F2XOEVERCRvs5qlxrvp1q0bGzZsYOLEiXe0Va1aFcA823Vbz549mTRpEgMGDODGjRtUqFCBiRMnkj9//rveo0uXLqSkpNCnTx/++usvnn32WcaNG4ednd3j75CIiIjkaDZJSUmZDz5NLMlnkI/RJYiIlYhpHkMt/1pGl2GVTCYTfn5+RpdhtYwaf6tdahQRERGxNKteasypYtvEGl2C1UlNTcXJycnoMqySxt5YLjYuDz5JRB4bBa8cKMg3yOgSrI7JZMLPV1P+RtDYG8tkMhldgohV0VKjiIiIiIUoeImIiIhYiJYac6BtcduMLuGRebp64l3Y2+gyREREcjQFrxwobHaY0SU8stg2sQpeIiIiD6ClRhEREREL0YzXfTRq1Oiev8E4atQoatSokeXYjh07eO+999ixY4cFqhMREZHcRsHrAcLDwwkNDb3jeKFChQyoRkRERHIzBa8HcHZ2xt3d3egyREREJA9Q8PoPkpOTGTFiBD/99BPu7u689tprWdrPnz/P+PHj2blzJzY2NtStW5cePXrg6OhoUMUiIiJiJAWv/2DEiBGcOnWKqVOn8scffzB48GBz282bN+nWrRteXl5MmTKFK1eu8Nlnn5GZmckHH3xgYNUiIiJiFAWvBxgzZgyRkZFZjhUsWJCvvvqK9evX8/nnn/PMM88A0K5dO8aMGQPAtm3buHDhAjExMbi6ugLwwQcf0Lt3b7p164aLi34fTURExNooeD1Ahw4dqF27dpZjtra2nDlzhvT0dPz8/u835sqVK2d+HRcXh5eXlzl0AVSoUIH09HTOnDmDv79/9hcvIiIiOYqC1wO4ubnh5eV1x/ErV64AkJmZaT5mb/9/w3m3fVwZGRlZ/q+IiIhYFz1A9V8qWbIk9vb2HDp0yHzs6NGj5tc+Pj6cPXvWHNAA9u/fj52dHSVKlLBorSIiIpIzaMbrAVJSUkhMTLzjuJOTE6+88grjxo3j448/5vr168TExJjbAwMDKVmyJIMGDaJbt25cvXqVsWPHEhISgpubmwV7ICIiIjmFgtcDTJgwgQkTJtxxvFWrVvTp04cxY8bQo0cPChUqRPPmzZk4cSJwax/Y6NGjGT16NO3ataNAgQKEhoby7rvvWroLIiIikkMoeN3HsmXLHnjOwIEDGThwoPl969atza89PT3v+EakiIiIWC/t8RIRERGxEM145UCxbWKNLuGRebp6Gl2CiIhIjqfglQMF+QYZXYKIiIhkAy01ioiIiFiIgpeIiIiIhSh4iYiIiFiI9njlQNvithldgtVJvZlKYtydD8qV7KexN5aLg4vRJYhYFQWvHChsdpjRJYiIlYhpHvPgk0TksdFSo4iIiIiFWPWM1+XLl5k+fTqbN2/mypUreHh4EBoayltvvUX+/PmNLk9ERETyGKsNXhcuXKBjx454enoyePBgihUrxvHjx5kyZQpbtmxh6tSpCl8iIiLyWFntUuPo0aMpWrQokyZN4oUXXsDT05Nq1aoRFRXFxYsXmTFjhtElioiISB5jlcHr8uXLbN68mTZt2mBvn3XSr2DBgrRs2ZJvv/2W9PR0Dh8+TLt27QgODqZ9+/ZMmzaNLl26ALBixQoaNmyY5fNdunRhypQpAAwePJixY8cycOBAqlWrRtOmTVmxYoVlOikiIiI5jlUGryNHjpCRkcGzzz571/aKFSvyxx9/cOLECcLDwylTpgxz5swhNDSUWbNmPdK9vv76a/PnK1euzMiRI7ly5cpj6IWIiIjkNlYZvK5evQrcmt26m0KFCgHwww8/4OjoyPvvv4+Pjw/Nmzendu3aj3Sv0qVL8/bbb+Pt7U3Xrl25fv06J06c+G8dEBERkVzJKoPX7WB16dKlu7ZfvHgRgIMHD1K2bNksy5EVKlR4pHsVL17c/NrF5daDCtPS0h7pGiIiIpI3WGXw8vf3x87OjsOHD9+1/dChQ7i5uVG8eHEyMzOztP3z/T+lp6dnee/g4PDfihUREZE8wyqDl5ubG7Vr1yY6OvqO2afk5GTmz5/Pq6++ip+fHyaTKUuY+ntYc3BwICUlxRzGMjMzOXfunGU6ISIiIrmOVQYvgJ49e5Kamkr37t3ZvXs3v//+O1u3bqVz5854eHjQsWNH6tatS2pqKuPGjeP06dMsXbqUtWvXYmNjA9yaOUtJSeHLL78kPj6eiRMnmvePiYiIiPyT1QYvd3d3ZsyYQZkyZRg8eDBvvPEG48aNo0aNGkybNo38+fNToEABxo4dy6+//sqbb77JypUreeWVV8x7vry8vAgPDyc2NpbWrVtz8+ZNQkJCDO6ZiIiI5FQ2SUlJ99+0ZMXi4+O5ePEiFStWNB8bNWoUqampfPLJJ9l2X59BPtl2bRGRv4tpHkMt/1pGl2GVTCYTfn5+RpdhtYwaf6ud8XoYKSkpvPvuu6xfv56EhAQ2btzId99998iPlBAREREBK/6txodRpkwZ+vTpw+TJkzl//jweHh6Eh4dTtWrVbL1vbJvYbL2+3Ck1NRUnJyejy7BKGntjudi4GF2CiFXRUqMImvI3ksbeWBp/42jsjaWlRhEREZE8TsFLRERExEK0xysH2ha3zegSrE7qzVQS4xKNLsMquThoj5GIWA8FrxwobHaY0SWIWExM8xijSxARsRgtNYqIiIhYiIKXiIiIiIVYffAKDAxkx44dWY7t2bOH4OBgxowZY1BVIiIikhdZffD6J5PJREREBCEhIURERBhdjoiIiOQhCl5/Ex8fT3h4OIGBgQwYMAAbGxujSxIREZE8RMHr/7t8+TI9evSgdOnSDB06FDs7O3NbYmIiffv2pXbt2rz88su0bt2a3bt3A3Du3DkCAwPZsGEDTZo0oWbNmkRERJCUlGT+/L59++jYsSPVqlWjUaNGLFq0yNLdExERkRxAwYtbP4YdHh7O+fPnGTp0KA4ODlnaP/nkE9LS0oiOjmbOnDl4eHgwcuTILOfMmjWLIUOGMHbsWA4ePMicOXMAiIuL491336VSpUrMmTOHjh07MmnSJNatW2ex/omIiEjOoOAFjBo1CgAHBwdmz559R3twcDB9+vTB19eXp59+mmbNmhEXF0dm5v/9zGXHjh0pX748zz//PKGhoRw6dAiApUuXUrp0abp164a3tzcNGzakefPm5mAmIiIi1kMPUAUKFSpknoUaM2YMNWvWpEKFCub2pk2bsmbNGvbt28fp06c5cuQIAOnp6eZzihcvbn7t7OxMWloaAKdOneLZZ5/Ncr+AgAAWL16cnV0SERGRHEgzXkDPnj1xc3OjadOmVKhQgSFDhnD9+nUAMjIyeO+995g7dy4eHh60bt2aTz755I5r/HN58rZ8+fLdcSw9PT1LaBMRERHroOAF5o30NjY29O/fn4SEBKZNmwbc2qO1Z88eJk2aRLt27ahatSqXLl166Gv7+vpy8ODBLMf2799PyZIlH18HREREJFdQ8PoHX19f2rZty/z589m3bx8uLi7Y2tqydu1aEhISWL9+PVFRUQDcuHHjgddr2rQpx48fZ/LkyZw+fZqVK1eyePFi3njjjezuioiIiOQwCl530bZtW3x8fBg6dCiurq58+OGHzJs3jxYtWjBr1iwiIiKwt7fn6NGjD7yWh4cHkZGRbN++nTfffJOYmBjCw8Np3Lhx9ndEREREchSbpKSkzAefJpbkM8jH6BJELCameQy1/GsZXYbVMplM+Pn5GV2GVdLYG8uo8deMl4iIiIiF6HESOVBsm1ijS7A6qampODk5GV2GVXKxcTG6BBERi1HwyoGCfIOMLsHqmEwm/Hw15W8Ek8lkdAkiIhajpUYRERERC1HwEhEREbEQfasxB9oWt83oEqyO9ngZR2NvLI2/cTT2xnKxcaGCT4UHn/iYaY9XDhQ2O8zoEkRERPK0mOYxhtxXS40iIiIiFmL1M16NGjUiISEBuPVbjfnz58fPz4/27dsTFPTgbxfu2rWLrl27snXrVuzt7Tl27BgpKSlUqlQpu0sXERGRXEYzXkB4eDirVq1ixYoVxMTEEBAQQO/evdmxY8cjX6tPnz6cPn06G6oUERGR3E7BC3B2dsbd3Z0iRYpQqlQpevToQd26dYmMjDS6NBEREclDFLzuoXHjxpw4cYKzZ8+SnJzMoEGDqFmzJvXq1WPYsGGkpKTc8ZkuXbqQkJDAsGHDGDx4MACbN2/mrbfeomrVqtSsWZP+/fuTnJxs6e6IiIhIDqDgdQ++vr4AxMXFMXToUK5cuUJUVBSRkZGcPn2aIUOG3PGZkSNHUrRoUcLDw4mIiCA+Pp6+ffvSpEkTFi5cyPDhw/nll19YsmSJpbsjIiIiOYDVb66/FxeXW78fd/z4cTZt2sSaNWtwdXUFYNCgQTRq1Ijz589n+Yyrqyt2dnY4Ozvj4uLC5cuX6d27N6+//joAnp6eBAYGcvLkSct2RkRERHIEBa97uL2U6OfnR2ZmJq+99tod55w+fRo7O7t7XqNkyZLky5ePmJgYTp48af5Tt27dbKtbREREci4Fr3s4fvw4AGfPnsXJyYm5c+fecY67uzuHDh265zWOHTtGx44dCQ4OpmLFirz55pvExsZmW80iIiKSs2mP1z18++23PPPMMwQFBZGamkpGRgZeXl54eXkBMH78+LtusP+77777joCAAD799FOaNWuGv78/Z8+eJTNTv9IkIiJijTTjxa1lxcTERACSkpL49ttvWbt2LZ9//jm+vr4EBQXxySef8P7775MvXz5GjhxJRkYG7u7udzyzq0CBApw+fZorV67g6urKyZMnOXDgAIUKFWLJkiUcOnSIp556yohuioiIiMEUvIAJEyYwYcIEAAoXLkzZsmWZPHkyFStWBGDw4MGMHTuW7t27Y2NjQ2BgIO+///5dr/XGG28wceJEzp07x6BBgzh69Cjdu3fHwcGBSpUq0aFDB77//ntLdU1ERERyEJukpCSte+UwPoN8jC5BREQkT4tpHkMt/1oWv6/2eImIiIhYiJYac6DYNvrmo6Wlpqbi5ORkdBlWSWNvLI2/cTT2xnKxcTHkvgpeOVCQb5DRJVgdk8mEn6+f0WVYJY29sTT+xtHYG8tkMhlyXy01ioiIiFiIgpeIiIiIhWipMQfaFrfN6BKsTurNVBLjEo0u41/zdPXEu7C30WWIiMgDKHjlQGGzw4wuQXKZ2DaxCl4iIrmAlhpFRERELETBS0RERMRCrD54Xb58mZEjR9KwYUOCg4Np1qwZ06dP59q1a//6mg0bNmTFihWPsUoRERHJC6x6j9eFCxfo2LEjnp6eDB48mGLFinH8+HGmTJnCli1bmDp1Kvnz5ze6TBEREckjrHrGa/To0RQtWpRJkybxwgsv4OnpSbVq1YiKiuLixYvMmDHD6BJFREQkD7Ha4HX58mU2b95MmzZtsLfPOvFXsGBBWrZsybfffsuOHTto2LAh33zzDQ0bNqROnTp88sknWZYilyxZQsOGDalZsyazZs3Kcq2MjAzmzJnD66+/TnBwMJ07d+bYsWOW6KKIiIjkMFYbvI4cOUJGRgbPPvvsXdsrVqzIH3/8wblz57h06RJr164lMjKSjz76iA0bNpj3cG3bto1x48bRrVs3oqOjOXDgABcuXDBfJzo6mnnz5tGrVy++/PJLPD09CQ8PJyUlxSL9FBERkZzDaoPX1atXgVuzW3dTqFAhAJKSkkhPT6d37974+flRvXp1goKCOHz4MADLli0jJCSE+vXrU6pUKQYOHEi+fPkAyMzMZOHChXTo0IFq1arh6+vLgAEDsLe3Z9WqVRbopYiIiOQkVhu8bgerS5cu3bX94sWLALi6ugJQokQJc5uzszNpaWkAxMXF4ef3fz9y6ubmRrFixYBby5lXr16lfPny5nZ7e3vKlSvHqVOnHl9nREREJFew2uDl7++PnZ2deebqnw4dOoSbmxvFixcHuGMfWGZm5l1f//1cR0fHu147IyOD9PT0f127iIiI5E5WG7zc3NyoXbs20dHR5tmr25KTk5k/fz6vvvoqdnZ2971OqVKlsoS35ORk4uPjAXBxccHd3Z0DBw6Y29PS0jhy5Aje3vp5FxEREWtjtcELoGfPnqSmptK9e3d2797N77//ztatW+ncuTMeHh507Njxgddo1qwZGzZsYMmSJZw6dYphw4Zx48YNc3urVq2Ijo7mxx9/NLdfu3aNunXrZmfXREREJAey6geouru7M2PGDGbOnMngwYO5fPkyHh4ehIaG8tZbbz3Uw1Off/55Pv74Y6ZOncqECRNo3LgxpUqVMreHhYWRkpLC8OHDSU5OpkKFCkybNo0nn3wyO7smIiIiOZBNUlJS5oNPE0vyGeRjdAmSy8S2iSXIN8joMv4Vk8mU5QsqYlkaf+No7I1l1Phb9VKjiIiIiCVZ9VJjThXbJtboEqxOamoqTk5ORpfxr3m6ehpdgoiIPAQFrxwoty4Z5WYmkwk/X035i4hI9tJSo4iIiIiFKHiJiIiIWIiWGnOgbXHbjC7B6rg4uBhdgoiIWAEFrxwobHaY0SVYnZjmMUaXICIiVkBLjSIiIiIWkmeCV2BgIDt27MhybM+ePQQHBzNmzJiHusaxY8fYs2fPA8/btWsXgYGBd/zGo4iIiMj95Jng9U8mk4mIiAhCQkKIiIh4qM/06dOH06dPP/C8gIAAVq1ahb29VmpFRETk4eXJ4BUfH094eDiBgYEMGDAAGxubx3p9BwcH3N3dH+s1RUREJO/Lc8Hr8uXL9OjRg9KlSzN06FDs7OzMbYmJifTt25fatWvz8ssv07p1a3bv3g1Aly5dSEhIYNiwYQwePBiAadOm0aBBA6pWrUq7du3Yt28fkHWp8dy5cwQGBrJhwwaaNGlCzZo1iYiIICkpyXzf5cuX07x5c6pUqUJISAgjRozQMqWIiIgVylPBKyUlhfDwcM6fP8/QoUNxcHDI0v7JJ5+QlpZGdHQ0c+bMwcPDg5EjRwIwcuRIihYtSnh4OBEREWzcuJFFixYxZMgQFixYwDPPPEO/fv3IyMi4671nzZrFkCFDGDt2LAcPHmTOnDkA7N27l1GjRtG1a1e+/vpr+vbty4oVK9i4cWP2DoaIiIjkOHlqk9KoUaNwd3fHwcGB2bNn06NHjyztwcHB1KxZEw8PDwCaNWtGeHg4mZmZuLq6Ymdnh7OzMy4uLiQkJGBvb89TTz1F8eLFeffdd6lRo8Y9g1fHjh0pX748AKGhoRw6dAgAR0dHBgwYQM2aNQEoVqwY8+bNIy4uLruGQURERHKoPBW8ChUqxKRJk1i3bh1jxoyhZs2aVKhQwdzetGlT1qxZw759+zh9+jRHjhwBID09/Y6N8vXq1WPFihU0adIEf39/goODee211+65ob548eLm187OzualxHLlyuHo6EhUVBQnT57k+PHjnD17lpdeeulxd19ERERyuDy11NizZ0/c3Nxo2rQpFSpUYMiQIVy/fh2AjIwM3nvvPebOnYuHhwetW7fmk08+uee1ChcuzJdffsn48eN59tln+eabb3j77be5ePHiXc//57Lmbdu2bePtt98mMTGRypUrM2LECAICAv57Z0VERCTXyVPB6/ZGehsbG/r3709CQgLTpk0DIC4ujj179jBp0iTatWtH1apVuXTp0j2v9dNPP/HNN98QFBTE+++/z6JFi/jrr7/Yu3fvI9W0bNkyGjRoQP/+/WncuDE+Pj7Ex8eTmZn5r/spIiIiuVOeWmr8O19fX9q2bUt0dDQ1atTAw8MDW1tb1q5dS40aNTh06BBRUVEA3LhxA3t7ewoUKMDp06e5cuUKmZmZTJw4kcKFC1OuXDl27tzJ9evXKVOmDImJiQ9dh6urK/v378dkMmFra8vs2bNJTEzk5s2b2dV1ERERyaHy1IzXP7Vt2xYfHx+GDh2Kq6srH374IfPmzaNFixbMmjWLiIgI7O3tOXr0KABvvPEG33zzDcOGDSM4OJguXbowceJE3njjDebPn8+nn36Kt7f3I9XQsWNHnnzySdq3b897772Hg4MDb7zxhvmeIiIiYj1skpKStOaVw/gM8jG6BKsT0zyGWv61jC7DKplMJvz8/Iwuw2pp/I2jsTeWUeOfp2e8RERERHKSPLvHKzeLbRNrdAlWx8XGxegSRETECih45UBBvkFGl2B1TCaT0SWIiIgV0FKjiIiIiIUoeImIiIhYiJYac6BtcduMLsHqpN5MJTHu4Z/PltN4unriXfjRHnUiIiKWp+CVA4XNDjO6BMllYtvEKniJiOQCWmoUERERsRAFLxERERELyfNLjY0aNSIhIeGubaNGjaJGjRqWLUhERESsVp4PXgDh4eGEhobecbxQoUIGVCMiIiLWyiqCl7OzM+7u7kaXISIiIlbO6vd4NWrUiIULF9K+fXuCg4Np27Ythw4dAuDcuXMEBgZy9uxZ8/lRUVF07NjR/H779u2EhYURHBxMeHg4o0ePZvDgwXc99/b9li5dmv0dExERkRzH6oMXQHR0NG+99RYxMTHky5eP0aNHP9Tn4uPjef/996lduzZz587F39+fxYsXZ3O1IiIikltZxVLjmDFjiIyMzHKsYMGCrFixAoD69eubN9m3bt2aDz744KGuu2zZMsqWLUuHDh0A6Ny5Mzt27Hh8hYuIiEieYhXBq0OHDtSuXTvLMVvb/5vsK1GihPm1s7MzGRkZpKenP/C6JpMJf3//LMfKly/P1atX/2PFIiIikhdZRfByc3PDy8vrnu329ncOQ2ZmJjY2Nncc/3sgs7OzIzMz847P3fagz4uIiIh10R6v+3BwcAAgJSXFfCw+Pt78+umnn+bIkSNZPvP39w4ODlk+m5qayuXLl7OrXBEREcnhrCJ4paSkkJiYeMefv4eiuylcuDAeHh7MmjWL+Ph4Vq1axZYtW8ztr7/+OocPH2bmzJmcPn2aWbNmsXfvXvNMl7+/P8ePH+e7777jzJkzDB8+HDs7u2ztq4iIiORcVrHUOGHCBCZMmHDH8VatWt33c7a2tgwcOJAxY8bQokULXnjhBdq3b88PP/wAQLFixRgxYgTjx48nOjqawMBAqlevbp4pe+mll2jdujVjxozB1taWli1bEhAQ8Pg7KCIiIrmCTVJSUuaDT5O7OXHiBGlpaZQtW9Z8rFevXpQrV45OnTr96+v6DPJ5DNWJNYltE0uQb5DRZfwrJpMJPz8/o8uwWhp/42jsjWXU+FvFUmN2+e2333j33Xf5+eefSUhIYOnSpezcuZOaNWsaXZqIiIjkQFax1JhdqlevzokTJ/j000/5448/KFmyJJ999tl/TtCxbWIfU4XysFJTU3FycjK6jH/N09XT6BJEROQhKHj9R+3ataNdu3aP9Zq5dckoNzOZTPj5aspfRESyl5YaRURERCxEwUtERETEQrTUmANti9tmdAlWJ/VmKolxiUaXYZVcHFyMLkFExGIUvHKgsNlhRpcgYjExzWOMLkFExGK01CgiIiJiIQpeIiIiIhZiFcErMDCQHTt2ZDm2Z88egoODGTNmjEFViYiIiLWxiuD1TyaTiYiICEJCQoiIiDC6HBEREbESVhe84uPjCQ8PJzAwkAEDBmBjY2N0SSIiImIlrCp4Xb58mR49elC6dGmGDh2KnZ0dAGPHjqVPnz7m82JjY/nf//7HlStXAEhKSqJy5cpcuHCBlJQUPv30U0JDQ6lSpQrNmjVjw4YN5s8GBgYydepU6taty7vvvgvA8uXLad68OVWqVCEkJIQRI0aQlpZmwZ6LiIhITmA1wSslJYXw8HDOnz/P0KFDcXBwMLdVrlyZPXv2kJGRAcDu3bsB2LdvHwA7d+7k6aefpmjRokRGRnLq1CkmTZrEV199RaVKlRg2bBg3btwwX+/HH39k+vTp9O7dm7179zJq1Ci6du3K119/Td++fVmxYgUbN260YO9FREQkJ7Ca4DVq1CgAHBwcmD17dpa2F154gWvXrnH8+HEyMzPZu3cvVapUMQevn3/+mcqVKwNQsWJF+vbtS5kyZShZsiStW7fm6tWrXLx40Xy9xo0b4+3tTalSpXB0dGTAgAHUrFmTYsWKUbt2bcqUKUNcXJyFei4iIiI5hdU8QLVQoUJMmjSJdevWMWbMGGrWrEmFChUAyJ8/P8899xy7du3C1tYWZ2dnatWqxbfffgvAjh07+PjjjwGoX78+P/zwA0uXLuX06dMcPnwYwDxbBlCsWDHz63LlyuHo6EhUVBQnT57k+PHjnD17lpdeeslSXRcREZEcwmpmvHr27ImbmxtNmzalQoUKDBkyhOvXr5vbK1euzK5du9i9ezcVK1akYsWKHDlyhOPHj3P16lWee+45AAYNGsT48eMpWLAgTZo0ITIy8o57OTo6ml9v27aNt99+m8TERCpXrsyIESMICAjI/g6LiIhIjmM1wev2RnobGxv69+9PQkIC06ZNM7ff3ud1O3h5eXlRsGBBZs2axYsvvoiDgwPJycmsXr2aoUOH0rlzZ2rWrMnVq1cByMzMvOt9ly1bRoMGDejfvz+NGzfGx8eH+Pj4e54vIiIieZfVBK+/8/X1pW3btsyfP9+8j8vPzw9HR0c2b95MpUqVgFv7udauXUtQUBBwa0nSycmJTZs2ce7cObZv387o0aMBuHnz5l3v5erqyv79+zGZTJw4cYIhQ4aQmJh4z/NFREQk77LK4AXQtm1bfHx8GDp0KNeuXQPgf//7HwULFsTb2xuASpUqkZmZaQ5e9vb2DB48mE2bNtGiRQsiIyN55513KFq0KEePHr3rfTp27MiTTz5J+/btee+993BwcOCNN9645/kiIiKSd9kkJSVpzSuH8RnkY3QJIhYT0zyGWv61jC7DaplMJvz8/Iwuwypp7I1l1Phbzbcac5PYNrFGl2B1UlNTcXJyMroMq+Ri42J0CSIiFqPglQMF+QYZXYLVMZlM+Pnqf3kawWQyGV2CiIjFWO0eLxERERFLU/ASERERsRAFLxEREREL0R6vHGhb3DajS7A6qTdTSYxLNLoMq6SxN5bG3zi5few9XT3xLuxtdBm5joJXDhQ2O8zoEkRERO4rtk2sgte/oKVGEREREQvJc8Hr2rVrREdH06JFC4KDg6lTpw69evXiwIED2XK/wMBAduzYkS3XFhERkbwlTy01Xrt2jU6dOnH16lXCw8MpW7YsycnJrFixgi5dujBt2jSeffZZo8sUERERK5WngldMTAwXLlxgwYIFuLq6mo/37t2bK1euMHPmTMaMGWNghSIiImLN8kzwysjI4NtvvyUsLCxL6LqtZ8+eODg4ABAXF0dkZCT79+/HycmJxo0b06FDB2xtbYmKiuLMmTO4ubmxfPly3NzcGDBgAHFxccycOZPMzEw6dOjAG2+8Yb723r17GTlyJBcuXKBGjRr069ePAgUKAHDixAnGjBnDgQMHKFKkCE2bNuXNN9/ExsbGMgMjIiIiOUae2eMVHx/P5cuXef755+/a/sQTT+Di4kJSUhKdOnWiSJEixMTE8OGHH7J48WLmzZtnPnfjxo0UKFCAefPmUa5cOfr168fOnTuZMmUKr7/+OpGRkSQlJZnP//rrr4mIiCAqKooTJ04wYsQI4NbSZ3h4OBUqVGDevHm8//77xMbGsnDhwmwdCxEREcmZ8kzw+uOPPwCyzHYdOnSI6tWrZ/mzevVqHB0d6devH76+vlSvXp3OnTszZ84c8+cKFixI165dKVGiBA0aNODPP/+kV69e+Pr68uabb5KWlsa5c+fM57dr144qVapQrlw53n//fdauXcuff/7J6tWrKVSoEN26daNkyZJUqVKFLl268NVXX1luYERERCTHyDNLjYUKFQIgOTnZfKx06dLMnTsXgH379jF48GDi4uIoW7Ys9vb/1/WAgACSkpLMs1ienp7mpUBHR0cAihUrluX9jRs3zJ/39/c3vy5btizp6emcPXuWU6dOERcXR/Xq1c3tGRkZ3Lx5k5s3b5qXPkVERMQ65JngVaJECVxdXdm3b585COXLlw8vLy8AEhISzMf+KSMjA4D09HQA7Ozs7jjH1vbek4N/b8vMzATA3t6e9PR0nn/+efr27XvHZ+52DxEREcnb8sxSo729Pa+++iqxsbFZZr1uu3DhAgC+vr4cPXqUtLQ0c9v+/fspVKgQTzzxxL+69/Hjx82vDx48iIODAyVKlKBkyZKcOXOGYsWK4eXlhZeXF8eOHePLL7+8b5ATERGRvClP/evfqVMnihYtSrt27VizZg3x8fEcPXqU8ePHM2zYMJ577jlCQ0NJT09n+PDhxMXF8eOPPxIVFUXTpk3/dRiaNm0aO3bs4MCBA4wdO5bGjRtToEABXnnlFW7evMlnn31GXFwcP//8M6NHjzYvi4qIiIh1yTNLjQD58+dnypQpLFiwgC+//JKzZ89ia2vLM888w8CBA6lXrx62trZMmDCBsWPH8tZbb+Hm5kaLFi145513/vV9W7duzWeffUZSUhJ16tShe/fuADg7OzNhwgQiIyN5++23KViwIA0aNKBr166Pq8siIiKSi9gkJSVlGl2EZOUzyMfoEkRERO4rtk0sQb5BRpfxr5lMJvz8/Cx+3zy11CgiIiKSk+Wppca8IrZNrNElWJ3U1FScnJyMLsMqaeyNpfE3Tm4fe09XT6NLyJUUvHKg3Dx1m1uZTCb8fC0/5Swae6Np/I2jsbdOWmoUERERsRAFLxEREREL0VJjDrQtbpvRJTwyT1dPvAt7G12GiIhIjqbglQOFzQ4zuoRHFtsmVsFLRETkAbTUKCIiImIhCl4iIiIiFpJnlxobNWpEQkLCXdtGjRpFZGQk77zzDo0bN7ZoXYMHDyY9PZ0hQ4ZY9L4iIiJivDwbvADCw8MJDQ2943ihQoWIjIw0oCKIiIgw5L4iIiJivDwdvJydnXF3dze6jCxcXFyMLkFEREQMYtV7vOLi4njrrbcIDg6mR48eXLp0ydx2/vx5+vXrR506dQgJCWH06NFcv34dgBUrVtCxY0eio6OpW7cur7zyCuPGjSMjI4OLFy9SuXJlDh48aL5WcnIyVatW5ciRIwwePJiPP/7Y4n0VERER41l18Prmm29o3bo1s2bNIi0tjb59+wJw8+ZNunXrRmpqKlOmTGH48OFs3bqVCRMmmD978OBB4uLiiIqKomvXrixcuJDt27dTpEgRKlWqxLp168zn/vDDDzz11FM888wzFu+jiIiI5Bx5OniNGTOG6tWrZ/nTsGFDc3uTJk0IDQ2lVKlSDBw4kF9//ZUTJ06wbds2Lly4wODBg/Hz8+PFF1/kgw8+4JtvviE5ORmA9PR0+vXrh4+PD6+99hp+fn4cOnQIgNDQUDZs2GC+z7p166hbt65lOy8iIiI5Tp7e49WhQwdq166d5Zit7f9lTX9/f/NrT09PChUqRFxcHPHx8Xh5eeHq6mpur1ChAunp6Zw5cwYANze3LPu1nJ2dSUtLA6B27dqMHj2aAwcOULJkSX7++WfCw8OzpY8iIiKSe+Tp4OXm5oaXl9c9221sbLK8z8zMxMHBAUdHxzvOzcjIyPJ/HRwc7jgnMzMTgIIFCxIUFMSGDRvw9fWlVKlS+Pj4/NtuiIiISB6Rp5caH+TEiRPm12fOnOHPP//Ex8cHHx8fzp49y5UrV8zt+/fvx87OjhIlSjzUtUNDQ9m8eTNbtmzRMqOIiIgAeXzGKyUlhcTExDuOOzk5AbBgwQLKlCmDl5cXo0aNomrVqnh7e+Pl5UXJkiUZNGgQ3bp14+rVq4wdO5aQkBDc3Nwe6t7BwcF89tln/P777/Ts2fMx9kpERERyqzwdvCZMmJDlm4i3tWrVCoDWrVsTFRVFfHw8lStXZsCAAcCtfWCjR49m9OjRtGvXjgIFChAaGsq777770PfOnz8/wcHB/P777zz11FOPp0MiIiKSq9kkJSVlGl1EXtW1a1dq165Ns2bNHulzPoN8sqegbBTbJpYg3yCjy/jXTCYTfn5+RpdhlTT2xtL4G0djbyyjxj9Pz3gZZdeuXRw4cIAjR44watQoo8sRERGRHELBKxt8//33bNiwgQ8//JCCBQs+8udj28RmQ1XZy9PV0+gSREREcjwFr2wwYMAA836xfyM3L9mJiIjIvf2nx0mkpaVleeSCiIiIiNzbQwev9PR0Zs2axffffw/A3r17eeWVVwgNDaV79+7mn9IRERERkbt76KXGGTNmEBMTY/7pm7Fjx1KwYEHatm3LvHnzmDJlCn369Mm2Qq3JtrhtRpdgdVJvppIYd+cz33ILT1dPvAt7G12GiIg8wEMHr9WrV9OhQwfCwsKIj4/n2LFjfPzxxzRo0AAXFxemT5+u4PWYhM0OM7oEyWVi28QqeImI5AIPvdR4/vx5KlasCMD27duxtbXl5ZdfBm79wLT2eomIiIjc30MHr8KFC3Px4kUAtmzZQunSpc0/n3Ps2DHc3d2zpUAjrV69msDAQObNm5fleJcuXZgyZco9PxcYGMiOHTuyuzwRERHJZR46eFWvXp3JkyczfPhwtmzZwiuvvALA3LlziY6OpmbNmtlWpFHWrFmDl5cXK1eufKTPrVq1ikqVKmVTVSIiIpJbPXTw6t69O0FBQezdu5fmzZvTokULAJYuXcrLL79Mp06dsq1II1y9epXt27fTsWNHjh8/ztGjRx/6s+7u7jg4OGRjdSIiIpIbPfTm+nz58tG/f/87js+bNw9HR8fHWlROsGHDBvLly0edOnWIjo5mxYoVlC1b1tyemJhI165d2b9/P2XKlGHQoEGULFkSuLXU+PnnnxMYGEhiYiJjxoxh586dXLt2DV9fX3r37s3zzz9vVNdERETEII/8ANUDBw4wY8YMhg8fzu+//87u3btJSkrKhtKMtXr1aoKCgrC3t6datWqsXr2atLQ0c/vKlSupWbMmc+fOpXjx4nTv3j1L+22ffPIJaWlpREdHM2fOHDw8PBg5cqQluyIiIiI5xEMHr7S0NAYMGED79u2Jjo5m2bJlJCUlMXv2bFq3bk18fHx21mlRFy9eZM+ePVSvXh2AmjVrkpSUxJYtW8znVK9enebNm+Pj40Pfvn25cuUK27bd+fyt4OBg+vTpg6+vL08//TTNmjUjLi6OzMxMi/VHREREcoaHDl5RUVFs3ryZoUOHsm7dOnNw6NevH/ny5WPq1KnZVqSlrVmzJsvjMsqXL0+RIkWybLL39/c3v3Z2dqZkyZKcOnXqjms1bdqUX375heHDh9OlSxf69esH3PolABEREbEuD73Ha9WqVXTq1Im6detmCQ3e3t60b9+ezz//PFsKNMKaNWtIS0sjJCTEfCwjI4OffvrJvKxqY2OT5TMZGRl3bKjPyMjgvffe4+rVq4SEhBAcHMzNmzf58MMPs70PIiIikvM8dPBKSkqiVKlSd2178skn88xvNZ45c4bDhw/Tq1cvAgMDzcd///13evXqxerVqwE4ceKEue3PP//kzJkz+Pj4ZLlWXFwce/bsYdWqVebnnC1evDj7OyEiIiI50kMHr5IlS/Ljjz8SFBR0R9vOnTvx8vJ6rIUZZc2aNRQsWJAmTZpk+bZmqVKlCAgIYOXKlRQoUIC1a9dSsWJFnnvuOaZOnUqJEiWyBDUAFxcXbG1tWbt2LTVq1ODQoUNERUUBcOPGDeztH3r4RUREJA946D1eYWFhLFmyhM8++4ytW7diY2PDqVOnmD17NgsWLKB58+bZWafFrFmzhtDQ0Ls+IqNp06YcOXKEEydO0LJlS5YvX87bb7/Nn3/+yejRo7G1zTqcHh4efPjhh8ybN48WLVowa9YsIiIisLe3f6TngomIiEjeYJOUlPTQX6+bM2cO0dHRXL9+3by5Pl++fLz11lt57gGqRvIZ5GN0CZLLxLaJJcj3ztno3MBkMuHn52d0GVZL428cjb2xjBr/R1rreuutt2jSpAn79+8nKSmJggULUr58eVxdXbOrPhEREZE846GD19ChQ3nnnXcoUaIElStXztJ28uRJJk2aRGRk5GMv0BrFtok1ugSrk5qaipOTk9Fl/Guerp5GlyAiIg/hvsFr165dZGRkALee1F6mTBmefvrpO87bunUrv/zyS/ZUaIVy65JRbmYymfDz1ZS/iIhkr/sGr5UrV7Jy5UrzM6siIyOzPHHdxsbG/L5+/frZWKaIiIhI7nff4NW7d28aNmxIZmYm3bp1IyIigtKlS2c5x9bWloIFC951JkxERERE/s99g5eLiwvPP/88AB999BFVq1bFzc3NEnWJiIiI5DkPvbm+YcOGwK0fkL5x44b5eEZGBqmpqezduzfPPMtLREREJDs8dPA6duwYAwYM4OzZs3dtt7GxUfASERERuY+HDl6TJk0iOTmZ7t27s2XLFvLly0fVqlXZsmUL27dvZ8qUKdlZp4iIiEiu99A/GXTgwAE6d+5Mq1atCA0N5dq1azRr1ozIyEiqVq3KV199lZ11ZpvLly8zcuRIGjZsSHBwMM2aNWP69Olcu3bN6NJEREQkj3no4HXz5k1KlCgBgLe3NyaTydzWsGFDDhw48Piry2YXLlzgnXfe4dSpUwwePJgFCxbQo0cPNmzYQJcuXRS+RERE5LF66ODl4eHBb7/9BkDJkiVJTk4mISEBuPV7jVevXs2eCrPR6NGjKVq0KJMmTeKFF17A09OTatWqERUVxcWLF5kxY4bRJYqIiEge8tDBq1atWkyePJnVq1dTuHBhSpUqxZQpUzh69Cjz5883z4blFpcvX2bz5s20adMGe/usW90KFixIy5Yt+fbbb0lPT2fatGk0aNCAqlWr0q5dO/bt2wfcerJ/YGAgaWlp5s8OHjyYjz/+GICoqCgGDBjA6NGjqVmzJq+99hqzZs2yWB9FREQkZ3no4NWhQwdeeOEFVqxYAUDPnj3ZuHEjbdq0YdeuXXTs2DHbiswOR44cISMjg2efffau7RUrVuSPP/5g/vz5LFq0iCFDhrBgwQKeeeYZ+vXrZ/4ppQfZuHEjdnZ2zJo1i9dff53Jkydz8uTJx9kVERERySUe+luNjo6ODB8+3Dy7ExgYyFdffcXhw4d55plnct2M1+2l0YIFC961vVChQgCkp6djb2/PU089RfHixXn33XepUaPGQwevggULEh4ejp2dHe+88w7z5s3j8OHDetK/iIiIFXroGa+hQ4fy22+/ZVmWK168OHXq1OHGjRv06tUrWwrMLreD1aVLl+7afvHiRQBeeuklChcuTJMmTXjnnXdYsGABTz/99B3Lk/dSrFgx7OzszO+dnZ2zLE2KiIiI9bhveti1a5d5ZmflypWUKVPmrjM1W7du5ZdffsmeCrOJv78/dnZ2HD58GA8PjzvaDx06hJubG2XLluXLL79k586dbNmyhW+++YbFixcze/Zs84+H/116enqW9w4ODnec8/cfGhcRERHrcd/gtXLlSlauXGkOGOPGjbvnufXr13+8lWUzNzc3ateuTXR0NFWrVs0yg5WcnMz8+fN59dVX2b59OwkJCbzxxhsEBQXx3nvvUa9ePfbu3WsObCkpKbi6ugIQHx9P8eLFDemTiIiI5Gz3DV69e/emYcOGZGZm0q1bNyIiIihdunSWc2xtbSlYsGCu3LPUs2dPOnfuTPfu3enYsSOenp6cPHmSL774Ag8PDzp27MjOnTuZOHEihQsXply5cuzcuZPr169TpkwZnnzySRwdHZk+fTphYWFs2rSJY8eOKXiJiIjIXd03eLm4uPD8888D8NFHH/H000/j5OSEr68vycnJTJ06lYSEBEJCQihVqpRFCn6c3N3dmTFjBjNnzmTw4MFcvnwZDw8PQkNDeeutt8ifPz/BwcF06dKFiRMnkpiYSIkSJfj000/x9vYGYMCAAUyePJlly5ZRo0YNWrRowYULFwzumYiIiORENklJSQ+14WjHjh307t2bN954g/DwcD7++GPWrl2Lj48PcXFxfPTRRzRo0CC76xXJFiaTCT8/P6PLsEoae2Np/I2jsTeWUeP/0N9qjI6O5rnnnqNNmzb89ddfbNy4kbfeeovY2FhatmxJbGxsdtYpIiIikus9dPA6evQorVq1ws3NjV27dnHz5k1CQkIAqFKlCqdPn862IkVERETygocOXg4ODuZvN27fvp0nnnjCPEV39epVnJ2ds6dCERERkTzioZ9cX65cOb755htcXFxYs2YNtWrVAm49gHTOnDmUK1cu24oUERERyQseesare/fu/Prrr3To0AEHBwfatGkDwJtvvklCQgJdu3bNtiJFRERE8oKH/lYj3HpQ6KlTpyhVqhT58+cHYMOGDQQEBODu7p5tRVqbbXHbjC7B6qSmpuLk5GR0GVZJY28sjb9xXGxcqOBTwegyrJZR32p86KVGuPU7g88++2yWY7eXHOXxCZsdZnQJIiKSzWKaxxhdghjgoZcaRUREROS/eaQZr9wiMDAwy3tXV1eqVatG7969s/3bl7t27aJr165s3bo1y+8/3hYVFcXOnTuZPn16ttYhIiIiOU+eDF4Aw4YNo2LFimRkZHD+/HmGDx/O+PHjGTBggKF1tW7dmhYtWhhag4iIiBgjzy41FipUCHd3d4oWLUqFChVo2bIl69atM7osChQogKurq9FliIiIiAHybPD6pyeeeCLL+5SUFD799FNCQ0OpUqUKzZo1Y8OGDeb2wMBAduzYYX6/YsUKGjZsaH5/9OhROnfuTHBwMI0bN+bbb7/Ncv2lS5fSsGFDqlWrxieffML169eBW0uNHTt2zI4uioiISA5nFcErKSmJBQsWUK9ePfOxyMhITp06xaRJk/jqq6+oVKkSw4YN48aNGw91vXfffRcfHx/mzp1L165dGTlyJHv37jWfs379esaPH8+YMWPYtGkTy5Yty46uiYiISC6SZ/d4RUREYGtrS2ZmJteuXaNQoUJERESY2ytWrEjLli0pXbo0cGvv1bJly7h48SLFixe/77XXrl1LgQIF+OCDD7Czs8Pb25srV66QkZFhPqdPnz48/fTTwK3ZM5PJlA29FBERkdwkzwavvn37EhAQAMCff/7J999/T/v27Zk5cybe3t7Ur1+fH374gaVLl3L69GkOHz4MkCU83UtcXBxlypTBzs7OfKx58+bArW81ApQoUcLc5uLi8lAzaSIiIpK35dmlxiJFiuDl5YWXlxf+/v707t2bwoULm5f8Bg0axPjx4ylYsCBNmjQhMjLyvtdLS0szv77bYyL+ydY269BmZj70DwSIiIhIHpVnZ7zuJjMzk7S0NJKTk1m9ejXTp083z4pt2bLFfA6Ag4MDKSkp5s+eO3fO/LpkyZL88MMPZGRkmAPW0KFDKVq0KC+++KKluiMiIiK5TJ6d8bp69SqJiYkkJiYSHx/P1KlT+e2336hTpw758+fHycmJTZs2ce7cObZv387o0aMBuHnzJgD+/v7Mnz+fM2fOsHnzZlasWGG+dr169fjrr7+IjIzk9OnTrF69mtWrVxMUFGRIX0VERCR3yLPBq3///tSvX5/69evTsmVLduzYwYgRIwgICMDe3p7BgwezadMmWrRoQWRkJO+88w5Fixbl6NGjALz//vtcv36dsLAwZs2aRefOnc3XdnFxITIykoMHD9KqVSuioqIYOHCgefZMRERE5G5skpKStPkoh/EZ5GN0CSIiks1imsdQy7+W0WVYLZPJhJ+fn8Xvm2dnvERERERyGqvaXJ9bxLaJNboEq5OamoqTk5PRZVgljb2xNP7GcbFxMboEMYCCVw4U5KtN+pZmMpnw87X8lLNo7I2m8TeOHqxtnbTUKCIiImIhCl4iIiIiFqLgJSIiImIhepxEDrQtbpvRJVgdbTA2jsbeWBp/42jsjeVi40IFnwoWv6821+dAYbPDjC5BREQkT4tpHmPIfbXUKCIiImIhVjXjFRgYmOW9q6sr1apVo3fv3jg7OxtUlYiIiFgLq5vxGjZsGKtWrWLFihWMGzeOw4cPM378eKPLEhEREStgdcGrUKFCuLu7U7RoUSpUqEDLli1Zt26d0WWJiIiIFbCqpca7eeKJJ7K8z8jIYN68eSxZsoTExET8/f2JiIigTJkywK3lynbt2rFkyRL8/Px45ZVXWLZsGf/73/9YuHAhdnZ2hISE0LNnT2xtb+XaFStWMGfOHM6dO4evry/h4eG88MILFu+riIiIGMvqZrz+LikpiQULFlCvXj3zsejoaObNm0evXr348ssv8fT0JDw8nJSUFPM5P/74I9OnT6d3794AHDx4kLi4OKKioujatSsLFy5k+/btwK3QNWrUKN5++23mzp3L//73P3r27Mnvv/9u2c6KiIiI4awueEVERFC9enWqVatG3bp1OXLkCM2bNwcgMzOThQsX0qFDB6pVq4avry8DBgzA3t6eVatWma/RuHFjvL29KVWqFADp6en069cPHx8fXnvtNfz8/Dh06BAACxYs4I033qBBgwZ4e3vz7rvv4ufnx8KFCy3feRERETGU1S019u3bl4CAAAD+/PNPvv/+e9q3b8/MmTNxcXHh6tWrlC9f3ny+vb095cqV49SpU+ZjxYoVy3JNNzc3XFz+71fmnZ2dSUtLA+DUqVO0a9cuy/kVKlQgLi7ucXdNREREcjirC15FihTBy8vL/N7f35+tW7eybNmyOwLSbRkZGaSnp5vfOzo6Zml3cHC44zOZmZl3Pff29TIyMv5V/SIiIpJ7Wd1S491kZmaSlpaGi4sL7u7uHDhwwNyWlpbGkSNH8Pb2/lfX9vb2znI9gAMHDvzr64mIiEjuZXUzXlevXiUxMRGA69evs3z5cn777Tfq1KkDQKtWrYiOjqZo0aKULFmSL7/8kmvXrlG3bt1/db9WrVoxePBgnn76acqXL8+KFSs4duwYAwcOfGx9EhERkdzB6oJX//79za8dHR3x8/NjxIgR5n1fYWFhpKSkMHz4cJKTk6lQoQLTpk3jySef/Ff3q1WrFomJiURFRXHp0iXKlCnDpEmTzBvzRURExHrYJCUlZRpdhGTlM8jH6BJERETytJjmMdTyr2Xx+2qPl4iIiIiFWN1SY24Q2ybW6BKsTmpqKk5OTkaXYZU09sbS+BtHY28sFxuXB5+UDRS8cqAg3yCjS7A6JpMJP18/o8uwShp7Y2n8jaOxN5bJZDLkvlpqFBEREbEQBS8RERERC9FSYw60LW6b0SVYndSbqSTGJRpdhlVycTBmn4WIiBEUvHKgsNlhRpcgYjExzWOMLkFExGK01CgiIiJiIQpeIiIiIhai4PUQunTpwpQpU4wuQ0RERHI5BS8RERERC1HwEhEREbEQfavxEaxYsYJly5ZRpUoV5s6di4ODAz179sTOzo6JEyfy119/0bRpU7p16wbA9evXmT59Ot9//z1Xr17lxRdfpE+fPhQrVszgnoiIiIgRNOP1iA4dOsSZM2eYNWsWderUYfjw4SxatIjIyEi6devGrFmzOH78OAAjRoxg48aNDBo0iJiYGNLT04mIiCA9Pd3gXoiIiIgRFLweUUZGBu+//z5eXl40btyY1NRUOnXqROnSpWnatCkuLi6cOnWKq1ev8t133xEREcGLL75I6dKlGTJkCL/99hvbtukBqSIiItZIwesRubq64uzsDICjoyNAlqXDfPnycfPmTc6cOUNGRgbPPvtsls96e3tz6tQpi9YsIiIiOYOC1yOyt79zW5yNjc0dx/Lly3fXz6enp2upUURExEopeGUTLy8v7OzsOHjwoPlYUlISZ8+exdvb28DKRERExCj6VmM2cXJyokmTJowdO5Z8+fLh5ubG559/TtGiRQkKCjK6PBERETGAglc26t69OwB9+/YlLS2Nl156icmTJ5v3homIiIh1sUlKSso0ugjJymeQj9EliFhMTPMYavnXMroMq2UymfDz8zO6DKuksTeWUeOvPV4iIiIiFqKlxhwotk2s0SVYndTUVJycnIwuwyq52LgYXYKIiMUoeOVAQb7afG9pJpMJP19N+RvBZDIZXYKIiMVoqVFERETEQhS8RERERCxES4050LY4/ZajpaXeTCUxLtHoMqySi4P2eImI9VDwyoHCZocZXYKIxcQ0jzG6BBERi9FSo4iIiIiF5PkZr8DAwCzvXV1dqVatGr1798bZ2dmgqkRERMQaWcWM17Bhw1i1ahUrVqxg3LhxHD58mPHjxxtdloiIiFgZqwhehQoVwt3dnaJFi1KhQgVatmzJunXrjC5LRERErIxVBK9/euKJJ7K8z8zMZMaMGTRo0ICaNWvSo0cPzpw5Y24PDAxk5cqVvPnmm1SvXp2uXbvy22+/AbBr1y4CAwNJS0sznz948GA+/vhj8/tNmzbRokULgoODeeutt9i2Td9aFBERsUZWF7ySkpJYsGAB9erVMx9buHAhq1atYtCgQcycORMvLy/effddrl27Zj4nOjqanj17MmXKFC5dusTkyZMf6n7Hjh1j0KBBtGnThtjYWBo3bswHH3zAsWPHHnvfREREJGfL85vrASIiIrC1tSUzM5Nr165RqFAhIiIizO1z5swhIiKCl156CYD333+fLVu2sGHDBurXrw9Ay5YtzRv1mzZtSmzsw/2e4rx583j11VfN1ylRogQHDx5kwYIFfPTRR4+zmyIiIpLDWUXw6tu3LwEBAQD8+eeffP/997Rv356ZM2dSpEgRLly4wMcff4yt7f9NAN64cSPLcmOJEiXMr52dnbMsLd5PXFwcJ06c4NtvvzUfS0tLw9/f/792S0RERHIZqwheRYoUwcvLy/ze39+frVu3smzZMt555x0APvvsM3x9fbN8rmDBgubXDg4Od722jY3NHcfS09OzvG7VqhWvvvpqlnPy5cv36B0RERGRXM3q9njdlpmZSVpaGgULFqRw4cIkJibi5eWFl5cXnp6eTJ48+aH2Ydnb38quKSkp5mPx8fHm197e3pw7d858bS8vL7777js2bdr02PskIiIiOZtVBK+rV6+SmJhIYmIi8fHxTJ06ld9++406deoAEBYWxrRp09i0aRNnz55l1KhR7Nix444ZsLt5+umncXR0ZPr06cTHxzNv3rwsgS0sLIz169czf/58zp49y9dff83MmTMpXrx4tvVXREREciarWGrs37+/+bWjoyN+fn6MGDHCvO+rdevWXLt2jdGjR3P16lXKli3LxIkTKVKkyAOv7eLiwoABA5g8eTLLli2jRo0atGjRggsXLgBQoUIFhgwZQnR0NF988QXFihXjo48+omrVqtnTWREREcmxbJKSkjKNLkKy8hnkY3QJIhYT0zyGWv61jC7DaplMJvz8/Iwuwypp7I1l1PhbxVKjiIiISE5gFUuNuU1sm4d7Rpg8PqmpqTg5ORldhlVysXExugQREYtR8MqBgnyDjC7B6phMJvx8NeVvBJPJZHQJIiIWo6VGEREREQtR8BIRERGxEC015kDb4rYZXYLVSb2ZSmJcotFlWCWNvbE0/sbJ7WPv6eqJd2Fvo8vIdRS8cqCw2WFGlyAiInJfsW1iFbz+BS01ioiIiFiIgpeIiIiIheTapcbAwMAs711dXalWrRq9e/fG2dk5W++9a9cuunbtytatW80/ki0iIiLyILl6xmvYsGGsWrWKFStWMG7cOA4fPsz48eONLktERETkrnJ18CpUqBDu7u4ULVqUChUq0LJlS9atW2d0WSIiIiJ3lauD1z898cQTWd6npKTw6aefEhoaSpUqVWjWrBkbNmwAYPbs2bRo0SLL+V9//TVvvvkmAMnJyQwaNIiaNWtSr149hg0bRkpKyl3vu3jxYho3bkzVqlV588032bx5s7lt3759dOzYkeDgYKpVq0aPHj24cOHC4+y2iIiI5BJ5JnglJSWxYMEC6tWrZz4WGRnJqVOnmDRpEl999RWVKlVi2LBh3Lhxg7p163Lq1ClOnDhhPn/dunXUrVsXgKFDh3LlyhWioqKIjIzk9OnTDBky5I77Hj16lHHjxtGrVy8WLVpEnTp16N+/P3/++ScpKSn07t2bwMBAvvrqKyZNmkR8fDwzZ87M/gERERGRHCdX7wyPiIjA1taWzMxMrl27RqFChYiIiDC3V6xYkZYtW1K6dGkAWrduzbJly7h48SLFixcnICCA9evXU6pUKS5dusTevXsZOHAgv/32G5s2bWLNmjW4uroCMGjQIBo1asT58+ez1HDu3DlsbGwoVqwYxYoVo23btvj7++Pg4EBycjJt27alVatW2NjYULx4cWrVqsW+ffssN0giIiKSY+Tq4NW3b18CAgIA+PPPP/n+++9p3749M2fOxNvbm/r16/PDDz+wdOlSTp8+zeHDhwHIyMgAIDQ0lIULF9KpUyfWr19PuXLlKF68OJs3byYzM5PXXnvtjnuePn0aOzs78/ugoCCee+45WrduTalSpQgODqZRo0bkz5+f/Pnz07BhQ+bPn8+xY8eIi4vDZDJRvnx5C4yOiIiI5DS5OngVKVIELy8v83t/f3+2bt3KsmXL6NGjB4MGDeLXX3+lfv36NGnSBHd3d9q3b28+v06dOowdO5YTJ06wfv16QkNDAUhPT8fJyYm5c+fecU93d3cOHTpkfp8/f36++OIL9u7dy08//cSGDRtYtGgRUVFRuLq60qZNG8qWLUvlypVp3LgxW7Zs4ddff83GUREREZGcKlcHr7vJzMwkLS2N5ORkVq9ezfTp082zYlu2bDGfA+Dm5kZgYCDfffcdBw4c4LPPPgPA29ub1NRUMjIy8Pa+9XMIZ8+eZfz48fTr1y/L/fbt28fOnTtp3749lSpV4t133+WNN95g69atODk54ezsnOURFwsXLjTfX0RERKxLrg5eV69eJTHx1g+MXr9+neXLl/Pbb79Rp04d8ufPj5OTE5s2bcLd3Z0zZ84wevRoAG7evGm+RmhoKMOHD6dixYq4u7sD4OvrS1BQEJ988gnvv/8++fLlY+TIkWRkZODu7s7p06fNn8+fPz/R0dE88cQTVK5cmWPHjnHhwgXKlSvHH3/8wcWLF/n5558pUaIE69atY+PGjZQpU8aCoyQiIiI5Ra4OXv379ze/dnR0xM/PjxEjRphnuAYPHsyECRNYtGgRnp6evPPOO0yfPp2jR49SqlQpAGrUqMGwYcPM32a8bfDgwYwdO5bu3btjY2NDYGAg77///h01lClThk8++YSYmBjGjRuHu7s74eHhBAYGkp6ezp49e8x1+vv706tXL6ZMmcK1a9fInz9/dg2NiIiI5EA2SUlJVr3ulZCQQPPmzVm1ahUFCxY0uhwAfAb5GF2CiIjIfcW2iSXIN8joMv41k8mEn5+fxe+bq2e8/ovU1FS2bt3K8uXLqVmzZo4JXSIiIpJ3WW3wsrGxYdiwYTz11FNZlixzgtg2sUaXYHVSU1NxcnIyugyrpLE3lsbfOLl97D1dPY0uIVey+qVGETBuylk09kbT+BtHY28so8Y/z/xkkIiIiEhOp+AlIiIiYiFWu8crJ9sWt83oEqyOi4OL0SWIiIgVUPDKgcJmhxldgtWJaR5jdAkiImIFtNQoIiIiYiEKXvfQqFEjAgMD7/pn06ZNNGrUiKVLl97zs7fb/vrrL1asWHHXNhEREbEuWmq8j/DwcEJDQ+84XqhQISIjI+/5uVmzZpmfzTJv3jx27NhBw4YN72gTERER66LgdR/Ozs7mH85+FE888YT5dWZm5j3bRERExLpoqfExOHz4MDVq1GDhwoXA/y0nrlixgujoaH799VcCAwOztImIiIj10YzXfxQfH0+vXr1o3bo1zZs3z9JWp04dTpw4wd69exk9erRBFYqIiEhOoeB1H2PGjLljL1fBggXNm+WTkpLo0aMHdevWpUOHDnd8Pn/+/Dg5OWFvb/+vlixFREQkb1Hwuo8OHTpQu3btLMdsbf9vdTY6OpqbN2/y1FNPWbo0ERERyYUUvO7Dzc0NLy+ve7YHBgZStWpVJk2aREhICEWKFLFgdSIiIpLbaHP9f1CtWjUaN25MyZIlmTBhwl3PsbGxsXBVIiIiklMpeN1HSkoKiYmJd/xJSUkxn2Nra0tERARr165lx44dd1yjQIECJCYmEh8fb8nSRUREJAfSUuN9TJgw4a4zWa1atcryPiAggHr16jFmzBjmzZuXpa1mzZosWbKEli1bsmzZsmytV0RERHI2m6SkpMwHnyaW5DPIx+gSrE5M8xhq+dcyugyrZDKZ8PPzM7oMq6XxN47G3lhGjb+WGkVEREQsREuNOVBsm1ijS7A6LjYuRpcgIiJWQMErBwryDTK6BKtjMpmMLkFERKyAlhpFRERELETBS0RERMRCtNSYA22L22Z0CVYn9WYqiXGJRpdhlTT2xtL4G8fFQXtLrZGCVw4UNjvM6BJERCSbxTSPMboEMYCWGkVEREQsRMFLRERExEIMC16rV68mMDDwjp/Y6dKlC1OmTLFoLYMHD+bjjz8GYNeuXQQGBpKWlmbRGkRERCTvMyx4rVmzBi8vL1auXGlUCSIiIiIWZUjwunr1Ktu3b6djx44cP36co0ePGlGGiIiIiEUZErw2bNhAvnz5qFOnDiVLlmTFihV3PS8hIYH69eszYcIE5s+fT+vWrc1tmzZtIjAw0Bza0tPTqV27Nr/++itpaWlMnDiRhg0bEhQUxGuvvcbixYsfqcbFixdTt25dQkJCiInJ+s2TzZs389ZbbxEcHEzz5s1Zt26dua1Lly7Mnj2b9957j+DgYN555x1+++03PvvsM6pXr07Tpk3Zu3fvI9UiIiIieYMhwWv16tUEBQVhb29PtWrVWL169R17qpKSkggPDycoKIjw8HAqV66MyWTiypUrAOzevRsbGxt+/fVXAA4fPgxA+fLlmT17Nj/++CPDhw9n8eLFNGzYkLFjx3Lx4sVHqnHSpEl89NFHzJs3j6VLlwKwc+dOPvzwQ+rXr8/cuXNp3LgxH330EQcPHjR/dubMmTRq1IjZs2dz9epV2rRpQ9GiRZk1axYlS5Zk3Lhx/2X4REREJJeyePC6ePEie/bsoXr16gDUrFmTpKQktmzZYj7n+vXrRERE8PTTT9O/f38Ann76aYoWLcqePXsA2LNnD1WqVGHfvn0A/PzzzwQGBmJnZ0epUqUYMGAAFSpUoHjx4rRt25b09HROnz790HUOGDCAsmXLUq1aNVq2bMmSJUsAWLRoETVq1CAsLAxvb2/efPNNatWqxZw5c8yfDQoKIiQkhKeffprg4GCcnZ3p2LEjvr6+vPbaa5w6deo/jaGIiIjkThYPXmvWrMHW1paXX34ZuDVDVaRIkSyb7BcvXsyBAwcoUqQIdnZ25uP/+9//2L17N8nJyZw+fZrmzZubZ7x27NhBlSpVAKhRowY3btxg/Pjx9OrVi0aNGgGQkZHxUDXmy5eP0qVLm98/88wz5tB26tQpnn322SznBwQEZAlTxYsXN792dHTkqaeeMr/Pnz8/N2/efKg6REREJG8xJHilpaUREhJCUFAQVapUITExkZ9++omkpCQASpUqxciRI1m8eDHHjh0zf7Zy5crs2rWLPXv2UK5cOSpVqsSlS5c4efIkBw4coHLlygBMmTKFjz76CDs7O1555ZU79mg9iI2NTZb3GRkZ2Nvfesh/vnz57jg/PT09S6j7e1gEsLXV49JERETEwj8ZdObMGQ4fPkyvXr0IDAw0H//999/p1asXq1evBm4FrBo1ahAcHMzIkSOJjo7GxsaGwMBAPvroI3744QcqVqxI/vz5eeaZZ4iJicHHx4ciRYoAsGTJEt5//31CQ0MBOHnyJACZmZkPVef169f57bffKFGiBAAHDx7Ex8cHAB8fnyz7uQD2799PyZIl//3AiIiIiFWw6FTMmjVrKFiwIE2aNKFUqVLmPy+//DIBAQF3PNMrPDycY8eOsXz5cgAKFSpEuXLl+O6776hYsSIAlSpVYu3atQQFBZk/5+rqyk8//UR8fDy//vorgwYNAuDGjRsPVaetrS2DBw/m6NGjrF+/noULF9KqVSsA3nzzTTZu3EhsbCxnzpwhNjaWTZs28cYbb/zH0REREZG8zuLBKzQ0FEdHxzvamjZtypEjRzhx4oT5WPHixWnVqhWff/65+duMlStXJiMjg4CAAOBW8MrMzMwSvD766CNOnDhBy5YtGTRoELVr16Z8+fJZli3vp2DBglSrVo1u3boxevRoOnbsSK1atQDw9/dn6NChfPPNN4SFhbF8+XKGDRvG//73v389LiIiImIdbJKSkh5u/U0sxmeQj9EliIhINotpHkMt/1pGl2G1TCYTfn5+Fr+vdn2LiIiIWIhFN9fLw4ltE2t0CVYnNTUVJycno8uwShp7Y2n8jeNi42J0CWIABa8cKMg36MEnyWNlMpnw87X8lLNo7I2m8TeOyWQyugQxgJYaRURERCxEwUtERETEQrTUmANti9tmdAlWJ/VmKolxiUaXYZU09sZycdA+IxFLUvDKgcJmhxldgohYiZjmj/aTaiLy32ipUURERMRCFLxERERELCTPB6+lS5fSqFEjzp07R2BgIGfPnjW6JBEREbFSVrPHy8PDg1WrVvHEE08YXYqIiIhYKasJXnZ2dri7uxtdhoiIiFixPL/UeNs/lxqTkpL44IMPqF69Oo0bN+brr78mMDDQfP6+ffvo2LEjwcHBVKtWjR49enDhwgWSkpKoXLkyx44dAyAzM5M6deowduxY82dHjx7NZ599BsDmzZt56623qFq1KjVr1qR///4kJydbsOciIiKSU1hN8PqngQMHcvnyZaZPn06fPn2Ijo42t6WkpNC7d28CAwP56quvmDRpEvHx8cycORM3NzeeeeYZdu3aBdz6yYc///yTX3/91fz5nTt3UqVKFeLj4+nbty9NmjRh4cKFDB8+nF9++YUlS5ZYvL8iIiJiPKsMXqdPn2bHjh189NFHlClThpdffpmOHTua21NTU2nbti0dOnSgePHiPPfcc9SqVYuTJ08CULlyZXPw2rNnD1WqVMFkMpGamsr58+c5e/YsL730Eunp6fTu3ZvXX38dT09PKleuTGBgoPk6IiIiYl2sZo/X3x0/fhxnZ2e8vb3NxypUqGB+7e7uTsOGDZk/fz7Hjh0jLi4Ok8lE+fLlgVvBa/HixWRkZLB7927q1KnDiRMn2L9/P+fPnycgIAAXFxdcXFzIly8fMTExnDx50vynbt26Fu+ziIiIGC/PzXhdunSJ06dPZzlmZ2d33/dwa6/WbRcuXCAsLIydO3dSrlw5evXqRatWrczt5cuXJyMjA5PJxJ49e6hYsSIVK1Zk3759/PzzzwQFBQFw7NgxWrRowcmTJ6lYsSIDBw4kJCTkcXZXREREcpE8N+M1d+5cTpw4wcSJEwFITk7Gzc0tyzm+vr6kpKRw5swZSpYsCcCRI0fM7Zs2bcLZ2Znx48ebjy1cuNAczuzt7XnxxRf5+uuvyZcvH8WLF6dixYqsX78ek8nE22+/DcB3331HQEAAn376qfk6Z8+excvr/7V353FVVfv/x1/ILCpqZIoiEGlOoFiRmICkhhVJOaVpTomZEyE53xQ1rVTUxJsTeRNRKr11/YWWaOltsrjimGigTM6KXhwhxt8ffj030kxMzwHO+/l48JCz19p7f/YH9Hxca529Xe7FpYuIiEgFV+VGvLy9vdm9ezc//fQTBw4c4NNPPy3zaUUAV1dX2rVrx6xZs0hNTSUpKYnly5cb2h0dHTl79iw//fQTx48fZ9WqVWzbto2CggJDn3bt2rFx40batGljOO/OnTuxtLSkSZMmhuOkp6fz888/k52dzcKFC0lJSaGwsPDeJ0JEREQqnCo34uXv70+/fv2IjIwkPz+fwMBABg0axPnz58v0mzp1KrNmzeKVV14xrOlavXo1AJ07d2b37t1MnjwZgBYtWhAeHs6SJUvIz8/Hzs6Odu3aUVhYaCi83N3dqV27Nu3atcPCwgKAF198kV9++YXRo0djbW2Nt7c3Q4cO5csvvzReQkRERKTCsMjNzS39825VS35+PklJSbRv3x4rq2u159atW4mOjmbDhg0mjg7cIt1MHYKImImVvVfyZIsnTR2GWUpLSzPMkIjxmSr/VW7E63bY2Ngwc+ZMunfvTrdu3Th37hwxMTF06tTJ1KEBED8w3tQhmJ28vDzs7e1NHYZZUu5Nq4ZFDVOHIGJWzLLwqlatGnPnzmXRokWsXbsWBwcHnn76aYYPH27q0ADwdfc1dQhmJy0tjSbu+p+nKSj3ppWWlmbqEETMilkWXgBt2rRh5cqVpg5DREREzEiV+1SjiIiISEWlwktERETESMx2qrEi25Gxw9QhmJ28wjxyMnJMHYZZUu5Nq7Ln39nRGde6rn/eUaSCUOFVAfVd1dfUIYiIVArxA+NVeEmloqlGERERESMx68IrJCSEIUOGlHlANkBycjI+Pj4UFRXh4+NDUlKSiSIUERGRqsSsCy+An3/++ZZ3q9+0aRPe3t5GjEhERESqKrMvvBo0aMDixYvJzc29abuTkxPW1tbGDUpERESqJLMvvF566SUcHByIjo6+aftvpxrz8/N56623CAwM5Nlnn2XDhg34+vpy4sQJAC5fvkxkZCSBgYF07dqV2bNnc+XKFeDa9GVwcDBz584lMDCQ5cuXG+cCRUREpMIw+8LL1taWsWPHkpCQwN69e2/ZNyoqir179/Lee+8xa9YsVq9eTXFxsaF95syZXLhwgeXLl7NgwQKysrKYMWOGof3MmTNcvnyZ1atXExwcfM+uSURERComsy+8AAICAujQoQPvvvsuRUVFN+1z9epVNm3aREREBF5eXrRp04aIiAhD+7Fjx9i+fTuRkZE0adKE5s2bExkZybZt2zh9+rSh34ABA2jUqBHOzs73/LpERESkYtF9vP5PREQEL774Ih9//DHNmjW7oT0zM5PCwkJatGhh2Obp6Wn4PiMjg9LSUrp163bDvllZWVhaWgLX1pSJiIiIeVLh9X+cnZ0ZPHgwMTExTJgw4YZ2K6trqfr9rSeuKy4uxt7enri4uBvanJycSElJAcDGxuYuRi0iIiKViaYaf+Pll1/GycmJJUuW3NDWqFEjrK2tOXTokGHbwYMHDd+7urqSl5dHSUkJLi4uuLi4ALBw4ULDAnsRERExbyq8fsPa2ppx48Zx8uTJG9qqV69OcHAwCxYsYP/+/ezfv5+oqCgALCwscHd3x9fXl2nTpvHzzz+TmppKZGQk58+fx8nJydiXIiIiIhWQCq/f8fHx4amnnrppW1hYGE2bNmXUqFFMnDiRrl27Ahju8zV9+nRcXFwYPXo0w4cP5/7772fu3LlGi11EREQqNovc3NybL1qSG2zfvh0fHx+qV68OQEpKCkOHDuWbb74xrAG7G9wi3e7asUREqrL4gfH4uvuaOow7kpaWRpMmTUwdhtkyVf61uL4cYmJi+Pbbbxk0aBBXr15l0aJF+Pv739WiS0RERKouVQzlMGPGDObNm8fLL7+MlZUVAQEBhIeH3/XzxA+Mv+vHlFvLy8vD3t7e1GGYJeXetCp7/p0ddU9EqVw01SiChvxNSbk3LeXfdJR70zJV/rW4XkRERMRIVHiJiIiIGInWeFVAOzJ2mDoEs5NXmEdORo6pwzBLyr1pVfb8Ozs641rX1dRhiNw2FV4VUN9VfU0dgohIpRA/MF6Fl1QqmmoUERERMRIVXiIiIiJGUiELr82bN+Pj48OaNWtu2e/o0aP4+Phw4sQJI0UmIiIicucqZOGVmJiIi4sLGzduNHUoIiIiIndNhSu8Ll68yI8//khoaCiHDx/ml19+MXVIIiIiIndFhSu8vv76a2xsbOjcuTONGzcmISHB0FZUVMTcuXN58sknCQ4OZseOsrddyMzMJCwsjI4dO9KhQwdCQ0M5cuQIAMnJyQQHB/P555/TtWtXOnXqxJo1a0hOTqZXr1507NiRGTNmUFJSAsCVK1d46623CAoKon379vTs2ZOvv/4agDfeeIP58+cbzjt//nw6depEaem1hwAcPHiQgIAACgsLycnJYeLEiXTq1IknnniC/v37s2vXrnuaQxEREamYKlzhtXnzZnx9fbGyssLf35/NmzdTVFQEwPLly/nuu++YN28es2fP5pNPPjHsV1paSkREBPXr1ycuLo6YmBiKi4uJjo429Dl37hxff/01S5cuZcCAASxevJj33nuPadOmMW3aNL744gu+//57ABYsWEBmZibR0dF89NFHeHt7M3v2bAoKCmjXrh3JycmG4+7atYvLly+Tnp4OQFJSEo8++ijW1tZMmzaNoqIiYmJiWL16NQ888ADvvvuuMVIpIiIiFUyFKrzOnj3L7t27CQgIACAwMJDc3Fy+//57SktL2bBhA6GhobRt2xYvLy/CwsIM++bn5xMSEkJYWBiNGjWiWbNmBAcHG4ohgOLiYkaPHo2bmxs9e/akuLiYXr160apVKwIDA3F3dyczMxOANm3aMHHiRJo2bUrjxo3p378/Fy9e5OzZs7Rr147Dhw9z4cIFLl26xLFjx2jbti179+4FrhVevr6+APj5+TFu3Djc3d158MEH6dmzJxkZGYbRMRERETEfFeoGqomJiVSrVo0nnngCgFatWnH//fezceNGvLy8+O9//1vmgZbNmzc3fG9vb0/Pnj3ZtGkTBw8eJCsri19++QVHR8cy52jYsCEAtra2ANSvX9/QZmdnR0FBAQDPPPMM//73v/nXv/5FVlYWBw8eBKCkpAQXFxcaNmzI7t27sbS0pHnz5nh7e7N3716eeeYZ9u3bx+TJkwHo0aMHiYmJ7Nu3j6ysLA4dOgRcKwKtrCpU+kVEROQeq1Dv/ImJiRQVFdGlSxfDtpKSEr777jvD69+OFP22cLl69SqDBg2iVq1aBAQEEBQURGZmJrGxsWXOYWlpWeZ1tWo3H/SLjIw0FFLdu3fHycmJV155xdDerl07du3ahaWlJd7e3rRp04ZNmzaxZ88eHnjgARo2bEhJSQmjRo3i4sWLdOnSBT8/PwoLC5kwYcKdJUhEREQqtQpTeGVnZ3Pw4EHCw8Px8fExbD916hTh4eEkJiZSt25dUlJSaNasGQCpqamGfsnJyZw+fZq1a9caCrIff/zxjqb0Ll++zObNm1mxYgVeXl4AhrVf14/Xrl07li5diq2tLa+99hqenp6cPn2ahIQE2rdvD0BGRga7d+9m06ZNODk5AbB+/fpyxyMiIiJVQ4UpvBITE6lZsybdu3c3TAMCeHh44OXlxcaNG+nVqxcrVqygYcOG1KxZk4ULFxr6OTo6kp+fz7Zt22jZsiVJSUmsW7cOOzu7csdiZ2eHvb0927dvx8nJiezsbObOnQtAYWEhAI8++ijZ2dlYWFjg6emJvb09zZo1Y8uWLYa4atSoQbVq1diyZQsdO3YkJSWF5cuXA1BQUKCpRhERETNTYRbXJyYmEhQUVKbouq5Hjx4cOnQIf39/goODmTJlCmPHjuWFF14w9PHy8mLo0KHMmzePfv36kZCQwIQJE7hw4QKnTp0qVyxWVlZMnz6d7du38+KLL7JgwQIGDx5MvXr1DPcVq169Oq1atcLDwwN7e3sAvL29sbGxwdvbG4AHHniACRMmsGbNGl588UU+/PBDIiIisLKy0v3JREREzJBFbm6uPl5XwbhFupk6BBGRSiF+YDy+7r6mDuOOpKWllfnAmBiXqfJfYUa8RERERKo6LTKqgOIHxps6BLOTl5dnmDIW41LuTauy59/Z0dnUIYiUiwqvCqiyDptXZmlpaTRx15C/KSj3pqX8ixiXphpFREREjESFl4iIiIiRaKqxAtqRscPUIZidGtY1TB2CiIiYARVeFVDfVX1NHYLZWdl7palDEBERM6CpRhEREREjqVSF1+bNm/Hx8WHNmjUmi2H48OEsWbLEZOcXERGRyqtSFV6JiYm4uLiwceNGU4ciIiIiUm6VpvC6ePEiP/74I6GhoRw+fFjPOhQREZFKp9IUXl9//TU2NjZ07tyZxo0bk5CQYGgbPnw4H3zwAWPGjMHPz4++ffvy/fffG9ozMzMJCwujY8eOdOjQgdDQUI4cOQJAcnIywcHBfP7553Tt2pVOnTqxZs0akpOT6dWrFx07dmTGjBmUlJQYjpeTk8Nrr71Ghw4dGDJkCNnZ2YY2Hx8fli5dylNPPcXIkSMB+Pzzz+nduzft27enS5cuvPPOOxQVFd3rlImIiEgFU2kKr82bN+Pr64uVlRX+/v5s3ry5TPHy4Ycf8tRTTxEbG4urqyuzZs2iuLiY0tJSIiIiqF+/PnFxccTExFBcXEx0dLRh33PnzvH111+zdOlSBgwYwOLFi3nvvfeYNm0a06ZN44svvihTyG3cuJHAwEDi4uJo2LAho0ePLhPLN998w4oVKxg7dix79uxhzpw5vPbaa/zzn/9k4sSJJCQksG3bNuMkTkRERCqMSlF4nT17lt27dxMQEABAYGAgubm5ZYqh9u3bExwcjLu7O6+88go5OTmcPXuW/Px8QkJCCAsLo1GjRjRr1ozg4GDS09MN+xYXFzN69Gjc3Nzo2bMnxcXF9OrVi1atWhEYGIi7uzuZmZmG/gEBAfTu3Rs3NzcmTpzIhQsX2LHjf/feev7553F1dcXDwwNbW1umTJlCYGAgDRo0oFOnTjRt2pSMjIx7nzgRERGpUCrFfbwSExOpVq0aTzzxBACtWrXi/vvvZ+PGjYZirGHDhob+Dg4OABQVFWFvb0/Pnj3ZtGkTBw8eJCsri19++QVHR8cy57i+v62tLQD169c3tNnZ2VFQUGB43aJFizLnaty4MZmZmfj5+QHQoEEDQ3vz5s2xtbVl+fLlpKenc/jwYY4ePcpjjz321xMjIiIilUqlKbyKioro0qWLYVtJSQnfffcdubm5AFhbW9+wX2lpKVevXmXQoEHUqlWLgIAAgoKCyMzMJDY2tkxfS0vLMq+rVfvjwUALC4syr0tKSsqc/3rxBrBjxw7GjRvHM888Q7t27Rg6dCjvvvvun1+0iIiIVDkVvvDKzs7m4MGDhIeH4+PjY9h+6tQpwsPD2bx58y33T05O5vTp06xduxYrq2uX++OPP1JaWnrHMV1fmA9w6dIlsrOzcXNzu2nfDRs28OyzzzJp0iTg2ijc8ePH8fb2vuPzi4iISOVU4QuvxMREatasSffu3cuMJHl4eODl5cXGjRupXr36H+7v6OhIfn4+27Zto2XLliQlJbFu3Trs7OzuOKYtW7bQpk0bWrduzdKlS2nUqFGZovD359+/fz9paWlUq1aNVatWkZOTQ2Fh4R2fX0RERCqnCr+4PjExkaCgoDJF13U9evTg0KFDZUagfs/Ly4uhQ4cyb948+vXrR0JCAhMmTODChQucOnXqjmLq06cPn3/+OQMGDODSpUvMnTv3D6cmQ0NDue+++3jllVcYNWoU1tbW9OrVS/chExERMUMWubm5dz7nJveEW6SbqUMwOyt7r+TJFk+aOgyzlJaWRpMmTUwdhtlS/k1HuTctU+W/wo94iYiIiFQVFX6NlzmKHxhv6hDMTg2LGqYOQUREzIAKrwrI193X1CGYnbS0NFOHICIiZkBTjSIiIiJGosJLRERExEg01VgB7cjY8eed5K7KK8wjJyPH1GGYJeXetCp7/p0dnXGt62rqMERumwqvCqjvqr6mDkFEpFKIHxivwksqFU01ioiIiBiJCi8RERERI6mShVdRUREffPAB3bt354knnuDZZ59l9uzZnD9//rb29/HxISkp6Y7OvXPnzls+wkhERETMV5UsvN5//30SExOZMGEC69ev56233uLw4cO8/vrrlJbe2yckjRgxgnPnzt3Tc4iIiEjlVCULr//3//4fw4YN4/HHH6dBgwZ4e3szc+ZMDh06xM8//2zq8ERERMRMVcnCy8LCgp07d1JcXGzY1rBhQz766COaNGlCSUkJq1ev5oUXXsDPz49XX32V1NTUmx7r+++/p0OHDmzfvh2AixcvMnv2bLp27UpgYCBvvvkmFy5cACAkJASAUaNGsXz5cgD27dtHaGgo/v7+hISEsG7dunt45SIiIlKRVcnCq0+fPvzzn/8kJCSEWbNmkZiYyKVLl3jwwQexs7MjJiaGNWvWEB4eTmxsLM7OzoSFhXHlypUyxzlw4ABTpkxh4sSJdOzYEYDx48eTmppKVFQUf//738nKyiIyMhKADz/8EIDZs2fTv39/MjIyGDlyJN7e3qxevZrQ0FCio6PZunWrEbMhIiIiFUWVvI/XK6+8QuPGjVm/fj0JCQls2LABW1tbhg0bRv/+/fnkk08YPnw4/v7+AEyZMoUXXniBTZs20atXLwCys7NZsWIFw4cPJzg4GLj2PL9du3bx8ccf4+7uDsDMmTPp1asXR44cwcPDA4BatWpRvXp1/vWvf/HQQw8xYsQIAFxdXcnMzGT16tV07tzZ2GkRERERE6uShRdAly5d6NKlC5cuXSIpKYnPPvuM6Oho6tSpw8WLF2nVqpWhr5WVFc2bNyczM9OwbeHChRQWFvLAAw8YtmVmZuLg4GAouuBaMVWrVi0yMzMNhddv+7ds2bLMNi8vL9avX3+Xr1ZEREQqgyo31ZiWlkZUVJThdc2aNenUqRPR0dE0b96cXbt23XS/kpKSMmvCnnvuOQYPHsyCBQvIz88HwMbG5qb7FhcXU1JScsP2m/UvLi4ucx4RERExH1Wu8CouLubjjz9m//79ZbZbWFhQo0YNGjRogJOTU5lPNxYVFXHo0CFcXf/32InAwEAGDRpESUkJH3zwAQBubm5cuXKFjIwMQ7/09HSuXLlSZt/r3N3dOXDgQJlt+/fvp3HjxnflWkVERKRyqXKFV7NmzejQoQMTJkwgISGB48ePk5KSwvvvv09qairdunWjX79+xMTE8M0335CZmcns2bPJz8/nqaeeKnMsOzs7xowZw5o1a8jMzMTV1ZUOHTowffp0UlJSSElJYfr06bRu3ZqmTZsCUL16ddLT07l8+TI9evTg8OHDvP/++2RlZbFx40bWr19vWEcmIiIi5sUiNzf33t5R1ATy8/OJjY1ly5YtnDp1Cmtra9q2bcuIESN48MEHKSkpISYmhs8++4zLly/j6elJRESEYY2Wj48PixcvxsfHB4Bhw4ZhZWXF+++/z4ULF5g3bx7fffcd1apVw9/fn/DwcGrVqgXAsmXLiIuLo3v37oSHh7Nz504WLVrEkSNHqF+/Pi+99BI9evS4ZfxukW73ND8iIlVF/MB4fN19TR3GHUlLS6NJkyamDsNsmSr/VbLwquxUeImI3B4VXnKnTJX/KjfVKCIiIlJRVdnbSVRm8QPjTR2C2cnLy8Pe3t7UYZgl5d60Knv+nR2dTR2CSLmo8KqAKuuweWWWlpZGE3cN+ZuCcm9ayr+IcWmqUURERMRIVHiJiIiIGImmGiugHRk7TB2C2ckrzCMnI8fUYZilyp57Z0dnXOveeANlEZGbUeFVAfVd1dfUIYjIbYofGK/CS0Rum6YaRURERIykSo54TZ8+nY0bN/5h+9SpUwkODr4r5woJCWHw4ME8//zzd+V4IiIiUnVVycIrIiKCkSNHArBnzx4mT57Mpk2bDO01atQwVWgiIiJixqpk4VWjRg1DcXX9GYpOTk6mDElERETE/NZ4ZWZmEhYWRseOHenQoQOhoaEcOXIEgOTkZIKDg5k7dy6BgYEsX76coqIiFi1aRHBwML6+vnTr1o3169eXOWZGRgYvv/wyfn5+jBkzhnPnzhna9u3bR2hoKH5+fvj7+zNmzBjOnDlj1GsWERGRisGsCq/S0lIiIiKoX78+cXFxxMTEUFxcTHR0tKHPmTNnuHz5MqtXryY4OJhVq1bxzTff8Pbbb7N+/XqCg4OJiori7Nmzhn0+++wz+vfvz4cffkhRURETJ04E4MqVK4wdOxYfHx8++ugjoqOjOX78OP/4xz+Mfu0iIiJiemZVeOXn5xMSEkJYWBiNGjWiWbNmBAcHk56eXqbfgAEDaNSoEc7Oznh4eDBlyhQ8PT1p2LAhgwYNori4mKysLEP/7t27ExQUhIeHB3/729/Yu3cvR44cIS8vj0GDBjF06FAaNmxI69atefLJJ284n4iIiJiHKrnG64/Y29vTs2dPNm3axMGDB8nKyuKXX37B0dGxTL8GDRoYvu/YsSM//fQTCxcuJCsri0OHDgFQUlJi6NOiRQvD987OztSqVYuMjAw6d+5McHAwa9euJTU1lYyMDNLS0mjVqtU9vlIRERGpiMxqxOvq1asMGjSIL7/8Ejc3N4YNG8bo0aNv6GdjY2P4fsmSJbz55ptYWlry9NNPs3Llyhv6W1hYlHldWlqKtbU1Z86coW/fvvznP/+hefPmhIeH069fv7t/YSIiIlIpmNWIV3JyMqdPn2bt2rVYWV279B9//JHS0tI/3OfTTz/ljTfeICgoCMAwTfjbfY4cOUKXLl0AyM7O5tKlS7i5ubF9+3YcHBxYuHChoe8nn3xyy/OJiIhI1WVWhZejoyP5+fls27aNli1bkpSUxLp167Czs7vlPt999x2tWrUiJyeHqKgoAAoKCgx9Pv74Y5o2bYqLiwtz5syhQ4cOuLq6cujQIc6ePctPP/1Eo0aN2Lp1K9u2baNp06b3/FpFRESk4jGrwsvLy4uhQ4cyb948CgoK8PDwYMKECcyYMYNTp07ddJ8333yTd999lz59+uDk5MTzzz+PlZUVqamp+Pn5AdC/f3+WL1/O8ePHadeuHVOmTAGgc+fO7N69m8mTJwPX1oKFh4ezZMkS8vPzb1nwiYiISNVjkZubq3mvCsYt0s3UIYjIbYofGI+vu6+pw7hjaWlpNGnSxNRhmCXl3rRMlX+zWlwvIiIiYkpmNdVYWcQPjDd1CGYnLy8Pe3t7U4dhlip77p0dnU0dgohUIiq8KqDKPG1RWaWlpdHEXUP+pqDci4g50VSjiIiIiJGo8BIRERExEhVeIiIiIkaiNV4V0I6MHaYOwezkFeaRk5Fj6jDMUmXPvbOjM651XU0dhohUEiq8KqC+q/qaOgQRuU3xA+NVeInIbdNUo4iIiIiRmH3hNW7cOLp160Z+fv4NbeHh4fTv35/i4uKb7puQkEBwcPC9DlFERESqCLMvvCIiIrhw4QKxsbFltn/77bfs2LGDyZMnY2lpaaLoREREpCox+8Krfv36DBkyhNWrV3P8+HEACgoKWLBgAb1796ZFixYmjlBERESqCrMvvAD69euHs7MzixYtAmDNmjUUFhYyfPhwTp8+zaRJk+jcuTNdunRh7ty5/Prrr2X2X7JkCYGBgTzzzDNs2LChTNtnn33G888/T0BAAKGhoaSkpBjtukRERKRiUeEFWFlZMX78eLZv38727duJjY1l/PjxWFtbM2LECPLy8liyZAlvv/02P/zwA++9955h3zNnzpCamkpMTAwjRoxgzpw5JCUlAdemK5ctW0Z4eDirV6/G19eXESNGkJNTeT86LyIiIndOhdf/eeSRRwgKCmLSpEk8/vjj+Pn5sWPHDs6cOcP06dNp0qQJjz76KOPHj+ezzz7j8uXLAFhbWzNt2jQ8PDwIDg4mKCiITz/9FIDY2FgGDBhAQEAAjRs3ZsiQITRv3vyGUTERERExD7qP128MHjyYL7/8kqFDhwKQkZGBi4sLjo6Ohj6enp4UFxeTnZ0NgLOzM7Vr1za0P/zww4bCKzMzkyVLlrBs2TJDe0FBAfXq1TPC1YiIiEhFo8LrN2xtbW/652+VlJSU+bNatbKDhqWlpVhbWwNQXFxMWFgYjz/+eJk+9vb2dzdwERERqRQ01XgLbm5uHD16lAsXLhi27d+/H0tLSxo1agTAiRMnuHr1qqH9wIEDuLm5AeDq6srp06dxcXExfK1Zs4Zdu3YZ9TpERESkYlDhdQs+Pj40btyYyMhI0tLSSE5OJioqii5duhimFwsLC5k+fTpHjhzh008/5auvvuKll14C4KWXXuLjjz8mISGBY8eOsWLFCj7//HNDYSYiIiLmRVONt1CtWjXmzp3L3LlzGTJkCNWrVycoKIiRI0ca+jRt2tRwLzBHR0emTp1quPdXly5dOH/+PDExMeTk5ODq6srcuXNp2rSpqS5JRERETMgiNze31NRBSFlukW6mDkFEblP8wHh83X1NHcYdS0tLo0mTJqYOwywp96ZlqvxrqlFERETESDTVWAHFD4w3dQhmJy8vT582NZHKnntnR2dThyAilYgKrwqoMk9bVFZpaWk0cdeQvyko9yJiTjTVKCIiImIkKrxEREREjERTjRXQjowdpg7B7OQV5pGToYeXm4Jyb1rKv+lU9tw7OzrjWtfV1GFUOiq8KqC+q/qaOgQREZFbih8Yr8LrDmiqUURERMRIVHiJiIiIGInZFV4+Pj4kJSWV2bZ79278/PyYN2/en+5/4sQJfHx8OHr06E3bExISCA4O/sP9p0+fztSpU8sXtIiIiFQJZr/GKy0tjYiICLp06UJERMQ9P58xziEiIiIVk1kXXsePHycsLAwfHx+mTJmChYXFPT9njRo17vk5REREpGIyu6nG686fP8+YMWN46KGHmDlzJpaWloa2goIC5s+fz1NPPUXnzp2ZNGkS586dK7P/tm3bCA4OJjAwkKioKIqKisq0L1myhMDAQJ555hk2bNhg2K6pRhEREfNlloXXlStXCAsL4/Tp08ycORNra+sy7e+//z779+9n/vz5LFu2jNLSUsaOHUtpaamhz4YNG5g1axZRUVFs376dFStWGNrOnDlDamoqMTExjBgxgjlz5tywrkxERETMj1kWXnPmzAHA2tqaVatWlWnLz89n3bp1TJw4kVatWuHh4UFkZCTp6ens2bPH0O/111+ndevWtG3blldffZVPP/3U0GZtbc20adPw8PAgODiYoKCgMu0iIiJinsxyjVetWrWIjo5m69atzJs3j8DAQDw9PYFr674KCwsZNmxYmX0KCgrIzs7mgQceAKB58+aGtmbNmnHhwgX++9//AuDs7Ezt2rUN7Q8//LAKLxERETHPwuv111+ndu3a9OjRg82bNzNjxgzi4uKwtbWluLgYgKVLl96wEL5OnTpcvHgRgGrV/jdYWFJSAmCYsvxtG0BpaekN05kiIiJifsxyqvH6QnoLCwsmT57MyZMnWbZsGQANGzbE0tKS3NxcXFxccHFxoU6dOixcuJCTJ08ajnH48GHD9ykpKTg5ORkKtRMnTnD16lVD+4EDB3BzczPClYmIiEhFZpaF12+5u7szaNAg1q5dy759+3BwcCAkJIR58+bxn//8h8zMTCIjIzl8+DAuLi6G/aKioti/fz9JSUksW7aMfv36GdoKCwuZPn06R44c4dNPP+Wrr77ipZdeMsXliYiISAVillONvzdo0CC2bt3KzJkzWb16Na+//jrR0dFMmTKFgoICPD09WbRoEXZ2doZ9evfuzbhx4ygsLCQkJIS+ff/3YOumTZtSv359hgwZgqOjI1OnTqVFixamuDQRERGpQCxyc3NL/7ybGJNbpJupQxAREbml+IHx+Lr7mjqMO5aWlkaTJk2Mfl6zn2oUERERMRZNNVZA8QPjTR2C2cnLy8Pe3t7UYZgl5d60lH/Tqey5d3Z0NnUIlZIKrwqoMg/dVlZpaWk0cTf+kLMo96am/JuOcm+eNNUoIiIiYiQqvERERESMRFONFdCOjB2mDsHs5BXmkZORY+owzFJlz72zozOudV1NHYaIVBIqvCqgvqv6/nknEakQ4gfGq/ASkdumqUYRERERI1Hh9Ts+Pj4kJSWV2bZ79278/PyYN2/eXz5+cnIyPj4+FBUV/eVjiYiISOWiwutPpKWlERERQZcuXYiIiPjLx/Py8mLTpk1YWWmWV0RExNyo8LqF48ePExYWho+PD1OmTMHCwuIvH9Pa2honJ6e7EJ2IiIhUNiq8/sD58+cZM2YMDz30EDNnzsTS0tLQ9uuvv7J48WKCg4Px9/dn7NixnDx50tB+/PhxRo4ciZ+fH3379iUuLo6QkBBAU40iIiLmTIXXTVy5coWwsDBOnz7NzJkzsba2LtP+zjvvsG3bNiIjI1m5ciXFxcVERERQXFxMUVERY8eOpXr16qxatYqBAwcSExNjoisRERGRikSF103MmTMHuDYtuGrVqjJtFy9e5IsvviAiIoJHH32Uhx56iBkzZnDs2DF27NjBzp07OXnyJFOnTuXBBx+ka9eu9OrVyxSXISIiIhWMCq+bqFWrFtHR0YwcOZK1a9eyf/9+Q1t2djYlJSW0bNnSsM3R0RFXV1cyMzM5fPgwjRo1ombNmoZ2T09Po8YvIiIiFZMKr5t4/fXXqV27Nj169MDT05MZM2bw66+/AmBjY3PTfYqLiykuLi6zFuy60tLSexqviIiIVA4qvG7ievFkYWHB5MmTOXnyJMuWLQPAxcUFS0tLDhw4YOifm5vL0aNHcXV15cEHH+TYsWNcvnzZ0H7o0CHjXoCIiIhUSLqZ1J9wd3dn0KBBxMTE0LFjR7y8vOjevTtRUVHY2NhQu3ZtFi9eTL169fD19cXa2poGDRrw1ltv8eqrr5KRkcFHH31ErVq1TH0pIiIiYmIa8boNgwYNws3NjZkzZ5Kfn8/o0aNp164dEydOZOjQoVhbW/P+++9ja2tLtWrVePfddzl37hz9+/cnJiaG55577oZPRoqIiIj50YjX7/z+cUEAVlZWfPTRR2W2jRs3jnHjxt3Q9/z585w8eZIVK1YYtq1evdpw09RHHnnkpucQERGRqk8jXvfAG2+8wfr16zl58iRJSUl89NFHdOrUydRhiYiIiIlpxOsuq1u3LrNnz2bZsmUsXLiQunXr0qtXL3r27Hnbx4gfGH8PI5SbycvLw97e3tRhmKXKnntnR2dThyAilYhFbm6u7nUgIiIiYgSaahQRERExEhVeIiIiIkaiwktERETESFR4iYiIiBiJCi8RERERI1HhZUQFBQXMnj2bTp060bVrV2JjY/+wb2pqKkOGDMHPz48BAwaQkpJixEirnvLkfsuWLfTp0wd/f39eeuklvv32WyNGWvWUJ/fXXbhwga5du5KQkGCECKu28uQ/MzOT1157DT8/P3r06MHXX39txEirnvLkfvfu3QwYMAB/f3/69evHjz/+aMRIq7aCggL69Olzy5uXG/M9V4WXES1atIh9+/axePFiJk2axD/+8Q8SExNv6JeXl8frr79Oq1atiI2NpU2bNoSHh3PlyhUTRF013G7ud+/ezbRp0+jTpw9r1qwhJCSE8ePH88svv5gg6qrhdnP/W/Pnz+f8+fNGirBqu938X716lVGjRlGvXj3WrFlD7969+dvf/kZ6eroJoq4abjf358+fJyIigk6dOrF27Vo6d+7MuHHjOHnypAmirlp+/fXXP/09NvZ7rgovI8nLy2PDhg2MHTuW5s2bExAQQP/+/Vm3bt0Nfbds2YKVlRWvv/467u7uhIeHU6NGDbZs2WKCyCu/8uR+48aNPPnkkzz//PO4uLjw4osv8uijjyr3d6g8ub/uhx9+ICUlhTp16hgx0qqpPPnftGkTlpaWvPnmmzRu3JgXX3yRxx9/nP3795sg8sqvPLnfu3cvAAMHDqRRo0YMHjwYW1tbfv75Z2OHXaWkp6czZMgQjh07dst+xn7PVeFlJGlpaRQUFNC6dWvDtjZt2pCSkkJRUVGZvj///DNeXl5Uq3btx2NhYYGXl5f+AbxD5cl97969GTJkyA3HKCgouOdxVkXlyT3AlStXeOedd5g0aZIeLH8XlCf/O3fuxN/fHyur/z3QZMGCBYSEhBgt3qqkPLl3dHTk8uXLbN26ldLSUrZv387Vq1d56KGHjB12lbJnzx4ef/xxVq5cect+xn7PVeFlJDk5OdSqVQtbW1vDtrp161JYWEhubu4Nfe+///4y2+rWrcuZM2eMEWqVU57cN23alAcffNDw+siRI+zcuRNvb29jhVullCf3ANHR0fj6+tK2bVsjRll1lSf/x44do06dOrz77rs8/fTTvPzyy1rf+BeUJ/fe3t706tWLKVOm0L59e8aPH8+ECRNwd3c3ctRVS/fu3RkzZgx2dna37Gfs91wVXkaSn5+PjY1NmW3XX/9+NCU/P/+G/+3b2NhQWFh4b4OsosqT+986f/4848ePp02bNgQEBNzTGKuq8uR+165dfPfdd4wePdpo8VV15cn/1atXiYuLo2bNmixcuJDOnTszfvx4Dh48aLR4q5Ly5D4vL48TJ04wZMgQPvzwQ0aNGsX8+fM1y2Ekxn7P1UOyjcTGxuaGv2zXX/++Gre1tb3hB15QUPCnVbvcXHlyf93p06cZM2YMlpaWvP3224YhaCmf2819fn4+s2bNIiIigho1ahg1xqqsPL/7lpaWeHh4MGLECAAefvhh9uzZw7/+9S+aN29unICrkPLkPi4ujsLCQl599VXgWu7T09NZuXIlCxYsME7AZszY77l6NzGSevXqcenSpTI/3HPnzmFjY0OtWrXK9L3//vs5d+5cmW3nzp3jvvvuM0qsVU15cg9w/Phxhg0bBsCSJUuoXbu2sUKtcm439ykpKRw9epTIyEgCAgIICAjg7NmzvPPOO7z99tumCL1KKM/vvpOTE25ubmW2ubq6curUKWOEWuWUJ/cpKSllljgANG/enBMnThglVnNn7PdcFV5G0rRpU6ytrdm3b59h2969e2nWrFmZxawArVq1Yt++fZSWlgJQWlrK/v378fT0NGrMVUV5cn/hwgVGjRpFjRo1WLZsmYrdv+h2c9+iRQv++c9/EhcXZ/iqW7cuw4YNM4wCSPmV53ff09PzhtumZGRk0KBBA6PEWtWUJ/dOTk4cPny4zLaMjAwaNmxolFjNnbHfc1V4GYmdnR3PPPMMc+bM4cCBA3zzzTfExcXx4osvAtcW9+Xn5wPw5JNPkpeXx7x580hPT2fBggVcuXKFLl26mPISKq3y5H7JkiXk5uYybdo0ioqKyMnJIScnh8uXL5vyEiqt2829nZ0dLi4uZb4sLS2pW7cudevWNfFVVF7l+d3v3r072dnZREdHc+zYMeLj40lKSuKFF14w5SVUWuXJ/QsvvMDu3buJjY3l+PHjbNiwgYSEBPr27WvKS6jSTPmea5Gbm1t6T44sN8jPz+edd95h27ZtODg40K9fP/r16weAj48PU6dOJTg4GLg29Pz222+TkZHBQw89xIQJE7TO4i+43dx36dKFCxcu3LB/165dmTFjhrHDrhLK83v/W8HBwQwfPvymbXL7ypP//fv3ExUVxeHDh2nYsCEjR47E39/flOFXauXJ/ffff8+yZcvIysrC2dmZ0NBQnnzySVOGX6X4+PiwePFifHx8DK9N9Z6rwktERETESDTVKCIiImIkKrxEREREjESFl4iIiIiRqPASERERMRIVXiIiIiJGosJLROQ2XL+5YmVUmWMXqWpUeIlIhTR9+vRb3sNr+PDhhIaG3pNz+/j4sGTJEsPrDRs2lHlm3vLly/Hx8aGoqKjcx87Pz+eDDz6gT58++Pn5ERgYyODBg/nkk0/u6Hi3cunSJaZPn87OnTvv6nFF5M7pIdkiIn9i5cqVtG7d+i8fp7S0lLFjx5Kenk7//v3x8PCgsLCQ5ORkFi5cyJ49e5g9e/ZdiPia1NRUNm7cyNNPP33Xjikif40KLxERI9mzZw87d+5kwYIFPPHEE4bt/v7+1K5dmyVLlvDyyy/rKRUiVZgKLxGpMr799ls++OADjhw5QvXq1QkMDDQ89Py6Xbt28Y9//IOUlBTy8vK4//77efbZZ3nllVewtLS84ZjXHzFy8uRJvvzyS5KSkgxtP/30E8uWLSM9PZ377ruPPn363PL5eufPn//Dtueeew4LCwscHBwoKiqiW7dutG7dmrfffrtMv8GDB3P//fczZ84cUlNTiY6OJiUlhcLCQh5++GGGDh3K448/TkJCguExV6NGjeLZZ59l2rRpAHz++eesXbuW7Oxs6tSpw9NPP82wYcOwtrYGrk2lfvnll4SHh/P3v/+dY8eO0bhxYyZOnIi1tTXz58/n0KFD1KtXj+HDh+s5siLloDVeIlKhFRUV3fTr9wvGt2zZwhtvvEH9+vWZPXs2oaGhbN26lbCwMMPaqdTUVEaOHImDgwMzZsxgzpw5eHp6EhMTQ2Ji4k3Pv3z5cu677z4ef/xxli9fXqZt5syZhISEMHfuXJo0acKCBQv44Ycf/vBa2rZti4ODA2+++SaLFi1i165dhgf1Ojk5MWjQIBo3boyVlRXPPvss3377LZcuXTLsn5GRwYEDB3juuee4fPkyo0aNwtbWlunTpzN79mysra0JDw/n+PHjtG/fnoiICADCw8MZPHgwAKtXr2bmzJl4eXkxZ84cevfuzUcffcTUqVPLxJqTk8PcuXN5+eWXmTlzJpcuXWLSpElMnDiRzp07M2vWLGrXrk1kZCSnTp26nR+liKARLxGpwM6cOUP79u3/sP36uqvS0lIWLVpE27ZteeeddwztTZo0ITQ0lK+++oqgoCBSU1Np27Yts2bNMoxutW/fnh9++IHk5OSbroVq06YNNjY21KlThzZt2pRpmzx5suEh0l5eXnTu3JmkpKQ/jLlOnTq89957zJgxg7i4OOLi4rCysqJly5Z06tSJF154AVtbWwC6detGbGwsW7ZsoXv37sC1kar77rsPX19fDh06RG5uLgMGDMDLywuAli1b8uGHH5Kfn0/Dhg156KGHAPDw8KBx48ZcvnyZFStW8NxzzzFp0iQAnnjiCerVq8fUqVPZt2+f4Vj5+fm88cYbhuvLysri/fffZ/z48fTs2RP4X7GYkpJC/fr1//DnJCL/o8JLRCqsunXrMn/+/Ju2/bbAys7O5vTp0/Tv37/MJwNbtmyJk5MTP/30E0FBQQQHBxMcHExhYSFZWVkcPXqUX375heLiYgoLC8sdX9u2bQ3fOzg4UKdOnTIjVDfj5eXFunXr+Pnnn0lKSmLXrl3s27ePvXv38tlnn7F06VLq1KmDi4sL3t7ebNq0ie7du1NcXMwXX3zB008/jZWVFR4eHtx3332MHTuWp556inbt2vHII48QHh7+h+fev38/+fn5BAQElMmTn58f1apV46effjIUXkCZDxQ4OTkZ4r/O0dERgIsXL95mxkREhZeIVFhWVla0aNHipm3Vq1enuLgYgNzcXACioqKIioq6oe/Zs2cB+PXXX5k/fz6bNm2ioKCAhg0b4unpiZWV1R3d68rOzq7M62rVqlFSUvKn+1lYWODp6YmnpyevvPIKV69eZe3atSxfvpzY2FjCwsIACAkJYdq0aRw9epTMzEzOnTtHt27dALC3tycmJoYPP/yQr7/+mvXr12NjY0NgYCATJkwos67tugsXLgDwxhtv3DSu63m6zsHB4YY+9vb2Za5DRMpHhZeIVHrXi4yRI0fy2GOP3dB+vYCIiopiy5YtzJo1i8cee8xQRAQFBRklzokTJ3Lu3DlWrFhRZnv16tUZOnQoX331FRkZGYbtgYGBzJs3jy1btpCVlYWnpydubm6G9oYNGzJlyhRKS0tJS0tjy5YtxMXFUatWLcaNG3fD+a/nKTIyssxxrqtdu/ZduU4R+WNaXC8ilZ6bmxt169bl+PHjtGjRwvDl7OxMdHQ0+/fvB2Dv3r14e3vj7+9vKLpSUlL473//e8uRqmrV7s4/la6uruzdu5f//Oc/N7RdvnyZs2fP4uHhYdhmZ2dHUFAQW7du5fvvv+e5554ztH311Vc89dRT5OTkYGFhQdOmTRk5ciSurq6cOHHipnG3atUKGxsbTp8+XSZPDg4OvPfee2WKPhG5NzTiJSKVnqWlJSNHjuStt94Crt0XKy8vj9jYWI4dO8b48eOBa2u+tmzZwieffIKbmxtpaWmsWrUKCwsLw6cLb6ZmzZqkpaWRlJTEo48+esdx9uvXj3//+9+MHTuW559/nscee4zq1auTmZnJJ598goODA/369SuzT0hICOvXr8fOzo7OnTsbtrdu3ZqSkhLGjh3Lyy+/TK1atdixYwfp6ekMGDDAEDfADz/8wH333YeHhwcDBgxgxYoVXLp0iccee4zz588TExPDr7/+qvuHiRiBCi8RqRKee+45HBwciI2NZdOmTdjZ2eHp6cmUKVNwd3cHICwsjMLCQlasWEFhYSHOzs4MHjyYrKwstm/fTlFREVZWN/6zOGjQIN555x3GjRtHfHz8HcdYq1YtPvjgA9asWcM333xDQkICBQUF1KtXDz8/P4YMGXLDdN/DDz9MvXr1ePTRR8us23JycmLx4sUsXbqUuXPncvXqVRo3bsybb77JM888A8CDDz7I008/zfr168nMzGThwoUMGzYMJycn1q1bx8cff0zNmjV55JFHeO2116hbt+4dX5uI3B6L3NxcPT1VRKSCSktLo1+/fqxYseKuPLZIRExLI14iIhVQcnIyycnJfPnll3h5eanoEqkitLheRKQCunjxImvWrKFGjRpMnz7d1OGIyF2iqUYRERERI9GIl4iIiIiRqPASERERMRIVXiIiIiJGosJLRERExEhUeImIiIgYyf8HV6Dpm3qAJNIAAAAASUVORK5CYII=\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Plotting Health System in States\n", - "plt.figure(figsize = (8,12))\n", - "sns.barplot(x = NCDC_external['Health System'], y = NCDC_external['states'], data = NCDC_external, color = 'green').set_title('Health System in States')" - ] - }, - { - "cell_type": "markdown", - "id": "b3f88ce8", - "metadata": {}, - "source": [ - "TODO L -\n", - "Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", - "Steps\n", - "\n", - ">From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", - ">Hint: Use Pandas.melt to create your plot DataFrame\n", - ">Set your quarter legend to lower left.\n", - ">Using axhline, draw a horizontal line through the graph at the value of Q2 2020.\n", - ">Write out your observation\n" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "id": "81e7c755", - "metadata": {}, - "outputs": [], - "source": [ - "#Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", - "#From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", - "#Hint: Use Pandas.melt to create your plot DataFrame\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 156, - "id": "71e84fea", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YearQ1Q2Q3Q4
0201415438679.5016084622.3117479127.5818150356.45
1201516050601.3816463341.9117976234.5918533752.07
2201615943714.5416218542.4117555441.6918213537.29
3201715797965.8316334719.2717760228.1718598067.07
4201816096654.1916580508.0718081342.1019041437.59
5201916434552.6516931434.8918494114.1719530000.00
6202016740000.0015890000.0017820000.000.00
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" - ], - "text/plain": [ - " Year Q1 Q2 Q3 Q4\n", - "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", - "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", - "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", - "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", - "4 2018 16096654.19 16580508.07 18081342.10 19041437.59\n", - "5 2019 16434552.65 16931434.89 18494114.17 19530000.00\n", - "6 2020 16740000.00 15890000.00 17820000.00 0.00" - ] - }, - "execution_count": 156, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Declaring the dtat set to be used\n", - "RealGDP" - ] - }, - { - "cell_type": "code", - "execution_count": 157, - "id": "dd8ef945", - "metadata": {}, - "outputs": [], - "source": [ - "#Restructuring the RealGDP dataframe for easy readability and accessibility\n", - "Q_RealGDP= pd.melt(RealGDP, id_vars=['Year'], var_name='Quarter', value_name='Amount in Billion(N)')" - ] - }, - { - "cell_type": "code", - "execution_count": 158, - "id": "994c4a99", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YearQuarterAmount in Billion(N)
02014Q115438679.50
12015Q116050601.38
22016Q115943714.54
32017Q115797965.83
42018Q116096654.19
52019Q116434552.65
62020Q116740000.00
72014Q216084622.31
82015Q216463341.91
92016Q216218542.41
102017Q216334719.27
112018Q216580508.07
122019Q216931434.89
132020Q215890000.00
142014Q317479127.58
152015Q317976234.59
162016Q317555441.69
172017Q317760228.17
182018Q318081342.10
192019Q318494114.17
202020Q317820000.00
212014Q418150356.45
222015Q418533752.07
232016Q418213537.29
242017Q418598067.07
252018Q419041437.59
262019Q419530000.00
272020Q40.00
\n", - "
" - ], - "text/plain": [ - " Year Quarter Amount in Billion(N)\n", - "0 2014 Q1 15438679.50\n", - "1 2015 Q1 16050601.38\n", - "2 2016 Q1 15943714.54\n", - "3 2017 Q1 15797965.83\n", - "4 2018 Q1 16096654.19\n", - "5 2019 Q1 16434552.65\n", - "6 2020 Q1 16740000.00\n", - "7 2014 Q2 16084622.31\n", - "8 2015 Q2 16463341.91\n", - "9 2016 Q2 16218542.41\n", - "10 2017 Q2 16334719.27\n", - "11 2018 Q2 16580508.07\n", - "12 2019 Q2 16931434.89\n", - "13 2020 Q2 15890000.00\n", - "14 2014 Q3 17479127.58\n", - "15 2015 Q3 17976234.59\n", - "16 2016 Q3 17555441.69\n", - "17 2017 Q3 17760228.17\n", - "18 2018 Q3 18081342.10\n", - "19 2019 Q3 18494114.17\n", - "20 2020 Q3 17820000.00\n", - "21 2014 Q4 18150356.45\n", - "22 2015 Q4 18533752.07\n", - "23 2016 Q4 18213537.29\n", - "24 2017 Q4 18598067.07\n", - "25 2018 Q4 19041437.59\n", - "26 2019 Q4 19530000.00\n", - "27 2020 Q4 0.00" - ] - }, - "execution_count": 158, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Q_RealGDP" - ] - }, - { - "cell_type": "code", - "execution_count": 159, - "id": "8c2fcdb6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 159, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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LaNy4Mbp06aL5BRFRpfDOPJEtyf3793HhwgWltbQLCwsVXy8WiYqKQufOnfWyhCSRITl8+DBkMhk+/vhjtQXEp59+ipMnT2L//v0qL4RpU8+ePbF7926sWLECsbGxsLW1Vay89PoTWgD45JNP8MMPP2DgwIHo0KED5HI5oqOjER8fD1tbW6SlpSEjIwPVqlUrcxwCgQCLFy/GjBkzcODAAZw9exZt27aFg4MDpFIpLCwsFMWns7OzUrFZtWpVdOzYESdOnMCgQYPQrl07JCcn49SpU3B3d1d8FQ4AH330EaysrLB9+3Y8ePAAtWvXRlJSEs6ePav46v71CfuLZgnYu3cvcnJy4OPjg/r162PatGkIDQ3F119/DW9vbzg4OODGjRu4ceMG6tWrhyFDhpQ5B6/r0qULlixZgidPnmDAgAFlmtLsk08+gUAgwPz58xEUFISGDRuiWbNmsLS0VAxbefnyJczNzTFmzBiV4WMAlF5iKygoQHp6Oq5cuYLExETUqlVL5ak8ERmGd76QLSgoQLdu3VT+kH79DzSpVIrLly9jwYIF+g6PqNI7fPgwAJQ6sX3r1q3h6OiIx48fF/umuba89957WLFiBSIjI/H7779DLBbDy8sLo0aNwqBBg5TaBgYGokqVKjh8+DD27NkDa2tr1K1bFyNHjkRGRgZmzZqFS5cu4b333nujWMzNzbFo0SJcuHABe/fuxbVr15Camgpra2u899576Nq1K7KysrBu3Tp8/vnnGDFiBPr27QsA+P7772Fvb4+TJ0/i119/Rb169TBz5kzk5uYqFbLVqlXDmjVrsGbNGly9ehXR0dFwdHTEZ599hoCAAAwaNAhXrlxBQUEBjI2N4eHhgS+//BKHDh3CL7/8grp166J+/fro2LEjNmzYgK1bt+LPP/9Ebm4uHB0dMXDgQHz99dewtrZ+498T4NUME23atMGZM2c0Hlbwuu7du+P999/HoUOHcObMGZw+fRovX76EtbU1XF1d0a5dO/j5+am8rFXk9fHMRkZGMDc3R926dfHpp5/iiy++0HiqNCKqXATp6elvNqjIgBUtmejp6YlVq1bh2rVr2Lx5s2L/rl278Pz5cwQFBQEAYmNjERAQgFOnTqmsl05EVF5JSUnYuXMnmjVrVuo/CAyVXC6Hv78/LC0tsX379ooOh4jeEu/89yiff/457t27hzVr1uDhw4c4efIkVq1apbTkYHx8PJycnFjEEpFO1KxZExMnTnxri1jg/xYv6NmzZ0WHQkRvkXd+aIGTkxOWLFmCNWvW4Mcff4SdnR2GDx+u9PZvampqsavKEBGRelOnTsW///6L+/fvo0aNGvD19a3okIjoLfJODi0gIiL9WLp0Kfbu3at4oaxBgwYVHRIRvUVYyBIRERGRQXrnx8gSERERkWFiIUtEREREBomFLBEREREZJL0Xso8ePcK4cePQuXNn+Pn5Yfny5cjLyyu27d27dxEQEAAvLy8MHDgQsbGxSvujoqLg7+8PLy8vhISEqCzRSERERERvL70Wsvn5+Rg/fjxMTU2xceNGzJo1C2fOnEFERIRKW4lEgrFjx8LNzQ3bt2+Hh4cHgoODkZ2dDeDVIgWzZs1CQEAANm/ejOzsbISFhenzcoiIiIioAum1kP3777+RmJiI6dOno169emjZsiW+/fZbHD16VKVtVFQUjI2NMXbsWNSrVw/BwcGwsLBAVFQUAOCXX35Bx44d4efnh4YNGyIsLAyXLl1CYmKiPi+JiIiIiCqIXgvZOnXqYPny5UprWgsEAuTn56u0vXXrFpo3bw4jIyNFu+bNm+PmzZuK/S1atFC0d3R0hJOTk2I/EREREb3d9FrIVq1aFZ6enorPMpkMu3btgoeHh0rblJQUVKtWTWmbra0tkpOTAbxabcve3r7E/URERET0dqvQJWqXL1+OO3fuYOvWrSr7cnNzYWJiorTN1NRU8fQ2NzcXpqamSvtNTEwglUpLPN+9e/fKHzQRERER6UXDhg3V7q+QQlYul2Pp0qXYvXs35s+fX+yShWZmZipDDqRSKUQiEYBXRe1/i9b8/HzF/uKUlgwiIiIiMhx6L2RlMhnmzJmDo0ePYt68efD29i62XbVq1ZCamqq0LTU1FXZ2dmr3/3e4ARERERG9nfQ+j+zy5ctx7NgxLFiwAB07diyxnZubG27cuAG5XA7g1VPcmzdvolmzZor9169fV7R/9uwZnj59Cjc3N91eABERERFVCnotZG/evImff/4Zw4cPh6urK1JSUhS/gFcveOXm5gIAOnXqBIlEgsWLFyM+Ph7Lli1DdnY2unbtCgDo3bs3jh07hr179+Lff/9FWFgY2rZti9q1a+vzkoiIiIioggjS09Pl+jrZihUrsHPnzmL3XbhwAW3btsX06dPh5+cH4NWiB+Hh4UhISMB7772HSZMmwdXVVXHMwYMHERkZiYyMDHh6eiI0NBRVq1bVy7UQERERUcXSayFLRERERKQtFTr9FhEREZG2pWU8R0ZWWrn7sbawha11tdIbUoVhIUtERERvlYysNGw5sLTc/QzuMY6FbCWn91kLiIiIiIi0gYUsERERERkkFrJEREREZJBYyBIRERGRQWIhS0REREQGibMWEBER6QmnhSLSLhayREREesJpoYi0i0MLiIiIiMggsZAlIiIiIoPEQpaIiIiIDBILWSIiIiIySHzZi4iIAPCNeiIyPCxkicqJf/nT24Jv1FNFy89ORkFuarn7kcsKtRANGQIWskTlxL/8iYi0oyA3FU//DC93P/KmwVqIhgwBx8gSERERkUFiIUtEREREBolDC4jIIGhjLDLHIRMRvV1YyL7l+Jc/vS20MRaZ45CJiN4uLGTfcvzLn4hIO7TxRj3fpifSLhayREREGtDGG/V8m55Iu1jI0juL8xUSEREZtgorZKVSKQYOHIhx48bB09NTZf+IESNw9epVle2tWrVCREQEZDIZvL29kZeXp7T/5MmTsLS01Fnc9PbgfIVERESGrUIK2by8PEybNg3x8fEltlmwYAHy8/MVn+Pj4zFmzBj0798fAJCUlASpVIp9+/bBxMRE0c7CwkJ3gRMREREZOG18I2kssoOJuYOWIipHHPo+YXx8PKZNmwa5XK62nbW1teJnuVyOkJAQ+Pr6wsvLCwCQkJCA6tWrw8nJSafxEhFVdhwmQ0RloY1vJKu3nvJuFrIxMTFo3bo1hg8fjvbt22t0zPHjx/HgwQMsWbJEsS0hIQG1a9fWVZhERAaDw2SI6F2l90LW39+/zMds3boV/v7+sLOzU2yLj49HTk4Ohg8fjsTERLi4uCA4OBh16tTRZrhEREREVElV+lkLYmJicP/+fSxfvlxp+/379yGRSDBhwgRUqVIF27ZtQ2BgIH799dcSx8neu3dPDxFXLvkCSbn7kEgkb2Xu7MTlzw0AFBbKtNLP25rnqhaAUWFmufvJzy//itpva455L+uHNvLMHKvHe1k/tJFniUSCR3rITcOGDdXur/SFbFRUFN5//304OjoqbY+MjIRMJoNYLAYAzJ49Gz169MCZM2fg6+tbbF+lJaMy0daYtyc55f8tFovFqFfTcHKnKUnqP8jQQj9CYfkLLODtzvPTP5eXux+hFr72fptzzHtZ97SRZ+ZYPd7L+qGNPIvFYjR0rvjcVPpC9uLFixgwYIDKdjMzM5XPNWrUwPPnz/UVmk5xzBsRERGRetr5J4uOpKen49GjR2jZsqXS9oKCAvj6+uL48eOKbTk5OUhMTOQYWSIiIqJ3RKV6IpuSkgILCwuIRCIAQFxcHIyNjVVmJzA2NkabNm0QEREBe3t7WFtbK34ump6LiIiIiN5uleqJrI+PD06cOKH4nJaWBgsLCxgZqYYZEhKCtm3bYurUqRg8eDAAYMWKFTA2rlS1ORERERHpSIVWfdHR0Wo/d+3aFV27di32WLFYjAkTJmDChAk6i4+IiIiIKq9K9USWiIiIiEhTLGSJiIiIyCBxQCkRERGVS2HKM8jTyz/3udwiXwvR0LuEhSwRERGVizw9FZI1s8vdj3D8eC1EQ+8SFrJEREREOpSYkYsnWdJy9+NkYYpa1iItRPT2YCFLREREpENPsqQYvO92ufvZ0rMxC9n/4MteRERERGSQ+ESWiIjeanwRiejtxUKWDA7/UiKisuCLSERvLxayZHD4lxIRkXZo6yWkpgUyLURDVHYsZImIKgi/XaCKpq2XkM55i1hQUIXgfUdEVEH47QIRUfmwkCWiYvFpIRERVXYsZImoWHxaSBWN4zeJqDSC9PR0eUUHoS82NjYVHQIRERERaSg9PV3tfi6IQEREREQGiYUsERERERkkFrJEREREZJDeqZe9ShtnoQ0F/8Zq7QWZZzdWlrsfWdNgbDuyrlx9DO4xDvVqupQ7luikl9qbr3BjeLn7qUw5Bpjn0lSme1lrLyFlPoRs/dxy91OZcgzwXlaHOVaP97J6lSnP1VtPgdjOtdyxlNc7VcgSEWkDJ5EnIqocOLSAiIiIiAwSC1kiIiIiMkgsZImIiIjIIJVpeFZcXBweP36M7OxsWFtbw8nJCXXr1tVRaPrFFWSIiIiIDEuphezz58+xY8cOHDt2DOnp6ZDL/28hMIFAAEdHR3Tu3Bn9+/eHvb29xieWSqUYOHAgxo0bB09Pz2LbfPfdd/jzzz+Vti1cuBAdOnQAAERFRSEiIgLPnz9H69atERoaCltbW41jeB1f3iAiIiIyLCXWXIWFhdi4cSN++OEHODk5oVevXmjSpAmcnJwgFovx8uVLPHv2DDExMTh//jx2796Nfv36YdiwYTA2Vl/K5eXlYdq0aYiPj1fbLiEhAXPnzkWLFi0U26ysrAAAsbGxmDVrFiZNmgQXFxcsXboUYWFhWLmy/NN2EBEREVHlV2LFOXjwYDg4OCAyMhJNmjQptk2TJk3QsWNHAMCVK1ewbds2DB48GD/88EOJJ4yPj8e0adOUnuwWJysrC8nJyWjatGmxT3p/+eUXdOzYEX5+fgCAsLAw9OjRA4mJiahVq5bavomIiIjI8JVYyAYGBuLDDz/UuKNWrVqhVatWOH/+vNp2MTExaN26NYYPH4727duX2C4hIQFmZmaoXr16sftv3bqFAQMGKD47OjrCyckJN2/eZCFLRERE9A4osZAtSxH7unbt2qnd7+/vr1E/CQkJsLCwwNSpUxETEwNHR0cMGzZM0X9qaqrKk1pbW1skJye/UdxEREREZFgq7XtJ9+/fh0QiQfv27TF48GCcPn0a48ePx8aNG+Hm5obc3FyYmpoqHWNiYgKptOSZB+7du1fiPonASitxy2TambVAVqidfgq10I9EIlGbO437YY7VYp7V472spp9KlGOAeVaHOS6lH97LalWmPEskEjzSQm5K07BhQ7X7SyxkW7duDYFAoNFJBAIBLl68WLbISjFy5EgMHjwYlpaWAIBGjRrh9u3b+N///gc3NzeYmpqqFK35+fkQiUQl9qkuGS+SXmolbiMj7UzNayTUTj9CLfQjFotRr6b6G0kTzLF6zLN6vJfV9FOJcgwwz+owx6X0w3tZrcqUZ7FYjIbO5c9NeZVYyA4aNEhtISuVSrFv3z5kZWWVadotTQmFQkURW6Ru3bqKfxlVq1YNqampSvuLG25ARERERG8ntS97leT27duYOXMmsrKy8Mknn2D8+PFaD2zy5MmoWrUqJk2apNh29+5d1KtXDwDg5uaG69evo1evXgCAZ8+e4enTp3Bzc9N6LERERERU+ZRpjGxhYSE2bdqEbdu2wcrKCosWLVI780BZpaSkwMLCAiKRCF5eXggPD4e7uzuaNGmCo0eP4vr165g8eTIAoHfv3hgxYgTc3d3h5uaGJUuWoG3btqhdu7bW4iEiIiKiykvjQjYuLg5hYWG4e/cuunTpgokTJ8La2lqrwfj4+GD69Onw8/ODr68vsrOzERkZieTkZDRo0AArVqyAs7MzAKB58+YIDQ1FZGQkMjIy4OnpidDQUK3GQ0RERESVV6mFrEwmw7Zt27Bp0yaYm5tj3rx56Ny5s1ZOHh0drfZznz590KdPnxKP9/PzUyyIQERERETvFrWF7P379zFz5kzExsaiY8eOmDRpEqpWraqv2IiIiIiISlRiIbtz506sW7cOZmZmmDFjBrp37w6g5DnMtDUlBBERERGRJkosZFeuXAng1TRbs2bNwqxZs0rsRBfzyBIRERERqVNiITtkyBCNF0QgIiIiItK3EgvZ4cOH6zMOIiIiIqIyKXFg6/nz59+ow7Nnz75xMEREREREmiqxkN2wYQPGjh2LW7duadTR5cuXMWrUKGzcuFFrwRERERERlaTEoQWbNm3Cli1bEBgYiGrVqqFz585o0qQJatSoAZFIhKysLDx79gwxMTG4cOECnj9/jq+++goBAQH6jJ+IiIiI3lElFrJCoRBDhw5Fr169sHPnThw6dAjbt29XegFMLpejRo0a6Ny5M/r16wc7Ozu9BE1EREREVOrKXvb29hgzZgzGjBmDhIQEPH78GFlZWbCxsYGTkxNq166tjziJiIiIiJSUWsi+rl69eqhXr56uYiEiIiIi0pjGhWxiYiLOnj0LiUQCuVyutE8gEGDIkCFaD46IiIiIqCQaFbJHjx7FzJkzS1yeloUsEREREembRoXs5s2b4e7ujmnTpsHR0ZErfhERERFRhdOokH38+DGCg4NRs2ZNXcdDRERERKSREhdEeF3NmjXx4sULXcdCRERERKQxjQrZwYMHY9OmTXjw4IGu4yEiIiIi0ohGQwsOHjyIjIwM9O3bF5aWlhCJREr7BQIB9u/fr5MAiYiIiIiKo1Eh6+DgAAcHB13HQkRERESkMY0K2enTp+s6DiIiIiKiMinTyl5nz57F1atXkZmZCRsbG3h4eKBdu3acjouIiIiI9E6jQjYvLw8hISGIjo6GkZERbGxskJ6ejh07dqBFixZYsWIFTE1NdR0rEREREZGCRrMWrF+/HjExMZg+fTrOnTuHI0eO4OzZs5g2bRpiY2OxceNGXcdJRERERKREo0I2KioKQ4cOha+vL4RCIQDA2NgYvr6+CAgIwPHjx3UaJBERERHRf2k0tCAjIwONGjUqdl+jRo2QkpJS5hNLpVIMHDgQ48aNg6enZ7FtoqKisGnTJjx+/BjOzs4IDAyEl5cXAEAmk8Hb2xt5eXlKx5w8eRKWlpZljoeIiIiIDItGhayzszOuXbuGDz/8UGXf1atX4ejoWKaT5uXlYdq0aYiPjy+xzbVr1zBjxgxMnDgRrVq1woULFzBx4kRs3boVLi4uSEpKglQqxb59+2BiYqI4zsLCokyxEBEREZFh0qiQ9ff3x9KlSyESifDxxx/Dzs4OqampOHr0KHbu3Inhw4drfML4+HhMmzYNcrlcbbtDhw6hU6dO6NWrFwCgb9++OHfuHKKiouDi4oKEhARUr14dTk5OGp+biIiIiN4eGheyt2/fxvr16xEZGanYLpfL4evri2+++UbjE8bExKB169YYPnw42rdvX2K7Pn36wNhYNTypVAoASEhIQO3atTU+LxERERG9XTQqZI2MjPD999+jf//+inlkrays0LJlS9SrV69MJ/T399eo3X/H5MbFxeHy5cuK4+Pj45GTk4Phw4cjMTERLi4uCA4ORp06dcoUDxEREREZpjItiFC/fn3Ur19fV7GUKC0tDRMnToSHhwe8vb0BAPfv34dEIsGECRNQpUoVbNu2DYGBgfj1119LHCd77969Es8hEVhpJVaZTKadfgq100+hFvqRSCRqc6dxP8yxWsyzeryX1fRTiXIMMM/qMMel9MN7Wa3KlGeJRIJHWshNaRo2bKh2f4mFbI8ePbBw4UK4urrCz89P7epdAoEA+/fvf/Mo1Xj27BlGjx4NoVCI8PBwGBm9mjEsMjISMpkMYrEYADB79mz06NEDZ86cga+vb7F9qUvGi6SXWom3KL5y9yPUTj9CLfQjFotRr6b6G0kTzLF6zLN6vJfV9FOJcgwwz+owx6X0w3tZrcqUZ7FYjIbO5c9NeZVYyH7wwQeKaaw++OCDClmGNikpCUFBQRCJRIiIiICNjY1in5mZmVJbMzMz1KhRA8+fP9dzlERERERUEUosZKdPn674ecaMGXoJ5nUZGRkYNWoULCwssGbNGqUitqCgAD179sSYMWPQrVs3AEBOTg4SExM5RpaIiIjoHVFiIVvWcRjaeNydkpICCwsLxRPY9PR0LFiwAAUFBYpFF0QiESwsLNCmTRtERETA3t4e1tbWip+LFkwgIiIiordbiYXshx9+qPFwAoFAgIsXL5Y7GB8fH0yfPh1+fn44efIksrOzMWDAAKU23bt3x6xZsxASEoLVq1dj6tSpyM7OhqenJ1asWFHslF1ERERE9PYpseobMmSIzsfFRkdHl/g5KipK7bFisRgTJkzAhAkTdBIbEREREVVuJRayZVmti4iIiIhI30osZJOSksrUUc2aNcsdDBERERGRpkosZP39/cs0tODSpUtaCYiIiIiISBMlFrLTpk3TZxxERERERGVSYiHr5+enzziIiIiIiMqkxEJ2//798PLyQtWqVUtdflYgEKBHjx5aD46IiIiIqCQlFrJz587Fhg0bULVqVcydO1dtJyxkiYiIiEjfSixk9+7dC3t7e8XPRERERESVSYmFrJOTU7E/ExERERFVBqWu53r//n0AQN26dQEA//77L9avX4+HDx+idu3a+Prrr9G8eXNdxkhEREREpKLEQjYzMxMTJ07EtWvXAAAffPABQkJC8O2330IgEMDZ2RnR0dG4cOECVq9ejRYtWugtaCIiIiKiEgvZdevWIT4+HpMnT4aVlRW2bNmCb7/9FvXr18fKlSshFouRmZmJ0aNHY+vWrSxkiYiIiEivjEracfbsWQwbNgy9evVCp06dMHXqVLx48QL9+vWDWCwGAFhaWmLAgAH4559/9BYwERERERGgppBNTU1FnTp1FJ/r1asHAHBwcFBqZ29vj8zMTB2FR0RERERUvBIL2YKCApiZmSk+GxsbK/33dXK5XAehERERERGVrMRCloiIiIioMlM7/dY///yDvLw8AK+eugoEAsTGxioNJYiLi9NthERERERExVBbyC5btkxl2MCCBQsUPwsEAkWBS0RERESkTyUWshEREfqMg4iIiIioTEosZFu2bKnPOIiIiIiIyoQvexERERGRQWIhS0REREQGiYUsERERERmkCitkpVIpvvzyS0RHR5fY5u7duwgICICXlxcGDhyI2NhYpf1RUVHw9/eHl5cXQkJCkJaWpuuwiYiIiKiSqJBCNi8vD99//z3i4+NLbCORSDB27Fi4ublh+/bt8PDwQHBwMLKzswEAsbGxmDVrFgICArB582ZkZ2cjLCxMT1dARERERBVN7TyyReRyOfbv34+zZ89CIpFAJpMp7RcIBFi7dq1GJ4yPj8e0adNKXdY2KioKxsbGGDt2LIyMjBAcHIzz588jKioKvXr1wi+//IKOHTvCz88PABAWFoYePXogMTERtWrV0igWIiIiIjJcGj2RjYiIwLx583D37l3k5eWhoKBA6Vd+fr7GJ4yJiUHr1q2xefNmte1u3bqF5s2bw8joVYgCgQDNmzfHzZs3FftbtGihaO/o6AgnJyfFfiIiIiJ6u2n0RPbgwYPw9/fHpEmTyn1Cf39/jdqlpKSgTp06SttsbW1x9+5dAEBqairs7e1V9icnJ5c7RiIiIiKq/DQqZDMzM9GxY0ddx6IkNzcXJiYmSttMTU0VT39zc3NhamqqtN/ExARSqbTEPu/du1fiPonAqhzR/p//Drt4434KtdNPoRb6kUgkanOncT/MsVrMs3q8l9X0U4lyDDDP6jDHpfTDe1mtypRniUSCR1rITWkaNmyodr9Ghayrqyvu3LkDT09PrQSlCTMzM5UhC1KpFCKRCMCrova/RWt+fr5if3HUJeNF0styRPt/ioZClLsfoXb6EWqhH7FYjHo11d9ImmCO1WOe1eO9rKafSpRjgHlWhzkupR/ey2pVpjyLxWI0dC5/bspLo0J23LhxmDhxIszNzeHu7l5ssVizZk2tBlatWjWkpqYqbUtNTYWdnZ3a/f8dbkBEREREbyeNCtnBgwdDLpdjwYIFEAgExba5dOmSVgNzc3PD5s2bIZfLIRAIIJfLcfPmTXz99deK/devX0evXr0AAM+ePcPTp0/h5uam1TiIiIiIqHLSqJCdOnWqruMA8OoFLwsLC4hEInTq1Alr1qzB4sWL0bt3b+zduxfZ2dno2rUrAKB3794YMWIE3N3d4ebmhiVLlqBt27aoXbu2XmIlIiIiooqlUSFbNFerrvn4+GD69Onw8/ODhYUFli1bhvDwcOzbtw/vvfceli1bBnNzcwBA8+bNERoaisjISGRkZMDT0xOhoaF6iZOIiIiIKl6Jhez+/fvh5eWFqlWrYv/+/Wo7EQgE6NGjR5lP/t/laf/7uUmTJvjhhx9KPN7Pz09vRTYRERERVS4lFrJz587Fhg0bULVqVcydO1dtJ29ayBIRERERvakSC9m9e/cqZgDYu3evvuIhIiIiItJIiYWsk5NTsT8TEREREVUG2plZl4iIiIhIz1jIEhEREZFBYiFLRERERAaJhSwRERERGSSNCtnAwEDExcUVu+/27dvo16+fVoMiIiIiIipNibMWHD58GAUFBQCAq1ev4tixY3B2dlZpd+XKFTx58kR3ERIRERERFaPEQvbevXv48ccfAbxa8GDbtm0ldvLNN99oPzIiIiIiIjVKLGSDgoLQp08fyOVyfPbZZwgPD4erq6tSGyMjI1hYWMDc3FzngRIRERERva7EQtbExESxEEJERARcXFxYsBIRERFRpVFiIfu6li1bIisrC6dOnUJubi5kMplKG19fX60HR0RERERUEo0K2T///BOTJ0+GRCKBXC5X2S8QCFjIEhEREZFeaVTIrlmzBk5OTggODoajoyOMjDj9LBERERFVLI0K2YSEBMybNw8ffPCBruMhIiIiItKIRo9W7e3tIZVKdR0LEREREZHGNCpk+/Tpg23btiErK0vX8RARERERaUSjoQXx8fF4/PgxfHx8ULduXYhEIqX9AoEA69ev10mARERERETF0aiQffToERo2bKjrWIiIiIiINKZRIRsREaHrOIiIiIiIyoTzaBERERGRQdLoiWzPnj0hEAjUttm7d6824iEiIiIi0ohGhay7u7tKIZudnY1bt24BAL744gvtR0ZEREREpIZGheysWbOK3Z6bm4vg4OAynVAqlWLx4sU4efIkTExM0L9/fwwcOFCl3YgRI3D16lWV7a1atUJERARkMhm8vb2Rl5entP/kyZOwtLQsU0xEREREZHg0KmRLIhKJ0K9fPyxcuBBDhgzR6JiVK1fixo0bWL16NZKTkxEWFobq1aujW7duSu0WLFiA/Px8xef4+HiMGTMG/fv3BwAkJSVBKpVi3759MDExUbSzsLAozyURERERkYEoVyELAHl5ecjIyNCorUQiwb59+7BkyRK4urrC1dUVAwYMwK5du1QKWWtra8XPcrkcISEh8PX1hZeXF4BXy+ZWr14dTk5O5b0EIiIiIjJAGhWyf/31l8o2mUyGp0+fYvPmzXBzc9PoZPfu3YNUKoW7u7tim4eHBzZv3oyCggIYGxcfzvHjx/HgwQMsWbJEsS0hIQG1a9fW6LxERERE9PbRqJAdNWoUBAIB5HI5ACj9XL16dY3HyaakpMDKygpmZmaKbba2tsjPz0d6ejrs7e2LPW7r1q3w9/eHnZ2dYlt8fDxycnIwfPhwJCYmwsXFBcHBwahTp45GsRARERGRYSvXgggWFhZo2LBhqVNzFcnNzYWpqanStqLPUqm02GNiYmJw//59LF++XGn7/fv3IZFIMGHCBFSpUgXbtm1DYGAgfv311xLHyd67d6/E2CQCK42uoTQymUw7/RRqp59CLfQjkUjU5k7jfphjtZhn9Xgvq+mnEuUYYJ7VYY5L6Yf3slqVKc8SiQSPtJCb0pS2sqxGhWzLli21EoypqalKwVr0WSQSFXtMVFQU3n//fTg6Oiptj4yMhEwmg1gsBgDMnj0bPXr0wJkzZ+Dr61tsX+qS8SLppcbXoY6RkXbWmDASaqcfoRb6EYvFqFez/EsUM8fqMc/q8V5W008lyjHAPKvDHJfSD+9ltSpTnsViMRo6lz835aXxy17379/HunXrcOXKFWRlZcHa2hoeHh4YNmwYGjRooFEfDg4OyMzMRH5+vmKmgdTUVJiamsLKqvh/rVy8eBEDBgxQ2f768ISizzVq1MDz5881vSQiIiIiMmAaleRxcXEYPHgwrly5Ai8vLwwYMABt2rTB5cuXERAQgLi4OI1O1qhRI5iYmODGjRuKbdevX0fjxo2LfdErPT0djx49UnkiXFBQAF9fXxw/flyxLScnB4mJiRwjS0RERPSO0OiJ7OrVq+Hk5IT169crLTaQmZmJESNGYN26dVi0aFGp/YhEIvj4+GDhwoWYPn06UlNTsWPHDoSGhgJ49TKYhYWFYphBXFwcjI2NVWYnMDY2Rps2bRAREQF7e3tYW1srfi6anouIiIiI3m4aPZGNiYnB4MGDVVbMsrS0xDfffINr165pfMLg4GC4uroiKCgI8+fPx9ChQ9G1a1cAgI+PD06cOKFom5aWBgsLi2LHhISEhKBt27aYOnUqBg8eDABYsWJFiVN4EREREdHbRaOqz8TEpMQC0cTERGkFrtKIRCKEhYUhLCxMZV90dLTS565duyqK3P8Si8WYMGECJkyYoPG5iYiIiOjtodET2SZNmmD37t0q0z7IZDL8+uuvaNKkiU6CIyIiIiIqiUZPZL/99lsMHToUX375JTp37gw7Ozukpqbi5MmTePToEVavXq3rOImIiIiIlGhUyLq6umLFihVYs2YNtmzZArlcDoFAoNiurXlmiYiIiIg0pfGbUe+//z62bNmC3NxcZGZmwtLSssRFDIiIiIiIdE3jQjY3NxcPHjzAy5fFr07xwQcfaC0ofSsoKIA1cjHpfTsYabbabsl9WQpR6PdVuWMSCG1hWvfLcvcjN7FBl1a9S28nlyFXKsHVu2chkWaX+7xEREREuqZRIfvXX3/h+++/R0ZGBuRyuWK7QCBQDDO4dOmSzoLUpYKCAmRmZqKmvS1ampiXu7+qlgIIBFp4+c3OEQVVyllVA5CLHCEw1mwpOrlcDlsrB5y4/BuLWSIiIqr0NCpkly1bBmtra0ycOBE2NjYQCMpfYFUW2dnZsLGxQU6+rPTGbzmBQAAnx5po2cgL528drehwiIiIiNTSqJBNTEzErFmz0LFjR13HUyHepsK8vAQCAUSm4ooOg4iIiKhUGn3nXLduXWRn86vmd4VAoNlQBCIiIqKKpFHFMnLkSGzatAmXLl1CdnY2ZDKZyi8iIiIiIn3SaGiBk5MTjIyMMHbs2GL3CwQCXLx4UZtxERERERGppVEhO3v2bKSnp6Nnz56wt7fXdUyVQqFMjjRJfpmPy84DkF/22Q+cRALULMwq0zHpGS/xw097cfZ8NFLT0uHoYI+undqhf5+eMDMzVWqbn5+P8WMmYcjwQXD3aF7m+IiIiIgqG40K2Tt37uD777/Hxx9/rOt4Ko00ST5GHbmnt/Nt7l4HNU00b5+S+gIjg2fA0cEOU0ICUd2xGuLiH2LDlp9x8c9rWLl4BkQiMwCAVCrF0kUrkPgwUUfRExEREemfRoWsg4MDTE1NS29IerMqYhvsbG2wdMH3MBYKAQBO1R3g3twVA4eOx9adv2HEkP64n3Af02fMAOSldEhERERkYDR62WvQoEFYv3494uLidB0PaSDjZSbOnIvG1/0+UxSxRSwtzPGFvw8OHT2FwkIZrt+4AY8W7pi/eG4FRUtERESkGxo9kT127BiSk5Px1VdfoUqVKqhSpYrK3KsHDhzQSYCk6s7deBQWFqKpa8Ni97s3c0XEhp14/OQZevb8FKkZz/UcIREREZHuaTy0wMHBocT9mZmZWguISpfx8lW+q1QRFbvfytJC0c5Zb1ERERER6ZdGhez06dOL3X779m3s3r0b0dHRWg2K1CsqVJ+npMGpuuo/MLL+/+IV5lW4QhcRERG9vTQqZF+Xl5eHqKgo/Pbbb/jnn38gl8vRvDmnc9Inl0b1IRQKcftOXLGF7M2/70AsFqFWrRoVEB0RERGRfmhcyD548AB79uzBoUOHkJWVBUdHRwwePBi+vr5wduYX2PpkY20F7488sXXnHni1+wDGxsY4GnUGB4+cwpBv+mDXniP4pJs3jIVCTlZAREREby21sxYUFhbi999/x8iRI9G3b1/s2bMHrVq1AvBqkYRvv/2WRWwFGR00CHl5eRg/ZR6uXY+Fq8t7qFJFjNEhM5Gdk4Ohg/pWdIhEREREOlXiE9nIyEjs27cPKSkpaNy4McaPH4/u3btDKBSiY8eO+oyxQtiKTbD6k+JnBVCnijGAfGmZj3MSCYBCzdvb2dpg/aq52LbjN8xbtBZpaemwt7fFF/4+iLkRiwmh4ZgSEojajRzLHAsRERGRISixkN20aRPee+89hIeHK42BlUgkegmsogmNBKhmXvZFIBpbCiBIeVH2E5ahiC1ibWWJ0UGDMDpokNL2goICHD52WrGyV5H/HdxV9pMQERERVVIlDi3o2bMnnjx5ghEjRiAoKAgHDx5Ebm5uuU8olUoxb948dO7cGd27d8f27dtLbPvdd9/B09NT6dfp06cV+6OiouDv7w8vLy+EhIQgLS2t3PG9DYyNjfGpbxc4OthXdChEREREOlPiE9nQ0FCMGzcOJ06cwIEDBzB79mwsWbIEXl5eKoshlMXKlStx48YNrF69GsnJyQgLC0P16tXRrVs3lbYJCQmYO3cuWrRoodhmZWUFAIiNjcWsWbMwadIkuLi4YOnSpQgLC8PKlSvfODYiIiIiMhxqZy0QiUTw8/ODn58fEhMTsX//fhw+fBhyuRzTpk1Dt27d0LVrVzRq1Eijk0kkEuzbtw9LliyBq6srXF1dMWDAAOzatUulkM3KykJycjKaNm0Ke3vVJ4u//PILOnbsCD8/PwBAWFgYevTogcTERNSqVUvT6yciIiIiA6V21oLX1apVCyNHjsSBAwewZMkSNGrUCD/++CMGDhyIvn01e0P+3r17kEqlcHd3V2zz8PBAbGwsCgoKlNomJCTAzMwM1atXL7avW7duKT2pdXR0hJOTE27evKnpJRERERGRASvzgghGRkb46KOP8NFHH+HFixc4dOgQDhw4oNGxKSkpsLKygpnZ/72EZGtri/z8fKSnpys9eU1ISICFhQWmTp2KmJgYODo6YtiwYWjXrh0AIDU1VeVJra2tLZKTk8t6SURERERkgMpcyL6uatWqGDBgAAYMGKBR+9zcXJiaKs8EUPRZKlWesur+/fuQSCRo3749Bg8ejNOnT2P8+PHYuHEj3Nzciu3LxMREpZ/X3bt3T2WbSCSCmZkZZBBqdA2l0tYKBFpbyaD8HUkkkmJzV+Z+BFbl7gMAZDKZdvop1E4/hVrqh3lWTxt5Zo7V471cSj9ayA9zXEo/vJfVqkx5lkgkeKSF3JSmYUP1U6GWq5AtK1NTU5VCs+izSCRS2j5y5EgMHjwYlpaWAIBGjRrh9u3b+N///gc3N7di+8rPz1fp53XFJSMjIwMikQiF0jeY/6o4b/4enG760UJHYrEY9WqWfU7d/3qR9LLcfQCvvhXQSj9C7fQj1FI/zLN62sgzc6we7+VS+tFCfpjjUvrhvaxWZcqzWCxGQ+fy56a8tJMRDTk4OCAzMxP5+fmKbampqTA1NVXMRlBEKBQqitgidevWVQwdqFatGlJTU5X2FzfcgIiIiIjeTnotZBs1agQTExPcuHFDse369eto3LgxjI2VHw5PnjwZCxYsUNp29+5d1K1bFwDg5uaG69evK/Y9e/YMT58+hZubm+4ugIiIiIgqDb0OLRCJRPDx8cHChQsxffp0pKamYseOHQgNDQXw6mUwCwsLiEQieHl5ITw8HO7u7mjSpAmOHj2K69evY/LkyQCA3r17Y8SIEXB3d4ebmxuWLFmCtm3bonbt2lqJtXreC5hkln2FLvkLQP4GS9QKLK0gMCrbON30jJf44ae9OHs+Gqlp6XB0sEfXTu3Qv09PmJm9Gj+clJSEJUuW4p/Y2xCJzNDOqy2+GthPZXwxERERkaHRayELAMHBwZg/fz6CgoJgbm6OoUOHomvXrgAAHx8fTJ8+HX5+fvD19UV2djYiIyORnJyMBg0aYMWKFXB2dgYANG/eHKGhoYiMjERGRgY8PT0VBbE2mGS+gNGGeWU+7k3XPhMNCYHAuqrG7VNSX2Bk8Aw4OthhSkggqjtWQ1z8Q2zY8jMu/nkNKxfPgFAoxORJoahRszrCF89BRnoGVq+IAAAMHvrNG0ZKREREVDnovZAViUQICwtDWFiYyr7o6Gilz3369EGfPn1K7KtosYZ30aqIbbCztcHSBd/DWPjqSa5TdQe4N3fFwKHjsXXnb2jbuiWSkpIQvng2xGIxatVyRv8BfbFl4zYWskRERGTw9DpGlrQj42UmzpyLxtf9PlMUsUUsLczxhb8PDh09Beea1bFw0XyIxWLFfoFAgPz8gv92SURERGRwWMgaoDt341FYWIimrsVPe+HezBXp6S+RnS3B+++/r9guk8lw+OBRNGnaWF+hEhEREekMC1kDlPEyEwBQpUrxc+ZaWVootSuyZeM2xMcnYMA3X+k2QCIiIiI9YCFrgIoK1ecpacXuz8rOBgCYV3k1pEAul2Pj+s04cugYxk0Yi9p1auknUCIiIiIdYiFrgFwa1YdQKMTtO3HF7r/59x2IxSLUqlUDMpkMq1esxbEjxzF+UjBat/lAz9ESERER6QYLWQNkY20F7488sXXnHhQUvHpx62jUGYwaF4Zr12Oxa88RfNLNG8ZCIdasXos/Tp/DxNAJ+LBt64oNnIiIiEiLWMgaqNFBg5CXl4fxU+bh2vVYuLq8hypVxBgdMhPZOTkYOqgv/o69i127duPLr/rgvYb18eLFC8UvIiIiIkOn93lkDUW+ZVWYDCv7AgtVhADecGWvsrCztcH6VXOxbcdvmLdoLdLS0mFvb4sv/H0QcyMWE0LDYW9vCwDYse1H7Nj2o9Lxu/f9DKGwbCuJEREREVUmLGRL8NSsKmCm+UpbRRpbCiBIeaqDiFRZW1lidNAgjA4apLS9oKAAh4+dRusPPDB73gKkZjzXSzxERERE+sRC9i1kbGyMT327AADkFRwLERERka5wjCwRERERGSQWskRERERkkFjIEhEREZFBYiFLRERERAaJhSwRERERGSQWskRERERkkFjIEhEREZFBYiFLRERERAaJCyKUoJpRBoT5aWU+TpoFQFj2JWqNja0gzCvbvyvSM17ih5/24uz5aKSmpcPRwR5dO7VD/z49YWZmCgB48OABFi1ajLt37sLS0hKf+HXHZ717ljk+IiIiosqGhWwJhPlpyLy2sMzHZb7h+Rw9xkIIG43bp6S+wMjgGXB0sMOUkEBUd6yGuPiH2LDlZ1z88xpWLp4BY2MhJkyYhCZNXTFi5DA8evQYyxatgK2tLbw7er1hpERERESVAwtZA7UqYhvsbG2wdMH3MBYKAQBO1R3g3twVA4eOx9adv6Gnbxe4urpieOAQmJmZwamGE5p7NMPft/5mIUtEREQGj2NkDVDGy0ycOReNr/t9pihii1hamOMLfx8cOnoKDtXsMXPmDJiZmUEul+Of2NuI/fsfNHdvVkGRExEREWkPC1kDdOduPAoLC9HUtWGx+92buSI9/SUeP3mm2Db0m28ROnEaXFwa4cN2bfQVKhEREZHOsJA1QBkvX43ErVJFVOx+K0sLpXYAMGXaJEyZNhHxcfHYsnGb7oMkIiIi0jG9j5GVSqVYvHgxTp48CRMTE/Tv3x8DBw4stm1UVBQ2bdqEx48fw9nZGYGBgfDyejW2UyaTwdvbG3l5eUrHnDx5EpaWljq/jopUVKg+T0mDU3UHlf1Z2dkAAPMqYsW29xo2ANAAeblSrFy2Gt8EfA0TExO9xEtERESkC3ovZFeuXIkbN25g9erVSE5ORlhYGKpXr45u3boptbt27RpmzJiBiRMnolWrVrhw4QImTpyIrVu3wsXFBUlJSZBKpdi3b59SQWZhYaHvS9I7l0b1IRQKcftOXLGF7M2/70AsFkEsFuHcufNwbdZIsa9WbWcUFBRAkiOBiTULWSIiIjJceh1aIJFIsG/fPowbNw6urq7w9vbGgAEDsGvXLpW2hw4dQqdOndCrVy/UqlULffv2xfvvv4+oqCgAQEJCAqpXrw4nJyfY29srfgkEAn1eUoWwsbaC90ee2LpzDwoKCgAAR6POYNS4MFy7Hotde47gk27eeJT0BNO+n4b09AzFsXH/xsPK2gpW1lYVFD0RERGRdui1kL137x6kUinc3d0V2zw8PBAbG6soyIr06dMHAQEBKn1Ipa8WG0hISEDt2rV1G3AlNjpoEPLy8jB+yjxcux4LV5f3UKWKGKNDZiI7JwdDB/WFR/MmqFOnLlYtW4PExEf4K/oKfti2E5/38a/o8ImIiIjKTa9DC1JSUmBlZQUzMzPFNltbW+Tn5yM9PR329vaK7Y0aNVI6Ni4uDpcvX4a//6siLD4+Hjk5ORg+fDgSExPh4uKC4OBg1KlTRyuxFprYwrLFxDIfV8UYQP6breyFQs3b29naYP2qudi24zfMW7QWaWnpsLe3xRf+Poi5EYsJoeGYEhKIBQvDsXDhQkwaFwqxWIQen/rC71OfMsdHREREVNnotZDNzc2Fqamp0raiz0VPWouTlpaGiRMnwsPDA97e3gCA+/fvQyKRYMKECahSpQq2bduGwMBA/PrrryWOk713757KNpFIBDMzM8igPB/rc5k1ILQu0/UBQGNzAQSpT8t8nEoRKy/9EGsrS4wOGoTRQYOUthcUFODwsdMQiczg4OiA0OmTyx7PayQSSbG5K3M/Au0MZ5DJZNrpp1A7/RRqqR/mWT1t5Jk5Vo/3cin9aCE/zHEp/fBeVqsy5VkikeCRFnJTmoYNi59qtIheC1lTU1OVgrXos0hU/FRSz549w+jRoyEUChEeHg4jo1ejISIjIyGTySAWv3ozf/bs2ejRowfOnDkDX1/fYvsqLhkZGRkQiUQolJbhcag62hqiW45+jI2N8alvFwCAXAsBicVi1Kup/kbSxIukl+XuA4DiHih3P0Lt9CPUUj/Ms3rayDNzrB7v5VL60UJ+mONS+uG9rFZlyrNYLEZD5/Lnprz0OkbWwcEBmZmZyM/PV2xLTU2FqakprKxU/7WSlJSE4cOHAwAiIiJgY2Oj2GdmZqYoYos+16hRA8+fP9fdBRARERFRpaHXQrZRo0YwMTHBjRs3FNuuX7+Oxo0bw9hY+eFwRkYGRo0aBQsLC6xfvx52dnaKfQUFBfD19cXx48cV23JycpCYmKi1MbJEREREVLnpdWiBSCSCj48PFi5ciOnTpyM1NRU7duxAaGgogFcvg1lYWEAkEiEiIgLp6elYsGABCgoKkJKSoujDwsICbdq0QUREBOzt7WFtba34uWjBBCIiIiJ6u+l9QYTg4GDMnz8fQUFBMDc3x9ChQ9G1a1cAgI+PD6ZPnw4/Pz+cPHkS2dnZGDBggNLx3bt3x6xZsxASEoLVq1dj6tSpyM7OhqenJ1asWKHyZJeIiIiI3k56r/pEIhHCwsIQFhamsi86Olrxc9HCByURi8WYMGECJkyYoO0QiYiIiMgA6HWMLBERERGRtrCQJSIiIiKDxEKWiIiIiAwS34wqgVj+EhLJizIf9zBP8EZL1FqLLGFTxjUZ0jNe4oef9uLs+WikpqXD0cEeXTu1Q/8+PWFmZqrSfs3KCDx5/BRz5s8sc3xERERElQ0L2RJIJC/w69EVejvfoG5BsDGx1Lh9SuoLjAyeAUcHO0wJCUR1x2qIi3+IDVt+xsU/r2Hl4hkQicwU7W/E3MSJ47+jqVsTXYRPREREpHccWmCgVkVsg52tDZYu+B4t3JvCqboDPmr7PlYvm4nnKWnYuvM3Rdvc3FysXb0ejZu4VGDERERERNrFQtYAZbzMxJlz0fi632cwFgqV9llamOMLfx8cOnoKhYUyAMDO7T/BrVkTuDVrWhHhEhEREekEC1kDdOduPAoLC9HUtWGx+92buSI9/SUeP3mGW7f+xoVzFzFoyEA9R0lERESkWxwja4AyXmYCAKpUERW738rSAsCrcbRLVm1FwPDBsLCw0Ft8RERERPrAJ7IGqKhQfZ6SVuz+rOxsAMCu/x2Gcy1ntPvoQ73FRkRERKQvfCJrgFwa1YdQKMTtO3Fwqu6gsv/m33cgFovwb9x9pKalo9/nAwAABQUFkMlk6Pf5APy0e4e+wyYiIiLSKhayBsjG2greH3li68498Gr3AYyNjXE06gwOHjmFId/0wa49R/BJN2/0+6IH8oU2SM989eR2/75DiLsXh+CQ0RV8BURERETlx6EFBmp00CDk5eVh/JR5uHY9Fq4u76FKFTFGh8xEdk4Ohg7qi+qO1eDs7AynGk5wquEECwtzmJqawqmGU0WHT0RERFRufCJbArG4Kvp0H1Pm46oI33xlL5RhZS87WxusXzUX23b8hnmL1iItLR329rb4wt8HMTdiMSE0HFNCAlG7kWOZYyEiIiIyBCxkSyARWAFVrMp8XG1LAQQpT8t+wjIuTwsA1laWGB00CKODBiltLygowOFjp5VW9gKAr77uV/aTEBEREVVSLGTfQsbGxvjUtwsAQF7BsRARERHpCsfIEhEREZFBYiFLRERERAaJhSwRERERGSQWsqRCLufIWiIiIqr83vlC1tjYGNnZ2Sze8KqAzcrKRNLzhIoOhYiIiKhU7/ysBebm5sjLy8ODlBe4lvQSAkH5+nN0FEJwL7bccQmMgdwXt8vdj9wGiE+6V3o7yJGfL8U/D67gecaTcp+XiIiISNfe+UIWAMzMzJAOM8y/nFruvny9RTA+uLPc/QhdxuPl/Z/L3Y+saTBOXPmt3P0QERERVTZ6H1oglUoxb948dO7cGd27d8f27dtLbHv37l0EBATAy8sLAwcORGys8pPOqKgo+Pv7w8vLCyEhIUhLS9N1+ERERERUSei9kF25ciVu3LiB1atXY8qUKdiyZQuOHz+u0k4ikWDs2LFwc3PD9u3b4eHhgeDgYGRnZwMAYmNjMWvWLAQEBGDz5s3Izs5GWFiYnq+GiIiIiCqKXgtZiUSCffv2Ydy4cXB1dYW3tzcGDBiAXbt2qbSNioqCsbExxo4di3r16iE4OBgWFhaIiooCAPzyyy/o2LEj/Pz80LBhQ4SFheHSpUtITEzU5yURERERUQXRayF77949SKVSuLu7K7Z5eHggNjYWBQUFSm1v3bqF5s2bw8joVYgCgQDNmzfHzZs3FftbtGihaO/o6AgnJyfFfiIiIiJ6uwnS09P1Nu/U77//jvDwcMVTVQBISEhA3759cfjwYdjb2yu2jxs3DnXq1MGYMWMU21atWoW7d+9i1apV6NChA2bPng0vLy/F/sGDB8Pb2xuDBg3Sy/UQERERUcXR6xPZ3NxcmJqaKm0r+iyVSlXampiYqLTNz88vsS8TExOVfoiIiIjo7aTXQtbU1FSl0Cz6LBKJlLabmZkpitbX2xa1K66v/Px8lX6IiIiI6O2k10LWwcEBmZmZSgVqamoqTE1NYWVlpdS2WrVqSE1Vntc1NTUVdnZ2ave/PjyBiIiIiN5eei1kGzVqBBMTE9y4cUOx7fr162jcuDGMjZXXZnBzc8ONGzcUS8fK5XLcvHkTzZo1U+y/fv26ov2zZ8/w9OlTuLm56eFKiIiIiKii6bWQFYlE8PHxwcKFC/H333/jjz/+wI4dO9C3b18AQEpKCnJzcwEAnTp1gkQiweLFixEfH49ly5YhOzsbXbt2BQD07t0bx44dw969e/Hvv/8iLCwMbdu2Re3atfV5SaV69OgRxo0bh86dO8PPzw/Lly9HXl4eAODJkyf47rvv0L59e/Tp0wcXLlwoto8jR45g2LBhJZ7jyJEj8PT01En8hkBXOX7+/Dk8PT2VfnXq1Enn11MZ6fI+3rdvH3r16gVvb2+MGTMGT58+1em1VGa6yPPjx49V7uOiX4cOHdLLdVUmurqX5XI5NmzYAD8/P3Tu3BmTJ09W+dbwXaKrPBcUFCAiIgJ+fn7o0qULwsPDFXXDu6Y8Of7ll1/Qu3dveHt7IyAgQOkBY9F+Pz8/dOjQAbNmzYJEItHbdZWV3hdECA4OhqurK4KCgjB//nwMHTpUUZz6+PjgxIkTAAALCwssW7YMN27cwMCBA3Hjxg0sW7YM5ubmAIDmzZsjNDQUmzdvxpAhQ2BhYYEZM2bo+3LUys/Px/jx42FqaoqNGzdi1qxZOHPmDCIiIiCXyxESEgJra2ts3boVvr6+mDRpEpKSkpT6uHz5MsLDw0s8R1paGpYuXarrS6m0dJnjhIQE2Nra4vDhw4pfu3fv1telVRq6zPHp06exaNEijBgxAtu2bYNMJsO0adP0dWmViq7y7OjoqHQPHz58GL1790bNmjXh7e2tz0uscLq8l//3v/9h7969mDlzJiIjI5Gamoo5c+bo69IqFV3mOTIyEnv27MHEiROxbt06PHz48J38M6M8OT5y5AjWrVuHoKAg7NixA61atcKYMWOQnJwMADh16hTWrVuHiRMnYu3atYiNjcXy5csr8GrVMy69iXaJRCKEhYUVuwpXdHS00ucmTZrghx9+KLEvPz8/+Pn5aTtErfn777+RmJiILVu2oEqVKqhXrx6+/fZbLF++HO3atcPDhw8RGRkJc3Nz1K9fH9HR0di/fz8CAwMBABs2bMC2bdtQq1atEs+xePFi1K1bV2mYxbtElzlOSEhA3bp13/lx17rM8datW9G/f390794dABASEoLRo0cjIyMD1tbWer3OiqarPAuFQqV7+O7du9i7dy/Wrl0LCwsLvV5jRdPlvXzhwgV07twZrVq1AgAMHDgQoaGher2+ykKXed61a5fiSSMAzJo1C35+fnjw4AHq1Kmj1+usSOXJ8cGDB/H555+jc+fOAICRI0fi999/x9mzZ9G7d2/89NNP6NOnjyLHkydPxqhRozBmzBhUqVKlIi+7WHp/IvsuqVOnDpYvX670Gy8QCJCfn49bt26hUaNGiifMAODu7q60oMPVq1excuVKdOzYsdj+T58+jbi4uHd63lxd5jg+Pv6d+oOxJLrKcXZ2NmJjYxV/mBada9++fe9cEQvo/s+LIqtWrULHjh2VFpR5V+gyx9bW1rhw4QKePXuG3NxcHDt2DI0bN9btBVVSusrzixcvkJ2drXhXBnj14nfVqlXfucWQypPjESNGoFevXkr9CQQCSKVSFBYW4p9//lH688HNzQ2FhYW4c+eObi/qDen9iey7pGrVqkpjV2UyGXbt2gUPDw+kpKSgWrVqSu1tbW0Vj/YBICIiAsCrr1j+KzMzE4sXL8bcuXMVY2LeRbrMcUJCAszMzDBw4ECkpqbCw8MDY8eOVenzbaerHBd9zfXy5UsMHz4cDx8+hLu7OyZMmPBOPgXX5b1cJDY2FtHR0fjpp5+0HL1h0GWOhwwZgpCQEPTo0QNCoRB2dnbYuHGjjq6kctNVni0tLWFsbIzk5GQ0bNgQAJCTk4OMjAykp6fr6Goqp/Lk+PV/CADAxYsX8fDhQ7Ro0QKZmZnIy8tTOt7Y2BjW1tZKv0eVCZ/I6tHy5ctx584dBAUFlbrggyZ9tW/fXmm5X9Juju/fv4/c3FyEhIRgzpw5SE5OxpgxY1SWU37XaCvHOTk5AIAFCxagX79+WLJkCbKysjBu3DjIZDKdxG5ItHkvF9mzZw/atGmD+vXrazNUg6XNHD979gympqZYuHAhNmzYgHr16mHKlCll/j16G2krz8bGxujUqRPWrl2Lx48fIzc3F0uWLAGAdz7Pb5rjBw8eICwsDD4+PmjcuLHiwdh/jzcxMam0OWYhqwdyuRxLlizBrl27MGfOHDRo0KDUBR/U+fPPPxEdHY2RI0fqKmSDo+0cA8DevXuxZs0aNG/eHC1atMCCBQsQHx+v8nbnu0LbORYKhQCAr7/+Gh07dkTTpk0xe/Zs3LlzB7du3dLJNRgCXdzLAFBYWIjTp0/Dx8dH2yEbHG3nWC6XIywsDF9++SU6dOgANzc3hIeH4/79+/jjjz90dRmVni7u5ZCQENja2uKzzz5Dly5dYG5urvI1+rukPDmOi4tDYGAg6tSpgylTpgD4v9VW/3t8fn4+zMzMdHglb45DC3RMJpNhzpw5OHr0KObNm6d4S7hatWq4d++eUtu0tDTFgg/qHDt2DCkpKYq/kIqeXnl7e2P58uXv3Ng3XeQYgMqgdltbW1hbW+P58+faCdyA6CLHRV9d1a1bV7HN1tYWlpaWePbsmfaCNyC6upcB4ObNm5BIJGjXrp1WYzY0usjxixcv8OTJE6Un3RYWFnB2dlZ5G/9doat72cbGBqtWrUJmZiaMjIxgbm6Ojz/+GE5OTlq/hsquPDmOjY3F6NGj8d5772Hp0qWKItXa2hpmZmZITU1FgwYNALya8iwjI6PSDvniE1kdW758OY4dO4YFCxYoDVx3c3PD3bt3leZmi4mJ0WhBh1GjRuHXX3/Fjh07sGPHDkyePBkAsGPHDri6umr/Iio5XeQ4NTUVHTt2VHqB4NmzZ0hPT1cqvN4Vusixo6MjHBwccPv2bcW2lJQUZGZmvpN/KQG6yXORW7duwcXF5Z2bqeC/dJFja2trmJqa4t9//1Vsy83NxZMnT+Ds7KzdCzAQurqXZ8yYgfPnz8PS0hLm5ua4efMmsrOz0bx5c61fQ2X3pjlOSkrCmDFj0LhxY5UXxoyMjODq6oqYmBjFtps3b0IoFMLFxUX3F/UGWMjq0M2bN/Hzzz9j+PDhcHV1RUpKiuJXy5YtUb16dcycORNxcXHYtm0bbt26pfImYXFsbW1Rq1Ytxa+iJ1u1atUq01eNbwNd5djOzg6NGzfG4sWLcfv2bcTGxiI0NBSenp6V9n9mXdFVjgUCAb766its3LgR586dQ3x8PGbOnAkXFxc0bdpU9xdWyegqz0Xi4uJQr1493V2AAdBVjoVCIXr27Il169bhr7/+QkJCAubMmQNra2t89NFHur+wSkaX97KNjQ0iIiJw9+5d3Lp1CzNmzMAXX3zxzs10Up4cL1y4EGKxGFOmTEFWVpbiuKL3Fj7//HP8+OOPOHXqFGJjY7Fw4UL06NGjUk69BXBogU79/vvvAIA1a9ZgzZo1SvsuXLiAxYsXY86cOfjmm29Qs2ZNLFy4EDVq1KiIUA2WLnM8b948LFu2DN999x0KCgrQvn17jB8/XuvXUNnpMsf9+vWDVCpFeHg4MjMz8cEHH2Dp0qUQCARav47KTtd/XqSlpSm+KnxX6TLHo0ePhlgsxuzZs5GdnQ0PDw+sWbNGMebwXaLLPI8YMQILFy5EYGAgTE1N4efnhxEjRmj9Giq7N81xdnY2Ll68CAD47LPPlI4bPHgwAgMD0a1bNzx58gQLFiyAVCpFhw4dMGbMGP1c2BsQpKenyys6CCIiIiKisuLQAiIiIiIySCxkiYiIiMggsZAlIiIiIoPEQpaIiIiIDBILWSIiIiIySCxkiYiIiMggsZAlIqpgEydOROvWrXH16tVi91+7dg2tW7fGggUL9BwZEVHlxnlkiYgqWFpaGr788ktYWlpi586dSiv05ebm4quvvgLwahlqsVhcUWESEVU6fCJLRFTBbG1tMWHCBCQmJmLDhg1K+yIjI/H48WOEhYWxiCUi+g8uUUtEVAl07doVJ0+exI8//oiuXbuicePGiI2NxU8//YRBgwahWbNmePnyJdauXYvTp08jKysL9evXx7fffot27dop+snNzcWmTZvw+++/4+nTpzA1NUXTpk3x3XffwcXFBcCr4vjo0aPo2bMnduzYAaFQiG3btsHR0bGiLp+I6I1waAERUSXx4sULfPnll6hRowY2bNiAgIAAAMDmzZshk8kwZMgQPH36FMOGDYOTkxMOHz6MU6dOYdGiRfDy8gIATJkyBX/99ReCgoLg7OyMR48eITIyEubm5ti9ezcEAgEiIyOxdetW1KpVC6NHj8aLFy/g5+dXkZdORPRG+ESWiKiSqFq1KiZOnIgpU6bgu+++Q0JCArZv3w5jY2Ps3bsXd+7cwbp169CyZUsAgJeXF7777jusWLECXl5eyM/PR2ZmJsaPH49PPvkEAODp6QmJRIIVK1YgOTlZ8dS1oKAAY8aMQdu2bSvseomIyouFLBFRJdK5c2d06dIFJ06cwLhx41CvXj0AwOXLl2FjY4PmzZujoKBA0b5Dhw5YsGABnjx5AicnJ6xevRoAkJqaiocPH+LBgwc4d+4cACA/P1/pXA0aNNDTVRER6QYLWSKiSqZt27Y4ceKE0tjX9PR0pKenl/gE9fnz53ByckJ0dDSWLVuGuLg4mJubo2HDhoqXxORy5ZFkdnZ2ursIIiI9YCFLRGQALCwsULNmTcydO7fY/XXq1MGjR48wfvx4eHt7Y/HixahRowYEAgF2796Nixcv6jliIiLd4/RbREQGoFWrVkhOToa1tTWaNGmi+HXt2jVs3LgRRkZG+Oeff5CXl4evvvoKNWvWhEAgAACcP38eACCTySryEoiItI5PZImIDICfnx92796NUaNG4ZtvvkGNGjVw5coVbN++Hb6+vhCLxWjcuDGEQiHWrFmD/v37QyqV4uDBg7hw4QKAV1NzERG9TfhElojIAIjFYqxfvx4ffPAB1q1bh3HjxuHEiRMYNmwYJk+eDACoVasW5syZg5SUFEyaNAmLFi2CkZERIiIiIBAIEBMTU7EXQUSkZZxHloiIiIgMEp/IEhEREZFBYiFLRERERAaJhSwRERERGSQWskRERERkkFjIEhEREZFBYiFLRERERAaJhSwRERERGSQWskRERERkkFjIEhEREZFB+n/8TawBQ+QvvgAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# generating a seaborn's barplot using the GDP values for each year & quarters\n", - "plt.figure(figsize = (10,5))\n", - "sns.barplot(x = 'Year', y = 'Amount in Billion(N)',hue = 'Quarter', data =Q_RealGDP).set_title('Annual-Quaterly GDP')\n", - "plt.legend(loc = 'lower left')\n", - "plt.axhline(y =15890000.00, label ='Hline', color ='black')" - ] - }, - { - "cell_type": "markdown", - "id": "6fe3ce42", - "metadata": {}, - "source": [ - "The second quarter of 2020 (onset of impact of pandemic in Nigeria) was used to apply an axhline threashold and bench mark for comparison of dataset parameters. \n", - "\n", - "\n", - "There is no record for the fourth quarter's GDP in 2020 \n", - "\n", - "\n", - "Economic activities during the fourth quarter was virtually grounded hence there is no record of GDP for fourth quater of 2020. This also means that 2020 has the lowest combined GDP in the years under review. \n", - "\n", - "\n", - "The impact of covid 19 was huge on Nigeria's economy around the second quarter, in 2020, because that was when the highest cases of daily infection were recorded. \n", - "\n", - "\n", - "The negative effects of covid on the population and the control measures enforced by the government affected productivity, all compared to other years included in the review. " - ] - }, - { - "cell_type": "markdown", - "id": "dd00ceac", - "metadata": {}, - "source": [ - "Note: Do not limit your analysis to the provided TODOs. Perform more analyses e.g\n", - ">Check for more external dataset\n", - ">Ask more questions & find the right answers by exploring the data" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From ef848f046af238994c04e462a3d37b780ac87473 Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Thu, 25 Aug 2022 04:31:04 -0700 Subject: [PATCH 05/19] Add files via upload --- ...ID-19-Data-Analysis-Using-Python (1).ipynb | 6329 +++++++++++++++++ 1 file changed, 6329 insertions(+) create mode 100644 Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb diff --git a/Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb b/Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb new file mode 100644 index 00000000..3a49ac08 --- /dev/null +++ b/Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb @@ -0,0 +1,6329 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cf1b9a47", + "metadata": {}, + "source": [ + "# Task 1 - Data Collection\n", + "Here you will obtain the required data for the analysis. As described in the project instructions, you will perform a web scrap to obtain data from the NCDC website, import data from the JoHn Hopkins repository, and import the provided external data.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "844c4c23", + "metadata": {}, + "source": [ + "# A - NCDC Website scrap\n", + "Website - https://covid19.ncdc.gov.ng/" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "eb9c700f", + "metadata": {}, + "outputs": [], + "source": [ + "# Importing all libraries\n", + "import os\n", + "os.chdir('C:\\\\Users\\\\OCHAI ODEH\\\\Downloads\\\\Nigeriadata')\n", + "import requests\n", + "import numpy as np\n", + "import urllib.request\n", + "import pandas as pd\n", + "import csv\n", + "from bs4 import BeautifulSoup\n", + "import seaborn as sns\n", + "sns.set_style(\"darkgrid\")\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "plt.style.use('fivethirtyeight') \n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2fb9112c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# checking response of server to get url request\n", + "\n", + "url = 'https://covid19.ncdc.gov.ng'\n", + "status_code = requests.get(url)\n", + "status_code" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "416ceaad", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 102877 129 \n", + "1 FCT 29075 146 \n", + "2 Rivers 17680 262 \n", + "3 Kaduna 11467 11 \n", + "4 Oyo 10327 6 \n", + "5 Plateau 10292 18 \n", + "6 Edo 7821 102 \n", + "7 Ogun 5810 11 \n", + "8 Delta 5631 349 \n", + "9 Ondo 5173 315 \n", + "10 Kano 5169 41 \n", + "11 Akwa Ibom 4973 22 \n", + "12 Kwara 4680 441 \n", + "13 Osun 3311 36 \n", + "14 Gombe 3310 6 \n", + "15 Enugu 2952 13 \n", + "16 Anambra 2825 46 \n", + "17 Nasarawa 2777 393 \n", + "18 Imo 2655 7 \n", + "19 Ekiti 2447 46 \n", + "20 Katsina 2418 0 \n", + "21 Abia 2226 11 \n", + "22 Benue 2129 340 \n", + "23 Ebonyi 2064 28 \n", + "24 Bauchi 1979 8 \n", + "25 Borno 1629 5 \n", + "26 Taraba 1473 62 \n", + "27 Bayelsa 1363 10 \n", + "28 Adamawa 1203 68 \n", + "29 Niger 1150 132 \n", + "30 Cross River 873 3 \n", + "31 Sokoto 822 0 \n", + "32 Jigawa 669 2 \n", + "33 Yobe 638 4 \n", + "34 Kebbi 480 10 \n", + "35 Zamfara 375 0 \n", + "36 Kogi 5 0 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 101977 771 \n", + "1 28680 249 \n", + "2 17264 154 \n", + "3 11367 89 \n", + "4 10119 202 \n", + "5 10199 75 \n", + "6 7398 321 \n", + "7 5717 82 \n", + "8 5170 112 \n", + "9 4749 109 \n", + "10 5001 127 \n", + "11 4907 44 \n", + "12 4175 64 \n", + "13 3183 92 \n", + "14 3238 66 \n", + "15 2910 29 \n", + "16 2760 19 \n", + "17 2345 39 \n", + "18 2590 58 \n", + "19 2373 28 \n", + "20 2381 37 \n", + "21 2181 34 \n", + "22 1764 25 \n", + "23 2004 32 \n", + "24 1947 24 \n", + "25 1580 44 \n", + "26 1377 34 \n", + "27 1325 28 \n", + "28 1103 32 \n", + "29 998 20 \n", + "30 845 25 \n", + "31 794 28 \n", + "32 649 18 \n", + "33 625 9 \n", + "34 454 16 \n", + "35 366 9 \n", + "36 3 2 \n" + ] + } + ], + "source": [ + "# Reading NCDC data from url to a DataFrame object.\n", + "url = 'https://covid19.ncdc.gov.ng'\n", + "html = requests.get(url).content\n", + "df_list = pd.read_html(html)\n", + "\n", + "#Saving the data from link to object nig_covid_cases\n", + "nig_covid_cases = df_list[-1]\n", + "print(nig_covid_cases)\n", + "nig_covid_cases.to_csv('ncdcdata.csv')\n" + ] + }, + { + "cell_type": "markdown", + "id": "fb9a9282", + "metadata": {}, + "source": [ + "# B - John Hopkins Data Repository\n", + "Here you will obtain data from the John Hopkins repository. Your task here involves saving the data from the GitHub repo link to DataFrame for further analysis. Find the links below.\n", + "\n", + "Global Daily Confirmed Cases - Click Here Global Daily Recovered Cases - Click Here Global Daily Death Cases - Click Here\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "980b61f4", + "metadata": {}, + "outputs": [], + "source": [ + "#Saving the data from John Hopkin's repository's link into a DataFrame object\n", + "\n", + "confirmed_global= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", + "covid19_recovered_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", + "covid19_deaths_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2e75c02c", + "metadata": {}, + "outputs": [], + "source": [ + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "184a6b6a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
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" + ], + "text/plain": [ + " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", + "0 NaN Afghanistan 33.93911 67.709953 0 0 \n", + "1 NaN Albania 41.15330 20.168300 0 0 \n", + "2 NaN Algeria 28.03390 1.659600 0 0 \n", + "3 NaN Andorra 42.50630 1.521800 0 0 \n", + "4 NaN Angola -11.20270 17.873900 0 0 \n", + "\n", + " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", + "0 0 0 0 0 ... 7758 7758 7759 \n", + "1 0 0 0 0 ... 3570 3571 3571 \n", + "2 0 0 0 0 ... 6878 6878 6878 \n", + "3 0 0 0 0 ... 154 154 154 \n", + "4 0 0 0 0 ... 1917 1917 1917 \n", + "\n", + " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", + "0 7759 7759 7759 7759 7759 7762 7767 \n", + "1 3573 3574 3574 3575 3576 3576 3576 \n", + "2 6878 6878 6878 6878 6878 6878 6878 \n", + "3 154 154 154 154 154 154 154 \n", + "4 1917 1917 1917 1917 1917 1917 1917 \n", + "\n", + "[5 rows x 948 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reading some of the data from John Hopkin's repository\n", + "JH_deaths_global.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39a878bc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "219c82cd", + "metadata": {}, + "source": [ + "# External Data\n", + "\n", + "Save the external data to a DataFrame\n", + "External Data includes but not limited to: covid_external.csv, Budget data.csv, RealGDP.csv" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "dc07766f", + "metadata": {}, + "outputs": [], + "source": [ + "#Saving external data into dataaframe object\n", + "covid_external = pd.read_csv('covid_external.csv')\n", + "Budget_data = pd.read_csv('Budget data.csv')\n", + "RealGDP = pd.read_csv('RealGDP.csv')\n", + "covidnig = pd.read_csv('covidnig.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "706c1245", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26,7082,43524,037236
1FCT9,6272,8406,69493
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" + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 26,708 2,435 \n", + "1 FCT 9,627 2,840 \n", + "2 Kaduna 4,504 579 \n", + "3 Plateau 4,262 280 \n", + "4 Oyo 3,788 368 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 24,037 236 \n", + "1 6,694 93 \n", + "2 3,877 48 \n", + "3 3,948 34 \n", + "4 3,374 46 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reading some of the dataframes\n", + "covidnig.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8a8ccd9e", + "metadata": {}, + "outputs": [], + "source": [ + "# Combining all 'external' dataframe objects provided using the merge() function on identical column\n", + "merged_t1 = pd.merge(covid_external, Budget_data, on= 'states', how ='outer', sort= True)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "2b982227", + "metadata": {}, + "outputs": [], + "source": [ + "#Renaming of a column is necessary if web scrapped data from NCDC's link is to be merged with 'external' dataframe on isentical column 'states'.\n", + "covidnig_rn = covidnig.rename(columns={'States Affected':'states'})" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "38c0df7a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", + " 2 No. of Cases (on admission) 37 non-null object\n", + " 3 No. Discharged 37 non-null object\n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(1), object(4)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "#Checking if Renaming was successful and type of data in imported data from NCDC's link.\n", + "covidnig_rn.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "f8304c9b", + "metadata": {}, + "outputs": [], + "source": [ + "# values of data are object\n", + "# All data values has to be converted to appropriate type (numeric). We use pd.to_numeric and apply the conversion.\n", + "covidnig_rndf = covidnig_rn[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", + "covidnig_rn[covidnig_rndf] = covidnig_rn[covidnig_rndf].apply(pd.to_numeric,errors='coerce')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "edc5e80b", + "metadata": {}, + "outputs": [], + "source": [ + "covidnig_rn.replace(',','', regex=True, inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "f3fa815d", + "metadata": {}, + "outputs": [], + "source": [ + "#Final merger of external dataframe and NCDC's data also using the pd.merge() function\n", + "merged_t2 = pd.merge(merged_t1,covidnig_rn, on= 'states', how ='outer', sort=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "cfef53ba", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df = merged_t2.append(RealGDP, ignore_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "e6d82b00", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised_budget (Bn)No. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsYearQ1Q2Q3Q4
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic ... Revised_budget (Bn) No. of Cases (Lab Confirmed) \\\n", + "0 0.2 ... 102.70 980.0 \n", + "1 0.7 ... 139.31 355.0 \n", + "2 0.5 ... NaN 395.0 \n", + "3 NaN ... 366.00 NaN \n", + "4 0.0 ... 112.80 299.0 \n", + "\n", + " No. of Cases (on admission) No. Discharged No. of Deaths Year Q1 Q2 \\\n", + "0 25.0 945.0 10.0 NaN NaN NaN \n", + "1 96.0 238.0 21.0 NaN NaN NaN \n", + "2 44.0 342.0 9.0 NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN NaN \n", + "4 6.0 274.0 19.0 NaN NaN NaN \n", + "\n", + " Q3 Q4 \n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Viewing the data\n", + "#Obtain basic information about the merged data using the head() and info() method.\n", + "combined_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "570617ef", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 48 entries, 0 to 47\n", + "Data columns (total 23 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 41 non-null object \n", + " 1 region 37 non-null object \n", + " 2 Population 37 non-null float64\n", + " 3 Overall CCVI Index 37 non-null float64\n", + " 4 Age 37 non-null float64\n", + " 5 Epidemiological 37 non-null float64\n", + " 6 Fragility 37 non-null float64\n", + " 7 Health System 37 non-null float64\n", + " 8 Population Density 37 non-null float64\n", + " 9 Socio-Economic 37 non-null float64\n", + " 10 Transport Availability 37 non-null float64\n", + " 11 Acute IHR 37 non-null float64\n", + " 12 Initial_budget (Bn) 37 non-null float64\n", + " 13 Revised_budget (Bn) 37 non-null float64\n", + " 14 No. of Cases (Lab Confirmed) 21 non-null float64\n", + " 15 No. of Cases (on admission) 35 non-null float64\n", + " 16 No. Discharged 22 non-null float64\n", + " 17 No. of Deaths 37 non-null float64\n", + " 18 Year 7 non-null float64\n", + " 19 Q1 7 non-null float64\n", + " 20 Q2 7 non-null float64\n", + " 21 Q3 7 non-null float64\n", + " 22 Q4 7 non-null float64\n", + "dtypes: float64(21), object(2)\n", + "memory usage: 8.8+ KB\n" + ] + } + ], + "source": [ + "combined_df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "7333933a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "states 37\n", + "Initial_budget (Bn) 37\n", + "Revised_budget (Bn) 37\n", + "dtype: int64" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Budget_data.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "cbb55a48", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "states 37\n", + "region 6\n", + "Population 37\n", + "Overall CCVI Index 11\n", + "Age 11\n", + "Epidemiological 11\n", + "Fragility 11\n", + "Health System 11\n", + "Population Density 11\n", + "Socio-Economic 11\n", + " Transport Availability 11\n", + "Acute IHR 22\n", + "dtype: int64" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "53f0b8ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "States Affected 37\n", + "No. of Cases (Lab Confirmed) 37\n", + "No. of Cases (on admission) 33\n", + "No. Discharged 37\n", + "No. of Deaths 30\n", + "dtype: int64" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "6f484eb5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Year 7\n", + "Q1 7\n", + "Q2 7\n", + "Q3 7\n", + "Q4 7\n", + "dtype: int64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RealGDP.nunique()" + ] + }, + { + "cell_type": "markdown", + "id": "4c1d3330", + "metadata": {}, + "source": [ + "# Task 2 - View the data\n", + "Obtain basic information about the data using the head() and info() method." + ] + }, + { + "cell_type": "markdown", + "id": "489b28aa", + "metadata": {}, + "source": [ + "# Viewing the separate external data and NCDC's data: Obtaining basic information about the data using the head() and info() method." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "540f2dee", + "metadata": {}, + "outputs": [], + "source": [ + "covid_external = pd.read_csv('covid_external.csv')\n", + "Budget_data = pd.read_csv('Budget data.csv')\n", + "RealGDP = pd.read_csv('RealGDP.csv')\n", + "covidnig = pd.read_csv('covidnig.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "4cba08be", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
0FCTNorth Central48650000.30.00.90.40.60.90.60.20.79
1PlateauNorth Central47660000.40.50.40.80.30.30.50.30.93
2KwaraNorth Central35240000.30.40.30.20.40.20.60.70.93
3NassarawaNorth Central27830000.10.30.50.90.00.10.60.50.85
4NigerNorth Central62600000.60.00.60.30.70.10.80.80.84
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" + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 FCT North Central 4865000 0.3 0.0 \n", + "1 Plateau North Central 4766000 0.4 0.5 \n", + "2 Kwara North Central 3524000 0.3 0.4 \n", + "3 Nassarawa North Central 2783000 0.1 0.3 \n", + "4 Niger North Central 6260000 0.6 0.0 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.9 0.4 0.6 0.9 \n", + "1 0.4 0.8 0.3 0.3 \n", + "2 0.3 0.2 0.4 0.2 \n", + "3 0.5 0.9 0.0 0.1 \n", + "4 0.6 0.3 0.7 0.1 \n", + "\n", + " Socio-Economic Transport Availability Acute IHR \n", + "0 0.6 0.2 0.79 \n", + "1 0.5 0.3 0.93 \n", + "2 0.6 0.7 0.93 \n", + "3 0.6 0.5 0.85 \n", + "4 0.8 0.8 0.84 " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "520ff38f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object \n", + " 1 region 37 non-null object \n", + " 2 Population 37 non-null int64 \n", + " 3 Overall CCVI Index 37 non-null float64\n", + " 4 Age 37 non-null float64\n", + " 5 Epidemiological 37 non-null float64\n", + " 6 Fragility 37 non-null float64\n", + " 7 Health System 37 non-null float64\n", + " 8 Population Density 37 non-null float64\n", + " 9 Socio-Economic 37 non-null float64\n", + " 10 Transport Availability 37 non-null float64\n", + " 11 Acute IHR 37 non-null float64\n", + "dtypes: float64(9), int64(1), object(2)\n", + "memory usage: 3.6+ KB\n" + ] + } + ], + "source": [ + "covid_external.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "4c915f29", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesInitial_budget (Bn)Revised_budget (Bn)
0Abia136.60102.70
1Adamawa183.30139.31
2Akwa-Ibom597.73366.00
3Anambra137.10112.80
4Bauchi167.20128.00
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" + ], + "text/plain": [ + " states Initial_budget (Bn) Revised_budget (Bn)\n", + "0 Abia 136.60 102.70\n", + "1 Adamawa 183.30 139.31\n", + "2 Akwa-Ibom 597.73 366.00\n", + "3 Anambra 137.10 112.80\n", + "4 Bauchi 167.20 128.00" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Budget_data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "47bf9836", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 3 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object \n", + " 1 Initial_budget (Bn) 37 non-null float64\n", + " 2 Revised_budget (Bn) 37 non-null float64\n", + "dtypes: float64(2), object(1)\n", + "memory usage: 1016.0+ bytes\n" + ] + } + ], + "source": [ + "Budget_data.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "ac2af73e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearQ1Q2Q3Q4
0201415438679.5016084622.3117479127.5818150356.45
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2201615943714.5416218542.4117555441.6918213537.29
3201715797965.8316334719.2717760228.1718598067.07
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" + ], + "text/plain": [ + " Year Q1 Q2 Q3 Q4\n", + "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", + "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", + "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", + "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", + "4 2018 16096654.19 16580508.07 18081342.10 19041437.59" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RealGDP.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "b7496c7f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 7 entries, 0 to 6\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Year 7 non-null int64 \n", + " 1 Q1 7 non-null float64\n", + " 2 Q2 7 non-null float64\n", + " 3 Q3 7 non-null float64\n", + " 4 Q4 7 non-null float64\n", + "dtypes: float64(4), int64(1)\n", + "memory usage: 408.0 bytes\n" + ] + } + ], + "source": [ + "RealGDP.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "140000d9", + "metadata": {}, + "outputs": [], + "source": [ + "#Removing coma from the data values from NCDC website\n", + "covidnig.replace(',','', regex=True, inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "a79d0775", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
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" + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 26708 2435 \n", + "1 FCT 9627 2840 \n", + "2 Kaduna 4504 579 \n", + "3 Plateau 4262 280 \n", + "4 Oyo 3788 368 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 24037 236 \n", + "1 6694 93 \n", + "2 3877 48 \n", + "3 3948 34 \n", + "4 3374 46 " + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "3aba9131", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 States Affected 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", + " 2 No. of Cases (on admission) 37 non-null object\n", + " 3 No. Discharged 37 non-null object\n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(1), object(4)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "covidnig.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "41d9cc75", + "metadata": {}, + "outputs": [], + "source": [ + "# Converting NCDC's data into appropriate data type (from object to int)\n", + "newcovidnig = covidnig[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", + "covidnig[newcovidnig] = covidnig[newcovidnig].apply(pd.to_numeric,errors='coerce')" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "24c38b3c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 States Affected 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null int64 \n", + " 2 No. of Cases (on admission) 37 non-null int64 \n", + " 3 No. Discharged 37 non-null int64 \n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(4), object(1)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "# Checking: conversion is successful\n", + "covidnig.info()" + ] + }, + { + "cell_type": "markdown", + "id": "fd53ebe2", + "metadata": {}, + "source": [ + "# Task 3 - Data Cleaning and Preparation" + ] + }, + { + "cell_type": "markdown", + "id": "9a6a4596", + "metadata": {}, + "source": [ + "From the information obtained above, you will need to fix the data format.\n", + "Examples:\n", + "\n", + ">Convert to appropriate data type.\n", + ">Rename the columns of the scraped data.\n", + ">Remove comma(,) in numerical data\n", + ">Extract daily data for Nigeria from the Global daily cases data" + ] + }, + { + "cell_type": "markdown", + "id": "5995394a", + "metadata": {}, + "source": [ + "TODO A - Clean the scraped data" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "80bead0f", + "metadata": {}, + "outputs": [], + "source": [ + "#Data Cleaning and Preparation: Clean the scraped data\n", + "#Renaming columns of dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "fb588afb", + "metadata": {}, + "outputs": [], + "source": [ + "#Renaming of columns of merged dataframe\n", + "combined_df.rename(columns = {'states':'State', 'region': 'Region', 'Initial_budget (Bn)': 'Initial Budget in Billion', 'Revised_budget (Bn)': 'Revised Budget in Billion', 'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths', 'Q1': 'First Quarter', 'Q2': 'Second Quarter', 'Q3': 'Third Quarter', 'Q4':'Fourth Quarter'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "fd6cac5c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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StateRegionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised Budget in BillionNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of DeathsYearFirst QuarterSecond QuarterThird QuarterFourth Quarter
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " State Region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic ... Revised Budget in Billion \\\n", + "0 0.2 ... 102.70 \n", + "1 0.7 ... 139.31 \n", + "2 0.5 ... NaN \n", + "3 NaN ... 366.00 \n", + "4 0.0 ... 112.80 \n", + "\n", + " Number of Lab Confirmed Cases Number of Cases on Admission \\\n", + "0 980.0 25.0 \n", + "1 355.0 96.0 \n", + "2 395.0 44.0 \n", + "3 NaN NaN \n", + "4 299.0 6.0 \n", + "\n", + " Number of Cases Discharged Number of Deaths Year First Quarter \\\n", + "0 945.0 10.0 NaN NaN \n", + "1 238.0 21.0 NaN NaN \n", + "2 342.0 9.0 NaN NaN \n", + "3 NaN NaN NaN NaN \n", + "4 274.0 19.0 NaN NaN \n", + "\n", + " Second Quarter Third Quarter Fourth Quarter \n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 NaN NaN NaN \n", + "4 NaN NaN NaN \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checking if renamig is successful\n", + "combined_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "2e595642", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "State object\n", + "Region object\n", + "Population float64\n", + "Overall CCVI Index float64\n", + "Age float64\n", + "Epidemiological float64\n", + "Fragility float64\n", + "Health System float64\n", + "Population Density float64\n", + "Socio-Economic float64\n", + " Transport Availability float64\n", + "Acute IHR float64\n", + "Initial Budget in Billion float64\n", + "Revised Budget in Billion float64\n", + "Number of Lab Confirmed Cases float64\n", + "Number of Cases on Admission float64\n", + "Number of Cases Discharged float64\n", + "Number of Deaths float64\n", + "Year float64\n", + "First Quarter float64\n", + "Second Quarter float64\n", + "Third Quarter float64\n", + "Fourth Quarter float64\n", + "dtype: object" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checking data tyoes in columns of merged dataframe\n", + "combined_df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "37941bb4", + "metadata": {}, + "outputs": [], + "source": [ + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "a3831d28", + "metadata": {}, + "outputs": [], + "source": [ + "# Saved global data from John Hopkin's repository" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "dd04542b", + "metadata": {}, + "outputs": [], + "source": [ + "# Saved global data from John Hopkin's repository\n", + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "928f0f66", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
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1NaNAlbania41.15330020.168300000000...321345321804322125322837323282323829325241325736326077326181
2NaNAlgeria28.0339001.659600000000...269008269141269269269381269473269556269650269731269805269894
3NaNAndorra42.5063001.521800000000...45899458994589945899459754597545975459754597545975
4NaNAngola-11.20270017.873900000000...102636102636102636102636102636102636102636102636102636102636
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200Cook IslandsNew Zealand-21.236700-159.777700000000...6209620962406265626562656265626562656265
201NaNNew Zealand-40.900600174.886000000000...1687705169126116962391700900170559717095411712957171516517180091721836
202NaNNicaragua12.865416-85.207229000000...14872148721487214872148991489914899148991489914899
203NaNNiger17.6077898.081666000000...9132913291399139915791579183918391839203
204NaNNigeria9.0820008.675300000000...262520262520262520262664262664262748262748262912262912262912
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" + ], + "text/plain": [ + " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", + "0 NaN Afghanistan 33.939110 67.709953 0 0 \n", + "1 NaN Albania 41.153300 20.168300 0 0 \n", + "2 NaN Algeria 28.033900 1.659600 0 0 \n", + "3 NaN Andorra 42.506300 1.521800 0 0 \n", + "4 NaN Angola -11.202700 17.873900 0 0 \n", + ".. ... ... ... ... ... ... \n", + "200 Cook Islands New Zealand -21.236700 -159.777700 0 0 \n", + "201 NaN New Zealand -40.900600 174.886000 0 0 \n", + "202 NaN Nicaragua 12.865416 -85.207229 0 0 \n", + "203 NaN Niger 17.607789 8.081666 0 0 \n", + "204 NaN Nigeria 9.082000 8.675300 0 0 \n", + "\n", + " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", + "0 0 0 0 0 ... 188820 189045 189343 \n", + "1 0 0 0 0 ... 321345 321804 322125 \n", + "2 0 0 0 0 ... 269008 269141 269269 \n", + "3 0 0 0 0 ... 45899 45899 45899 \n", + "4 0 0 0 0 ... 102636 102636 102636 \n", + ".. ... ... ... ... ... ... ... ... \n", + "200 0 0 0 0 ... 6209 6209 6240 \n", + "201 0 0 0 0 ... 1687705 1691261 1696239 \n", + "202 0 0 0 0 ... 14872 14872 14872 \n", + "203 0 0 0 0 ... 9132 9132 9139 \n", + "204 0 0 0 0 ... 262520 262520 262520 \n", + "\n", + " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", + "0 189477 189710 190010 190254 190435 190643 191040 \n", + "1 322837 323282 323829 325241 325736 326077 326181 \n", + "2 269381 269473 269556 269650 269731 269805 269894 \n", + "3 45899 45975 45975 45975 45975 45975 45975 \n", + "4 102636 102636 102636 102636 102636 102636 102636 \n", + ".. ... ... ... ... ... ... ... \n", + "200 6265 6265 6265 6265 6265 6265 6265 \n", + "201 1700900 1705597 1709541 1712957 1715165 1718009 1721836 \n", + "202 14872 14899 14899 14899 14899 14899 14899 \n", + "203 9139 9157 9157 9183 9183 9183 9203 \n", + "204 262664 262664 262748 262748 262912 262912 262912 \n", + "\n", + "[205 rows x 948 columns]" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#viewing basic information from John Hopkin's global data\n", + "JH_confirmed_global.head(n=205)" + ] + }, + { + "cell_type": "markdown", + "id": "21081e69", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "id": "cfee36c4", + "metadata": {}, + "source": [ + "TODO B - Get a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", + "\n", + "TODO C - Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases\n", + "\n", + "TODO D - Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "8ea0ac17", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", + "# The data frames will be restructured to make data accessible and extractable. We restructure dataframe using pd.melt() and drop() method\n", + "JH_Daily_confirmed = pd.melt(JH_confirmed_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Confirmed Cases')" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "b7c7345b", + "metadata": {}, + "outputs": [], + "source": [ + "# Still converting data tpe: Date column values is to be converted into standard Datetime format\n", + "JH_Daily_confirmed['Date'] = pd.to_datetime(JH_Daily_confirmed['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "0f5ba3ca", + "metadata": {}, + "outputs": [], + "source": [ + "#delete other columns aside date and country/region using the drop()method\n", + "JH_Daily_Confirmeddf= JH_Daily_confirmed.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "c1f8e51e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0Afghanistan2020-01-220
1Albania2020-01-220
2Algeria2020-01-220
3Andorra2020-01-220
4Angola2020-01-220
............
269035West Bank and Gaza2022-08-22698384
269036Winter Olympics 20222022-08-22535
269037Yemen2022-08-2211915
269038Zambia2022-08-22332527
269039Zimbabwe2022-08-22256628
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269040 rows × 3 columns

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" + ], + "text/plain": [ + " Country/Region Date Confirmed Cases\n", + "0 Afghanistan 2020-01-22 0\n", + "1 Albania 2020-01-22 0\n", + "2 Algeria 2020-01-22 0\n", + "3 Andorra 2020-01-22 0\n", + "4 Angola 2020-01-22 0\n", + "... ... ... ...\n", + "269035 West Bank and Gaza 2022-08-22 698384\n", + "269036 Winter Olympics 2022 2022-08-22 535\n", + "269037 Yemen 2022-08-22 11915\n", + "269038 Zambia 2022-08-22 332527\n", + "269039 Zimbabwe 2022-08-22 256628\n", + "\n", + "[269040 rows x 3 columns]" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking if the formatting of dataframe for global confirmed Cases is as expected\n", + "JH_Daily_Confirmeddf" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "3906e952", + "metadata": {}, + "outputs": [], + "source": [ + "#Applying formatting tools used for global confirmed cases to Dataframe of global recoveries and Deaths\n", + "\n", + "JH_Daily_Recovery = pd.melt(JH_recovered_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Recovered Cases')\n", + "JH_Daily_Recovery['Date'] = pd.to_datetime(JH_Daily_Recovery['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "f2abb71a", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Recoverydf= JH_Daily_Recovery.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "e230f423", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Deaths = pd.melt(JH_deaths_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Death Cases')\n", + "JH_Daily_Deaths['Date'] = pd.to_datetime(JH_Daily_Deaths['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "057b66ac", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Deathsdf= JH_Daily_Deaths.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "b0836c34", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "e88a3fda", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_confirmed[JH_Daily_confirmed['Country/Region'] == 'Nigeria']" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "2addb352", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Confirmed_Nigeriadf= Nigeria[['Date', 'Confirmed Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "d8573def", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Date Confirmed Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 262748\n", + "940 2022-08-19 262748\n", + "941 2022-08-20 262912\n", + "942 2022-08-21 262912\n", + "943 2022-08-22 262912\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Confirmed_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "d7bdc7dc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Confirmed Cases 135384240\n", + "dtype: int64" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "25a3156b", + "metadata": {}, + "outputs": [], + "source": [ + "# Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "864d686b", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_Recovery[JH_Daily_Recovery['Country/Region'] == 'Nigeria']\n", + "JH_Daily_Recovery_Nigeriadf= Nigeria[['Date', 'Recovered Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "fc332724", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Date Recovered Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 0\n", + "940 2022-08-19 0\n", + "941 2022-08-20 0\n", + "942 2022-08-21 0\n", + "943 2022-08-22 0\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Recovery_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "e1dd3a3d", + "metadata": {}, + "outputs": [], + "source": [ + "#Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "f77a30c0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recovered Cases 39492087\n", + "dtype: int64" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Getting total recovered cases in Nigeria upto Aug. 2022\n", + "JH_Daily_Recovery_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "d1ad4519", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_Deaths[JH_Daily_Deaths['Country/Region'] == 'Nigeria']\n", + "JH_Daily_DeathsNigeriadf= Nigeria[['Date', 'Death Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "b411a9c2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Death Cases 1774393\n", + "dtype: int64" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Getting total Deaths status in Nigeria upto Aug. 2022\n", + "JH_Daily_DeathsNigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "b8aaf40a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath Cases
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12020-01-230
22020-01-240
32020-01-250
42020-01-260
.........
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944 rows × 2 columns

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" + ], + "text/plain": [ + " Date Death Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 3147\n", + "940 2022-08-19 3147\n", + "941 2022-08-20 3147\n", + "942 2022-08-21 3147\n", + "943 2022-08-22 3147\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_DeathsNigeriadf" + ] + }, + { + "cell_type": "markdown", + "id": "d5019c67", + "metadata": {}, + "source": [ + "# Task 4 - Analysis" + ] + }, + { + "cell_type": "markdown", + "id": "34c9c7c3", + "metadata": {}, + "source": [ + "Here you will perform some analyses on the datasets. You are welcome to communicate findings in charts and summary.\n", + "We have included a few TODOs to help with your analysis. However, do not let this limit your approach, feel free to include more, and be sure to support your findings with chart and summary" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1988bee1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "6c7bced2", + "metadata": {}, + "source": [ + "TODO A - Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory test" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7b88cd24", + "metadata": {}, + "outputs": [], + "source": [ + "# To Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory \n", + "#First renaming columns from original dataframe fro link (data cleaning)\n", + "covidnig\n", + "covidnig.rename(columns = {'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "9a1b289e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
10Ondo179362169041
11Katsina1405214116724
12Enugu137634132121
13Kwara1296171109431
14Gombe116418395031
15Ebonyi109124103730
16Abia9802594510
17Osun9792093722
18Bauchi89710877514
19Borno7783770536
20Imo7346166112
21Nasarawa60026232513
22Benue5154446011
23Bayelsa4975542121
24Ekiti405243756
25Akwa Ibom395443429
26Jigawa3865731811
27Niger3816930012
28Adamawa3559623821
29Anambra299627419
30Sokoto2284017117
31Taraba203191777
32Yobe164331238
33Kebbi14351308
34Cross River9318111
35Zamfara791735
36Kogi5032
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" + ], + "text/plain": [ + " States Affected Number of Lab Confirmed Cases \\\n", + "0 Lagos 26708 \n", + "1 FCT 9627 \n", + "2 Kaduna 4504 \n", + "3 Plateau 4262 \n", + "4 Oyo 3788 \n", + "5 Rivers 3279 \n", + "6 Edo 2768 \n", + "7 Ogun 2382 \n", + "8 Kano 2032 \n", + "9 Delta 1843 \n", + "10 Ondo 1793 \n", + "11 Katsina 1405 \n", + "12 Enugu 1376 \n", + "13 Kwara 1296 \n", + "14 Gombe 1164 \n", + "15 Ebonyi 1091 \n", + "16 Abia 980 \n", + "17 Osun 979 \n", + "18 Bauchi 897 \n", + "19 Borno 778 \n", + "20 Imo 734 \n", + "21 Nasarawa 600 \n", + "22 Benue 515 \n", + "23 Bayelsa 497 \n", + "24 Ekiti 405 \n", + "25 Akwa Ibom 395 \n", + "26 Jigawa 386 \n", + "27 Niger 381 \n", + "28 Adamawa 355 \n", + "29 Anambra 299 \n", + "30 Sokoto 228 \n", + "31 Taraba 203 \n", + "32 Yobe 164 \n", + "33 Kebbi 143 \n", + "34 Cross River 93 \n", + "35 Zamfara 79 \n", + "36 Kogi 5 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", + "0 2435 24037 236 \n", + "1 2840 6694 93 \n", + "2 579 3877 48 \n", + "3 280 3948 34 \n", + "4 368 3374 46 \n", + "5 232 2987 60 \n", + "6 52 2603 113 \n", + "7 174 2175 33 \n", + "8 198 1778 56 \n", + "9 57 1737 49 \n", + "10 62 1690 41 \n", + "11 214 1167 24 \n", + "12 34 1321 21 \n", + "13 171 1094 31 \n", + "14 183 950 31 \n", + "15 24 1037 30 \n", + "16 25 945 10 \n", + "17 20 937 22 \n", + "18 108 775 14 \n", + "19 37 705 36 \n", + "20 61 661 12 \n", + "21 262 325 13 \n", + "22 44 460 11 \n", + "23 55 421 21 \n", + "24 24 375 6 \n", + "25 44 342 9 \n", + "26 57 318 11 \n", + "27 69 300 12 \n", + "28 96 238 21 \n", + "29 6 274 19 \n", + "30 40 171 17 \n", + "31 19 177 7 \n", + "32 33 123 8 \n", + "33 5 130 8 \n", + "34 1 81 11 \n", + "35 1 73 5 \n", + "36 0 3 2 " + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "7dbfc744", + "metadata": {}, + "outputs": [], + "source": [ + "#Sorting top 10 states with highest lab confirmed cases by using df.sort_values()\n", + "\n", + "covidnig_lab10confirmed = covidnig.sort_values('Number of Lab Confirmed Cases', ascending = False)\n", + "covidnig_lab10confirmed = covidnig_lab10confirmed.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "83f35642", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
\n", + "
" + ], + "text/plain": [ + " States Affected Number of Lab Confirmed Cases \\\n", + "0 Lagos 26708 \n", + "1 FCT 9627 \n", + "2 Kaduna 4504 \n", + "3 Plateau 4262 \n", + "4 Oyo 3788 \n", + "5 Rivers 3279 \n", + "6 Edo 2768 \n", + "7 Ogun 2382 \n", + "8 Kano 2032 \n", + "9 Delta 1843 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", + "0 2435 24037 236 \n", + "1 2840 6694 93 \n", + "2 579 3877 48 \n", + "3 280 3948 34 \n", + "4 368 3374 46 \n", + "5 232 2987 60 \n", + "6 52 2603 113 \n", + "7 174 2175 33 \n", + "8 198 1778 56 \n", + "9 57 1737 49 " + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking top 10 states\n", + "covidnig_lab10confirmed" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "2d8a31e5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting top 10 states with corresponding confirmed cases\n", + "Top_10_covidngcases = sns.barplot(x='Number of Lab Confirmed Cases', y='States Affected', data=covidnig_lab10confirmed, color = 'blue').set_title('Top 10 covid cases in Nigerian States')\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bb27389", + "metadata": {}, + "source": [ + "Lagos with the highest covid case and Delta is with the lowest." + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "b92dd2a0", + "metadata": {}, + "outputs": [], + "source": [ + "#Generating a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values\n", + "covidnig_10Discharged = covidnig.sort_values('Number of Cases Discharged', ascending = False)\n", + "covidnig_10Discharged = covidnig_10Discharged.iloc[:10,]" + ] + }, + { + "cell_type": "markdown", + "id": "30a63c50", + "metadata": {}, + "source": [ + "TODO B - Generate a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "a35d2c2c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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p6anWNr1p06YsvxT8Fw8fPlQGvhg8ePBrt/37779Zs2ZNpsQUFhYGpN8j8L9yXLFihdIGC+ltnadPn6ZixYpZVum+Tka1c2RkpNrykJAQ5R3nl38X2WnatCkWFhZs3bqVkJAQZfmzZ88ytdMaGBjQqlUrQkJCWL9+vdq6a9eu4enpybZt2zAzM8PAwID9+/fj4+OT6QtSRnX3y++pi7xDqpRFnvT999/j6urK/Pnz+fPPP7G3tyc4OJjTp09jYWGR5SD5AN988w3Ozs7o6upy9OhRYmNjmTp1aqbq53ehq6vLd999x8iRI+nbty9t2rQhMTGR/fv3U6hQIY3egezQoQNHjx5l//793Llzh3r16hEZGcmRI0coVqwYw4cPB6BXr178/fffHDx4kDt37lC/fn2ePXvGH3/8QVJSEj/88EOm9kA7Ozvs7e0JCAigaNGiWU4W8KqWLVty9OhRjhw5Qq9evXB0dCQkJIQzZ85QunTpTH/YX8ff318tocTFxXHv3j3Onj1LUlIS7u7ub/wCNHDgQC5evMi3337Lp59+SokSJbh//z7Hjx+nVKlSSu/1Bg0a0KFDB3bt2kWPHj1o2LAh8fHxSs/sCRMmaBx3hox3adetW0dISAhlypQhNDSUv/76S2lPz2jWeB0jIyPGjRvH+PHj6du3L82aNcPY2Jjjx48rX2p0dP73zDNs2DCuXLnC0qVLOXHiBNWrVycyMpKjR4+SmprKhAkTlF7wQ4YMYezYsfTq1YtPP/0UCwsLAgICOHPmDFWqVMnUY1rkDZJwRZ700UcfsW7dOlatWsWJEye4fPkyxYoVo0uXLvTr1y/LDlK9e/fmxYsX7N69m/j4eKpWrco333yj9qrQ+9KwYUPlHc9du3ZhZGSEo6Oj0mv0TXR1dVmwYAF+fn7s27eP7du3Y2xsjLOzM4MGDVI6RBkYGODl5YWfnx8HDhxgx44dmJqa0qBBA3r37p1lD1hIf/ILCAigZcuWGvdanT59OlWrVuW3335jx44dlC5dmp9++omTJ0++dcJ9ubrdwMAAS0tLnJ2d6dKlS6YeulmpVq0aK1eu5Oeff+bChQs8ffqUYsWK0blzZ7755hu1L1ATJkygSpUq/Prrr/z222/o6+tTr1493N3d/9MkEsWLF2fp0qUsXboUf39/zp49i5WVFZ07d6Z///707duXCxcukJyc/MaydXZ2ZuHChaxevZojR46gr69P48aN6dixI+7u7mqduCwsLFi9ejVr1qzhjz/+YMuWLZibm/Pxxx/Tr18/tWaRpk2b4uXlxfr16zl58iTR0dFYW1vTt29f+vTpIz2V8yhVVFTUmxsjhMjDMoZ2HDZsGD179sztcIQA0jtGxcbGUqJEiUwdt86fP8+3337LkCFD6N27dy5FKLRN2nCFECIHZExwMXHiRLXlKSkpSoenevXq5UZoIpdIvYMQQuSAypUrU716dQ4dOkR4eDg1atQgOTmZv//+m+DgYLp06ZLl5Aqi4JKEK4QQOUBHR4fFixfzyy+/cPjwYbZv346uri7lypVj4sSJMjjFB0jacIUQQggtkDZcIYQQQgsk4QohhBBaIAlXCCGE0ALpNPWOzp3LPEWb+J+MgfjFm0lZaUbKSXMfWllZW+tgY6P75g1fERgYSMWKFXMgInWScN+Rq+v7m/at4JIy0pyUlWaknDT34ZSVj4/pf0q42iJVykIIIYQWSMIVQgghtCBPJlxHR0fOnj2b22EIIYQQ702eTLhCCCFEQSMJVwghhNCCfNlLeffu3axfv56HDx9iYmKCs7Mzo0ePVuaA3LhxI35+frx48YJ27dpx9+5d2rVrh4uLC6mpqfj5+bFjxw4iIiKoWrUqo0aNwt7eHoAjR47g7e1NaGgoVlZW9O3bl/bt2+fm5QohhCgA8t0T7qVLl5gzZw6DBg1i+/btfPfdd+zZs4djx44BsH//fry9vRk+fDi+vr6EhYWpTYbt6+uLn58fI0aMYN26dZQqVQoPDw9iY2OJjIzkhx9+4KuvvmLr1q307duXn376iXv37uXS1QohhCgo8l3CNTQ0ZMKECTRv3pySJUvi7OyMvb09wcHBAGzdupWuXbvSsmVL7OzsmDRpEoaGhgCkpaWxZcsWBgwYQJMmTbC1tWXChAno6emxb98+/v33X5KTkylevDglS5akffv2eHl5UbRo0dy8ZCGEEAVAvqtSrlKlCoaGhnh7exMUFMSdO3d48OAB9evXB+DOnTv07NlT2d7MzIyyZcsCEBkZSXR0NNWrV1fW6+npUaVKFe7du8cXX3xB69atGTFiBB999BGNGzfGxcUFMzMz7V6kEEKIAiffPeGePn2a3r17ExERQYMGDZg1axYODg7Kel3dzKOMpKWlz0CY8aT7qtTUVFJSUlCpVEybNo1169bRpk0bLl68SL9+/Thz5kzOXIwQQogPRr5LuL/99hvt2rVj/PjxdOrUiXLlyhEaGqok1fLly3Pz5k1l+5iYGB4+fAiAqakplpaWXLt2TVmfnJzMrVu3KFu2LPfu3cPT05PKlSvj5ubG+vXrqVWrFn/88YdWr1EIIUTBk2erlG/evElKSorasho1amBubs7Vq1cJDAxER0eHtWvXEhERQVJS+iQCXbt2ZebMmVSuXBlbW1u8vb158eKFcowePXrg6+tLiRIlKFOmDOvWrSM+Pp5WrVqRlpbGr7/+iomJCe3atSMsLIw7d+7QsmVLrV67EEKIgifPJtylS5dmWrZmzRpcXV2ZMmUK33zzDSYmJjRq1Igvv/yS27dvA9CqVSsePHjA7NmzSUxMpEOHDpQqVQp9fX0AvvrqK2JjY5k5cyYxMTHUqFGDlStXUqxYMQBmz57N0qVLWb9+PWZmZnTp0oWOHTtq78KFEEIUSKqoqKi03A7iffL396d06dJYWVkB6VXGrVq1Yu7cudStW/e9n69Wrafv/ZhCCCHeno+PKfXr67/1fjI933/0xx9/cPXqVb777jsKFSrEL7/8gomJiVrPZCGEEELb8l2nqTcZOHAgZcqUYciQIfTo0YOQkBAWLVqUbQ9lIYQQQhsK3BOuiYkJU6ZMye0whBBCCDUFLuFqm4+PaW6HkKfFxcVhbGyc22HkC1JWmpFy0tyHVlbW1nm70lYS7jv6Lw30H5LAwHta6YxQEEhZaUbKSXNSVnlL3v46IIQQQhQQknCFEEIILZCEK4QQQmiBtOG+o3PnknI7hDwtLs6KqKicLSNrax1sbDJPWiGEEHmJJNx35Ooak9sh5AM5W0Y+PqaScIUQeZ5UKQshhBBaIAlXCCGE0IJ8X6XcsWNHwsLCMi0vX748v/zyC5A+af369eu5desWurq6VK9eHXd3dypVqgSAo6Pja89x9uzZ9x+4EEKID0q+T7gAHh4etG7dWm2Znl76pW3evJklS5bg5ubGmDFjSElJYdOmTQwcOJCVK1dSqVIl9u3bp+w3b948dHR0GDlypFavQQghRMFWIBKuiYkJlpaWmZaHhoayePFiJkyYwGeffaYs/+GHH3j06BHLli1j0aJFavsaGBigq6ub5fGEEEKI/6pAJNzsHDhwAHNzc9q0aZNp3ffff09aWoGaClgIIUQeVqATbmBgIJUrV0ZHJ3PfsDJlyuRCREIIIT5UBSLhzps3D09PT7Vlv/76KzExMRQpUiSXohJCCCH+p0Ak3AEDBuDs7Ky2zNzcHHNzc54/f55LUQkhhBD/UyDew7WwsMDGxkbtR1dXl6pVq3Lz5s0s22pPnDjBhAkTSE5OzoWIhRBCfGgKRMLNjrOzM7GxsWqv/QCkpqbi5+fHs2fPlNeHhBBCiJxUoLONlZUVAwcOZObMmURFReHk5ERMTIwyCIavr29uhyiEEOIDUaATLkDPnj0pXrw4mzdvxtfXF319fRwcHPD19cXOzi63wxNCCPGByPcJ97fffnvjNq1bt840ElV2pk6d+q4hCSGEEJkU6DZcIYQQIq+QhCuEEEJoQb6vUs5tPj6muR1CnhYXF4exsXGOnsPaWr43CiHyPkm476h+ff3cDiFPCwy8R8WKFXM7DCGEyHXyaCCEEEJogSRcIYQQQgsk4QohhBBaIG247+jcuaTcDiFHWVvrYGOjm9thCCFEvicJ9x25usbkdgg5ysfHVBKuEEK8B1KlLIQQQmiBJFwhhBBCC7RepdyxY0fCwsKUz7q6ulhZWdG5c2f69OmDu7s7NWvWZNCgQW88VmRkJBcuXKBly5Y5GbIQQgjxznKlDdfDw0OZTCAlJYVz587x008/Ubx48bc6zpIlS0hOTpaEK4QQIs/LlYRrYmKCpaWl8tnFxYWDBw9y9OjRtzpOWlra+w5NCCGEyBF5pg1XV1cXAwMDtWXJycksXrwYFxcXGjZsSIcOHdi2bRsA3t7e7N27l/3799OxY0cAYmJimDx5Ms2bN6dNmzbMmDGD2NhY5Xh//fUXvXr1onHjxjRv3pzx48cTExOjHM/V1VXt/B07dmTnzp05eNVCCCE+FLmecJOTkzl27Bh///03TZo0UVu3du1ajh8/zsyZM9m2bRsuLi7Mnz+ff//9l549e9KiRQs+/fRT1qxZA8C0adN49uwZ3t7eeHp6EhISosxvGxoaynfffcfnn3/Oli1bmDlzJufPn2fHjh3avmQhhBAfoFypUp43bx6enp4AJCQkYGRkxFdffUWbNm3Unijt7OyYMGECNWrUAKBv3774+voSEhJCvXr1MDQ0JCUlhSJFivDw4UP++OMPDh48iLm5OQCTJ0+mY8eOPH78mJSUFEaOHEnnzp0BKFWqFI6OjgQFBWn34oUQQnyQciXhDhgwAGdnZwAMDAywtLREVzfz4ArNmjXj77//ZuHChYSEhHDr1i0AUlNTM20bHBxMWloaHTp0yLQuJCQER0dHDAwMWL16NUFBQcpPq1at3vPVCSGEEJnlSsK1sLDAxsbmjdstX76cX3/9lfbt29O2bVvGjh2rtNe+KiUlBWNjYzZs2JBpnaWlJQEBAbi6uuLk5EStWrX4+uuv2bRpk7KNSqXK8phCCCHE+5Cnh3bcsWMHo0ePVl4hyqj+zeid/HKSLFu2LHFxcaSmplK2bFkAHjx4wMKFC/n+++/5/fffcXBwYPr06co+Dx48UBK/vr6+WgeruLg4IiMjc/YChRBCfDCyTbguLi5ZPvVlZ/fu3e8loJeZm5tz4sQJqlevTkREBPPnzwcgMTERAGNjYwICAggPD8fW1paGDRsyadIkRo8ejYGBAbNnzyY1NRVLS0vMzc0JCgri2rVrmJmZsWPHDm7cuIG1tTUAVatWZdmyZfz+++9Uq1YNX1/fLKu5hRBCiP8i24Rbv359JeGmpaVx6NAhjI2N+eSTTyhevDhRUVGcPn2a58+fKx2R3rcffviB2bNn0717dywtLenUqRN6enoEBATg5OREu3btOHbsGD169ODgwYNMmTKF+fPnM3ToUFQqFY6OjowePRqAbt26cfv2bYYOHYq+vj61a9dmwIAB7N+/X7nenj17Mm/ePHR0dOjevTsODg45cl1CCCE+PKqoqKg3jh7h7e3N6dOnWbJkCSYmJsryhIQEhg8fTrly5Rg3blyOBppX1ar1NLdDyFE+PqbUr6//n/cPDAykYsWK7zGigkvKSjNSTpqTstKMtspJo/dwt2/fTu/evdWSLYChoSHdu3fn0KFDORKcEEIIUVBolHBTUlKIj4/Pct3Tp0/R0cn18TOEEEKIPE2jTFm/fn1WrFhBQECA2vIrV66wcuVKnJycciQ4IYQQoqDQ6LWgkSNH4ubmRu/evbG2tqZIkSI8efKE8PBw7O3tGT58eA6HmXf5+Jjmdgg5ytpaai+EEOJ90CjhFi9enF9++YW9e/fi7+/Ps2fPsLGxwdHRkTZt2qCnl6df581R79KhSAghxIdD40xpaGjI559/zueff56T8QghhBAFksYJ98WLF2zdupW///6biIgIZs6cyalTp6hWrRp16tTJyRiFEEKIfE+jhBsREcHAgQN5/PgxlSpV4v79+yQlJXHx4kVWrFjB4sWLqVu3bk7HmiedO5eU2yHkGGtrHWxsZLQtIYR4HzRKuIsWLSIlJYWtW7dSvHhxPvnkEwDmzJnDsGHD8PX1/WATrqtrTG6HkGN8fEwl4QohxHuiURfU06dP4+bmRsmSJdXGV9bT06Nbt24EBgbmWIBCCCFEQaBRwk1KSso0ylQGlUpFcnLyew1KCCGEKGg0SrhVq1Zly5YtavPDZjzp7tu3jypVqmh0MkdHR86ePau27OLFizg5OTFv3jxNY1azfPly3N3d/9O+QgghhLZolHAHDRrEpUuX+Prrr1m6dCkqlYp9+/YxbNgwjh8/jqur6386eWBgIKNGjaJly5aMGjXqPx1DCCGEyA80SrgODg4sW7YMMzMzNm3aRFpaGps3byY6OpqFCxf+p9eCQkND8fDwwNHRkQkTJrzV3LtCCCFEfqPxe7g1a9bEx8eHhIQEoqOjMTU1xdjYGIDk5OS3Gm0qMjKSYcOGUaFCBaZNm6Y20XtERATz5s3j3LlzxMfHY2try8iRI5WkHhQUxMyZM7l16xY1a9bko48+Uvbds2cPK1asYM+ePcoyd3d3atasyaBBg5gyZQqmpqY8ffqU48ePU7x4cfr164eLi4tG5xZCCCH+K42ecDt16sTt27eB9BGnihcvriTby5cv07ZtW41PGBsbi4eHB48fP2batGno66sPjThp0iSSk5Px9fVl/fr1WFlZMXv2bAASExMZMWIEpUqVYv369TRr1ozffvtN43ND+lSD9vb2rF+/ngYNGjB79myePXv2xnMLIYQQ7yLbx9K1a9cqU/KFhYWxefNmrKysMm137do1UlNTNT7hnDlzsLS0RF9fn7Vr1zJs2DC19U5OTjRv3lw51xdffIGHhwdpaWmcPXuWqKgoxo0bR6FChShXrhznz58nKipK4/NXqFCB3r17A+lt01u3buXu3bvUqVPnteeWKm8hhBDvItuEm5qayurVq4H0Hsl79+7NtI2Ojg6mpqZv1UvYzMwMLy8vDh8+zLx582jevDk1atRQ1nfp0oWDBw9y5coVQkJCuHXrFpA+J29wcDClS5emUKFCyvZVqlTh9OnTGp+/dOnSyr9NTdNn+sl4rel15/6QJ2gQQgjx7rLNIv369aNfv34AfPzxx3h7e1OzZs13PuHw4cOxsLCgS5cuHDhwgKlTp7JhwwYMDQ1JTU1lyJAhREdH07JlS5ycnEhKSmLcuHHZX8AbEuHLrzIBmaqwM/yXcwshhBCa0qgNd+fOnVSrVo0HDx4oy6Kiorh48eJbnzCjg5RKpWL8+PGEhYWxcuVKAIKDg7l48SJeXl7079+fxo0b8+TJE2VfOzs7Hjx4QHR0tLIso20Z0pNpbGwsaWlpAKSlpfHo0SON4nrTuYUQQoh3oVHCNTY2xt3dHQ8PD2XZ9evXcXd3Z+jQocTE/LfxhG1tbenbty8bN27kypUrmJqaoqOjw6FDhwgLC+PIkSN4e3sD6R2mHB0dKVmyJNOmTSMoKIhdu3Zx9OhR5XhVq1YlNjaWdevWERoayuLFi9WS8+u86dxCCCHEu9Ao4Xp5efHPP/8wZswYZVnDhg3x8vLi3r17rFix4j8H0LdvX8qVK8e0adMwNzdn3Lhx+Pn50a1bN9asWcOoUaPQ09Pj9u3b6Onp4enpSWxsLH369GHnzp106dJFOZaNjQ0eHh5s2rSJnj17kpSURMuWLTWKw8rK6rXnFkIIId6FKioqKu1NG7Vt2xYPDw/atGmTaV1W775+SGrVeprbIeQYHx9T6tfPus1bU4GBgVSsWPE9RVSwSVlpRspJc1JWmtFWOWn0hBsXF6e8d/sqc3Nz5T1WIYQQQmRNo4RbqVIldu7cmeW6Xbt2YW9v/z5jEkIIIQocjV4u7devHyNGjODrr7+mWbNmFC1alKioKP7880/u3LnDggULcjpOIYQQIl/TKOE2aNCABQsW4O3tzerVq5WRl+zt7Zk7dy4NGzbM6TjzLB8f09wOIcdYW2tUASKEEEIDGg+f1LBhQxo2bJjl5AUfsnftVCSEEOLD8FaPMOHh4Rw5coR9+/YRGxvLrVu3lGERhRBCCJE9jZ9wlyxZwsaNG0lJSUGlUvHxxx/j5eXF06dPWbp0KUWKFMnJOIUQQoh8TaMnXD8/P/z8/HBzc+OXX35Rhk7s378/T548UYZmFEIIIUTWNHrC3b59O3369KFv375qkwHUrVsXNzc3fv755xwLMK87dy4pt0N4J9bWOtjY6OZ2GEIIUeBplHDDw8OznSnIxsbmreajLWhcXf/bONJ5hY+PqSRcIYTQAo2qlK2srLKdGejatWtYW1u/16CEEEKIgkajJ9xOnTqxfPlyjIyMaNq0KQAxMTEcPHiQ9evX07dv35yMUQghhMj3NEq4PXv2JCwsDG9vb2XKuiFDhgDpExv07t075yJ8C5GRkfj4+PDXX3/x7NkzrKysaN26Nb169cLIyCi3wxNCCPEByzbhXrhwgapVq2JsbIxKpWLs2LF89dVXnD9/nqioKAoXLkzt2rWxs7PTZrzZCg8Px9XVlVKlSjFlyhRKlizJnTt3WL58OSdPnmTFihWSdIUQQuSabBPumDFjmDdvHnXq1GHQoEGMHj0aOzs7bGxstBmfxubOnUuJEiXw8vJCTy/9skqVKkXt2rXp3r07q1atYvDgwbkcpRBCiA9Vtp2mUlJSuH37NikpKfj7+/P8+XNSU1Oz/clNkZGR/PXXX/Tp00dJthkKFy5M9+7d2bVrF0OGDGH27Nlq6ydMmMC8efMACA4OZtiwYTRv3pzPPvsMb2/vXL82IYQQBUO2T7gNGjRg4cKFLFq0CJVKhbu7e7YHUalUnD59OkcC1MStW7dITU2lWrVqWa6vVasWXl5e1KxZk+3btzN69Gh0dXWJj4/nxIkTeHl5ERUVhZubG02aNGH16tXcv3+fn376CWNjY3r16qXlKxJCCFHQZJtwf/zxR+rWrcuzZ8/w9fXFxcUlz77+Ex0dDaQ/zWbFzMwMgHr16rFu3TouXrxIvXr1OHHiBBYWFtSoUYMtW7ZgaGjI999/j56eHra2tkRERLBy5UpJuEIIId5Ztgl3woQJDB48mIoVK+Lv789XX31FhQoVtBmbxjIS6pMnT7Cyssq0/t9//wWgaNGiNG7cmMOHD1OvXj0OHz5Mq1atUKlUBAcHU6lSJbUqaQcHB6KiooiKisLCwkIr1yKEEKJgyrYNN6M3MsDFixd58eKFtmJ6a1WrVkVXV5ebN29muf7GjRtYWFhQunRpWrduzR9//EFsbCwnT56kVatWABgYGGTaL6P99uXhLIUQQoj/Itsn3OLFi7NkyRIaNmxIWloaO3fuzLadVqVS4ebmlmNBvomFhQXOzs74+vrSuHFjtafUmJgYNm7cSPv27dHT06NRo0YkJSWxbt06SpUqRcWKFQGwtbXl6NGjJCcnK/tfvXoVMzMzmQlJCCHEO8s24Q4ePJjZs2fz888/o1Kp2Lt3b7YHye2ECzB8+HAGDhzI0KFDlfdxg4KCWLp0KVZWVri6ugLpT7LNmjVj48aNaiNktW7dGm9vb2bOnEnPnj158OAB3t7edOnSBR2dt5o2WAghhMgk24TbokULWrRoAcDHH3+Mj48PDg4OWgvsbVlaWrJq1Sp+/vlnpkyZQmRkZLYjTbVq1Yrdu3cr1ckAhQoVYtGiRcyfP59evXphYWFBt27d6NevX25cjhBCiAJGo6Edly9fnu2IUvHx8ezfv59OnTq9z7j+EwsLC0aMGMGIESNeu11ERATVqlXLNIiHvb29zO0rhBAiR2iUcOvUqZNpWVBQEDt27OD3338nNjY2TyTcNwkNDeXGjRusWrUqz4z/LIQQ4sOgUcLNkJyczLFjx9i+fTuXLl0iLS0NBwcHXFxcciq+9+rRo0dMmzaNRo0a0b59+9wORwghxAdEo4QbFhbGr7/+yq5du3j69CkqlYrOnTvTs2dPSpcundMxvjf169fn+PHj7/WYPj6m7/V42mZtLR3ChBBCG16bcE+ePMn27ds5ffo0enp6ODk50aJFC77//nvatm2br5JtTqlfXz+3QxBCCJEPZJtwO3XqxD///EPlypUZOXIkrVu3xszMjLi4OG3GJ4QQQhQI2dYnhoWFYWdnh4uLC40bN1aGTxRCCCHE28s24fr4+FC1alWWLl1K586dcXd3Z+/evfKEK4QQQvwH2VYpOzg44ODgwKhRozh48CC7d+9m6tSpGBkZoVKpCAoKokaNGqhUKm3Gm+ecO5eU2yFoxNpaBxsb3dwOQwghPlhv7KVsZGREhw4d6NChAyEhIfz222/s37+fmTNn4uPjQ4sWLWjVqlW2c9EWdK6uMbkdgkZ8fEwl4QohRC56q3dCypYty7Bhw9i9ezdz5syhcuXKbN26lW+++San4hNCCCEKhLca+CKDrq4uTZs2pWnTpkRERLBv3773HZcQQghRoPynhPsyS0vL9zpMYseOHQkLC1M+q1QqChcuTK1atRgzZgxWVlY4OjqyZMkSHB0d39t5hRBCiJz0zgk3J3h4eNC6dWsgfRL44OBgZs2axeTJk1m+fDn79u3D3Nw8l6MUQgghNJcnE66JiQmWlpbK5xIlSjBw4EB+/PFHYmJi1NYJIYQQ+UG+GUhXXz99CEUdHR0cHR05e/Ys27dvx8XFhbS0NGW7Q4cO0aZNG1JSUkhMTGTBggW0atVKGZLyyZMnQPpEBo6OjqxatQpnZ2emTZtGTEwM48ePp0WLFjRv3pyxY8cSERGRK9crhBCiYNE44R44cICTJ08CcPfuXb7++muaN2/OjBkzSErK2XdR79+/j7e3Nw0bNqRQoULKcmdnZ548ecL169eVZUeOHMHZ2RldXV2WLVvG1atXWbBgAStXriQtLY2RI0eqJeiLFy+ydu1aevfuzcqVKwkLC2PFihWsWrWKp0+fsnDhwhy9NiGEEB8GjaqUN2/ejKenJ/379+eTTz5hzpw5REZG8tlnn7Fv3z6KFCnCoEGD3ltQ8+bNw9PTE4CUlBT09fVp0qRJponlLSwscHR05OjRo1SvXp24uDhOnTqFl5cX8fHxbN26ldWrV1OpUiUAJk+eTMuWLbl06RJWVlYAdOvWjY8++ghIH87S2NiYUqVKUahQISZPnszz58/f23UJIYT4cGmUcHfs2MEXX3yBm5sbERERXL58mdGjR/PFF19QpkwZNm3a9F4T7oABA3B2diYuLg4fHx/++ecfBg0ahIWFRaZtW7ZsyerVqxk2bBgnTpzA3NwcBwcHgoKCSEpKws3NTW37xMRE7t+/ryTcUqVKKet69+7NiBEjaN26NXXr1qVZs2Z89tln7+26hBBCfLg0SriPHj2iadOmAJw5cwYAJycnAMqXL6+0i74vFhYW2NjYADBjxgz69OnDmDFj+Pnnn9HTUw+5WbNmzJ49m4CAAI4cOULLli1RqVSkpKQAsGLFCkxN1eesLVKkCNHR0QAYGBgoyx0cHPjtt984ceIEJ0+eZNGiRRw4cIDly5e/1+sTQgjx4dGoDbdw4cJKgjpz5gxlypRRnhAfPHiQ5ZPn+6Kvr8/EiRMJDAzEz88v03pTU1MaNmzI0aNHOXPmDC1btgSgdOnS6OrqEhUVhY2NDTY2NhQpUoSFCxeqvef7sk2bNnH9+nXatGnDtGnT8PT05MKFC+/9C4UQQogPj0YJ19HREV9fX9auXcvRo0dp0aIFAIcPH8bHx4eGDRvmaJBVq1alQ4cO/Pzzz4SHh2da36pVK3755ReKFStGlSpVgPRXizp27Mi8efM4d+4c9+7dY/Lkydy5c0d5en7V48ePmTdvHleuXCE0NJT9+/djbW2do18ohBBCfBg0SrgjRozA0tISX19fGjVqpIwstWjRIkqXLs23336bo0ECfPvtt+jp6bF48eJM6xo3bgygPN1mGD58OA0aNGDChAn07duXhIQEFi9ejJGRUZbncHd3V0a06t69O/fu3WPBggXo6sqg/0IIId6NKioqKu3Nm2Xtn3/+wdra+n3Gk+/UqvU0t0PQiI+PKfXr62v9vIGBgVSsWFHr582PpKw0I+WkOSkrzWirnN5qpKnw8HDOnz/Pv//+S7t27YiKisLS0jJTRyYhhBBCqNM4Uy5ZsoSNGzeSkpKCSqXi448/xsvLi6dPn7J06VKKFCmSk3EKIYQQ+ZpGbbh+fn74+fnh5ubGL7/8oozU1L9/f548ecLKlStzNEghhBAiv9PoCXf79u306dOHvn37Ku+3AtStWxc3Nzd+/vnnHAswr/PxMX3zRnmAtXW+GTZbCCEKJI0Sbnh4ODVr1sxynY2NDVFRUe8zpnwlNzoiCSGEyH80euyxsrLi4sWLWa67du3aB99TWQghhHgTjZ5wO3XqxPLlyzEyMlKGeIyJieHgwYOsX7+evn375mSMQgghRL6nUcLt2bMnYWFheHt74+3tDcCQIUMAaNu2rTIQxofo3LmcnZrwbVlb62BjIwN1CCFEXqNRwlWpVIwdO5avvvqK8+fPExUVReHChalduzZ2dnY5HWOe5uoak9shqPHxMZWEK4QQeZBGCdfX15f27dsrkwC8LDQ0FD8/P8aOHZsjAQohhBAFQbYJNzQ0VPm3r68vtra2JCcnZ9ru2LFj7N69WxKuEEII8RrZJtwFCxZw8uRJANLS0pgwYUKW26WlpeX4bEGa6tixY7ZT782ZM4dmzZqpLTt79ixDhgzh7NmzWohOCCHEhyzbhDtu3DglEU2bNo0+ffpkqk7W1dXF1NSU+vXr52yUb8HDw4PWrVtnWm5mZpYL0QghhBDpsk24JUqUwMXFBYCwsDA6dOigTDqfl5mYmGBpaZnbYQghhBBqNOo05erqqvw7LS1NGUs5NTWV+Ph4Ll68iJOTU85E+B7FxMQwa9YsTpw4gaWlJR06dFBb//jxYxYuXMi5c+dQqVS0atWKYcOGYWhomEsRCyGEKCg0SriPHj1i5syZXLhwgdTU1Cy3OXPmzHsNLCfMmjWLe/fusWLFCp4+fcqUKVOUdUlJSXz77bfY2NiwfPlynj17xk8//URaWpp0CBNCCPHONEq4Cxcu5Nq1a3z++edcuXIFIyMjatSowZkzZwgKCmLOnDk5HafG5s2bh6enp9qywoUL88svv3DkyBGWLFlC5cqVgfTZjubNmwfA6dOnCQ8PZ/Xq1ZibmwMwduxYRo4cybfffoupaf6YpEAIIUTepFHC9ff3x83Nja+++opt27bx559/MnToUAYNGsSQIUP4448/8kyV8oABA3B2dlZbpqOjw/3790lJSaFixYrK8ipVqij/Dg4OxsbGRkm2ADVq1CAlJYX79+9TtWrVnA9eCCFEgaXR5AVxcXFKorK1teX27dsA6Onp0aVLF86fP59zEb4lCwsLZYCOjJ/SpUsr6zPanyE9/gxZtdNmVJ9nV40uhBBCaEqjhGtpaUlERASQPh1fdHS08tnc3JzIyMici/A9KVOmDHp6ety4cUNZlvHFAaBcuXI8ePCAZ8+eKcuuXr2Krq4uH330kVZjFUIIUfBolHA/+eQTVq5cib+/PyVKlMDa2ho/Pz+io6PZtWsXJUqUyOk4NRYbG0tERESmH5VKRdu2bVmwYAFXr17l/PnzrF69WtnP0dGRMmXKMHnyZAIDA7lw4QLz58+nZcuWWFhY5N4FCSGEKBA0asN1c3Pj5s2beHt7s2LFCgYNGsTkyZPZtGkTAGPGjMnRIN/GokWLWLRoUablPXr0YMyYMcybN49hw4ZhZmZG165dWbx4MZDezjt37lzmzp1L//79KVSoEK1bt2bw4MHavgQhhBAFkCoqKirtzZuli4iIUAaVuHTpElevXqVatWrUqVMnxwLM62rVeprbIajx8TGlfn393A5DERgYqNZRTWRPykozUk6ak7LSjLbKSaMqZV9fXx4/fqw2glOtWrXo1asXVlZWeeq1ICGEECIvktmChBBCCC0oULMFCSGEEHlVgZstSNt8fPLWCFTW1hq1EgghhNCyAjdbkLblpQ5KQggh8q63ni0IICgoiODgYOzs7ChXrlxOxCWEEEIUKK9NuCdPnmTp0qV06tSJrl27ArB48WI2btxIWloaKpWKLl265Kn3cIUQQoi8KNsGv6tXrzJ69GjS0tKUttsLFy7g5+eHg4MDa9eu5ccff2T37t3s3btXawELIYQQ+VG2T7h+fn7UrFmTJUuWKIP8//rrr6hUKiZOnEiZMmWoXLkyd+7cYefOnbRr105rQecl584l5cp5ra11sLHRzZVzCyGEeHvZJtzLly8zfPhwtRl1zp07h62tLWXKlFGW1atXj19//TVno8zDXF1jcuW8Pj6mknCFECIfybZKOTo6mmLFiimfQ0JCiIqKyjSMo56eXpYDYgghhBDif7JNuBYWFjx58kT5fO7cOVQqFfXq1VPbLjg4mKJFi+ZchEIIIUQBkG2Vcp06ddi5cyctWrQgLS2NXbt2YWRkRIMGDZRt4uLi2Lp1K7Vq1dJGrERGRuLj48Nff/3Fs2fPsLKyonXr1vTq1QsjIyOtxCCEEEL8F9km3P79+9O/f386deqESqXi8ePHuLm5YWxsDMD27dvZtm0b//zzD7NmzcrxQMPDw3F1daVUqVJMmTKFkiVLcufOHZYvX87JkydZsWKFJF0hhBB5VrYJ19bWllWrVuHn58fTp0+V5JvBx8cHQ0ND5syZQ4UKFXI80Llz51KiRAm8vLyUjlylSpWidu3adO/enVWrVsnctUIIIfKs1w58Ub58eX744Ycs161btw5LS0t0dHJ+7N7IyEj++usv5s2bp9ZrGqBw4cJ0796dDRs24O7uTkBAAHPnziUwMBB7e3scHR25ePEiK1asYM+ePcp/M7i7u1OzZk0GDRrElClTMDU15enTpxw/fpzixYvTr18/ZYhLIYQQ4r/6z9myRIkSWkm2ALdu3SI1NZVq1aplub5WrVo8ffqUu3fv4uHhgb29PevXr6d169asWbPmrc61fft2Zf8GDRowe/Zsnj179h6uQgghxIcsX0wtEx0dDaQ/zWbFzMwMgD///BNDQ0NGjx5NuXLl6Nq1K87Ozm91rgoVKtC7d2/Kli3LoEGDSEhI4O7du+92AUIIIT54+SLhZiTUl19Tetm///4LwPXr16lUqZJatXONGjXe6lylS5dW/m1qmj71nrxnLIQQ4l3li4RbtWpVdHV1uXnzZpbrb9y4gYWFBaVLlyYtLU1t3aufX5WSkqL2WV9fptsTQgjx/uWLhGthYYGzszO+vr6ZnjZjYmLYuHEj7du3p2LFigQGBqol0ZeTtL6+PrGxsUoSTktL49GjR9q5CCGEEB+0fJFwAYYPH05cXBxDhw7F39+ff/75h1OnTjFw4ECsrKxwdXWlVatWxMXFsWDBAkJCQti5cyeHDh1CpVIB6U/KsbGxrFu3jtDQUBYvXqy0DwshhBA5Kd8kXEtLS1atWoW9vT1Tpkzhyy+/ZMGCBTRr1oyVK1diZGREoUKFmD9/PpcvX+brr79m7969tG3bVmnTtbGxwcPDg02bNtGzZ0+SkpJo2bJlLl+ZEEKID8Fr38PNaywsLBgxYgQjRozIcn1oaCipqals2LBBWTZnzhwsLS2Vzz169KBHjx5Z7j9p0qRMy86ePfuOUQshhBD56AlXE7GxsQwePJgjR44QFhbGsWPH+P3339/61SAhhBDifctXT7hvYm9vz5gxY1i2bBmPHz/GysoKDw8PGjdunNuhCSGE+MAVqIQL0KlTJ7Uxn3Oaj4+p1s71MmvrAlU5IYQQBV6BS7jaVr++vLcrhBDizeQxSQghhNACSbhCCCGEFkjCFUIIIbRA2nDf0blzSTl6fGtrHWxsdHP0HEIIIXKeJNx35Ooak6PH9/ExlYQrhBAFgFQpCyGEEFogCVcIIYTQgnyVcB0dHTONbXzx4kWcnJyYN29eLkUlhBBCvFm+SrivCgwMZNSoUbRs2ZJRo0bldjhCCCFEtvJtwg0NDcXDwwNHR0cmTJigzHkrhBBC5EX5MuFGRkYybNgwKlSowLRp09DV/V8v3oiICL777jucnZ355JNP6NmzJ/7+/gA8evQIR0dHjh49yueff07z5s0ZNWoUUVFRyv5XrlzB1dWVJk2a0LFjR7Zu3artyxNCCFEA5buEGxsbi4eHB48fP2batGno66uPZTxp0iSSk5Px9fVl/fr1WFlZMXv2bLVt1qxZw9SpU5k/fz7Xr19n/fr1AAQHBzN48GBq167N+vXrcXV1xcvLi8OHD2vt+oQQQhRM+S7hzpkzBwB9fX3Wrl2bab2TkxNjxozB1taW8uXL88UXXxAcHExaWpqyjaurK9WrV6dOnTq0bt2aGzduALBz504qVKjAt99+S9myZXFxcaFr165KQhZCCCH+q3w38IWZmZny1Dlv3jyaN29OjRo1lPVdunTh4MGDXLlyhZCQEG7dugVASkqKsk3p0qWVf5uYmJCcnAzAvXv3qFatmtr5HBwc2LZtW05ekhBCiA9AvnvCHT58OBYWFnTp0oUaNWowdepUEhISAEhNTWXIkCFs2LABKysrevbsyaRJkzId49Vq6AwGBgaZlqWkpKglayGEEOK/yHcJN6ODlEqlYvz48YSFhbFy5UogvQ324sWLeHl50b9/fxo3bsyTJ080PratrS3Xr19XW3b16lXKlCnz/i5ACCHEBynfJdyX2dra0rdvXzZu3MiVK1cwNTVFR0eHQ4cOERYWxpEjR/D29gYgMTHxjcfr0qULd+7cYdmyZYSEhLB37162bdvGl19+mdOXIoQQooDL1wkXoG/fvpQrV45p06Zhbm7OuHHj8PPzo1u3bqxZs4ZRo0ahp6fH7du333gsKysrPD09OXPmDF9//TWrV6/Gw8ODTp065fyFCCGEKNBUUVFRaW/eTGSnVq2nOXp8Hx9T6tfPus05PwgMDKRixYq5HUa+IGWlGSknzUlZaUZb5ZTvn3CFEEKI/EASrhBCCKEFknCFEEIILch3A1/kNT4+pjl6fGtr+U4khBAFgSTcd5SfOzQJIYTQHnl8EkIIIbRAEq4QQgihBVKl/I7OnUvK0eNbW+tgY6P75g2FEELkaZJw35Gra0yOHt/Hx1QSrhBCFABSpSyEEEJogSRcIYQQQgvyVZVyx44dCQsLA9Kn5zMyMqJixYp88803NGzY8I37X7hwgUGDBnHq1Cn09PQICAggNjaW2rVr53ToQgghPnD57gnXw8ODffv2sWfPHlavXo2DgwMjR47k7Nmzb32sMWPGEBISkgNRCiGEEOryXcI1MTHB0tKS4sWLY2dnx7Bhw2jVqhWenp65HZoQQgiRrXyXcLPSqVMn7t69y4MHD4iJiWHy5Mk0b96cNm3aMGPGDGJjYzPt4+7uTlhYGDNmzGDKlCkA/PXXX/Tq1YvGjRvTvHlzxo8fT0xMzvZCFkII8WEoEAnX1tYWgODgYKZNm8azZ8/w9vbG09OTkJAQpk6dmmmf2bNnU6JECTw8PBg1ahShoaF89913fP7552zZsoWZM2dy/vx5duzYoe3LEUIIUQDlq05T2TE1TZ9A4M6dO/zxxx8cPHgQc3NzACZPnkzHjh15/Pix2j7m5ubo6upiYmKCqakpkZGRjBw5ks6dOwNQqlQpHB0dCQoK0u7FCCGEKJAKRMLNqDKuWLEiaWlpdOjQIdM2ISEh6OpmP4BEmTJlMDAwYPXq1QQFBSk/rVq1yrG4hRBCfDgKRMK9c+cOAA8ePMDY2JgNGzZk2sbS0pIbN25ke4yAgABcXV1xcnKiVq1afP3112zatCnHYhZCCPFhKRBtuLt27aJy5co0bNiQuLg4UlNTsbGxwcbGBoCFCxdm2XHqZb///jsODg5Mnz6dL774gqpVq/LgwQPS0tK0cQlCCCEKuHz3hBsbG0tERAQAUVFR7Nq1i0OHDrFkyRJsbW1p2LAhkyZNYvTo0RgYGDB79mxSU1OxtLTM9M5toUKFCAkJ4dmzZ5ibmxMUFMS1a9cwMzNjx44d3LhxA2tr69y4TCGEEAVMvku4ixYtYtGiRQAULVqUSpUqsWzZMmrVqgXAlClTmD9/PkOHDkWlUuHo6Mjo0aOzPNaXX37J4sWLefToEZMnT+b27dsMHToUfX19ateuzYABA9i/f7+2Lk0IIUQBpoqKipI603dQq9bTHD2+j48p9evr5+g5clJgYCAVK1bM7TDyBSkrzUg5aU7KSjPaKqcC0YYrhBBC5HWScIUQQggtkIQrhBBCaEG+6zSV1/j4mObo8a2t5TuREEIUBNJpSgghhNACeXwSQgghtEASrhBCCKEFknCFEEIILZCEK4QQQmiBJNy3kJiYyIwZM3B2dqZNmzasW7cut0PSmv379+Po6Kj2kzFkZlhYGEOHDqVJkyZ07dqVU6dOqe17/vx5vv76a5ycnHB3d+fBgwdq6zdv3oyLiwvNmjVj6tSpxMXFae263qfExES6d+/O2bNnlWU5WTb59X7MqpxmzJiR6f56ebauD62cHj58yMiRI3F2dsbFxYWFCxeSkJAAyD31steVU168pyThvoXFixdz5coVlixZwvfff8/PP//MwYMHczssrQgODqZZs2bs27dP+Zk0aRJpaWmMHj0ac3Nz1qxZQ7t27Rg3bhyhoaEAPH78mNGjR9OmTRvWrl1LsWLFGD16NKmpqQAcO3aMFStWMHbsWJYtW8aNGzdYuHBhLl7pf5OQkMDEiRMJCgpSluV02eTH+zGrcoL0+2vYsGFq91fnzp2BD6+ckpKSGDVqFAYGBvj6+jJ16lT+/PNPli9fLvfUS15XTpA37ylJuBqKi4vjt99+Y+TIkVSpUoWmTZvSs2dPtm7dmtuhaUVwcDAVKlTA0tJS+SlcuDDnz5/n/v37fP/995QvX54+ffrg4ODArl27ANi5cycVK1akd+/elC9fnh9++IHw8HDOnz8PwKZNm+jatStNmjShatWqfPfdd+zdu5cXL17k5uW+laCgIPr378/Dhw/Vludk2eTH+zG7coL0+6tKlSpq95eRkRHw4ZXT9evXefDgAT/++CO2trbUqVOHgQMHsn//frmnXvK6coK8eU9JwtVQYGAgiYmJ1KxZU1lWq1Ytbty4QXJyci5Gph3BwcGULVs20/Jr165hb2+PiYmJsqxmzZpcvXpVWV+7dm1lnZGREZUqVeLq1aukpKRw8+ZNtfXVq1cnJSWF27dv5+DVvF+XLl3i448/ZvXq1WrLc7Js8uP9mF05RUREEB0dneX9BR9eOZUtW5aFCxdSqFAhZZlKpSIpKUnuqZe8rpzy6j0lI01pKCIiAjMzMwwNDZVlRYsWJSkpiaioKCwtLXMxupyVlJTEw4cPOXHiBN7e3qSmpuLs7IybmxsREREUL15cbfuiRYsSHh4OpJfbq2WTsf758+ckJCSo7a+np4e5ubmyf37w+eefZ7k8J8tGX18/392P2ZVTcHAwurq6rFixgtOnT2Nubs7XX3+Ni4sL8OGVU5EiRXB0dFQ+p6amsnXrVmrVqiX31EteV0559Z6ShKuh+Ph4DAwM1JZlfE5MTMyNkLTm/v37pKSkYGxszMyZMwkNDWX+/Pm8ePGChIQE9PXVpw80MDAgKSkJyLrc9PX1SUxMVDo3vLq/vr6+sn9+Fh8fn2Nlk5KSUmDux3v37gFQsWJFunXrhr+/PzNnzsTIyIgWLVp88OW0cOFCbt++zZo1a9i4caPcU9l4uZz8/f2BvHdPScLVkIGBQabCzPic0S5QUNnZ2XHw4EEsLCwAsLe3Jy0tjYkTJ9KpUydiY2PVtk9MTFTKJKtyS0pKwtzcXLlJX02uSUlJat8e8ytDQ8McKxuVSlVg7scvvviCVq1aYW5uDqT/kbx//z7bt2+nRYsWH2w5paWlsWDBArZt28asWbOws7OTeyoLWZVT+fLl8+Q9JW24GipRogTPnz9X+yU8efIEAwMDzMzMcjEy7chIthnKlStHcnIylpaWPHnyRG1dZGQkxYoVA9LL7dX1T548wdLSEnNzcwwNDdXWJycn8+zZszxXffVfFC9ePMfKpiDdjyqVSvnDmMHW1pZ///0X+DDLKTU1lWnTprF9+3ZmzJhB06ZNAbmnXpVdOeXVe0oSrobs7e3R19fnypUryrLLly9TuXJl9PQKdkXBsWPHaNOmjdoNFhAQQOHChalevToBAQFq76hdunSJ6tWrA+mdDS5fvqysi4+PJyAggOrVq6Ojo0OVKlW4dOmSsv7q1avo6upSqVKlnL+wHJaTZVOQ7seFCxcyYsQItWW3b9+mXLlywIdZTgsXLuTAgQPMnj2b5s2bK8vlnlKXXTnl1XtKEq6GjIyM+Oyzz5gzZw7Xr1/n+PHjbNiwgW7duuV2aDmudu3apKWlMWPGDEJCQjhx4gSLFy+mZ8+e1K1bF2tra6ZMmcLdu3dZu3Yt165do1OnTgC0b9+e69evs3r1aoKCgpg+fTpWVlbUr18fSK9O3LhxI8eOHePGjRvMmTOH9u3bq/U8zK/q1KmTY2VTkO7HJk2acPr0aTZv3szDhw/ZunUr+/bto2fPnsCHV05Xr17ll19+wc3NjSpVqhAREaH8yD31P68rp7x6T8n0fG8hPj6eWbNmcezYMUxMTOjRowc9evTI7bC04vbt2yxcuJAbN25gampK586d+eabb1CpVDx48IDp06dz/fp1SpcuzYgRI2jQoIGy76lTp/D09OSff/6hevXqTJgwgY8++khZv3btWjZt2kRiYiLNmjVj7NixebrN6HUcHR1ZsmSJ0nsyJ8smP9+Pr5bToUOHWLVqFQ8fPqR06dK4u7urPbF8SOW0aNEi/Pz8slx36tQpwsLC5J7izeV07NixPHdPScIVQgghtECqlIUQQggtkIQrhBBCaIEkXCGEEEILJOEKIYQQWiAJVwghhNACSbhCCCGEFkjCFVrl7u5Ow4YNlenEXuXq6oq7u7tWYnn06BGOjo7s3LlTK+d7G+Hh4Xz77bc4OTnRokUL7t+/n+22MTExrFq1ih49etCsWTNatmyJm5sbhw8f1mLE7y7j9/HyT6NGjWjbti3jxo3j2rVrattfuHABR0dHzp49+95icHd3x9XV9b0dT9vy8j0tZPICkQtSUlKYMmUKGzZsyLcDXOS0jRs34u/vz8SJEylRogSlSpXKcrv79+/j4eFBQkICX375JZUqVSIhIYGjR48yfvx4rl69mmmIu7yud+/eNG7cGEgfFD48PJytW7fi6urKrFmzlPFyK1WqhLe3NxUqVMjNcIXQmCRcoXWmpqbcv3+fZcuWMXLkyNwOJ0+Kjo6mWLFiyvydWUlOTmb8+PGoVCrWrVunNuFD8+bNKV68OBs2bKBx48bKkHX5wUcffUStWrXUlrVu3RpXV1emTZtG3bp1MTU1xdTUNNN2QuRlUqUstM7Ozo6OHTuyefNmZd7K7GRVxffgwQMcHR3Zs2cPoF61mFEN2759e3799VciIyOZOHEizZo1o23btixZsoS0NPXB1Z48ecLo0aNxcnLCxcWFFStWkJycrLbNX3/9Rd++fXFycqJ169bMmjWLmJgYZf2ePXto2LAhe/bs4bPPPqNFixZcv349y2uKiYlh4cKFdO7cmcaNG9OtWze1KsCOHTuyZ88e/v33XxwdHZkyZUqWxzl16hQBAQEMGjQoy9mV+vfvT+fOndUGVPf392fo0KE4OzvTqFEjOnbsiLe3NykpKco2586dY8CAATRr1ozmzZszdOhQbt68qXbsK1euMGjQIJo0aYKzszMTJ05UZmLJsG3bNrp164aTkxNt2rRhypQpmWZo0ZS+vj4DBw4kOjqaI0eOAJmrlBMSEpg/fz7t27fnk08+4fPPP8fb21vtd/nixQsWLFiAi4sLTk5O9OzZUzneyzZt2kTHjh1p3LgxvXr14u+//1Zbr0k5Ojo6smrVKvr374+TkxOLFy9Wys7NzY0mTZrQoUMHtmzZwuDBg9V+z4mJiSxZskS5lm7duin3+8t27dpF165dcXJyol+/fgQFBf2n8hXaIQlX5Irhw4djbW3NtGnT1GY+eRcTJ07k448/Zs6cOdjY2DB79mwGDRpEiRIl+Omnn2jUqBHr1q3j0KFDavv5+vpSqFAhZs6cyWeffcaaNWtYvny5sv7QoUOMHj0aa2trZsyYgaurK4cPH8bDw0Ptj3lKSgorV65kzJgxDBkyJMsZj+Lj43F1dWXv3r10796d2bNn4+DgwIwZM/D19QVg5syZNGrUiCJFiuDt7U2/fv2yvN6TJ0+iq6vLJ598kuV6U1NTvv/+e2rXrg2kz/A0ePBgTExMmDp1KnPmzKFGjRr4+vpy8OBBAB4+fMjIkSMpW7Yss2bN4scff+Tp06cMHTpUmYf18uXLSjv7lClTGDFiBFevXmXgwIHKl5D9+/ezYMEC2rVrx/z583F3d+evv/5i0qRJb/5FZqN+/fro6OiozfLysvnz53Ps2DEGDhyIp6cnbdq0YdWqVaxbtw5In8rNw8OD3bt30717d+bMmUOlSpUYP348J0+eVI5z7do19u3bx9ChQ5k2bRoJCQmMGTOGqKgojcsxw6pVq2jQoAEzZsygZcuW3Lt3j8GDB5OamsqUKVPo378/q1evVpt5BmDcuHFs2bKFLl26MGfOHGrXrs3UqVPZtm2bss2OHTuYPn06tWrVYtasWTRs2JAJEyb85/IVOU+qlEWuMDExYeLEiQwZMgQvLy/Gjh37zsds27Ytffr0UY4/YMAA7OzsGDZsGAANGzbkyJEjXL58mVatWin71atXj6lTpwLQuHFj4uPj2bJlC7169cLc3JzFixdTp04dZs2apexTsWJFXF1dOXLkCK1bt1aW9+nTR22A9Fft2bOHu3fvsmLFCurUqQPAJ598QkpKCmvWrKFLly5UrVqVIkWKoK+v/9oq0/DwcMzNzTWeWSkgIIA6derw008/oaurC0CjRo04deoUFy5coG3btty8eZOEhATc3d0pXrw4kD738e7du4mJicHExIQlS5ZQqlQpFi9ejL6+PpA+o1TXrl3Ztm0bffv25dKlS5QuXZpevXqhUqkAKFq0KLdu3SItLU1Z9jb09PSwsLDI9in50qVLNGrUSKmGd3R0xMTEhCJFigBw5swZLl++zE8//UTLli2B9Hvin3/+4e+//1a+uOjq6rJ48WJlP0NDQ4YPH87Vq1dxcnLSqBwzVKpUCTc3N+XzpEmTMDExwcvLC2NjYwDKly/PgAEDlG3Onj3LyZMnmTRpEu3atQPS75HU1FSWL1+Oi4sLhoaG+Pr60qRJE8aPH69so6ury8qVK9+6bIV2yBOuyDX169enS5cubN++/b30NH05OWVUsTo4OCjLdHR0MDMz4/nz52r7vZx8Ib39MyEhgStXrnD//n0eP35Ms2bNSE5OVn6qVauGpaVlpqrGN3Xg8ff3p0SJEkqyzdCuXTsSExOz7b2dFV1dXVJTUzXe3sXFhaVLl5KamkpQUBB//vknvr6+pKSkKHMd16hRA2NjY/r168eiRYv4+++/KVWqFMOGDcPKyor4+HiuXr1K48aNUalUSnlYWVlRqVIlpTw+/vhjQkJC6NOnDz///DM3b97EyckJNze3/5RsX5bd/hm9c0eMGMG2bdsIDQ2lR48efPbZZwBcvHgRHR2dTF+Ili5dqtaXoFy5ckqyBShdujSQ3q6uaTlmsLOzU/t84cIFGjZsqCRbSL9HS5YsqXw+d+4ckD5t4cv3XLNmzXj+/Dk3btzg/v37RERE0KxZM7Xjt2nTJvuCE7lOnnBFrho6dCinT59m+vTpbNy48Z2OldWT3qu9oLP6Y12sWDG1z0WLFgXS/8BmVCPOnz+f+fPnZ9r31XbLV4/1qujoaOX4We336peB17G2tubEiRPExsZiYmKS5TZhYWFYWVmho6NDQkICCxYsYN++fSQmJlK6dGlq1KiBnp6e0q5tbW2Nj48P69atY9euXfj5+VGoUCHatWvH8OHDiY6OJjU1lY0bN2b5+7KxsQHSv7TMnj2bbdu24evry/LlyylRogT9+vWjS5cuGl/jyxISEnj27BklSpTIcv3w4cMpWbIk+/btY+7cuaSlpWFvb8+oUaOoXbs2UVFRmJmZvXGS8JeTIaR/UQOUMtKkHDO8ej88ffpULZlntV3GPefs7JxlfOHh4co1WFhYqK3Lqi1f5B2ScEWuMjY25ocffmDQoEEsXLgw03qVSqXWEQVQ2hKz2va/yHhyyZBRZVm0aFFMTU0BGDx4cJY9fbNLdNkxMzPj3r17mZZnJO5X/4C+ToMGDdiyZQunTp1SqkhfFh8fz1dffUWjRo2YMWMG8+fP59ChQ/z000/Ur19fSSwvV4kD2NvbM336dFJSUrh+/Tp79+5l69atlCxZks8//xyVSkW3bt2yfJoyMDBQ/t28eXOaN29OfHw8586dY+PGjcyePZsqVapQtWpVja8zg7+/PykpKZlqBzLo6ekp85JGRkZy6tQpVq1axZgxY/j9998pXLgwz58/Jzk5WS3p3rlzh7i4OGrUqKFRHJqWY1ZKlCiRZZV4ZGQkZcuWBaBw4cIYGhpmWzVcqlQp5Z599VgZyVrkTVKlLHJdnTp16NatG7t27eLOnTtq60xMTAgPD1d7crhw4cJ7Pf/x48fVPh84cABDQ0OqV69OuXLlKFq0KKGhoVStWlX5KVWqFF5eXm9VBQzp1xoeHp6pd/b+/fvR1dWlevXqGh+rQYMGVKhQgRUrVhAZGZlp/bJly3jx4gXt27cH0js71a5dmyZNmihJ4saNGzx9+lSpmt60aRMdOnQgISEBXV1dHBwc+O677yhUqBBhYWEUKlSIypUrExwcrFYeFStWxNfXV+l8NH78eEaPHg2k1zI4OTkxdOhQIP2p+20lJyezatUqihYtmqkaFdK/XHTp0oX169cD6V+WXFxc6NKlC9HR0cTGxlKrVi1SUlL466+/1PadPXs2y5Yt0zgWTcoxO3Xq1OHMmTPEx8cry27dusWjR4/UtklISCA5OVmtjB88eMDy5cuJj4+nTJkylCxZMlMHwD///FPj6xDaJ0+4Ik/49ttvOXXqVKYRlZycnDh+/DizZ8/m008/5datW2zduvWd2wFfduLECRYsWECjRo04c+YMO3fuZMCAAZiZmQHpT7fTp08H0tvV4uLiWLduHQ8fPnzrzl4uLi5s3bqVcePG4erqSunSpTl+/Di7d++mX79+mJuba3wsPT09Jk+ezLBhw+jduzddu3bF3t6e6Oho9u/fz4kTJ+jTpw8NGzYEoFq1ahw6dIgtW7ZQrlw5AgMDWbt2LSqVSkkA9erVY+nSpYwaNYovv/wSAwMD9u/fT3x8vFLFOXjwYDw8PPjuu++UDkKbN2/m4sWLfP3118pxZs2axdy5c5WOaOvXr8fCwuKN7wQ/fPiQS5cuAZCUlMSjR4/YuXMnAQEBzJkzJ8vBUoyMjKhSpQq+vr7o6OhQsWJFwsLC8PPzo169elhYWPDJJ59Qo0YNpk+fTnh4OGXKlOHw4cNcu3aNRYsWaVzumpRjdvr27cvBgwcZOnQoPXr0ICYmhpUrV6Kjo6NUXTdq1Ii6desyduxY+vbtS/ny5bl9+zY+Pj44ODhgbW0NpDfHTJgwgYkTJ9KmTRuCgoKULxwib5KEK/IEIyMjfvzxR7UenZCeoB49esTu3bvZu3cv1atXx9PTk169er23c48cOZIjR46wY8cOihUrhoeHh5I4ANq3b4+JiQnr1q1j3759GBkZUaNGDSZMmICtre1bncvIyIiVK1eydOlSVq9eTUxMDGXKlGH8+PF06tTprWO3t7dn7dq1+Pn5sWvXLsLDwzE2NqZ8+fLMmzePJk2aKNt6eHiQlJSEj48PSUlJlCpVin79+hESEsIff/xBcnIyFStWZMGCBaxatYqpU6eSmJhIxYoVmTt3rlKV6+joyJIlS/Dx8eGHH35AT08Pe3t7Fi1aRL169QD4/PPPSU1NZfv27ezevRs9PT1q167NxIkTlS8y2Vm3bp3yKo+hoSHFixenVq1ajB8/nooVK2a734QJE1i5ciVbtmwhIiICc3NzmjZtyrfffgukdzJbtGgRy5Yt4+eff+bFixfY2dmxYMECHB0dNS5zTcoxu3ZiGxsbFi9ejJeXFxMnTqRo0aL0798fX19f5WlZR0cHT09PvL298fPzIzIyEktLS7p06aL2TnqLFi3Q0dHB19eX7777DhsbG6ZOnYqHh4fG1yK0SxUVFZX25s2EEEK8qzNnzqCvr0/dunWVZdHR0bRp04bhw4fTtWvXXIxO5DR5whVCCC25c+cOK1aswN3dnUqVKvHs2TM2bdqEmZlZptfTRMEjCVcIIbTk66+/JjExkZ07d/L48WOMjY2pW7cuU6dOfase6iJ/kiplIYQQQgvktSAhhBBCCyThCiGEEFogCVcIIYTQAkm4QgghhBZIwhVCCCG0QBKuEEIIoQX/B8p/v8Sg8tyFAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "covid_disch_plot = sns.barplot(x='Number of Cases Discharged', y='States Affected', data=covidnig_10Discharged, color = 'blue').set_title('Top 10 covid Discharges')\n" + ] + }, + { + "cell_type": "markdown", + "id": "0ad7bc8a", + "metadata": {}, + "source": [ + "Lagos showing the highest number of discharges is because it has a high population figure, hihest number of confirmed cases and better health management system." + ] + }, + { + "cell_type": "markdown", + "id": "73ee3cb3", + "metadata": {}, + "source": [ + "TODO D - Plot the top 10 Death cases" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "5d9f17bb", + "metadata": {}, + "outputs": [], + "source": [ + "#Plotting the top 10 Death cases" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "ab31af8a", + "metadata": {}, + "outputs": [], + "source": [ + "#Generating a plot that shows the Top 10 states in terms of death cases. Hint - Sort the values\n", + "covidnig_10Deaths = covidnig.sort_values('Number of Deaths', ascending = False)\n", + "covidnig_10Deaths = covidnig_10Deaths.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "05873dbe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "covidngdeaths_plot = sns.barplot(x='Number of Deaths', y='States Affected', data=covidnig_10Deaths, color = 'blue').set_title('Highest Death Cases')\n" + ] + }, + { + "cell_type": "markdown", + "id": "204b639c", + "metadata": {}, + "source": [ + "Lagos having the highest death cases also due to its high population and number of confirmed cases." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8dea2020", + "metadata": {}, + "outputs": [], + "source": [ + "#Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "de574c85", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Lat 9.0820\n", + "Long 8.6753\n", + "1/22/20 0.0000\n", + "1/23/20 0.0000\n", + "1/24/20 0.0000\n", + " ... \n", + "8/18/22 262748.0000\n", + "8/19/22 262748.0000\n", + "8/20/22 262912.0000\n", + "8/21/22 262912.0000\n", + "8/22/22 262912.0000\n", + "Name: Nigeria, Length: 946, dtype: float64" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#extracting data for confirmed cases in Nigeria\n", + "confirmed_nig = JH_confirmed_global.groupby('Country/Region').sum().loc['Nigeria']\n", + "confirmed_nig" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "eb9f4215", + "metadata": {}, + "outputs": [], + "source": [ + "TotalConfirmed=JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "7658da46", + "metadata": {}, + "outputs": [], + "source": [ + "TotalRecoveries=JH_Daily_Recovery_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "9a3442af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recovered Cases 39492087\n", + "dtype: int64" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalRecoveries" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "1a7e95d0", + "metadata": {}, + "outputs": [], + "source": [ + "TotalDeaths = JH_Daily_Deathsdf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "1b6acec0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Country/Region AfghanistanAlbaniaAlgeriaAndorraAngolaAntarcti...\n", + "Death Cases 3210225599\n", + "dtype: object" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalDeaths" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "30b584e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Confirmed Cases 135384240\n", + "dtype: int64" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalConfirmed" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "4bb78c77", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "Totaldeaths=JH_Daily_Deathsdf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "b03e0e6d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
total
Confirmed Cases134858416
Recovered Cases39492087
Death Cases1768099
\n", + "
" + ], + "text/plain": [ + " total\n", + "Confirmed Cases 134858416\n", + "Recovered Cases 39492087\n", + "Death Cases 1768099" + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Getting a dataframe for total daily cases\n", + "z = np.array([134858416, 39492087, 1768099])\n", + "df2 = pd.DataFrame(z, columns=['total'], index=[\"Confirmed Cases\", \"Recovered Cases\", \"Death Cases\"])\n", + "df2" + ] + }, + { + "cell_type": "markdown", + "id": "2ad89fb5", + "metadata": {}, + "source": [ + "TODO E - Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "c134d84c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Confirmed Cases')" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for confirmed cases in Nigeria using seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Confirmed_Nigeriadf , x = 'Date', y = 'Confirmed Cases').set_title('Daily Total Confirmed Cases')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9b4c5b23", + "metadata": {}, + "outputs": [], + "source": [ + "The apparent increase in daily confirmed cases are cummulative values" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "fb51b47b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Recoveries')" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for Recovered cases in Nigeria using seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Recovery_Nigeriadf , x = 'Date', y = 'Recovered Cases').set_title('Daily Total Recoveries')" + ] + }, + { + "cell_type": "markdown", + "id": "d65ffa95", + "metadata": {}, + "source": [ + "Increased daily recovery cases were recorded. These records again were cummulative values. No record of recovery in Nigeria was recorded from 2021-09 because only death cases were recorded as cummulative lac confirmed cases increased as time of data retrieval in August 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "b7211359", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Deaths')" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for death cases in Nigeria using a seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Deathsdf , x = 'Date', y = 'Death Cases').set_title('Daily Total Deaths')" + ] + }, + { + "cell_type": "markdown", + "id": "906c6d18", + "metadata": {}, + "source": [ + "Record for daily total deaths were cummulatively increasing as at the time of data retrieval in August 2022." + ] + }, + { + "cell_type": "markdown", + "id": "104f09fa", + "metadata": {}, + "source": [ + "TODO F -\n", + "\n", + ">Determine the daily infection rate, you can use the Pandas diff method to find the derivate of the total cases.\n", + ">Generate a line plot for the above" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "d57cb913", + "metadata": {}, + "outputs": [], + "source": [ + "#Determine the daily infection rate, using the Pandas diff method to find the derivate of the total cases.\n", + "JH_Daily_Confirmed_Nigeriadf['Infection Rate'] = JH_Daily_Confirmed_Nigeriadf['Confirmed Cases'].diff()" + ] + }, + { + "cell_type": "markdown", + "id": "c974e000", + "metadata": {}, + "source": [ + "TODO J -\n", + "\n", + ">Provide more analyses by extending TODO G & H. Meaning, determine relationships between more features.\n", + ">Provide a detailed summary of your findings." + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "2e78df9a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateConfirmed CasesInfection Rate
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\n", + "
" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "0 2020-01-22 0 NaN\n", + "1 2020-01-23 0 0.0\n", + "2 2020-01-24 0 0.0\n", + "3 2020-01-25 0 0.0\n", + "4 2020-01-26 0 0.0\n", + ".. ... ... ...\n", + "939 2022-08-18 262748 84.0\n", + "940 2022-08-19 262748 0.0\n", + "941 2022-08-20 262912 164.0\n", + "942 2022-08-21 262912 0.0\n", + "943 2022-08-22 262912 0.0\n", + "\n", + "[944 rows x 3 columns]" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Checking if new data has been created\n", + "JH_Daily_Confirmed_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "edf41ce5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Generating a line plot for daily infection rate in Nigeria from global data\n", + "plt.figure(figsize = (20,10))\n", + "sns.lineplot(x = 'Date', y = 'Infection Rate', data = JH_Daily_Confirmed_Nigeriadf)" + ] + }, + { + "cell_type": "markdown", + "id": "3aa2ff9d", + "metadata": {}, + "source": [ + "TODO G -\n", + "\n", + ">Calculate maximum infection rate for a day (Number of new cases)\n", + ">Find the date" + ] + }, + { + "cell_type": "markdown", + "id": "ce9ddd7c", + "metadata": {}, + "source": [ + "#Calculating maximum infection rate for a day (Number of new cases)\n", + "#Find the date\n", + "Highest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].max()" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "8baf6f59", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6158.0" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Highest_infection_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "d0baa6e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateConfirmed CasesInfection Rate
7002021-12-222314136158.0
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" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "700 2021-12-22 231413 6158.0" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == 6158.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "fe6fc629", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-30.0" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Calculating minimum infection rate for a day (Number of new cases)\n", + "Lowest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].min()\n", + "Lowest_infection_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "39a3618a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateConfirmed CasesInfection Rate
8122022-04-13255633-30.0
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" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "812 2022-04-13 255633 -30.0" + ] + }, + "execution_count": 114, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date for minimum infection rate\n", + "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == -30.0]" + ] + }, + { + "cell_type": "markdown", + "id": "4adb27f6", + "metadata": {}, + "source": [ + "TODO H - Determine the relationship between the external dataset and the NCDC COVID-19 dataset. Here you will generate a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. From the graph, explain your observation.\n", + "Steps\n", + "\n", + ">Combine the two dataset together on a common column(states)\n", + ">Create a new dataframe for plotting. This DataFrame will contain top 10 states in terms of confirmed cases i.e sort by confirmed cases. Hint: Check out Pandas nlargest function. This tutorial can help out\n", + ">Plot both variable on the same axis. Check out this tutorial" + ] + }, + { + "cell_type": "markdown", + "id": "d06167ae", + "metadata": {}, + "source": [ + "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset. \n", + "# Will generate and explain a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. " + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "a9211792", + "metadata": {}, + "outputs": [], + "source": [ + "#Combine the two dataset together on a common column(states)\n", + "NCDC_external = covidnig_rn.merge(covid_external, on = 'states', how = 'inner')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "609028d1", + "metadata": {}, + "outputs": [], + "source": [ + "#Obtain top 10 Lab confirmed cases fro external data using df.nlargest()\n", + "Top10_NCDC_external = NCDC_external.nlargest(10, 'No. of Cases (Lab Confirmed)')" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "9582ba5f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
16Abia980.025.0945.010South East41900000.20.90.60.10.30.90.20.01.14
17Osun979.020.0937.022South West52520000.00.70.40.40.00.80.10.21.06
18Bauchi897.0108.0775.014North East72700000.80.10.20.80.80.20.80.80.85
19Borno778.037.0705.036North East66510000.90.30.11.01.00.10.70.90.89
20Imo734.061.0661.012South East60180000.41.00.90.00.40.90.40.01.12
21Benue515.044.0460.011North Central63760000.50.70.50.70.40.40.30.50.91
22Bayelsa497.055.0421.021South South26060000.50.80.60.10.90.50.20.71.00
23Ekiti405.024.0375.06South West35930000.30.80.30.50.20.80.10.41.03
24Akwa Ibom395.044.0342.09South East60930000.70.80.70.60.80.80.50.11.01
25Jigawa386.057.0318.011North West64350000.90.40.00.70.60.50.90.80.92
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" + ], + "text/plain": [ + " states No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "16 Abia 980.0 25.0 \n", + "17 Osun 979.0 20.0 \n", + "18 Bauchi 897.0 108.0 \n", + "19 Borno 778.0 37.0 \n", + "20 Imo 734.0 61.0 \n", + "21 Benue 515.0 44.0 \n", + "22 Bayelsa 497.0 55.0 \n", + "23 Ekiti 405.0 24.0 \n", + "24 Akwa Ibom 395.0 44.0 \n", + "25 Jigawa 386.0 57.0 \n", + "\n", + " No. Discharged No. of Deaths region Population \\\n", + "16 945.0 10 South East 4190000 \n", + "17 937.0 22 South West 5252000 \n", + "18 775.0 14 North East 7270000 \n", + "19 705.0 36 North East 6651000 \n", + "20 661.0 12 South East 6018000 \n", + "21 460.0 11 North Central 6376000 \n", + "22 421.0 21 South South 2606000 \n", + "23 375.0 6 South West 3593000 \n", + "24 342.0 9 South East 6093000 \n", + "25 318.0 11 North West 6435000 \n", + "\n", + " Overall CCVI Index Age Epidemiological Fragility Health System \\\n", + "16 0.2 0.9 0.6 0.1 0.3 \n", + "17 0.0 0.7 0.4 0.4 0.0 \n", + "18 0.8 0.1 0.2 0.8 0.8 \n", + "19 0.9 0.3 0.1 1.0 1.0 \n", + "20 0.4 1.0 0.9 0.0 0.4 \n", + "21 0.5 0.7 0.5 0.7 0.4 \n", + "22 0.5 0.8 0.6 0.1 0.9 \n", + "23 0.3 0.8 0.3 0.5 0.2 \n", + "24 0.7 0.8 0.7 0.6 0.8 \n", + "25 0.9 0.4 0.0 0.7 0.6 \n", + "\n", + " Population Density Socio-Economic Transport Availability Acute IHR \n", + "16 0.9 0.2 0.0 1.14 \n", + "17 0.8 0.1 0.2 1.06 \n", + "18 0.2 0.8 0.8 0.85 \n", + "19 0.1 0.7 0.9 0.89 \n", + "20 0.9 0.4 0.0 1.12 \n", + "21 0.4 0.3 0.5 0.91 \n", + "22 0.5 0.2 0.7 1.00 \n", + "23 0.8 0.1 0.4 1.03 \n", + "24 0.8 0.5 0.1 1.01 \n", + "25 0.5 0.9 0.8 0.92 " + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Top10_NCDC_external" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "9a6421b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2-axis plotting to establish relationship between overal CCVI index and Lab confirmed cases \n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['No. of Cases (Lab Confirmed)'])\n", + "ax1.set_ylabel('No. of Cases (Lab Confirmed)')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'r-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='r')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('r')\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "bffcdf76", + "metadata": {}, + "source": [ + "Benue, Borno, Bayelsa, Ekiti, Akwa-Ibom and Jigawa all indicated inverse relationship between the No. of Cases (Lab Confirmed) and Overall CCVI Index i.e as Number of Cases (Lab Confirmed) decreased, Overall CCVI Index tended to increase across these states with Jigawa having the highest overall ccvi index but with lowest lab confirmed cases. For Abia, Osun, Imo, overall ccvi index were lower at higher confirmed lab csaes. Bauchi state showed that high number of confirmed cases was at par with its high overall ccvi index i.e the impact of covid crisis can be directly linked to number of confirmed cases. Inverse relationships for other states further suggests that impact of covid crisis is unconnected to number confirmed lab cases alone." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6a1cf186", + "metadata": {}, + "outputs": [], + "source": [ + "#Further Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "id": "729ce8f8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2-axis plotting to establish relationship between overal CCVI index and Socio-Economic index\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Socio-Economic'])\n", + "ax1.set_ylabel('Socio-Economic')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'g-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='g')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('g')" + ] + }, + { + "cell_type": "markdown", + "id": "749e0d26", + "metadata": {}, + "source": [ + "For the top 10 states, here we see some direct correlation between Socio-Economic indices and overall CCVI index in most states. Generally Overall CCVI index are higher than Socio-Economic indices as Osun and Bauchi and Jigawa. Osun state had the lowest and equal Socio-Economic indices and Overall CCV index. Jigawa had the highest and equal Socio-Economic index and Overall CCVI index. It can be infered that the impact of the covid crisis is generally higher and can be traced to Socio-Economic indices such as poverty, unemployment, e.t.c " + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "03328e1e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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zXC4TGhvfxvHjo1BRcTus1sIO95NIzkNOzgYMHrwPavWCXpdnx+GIoFLdwmqL5RKB/tJJziI/jAmCCDWGYVBb+wTq6p71uoWH7Ox3z1SJIqIFCbijWEECHxunKcHzuBJkdQHX/9iMcoNvvi8RPZzOZtTVPY/jx4eipuYRn9JMZ8nlFyMvbysGDPgRCsW8Xp1j51si8BQMht2R61A3MQyD770C7jlJ7Pfj1nIrSSshCCJkGMaJysp70Nj4BqudokTIzf0vEhKujFDPwoembaisvA9HjmTh6NEBaGh41e++RuPvOHlyCg4fTsPJkxdCr/8pjD1tQwLuKHdRmgirJypYbU1WGlfvaEaLjZQLjDY0XYfq6n/g2LGhqK//F1yulg724kChuBIDB+5GXt4XkMsn94n8OoEgHQrFXFabRrMmQr3pviNaB2o86uOLuRTuzbFD4vHLuMbswkENWbiKIIjgo2kbysoWQqv9P1Y7hxOHvLxNiI+/NEI9C6/a2idgMu1DXt4W9Ou3GvX1L6Gl5Quf/RwODUpLr4NCMR+DBv0GheJvKC29EXZ7ZVj7SwLuGHDTACmWD5ez2opbnfj7T82wucgoWjSw22tQXr4EZvPfoNGsA8P4phRQlAhq9WIUFPyJnJz3IJGMiEBPI8t78qRe/z1strII9aZ7vNNJLkoTQsEHLs1gVxciaSUEQQSby2VEaem1aG39itXO46mRn/8VZLKJEepZeLlcJjQ1bUR6+vOQSEZCoZiF5OR7odG847OvybQHAJCSsgxCYQ5SUh4EhyOCyXQgrH0mAXeMeOw8Oa7KZS/Z/Vu9Hff81hKzebC9BcM4UFw8+8wkQN+VQbnceCQnL8eQIUfRr99LEAqzw97HaCGVjoNY7PlDg+nwAzKaeQfcl2e2Bdrzsr0C7goLeW8SBBE0TmcLSkrmw2DYxWrn8zOQn/9dnxrEsViOgWFskMnGt7dJpeNhNv8JhmGn+PF4yjMT9TeDYRjodNtA00aIxUPC2mdKp9P1mW+E4uLiSHeB6IWczv2wWu/0aaeoJPD5N4DPnw+KIit7neVwbIPN9rRHixRS6TegKEnE+kQQBBHNaLoJVuvdoOnTrHaKyoZY/Do4nNgtHXsu+fn5Pm063RZUVi7D8OGl7W1W6ymcODEOQ4eeZJXSZRgG1dX/OLP+AweAC5mZr0GlWhCG3rvxwvpoEdbRkxYKxcXFIXssrdWF6V9rcFrPHkl980IFbsyPjqAulOcfjWprP4bVY9BTIMhCSso/kJBwNTgcQeQ6FmZdfd5p+g4cP/6mx7LDJiQk7Edi4uLQdjAINpwy4b7fde3b56n5+GlOUvu53/RTM76qcL8Y7hsqw9Njekdpx870tfe8J3Lu5NxDzWYrR0nJHaDpcla7WDwS/ft/Dj5fHZZ+eIr0c0/TFp9qXhQlPHObzWtfE+z2SqSkLEd8/GwYDLtQXf0IRKLBkErHhKvLJKUk1ihFXHw2XQ2VkP3U3febDrtrOy9VRoSGwbCTtZ2a+jhUqhv7VLAdiI5LBK4Dw0T/JOBvvdNJvFaFnZfNTvvaXE7SSgiC6D6LpRBFRTNgt5ez2mWyC5CfvzUiwXY0oCiRT2DNMG3bHA77amlj42tgGBtSUx+DRDICycn3QaGYg/r6l8LWXyCCAbfdbsd1112Hffv2nXPfQ4cOYc6cOT7tO3bswBVXXIFJkyZh+fLl0Gq1oehq1MmN4+G/Fysh9Kgg52SAm3ZqcVJHKiOEk9Ophdl8iNUml18Ukb7EkrYSge4LbDZbkU9eYrSxOBns9lpdckYmO8C+rJ+I9b6sMLpwuJm8JwmCCJzJdADFxTPhdNaz2uPiZqB//8/B5cZFqGeRx+enwuXSgabd65I4HA2gKCF4vATWvmbzXxCJBrPaxOKRPj9iQi0iAbfNZsPjjz+O0tLSc+5bUlKChx9+2GeUqLCwEM888wwWLVqE9evXw2QyYeXKlSHqcfQZlyzE2klKVpvezuDqHc1oMPtO3CNCw2D4GZ6re3E4+eDzEyPXoRghEKRBoZjHatNo1kaoN12zu84Ki0dVoAwpF0MT2Fl5cj4HF6eTaiUEQfSMXr8LJSXz4HLpWO0JCdcgN/dDcDjiju/YR0gkw0BRAphMe9vbTKY9kEhGgqLYn8t8fgosluOsNputCAJBdji62i7sAXdpaSkWLVqE6uqOFwLxtGnTJixevBhKpdLntk8++QRTp07F7NmzkZ+fj5UrV2LPnj2oqqoKRbej0vwcMZ4+n/0Lt8rownU/NsPkiP7L872B96gslzsuIv2IRUlJviUCrdbTfvaOvO8q2ekkM/qJOqyf7p1WsoWklRAEEQCdbitKS68BTZtY7Wr1bcjKWgOK4keoZ9GDw5FAqbwe1dXLYTIdRGvrN2hoeKO99KzD0QCabhvsUKlugdH4GxoaXoXNVo7m5o1obv4ISUm+xQ5C2uewPhra0kPGjRuH9evXn3Pfffv24amnnsINN9zgc9uxY8cwatSo9u3k5GSkpqbi6NGjQe1vtLt3qAwLB7Lzlf5qcuC2n1vgosmXfKh5529zuWMj1JPYI5GMgUQyitXW1BSdJQIZhsH31b4Bd0dm9BNB4PHJWmpw4VgLWRmWIIhza27+P5SV3QKGsbPaU1L+gYyMF0FRZOrdWRkZz0EiGYWSkrmorHwAKSkrkJBwBQDg2LGBaGnZBACQSkcjN/djtLRswsmTF6CxcQ2ys9dBLp8S1v6GvUrJFVdc0eV9X3jhBQDAtm3bfG5rbm6GWs2eLKBUKtHY2NizDsYYiqLw7/EKVBld+KHGnV/6TaUVj+1vxQvjFJHrXC9ns5XBbq9o36YoAbjcUZ3cg/BEURQSE5eiouL29rbm5o+QmvoYuFx5J/cMv8PNDtSZ3VeNpDwKF6YIO9w3XsDB1HQRa/n3LWUWDFOSUSmCIPxrbHwTNTWP+bSnp/8z7KOxsYDDkSAraw2ysnxXLB41Ssfajo+/NOIrcMZsWUCr1QqBgF0Fgs/nw263+7lHeOtwh7vm9+P9gAqdCMUm96/fNYUmSK0tuC4t/KNrfaHmucPBXkKWwxkOihL1iXP3J9BzZ5hhoCglGKZtwjNNG3Dy5GsQCK4JRfe67aMKPgB3wDwm3oGqshLWPp7nPkHExfdwB+SfFrfiGnkDOshA6TXI675vIufecwzDwG5fA4fD+8o/B0Lh42htnY7W1uj7O4frue8tpSdjNuAWCAQ+wbXD4YBI1PFlXqB31OHuzOZMFy7Z1sgaiftPqQCjc1IwMzN8EywiXZ8zXMrKCmHzKFqRlDQTBkPv+XAIVHef97q6xaivf7F9m6K+RF7eI1F16XRvYSMAd7WRqwarke9R99773G/JpPHc6TqcnUpRaeHAmZiNgoTeOcrdV97zHSHnTs69JxiGRnX1QzCZ2ME2RQmQnb0eCsXsHj9GKPTl5767oucbLUCJiYlobm5mtXWUZtKXpEu5+OQSFWQ89zAaA2Dx7hb81eR/5J8IHMO4zlQocYuLmxqh3sQ23xKBJTAYfopch7zUmFw4onUH2xSAyzL8/7AHAIWQg4tS2Sknm0m1EoIgPDCMAxUVS33mrnA4UvTv/1nUBttE98RswD106FAcPny4fbuhoQH19fUYOnRoBHsVecNVArw/VQmux6Vrs5PBtT80o9JIJm4Fi9l8iFWuictNgFg8PHIdimF8fgoSEv7GaoumEoHfey12c34iH4lirp+93eblsK8qbSUBN0EQZ9C0BaWlf0dLy2esdi43AXl5W8M+oY8IvagKuJuammC1dm21xCuvvBLff/89Nm/ejJKSEqxcuRITJ05EZmZmiHsZ/aZniPDSeAWrrdFC49odzdDZSLnAYPCuTiKXTwFFnTsIIzp2tpTTWXr9DlitJX72Dq/vqtiB8ox+XUvPmpUphsfFJpzUOcnCVARBwOVqxenTV0Kv/57VzuOlID//G0iloyPUMyKUoirgnjlzJn744Ycu7Tt8+HA8+uijWL9+PW699VbIZDI89dRTIe5h7Fg4SIp7h8pYbSd0Tty8Uwu7i5QL7Cnv+ttkdcmekUrPh0TC/pJpaloXod64mRw0dtd5rS7ppxygtwQhB5O90krIIjgE0bc5HE0oLp4Lo/F3VrtAkI0BA76DWDzYzz2JWBfRSZPey7r7W+Z99uzZmD3bN5fJXzvRZuX5cagwOrGl3H3VYHedDcv+0OGNCxQdLtpBnJvLZWKtbgWQgDsY2koELmnfbm7+L1JTH4/o8sW7am2weSzc2k/GRUFC1z825+eI8ZPHcvBbyi14aGTfXY6ZIPoyu70KJSVXwGZjV/cQiQqQl7cJfH5KhHpGhENUjXATwcWhKKyZpMTYRHb5xI+KzXjpsCFCvYp9RuPvYBh3aoBAkAOhMDtyHeolFIr54PGS27dp2ojm5v9GsEfAd1VdW13Sn1mZItZ8isIWJ4pbSVoJQfQ1Vmsxioou9wm2JZIxyM//mgTbfQAJuHs5MY/Cfy9RIlvOzi9+7i8DPj1tjlCvYpt3/japThIcHI4AavVCVltT0zowTGTmHdAdrC55eRfTSc5SibiY5JNW0rV5KgRB9A5m8yEUF18Oh6Oa1S6XT0Ve3mbweAkR6hkRTiTg7gPUIi4+m66CQsAembv71xb8Vm/zcy/CH9/8bTKbPFjU6oWgKHetaputFHp91+Z1BNtfTQ40WtzBvoxH4QI/q0t2Zl4We5IlyeMmiL7DaPwNxcVz4XQ2sdoVinnIzf0fuFypn3sSvQ0JuPuI/Hg+PrpYBYHHM26ngRt/bCaXuAPgcDTAai30aOFAJiMBd7Dw+clQKKKjROC3Xukk09KFEHIDn/cwO0sEjsfdjmodKNWTEp0E0du1tn6PkpIrQdN6VrtKdROys9eDwwn8BzwRu0jA3YdckCLEmxeyL13p7Ayu3tGMJqvLz70IT96j2xLJKPB4ikh0pddKTLydtW0w/AirtSjs/egof7s7EsVcXJDMnkdBRrkJonfTaj9HaemNYBj250hS0j3o1+81Uka2DyIBdx9zdX8JHj+PXSWh3ODC9T80w+Ik5QLPxbf+NsnfDjap9DxIJGNYbRrNO372Do0qoxPHvFaXvLSbATcAzMtmp5WQVScJovfSaN5DRcVtANhXslJTn0Ra2jOkQlgfRQLuPujB4TL8PV/CatuvcWDpz1rQDAm6/WEYBgbDblYbyd8ODe+FcLTa/8Llag3b43uvLjk2SQC1qPsjUnOyxPD8ij3c7EC5gaSVEERvwjAM6utfQnX1gwA8v0sp9Ov3H6SkPECC7T6MBNx9EEVRWD1RgYvS2PljWyusWHlA7+dehNV6Cg5HXfs2hyOBVDo2gj3qvRSKueDx3GWyaNqE5uaPwvb4wUonOStZwsUEr7QSstQ7QfQeDMOgtvYJ1NU963ULD9nZ70KtXhSRfhHRgwTcfRSfQ2HDVCUGK9iLeLx2zIj1J00R6lV0804nkckuIJNeQoTDESAxkf0FpdGsA8OEfq6B0UHj526uLtkZklZCEL0TwzhRWXkPGhvfYLVTlAi5uf9FQsKVEeoZEU1IwN2HxQs4+GS6Csli9stg+R4dtleRWsHeyHLu4aVS3QKKco8K2+3l0Ot3hPxxd9baYPco/Z0l42KQoueL8s71Crj/bHKg0kjSSggiltG0DWVlC6HV/h+rncOJQ17eJsTHXxqhnhHRhgTcfVymjIdPLlFBwnPnldEMsGiXFkea7RHsWXRhGAeMxl9ZbSTgDi0+PwkJCVew2sJRItA7neTyzMBWl/QnVcLF+CRSrYQgeguXy4jS0mvR2voVq53HUyM//yvIZBMj1DMiGpGAm8BItQDvTUlg1Qo2Ohlc+0MzakykXCAAmEz7QdPuVBseLxkiUUEEe9Q3+JYI3AmL5WTIHo9mGJ+rO4GuLtkZ71FuksdNELGJYVpRUjLf58onn5+B/PzvIJGMiEi/iOhFAm4CAHB5phjPj41ntdWZaVyzowl6e2SW1o4mvuUAp5DZ5mEgkYyEVDqO1dbUFLoSgQc1Dmis7td7HJ/ChOTg5enPzWIH7/s1DlSTtBKCiCkORz0slqUwmw+w2oXCARgw4DuIRHkR6hkRzUjATbRbWiDDHQXsZWaPtzixcJcWDrpvlwv0LQd4UWQ60gf5lgj8GE6nLiSP9V0Ve8T54nQRBN1YXdKfDBkPYxL5rLatFWS+BEHECqezGUVFM0DTp1ntYvFI5Od/A4EgI0I9I6IdCbgJlmfHxGNmJnsU7scaG1b8oQPTR2t0u1ytMJkOstpIwB0+CsUc8Pmp7ds0bfaZoBQs3su5z8gMXjrJWd7VSkhaCUHEjtraVbDby1ltMtkFyM/fCj5fHZlOETGBBNwEC5dD4Z3JCThPzR6F+6DIjNeOGSPUq8gyGH4B4M5lF4kGQSBIi1yH+hiK4kOtvpXVptG8E/QSgZVGJwpb3OkdHAqYnh78so/eedx7Gu2oJXMlCCLqWa3FaG7+kNUWFzcD/ft/Di43zs+9CKINCbgJH1I+B/+7RIV+MvbKek8d0OPLMnOEehU5pBxg5LWVCHQHv3Z7BfT674P6GN9Vske3xyUJoOzB6pL+ZMp4Pj9ov6ogo9wEEe3q6lbBc/BFKMxFTs5GcDhi/3ciiDNIwE10KEnMxWfTVYgTsPNXb/+lBXsbbH7u1TuRgDvy+Hy1z+IRjY3BLRHoUw4wiNVJvM33GuUm5QEJIrqZTAeg021ltaWmPgkOR+DnHgTBRgJuwq9BCj4+nKqCR4lu2FzA9T9qUarvG5UV7PYq2GwlHi08yGQXRKw/fVli4hLWttG4GxbLiaAcW2+n8Ut98FeX9Mc7reSPBjvqzSSthCCiUduy7StZbRzOYCgU8yLTISIsGhvX+L3N6WxGaenfAzoeCbiJTk1JE+K1CxSsNq2NxtU7mqC19v4AwbscoFQ6BlyuPEK96dvaSgROYLVpNOuCcuydtTY4PKpf5sq5yI/v+eqS/mTLeRihcqeVMAC2kbQSgohKBsOPPgufCQR3k9KwvVxNzSM4ffpqOBxNrHad7iucODHOJz44FxJwE+d0Q74U/xjJDjJP61248SctrM7eXblEr9/F2o6LmxqZjhAAOioR+L+glAj8tpId7M4I0uqSnSFpJQQR/RiG9hndlsungccbG5kOEWGTk/MhzOZDOHlyAlpbv4fLpUd5+RKUlS2ASFSAQYN+C+h4JOAmuuSRkXJc29/3Mvhdv7aA7qXlAhmGhtFI6m9HE4ViFvj89PZthrH4VA0IlItmsKPaO50k9JOgvMsD/tZgh8bS+68aEUQsaWn5HBbLMVZbWtpTEeoNEU4KxWwMGvQ7pNJxKC29HsePj4Re/wMyM19Dfv5WCIXZAR2PBNxEl1AUhdcuSMAFKewJIl+UWfDcn/oI9Sq0LJajcDqb27e53DhIJOdFsEdERyUCm5rW9ahE4H6NHc02j9UlBRQmJId+IlRuHA/DlO60EpoBtpFFcAgiatC0DXV1z7LaEhKuIsu29yFcrhwi0QAAFFwuHbhcGQSCzG4diwTcRJcJuRQ+mqbCAK/c1pePGLGxyBShXoWOd3USmWwSKCp0eb1E16jVN3uVCKxCa+u33T6ed3WS6eki8Dnhyc30HuXeQvK4CSJqNDW9D7u90qOFh9TUxyLWHyK8DIbdOHFiAhob30BKygoUFPwJoTAXJSV/Q0XF3QGnM5KAmwiIQsjBp9NVUIvYL51lv+uws6Z3jc55T4iQy0n+djTg8VRISLia1abRdL9EoHfAHcrqJN7mZbMf65c6G5r7wGRkgoh2LpceDQ3/ZrWp1QshFOZEqEdEuJWUzAeHI8SAAduRmvowhMJs5OVtRkbGC9DpvsTJkxPOfRAPJOAmApYt5+F/l6jguSaIiwFu3qnFca0jch0LIpq2wGj8g9VG8rejh2+JwF9gsRwP+DjlBidO6twlLrkUMD0jfAF3fjwfBQnuqyYuBvi6snf9cCWIWNTY+AYrpZDDkSIlZUUEe0SEW1LSXRg4cDckkpGs9sTEJRg06BcIBFkBHY8E3ES3nJ8owLrJSnheeNc7GFz7QzM0ttgvlWQ07gXDuCfS8fkZEAr7R7BHhCeJZDhksomstu6UCPzWK7gdnyyAQhjej0XvtJLNZSSthCAiyeFoRGPjm6y2pKS7wecnRahHRCSkpz8LDkfY4W1CYS7y8wNLZSQBN9Ftc7PFWDUmjtVWbXLhgUIhzE7az71ig3c6SVzcVFJzNcr4lgj8FE6nNqBjRDKd5CzvgHt3na1P1LgniGhVX/9v0LR7XhKPp0ZS0t0R7BERKXZ7LaqqHsDx4yNx6FAKzOZDqKl5HFrt5wHHBCTgJnrkriEyLB4kZbWdNHHw7onYnkRJ8rejX3z8LPD5Ge3bgZYIbLXT+M1rdclQLufuzyAFH4MU7LSSb6pIWglBRILNVoqmpvdZbSkpK8iCZ32Q1VqCU6cmQafbCqn0fDCMHQDgcGhQUbEEOt3WgI5HAm6iRyiKwgvj4nFZBvuyy6elsXtZ3OlshsVyhNUmk02OUG8IfyiKh8TExaw2jeYdMIzTzz3YfqqxwnPdprw4HvLi+f7vEELeS71vIWklBBERtbXPAXB/hggEWVCpFkauQ0TE1NQ8Bj4/HQUFfyEraw3a1gQGsrPXQqGYg4aG1wI6Hgm4iR7jcSi8cWECPCupHdM6cLq1a4FPtDEY2IvdiMXDweerI9QbojMq1QJQlHtU2uGoRmvrN12677dRkE5ylveqk7vqbNDZYjstiyBijdl8CDrdF6y21NTHweGEvi4/EX2Mxt+QnLzszNUNdvqISnUTrNZTAR2PBNxEUCSKubjAa7GQrTFaU5ikk8QOHk8JpfIaVltXSgQ6aQY7qr0C7szIBdyDFTzke9S3d9C+PwgIggit2tqnWdti8TAkJFwZod4QkceBd6B9Fk2bSA43ETnzc7yqLZTHXsDNMAz0eu+A+6LIdIboEt8Sgb/BbD7a6X32NdrRYnPnkygEFMYnRW4Ui6IozMuK/fcPQcQqvX6Xz2BLWtpKUBQJk/oqmWwCGhpehsvV6tFKgWFc0GjehVQ60e99O0JeSUTQzM4Us34LHm52oNwQW2klNlspHI7q9m2KEkImGx/BHhHnIhYPhUx2IautqanzEoHe1UkuzRCBF6bVJf2Z5/WDdWeNFa12klZCEKHGMDRqa1ey2mSySZDLp0WmQ0RUSE9/BnZ7JQoLR6O8/FYAFBoaXsXJk5NgNh9CWtrjAR0vYgG33W7Hddddh3379vndp6ioCIsWLcKkSZOwYMECFBYWtt9G0zQmTZqEsWPHsv4ZDIZwdJ/oQLKEiwleaSVbYmyUznuEQyabAA5H7GdvIlr4lgj8jLVohbdoKAfobWgCD7ly92pSdtq3nwRBBJ9OtxkWyyFWW1ra06QUbB8nEg3EwIG7IJdPg9G4BxTFhdH4M0SiARgwYDvE4qEBHS8iAbfNZsPjjz+O0tJSv/tYLBbcf//9GDp0KDZu3IiRI0di2bJlMJnays3V1NTAbrdjy5Yt+Oabb9r/yWSycJ0G0QHvyV+xHnCT/O3YEB9/OQSCfu3bDGNFU9PGDvct1TtR5DGhl0cBF4dxdUl/KIryqckda+8fgog1DONAXd2zrDaFYh6k0vMi1CMimgiFOcjOXodhw05i5EgNhg0rQU7OBxCLBwd8rLAH3KWlpVi0aBGqq6s73W/Hjh3g8Xi4//77kZOTg2XLlkEmk2HHjh0AgLKyMqSkpCA1NRVqtbr9H/lFGllzssWg4M6N/bPJgUpjbKSVMIwTBsMvrDa5fEqEekMEgqJ4UKtvY7U1Nb3bYYlA78mIE1OEiBdER3add8D9Y40VBgdJKyGIUGlq2gibzXPwj4vU1Cci1h8ismy28oD+BYJ37l2C69ChQxg3bhyWLFmCyZP91zY+duwYhg8fDg6n7YuQoigMHz4cR48exfz581FWVobMzMxwdZvoolQJFyPiaBzSuy+Nbym34J6h0b9ogNn8F2ha377N46kgFg+PYI+IQKhUN6Gu7nkwTNuosMNRA53uayQkzGPt910le9Q4GtJJzhqh4iNLxkWFsW2lSZsL+L7KiqtyJRHuGUH0Pi6XEfX1/2K1qVQLIBLlRahHRKQVFo6Cv8okHRk1quurG4c94L7iiiu6tF9TUxOysrJYbUqlEkVFRQDaRsrNZjOWLFmCqqoqDBw4EMuWLfO5j6fi4uLudzxA4XysaDNNxWMF3J+ebMEMYX0Ee9Q1dvvnXi3noaTkdMDH6cvPfaTPncudAafzy/btyspX0NRU0L5tcAK/N4jh+YE62FWP4mIGPRWsc58Sz8dGo3sBno+OaTDCZQ/KsUMp0s99JJFzj012+3twOhs9WkSwWK7p8jnF8rkHQ7jOPz8/PyyPAwCZmW+2/9/l0qO29inIZBOQkHAV+PxUOJ3NaG3dBr3+R6SnPx/QscMecHeV1WoFn89e9U0gEMDhcAAAysvLYbFYsGLFCkgkEmzYsAF33HEHPv30U7953OF60oqLi8P6Aok202wl+E+Ze/uogQtxag4yZFH7cgMAFBUdgd0jrklLmwOVKrDnsS8/99Fw7hbLCpw86Q64afovpKdbIJG0Xan4otQMF9PSfvvAeB6mDu/5aFYwz/0WhR0bazTt23/oeEjN7gcZPzrSXjoSDc99pJBzj81zdziaUFj4EastOfkupKVN6NL9Y/ncg6G3nr9KdUP7/8vKFkGhmI/sbPbaDkrlNaiqegA63Vao1Qu6fOyo/QQXCoXtwfVZdrsdIlHb5d9169Zhw4YNGDNmDIYMGYJVq1bB6XRi9+7dHR2OCKNkIYOxid6L4ER3tQWXywiTaT+rjdTfjj1icQFkMnaqmkbjLhEYjdVJvI1S89FP5r5CZHXBZ5EegiB6pqHhZdC0u6oZl5uA5OR7I9gjIlA0bUNl5X04ciQLR48OQEPDq373tVqLUFw8B4cOpaKwcDR0ui3nPL5e/z0SEq7q8La4uMthMv0eUH+jNuBOTExEczO7rFdzczNUKhWAtoBcLHZPMBIKhUhLS4NGowEReXOz2YHM1iivtmA0/gbAPcFOKOwPgYDMEYhF3gvhtLS0lQh00Ay2R9Hqkv50tAjOlnIScBNEsNhsFWhqeo/VlpLyILjc+Aj1iOiO2tonYDLtQ17eFvTrtxr19S+hpeULn/1cLiNKSuaDz0/DoEG/Qq2+DeXli2GxnOz0+FxuPKzWEx3eZjYfAI+nCqi/URtwDx06FEeOHAHDtOVWMgyDo0ePYtiwYXA6nZg1axa2b9/evr/ZbEZVVVWnOdxE+Mz1qrawp9GOWpMrQr05N1IOsPfwLRFoQ1PTBuxpsKPV7s7VVgo5PldiooV3tZLt1VaYnaRaCUEEQ13dP8Ew7vxBPj8DavXiCPaICJTLZUJT00akpz8PiWQkFIpZSE6+FxrNOz77arX/A0XxkJX1BkSi/khKuh1y+TSYzf7XgQGAhISrUV//Ahob18BurwJNW2CzlaO+/j9oaHgFKtUtAfU5qgLupqYmWK1tIznTpk2DxWLBSy+9hNLSUqxevRomkwnTp08Hj8fD+PHj8fbbb+PPP//E6dOn8eSTT0KtVmPSpEkRPgsCADJlPIxWs3Pwv6qI3lFug2EXa5ukk8QuiuJCrWaPcjc1vYfvq9iLYk3PEIIb4dUl/RmdyEe6xJ1WYnYy2FFti2CPCKJ3sFiOoaXlU1Zbauqj4HCi72oX4Z/FcgwMY2OtBC2VjofZ/KdPOVij8WfEx18OinLHJP37fwKVqvP867S0xxEXdzlqah7B8eMjcPhwOgoLz0Nd3bNQqRYgJeXBgPpM6XS6nk/P76axY8fijTfewNixY9u3n3zyScyePRsAUFhYiOeffx5lZWXIy8vDQw89hMGD24qNWywWvPHGG/jpp59gMpkwduxYLF++HCkpKX4fr6/PKCY6RtMamM0zPVo4kEp/AEVFfylDomMMo4fJNAuAOxVDJHoePN4lkesUQRARZ7HcD5frt/ZtDqc/xOKPQFHcTu5FRFJHkzN1ui2orFyG4cPdNdSt1lM4cWIchg49CT7fHQuePDkJCsU8OBx10Om2gc9PRmrqo4iPn9Glx7dai2A0/ganswU8nhpy+RQIhYFnU0Q04O6teuvs3a46e/7lBidGft7Q3k4BOHFtClIk0fXB1tz8MSor72jflkjGYODAHd06Vl9+7qPt3Csrl6G5+f327SPG83BfyYcAAD4HOH19KuKCtOBNKM59T4MNM75pat+W8iiUXJ8KMS/6RuWj7bkPJ3LusXPuBsOvKCmZzWrLzf1flwMvT7F27sEW6fPXav+H2tqnMXSoO8faZitHYeFIFBQcZgXEx4+PgsvVDLV6MRSKeTAYdqK2dhUGDvwREsnIsPU5uuu0ETEtW87DSBUfh5rbqs0wALZVWLB4cMdlGyPFO387Lu6iyHSECKrExCWsgHu47E/kiwtRbCnABSnCoAXboTI2SYBUCQd15rbcbZOTwY81Vsz2mlBJEMS5MQyD2tqVrDapdALi4i6LTIeIHqEoEWianWbHMG3bHI7Ea18eRKIhSEt7EgAgkYyA0fgHmpo+QGbmK34fg2EYaLUforX1W7hcZgDe82go5Odv7XKfo/sbh4h53pO/NkdZtRKGYWAwsEtJkgmTvYNYPBgy2RRW29/UbXV3o7EcoDcORWGOT7WS6Hr/EESsaG39CmbzAVZbevrToKjou2JEnBufnwqXSweadk9+dTgaQFFC8HgJXvumQCRij8YLhXmw26s7fYy6umdRWXkfzOajYBgrGMbp9c/R6f29kRFuIqTmZYvx9EH3cum/N9jRaHEhSRwdaSVW6wk4ne60Fw5HConk/Aj2iAimpKSlMBrdP6guTvga6+oewIx+yRHsVdfNyxZj3QlT+/Z3VVZYnQxEUZhWQhDRimGcqK1dxWqLj58JqXRshHpE9JREMgwUJYDJtBdyeVuxDJNpDySSkaAodmgrlY6FXv8Dq81qPQWhsPPSv83NH0GtXoR+/V4OSp/JCDcRUrlxPAxTumcG0wzwdRQtguOdTiKTXQgOJzpLxRGBi4u7DA7K/aEq4DiwMH0TsuWxMdYwPkmAZLH7Y9rgYLCzNnrePwQRC5qbP4LN5lk0gYPU1Ccj1h+i5zgcCZTK61FdvRwm00G0tn6DhoY3kJi4FEDbaDdNt10RVKtvgc12GjU1T8FmK0Nj41swGHZBpbq508dwuVqhUMwNXp+DdiSC8GN+FKeVkHKAvRtFcbHH/HdW23TFxwFfCowULsc3rSSa3j8EEe1o2oz6+hdYbUrlDRCLB0WoR0SwZGQ8B4lkFEpK5qKy8gGkpKxAQsIVAIBjxwaipWUTAEAg6Ie8vC9hNP6CEyfGo7l5A3JzN0IiGdHp8SWSkTCbDwetv7ExzEPEtHnZIqz6051W8mu9DU1WF9SiyKaV0LTtzAqTbiTg7l0cNIO3K+bi/PzVEHPbAlUx1QCd7qv2D+ZoNy9bjHdPutNKvq2ywuZiIOSStBKCOJfGxrVwOOratylKhNTUhyPYIyJYOBwJsrLWICtrjc9to0bpWNtS6RgMHPhTQMfPyHgepaV/B5crh1Q6zmcyJgAIhdld729Aj+5HUVFRMA5D9FJ58XwUJLh/27kY4JvKyF8WN5n2g6bN7dt8fipEIjLq0Zv8Xm9HnVWO7S3sy4IazdoI9ShwE5MFUIvcH9V6O4PdtWQRHII4F6ezBY2Nq1ltiYlLIBBkRKhHRCw5deoSOBy1qKp6ACdPXojCwvN8/gWi0xHulpYW/PRT2y+CKVOmQK1Ws27X6/V46623sGXLFvzxxx8BngrRl8zPFqOwxb3S3+YyCxYMkEawRx2lk0whM9Z7me+q2ka1v9TcgHnqT9rbTaa9MJv/gkQyKlJd67K2tBIR3j/l/nG4udyCS2Og0gpBRFJDw3/gcrmvrnK58UhOXhbBHhGxJDPzVbStIBIcfgPuoqIi3HnnnTAY2oKkt99+G2vWrEFeXh4AYPPmzXjrrbfQ2tqKgoKCoHWI6J3mZYvxz7/cAffuOhu0VheUEUwr8Z4wScoB9i4Mw+C7qrYrKRW2POzXT8SYuN/bb9do1nZ4KTIazc8WswLurystsLsUEJC0EiICbC4G31RacKSGh7kJdoxQ8cGJssEKu70aGs06Vlty8jKfknEE4Y9KdWNQj+c3pWTNmjUQCoV45ZVX8O677yItLQ1vvPEGrFYrli9fjhdeaJuE8Mgjj2D9+vVB7RTR+wxU8DFIwU4r+TqCaSVOpw5m81+sNrl8ip+9iVhU1OpEmcHVvv1VM/vDs6VlExyOxnB3q1suSBFCKXR/XLfaGfxcR9JKiPBqMLvwz7/0GPppPRbuasHqMgGmfqXBwP/V445fWvBlmRk6m/fiIJFRV/d8+0IoAMDnp7VXsCAIfxiGDuhfIPyOcBcWFuLWW2/FhAkTAAAPPPAA7rnnHqxcuRK//PIL5s6di3vuuQdxcXE9Ozuiz5iXLcbJQ+5R7q3lFtwUobQSo/FneK4aJRIVgM9PiUhfiNA4O7p9Fl86HQJBDuz2MgAAw9jR3PwBUlL+EYnuBYTHoTA7S4SNRe5R7i3lFlySQdJKiND7q8mOtwuN+LLMAkcHMYbGSuPjEjM+LjGDS7WtknpphgjTM0QYksALe6qexXICWu3HrLaUlIfB4ZBVWonOHTqkQtfTSCiMGtXc5WP7Dbj1ej1ycnLatwcMGAC73Y69e/di9erVmDhxYpcfhCCAtoD7Xx4B9646G3Q2Ggph+KtTknKAvZ93wH15pgSJqttQU/Noe5tGsx5JSffHRO31+dliVsC9rdKC/9AK8DnRdSmf6B0cNINtFRa8fdyEfRr7ue9whosB/miw448GO54+qEeahIPpZ4LvKWlCyPmh/7yvq3sGngMqQuEAqFQ3hPxxidjXNgATms9UvwG3y+WCQOD+EhIKhQCAu+66iwTbRLcMVvAwIJ6HolYnAMBBA99UWnBDfvhHufV6kr/dm2mtLuxtZAcJl/UTQSW+EXV1z4Gm28rsOZ310Om2Qqm8KhLdDMikVCEShBRabAwAoMXG4Nc6G6amk1FuIni0Vhc2FJnx7gkTaswuv/vJ+RSGSJ04buLB4GD87ldrprGhyIwNRWbwOcDEZCGmZwhxaYYI+fHBH/02GvegtfVbVlta2hM+qw8SREdSUx8J2bED/qk5ZMiQUPSD6AMoisJcr0VwtkRg1Umbrbw9rQAAKIoPmYz8iOxNtlfbQHvEAEMSeMiU8cDlxkOpZI90xUqJQD6HwqxMr/cPWQSHCJLCFgfu/a0FBZ/W4+mDer/Bdq6ci3+Ni0fhtSl4fagNp69PxVcz1Lh3qAyDFZ0HtQ66bcL84/v1GPtlI0Z+3oAVf+iwvcoKs7Pnud8Mw6C2diWrTSIZg/j42T0+NkH0VMA/+UjZNKIn5mWL8dJhd1rJzhorWu004gXhSysxGHaztqXSseByI1uikAgun3SSfu5ANTHxNjQ1vdO+bTbvh8l0EFLp6LD1r7vmZYvxf8WeaSVWvDSBAY+klRDd4KIZfF9txZpC0zkn4U5NE+L2AhmmZwjbK5LUAxBwKUxKFWJSqhDPjIlHpdGJH6pt2F5txc91Npid/ke/K4wuvHPShHdOmiDiAhemCDE9Q4RLM0TIiQt8RFqv/w4m0x5WW3r6ShK3EFGh01f0r7/+ivLycgAATdOgKAo///xzhwvdzJ0bvPXmid5raAIP/eO4OK1vGz2x023B0bX9fVdwChVSDrB3s7sY/FjDDrhnZLrTLkSiAZDLL4bB8GN7m0azFlIpu4RYNJqSKkS8gEKrvS2IabLS+K3ejilpwgj3jIglejuN/ys2Y90JI8oN/tNGxFwK1+WJsbRAhkEKfpeOnSnjYdEgHhYNksLqZPB7Q1vwvaPa2v653xGrC/ihxoYfamx4aG8r8uJ47aknE1OE51xZlWFcqK19htUWF3cZZLILutRvggi1TgPuDRs2+LS99957Pm0URZGAm+gSiqIwL1uM/xwxtrdtKbeELeBmGJfPCDcJuHuX3xtsrJzSJDEH56nZwUJi4lJWwK3TfQmHYxX4/OSw9bM7BFwKMzPF+LjEPcq9tcJCAm6iS063OrH2hBH/LTbD2MnIc4aUi9sGS7FggBQJPZjULuJRmJYuwrR0EV4Y1/b4O2ragu9f622w+Y+/UaJ3oqTQibcLTZDyKExObQu+L8kQop/MN3TRav8Hq/WERwuFtLQnu913ggg2vwH35s2bw9gNoi/xDrh/rLFCb6cRF4a0EovlKFyulvZtLjceEsnIkD8uET7fetV3vzRD5LMoR1zcJRAKc2GzlQIAGMaBpqb3kZr6cNj62V3zskWsgPurCgteHBcPLkkrITrAMAx21dqwptCI7dU2+A+zgQnJAtxeIMOsTFFI0pT6x/PQP16G2wtkMDlo/FJvww/VNnxfbUWV0X/0bXIy+LbKim/PpIoVKHhtlU/6iTAuSQAubKire551H6XyWojFZM4ZET38Btypqanh7AfRhwxX8pEt57ZfyrS5gO3VVlyVG/pRbu/qJDLZZFBU5Fa7JILLc3XJs2Z0sAQ6RXGgVi9BTY07wG5qWo/k5AeivkTg1DQR4vgU9GdG8RstNP5otOPCFDLKTbiZnTQ+KbFg7QkjTuqcfvcTcIArcsS4vUCGkerwvfalfA5m9BNjRj8x/s0wKGp1nkk9seH3ehs6GYBHoc6JQp0Rrx4zIo5P4cHcDzFZXN1+O0UJkJr6qP8DEEQE+A24a2pqAjpQenp6jztD9A0URWFelhivHmOnlYQj4PbO346LI+kkvclJnRMVHiNlQm7bZK+OqFQ3oK7uWdB02+vQ6WyETrcZSuU1Yelrdwm5FGZkivDpaXeFki3lFhJwEwCAKqMT754wYUORCTq7/6g1WczBokFSLBwoRZI4soMOFEVhoIKPgQo+7hkqh95OY3edDTvO5H7Xmf1XMHHRrRjJf5PVdppeALsuGaPVDLnyQwSkqOjyLu9LURTy87/p8v5+A+4rrrgioJm9e/bsOfdOBHHG/Bx2wL2j2gqjg4YshIsi0LTZZwY7yd/uXb71Gt2enCKE1M9risuNg0p1AzQa92RJjWZt1AfcADAvS8wKuL8qt+Bf4+J9UmeIvoFhGOxptGNNoRFfVVhZJTG9jVLzcXuBDH/LFkNwjomIkRIn4GBOlhhzssRgGAbHWpztwffeRjvr/K5PWo84nr592+iSYVnhLdAfbkKCkMIl6W2L7lycLoRKRK5mEp2jKA7CvvDNE088wdqmaRrPPfccFi9eTNJNiB4bqeKjn4zbnrdndbUF3X/LCd0ot9G4BwzjXgxFIMiEQJAdsscjwu+7Sv/VSTqiVi9hBdxm80GYTAcglZ4fkv4Fy8XpIsh4VPvEt3oLjb2NdkxIJqPcfYnNxeCLUjPWnjDhcLPD735cCpibJcbtBVKMTRLEVJk8iqIwTMnHMCUfDwyXo8VGY2eNFdurrTjYUIUrEz9k7f+/xkXQuxIAtC0O9VmpBZ+VWkABOD+R3152cLiKT36gEj7y878O2bH9BtyzZ7MLxbtcLjz33HOYNGkSBg0aFLIOEX3D2bSSN467R7k3l1tCGnB3VA4wlr54iM5pLC7s91qC+rKMzgNukSgPcXHTodfvcB9HszbqA24Rry2t5PNS9yj35jILCbj7iAazC++dMuH9kyZorP7TLRKEFG4ZIMWtg6TI6KCyRyxKEHJwRa4EV+RKUFH5NLTN7h/ZzQ41vtDc1OH9GAD7NQ7s1zjwz78MSBJzcEl6W/B9UZoQih5UYyF6D4PhV8jlF4bk2OQVRkTM/Bz2qnk7qm0wOXq+2pg/pP5277a92sqqwDBMye9SkJGYuJS13dLyJRyOuiD3LvjmZrHfP19VWEAzndWgIGLdX012LPlZi6Gf1ePFQwa/wfZgBQ+vTlTg+DUpeOr8+F4TbHuyWouhbf4/Vlv/jIfxygXpuDJHDIWg88GURguN/5aYccsuLfp/XIfLv9Fg9REDjmkdYMj7qM8qKZmDwsLz0dDwOhwOTVCP3fvehUTMGK3mI0PKRbWpLa3E7GTwQ40N87yWfw8Gh6MRFssxjxYKcvnkoD8OETldqU7SEbl8GoTCPNhsJWdanGdKBEZ3lYPpGSJIeRRMZ9JKas00DmjsGJtERrl7EyfN4KsKC9YUmrC30e53PwrAZf1EuKNAismpwl5/9a6ubhUAjwnSwv7ITr0ZORQf1+VJ4KQZHNDYsaPaiu3VNhzV+k+5cTHAHw12/NFgx9MH9UiTcNrKDmaIMCVNCHkI5xYR0SUraw202o9RW7sSdXWrEB9/OVSqmxEXN63HxyYBNxExFEVhbrYIbx03tbdtKbeEJOA2GH5mbYvFI8DjKYP+OERk2FwMdtawl6a+vIsBN0VxkJi4BNXV/2hva2p6H8nJD4LDid7gVcyjcGmGCF+We6SVlFvCGnAzjBNW60m4XCdhNGrD9rjRhKYdAPKDflyt1YUNRWa8e8KEGrP/GtVyPoUb8yVYMliG3G4shx6LTKYD0Om2stpSU58ARbkXuOJxKIxPFmJ8shBPjAZqTS78cGbRnV217MWxvNWaaWwoMmNDkRl8DjAxWdi+6mV+PK/X/5jpy5TKa6FUXgu7vQZa7f+g1f4Pp09fCYEgAyrVTVAqb4RA0L2qfH3j3UlErXlZYlbA/X2VFRYnAzEvuB9opBxg7/ZrvY21cl6ymIOR6q4tRQ0ASuX1qK1dBZo2AACcTg10ui+hVF4X9L4G07xsMSvg3lpuxXNjmJAHBC6XCc3NH6Kx8Q04HG31j4uLQ/qQUYxCXd3DSEn5R1D+7oUtDqwtNOLT0xZYXP6Dwlw5F0sKZLghTxKWRcOiBcMwqK1dyWqTSEZBoZjX6f3SpFwsGNC2eqbd1VbV5YczlU9OdFKn3EEDu+ts2F1nw+P79ciScXFphghDOBxk0wz4pOxgryQQpCMl5UGkpDwIk2kfmps/RmPjW6irexFxcdOgUt2M+PgZAa3j4Tfg3r9/P2ubYdo+xAsLC2EwGHz2HzNmTACnQhBtxiQJkCbhoPZMnVWTk8EPNVbMyQreKDfDMDAYdrHa5PKLgnZ8IvK8q5Nc1s93dcnOcLlyqFQ3QqNZ097W2LgGCQnXRvVo1vQMIcRcqj0wqza58GeTA6MTQ7OAidPZDI1mHTSad+By9c0RbV8M6uufh8vVjPT0F86UFQsMzTD4vsqKNYUm7K6zdbrv1DQhbi+QYXqGsE9W2TAYfoTR+CurLS1tZUDvUwG3ban4yalCPDMmHpVGJ36otmF7tRU/19lg7mTVnQqjC++cNAEQ4f0GDf53iQqpElJusDeTSsdCKh2LjIwX0Nr6NVpaNqGi4jZwOHEYNuxkl4/jN+C+++67QVGUz+SBf/3rX+3/P3s7RVGkDjfRLRyKwpwsMdaecI9yby23BDXgttmK4XC4F3KiKBGk0nFBOz4RWQzD+NTf7mr+tqfExCXQaNYCZ6ZeWiyHYDbvh1Q6NhjdDAkpn4PpGUJsrXCf/+ZyS9ADbru9Eo2Nb6C5+f9A0+Zz36EP0mjWwenUISvrTVZqQ2f0dhofFZux7oQRZQb/aSNiLoXr8sRYWiDDIEXXr9z0NgxD+4xuy+XTIJdP6dFxM2U8LBrEw6JBUlidDH5vsJ1Z9dKK03r/z8vhZgcW7tTiq8vVZKS7D+BwhBAIsiEU5sJiOQy7PbDJ9X4D7rfffrvHnSOIrpiXzQ64v6uywupkIApSWon36LZMNhEcTuABGRGdjrc42yfeAoCIC1zkZ3XJzgiFuYiLuxR6/fftbY2Na5GTE70BNwDMzxazAu4t5RY8c35cUEbmLZbjaGh4FS0tX8BzgponihKCogZALA7+3ItoZ7GcBE27F11pafkULpceOTnvg8Px//co1TuxttCIj4rNrFQobxlSLm4b3JYGkUDK1qGl5XOvye9AWtpTQX0MEY/CtHQRpqWL8MI44HSrEzvO5H7/Wm+DzettsKfRjpUH9HhubHxQ+0FED5utHFrtJ2hp+Qw2WymEwhyoVIugUt0Q0HH8BtznnXdejztJEF0xLkmAZDEHDZa2tBKDg8FPtVbMzAzOFzgpB9i7eVcnmZIqhITXveAkMXEpK+DW6bbAbl8FgSCtR30Mpen9RBBx2xaPAoBKowuHmh0Ype7eKDfDMDCZfkdDw6vQ67f73Y/LjYdavRiJiUtRXt6K/PzgTxyMdhbLcZw6NRcM09zeptd/h9Onr0Ju7sfgcuPa2xmGwa5aG9acMGF7FbuEpbcJyQLcXiDDrEwReGTkFABA0zbU1T3LaktIuAoSyYiQPm7/eB76x8twe4EMJgeNX+pteOWIEXs8Ksa8edyIsUmCkEz4JyLD6dSipeULtLR8BpPpADgcEeLj56Bfv1e6XaebTJokIo7LoTA3S3wmL67NlnJLUAJuhnHAYGDn+5H87d7luyoLa3tGv+6/buTyqRAKB8BmKzrT4kRT03qkpT3egx6GlpzPwcXpInxdyR7lDjTgZhgara3foKHhVZjN+/3ux+enIjHxTqjVt4DLlZ9pbe1O12OeWDwEYvG7cDrvh91e0d5uNP6GkpJ56N//c9iRgE9PW7Cm0IiTnUzOE3CAK3LEuL1AhpHd/LHUmzU1vQ+7vdKjhYfU1MfC2gcpn4MZ/cQYkyjAhC9q0Wh3/7C/+9cWDEngIS++76b89AYtLZug1X4Cg2EnGMYBsXgEMjL+DaXyKnC5PbuK0elKk129JElRFLZu3XruHQnCj7nZ7ID72yorbC4GQm7PRndMpoPtlScAgMdTQywe0qNjEtGj0eLCQQ27vu5l3cjfPouiqDMlApe3tzU3f4CUlOVRnYY0P1vsE3A/NbpraSU0bUdLy6doaHjN44eGL6EwH8nJ9yIh4ZqoLpcYbhxOBgYM+A4lJVfCai1sbzeb/8LvRy7FsuJ3cNqc7Pf+SWIOFg2UYtEgKZLEZPJdR1wuPRoa/s1qU6sXQijMiUh/VCIuXhhkx9JjIpxdq83gYLBgpxY/zE7s9hU2IvLKy28Fl6uASnUzVKoFkEiGBe3YfgPuMWPGhHR2vt1ux4IFC/DAAw9g7NiOcySLiorwwgsvoLi4GDk5OXj44YdRUFDQfvuOHTvw9ttvQ6PRYNy4cXj00UehVJLayrFoYrIAiSJO+8ppenvb5deeBE+Ab/62XH5Rt6oIENHpe69L8yNUfKRJexa0KJXXobb2mfbcXKezCS0tmwLO1wuny/qJIOAA9jNf/mUGF45oHRih8j9S6nIZ0NT0ATSat+Fw1PrdTyIZg+Tk+xAfP5O8d/zg81ORn/81Tp++GmbzgfZ2OXUaz2bfiOUl76HGnsW6z0gVH7cXyPC3HHGPBxZ6u8bGN+B0utN2OBwpUlJWRLBHwLA4Gs+OicdDe91XdwpbnHjwj1a8daEiqqsbEf5lZa2DQjE3JIMKfgPup54K7kQETzabDU888QRKS0v97mOxWHD//ffjkksuwRNPPIEvv/wSy5Ytw6ZNmyCVSlFYWIhnnnkGDz30EAYOHIj//Oc/WLlyJV577bWQ9ZsIHS6nrVrJ+lPstJJQBNxE7+Gdv93VxW46w+XKoFL9HRrNW+1tGs0aKJXXR+2XaJyAg2npItbfY2u5pcOA2+FohEazFk1N78Ll8p8KEhd3KZKT74NUOjFqzzta2FwMNpULsb7oHVwTfyfOl//RfluKoA6v5d+Ef5SuRbl1MOZmiXF7gRRjkwTk79oFDkcjGhvfZLUlJd0NPj8pQj1yWzJYin2NdnxR5k5r+7jEjPFJAtw8UBrBnhHdpVReDaBtoiRNmyEWF7Bur619GkrlDRCJAp+zEvbhitLSUixatAjV1dWd7rdjxw7weDzcf//9yMnJwbJlyyCTybBjxw4AwCeffIKpU6di9uzZyM/Px8qVK7Fnzx5UVVWF4zSIEJiXzQ6Wvq60wN7Jwg/n4nLpYTKxc1FJwN17WJ0MdtayaxZ3pxxgRxITb0PbYtltLJYjMJn2BuXYoTLfa8LW5nILq6yrzVaOqqoHcfz4cDQ0vOwn2OYiIeEaDBr0K/r3/xQy2QUkKOxEg9mFdRV8DPusHnf80oL9TQI8WvoWftZdwtpPyW/G2wMW4cCsMrw/VYlxyb1/6fVgqa//N2jaPRDD46mRlHR3BHvkRlEUXr1AgQHx7LHLf+zV4VCT3c+9iGjX2LgGJ06MQXPzB6x2m60CDQ2v4sSJCWhq2hDwccMecB86dAjjxo3D+vXrO93v2LFjGD58ODicti5SFIXhw4fj6NGj7bePGjWqff/k5GSkpqa2307EngtShFB5lL5qtTP4+RyLQHSmbXEEdw0noTAfAkFGT7pIRJFf6tkLVKRJOBihCs6EJaEwB3Fxl7Ha2mp0R68Z/UTge3yin9a7cLzFCbP5MMrKFqGw8Dw0Nb0HhrH63JeixEhMXIKCgj+Rnb0OYvHQMPY8Nm0sMmHYZ/V4p4qPxjMVlgDAwQjwdPnL+Lb5b6z9+ZQerTVXo7V1R7i7GrNstlI0Nb3PaktJWeExWTfyZHwONk5TQupRxtbmAhbs1EJnozu5JxGNDIbdqKl5BPHxs5GYeCfrNqEwC0OGHEJ8/OWoqloGozGwQZiwB9xXXHEF7r33XohEnY9ENTU1ITExkdWmVCrR2NgIAGhuboZarfZ7OxF7eBwKs7PYr4st5RY/e58bSSfp3bzTSS7rJwrqqGFi4u2sbZ1uK+z2Gj97R55CyMG09vrjDM6T7UFt+RU4dWoKdLpNAHy//LncBKSkPIShQ48hI+NFCIVZPvsQvn6qseK+33TtOfOeKACX9pPhgsFvITHxLtZtDGNBaen1aGnZFJ6Oxrja2ucAuCu7CARZUKkWRq5DfgxS8PHqBQpWW6XRhaW/tIBmun+Vlgi/hobXERc3HTk570MozPa5XSDIRG7uh5BKx6Kh4T8BHTtqywJarVbw+ezRKoFAAIfD0X67QMDOT+Tz+bDb/V/GKS4uDn5Ho+CxolF3z38Mn4MNcAfdW8tMuDOxCd2Z9G0ysWsIG40Dw/K89OXnPlznzjDAtjIRPMcMhnO1KC5uCuJjpIGicsAwZWdaXCgqeglC4Z0d7h8Nz/s4MWCJ/wXXJ7+HQZLjfvejqGTw+TeCz58Po1EMo1ELoGdLtUfD+YdDvY3Cwr9EYMD+cSflMpiT7MQ1qU70E5sBsxZm5mYIBDTsds+F5JwoL78VdXXF4POvCG/nQyBUz7vLdQIWyxesNopajNOnK/zcI/w8z30EgKtT+fiszh23fF9lxeM7y7Gwn/9ykLEsXO/5cNb4t1iOIiPjX+fcT62+BbW1zwR07KgNuIVCYXtwfZbdbm8fGRcIBD7BtcPh6HTkPFxPWnFxcZ9cBOKsnpx/Ns3giZI6tNjaRgVanRTqZf0wNT2w3Fy7vQbHj5d7tHAxYMA1rIUoQqEvP/fhPPcjzXY02DTt22IuhetG50IcpNVJz2pqugdVVQ+0b9P0FvTv/0+fVQQj/bzTtBVa7SeYbn8NU6Wn/e4nEhWcKe13ZZeXH++KSJ9/uNhdDO74VoNWp/u7iQMGT4+Jx80DpIgTdDQy8Dw0mlxUV3tW1WBgsz0PpVKAlJRlIe93qITyeS8p+QdrWywehoED74qaSjkdnfsbuQxKv9HgYJP79bGmUoAZg9MwObV3ldLsre95mjaCy1Wccz8+PxUuly6gYwf0yrXb7fjrr7+wfft26PV6NDQ0BPRggUhMTERzczOrrbm5GSqVqtPbvdNMiNjC51CY5bXgTXfSSrxXl5RKzw95sE2Ej3c6yUVpwqAH2wCQkHAt63XjcmnPLHMeHVyuVjQ0vILjx0egquo+OO0dB9tS6QTk5n6CQYN+g1J5XVCD7b7k8f2tOOBV931plgP3DJX7CbbbJCbehqysdQDYJSvr6p5GTc1TrMmtBKDX7/L5DE9LWxk1wbY/Qi6FD6YqkSB0fxbRDHDrLi1qTa5O7klEC4EgAzbbqXPuZ7UWgc9PCejYXX71fvHFF5g5cyZuv/12PPnkk6itrcVzzz2He++9F1ar7yScnho6dCiOHDnS/kHEMAyOHj2KYcOGtd9++PDh9v0bGhpQX1+PoUPJZJ9Y511t4asKK5x0YF9IBsNu1jbJ3+5dfMoBZoZmURouVwqVagGrTaNZG/EAyeGoR03NUzh2bBhqa1fC6ex48OO31ql4qe5jDBjwLeLjLyOVMXrgi1Iz1p0wsdouyxDiloyupQsoldcgN/cjUBT7tdrY+Cqqqu4Dw5CADGhb8bS2diWrTSabBLl8WmQ6FKB+Mh7emaxkJRxprDRu3a2FI8DvMSL84uIuh0bzDmja/0AfTZvR1PQuZLJJAR27SwH3119/jRdffBEXX3wxVq9e3f5lM2vWLBw+fBjvvPNOQA/qT1NTU3vwPm3aNFgsFrz00ksoLS3F6tWrYTKZMH36dADAlVdeie+//x6bN29GSUkJVq5ciYkTJyIzMzMofSEiZ3KqEPEC98dVs43Gb/VdL7HEMHQHEyanBql3RKTVm134s4k9ynhpRuhWgVSrF4NdIvAoTKY//N8hhKzWElRW3ovjx4ejsfHV9sV52Hj4Tjsft5zYgsfL3sDXDcNxSufoYD+iq07pHLj3Nx2rLVPGxZrJSnAC+A0THz8D/ft/Dg6HXWWjuXkjystvBU13vypTb6HTbYbFcojVlpb2dEz9WLwkQ4QVI9nP8R8Ndjx9oKP3KxFNkpLugMvVipKS+TCbD/ncbjb/hZKSK2C31yIp6S7fA3SiSwH3hx9+iCuvvBKPPPIIxo0b195+2WWXYfHixfjxxx8DelB/Zs6ciR9++AEAIJPJsHr1ahw5cgQLFizAkSNHsHr1akilbcXkhw8fjkcffRTr16/HrbfeCplMFtLFeojwEXApzOxBWonFchxOpzu/l8ORQyodHbT+EZG1vZo9un2emo8USeiWxBYKsxEffzmrLdwlAk2mP1FWtuBMbdiNYBjfH6AcjhSJiXdhyJDD2Od8CRW2vPbbtvag2k9fZ3TQWPCTFiaPEpQCDrBhqhIJwsBTHOTyC5Gf/xV4PBWrXafbjNLS6+Fymfzcs/djGAdqa1ex2hSKeZBKz4tQj7rvoRFyj6pBbd44biTvxSjH5ycjN/e/sNurcerUNBw9OhBFRZfi1KmLcfToAJw6dTFstnLk5HwIkWhAQMfu0qTJ6upq3HfffR3eNnDgQJ9c6q7at29fp9sFBQX48MMP/d5/9uzZmD17drcem4hu87PF+LjE3L79VYUF/x4fD24XhpO8R7fbFu8gOau9xTeV7IA7WIvddCYxcSlaW79p39bptsFur4JA0C9kj8kwDAyGn9DQ8AqMxl/87sfjqZGYuBRq9WLweAkAgHnZJtaiQJvLLVgxksxhCBTDMLj/dx1OtbLTRv41ToFRat9VPLtKIhmJ/PxvUVJyBRwO9yJwBsNPOH36b8jN/RQ8nqLbx49VTU0bYLeXebRwkZr6RMT60xNcDoV3piRg8hYNaszudKG7f23BkAQ++sdHbc2KPk8qHYPBg39Hc/PH0Ot/gMNRA4riQiodDbn8YiiV3SvA0KWf50ql0m/5l7KyMiiVyoAfmCA6c1GaEHF8d3CtsdL4o7FraSXeAXdcHEkn6S0sTga7Q7S6ZGdksskQiQZ7tLjQ1NT54l3dxTBOtLR8gVOnJuP06Sv9BtsCQRYyMl7CkCFHkZKyoj3YBoDZWSJWqsPxFidKWklaSaDeO2nC56XsEclr+4txy0BJj48tEg3AgAHfQijMY7WbTPtQXDwTDkfoihJEI5fLiPr6F1ltKtUCiER5fu4R/VQiLj6YqmQtSKV3MLhpZzPMTrIoTjTjcuORlHQ78vI+x+DBf2DQoF+Rm/sxEhMXd7sAQ5cC7ksvvRTr16/Hd999B4ul7cOHoigcPXoU77//Pi655JJzHIEgAiPkUj4T4baUnftSHE1bYTT+zmoj+du9x+46Kywu96X9DCkXw5Shv3pBURQSE5ey2pqaPuh0Yk2gaNoCjeZdFBaORnn5rbBYOl41Vyweiuzs91BQcBCJiYt9ShQCgFrExYUp7MvZW8qDP7m9NzuoseORfa2stgIFD6snKoKWTywQ9EN+/rcQi4ez2q3WQhQVzYDNVh6Ux4kFGs1bcDrdC9dxOBKkpj4UwR4Fx5gkAZ4dE89qK2xx4sE/WiM++Zrwz+XSw26v8mlvanofTqeuW8fsUsC9dOlSjBo1Ck899VR7cL1kyRLcdtttyMnJwZIlS7r14ATRmXle1Uq2VljOuWqXybQXDOMOgvj8NAiFva9WaF/1XWVoV5fsTELC1az6rC5XC1paPuvxcZ1OHerr/43jx4ehuno57PaOF/aQySahf/8vMHDgL2fqaHd+SXpedvBWbe1rtFYXbt6phcNjEFLOp7BxmhKS7qzC1Qk+PxH5+V9BKp3Aarfby1BcfDkslhNBfbxo5HA0oaHhdVZbYuIdAZddi1ZLBktxZQ77++zjEjM2Fpn93IOIJJ1uK44fHwaNhl0QxG6vRFXVAzh+fDhaW3cEfNwuJRHx+XysXr0a+/btw4EDB6DT6SCTyTB69GhMnDgxpmYPE7FjWpoIcj4Fg6MtyG6w0NjTYMfEFP8LCHRUDpC8PnsHhmHwfXX487fPOlsisLHxtfa2xsa1UCpv6tbx7PYaNDa+hebmD0DT/ibKUYiPn43k5PsDnvg7J0uM5X+04uxP1CNaB8r0TuTEkdzRztAMgyU/t6Daq27yGxcmIC8+NFdTuNx45OV9gbKyW6DXu1fIdTjqUFw8E/37f96rJ343NLwEmja0b3O5CUhOvjeCPQouiqLw6gUKHNU6UOQxH+Afe3UYoeJjZA/mAxDBZTYfQnn5rZBIRkOhmMe6TSDIRH7+NtTUrERZ2Y0YOHA3xOLBfo7kq8tlAXU6HcaOHYs777wTjz76KO69915ccMEF0Gg02LhxY2BnRBBdIOJRPgHVuUbpvBdLIOkkvcfhZgfqzO4hRymPwqROfnyFglp9Kzw/Nq3W4zAafwvoGFbrKVRU3InCwpHQaN7sMNimKAFUqgUYPHgfcnM/7FawlSTmYmIK+4ucjHKf278PG/BDDXuewB0FUp8rbsHG4UiQm/sREhKuYrW7XC0oKZnnM5jQW9hs5Whqeo/VlpLyILjceD/3iE0yPgcbpykh9Vigy+YCbt6phc5G8rmjRUPDfyCRjEJ+/rYOP3dlsguQn/81hMI8NDS8HNCx/QbcNE2Dpmm4XC6sWrUK5eXl7W2e/w4ePBi0OtwE4W2uzyI4/tNKnE6tT91MuXxKqLpGhNm3HawuKQrB6pKdEQqzEB8/k9XW1RKBRuNelJZejxMnxkGr/S8YxncSI4cjR1LSfRgy5DAyM1+DSNSzdCjvRaS2VJCAuzM/1Vjxwl8GVtu4JAGeGROe4I+i+MjKWnfmh50bTRtx+vTV0Om2haUf4VRX90/We4HPzzhT+773GaTg45WJClZbhdGF239pOWe6JBEeJtOfUKsXd5qyx+EIkJi4BCbTPr/7dMTvEZcuXYqjR9sm7TAMg9tvv93vQQYP7vqQOkEE4pJ0EaQ8qr0Gbq2Zxv5GO8Yl+45sGgw/A3B/aIlEQ8DnJ4Wrq0SIea8uGc50Ek9tJQLdgU9r69eQSG4D4BscMwwDvX47Ghpe6XSxHB4vCYmJd0CtXhjUcnCzs8T4xx53WslfTQ6UG5zIlpO0Em/VRicW726BZ9ijFnHw/kVK8ANZ3aaHKIqDjIyXwOUmoKHhpfZ2hrGjrGwBMjPfgEp1Q9j6E0pm81GfeRCpqY+Cw4nMezscru4vwd5GO9496b6y9V2VFa8eNWLZcHkn9yTCwelsBp+ffM79hMIcOByac+7nye+n7qOPPooffvgBDMPgvffew6xZs5CSwp7AwOFwIJfLcemllwb0oATRVWIehcv6ibDJo0LJlgqLn4B7F2ublAPsPWpNLhxudo+CUWibMBkJMtmFEIkKYLUWnmmh4XB8DmBy+z4M40BLyxdoaHjNYz9fQmEukpLuhVJ5XUiCjFQJF+OTBfijwV1S86tyC+4ZRr7YPdldDG7ZpYXW49I+hwLem5KANGnoFlXyh6IopKU9Di43HrW1nnWoaVRW3gmXqxVJSXeEvV/BVlf3DNiDJAVQKq+NXIfC5Lmx8firyY6DHivmrvpTj9GJAkxODW+aHMEmEKTCZis/59Vxu70SfH5iQMf2G3Dn5OTgtttuAwDU19dj4cKFyMjICOjgBBEM87LFrIB7a7kVz41hfCZDkvzt3ut7r9Ht0Yl8JInDHwgBZ0sE3o6qKvekLodjM2j6BTAMg+bmjWhsfJO1oIk3iWQUkpLuh0IxGxQV2vOYly1mBdxbKkjA7e3x/a04oGGn+Dw6Kg5T0iI70pqcfA94PAUqK+8D4P4xUFPzCFyuFqSkPBKzk8INhl+g17MrPaSlPRny90M0EHIpvD9ViSlbG9Fia/vBQTPArbu0+HleElJDuHJub0LTNlRX/wM63WZQlBBJSXchObnjRRrPcjpbcOLEWKSlrYRKdaPP7XL5xWhqeh8q1U2gqI6zrhnGhaamDyCVjg2ov12aNPnkk0+SYJuImOkZQkg8cnWrTS7WyAAA2GxlrHJqFCWATMYus0XEru+q2LnHM/qFdgLbuSiVV4HLTfBo0aOsbCGOHx+KmppH/AbbcvlU5OVtwYABPyEhYV5Ygos5Wey/1QGNA1VGp5+9+55NpWasO8GeuHpZhhAPDJdFqEdsKtVNyMl5HxTFngBbX/8iamoeAsPE3oQ7hmFQW7uS1SaVTkBc3GWR6VAEZMp4eGeyEp4/lzRWGot2aeGgST53V9TWPgGTaR/y8ragX7/VqK9/CS0tX3R6n+rqh+F0+k8FSUq6AzZbCcrKbu5w8SmHoxHl5YtgsRxFYmJgV5m6lMg3f/78c+6zefPmgB6YILpKwuNgeoaQtXDHlnILzk90fwF5j25LpePA4fR8NTgi8sxOGrvrwr+6ZGc4HAlUqpvR2PhKe5te/72/vaFQzEdy8r2QSEaGo3ss6VIuxiYKsE/jHuXeWmHFXUOiI6CMpCKdA/f+pmO1Zcq4WDNZCU4UjRwrFPOQmxuHsrK/s6raaDTr4HTqkJX1Jigq9AtABUtr61cwmw+y2tLTn47Z0fruuiRDhBUj5XjxkHui7h8Ndjx9QI9nx/auKi3B5nKZ0NS0Ebm5/4NEMhISyUhYrfdCo3kHCQlXdnif1tYdMJv/BI+n9ntcoTAX2dnrUF5+O44fHwaxeASEwiwwjAt2eyUsliOgKD4yM18PuHpUl0a4hw8fjhEjRrD+5eXlwWq1wmq1Ys6cOQE9KEEEap7XKN3mcgtrlS7v/G2STtJ77Kq1wepREjlDysWQhMhP+ktMZJcI9EZRIqjVt6Kg4CByctZHJNg+a57XohtbSXlAGB00FuzUwuh0f44IOMCGqUokCIO7uE0wxMVNRV7eZtbiSwDQ0vIpSktvCuqqp6HEME7U1q5itcXHzwr48nxv8dAIOaalsfO23zhuJO/Rc7BYjoFhbJDJxre3SaXjYTb/CYbxvYLnchlQVbUMmZmv+Fwt8hYfPxODBv0CtXoxXK5WtLZ+C4PhR9C0FYmJd2Dw4D3dmmtA6XS6bl+7sFqtWLZsGc4//3zceuut575DhBUXF0e6C0QIMIwLJtOlAPTtbWLxBnC5BZHrFNEnWCwPweX6yatVDj7/KvD514LDUUWkX0Tv5XKVwGq9GwzTzGrncM6DWPwyKCq6r1w4HF/CZvunRwsHEsn/wOHkRKxPRHTLz/etAKXTbUFl5TIMH17a3ma1nsKJE+MwdOhJn1VKq6oeAMPQyMx8BceOFSA19bEOc7hDqUfDRCKRCNdffz1efPHFmAi4O3rSQqG4uDhsjxWNQnX+f/+xGds8lva+f5gMK8+Ph8l0EEVF7mCby03AwIGhn4zWkb783Ifi3GmGweBP6tFgceepbrpUhWnp0VE2zGZ7GUVFl8Lp1IDPTztT2u8WcLnRNynxkm2NrImBL4yLx+0FwQnOYu11/+4JI5bvaWW1XdNfjLWTEgJOawj/uefDZvsRJSXzWPNWaPpP0PQy9O//Ofh8/5fMgynQc6dpM44fX89qU6luRGZm7FU6C/bzvr/RjpnfauDwSMkfksDDjtmJkPCi74pLpN/zNG0Bh8O+MkBRwjO3sVMQDYZf0dr6HQYP9l+aNRx6/CzabDa0traee0eC6KH5OR2nlfhWJ5ncJ2a69wWHmhysYFvGo3BBmFeX7IxQmIMhQ45CIvkMQ4YcQXLyPVEZbAO+aVl9ddXJgxo7HtnH/s4arOBh9QRFzOQQC4XZGDDgO4hE7Kt4FsshFBfPhN3uv0JOJDU2roXTWd++TVEipKQ8HMEeRY8xSQI867XA0vEWJ5b/0cpKnyTaUJTIJ7BmmLZtz/lbNG1BVdW9yMj4V8RXL+3SCPf+/ft92miaRn19PdavX4+hQ4cGvWME4e3SDBGE3LblcAGg3ODCEa0DEsMu1n4kf7v38F5dclq6EEJudAVFHI4IHE52pyuTRYM52WI8ccB9JWhPgx11ZlefKkGmtbpw804taxRRzqfaltzmR98oYmf4/FTk53+N06evhtl8oL3dZitCUdEM5OVthkiUF8EesjmdLWhsXM1qS0xcAoEgPUI9ij5LBkuxp8GOLz1+DP+3xIzxyQIsGCCNYM+iD5+fCpdLB5q2g8Npy8l2OBpAUULweO4KUibTQdhspaiouB0VFW0LONK0GVVVD8BkOoDMzNUdHj8UuvQNcffdd4OiqPZfWZ7/T0lJwbJly0LXQ4I4I07AwbQ0ESsI21bejFncvaz95PKLwtwzIlSiZXXJ3iBbzsMoNR9/nSmpyQDYVmHBbYOjO+c3WGiGwZKfW1BtcrHa37gwAfnxsVPhwxOPl4C8vM0oK/s7a+K4w1GN4uLL0b//F5BIhkesf54aGv4Dl8sz9S8eyckkdvBEURReu1CB4y0OFLW6J/6t2KPDcCUfI9WdT/brSySSYaAoAUymvZDLJwEATKY9kEhGsgY/pNLRKCj4k3XfoqLLkZR0J5TK8K7Y2qWA++233+6wXSaTIT8/P2YuwxGxb36OmBVwn2r4BTNT3XmpAkEOhMLsCPSMCLZqoxNHtezVJS8lAXePzMsStwfcQFtaVl8JuP992IAfatiXoO8okGJedmRruvcUlytDbu4nKC9fjNbWr9rbnU4Niotno3//TyK+JoHdXgWNZh2rLTl5GWskkmgj53OwYaoSF2/TwHymgo7NBdy8U4vdc5OgiMIKOpHA4UigVF6P6urlyMx8C05nAxoa3kBm5isA2ka7udw4cDhiCIW5rPtSFBc8njrglSJ7qksB93nnnQcAqKqqQr9+/QAAOp0OZWVlJNgmwmpGPxH4HLRfEs7g/sq6nYxu9x7fV7NHt8cmCaAW9Z30h1CYly3GyoPuUcbf6+1otLgitmpnuOysseKFvwystnFJAjwzpnfUOuZwhMjJeR+VlfdBq/2ovZ2m9SgpuQI5ORsQHx+5iYl1dS+059cCODPBeGnE+hPtBifw8epEBW77uaW9rcLowu2/tOC/F0dXjfhIysh4DlVVD6CkZC44HDlSUlYgIeEKAMCxYwORmflmwJVIDIbdAe1/riXgPXUp4NbpdFi+fDm0Wi02bdoEADh+/DgeeOABjB07Fs8//zxksr4xSkJEVryAg2lpQnxf3fbhfZ58D+v2uLiLItArIhS+qyTpJMGWE8fDcCUfR7SeaSVWLBrUe/NDq41OLN7dAs9pZ2oRB+9fpASf03sCF4riITPzDXC5Cmg0b7a3M4wFpaU3IDt7rd8FQULJYjkBrfZjVltKysPgcGL7ykKoXd1fgr2Ndrx70r3Q0XdVVrx61Ihlw6NzYna4cTgSZGWtQVbWGp/bRo3S+b3f0KGFfm8rKZmPtuupnU1UPXs7hVGjtF3rLLoYcL/++uuor6/HY4891t42YcIEvP7661i1ahXWrFmD5cuXd/lBCaIn5mWL8X21DQk8DfqLizxuoSCTdf3XJhG9TA4aP9dH1+qSvcW8bHF7wA20pZX01oDb7mKwcJcWzTb3LEkKwHtTEpAm7X2j+hRFIT39WfB4Caire9bjFifKyxfD5dJDrV4Y1j7V1T0DwP33FwoHQKUKb+5srHpubDz+arLjoEca2Ko/9Tg/UYBJqdFTrak3ycv76tw7dVOXkoF+//133H333ZgwwZ0HxuFwMHbsWCxduhS7du0KVf8IwsfMTDH4HGC01+i2RDIKPJ4iMp0igmpnra29Gg0AZMm4GKSI7iogsWJeNvuHy6/1NjRZXX72jm1P7G/Ffo/a4wDw6Cg5pqT13h9vFEUhJWU5MjJe8rqFQVXVMtTXh68qg9G4B62t37La0tKeiPqKPtFCyKXw/lQlEoTuKzE0A9y6W4t6c+98z0aaXH5hQP8C0aVXvcVigVjc8eWf+Ph4UoebCCuFkIOLUoUYzf2d1U7KAfYeHVUnIfNFgiMvno8hCTwcb2mrgkAzbWkltwzsXaPcm0rNWHvCxGq7NEOIB0f0jcvxiYmLweXGoaLiDgDu4Kyu7mm4XDqkpa0M6XuKYRjU1q5ktUkkYxAfPztkj9kbZcp4eGeyElfvaG5Pcmi00Fi4S4utM9S9Ki0qGjQ3fxjQ/irVTV3et0sB98CBA7F582ZMmeJ7uX7r1q0YMGBA13tHEEEwN0uEZB17hJtMmOwdaIbB914B9+WZvXdEMhLmZYtxvMU9iXBLuaVXBdxFOgfu/U3Hausn42Lt5L414UypvAZcbhzKym4Bw7jfU42Nr8LlakG/fqtDtkiYXv8dTCb2Z3R6emiD/N7qkgwRVoyU48VD7vfsHw12PHNQj1W9ZOJvtKisvDeAvangB9wLFy7EsmXLcMMNN+Ciiy6CUqmETqfD7t27UVxcjNWrw3eJiiAAYHpKBerMje3bFpcYNc5RGBTBPhHBcVDjgMbqzvmM41OYmEzyFYNpfrYY//So2vFznQ1aqwvKXlAFxuigsWCnFkane9KTgANsnKpEQh8sqRYfPwP9+3+O0tLrQdPu57y5eSNcLj2ystb6LJHdUwzjQm3tM6y2uLjLIJNdENTH6UseGiHH/kY7dta657a8fsyIsUkCzMkiE1CDZciQwyE7dpcC7vHjx+M///kP1q1bh/Xr14NhGFAUhQEDBuDll1/GsGHDQtZBgugIx/Yza/uIaTT0FTQGkbKuMe+7KvaS49PSRRBE2eqSsW6Ago/BCh5O6NrSSlwMsK3SGvOr2TEMg2W/63BS52S1vzBOgVF9eNEQufxC5Od/hdOnr4TT2dzertNthsulR07Oh+Byg/fca7X/g9V6wqOFQlrak0E7fl/E5VB4Z0oCpmzRoMYjf/uuX1pQoOCjfzzJiw8GgSAzZMfu8jM0YcIETJgwATabDXq9HjKZDOXl5di0aRMee+wxMnGSCCvPVdUA4KBhAgpbLPjHyLiI9IcIHu/l3El1ktCYmy3GCY9L1FvLLTEfcK8/ZcJnpewfbNf0F2PhQEmEehQ9JJKRyM//FiUlV8DhqG5vNxh+wunTf0Nu7qdBmXRO01bU1T3PalMqr4VYPKTHx+7r1CIu3p+agJnfNOHsBRy9g8GCnc3YMTsREl7fu4ITakbjXhiNv56pI9/2R2cYBjRtgtH4BwYN2tXlY3XrJ9HevXvxxRdf4MSJE2AYBsOHR8fSsUTfwDAOGI2/sdoOGCaizOpESasDeTG6TDMBVBqdKGxxj05yqLaJbkTwzc8W418eAfeuWht0NjpmV7L7U2PHI3vZE/gHK3hYPUFB8obPEIkGYMCAb1FS8jfYbCXt7SbTPhQXz0Re3pfg85N79BgazTusgJ6iBEhNfbRHxyTcxiYJ8ezYeDzs8Vo/3uLE8j9a8eaF5LUeTBrNOlRXP4yOa3JzEBd3SUDH6/Ina0VFBVavXo1Zs2bh2WefhVarxcKFC/HFF1/gnXfeCehBCaInTKb9oGlj+7bWoUKZNR8AsKXc6u9uRAzwXuxmXJKgV+QVR6NBCh4GeFyGdjLA15WWTu4RvbRWFxbs1MLuTv2HnE9h4zQlpPzY/AERKgJBP+TnfwuxmD1QZrUWoqhoBmy28m4f2+nUoaHhZVabWr04pJfp+6Klg6X4WzY7b/u/JWZ8WGyOUI96J43mXcjl0zBsWCmSku6DSnULRoyoRXb2B+BwRAEvJNXpJ5HL5cJPP/2Eu+66C9deey02bdqE0aNHAwBWrVqFpUuXIiMjo/tnQxDdYDDsZG0fNExA23IWbdUWiNjVUTlAIjQoisI8ry/trTH4/qEZBkt/bkG1iV2X+PULEpBPrnZ1iM9PRH7+V5BKJ7Da7fYyFBdfDovlhJ97dq6x8TW4XLr2bQ4nDikpD/akq0QHKIrCaxcqWD+YAWDFHh0ON9sj1Kvex26vQGLireDxEiCVjoLJ9Ac4HDESEuYhKeleaDTrAjqe34B73bp1mDt3Lh555BEYjUY8+OCD+Oabb/DUU0+BYTpb8pIgQstg2M3a/tPo/tI4onWgTO/0vgsRAwwOGr+S1SXDyjvg/ulMWkkseemwATtq2K+b2wukmJ9DKjd0hsuNR17eF4iLu5TV7nDUobh4JkymgwEdz+GoQ2Pj26y25OR7weOpetxXwpecz8GGqUpIeO4UEpsLuHmnNubew9GKogSgqLbPEaGwP2y202CYtoW0ZLLxrLSsrvAbcL/33ntQKBR45513sGHDBlx99dWQy+UkP4iIKJer1eeLgBJNZm2TUe7Y9FONjZUSkCPn+ozgEME1JIGH/nHulB0H7XuVIZrtrLHieY/yhgAwNlGAZ84ntYm7gsORIDf3IyQkXMVqd7laUFIyz2dwozN1df8Cw7g/e3m8ZCQm3hG0vhK+Bifw8epEBaut3ODCHb+0gCYDoz0mkQxDa+vXAAChMA8AYDIdAADY7TUBH89vwD1v3jzU1dXh9ttvx5133olt27bBao2dD2KidzIYfoHnqmki0SBMy8xh7bOZBNwxiawuGX4URWG+1yh3rPxgrTY6sXh3C2s6k0rIwftTlaSMZAAoio+srHVQq29ltdO0EadPXw2dbts5j2G1Fvus0Jea+lBQSw0SHbu6vwSLB7H/zt9WWfHaUaOfexBdlZh4J5qa3kV5+RJwOCLEx89GefltqK5+CLW1T0Imm3Dug3jwG3A/+uij+Oabb/Doo4/C5XJh1apVuPzyy/H888+TL0EiYrzLAcrlUzAnSwzPV+ShZgfKDSStJJa4aAbbfQJukhIQDnN90kqs0Nuj+5K03cVg4S4tmj0unVMA3rsoAelSMsk2UBTFQUbGS0hOXs5qZxg7ysoWoLn5v53ev65uFTwHQoTC/gGtwEf0zHNj43Gemj1f4Zk/9filzubnHkRXKBSzkZv7SXtJy379/gORKB/NzR9CJBqMjIx/B3S8TidNikQizJ49G2vXrsXnn3+Oq666CgcPHgTDMHjiiSfw5ptvoqioKKAHtNvt+Oc//4mLL74YM2bMwMaNG/3uu3//ftx0002YMmUKbrvtNhQWFrbfRtM0Jk2ahLFjx7L+GQwGv8cjYp9vwD0VKRIuxiezF7X4KkZG6Yg2BzR2VvAUJ6AwMaXvLlQSTsOVfGTL3UGqzQV8H+VpJU/sb8V+jYPV9ugoOS5KIzn/3UVRFNLSHkda2iqvW2hUVt7pk599lsl0ADrdVlZbauoToCgyYTVchFwKH0xVIkHoHnqiGeDW3VrUm12d3JPojEazDiLRACQn3wcA4PESkJf3JUaMqEV+/lcQCAIrGtLlekn9+vXDXXfdha+++govv/wyBgwYgP/+979YsGABrr322i4/4GuvvYYjR47gjTfewCOPPIL3338f27dv99mvrKwM9913H8aOHYuNGzdi0qRJuOuuu9DQ0AAAqKmpgd1ux5YtW/DNN9+0/5PJZF3uCxFb7PYqr0kKvPalgr0vi5O0ktjinU5ySboIfA65khYOHaWVRPP758syM9aeMLHaLs0Q4sER8gj1qHdJTr4HmZmvwzs8qKl5BHV1/2QVTWAYBrW1T7H2k0hGQaGYF46uEh4yZTysm6xkXe1ttNBYuEsLB03yubujtnYlLJYjQTtewAVKORwOLrzwQvz73//Gtm3bcPfdd3f5vhaLBVu2bMEDDzyAwYMHY8qUKfj73/+Ozz77zGffzz//HIMGDcI999yDrKwsLFiwAMOGDcPnn38OoC0gT0lJQWpqKtRqdfs/ku7Se3mXA5RKx4DLbfuSnZPFDhgONjlQaSRpJbHCO+C+nFQnCSvvaiU/1FhhcERfWkmRzoF7ftWx2vrJuFg7WQkO+ewPGpXqJuTkvA+KYl9lqq9/ETU1D4Fh2l4bLtfvPouQpaWtJN/DETI9Q4TlXj88/2iwY9VBfYR6FNsEgmw4HJqgHa9HKwIkJCTg73//Oz755JMu7V9cXAy73Y4RI0a0t40cORKFhYVwOtnBUW1tLYYNG8Zqy8/Px9GjRwG0BdyZmaSYfl+i1+9ibcvlF7X/P03Kxbgk9pdDLNYU7ovKDU6c0Lnf/1yq7YuDCJ+RKj4yZey0kh1RllZictC4eacWRqd7tE7AATZOVSIhRlfHjGYKxTzk5n4CDoc9IU+jWYeKittB0zbY7W+ybpPLp0EunxLObhJeHh4px9Q09uq8rx0zYlsF+T4MlFp9M2pqHkd5+WLU17+M5uYPff4FIqw1t5qamhAXFweh0P1iUCqVcDgc0Ol0UKvVrPbGxkbW/evr66HT6QAApaWlMJvNWLJkCaqqqjBw4EAsW7YMWVlZYTkXIrwYhobRyC5RFRc3lbU9L1uMvY3uov9by624eyi5zBztvEe3xycLYnZ58Vh1dhGc14+5KxtsLrfgilxJBHvlxjAMlv2uY/0wA4AXxikwSk1y/UMlLm4q8vI24/Tpq1kL2rS0fAqz+RBoupi1f1raUyAii8uh8M6UBEzZokGNR/72nb+0oCCBj9w4Umq1q9qWdQdaWr7wswcV0OTgsP7lrVYrBAL2h+PZbbudvTrS9OnTsWzZMvz000+YPHky9uzZg59//hlJSUkAgPLyclgsFqxYsQISiQQbNmzAHXfcgU8//dRvHndxcXGH7aEQzseKRsE+f5frFJzOZo8WKWpq5KAo9+MMoykA7kvj+zR2/HqsBMnC8Oav9eXnvjvnvumUEIB7dPV8kRHFxbrgdSpMYv15P4/LAeC+svB9lQVHThZD3MWiH6E8/8/rePi0lP3dMSPRiQs5tYiGP3usP/edU0AgeBtW691gGPdnsM3GLpjA412GmhoJgN78t2CL5uf9mTwOlhwVwsW0pffoHQyu/a4O64dbIQpSIZ9wnX9+fn5YHsfbkCGHg3q8sAbcAoHAJ7A+uy0SsS8hjx8/HnfccQeeeuopOBwODBw4EFdffTUOHGgrOr5u3TrQNA2xuC3AWrVqFebMmYPdu3dj1qxZHT5+uJ604uLiiL1AokEozr+h4RtYPK6IxcdPQW7uYNY++QDOr2jEAY/qBUepFFyYH76JtH35ue/OuevtNP76vY7VdtN5GciLsSW5e8PznscweKKkoX2JdBtNoUyU4ZPf3ZFQnv+fGjtW/87Ooxys4OG9y1Ih5Uf+SkhveO7PLR82248oKZkHu73C51aK4mPAgH9BKMwOf9ciJNqf93wAGrERD+9tbW8rNnGwpkmNNy9M6PHxo/38g0EgCG7aclg/rZKSkmAwGOBwuAOi5uZmCAQCxMXF+ey/YMEC7Ny5E9u2bcOGDRsAAGlpaQAAoVDYHmyf3U5LS4NGE7wEdyJ6eE+YlMundrifd3CwleStRbWfamzwnJuXF8eLuWC7t6AoCnOz2QMfm8si+/7RWl1YsFPLWoFUxqOwcZoyKoLtvkQozMaAAd9BJCrwuU2luqVPBduxYulgKf7m9Z34UbEZG4tMfu5BeLPba1FV9QCOHx+JQ4dSYDYfQk3N49BqPw/4WGH9xBowYAD4fD6OHHGXWTl8+DAGDRoEHo892L59+3b8+9//Bo/Hg1qtBsMw+O233zB69Gg4nU7MmjWLVU7QbDajqqqK5HD3QjRtgdH4B6vNX8A916tayZ4GO+pIHdKo9W0VO6CbQaqTRNQ8r/fP9morzM7IVCuhGQZLf25pH3E/640LE5BPfpRFBJ+fivz8ryGRnN/exuOpkJKyIoK9IvyhKAqvXahAfjw7vlqxR4fDzXY/9yLOslpLcOrUJOh0WyGVng+GafubORwaVFQs8ak/fy5hDbhFIhFmzpyJF198EcePH8fPP/+M//u//2uv493U1NS+fHx2djY2b96M7du3o7q6Gs899xwsFgtmz54NHo+H8ePH4+2338aff/6J06dP48knn4RarcakSZPCeUpEGBiNe8Ew7hWz+PwMCIX9O9w3S85jrbjFgCyCE61cNIMd1eyV0GZkkoA7ksYkCZAmcX8tmJwMfqiOzGp1Lx02YEcN+7FvL5Bifg5ZgTSS2hb/2IK0tKfB51+LvLyvwecnRbpbhB9yPgcbpyoh4blLNdpcwM07tdDZoq/0ZzSpqXkMfH46Cgr+QlbWGrRFFEB29looFHPQ0PBaQMcL+zW5ZcuWYfDgwbjzzjvxwgsvYPHixZg+fToAYObMmfjhhx8AtI2GP/roo3jrrbdw4403QqPR4M0332xPI1m+fDkmTpyIxx57DAsXLgQAvPrqqz4j5UTs800nuajTOq/eaSVbSFpJVNqnsUPr8YGvEFAYn0QqTkQSh6J8atpHIi1rV60Vz//FXjV4bKIAz5wfH/a+EL64XCmSk++DULgcYvGgSHeHOIfBCXy8MlHBais3uHDHLy2shYwINqPxNyQnLzuz3gc75lCpboLVeiqg44U9OhWJRFi5ciVWrlzpc9u+fftY27NmzfI7AVIsFmPFihVYsYJcyurtvANu73KA3uZli/HUAXeh/9/r7Wgwu5AsCdLUbCIovqtklwOcniECj6wuGXHzc8SslRy/q7TC6mQg4oXnuakxuXDrrhZ4hgEqIQfvT1VCwCWvD4Lojmv6S7C30Y73Trrf299WWfHaMSPuG0bK53aMA+9A+yyaNgW8wBOZdUJENaez2WdpVZms84UVsuU8jFCx00q2VZJR7mjjXX+b5G9Hh3FJAqSI3V8NRieDH2vCswiO3cVg4U4tmj2ufFAA3rsoAelS8oOZIHrin2PjWSmXAPD0QT1+rY9M2li0k8kmoKHhZbhcrR6tFBjGBY3mXUilEwM6Hgm4iahmMLAXuxGLh4PPV/vZ280nraQ8ulbN6+tK9U6canUvYsKjgIvTScAdDTpKKwlXWtaTB1qxT8OezPXoKDkuSiOvDYLoKSGXwgdTlUgQukdmaQZYtEuLelJcwEd6+jOw2ytRWDga5eW3AqDQ0PAqTp6cBLP5ENLSHg/oeCTgJqJaR/nbXeFdbeHXehs0FvKBEi2+9RrdnkBWl4wq87wmJn5XaYXNFdpczy/LzFhTyC5XNj1diAdHkMvdBBEsmTIe1k1WshIlGi00Fu3SwkmTfG5PItFADBy4E3L5NBiNe0BRXBiNP0MkGoABA7ZDLB4a0PHINxwRtRiGgV7ftfrb3vrH8zBU6b50RjPA15VklDtafOeV4jMjk1SeiCYTkgRI8kgr0TsY7KwN3funSOfAPb/qWG0ZUi7WTk4AJ8A8SYIgOjc9Q4TlXj9kf2+w45mDej/36JtcLiOEwlxkZ6/DsGEnMXKkBsOGlSAn5wOIxYPPfQAvJOAmopbNVgqHo7p9m6KEkMnGd/n+87K8FvEg5QGjgs5G448GdtrA5SR/O6pwOR2klYQoLcvkoHHzTi2MTvfomoADbJyqhDJYa1ATBMHy8Eg5pqYJWW2vHTNiG6nq1e7YsQEoL18Cvf6noFRzIQE3EbW800lksgngcLo+Eupdr/eXOhuarSStJNJ+rLHCI7bCgHgecuNIOc9o472I1DeVFtiDnFbCMAyW/a7DCZ2T1f78uHicl0hKRBJEqHA5FN6ZksCquw8Ad/7SglK908+9+pakpPtgsRzG6dNX4vjxAtTUPAmL5Vi3j0cCbiJqdTd/+6z8eD4KFO5AzkXSSqICqU4SGy5IEUDlkVffamewuy641QzWnzLh01L2iNo1uWIsGigN6uMQBOFLLeLig6lKeFb81DsYLNiphcVJ8rlTUx/C4MF7MXDgTigUV6Cl5QucPDkZJ09eiMbGN+FwNAZ0PBJwE1GJYZwwGn9htQUacAPAXJ9qJeRyWSQ5aQY7qknAHQt4HApzvNKygvn++VNjxyN7W1ltgxU8rJ6oCLi+LUEQ3TM2SYhVY9gLSh3TOrBijy4yHYpCEslIZGQ8hyFDjiEvbwvE4pGorV2J48fJpEmiFzCb/4LL5Z7AweOpIBYPD/g43mklu2ttaCHL2UbMnkY7dHb3yEmCkMJYsrpk1PIur/l1pQWOIFQy0FpduHmXFnaPt6KMR2HjNCWkfPK1RBDhdHuBFH/zeq//X7EZHxaZ/Nyj76FpG1pbt6Kp6T3odJtBUXwoFHMDOgb5ZCOikm/+9hRQVOAv10EKPgbGu9NKnExbLioRGWR1ydhyYaqQVbO3xcbglx6mldAMg6U/t6DKyJ5P8fqFCuTH8/3ciyCIUKEoCq9dqEB+PHsuzYo9Ohxptvu5V+/HMDT0+h9RUXEHjh3LR1nZQjidjcjI+CeGDj2F7Ox3AzoeCbiJqORbDvCibh/Lu6YwSSuJHO/8bVKdJLrxORRme5Vs7Gm1n5cPG7Cjhh20Lx0sxd9yJD06LkEQ3Sfnc7BxqhISj4RuqwtYsFMLXR+9Knzs2ACcPn01TKa9SEy8CwUFfyE//xuoVAvA5Qa+PgAJuImo43IZYTLtZ7XFxV3U7eN5L4Kzs9bWZz9AIqmk1YESPXt1yWlkdcmo551Wsq3C2u0FMnbVWvHPvwystrGJAp8cUoIgwm9wAh+vTFSw2soNLtz5a0tQyuLFmvj4OcjP/xYFBX8iNfUhCIVZPToeCbiJqGM0/gbAHZgJhf0hEGR2+3gFCTzkeZSdc9C+Kx0Soef9N78gRYh4AfkIinZT0oRQCNyjXlobjd/qA08rqTG5cOuuFnh+bauEHLw/VQkBl6QVEUQ0uKa/BLcOYlcJ+qbSiteOGSPUo8jJzFwNkWggzOajMJuPwOls6dHxyLcdEXV6Wg7QG0VRmE+qlUScTzpJJhndjgV8DoWZPUwrsbsYLNypRbPHlSUKwLtTEpAuJYvbEEQ0+efYeJynZs+nePqgHr9244d2rDIYfkZx8SwcPdofp05NwalTF+Ho0f4oLp7pk/LaVSTgJqKOwbCLtd3TgBsA5mazg7ufaqzQ20laSbjobDT2eK0uScoBxg7vtJKvKqxwBZBW8uSBVuzTsJ//R0bJMZWkFBFE1BFyKXwwVcmaME0zwKJdWtSbe//icRrNOpSUzIfNVoHExNuQkfEC+vV7GUlJd8Fur8Pp01ehsfGtgI9LAm4iqjgcdbBaT3q0cCCTTerxcYcp+ciRu0fS7LTviCsROjuqrfBcpHCwgodsOVldMlZclCZEnEdaSZOVxu8NXate8GWZGWsK2eXFpqcLsXxE4JOOCIIIj0wZD+smK1ltjRYai3Zpuz2HIxaYzYdQXf0o1OpFKCj4ExkZLyAxcQnU6oVIT1+FgoKDSEy8DbW1T8FsPhTQsUnATUQVvX4Xa1siGQ0eT9Hj45K0ksgiq0vGNiGX8qko05X3T3GrA/f8qmO1ZUi5WDs5ARyyuA1BRLXpGSKfH8a/N9ix6qDezz1iX2Pj25BKx6Bfv5fA4fiuEUFRHGRkvACpdDw0mrUBHZsE3ERU8c3fnhK0Y3tfFv+hxgqDg6SVhJqDZrCjhgTcsc43rcTSaVqJyUFjwU9aGD2WiBZwgI1TlVCKSN42QcSCR0bKcVGakNX26jEjdjf3zvewyfQHVKqbzrmfSvV3GI2/BnRsEnATUYNhGBgMu1ltcXFTg3b8ESo+smTuDwmbC9hO0kpC7o8GO/Qeq0uqhBycn0hWl4w109JEkPPdo9INFhp7GjtOK2EYBsv+0OGEzslqf35cPM4jzz1BxAwuh8K7UxKQJmGHiyuLBKg2Ov3cK3Y5HA0QCDLOuR+fnwaHoymgY5OAm4gaVusJOJ0N7dscjhQSyZigHZ+iKJ9ROpJWEnrfVbH/xpf2E4FLVpeMOSIe5XNlwt/75/1TZnx6mn3b1bliLBoo7XB/giCil1rExQdTlTi7Jg6HAm7KcCCtF1YY4vGUcDhqz7mfw1EHPj8xoGOTgJuIGr7LuV/YYQ5VT3gH3DuqbTCRtJKQYRjGZzl3kk4SuzpKK6G9FsT4q8mOh/fqWG2DFDy8MlEBiuRtE0RMGpskxKox8VCLOPjyUhUW9XP2ynkYUul4NDd/dM79mps/glQ6PqBjk4CbiBq+5QCDl7991nlqPjI8fpVbXAx2VPed2qLhVtzqRKnBXUZKwAGmpQs7uQcRzS5OF0HqsfRznZnGPo+0Eq3VhQU7tfCsuCnjUdg4VQkpn3zdEEQsu71Air1/S8KUtOgYNKFpGyor78ORI1k4enQAGhpe9btvS8smnDgxAYcPp+HEiQvQ2vpth/slJd0Jo/E31NY+6/dYNTVPwGT6HUlJdwTUX1KXi4gKNG07s8Kkm1wevPzts86mlbx53L1q1pZyC+bniDu5F9Fd3tVJLkwRQk4Cr5gl5lG4rJ8Im8rc6SJbyi1YpARohsHSn1tQZWTX6X39QgUGKPjehyIIIsZQFAVVFE14rq19AibTPuTlbYHdXoOKitshEGQgIeFK1n5G4++oqFiKjIyXIJdPQmvrdpSW3oSBA3+ERDKCta9UOgZpaU+jtvZJ6HRbER8/A0JhNiiKB5utEjrdVthsp5Ge/hwkklEB9Zd884WI3V4Dhum9tSqDzWTaD5o2t2/z+akQiQaF5LG8ywN+X22F2UnSSkLBezl3kk4S+7zTSraWW0EzwMuHDdhRw75atHSwFH/LkYSzewRB9AEulwlNTRuRnv48JJKRUChmITn5Xmg07/jsq9V+jPj4uVCrb4ZQmIukpNshl09CS8uXHR47Ofke5OZ+Ai5XjsbGN1BV9SAqK+9DQ8PL4PGUyMvbhKSk2wPuMxnhDgGXqwgnT94BlWoB0tJWkbzFLugonSRUf7fRiXykS7ioObNiltnJ4IdqG+Zmk1HuYNJaXdjrVcViBlnOPeZNzxBCwqNgPlPur8bswgfVPKypMLD2G5sowKox8ZHoIkEQvZzFcgwMY4NM5s6jlkrHo77+32AYJyjKHd6q1UtAUd5X2SgwjP8qZfHxlyI+/lI4nVrY7ZUAGAgEmeDxVN3uM6XT6frMMGxxcXHIH4Omq2CxLAbDaAEAPN5cCIWPsJ58wpfZfAto+nj7tlD4NPj8mRHsEUEQBEEQkZafn+/TptNtQWXlMgwfXtreZrWewokT4zB06Enw+Sl+j2exnMDJkxciJ+d9KBRzQ9LnjvSpKLCjJy2YGIbGqVML24NtAHA6t0IqZZCd/S44nL4xWay4uDigv7XTqcPRoydYbfn513b6humpPQ02zPjGXUNTxqNQfH0qxLyejaoHeu69ife537JTi80eZeMeHC7DE6N754hnX3vevywzY+Gulg5vowBsulSFqel942pGX3vuPZFz75vnDkT+/Gna4hNTUZTwzG3+CyE4HBqUlf0dMtkExMfPDmkfvZEc7iCiKA4yM98ERSWw2ltbv0Jp6bVwuYx+7tm3GY0/A3DnUItEBSENtgFgbJIAKWL3y9/oZPBTDVkEJ1jsLgY/+qwuSVJ2eovpGSL4mzv1yCh5nwm2CYKIDIoS+QTWDNO2zeF0PG/Ebq9BSclsAFzk5GwERYU3BCYBd5BJJCMgFr8DPp+9UpHBsAslJfPhdHY8KtSX+eZvXxTyx+RQFOaQRXBC5vcGGwwOd7ZaooiD0YmkUkVvIeNzMD3DN6i+JF2I5SPkEegRQRB9CZ+fCpdLB5p2zxNyOBpAUULweAk++9ts5SguvhwAhfz8beDxlGHsbRsScIcAh5OFAQO+g1DIvtxiNh9AcfEsOBz1EepZdNLr2QvehCPgBnyrlXxbZYXN1WemNITUt16L3VzaT9QrF0noy7zfPxlSLtZNTiDPM0EQISeRDANFCWAy7W1vM5n2QCIZ6TNnzulsQUnJfHC5ccjP/xp8flK4u4v/b+/Ow2O6/geOvyeTZbIHkUjIYkmIFvH9koZKQu371tq7aKmqqlq6+rZSShdKi9KilKK109qXUq0WbW1VRchCgkQSWWWZ7fdHfhluJoglk0Q+r+fJ82TOvXPnnHtn5n7m3M89ByTgLjW2trUICNiGvb1yjMfc3FOcPduJvLzYsqlYOZOXF0t+fozpsUplg5PT4xZ57VAPWzxuSivJ1BrZe0nSSu6X0Wg0G39bhgN8+PTyt6ft/09i5G5rYPkTValajsboFUI8vKysHKhadSDx8RPIzv6L9PStJCbOpXr1EUBBb7fBUHDV+vLlKeh0qfj6zsNo1KHVJqLVJqLXp1u2zhZ9tUrGxsadgIAfcXJqqSjPz4/l7NlO5OScKqOalR+ZmT8rHjs6hqBWO1rktdVWKnr4KXvpNsZIWsn9Op2mIy5LObtkG+/KccNwZaK2UrG2fTWOP+nJhv/mEuxuW9ZVEkJUIrVqFUw+c+5cDy5cGEeNGq9TpUofAE6erM+1a+sBuHZtIwZDBmfOhHPyZH3T38WLr1u0vpVqlJKyoFa7ULfuOmJiniMjY4epXKe7QlRUF+rWXYujY7MyrGHZyswsm3SSQj387Vl0Otv0eOvFXPL1RmzVcln8XhXt3Q73ssNJZpd8KKlUKvycrYmSjm0hhIVZWTng5/clfn5fmi1r2jTN9P/NQweWJTkLWoCVlT116iynSpV+inK9Po1z53qSkbGvbCpWxoxGvVkPd2lM5347LT1tcdfc+Bhk5BvZd+nWQwqJO5N0EiGEEELJ4gF3fn4+06ZNo23btnTq1Illy5bdct0//viDp59+moiICIYPH86pU8oUjF27dtGnTx/CwsKYMGECqampt9hS2VOpbPDz+xJ39+GKcoMhm+jofqSl/VBGNSs7OTl/o9ffGLVFrXbFwaGpRetgbaWiu58yINwUJ2kl9yo5V8/hIrNLdpSAWwghRCVn8YB79uzZnDhxgrlz5/L222+zZMkSdu7cabZeTEwMY8aMISQkhGXLlhEWFsaoUaNITEwE4NSpU0yePJnnn3+exYsXk52dTWRkpIVbc3dUKitq1fqEGjWUeUNGYz4xMc+RkrK8jGpWNoqOTuLkFI5KZflr0z2LjLawJS4HrUFGK7kXOy/mcvOee7SqDT5OkrkmhBCicrNowJ2Tk8OmTZsYN24cQUFBREREMGTIENasWWO27tq1a2nQoAGjR4/Gz8+PZ555hkaNGrF27VoAVq1aRZs2bejWrRsBAQFERkZy8OBBLl68aMkm3TWVSoWX10Rq1pxaZImBCxdeISnpizKpV1ko6/ztQq1q2FHV7sZHIS3fyP7LklZyL4qmk3SW3m0hhBDCsgF3VFQU+fn5NGlyY6i84OBgTp06hU6nU6x76dIlGjVqpCgLCAjg77//BuDkyZM0bXoj/cDT0xMvLy/T8vLOw2MUvr5zKXoIEhImcunSBxiND3cPq8Fwnezsg4oyFxfL5m8XsrZS0a1oWolMgnPX8g3wU4Lyh4oE3EIIIYSFRylJTk7GxcUFO7sbQ4RVrVoVrVZLWloa7u7uivKkpCTF869cuUJaWhoAKSkpivVv9ZybRUVFPYBWlEzJXusxNJqPyM2dCGhNpYmJM0hNjcPWdoLFpx59UO7Ufp3uIEbjjVxflcqbuDgdKpXljtHNmtlYsYwbweGm6GxGuidjfQ+735Lvs/LkSLoVWbobPxSr2RhxvBZHVFrZ1cmSKutxL1SZ2y9tr5wqc9vBcu0PCAi480oVgEUD7tzcXGxtlWO1Fj7Oz1feaNW+fXvGjh3LTz/9RHh4OAcPHmT//v14eHjccls2NjZm27mZpQ5aVFTUXbxWAJmZ9YmOHoTBcGN4Oq12DU5O4Oc3D5WqYk2JXZL2JyQsI/em7IOqVdvj6xtYyjW7NX+DkfeiLpOWXxAwputUJDr70Nr77npo7+7YP1ymb49VPO5a25H6gbXKpjIWVpmPO1Tu9kvbpe2VUWVv/72waPepra2tWUBc+FijUQY2oaGhjBw5kkmTJtGqVSsWLlzIU089haOj4y23pdVqzbZTETg7R1Cv3ibUajdF+bVra4iOHmKaLelhUl7ytwvZWKnoWmQSHEkrKTmj0cgvqcobXmU4QCGEEKKARQNuDw8PMjMz0WpvpE+kpKRga2uLi4uL2frPPPMMe/fuZfPmzSxduhQAb29vAKpXr05KSopi/eLSTCoKR8dmBARsxdq6hqI8I2MH58/3tfgUpKVJq00iJ+fkTSUqnJ0jyqw+hXoWCbh/jMtFJ6OVlMipazou5934OtGoobXMLimEEEIAFg64AwMDsbGx4cSJE6ay48eP06BBA6ytldktO3fuZPr06VhbW+Pu7o7RaOTAgQP897//BeDRRx/l+PHjpvUTExO5cuUKjz76qGUaUwrs7RsSGLgdW1t/RXlW1m9ERfVAq00um4o9YJmZ+xWP7e2bYG1dtYxqc0NrbztcbG/MMJmca+C3xFunKIkbio5OEuFlh8O9JMALIYQQDyGLnhE1Gg1dunThk08+4Z9//mH//v0sX76c/v37AwU3Veb+f2Kvv78/GzduZOfOncTHxzN16lRycnLo1q0bAH379mXHjh1s3LiRc+fOERkZScuWLfH19bVkkx44Ozt/AgO3o9E0VJTn5BwnKqoz+fnle9jDkiiaTlJWo5MUZatW0aVIGsQPklZSItsvKvdTJx/7W6wphBBCVD4W74IaO3YsQUFBvPzyy3z00UcMGzaM9u3bA9ClSxd2794NFPSGv/POO8ybN4/Bgwdz9epVvvjiC+ztC07kjRs35p133mHx4sW88MILODk5MWnSJEs3p1TY2NQgIGALDg7NFeV5eVGcPduZ3NyKe2e00WgkM3Ofoqys87dv1qu2MlD8IS4HvaSV3NbVHD1/XtUqymR2SSGEEOIGi08Bp9FoiIyMLHZWyMOHDysed+3ala5du95yW926dTP1eD9srK2rUK/eRmJihih6hLXaeKKiOlO37locHILLroL3KC8vCq02wfRYpdLg6PhYGdZIqY23BmcbFZnagiA7KcfAwaR8Hq8h+ci3siNeObtkk2o2eDtafsZQIYQQorySJMtyTK12pE6d73Fz66ko1+mSiYrqQVbWgTKq2b0r2rvt5NQSK6vy0xtqp1aZTdayUdJKimU0GvkhNoePjmYqymV0EiGEEEJJAu5yzsrKDn//xVSr9rSi3GDI4Ny5vqSn7yijmt0b8+EAy0f+9s16+hcZrSQ2B8NDPvPn3TqZqqXH9mSe2ZtKfLZesUxmlxRCCCGUJOCuAFQqNT4+s/HwGK0oNxpziY4eTGrq2jKq2d0xGrVkZv6qKCsPwwEW9URNDU7WN0YruZJj4HCSjFYCkJKrZ/zvaYT/kMQvV8z3SUh1W5pUq1gTNQkhhBClTQLuCkKlUuHtPRkvr/eKLNERFzecq1e/LpN63Y3s7L8wGG6kH1hbu2NvX/6GcbS3Vpnd9FfZ00q0BiNfnsriP+sS+fp0NkXvI1WroL+XlrUdqqFSqYrfiBBCCFFJScBdgahUKmrUGIePz0zg5qDGSHz8eK5cmYGxHKc+FDc6iUpVPt+C5mkluZU2rWRPQi6tNibx1qF00vPN98ET3nYc6OXBhLpaXGzL5/EUQgghypLFRykR98/d/XnUaldiY0cAOlP55csfoNen4e09pVz2Mpbn4QCLalfLDgdrFdd1BQFmwnU9f13V0tzDtoxrZjnn03W880c6O4pMalOojrOaaY+50rGWBpVKRdRVC1dQCCGEqCCkO6qCqlKlL3XqrESlUqY+JCXN5cKF0RiNuls8s2zo9RlkZ/+hKCvPAbeDtRUda1XOtJL0fAPv/pFO6MbEYoNtZxsVU5q58HtvTzr52JfLH3dCCCFEeSIBdwXm6tqBevXWY2XloihPTV1OTMxQDIa8MqqZuaysX4Ebo1nY2QVga1ur7CpUAkXTSjbF5pTrlJ37pTcYWXY2m2brEplzMgutQblcBTwd4MBffT0Z3cgZO7UE2kIIIURJSMBdwTk5tSQg4Eesrd0V5enpPxIdPQC9PquMaqZUkdJJCrWvZYf9TUFlfLaeI8na2zyj4vo9MY8nNl/l1QNpXM01mC0P9bBlb/fqzGlVBQ97mdRGCCGEuBsScD8EHByaEBCwHRsbZY9xZuZezp3rjU53rYxqdkNGxj7F44oQcDvaWNG+lnKGyU0PWVrJxSwdL+xLpfPWZI6nmP+YqOmg5uuIKmzr4k6we+XJXxdCCCEeJAm4HxIaTT0CA7djZxegKL9+/Q+iorqi1V4po5pBfn4CeXlnbypR4+zcqszqczce1rSS6zoDHx3NIGR9EutizH9EaNTwZrAzf/T1oG8dB8nTFkIIIe6DBNwPEVvbWgQEbMPevomiPDf3FGfPdiIvL7ZM6lU0ncTRsRlqtWuZ1OVudfDRoLkpgyIuS19sT3BFYTQaWR99nZD1SXx0LJMcvfmPhz617fmjjydvN3XBwVq+IoQQQoj7JWfTh4yNjTsBAT/i5NRSUZ6fH8vZs53IyTll8TpVxPztQs42VrStqRytpKKmlRxLzqfLtmSe//ma2XTsAI2r2rC1szuLW1fFx0lGDBVCCCEeFAm4H0JqtQt1667DxaWjolynu0JUVBeys/+0WF2MRkOFDrjBPK1kYwVLK0nK0fPqgWu0+fEqvyeaT8deXWPF7Mfd2Nu9Oi1r2BWzBSGEEELcDwm4H1JWVvbUqbOcKlX6Kcr1+jTOnetpdhNjacnJ+Qed7saMKFZWzjg6NrPIaz8onXw03DyBYkymnr9Ty39aSb7eyJy/M2m2LpFlZ69T9CeCjRWMftSJP/t68kygI2orydMWQgghSoME3A8xlcoGP78vcXcfrig3GLKJju5HWtoPpV6Hor3bTk6Po1LZlPrrPkgutlY8USSt5IfY4mdfLA+MRiPbL+bQYmMi7/6ZQYbWvDe+o4+G33t5MKW5K64yHbsQQghRquRM+5BTqayoVesTatR4XVFuNOYTE/McKSnLS/X1iwbcLi5tSvX1SktFSSs5k6blyV0pDNidyvkM8zztQFdr1ravxqp21ajnWrF++AghhBAVldwZVQmoVCq8vCaiVruRkDDxpiUGLlx4Bb0+HQ+PUQ/8dQ2GXLKyflOUVbT87UKdfTTYWGGaffFcho5T13Q8UrV8BK1peQY+OpbBwn+zKWbgEVxsVbwd7MKwIEdsJHVECCGEsCgJuCsRD49RqNWuXLjwKnBjNsGEhInodNfw8pr4QMdbzs4+hNF4Y0QPGxtv7OwCH9j2LcnNzoo23nbsjM8zlW2KyynzgFtvMLL07HU+OJJBap75DJFWKngu0JF3/uOMu0ZmiBRCCCHKgqSUVDLVqg2hdu2lqFTKWQMTE2cQH/8GRqN50HavMjN/Vjx2dm5doSdQMZsEp5gJYyxp/+U8wn9IYtzvacUG261q2PJzDw9mtnSTYFsIIYQoQxJwV0Jubt2pW3cNVlaOivLk5IXExY3AaHwwI3BkZu5VPHZ2rpj524W6+NpjfdPvhTPpOk6nWX60kthMHc/8lEKP7cn8c01nttzXSc3SNlX5sZM7jcpJyosQQghRmUnAXUk5O0dQr94m1Go3Rfm1a2uIjh6CwXB/vbc6XSrXrx8ze82KrIqdFRHeynGqN1qwlztLa+CDvzJ4bEMiP8SZj5LiYK3if/9x4VBvT3r621foqwlCCCHEw0QC7krM0bEZAQFbsbauoSjPyNjB+fN90evT73nbmZn74aaRnzWaR7Cx8bjn7ZUXRdNKfrDArJMGo5FV56/TfH0iM05kkmc++Aj969rzZx9PJjRxxt5aAm0hhBCiPJGAu5Kzt29IYOB2bG39FeVZWb8RFdUDrTb5nrb7sAwHWFRXXw3qm+LZU2k6zpZiWslfV/PpuOUqI/Zf4/J18zzt/7rbsKtrdb4Kr4q3o+RpCyGEEOWRBNwCOzt/AgO3o9E0VJTn5BwnKqoz+fkX73qbD1v+dqFqGjVhXsq0kk2l0Mt9+bqel/an0nbzVf64ah7Qe9pbMT+sCru6Vae5h20xWxBCCCFEeSEBtwDAxqYGAQFbcHBorijPy4vi7NnO5OZGlXhbBkM8+flxpscqlS1OTi0eWF3LWq+io5UUk099r3J1RmaeKJiO/fvz5oG8rRWMbVQwHfvAeg5YSZ62EEIIUe5JwC1MrK2rUK/eRrPeaK02nqiozmY3Qd6KXn9I8djR8TGsrBweVDXLXFdfDTfPHXMyVcv5dPPRQu6G0Wjkx7gcHtuQyOS/MsjWmc9e09VXw6Henkxq5oqzjXx0hRBCiIpCztpCQa12pE6d73Fz66ko1+mSiYrqQVbWgTtuQ6c7rHj8sKSTFKpur6ZVjSJpJXH3nlbyT6qWnjtSePqnVOKyzO+IDHKzZmPHaqxoW43aLjJXlRBCCFHRSMAtzFhZ2eHvv5hq1Z5WlBsMGZw715f09B23fK7RqEev/1NRVlGnc7+dnv4axeN7yeNOzdUz4fc0wn5IYv/lPLPlVexUzAh15ZeeHrT21hSzBSGEEEJUBBJwi2KpVGp8fGbj4TFaUW405hIdPZjU1LXFPq8g7STD9FitdsPBoUkp1rRsdPO15+bs6eMpWmIzS5ZWojUY+epUFv9Zl8ii09kYimSPqFXwYpAjR/rWYFiQE9ZWkqcthBBCVGRyfVrckkqlwtt7Mmp1FS5fnnzTEh1xccPR69OpXv0FxXPMRyeJQKV6+Iar83RQ07KGLQeu5JvKNsXm0OUOHdF7E3J5+3A6p9OKD85be9vxYYgrQVVkhkghhBDiYSE93OK2VCoVNWqMw8dnJij6dI3Ex4/nypUZGI03umiLjr/9sOVv36ynX5HRSm6TVhKdoWPg7hR670wpNtiu7axmZduqbOhQTYJtIYQQ4iEjAbcoEXf35/H3X0TRiyKXL3/ApUvvYjQa0euzyc5WjlDyMOZvF+rur0wrOZKs5VKuMv0jI9/ApD/SeWxDItsumg8f6GSt4v1mLhzs7UkXX5mOXQghhHgYWTylJD8/nxkzZrBnzx5sbGwYNGgQzzzzTLHrHj16lFmzZhEbG4uPjw+jR48mNDQUAIPBQEREBHl5ypvN9uzZg7Ozc6m3ozKqUqUvVlbOxMQ8g9F4I3hMSpqLTpeGm1s3jMYbk7TY2vpjZ+dfBjW1DC8HNaGetvyeeCOt5KdkNREUTMe+Iuo6U45kkJRjPkMkwOAAB977jwueDg9fyo0QQghRmgyGPOLj3yAtbSMqlR0eHqPw9BxT7LrXr//NxYvjyMk5iUYTiI/PLBwd/2PR+lo84J49ezYnTpxg7ty5JCUlERkZSY0aNejQoYNivdTUVMaPH8+zzz5L27Zt2bVrF6+//jqrV6/Gy8uLhIQE8vPz2bRpEzY2Ny7BOzk5WbpJlYqrawfq1VvP+fMDMBhu3ByZmrqc9PQfFes+zOkkhXr42SsC7j0pajon5vHWoXSOpRQ/5XtIdVs+esyV/1SXGSKFEEKIe3Hp0rtkZx+mXr1N5OcnEBf3Era2tahSpa9iPb0+m/Pnn6JKld74+c0lOXkJ0dH9aNjwKGq15TpoLZpSkpOTw6ZNmxg3bhxBQUFEREQwZMgQ1qxZY7bu8ePHAXj22WepVasWQ4cOxc7OjpMnTwIQExNDjRo18PLywt3d3fQnl+RLn5NTSwICfsTa2l1RrtenKx67uLS2YK3KRo8is06ezFTTaWtyscG2t4MVC8OrsKOruwTbQgghxD3S67NJTl5GzZof4uAQjJtbVzw9X+Xq1YVm66alrUelsqZmzaloNPWpWfND1GoXrl3bYNE6WzTgjoqKIj8/nyZNbgwTFxwczKlTp9DplDeSubq6kpWVxe7duzEajezbt4/r169Tr149oCDg9vX1tWT1xU0cHJoQELAdG5tat1hDhZNTuEXrVBZqOqoJuUPwrFHD602c+aOPJ0/VdZAfhUIIIcR9yMk5idGYh5NTqKnM0TGU69ePYDQq48ns7D9xcgpFpSoIeVUqFY6Oj5GdrZykr7RZNOBOTk7GxcUFO7sbs/RVrVoVrVZLWlqaYt2mTZvy1FNPMXHiRFq2bMkbb7zBm2++Se3atQGIjo7m+vXrvPjii3Tu3JnXXnuNuLg4Szan0tNo6hEYuB07u0CzZQ4OTbG2rlIGtbK8Hv63Hguwt789h/t4MvE/LjjKdOxCCCHEfdPprqBWV8HK6sb518bGA6MxH50uWbGuVnsFG5saijJraw+02ksWqavpNS35Yrm5udjaKnsDCx/n5+crynNycrh06RLPP/88rVu35tChQ8ycOZM6derQqFEjYmNjycnJ4fXXX8fBwYGlS5cycuRIVq9efcs87qioqNJpWBm/Vlmztp6LVjsGg+FfU5lO91il2Qcd7aBjq1stvU7e5RQqx56oXO/7oipz26Fyt1/aXjlV5raD5dofEBBgVmYw5GBlZacoU6ns/n9Zntm6hcsKWVnZYjSaz/BcmiwacNva2poF1oWPNRplL+Hy5cvRarWMGDECgPr16xMdHc3ixYuZNWsWCxYswGAwYG9fkEM7ZcoUunfvzs8//0zXrl2Lff3iDlppiIqKsthrlRd6/Q7i498kLe0HVKqmBAVNUvzyfNgtPp3N5L/ScbHSM/4/VRkS4IC6ks0QWRnf94Uqc9uhcrdf2i5tr4zKuv0qlcYssC4MoK2sHBTlVlYas+DaYMg3W6+0WfQat4eHB5mZmWi1N24oS0lJwdbWFhcXF8W6p06dok6dOoqyoKAgLl0quARgZ2dnCrYLH3t7e3P16tVSbIG4FbXaBT+/+TRufBF7+1mVKtgGeL6BI9GDvFjXLJdn6ztWumBbCCGEsBQbGy/0+jQMhhuduFptIiqVnVk6q42NF1ptkqJMp0vE2trTInUtZNGAOzAwEBsbG06cOGEqO378OA0aNMDaWtnZ7u7uzrlz5xRlMTEx1KxZE51OR9euXdm5c6dp2fXr17l48SJ+fn6l2whxW4U3JVRGVnIzpBBCCFHqHBwaoVLZKibby84+iINDMCqVMp50dGxGdvYh06zYRqOR7OzDODo2t2idLRodaTQaunTpwieffMI///zD/v37Wb58Of379wcKbqrMzS2YUKV3794cPXqUZcuWkZCQwKZNm9i8eTMDBw7E2tqa0NBQ5s+fz5EjRzh//jzvvfce7u7uhIWFWbJJQgghhBDCgqysHKhadSDx8RPIzv6L9PStJCbOpXr1gjRkrTYRgyEHADe3nhgM2cTHv0FOzmkSEt5Br8+kSpU+lq2zRV8NGDt2LEFBQbz88st89NFHDBs2jPbt2wPQpUsXdu/eDcAjjzzCjBkz2L17N4MGDeL7779n8uTJNG9e8ItkwoQJtGzZkokTJzJ06FAAPv/8c7OeciGEEEII8XCpVWsqDg5NOXeuBxcujKNGjddNQfTJk/W5dm09UJDyWqfOarKzD3HmTATZ2YeoW3eNRSe9AVClpaUZLfqKlUBZ30xQ1ipz+6Xt0vbKqDK3X9ouba+MKnv770XlTbgVQgghhBDCAiTgFkIIIYQQohRJwC2EEEIIIUQpkoBbCCGEEEKIUiQBtxBCCCGEEKVIRikRQgghhBCiFEkPtxBCCCGEEKVIAm4hhBBCCCFKkQTcQgghhBBClCIJuIUQQgghhChFEnALIYQQQghRiiTgvgs7duwgJCSEFStWKMpfeukl5s+ff8vnhYSEcPjw4dKu3gOXmprKxx9/TLdu3QgLC+PJJ59k4cKF5ObmlnXVHoiQkBDFX/v27ZkyZQrZ2dml/tp//fUXISEh6HS6YpcvWLCA4cOHl3o9oGz3Q3l3p892RVWZjnl5/pyXNz179jTbX4V/+/bto2fPnmzcuPGWzy1cdv36dTZv3lzssgftXs/LpeH999/nvffeA8rvsd+4cSM9e/bk0qVLhISEcPHixbKuUqVhXdYVqEh27tyJj48PW7ZsYfDgwSV+3tatW3F1dS3Fmj14SUlJDB8+HG9vb95//328vLw4d+4c8+fP58CBA3z55ZdoNJqyruZ9mzZtGsHBwRgMBhITE/nwww/57LPPmDhxYpnWa8iQIfTv399ir1de94MoPZXpmFemtt6vMWPG0LFjR7NyFxcXZs2adcvnffPNN9jb2wOwYsUKDh8+TLdu3cyWPWj3el6u7Dw9Pdm6dStVqlQp66pUGtLDXUIZGRkcPHiQ4cOHc+7cOc6cOVPi57q7u2NjY1OKtXvwpk+fjoeHB3PmzOG///0v3t7ehIeHs2DBAq5evcrXX39d1lV8IFxcXHB3d8fDw4NGjRoxYMAAdu/eXdbVwsHBwaI/0srrfhClpzId88rU1vvl6OiIu7u72Z+tre1tn1elShVTJ4zRaLzlsgfpfs7LlZ1arcbd3R21Wl3WVak0JOAuoZ9++glbW1vatWuHr6+v4nIZQHJyMiNHjqRVq1Y8//zzXLhwwbTs5pSS5ORk3nrrLdq2bcvjjz/OkCFDOHLkiEXbciepqan88ssvPPvss1hbKy+CODs7M2DAAH744Qf0ej1fffUVXbt2NbX7xIkTQPGX026+3LZgwQImTpzI9OnTadOmDT169OCbb76xWBtvpeiv/ezsbD744AM6duxIy5YtefLJJ/npp59My4umC23evNnUqwNw5swZRowYQVhYGL169eKHH35QbH/jxo1069aN8PBwJk2aRF5eHmDZlJLiFN0PBoOBb7/9lt69exMWFsaIESM4e/asaXlISAhffvklHTp0YNSoUWzevJnhw4ezaNEiOnToQOfOnZk5cyYGg8H0nM2bN9O/f3/CwsJ45pln+OuvvyzWvrtV2J4lS5bQtm1bOnXqxPbt29m1axfdu3enbdu2zJs3z7R+Xl4ec+fONR3bcePGcfny5TJswZ0VPeZGo5Gvv/6arl270qZNG1599VWz77UtW7YwaNAgIiIiGDlyJPHx8cCdP/8A+/btMx3/p59+mt9//72UW3jD3XzOly5dana1ad26dQwaNAiArKwsIiMjadOmDZ06dWLatGm3TFdZu3YtvXr1olWrVgwaNIhffvnFtOzEiRMMHz6csLAwwsPDefXVV0lKSnqQzX6g/v33X1q3bs3q1auBG2kjmzdvZtGiRRw/fpyQkBDFsgftTuflQpcvX6ZLly58/vnnrFy5kiFDhpiW7du3j5CQEFOwrtfradu2LcePH0en0zF79my6detGixYt6NGjB2vXrr2rOq5du5YOHTrQvn17Fi9erFj2yy+/8PTTTxMWFka/fv0UPwJfeuklli5dyiuvvEJYWBhDhw4lPj6eqVOnEhERQd++fTl27Nhd1eVmRVNK0tLSeOONN4iIiKBXr16sW7fOdPzg1u/PtLQ0QkNDTecDo9FIu3bt+PTTT03PnT59OlOnTlW0uVWrVrRp04Z33nmHrKyse25HRSIBdwnt2LGDFi1aYG1tTXh4ODt27FCcTLZs2UKbNm1Yvnw5NWvWZPTo0cXmbk2aNAmdTseiRYv49ttv8fT05OOPP7ZkU+7o9OnTGAwGHnnkkWKXBwcHc+3aNVauXMmaNWuYPHkyq1atokGDBrz99tuKoOp29u7di1qt5ptvvqF3797MmzeP6OjoB9mUu5KWlsaqVavo1KmTqWzWrFnExsYyZ84cvv/+e5o2bcq0adPIz88v0fZGjRqFv78/y5cvZ+TIkXz88ceKL8k9e/bw2WefMWPGDPbt28emTZtKo2l3pbj9sGjRIlasWMHYsWNZtmwZ3t7ejBkzRhFY7N+/n4ULFzJu3DgA/vnnH2JiYliwYAEjR45k9erVHDx4ECgIYD/55BOeeeYZli9fzmOPPcZrr73GlStXLNvYu3Dq1CkuXLjAN998Q7t27fjwww9Zs2YNs2bN4uWXX+abb77h3LlzAHz00Ufs3buXyMhIFi9ejF6vZ/z48ej1+jJuRfGKO+arV69m69atREZGsmTJEnx8fBg1apTiHo5Fixbx2muvMX/+fFJSUhQ/Om7n7NmzREZG8uyzz/Ldd9/Rq1cv3njjDcWPuNJyt5/zDh06EBsby/nz503r7969mw4dOgAwZcoU0tPTWbBgAbNmzSIuLo7Jkyebve6ZM2eYOXMmY8eOZc2aNbRr14533nmHzMxMsrOzGTduHCEhIXz//ffMmTOHhIQElixZUur7414kJCQwduxYhgwZQr9+/RTL2rVrx+DBg3nkkUfYunVrqdbjTudlKDjeY8aMoUWLFowZM4bQ0FCioqJIT08H4MiRI6hUKo4fPw4U/JAAePTRR1m6dCn79+/nww8/ZO3atXTr1o1PP/2Uq1ev3lUd58yZw7vvvsuKFStMPzz++OMP3nzzTbp06cLy5cvp1asX7777Lv/884/puUuWLKFnz54sXbqUjIwMnn32WTw8PPjmm2/w9fVl5syZ97P7FP73v/+RmprKwoULef3111m0aJFp2e3en25ubjRo0MDUYRIVFUVmZqZpfxa2tWXLliQkJPDWW2/Rp08fVq9ezYcffsiff/7J+vXrH1g7yjMJuEvg6tWrHD16lIiICADatGlDWloaBw4cMK0TERFBv3798Pf356233iI9Pb3YHpuwsDBef/11ateuTZ06dXjyySeJiYkxuwRXljIyMoCC3uziuLi4AAU9AdbW1tSoUYOaNWsyatQoJk2aVOKA29nZmTFjxuDn58fQoUNxcXExfdlZyvjx44mIiCA8PJwOHTpw+vRpxQkkODiYt956i8DAQHx9fRkyZAgZGRkl+sLdtWsXDg4OvPHGG/j5+dGxY0fGjBmj2D+vv/469erVM92YFBUVVSrtvJPb7Qej0cjq1asZNmwY4eHh1K5dm4kTJ2Jtba04ofbq1Qs/Pz/q1q0LFLw/3n77bfz9/enRowcBAQGcOnUKgFWrVvHUU0/RtWtX/Pz8GDVqFAEBAabesvLIYDAwYcIEfHx86NWrFzk5Obz44ovUq1ePvn374uTkRGxsLBkZGWzbto3x48fTrFkz6tWrx+TJk4mPj7doL+6d3Om9/+233/LKK6/QvHlz/P39mTBhAmq1WnGFZ8CAAYSEhNCwYUP69u1rOr53smLFCrp3706XLl2oVasWffv2pX379qxateqBtxPu73Pu5eVF48aN2bNnDwApKSkcO3aM9u3bEx8fz759+4iMjCQgIICgoCAiIyPZu3cviYmJijpcunQJlUqFl5cXXl5ePPfcc0yfPh0bGxtycnJ47rnnGDZsGDVr1qRJkyY88cQTZdIBMWPGDCIiIhR/N1+1S0tL49VXX6VDhw4MGzbM7PkajQZ7e3usra1xd3cvtXqW5Lycl5fH+PHjqVOnDu+88w4AderUwcPDg6NHjwJw9OhRWrZsabo6e+jQIUJCQlCr1dStW5eJEyfSqFEjatasyXPPPYderycuLq7E9Zw4cSL169cnPDycAQMGmILLNWvW0Lp1awYOHIifnx+DBg3iiSee4NtvvzU9t0WLFrRv3546deoQFhaGo6Mjw4cPp3bt2vTo0YPY2Nj72oeF4uLiOHz4MO+++y6BgYE8/vjjiiusd3p/hoaGmgLuwv0ZFRVFTk4OiYmJXLx4kebNm6PX6xk3bhy9e/fG29ub0NBQQkJCyrSjzZLkpskS2LlzJ1ZWVjz++ONAwS/f6tWrs2XLFtOHvWHDhqb1HR0d8fX1JTY2lrCwMMW2+vbty86dOzlx4gRxcXGcPn0auBG8lgeFAXVKSgqenp5mywuDzebNm7Nz50769OlDw4YNCQsLo0ePHiVuh5eXlyJ/zNHR0eJ3dL/11ls0btwYgMzMTLZv384LL7zAkiVL8PPzo0uXLvz8889s3LiRuLg40w+CkvyoiImJITAwUNHGwpN84ZdTrVq1TMucnJxK1HNeGm63H5ycnMjIyODRRx81rW9tbU1QUJDiC9/Ly0uxTTc3N5ycnEyPbz6+sbGxPP/884r1GzVqRExMzINu2gPj6uqKo6MjAHZ2doCyzba2tmi1Wi5cuGB2hcjV1RU/Pz9iY2Np1aqVZSt+C7c75tWrVycpKYn33nsPK6sb/TL5+fmKtJKb37938/mNiYnh/PnzihQrnU6n+B59kO73c96xY0dWr17Niy++yJ49ewgKCqJmzZr88ssvGI1GevToYfaacXFxis9+ixYtaNKkCUOGDKFu3bqEhYXRs2dPNBoNGo2Gbt26sXLlSs6ePUtMTAxRUVGKz5ylDBs2jLZt2yrKbn4PLFq0CK1WS40aNSxdNYWSnJfXrl2LVqulX79+imPx2GOPceTIEZo1a0ZcXBwvv/wy06ZNA1Dc7Nm6dWsOHTrEZ599pjhfl7RTydbWlnr16pkeN2jQgOXLlwMF34E9e/ZUrN+4cWM2bNhgelyzZk3T/3Z2dop9rtFo0Gq1JarHnZw7dw5HR0f8/PxMZY0aNTL97+7uftv3Z2hoKGvXrsVgMHDkyBHatWvH+fPn+fvvv0lMTKRx48Y4OTnh5OSEra0tixcvJjo62vRXeLXoYVc+IrxybufOneh0Otq3b28qMxgM/Prrr6SlpQGgUqkUzzEYDGY3ShoMBl555RUyMjJo3749YWFhaLVa3nzzzVJvw91o2LAharWaf//9t9iA+9SpU7i5uVG/fn2WLVvGH3/8wYEDB9iwYQNr165l6dKlZvsDMLucXtyNpJbu6a9evTo+Pj6mxw0bNuS3335j06ZNvPrqq0RGRnL8+HG6dOlCnz59cHd354UXXrjl9m4OOEryw+PmExlYvv2FbrcfigbGhQwGg+KYFgahhW53fIuuW7i9kp7IykJxx7O49/mtbi7T6/XlKqXkdsd86NChAEydOpXatWsrnnfzla9b3Qx+p8+/Xq9n8ODBdO/eXbHOnW7Mu1f3+zkvzEk9f/48e/bsMY3iodfrsbe3NwVRN3N3d1f0+Gs0Gr744guOHTvGr7/+yk8//cSaNWtYsGABrq6uPPvss9SvX5/Q0FB69erFgQMHFJflLcXNzU2xr4oKCQmhVatWzJkzh/bt21O9enUL1u6GkpyX69aty9ChQ3n77bfp3r07gYGBQEGAuGTJEo4ePUpQUBBNmzYlJSWF6OhoTp48yQcffADA/Pnz2bBhA927d6dz58688cYbZkHy7RQXFxR+jxT3Xtfr9YrvwKI3NBY9X5RESkoKWVlZimC66HaLu3Hy5nNRUlLSbd+fjz76KAaDgaioKI4ePcqrr75KcHAwJ06cIDY2lhYtWgAFqWSFeeDBwcEMGjSI77777q7bVFFJSskdXLhwgX///ZexY8eyfPly09/MmTPR6XTs2LEDQJHfl5mZyYULF/D391dsKyYmhqNHjzJnzhyef/55WrVqRUpKiiWbUyJubm60bduWRYsWmfVYZWVlsXLlSrp3787BgwfZsGEDLVq0YMKECaxZs4br169z7Ngx05fKzTm+CQkJFm3HvTIajeh0OrKystixYwdTpkxhxIgRtGnTxpRuU/hlZGNjo2jjpUuXTP/7+voSFRWl+AKdMmUKX331lYVacn8K94OTkxPu7u6cPHnStEyn03H69GnFl/jd8PPzU2wP4OTJk/e8vfLEx8cHtVqtyMVMS0vj4sWL5b59hcfc2dmZqlWrkpycjI+PDz4+Pnh7ezNv3rwS5Vnf6fPv5+fHpUuXTNv28fFh27Zt7Nu374G36Vbu5nPu5uZGSEgI27Zt4+TJk6YeYD8/P3JycjAYDKZ2AHz22WdmN06eOHGCxYsX07RpU0aPHs3q1aupWrUqv/32G/v27cPR0ZHPPvuMAQMG0LRpUxISEspVqmGh8PBwevXqha+vL59//nmx6xT3g+tBKul5OTQ0lNatWxMWFsbHH39s2p+FaQw///wzwcHBaDQaGjRowOLFi/H39zf9iFi/fj3jx49n9OjRdOjQgZycHKDkHSN5eXmmG4mh4L6WwrjA399f8R0B8Pfff+Pr63tf+6ao5cuXK25gzMrKws3NTbFO7dq1yc7OVly9KuzNB+74/rS2tqZZs2asW7cOW1tbatasSXBwMEePHuXw4cO0bNkSgG3bttG4cWM++OADnnzySRo2bMjFixfL5fu8NEjAfQc7d+7E2dmZPn36ULduXdPf448/TuPGjdmyZQtQkK+7YcMGoqOjmTJlCrVq1VLc4QsFKQNWVlbs2rWLy5cvs2fPHhYsWABQZqkEt/Laa6+Rk5PD6NGjOXLkCFeuXOG3335jxIgReHp6Mnz4cIxGI7Nnz2bPnj1cunSJHTt2kJeXR2BgIHXq1MHOzo6FCxeSkJDAihUrLHJD1N3KyMggOTmZ5ORkEhIS+PLLL4mPj6ddu3amXMR9+/Zx6dIlDh48yPTp0wFMl/IaNmzIypUruXDhAr/88oviLvlOnTpx/fp1041UO3bsMN3kU97cbj8ADB48mEWLFrF//35iY2OZNm0aubm593wpcPDgwaxdu5YtW7YQFxfHF198wdmzZ++q96i8sre3p0+fPnz66af8+eefnDt3jsjISDw8PMrVsb/TMR84cCBfffUV+/bt4+LFi3zyySccPnzYrMe7OHf6/A8cOJA9e/awcuVKLl68yLp161iyZIniErql2lqSzzkUpJWsWrWK4OBgU25y7dq1adGiBZMmTeLkyZOmm0FTU1PN8pc1Gg2LFi1i/fr1XLp0if3795OUlERQUBCurq5cvXqVQ4cOkZCQwNKlS9m7d2+ZnBeys7NN++rmv5t/QFhZWTF+/Hh27dpV7KRuDg4Opn1dGkp6Xi40ZswYzp49y48//ggUpE0GBQWxbds2goODAWjatCm7du1SfEZdXV359ddfSUhI4Pjx40RGRgIlP19bWVnx/vvvc+bMGfbs2cPq1atNY4UPGjSIvXv38t1333HhwgW+++479u3bx1NPPXWfe0epadOmHD16lEOHDvHPP/+wfv16s9jEz8+P0NBQpk6dytmzZzl8+LApNgFK9P4MDQ1ly5Ytiv35559/olarCQgIMG2n8CrChQsX+Oyzzzh16tQDS40p7ySl5A527txJx44di70E3rdvXyZNmoSrqysDBgzgxx9/5NNPP6VRo0ZMnz7d7PKPp6cnb775Jl9//TXz58/Hz8+P8ePHmz6QTZs2tVSz7sjd3Z2vv/6aJUuW8P7775OamoqnpycdO3bk6aefRqPREBYWxksvvcTs2bNJTk6mVq1afPDBB6ZevIkTJzJv3jw2bdpE69at6d+/f7kb5qrwRhooSHMICAjgo48+MuV7vv/++3z++eesWbMGb29vhg4dysKFCzlz5gx169ZlwoQJTJ06lYEDB9KgQQNGjBjBwoULgYIfWLNmzWLmzJls2LABT09P/ve//9G4ceNyNwTenfbDwIEDyc7O5sMPPyQrK4tGjRrx1VdfUa1atXt6vSeeeILk5GQWLFhASkoKgYGBzJkzx3TDZUU3evRooCB3WKfT0bx5c+bNm1fs90hZudMxHzJkCLm5uUyfPp2MjAzq16/P7NmzS5RC4OTkdNvPf6NGjZg8eTKLFi3iiy++wMvLi3fffbfU8tvv93MOBfm806ZNM/uR+f777/Ppp58yevRoVCoVISEhTJgwwawOgYGBTJo0icWLFzNz5kzc3d0ZM2YMISEh6PV6jh49aqpnw4YNGTt2LPPnzyc3N9eik4x9/vnnxfZcF51UpnHjxnTq1IkZM2aYzfLYpk0b1q9fz4ABA0pl5KWSnpebNGkCFORCDx48mLlz5xIREYGrqyuhoaH8+++/pvdA06ZN+fbbbxUB97vvvsvHH3/MgAEDcHd3p1evXlhbW3P27Fmz+7OK4+zsTHh4OC+//DI2NjYMHz6cJ554Aig4xlOmTGHBggXMnTsXPz8/pk2bxmOPPfYgdpFJeHg4gwcPJjIyktzcXNq0acNzzz1HamqqYr333nuPqVOn8sILL5hytgtv4GzXrt0d35+hoaFotVpTwF27dm3c3NwIDQ01XfHo378/Z86cYfTo0djY2NC0aVOGDRvG9u3bH2ibyytVWlpa5ejLF0IIIe7R5cuX6devH1u3br3lCE5CVES5ubmm1I/CdLDdu3czZ86ccjFU7cNCeriFEEKIW8jJyeG3337jxx9/pE2bNhJsi4eOra0tU6ZMoU+fPvTo0YOUlBQWLVpkNlqNuD/Swy2EEELcQm5uLl27dqVGjRrMmjULDw+Psq6SEA/csWPHmD17NlFRUTg6OtK5c2dGjhxZaiMHVUYScAshhBBCCFGKZJQSIYQQQgghSpEE3EIIIYQQQpQiCbiFEEIIIYQoRRJwCyGEEEIIUYok4BZCCCGEEKIU/R8Iq2WQfTtG2wAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#2-axis plotting to establish relationship between overal CCVI index and Acute IHR Index.\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Acute IHR'])\n", + "ax1.set_ylabel('Acute IHR')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'y-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='y')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('y')" + ] + }, + { + "cell_type": "markdown", + "id": "ceca7d9a", + "metadata": {}, + "source": [ + "Inverse correlation between Overall CCVI index and Acute IHR were observed in all top 10 states. Abia, Osun, Imo and Ekiti states had lower Overall CCVI index with relatively higher Acute IHR. Abia had the highest Acute IHR index and Jigawa the lowest. Borno and Jigawa had the highest Overall CCVI index. Bauchi, Borno, Benue and Jigawa Sates have the higher Overall CCVI index with correspondingly lower Acute IHR index. Borno and Jigawa had the highest Overall CCVI index. Thses observation suggests that the impact of covid crisis cannot be traced to Acute IHR alone. " + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "id": "e2b86b77", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#2-axis plotting to establish relationship between overal CCVI index and Fragility index.\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Fragility'])\n", + "ax1.set_ylabel('Fragility')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'b-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='b')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('b')\n" + ] + }, + { + "cell_type": "markdown", + "id": "1a6aaf93", + "metadata": {}, + "source": [ + "Inverse correlation is observed between Fragility index and Overall CCVI index in almost all the top 10 states being considered here. While Osun, Benue and Ekiti all had lower Overall CCVI index with a correspondingly higher Fragility index, Abia, Bauchi, Imo, Bayelsa, Akwa Ibom and Jigawa states all had higher Overall CCVI index with correspondingly lower Fragility index. Only Borno showed equal Fragility and Overall CCVI indices. It is therefore inferable that Fragility alone can be responsible for the recorded impact of the covid crisis in Borno. This is however not applicable to other members of the top 10 states where Fragility alone may not be responsible for the recorded impact of covid crisis." + ] + }, + { + "cell_type": "markdown", + "id": "8d262114", + "metadata": {}, + "source": [ + "TODO I - Determine the relationship between the external dataset and the NCDC COVID-19 dataset.\n", + "\n", + ">Here you will generate a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", + ">Provide a summary of your observation" + ] + }, + { + "cell_type": "markdown", + "id": "1b05f7bd", + "metadata": {}, + "source": [ + "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset.\n", + "\n", + "#Generating a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", + "\n", + "#Also will Provide a summary of observation" + ] + }, + { + "cell_type": "code", + "execution_count": 355, + "id": "79236f5a", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Regression plot between Confirmed cases population density of top 10 states.\n", + "# regplot\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=Top10_NCDC_external).set_title('Confirmed Cases and Population Density')" + ] + }, + { + "cell_type": "markdown", + "id": "eaf3d582", + "metadata": {}, + "source": [ + "For the top ten (10) highest confirmed cases, it is generally observed that there is higher uniformity in distribution of confirmed cases across most population densities in states in Nigeria. However, a few outliers (exception to this case) exists: There are five occurences which are above the common distribution value across states and there are five occurences which are below the common distribution value in states of various population densities. " + ] + }, + { + "cell_type": "code", + "execution_count": 430, + "id": "6faecbce", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Regression Plot for Lab confirmed cases vs population density for all states\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=NCDC_external).set_title('Confirmed Cases and Population Density')" + ] + }, + { + "cell_type": "markdown", + "id": "2e596b41", + "metadata": {}, + "source": [ + "The general trend indicates that higher record of Lab confirmed cases is associated with higher population densities across all states. There are also many outlier cases that does not align with this trend i.e does not show that higher or lower confirmed cases connected with higher or lower pouplation densities." + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "96eb987a", + "metadata": {}, + "outputs": [], + "source": [ + "# Further analysis on other indicators: Recovery rate\n", + "JH_Daily_Recovery_Nigeriadf['Recovery Rate'] = JH_Daily_Recovery_Nigeriadf['Recovered Cases'].diff()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "a243f893", + "metadata": {}, + "outputs": [], + "source": [ + "# Further analysis on other indicators: Death rate\n", + "JH_Daily_DeathsNigeriadf['Death Rate'] = JH_Daily_DeathsNigeriadf['Death Cases'].diff()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "cb091148", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Recovery Rate in Nigeria')" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Further analysis on other indicators: lineplot of Recovery rate \n", + "plt.figure(figsize = (20,10))\n", + "sns.lineplot(x = 'Date', y = 'Recovery Rate', data = JH_Daily_Recovery_Nigeriadf).set_title('Daily Recovery Rate in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "544b3271", + "metadata": {}, + "source": [ + "The highest recorded rate of recovery of 11188.0 was made on 2020-08-04 while the lowest was -165208.0 on 2021-08-05." + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "d727aa53", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "11188.0" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Highest recovery rate\n", + "Highest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].max()\n", + "Highest_recovery_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "id": "dc8e69c8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateRecovered CasesRecovery Rate
1952020-08-043185111188.0
\n", + "
" + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "195 2020-08-04 31851 11188.0" + ] + }, + "execution_count": 141, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == 11188.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "e315403a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-165208.0" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lowest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].min()\n", + "Lowest_recovery_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "id": "f911ea90", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateRecovered CasesRecovery Rate
5612021-08-050-165208.0
\n", + "
" + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "561 2021-08-05 0 -165208.0" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "\n", + "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == -165208.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "a02231ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Death Rate in Nigeria')" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Further analysis on other indicators: Seaborn's lineplot Death rate\n", + "plt.figure(figsize = (15,5))\n", + "sns.lineplot(x = 'Date', y = 'Death Rate', data = JH_Daily_DeathsNigeriadf).set_title('Daily Death Rate in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "73b25263", + "metadata": {}, + "source": [ + "There was a spike in the death rate in Nigeria on 2021-08-29 with a record high of 93.0. The reason may be because that relaxed perventive measures with apparent ease of local restrictions. The lowest death rate of -4.0 was recorded on 2022-06-10 perhaps due to the success at global control the corona virus, especially in year 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "id": "c4596cbc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "93.0" + ] + }, + "execution_count": 145, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Highest_death_rate = JH_Daily_DeathsNigeriadf['Death Rate'].max()\n", + "Highest_death_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "id": "34e9077c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath CasesDeath Rate
5852021-08-29245493.0
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" + ], + "text/plain": [ + " Date Death Cases Death Rate\n", + "585 2021-08-29 2454 93.0" + ] + }, + "execution_count": 146, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] == 93.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "421c5844", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-4.0" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lowest_death_rate=JH_Daily_DeathsNigeriadf['Death Rate'].min()\n", + "Lowest_death_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "id": "e79bfc0f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath CasesDeath Rate
8702022-06-103144-4.0
\n", + "
" + ], + "text/plain": [ + " Date Death Cases Death Rate\n", + "870 2022-06-10 3144 -4.0" + ] + }, + "execution_count": 148, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] ==-4.0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55dfb36f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 150, + "id": "0d3d5777", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Regression\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=NCDC_external[\"Age\"], y=NCDC_external[\"No. of Cases (Lab Confirmed)\"], data=NCDC_external).set_title('Age and infection Pattern in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "143c42d6", + "metadata": {}, + "source": [ + "The above plot displays the association between number of confirmed cases and age of populations. Though it can be infered from the regression trend that susceptibility to the covid infections are generally associated with elderly group in populations, many outliers indicates that many other age categories also were captured in high and low number of recorded lab confirmed cases." + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "id": "75ed56aa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Age\", y=\"No. of Deaths\", data=NCDC_external).set_title('Age and Mortality in States in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "5baf5607", + "metadata": {}, + "source": [ + "Apparently, the number of deaths tends to be more in the younger population because they are more in the overall population compared to the elderly group. The trendline of the regression does however indicate that the number of deaths recorded among the elderly group is still significant because they are less in population compared to the younger populace. " + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "id": "6110820e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Bar plot for Mortality and Health Systems\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.barplot(x=\"Health System\", y=\"No. of Deaths\", data=NCDC_external).set_title('Mortality and Health System')" + ] + }, + { + "cell_type": "markdown", + "id": "bc686c82", + "metadata": {}, + "source": [ + "From the bar plots above, it is not clear whether health systems in states in Nigeria had any significant influence on the number of deaths recorded during the covid crisis." + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "id": "a0805c69", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Bar plot for Discharged cases and Health Systems\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.barplot(x=\"Health System\", y=\"No. Discharged\", data=NCDC_external).set_title('Discharged Cases and Health System')" + ] + }, + { + "cell_type": "markdown", + "id": "70262c2a", + "metadata": {}, + "source": [ + "Health systems of a country may influence the overall health impact of coroner virus. Higher system indices show that health crisis mangagemnt are more effective and therefore there are chances that there will be higher number of discharged cases.\n", + "So far from the barplot, it is inconclusive to say that the health system of Nigeria influenced the number of covid discharged cases in Nigeria. This is further highlighted by the large error bars which indicates higher measure of dispersion from any possible trend." + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "id": "76e60106", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Health System in States')" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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oKEtb7dq1cXR0ZPLkyVy7du2OZ5edOXOGJUuW3LFH68KFC6Snp2d53tPtIPr3zfoNGjQAYNSoUVmOJyUlMWLECGbNmnXX5b7coF69eri6uvLNN9+wZMmSO/5eb9y4wfjx4wGy/Ebo7XH6+x6ye/33tWHDBn766Scg639fd7vG7UdVjB8/PsvvZV67do2RI0cyd+5cUlNTgUf7exV5nLTUKGLFSpQoQc+ePRk7dixhYWFUq1YNV1dXfv75Z44fP84LL7xAkyZNgFvPwSpUqBBffvklp0+fpmTJksTHx7N582bzZuwrV67c935PPfUUZ8+e5aOPPqJChQrmwPRf1atXj2PHjjF37lxatWrFCy+8QOnSpc0zYdu3b8fR0ZEJEybcsU/KxcWFGjVqsHr1ap588kn+97//ZWl//fXXWbZsGZ9//jm7du3Cz8+PpKQk1q9fT758+Wjfvr353NsP+Bw2bBgVKlSgffv2NGjQgJ9++okNGzYQFhZG5cqVgVtLa5cvX6ZNmzbmmcfcxsXFhTFjxtC7d29GjBjBvHnzePHFF3F1deXSpUts376dixcv0rp16yzPUbsdambNmsWJEydo0aIF9evXZ82aNfTr14+QkBAKFizIkSNH+OWXX3jiiSe4fPlylv++bo/1pEmTqFSpEh07duT555/nzTffZP78+bRo0YKqVavi6OjIjz/+yLlz5wgNDTU/M+1R/l5FHicFLxEr16JFC0qWLMm8efPYtGkTaWlpFC9enG7dutGyZUvzXpkiRYrwxRdf8MUXX7B792527NiBh4cHr7/+Ou3ataNt27bs2rWLtLS0LI9N+Lv33nuPoUOHsnHjRo4cOfLYghdAjx49CA4OZtmyZfz666/s37+fjIwMPDw8aNasGa1bt87yuIq/q1OnDqtXryY0NBQ7O7ssbYUKFWLq1KnMmjWLn3/+md27d+Pk5MRLL71E+/bts3xT75133uHUqVP88ssvHDx4kDfffBMnJyeGDRvG4sWLWbFiBd9++y2Ojo74+PjQu3fvLI+NyI2ee+45Fi9ezFdffcX27dtZv349f/31F66urpQvX56mTZuaw+ZttWvXZtu2bfz4448sWrSIl156iSpVqjBs2DC+/PJLVq9ejaOjI56enoSHh1OtWjWaNGnC9u3bzf/NNGvWjP3797Nr1y5OnjxJw4YN8fb2pmfPnjzzzDMsXryY1atXY2Njg5eXF61bt6Zx48bmJcpH+XsVeZxskpKSjNmUISKSQ9x+2vn8+fMpXbq00eWISB6mPV4iYtUSExP55ptvKF++vEKXiGQ7LTWKiFVavXo1c+bM4ezZs6SmpjJgwACjSxIRK6DgJSJWqWjRopw/f54CBQrw3nvvUaVKFaNLEhEroD1eIiIiIhaiPV4iIiIiFqLgJSIiImIh2uOVA22L22Z0CY/M09UT78L3/62/nMxkMuHn52d0GVZJY28sjb9xNPbGMmr8FbxyoLDZYUaX8Mhi28Tm6uAlIiJiCVpqFBEREbEQBS8RERERC7Ga4BUYGMiOHTuMLkNERESsmNUELxERERGjKXiJiIiIWIi+1fj/LV++nDlz5vDbb7/h7OxM7dq1ef/997G3vzVE8+fPZ968efz11180aNCAEydO0KBBAxo2bEhGRgbz5s1jyZIlJCYm4u/vT0REBGXKlAFg/fr1REVFER8fj4eHB23btuXVV181srsiIiJiAM14AXv37mXUqFF07dqVr7/+mr59+7JixQo2btwIwPfff09UVBQ9e/YkOjqahIQEdu/ebf58dHQ08+bNo1evXnz55Zd4enoSHh5OSkoKly9f5qOPPiIsLIxFixbRtm1bPvvsM06dOmVQb0VERMQoCl6Ao6MjAwYMoGbNmhQrVozatWtTpkwZ4uLiAFi0aBHNmzcnJCSEUqVK8cknn+Do6AhAZmYmCxcupEOHDlSrVg1fX18GDBiAvb09q1at4uLFi6SlpVGkSBGKFSvGq6++yqRJkyhcuLCRXRYREREDaKkRKFeuHI6OjkRFRXHy5EmOHz/O2bNneemllwA4fvw4rVu3Np9fqFAhvL1vPSz08uXLXL16lfLly5vb7e3tKVeuHKdOnaJZs2aEhobSq1cvSpQoQdWqVWnYsCGFChWybCdFRETEcJrxArZt28bbb79NYmIilStXZsSIEQQEBJjb7ezs7vhMZmYmgHnm658yMjJIT0/HxsaGoUOH8uWXX1KvXj327NnDO++8w/bt27OnMyIiIpJjKXgBy5Yto0GDBvTv35/GjRvj4+NDfHy8OVw9/fTTHD582Hx+cnIyv/32GwAuLi64u7tz4MABc3taWhpHjhzB29ubU6dOERkZyTPPPEOnTp2YM2cOFStWZNOmTRbto4iIiBjPqpYaDx8+THp6epZjFSpUwNXVlf3792MymbC1tWX27NkkJiZy8+ZNAJo3b87w4cN55pln8PX1JSoqir/++st8jVatWhEdHU3RokUpWbIkX375JdeuXaNu3bpkZmbyzTff4OzsTIMGDUhISOD48eOEhIRYtO8iIiJiPKsKXl988cUdx2bNmkXHjh0ZPHgw7du3x9nZmSpVqvDGG29w9OhRAOrWrcvZs2cZOXIkN27c4LXXXsPT0xMHBwcAwsLCSElJYfjw4SQnJ1OhQgWmTZvGk08+CcDIkSP54osvmDNnDoUKFaJp06Y0atTIch0XERGRHMFqgteDfi5o0qRJ92zbvXs3DRs2pH379sCtpcTly5fj7u4OgK2tLZ06daJTp053/XxQUBBBQUH/snIRERHJK6wmeP0XmzZtYv/+/fTt25cCBQrw1Vdf4ezsnOWbjCIiIiIPouD1EDp37syoUaN47733uH79OgEBAUyYMOGe32j8r2LbxGbLdbOTp6un0SWIiIjkeApeD8HZ2ZnBgwdb7H5BvlqWFBERyYv0OAkRERERC1HwEhEREbEQLTXmQNvithldgtVJvZlKYlyi0WVYJY29sVwcXIwuQcSqKHjlQGGzw4wuQUSsREzzGKNLELEqWmoUERERsRAFLxEREREL0VLjXTRq1IiEhIQ7jj/99NN89dVXAGzbto05c+Zw5MgR7OzsKF++PF26dKFs2bIABAYG3vceD3qSvoiIiOQ9Cl73EB4eTmhoaJZj9va3hmvBggV8/vnndOrUiT59+pCenk5sbCydO3dm2rRplC1bllWrVpk/N2bMGGxtbendu7dF+yAiIiI5i4LXPTg7O5t/i/Hv4uPjmThxIgMGDKB+/frm4x999BHnzp1j8uTJTJgwIctn8+XLh52d3V2vJyIiItZDwesRrV69GldXV+rVq3dHW79+/cjMzDSgKhEREckNFLwekclk4plnnsHW9s7vJZQsWdKAikRERCS3UPC6hzFjxhAZGZnl2DfffENycjJPPPGEQVWJiIhIbqbgdQ8dOnSgdu3aWY65urri6urKn3/+aVBVIiIikpvpOV734ObmhpeXV5Y/dnZ2+Pv7c/jw4bvu5frpp58YMGAAaWlpBlQsIiIiOZ2C1yOqXbs2KSkpWR4XAZCRkcG8efO4cuWK+bETIiIiIn+nhPCIPDw86Ny5M8OHDycpKYng4GCSk5PND1ONjo42ukQRERHJoRS8/oXWrVtTpEgRFixYQHR0NA4ODgQEBBAdHU2pUqWMLk9ERERyKAWvu1i2bNkDzwkNDb3jyfb3MmTIkP9akoiIiOQBCl45UGybWKNLsDqpqak4OTkZXYZV0tgby8XGxegSRKyKglcOFOQbZHQJVsdkMuHn62d0GVZJY28sk8lkdAkiVkXfahQRERGxEAUvEREREQtR8BIRERGxEO3xyoG2xW0zugSrk3ozlcS4RKPLsEoae2Np/I2T28fe09UT78LeRpeR6yh45UBhs8OMLkFEROS+YtvEKnj9C1pqFBEREbGQXB+8AgMD2bFjR5Zje/bsITg4mDFjxvyra06ZMoUuXbo8jvJEREREzHJ98Ponk8lEREQEISEhREREGF2OiIiIiFmeCl7x8fGEh4cTGBjIgAEDsLGxMbokEREREbM8s7n+8uXL9OjRg9KlSzN06FDs7OzMbYmJiYwZM4adO3dy7do1fH196d27N88//zwAJ0+eZPjw4Rw5coTnnnuOEiVKmD+7YsUKpk6dyooVK8zHunTpwnPPPUfXrl0ZPHgwLi4u/PHHH/z4448UKVKEd955h4YNGz7UvUVERMR65IkZr5SUFMLDwzl//jxDhw7FwcEhS/snn3xCWloa0dHRzJkzBw8PD0aOHAnAjRs36NWrF56ensyZM4caNWo81I9k/93XX39NmTJlmDNnDpUrV2bkyJFcuXLlgfcWERER65IngteoUaMAcHBwYPbs2Xe0BwcH06dPH3x9fXn66adp1qwZcXFxZGZmsmPHDpKSkvjwww/x8fGhWbNmVK9e/ZHuX7p0ad5++228vb3p2rUr169f58SJEw+8t4iIiFiXPLHUWKhQISZNmsS6desYM2YMNWvWpEKFCub2pk2bsmbNGvbt28fp06c5cuQIAOnp6cTFxVG8eHEKFChgPr9cuXJs2/bwDzEtXry4+bWLiwsAaWlpD7y3vX2eGH4RERF5SHniX/6ePXvi5uZG06ZNWb16NUOGDGHu3Lk4OjqSkZHBe++9x9WrVwkJCSE4OJibN2/y4Ycf3vN6DwpE6enpWd7/c2nztn9zbxEREcm78sRS4+2N9DY2NvTv35+EhASmTZsGQFxcHHv27GHSpEm0a9eOqlWrcunSJfNnS5UqxdmzZ7l69ar52NGjR82vHRwcSElJMS8NZmZmcu7cuYeq60H3FhEREeuSJ4LX3/n6+tK2bVvmz5/Pvn37cHFxwdbWlrVr15KQkMD69euJiooCbm2sDwwMpFixYgwdOpSTJ0/y7bffsmHDBvP1/P39SUlJ4csvvyQ+Pp6JEydmCWn386B7i4iIiHXJc8ELoG3btvj4+DB06FBcXV358MMPmTdvHi1atGDWrFlERERgb2/P0aNHsbe3JzIykpSUFNq0acPSpUtp2rSp+VpeXl6Eh4cTGxtL69atuXnzJiEhIQ9Vh4eHx33vLSIiItbFJikpSV+vy2F8BvkYXYKIiMh9xbaJJcg3yOgy/jWTyYSfn5/F75snZ7xEREREcqI88a3GvCa2TazRJVid1NRUnJycjC7DKmnsjaXxN05uH3tPV0+jS8iVFLxyoNw8dZtbmUwm/HwtP+UsGnujafyNo7G3TlpqFBEREbEQBS8RERERC9FSYw60Le7hf65IHo/Um6kkxiUaXca/5unqiXdhb6PLEBGRB1DwyoHCZocZXYLkMrFtYhW8RERyAS01ioiIiFiIgpeIiIiIheSJpcZGjRqRkJBgfm9nZ4eHhwevv/46bdq0oUuXLjz33HN07dr1gde6fPkyu3bteuifBRIRERF5WHkieAGEh4cTGhoKQHp6Ojt37uSzzz6jSJEij3Sdzz//nLS0NAUvEREReezyTPBydnbG3d3d/L5hw4asWbOGDRs2PNJ1MjP105UiIiKSPfL0Hi87Ozvy5cuX5VhaWhoTJ06kYcOGBAUF8dprr7F48WIAoqKiWLlyJd9//z2NGjUCIDk5mUGDBlGzZk3q1avHsGHDSElJMV9v8+bNvPXWW1StWpWaNWvSv39/kpOTzdfr2LFjlvs3atSIpUuXZmOvRUREJKfKk8ErLS2NjRs38vPPP1OtWrUsbbNnz+bHH39k+PDhLF68mIYNGzJ27FguXrxI69atqVOnDrVq1WLWrFkADB06lCtXrhAVFUVkZCSnT59myJAhAMTHx9O3b1+aNGnCwoULGT58OL/88gtLliyxdJdFREQkF8gzS41jxowhMjISgOvXr5M/f37CwsKoV69elhmmUqVKMWDAACpUqABA27ZtiY6O5vTp07z44os4OjqSnp7OE088wW+//camTZtYs2YNrq6uAAwaNIhGjRpx/vx50tPT6d27N6+//joAnp6eBAYGcvLkSct2XkRERHKFPBO8OnToQO3atQHIly8f7u7u2NnZ3XFejRo1+Pnnnxk/fjynT5/myJEjAGRkZNxxblxcHJmZmbz22mt3tJ0+fZrAwEDy5ctHTEwMJ0+eNP+pW7fuY+6diIiI5AV5Jni5ubnh5eX1wPOmTJnCN998w6uvvsorr7zCBx98YN7P9U/p6ek4OTkxd+7cO9rc3d05duwYHTt2JDg4mIoVK/Lmm28SGxtrPsfGxuau1xQRERHrlGeC18NasmQJ77//vvnRE7eXBW9/m/HvYcnb25vU1FQyMjLw9r71cyxnz55l/Pjx9OvXj++++46AgAA+/fRT82fOnj1rDoAODg5ZNuKnpqZy+fLl7O2giIiI5Fh5cnP9/bi6uvLTTz8RHx/Pr7/+yqBBgwC4ceMGAE5OTiQkJHDhwgV8fX0JCgrik08+4cCBAxw7doxBgwZx+fJl3N3dcXV15eTJkxw4cIAzZ84wfvx4Dh06xM2bNwHw9/fn+PHjfPfdd5w5c4bhw4ffdflTRERErIPVBa+PPvqIEydO0LJlSwYNGkTt2rUpX748x44dA6BBgwbEx8fTqlUrMjMzGTx4MF5eXnTv3p0uXbpQpEgRRo8eDUCLFi0ICAige/fudOjQgYSEBDp06GC+1ksvvUTr1q0ZM2YM7du3x9vbm4CAAMP6LiIiIsaySUpK0hNDcxifQT5GlyC5TGybWIJ8g4wu418xmUz4+fkZXYbV0vgbR2NvLKPG3+pmvERERESMYnWb63OD2DaxDz5JHqvU1FScnJyMLuNf83T1NLoEERF5CApeOVBuXTLKzUwmE36+mvIXEZHspaVGEREREQtR8BIRERGxEC015kDb4rYZXYLVSb2ZSmJcotFlWCWNvbE0/sZxcXAxugQxgIJXDhQ2O8zoEkREJJvFNI8xugQxgJYaRURERCxEM14PcPnyZaZPn87mzZu5cuUKHh4ehIaG8tZbb5E/f36jyxMREZFcRMHrPi5cuEDHjh3x9PRk8ODBFCtWjOPHjzNlyhS2bNnC1KlTFb5ERETkoWmp8T5Gjx5N0aJFmTRpEi+88AKenp5Uq1aNqKgoLl68yIwZM4wuUURERHIRBa97uHz5Mps3b6ZNmzbY22edGCxYsCAtW7bk22+/5b333mPkyJFZ2gcMGMCYMWMAiIuLo0ePHtSsWZP69esTFRVFRkaGxfohIiIiOYeC1z0cOXKEjIwMnn322bu2V6xYkT/++IPnnnuOjRs3kp6eDsC1a9f46aefqFu3LklJSXTq1IkiRYoQExPDhx9+yOLFi5k3b54luyIiIiI5hILXPVy9ehW4Nbt1N4UKFQLgxRdfJCUlhT179gDw008/4ebmRoUKFVi9ejWOjo7069cPX19fqlevTufOnZkzZ45lOiEiIiI5ioLXPdwOVpcuXbpr+8WLFwEoXLgwVatWZd26dQCsW7eOunXrYmNjQ1xcHGXLls2yVBkQEEBSUhJJSUnZ2wERERHJcRS87sHf3x87OzsOHz581/ZDhw7h5uZG8eLFCQ0NZdOmTaSkpLBlyxbq1q0LQL58+e743O39XbeXJkVERMR6KHjdg5ubG7Vr1yY6Opq0tLQsbcnJycyfP59XX30Ve3t7qlSpws2bN/nyyy/x9PTEz88PAF9fX44ePZrl8/v376dQoUI88cQTFu2PiIiIGE/B6z569uxJamoq3bt3Z/fu3fz+++9s3bqVzp074+HhQceOHYFbM1s1atRg/vz55tkugNDQUNLT0xk+fDhxcXH8+OOPREVF0bRpU2xtNfQiIiLWRg9QvQ93d3dmzJjBzJkzGTx4MJcvX77nk+vr1q3L8uXLswSvAgUKMGHCBMaOHctbb72Fm5sbLVq04J133jGiOyIiImIwBa8HcHNzo1evXvTq1eu+5yUmJvLss8/i5eWV5XiZMmWYNm1adpYoIiIiuYSC138UHx/PoUOHmDFjBm+//bbR5YiIiEgOpuD1H507d46hQ4dSpUoVXn311cdyzdg2sY/lOvLwUlNTcXJyMroMq6SxN5bG3zguNi5GlyAGsElKSso0uggRo5lMJvO3UcWyNPbG0vgbR2NvLKPGX1+tExEREbEQBS8RERERC9EerxxoW9w2o0uwOqk3U0mMSzS6DKuksTeWi4P2GYlYkoJXDhQ2O8zoEkTESsQ0jzG6BBGroqVGEREREQtR8BIRERGxEKtYamzUqBEJCQnm9zY2NhQsWJCKFSvSp08fPDw8CAwM5PPPPycwMNDASkVERCQvs4rgBRAeHk5oaCgAGRkZxMXFMWLECAYNGsSUKVNYtWoVrq6uBlcpIiIieZnVBC9nZ2fc3d3N74sWLUrnzp35+OOPSU5OztImIiIikh2seo+Xg4MDALa2tgQGBrJjxw6+/vprGjZsSGbm/z3Qf+3atdSrV4/09HRu3LjBuHHjqFu3LnXq1KFfv35cunQJuPXzQYGBgcyYMYPatWszdOhQkpOT6d+/P3Xq1KFmzZp88MEHJCbqq/MiIiLWyGqD15kzZ4iKiiIoKIgCBQqYj9euXZtLly5x8OBB87H169dTu3Zt7OzsmDx5Mvv372fcuHFMmzaNzMxMevfunSWo7dmzh9mzZ/P2228zbdo0EhISmDp1KjNmzOCPP/5g/PjxluyqiIiI5BBWs9Q4ZswYIiMjAUhPT8fBwYFq1arRq1evLOe5ubkRGBjIhg0bKF++PKmpqWzdupVJkyZx7do1Fi1aRExMDGXLlgVg0KBBhISEsHfvXjw8PABo0aIFJUqUACAhIQEnJyc8PT0pUKAAgwYN4s8//7Rgz0VERCSnsJrg1aFDB2rXrk1qairTp0/n999/p2vXrri5ud1xbkhICDExMfTo0YOffvoJV1dXAgICOHnyJDdv3qRTp05Zzr9x4wZnzpwxBy9PT09z29tvv02vXr0IDQ3lhRdeoEaNGtSvXz9b+yoiIiI5k9UELzc3N7y8vAAYNmwYbdq0oU+fPsycORN7+6zDUKNGDUaOHMmxY8dYv349ISEh2NjYkJ6eDsDUqVNxccn6MxtPPPEEV69eBSBfvnzm4wEBASxbtoyffvqJLVu2MGHCBFavXs2UKVOys7siIiKSA1nlHi8HBwcGDhyIyWRi3rx5d7S7uLgQFBTEhg0b2L59OyEhIQAUL14cOzs7kpKS8PLywsvLiyeeeILx48dneU7Y38XGxnLw4EHq1avH0KFDiYyMZNeuXeYN+SIiImI9rDJ4Afj7+/Paa68xc+ZMLly4cEd73bp1+eqrr3jyyScpV64ccOuRFI0aNWLMmDHs3LmTU6dOMWjQII4fP26eTfun8+fPM2bMGPbt20d8fDzff/89Tz311F2XOEVERCRvs5qlxrvp1q0bGzZsYOLEiXe0Va1aFcA823Vbz549mTRpEgMGDODGjRtUqFCBiRMnkj9//rveo0uXLqSkpNCnTx/++usvnn32WcaNG4ednd3j75CIiIjkaDZJSUmZDz5NLMlnkI/RJYiIlYhpHkMt/1pGl2GVTCYTfn5+RpdhtYwaf6tdahQRERGxNKteasypYtvEGl2C1UlNTcXJycnoMqySxt5YLjYuDz5JRB4bBa8cKMg3yOgSrI7JZMLPV1P+RtDYG8tkMhldgohV0VKjiIiIiIUoeImIiIhYiJYac6BtcduMLuGRebp64l3Y2+gyREREcjQFrxwobHaY0SU8stg2sQpeIiIiD6ClRhEREREL0YzXfTRq1Oiev8E4atQoatSokeXYjh07eO+999ixY4cFqhMREZHcRsHrAcLDwwkNDb3jeKFChQyoRkRERHIzBa8HcHZ2xt3d3egyREREJA9Q8PoPkpOTGTFiBD/99BPu7u689tprWdrPnz/P+PHj2blzJzY2NtStW5cePXrg6OhoUMUiIiJiJAWv/2DEiBGcOnWKqVOn8scffzB48GBz282bN+nWrRteXl5MmTKFK1eu8Nlnn5GZmckHH3xgYNUiIiJiFAWvBxgzZgyRkZFZjhUsWJCvvvqK9evX8/nnn/PMM88A0K5dO8aMGQPAtm3buHDhAjExMbi6ugLwwQcf0Lt3b7p164aLi34fTURExNooeD1Ahw4dqF27dpZjtra2nDlzhvT0dPz8/u835sqVK2d+HRcXh5eXlzl0AVSoUIH09HTOnDmDv79/9hcvIiIiOYqC1wO4ubnh5eV1x/ErV64AkJmZaT5mb/9/w3m3fVwZGRlZ/q+IiIhYFz1A9V8qWbIk9vb2HDp0yHzs6NGj5tc+Pj6cPXvWHNAA9u/fj52dHSVKlLBorSIiIpIzaMbrAVJSUkhMTLzjuJOTE6+88grjxo3j448/5vr168TExJjbAwMDKVmyJIMGDaJbt25cvXqVsWPHEhISgpubmwV7ICIiIjmFgtcDTJgwgQkTJtxxvFWrVvTp04cxY8bQo0cPChUqRPPmzZk4cSJwax/Y6NGjGT16NO3ataNAgQKEhoby7rvvWroLIiIikkMoeN3HsmXLHnjOwIEDGThwoPl969atza89PT3v+EakiIiIWC/t8RIRERGxEM145UCxbWKNLuGRebp6Gl2CiIhIjqfglQMF+QYZXYKIiIhkAy01ioiIiFiIgpeIiIiIhSh4iYiIiFiI9njlQNvithldgtVJvZlKYtydD8qV7KexN5aLg4vRJYhYFQWvHChsdpjRJYiIlYhpHvPgk0TksdFSo4iIiIiFWPWM1+XLl5k+fTqbN2/mypUreHh4EBoayltvvUX+/PmNLk9ERETyGKsNXhcuXKBjx454enoyePBgihUrxvHjx5kyZQpbtmxh6tSpCl8iIiLyWFntUuPo0aMpWrQokyZN4oUXXsDT05Nq1aoRFRXFxYsXmTFjhtElioiISB5jlcHr8uXLbN68mTZt2mBvn3XSr2DBgrRs2ZJvv/2W9PR0Dh8+TLt27QgODqZ9+/ZMmzaNLl26ALBixQoaNmyY5fNdunRhypQpAAwePJixY8cycOBAqlWrRtOmTVmxYoVlOikiIiI5jlUGryNHjpCRkcGzzz571/aKFSvyxx9/cOLECcLDwylTpgxz5swhNDSUWbNmPdK9vv76a/PnK1euzMiRI7ly5cpj6IWIiIjkNlYZvK5evQrcmt26m0KFCgHwww8/4OjoyPvvv4+Pjw/Nmzendu3aj3Sv0qVL8/bbb+Pt7U3Xrl25fv06J06c+G8dEBERkVzJKoPX7WB16dKlu7ZfvHgRgIMHD1K2bNksy5EVKlR4pHsVL17c/NrF5daDCtPS0h7pGiIiIpI3WGXw8vf3x87OjsOHD9+1/dChQ7i5uVG8eHEyMzOztP3z/T+lp6dnee/g4PDfihUREZE8wyqDl5ubG7Vr1yY6OvqO2afk5GTmz5/Pq6++ip+fHyaTKUuY+ntYc3BwICUlxRzGMjMzOXfunGU6ISIiIrmOVQYvgJ49e5Kamkr37t3ZvXs3v//+O1u3bqVz5854eHjQsWNH6tatS2pqKuPGjeP06dMsXbqUtWvXYmNjA9yaOUtJSeHLL78kPj6eiRMnmvePiYiIiPyT1QYvd3d3ZsyYQZkyZRg8eDBvvPEG48aNo0aNGkybNo38+fNToEABxo4dy6+//sqbb77JypUreeWVV8x7vry8vAgPDyc2NpbWrVtz8+ZNQkJCDO6ZiIiI5FQ2SUlJ99+0ZMXi4+O5ePEiFStWNB8bNWoUqampfPLJJ9l2X59BPtl2bRGRv4tpHkMt/1pGl2GVTCYTfn5+RpdhtYwaf6ud8XoYKSkpvPvuu6xfv56EhAQ2btzId99998iPlBAREREBK/6txodRpkwZ+vTpw+TJkzl//jweHh6Eh4dTtWrVbL1vbJvYbL2+3Ck1NRUnJyejy7BKGntjudi4GF2CiFXRUqMImvI3ksbeWBp/42jsjaWlRhEREZE8TsFLRERExEK0xysH2ha3zegSrE7qzVQS4xKNLsMquThoj5GIWA8FrxwobHaY0SWIWExM8xijSxARsRgtNYqIiIhYiIKXiIiIiIVYffAKDAxkx44dWY7t2bOH4OBgxowZY1BVIiIikhdZffD6J5PJREREBCEhIURERBhdjoiIiOQhCl5/Ex8fT3h4OIGBgQwYMAAbGxujSxIREZE8RMHr/7t8+TI9evSgdOnSDB06FDs7O3NbYmIiffv2pXbt2rz88su0bt2a3bt3A3Du3DkCAwPZsGEDTZo0oWbNmkRERJCUlGT+/L59++jYsSPVqlWjUaNGLFq0yNLdExERkRxAwYtbP4YdHh7O+fPnGTp0KA4ODlnaP/nkE9LS0oiOjmbOnDl4eHgwcuTILOfMmjWLIUOGMHbsWA4ePMicOXMAiIuL491336VSpUrMmTOHjh07MmnSJNatW2ex/omIiEjOoOAFjBo1CgAHBwdmz559R3twcDB9+vTB19eXp59+mmbNmhEXF0dm5v/9zGXHjh0pX748zz//PKGhoRw6dAiApUuXUrp0abp164a3tzcNGzakefPm5mAmIiIi1kMPUAUKFSpknoUaM2YMNWvWpEKFCub2pk2bsmbNGvbt28fp06c5cuQIAOnp6eZzihcvbn7t7OxMWloaAKdOneLZZ5/Ncr+AgAAWL16cnV0SERGRHEgzXkDPnj1xc3OjadOmVKhQgSFDhnD9+nUAMjIyeO+995g7dy4eHh60bt2aTz755I5r/HN58rZ8+fLdcSw9PT1LaBMRERHroOAF5o30NjY29O/fn4SEBKZNmwbc2qO1Z88eJk2aRLt27ahatSqXLl166Gv7+vpy8ODBLMf2799PyZIlH18HREREJFdQ8PoHX19f2rZty/z589m3bx8uLi7Y2tqydu1aEhISWL9+PVFRUQDcuHHjgddr2rQpx48fZ/LkyZw+fZqVK1eyePFi3njjjezuioiIiOQwCl530bZtW3x8fBg6dCiurq58+OGHzJs3jxYtWjBr1iwiIiKwt7fn6NGjD7yWh4cHkZGRbN++nTfffJOYmBjCw8Np3Lhx9ndEREREchSbpKSkzAefJpbkM8jH6BJELCameQy1/GsZXYbVMplM+Pn5GV2GVdLYG8uo8deMl4iIiIiF6HESOVBsm1ijS7A6qampODk5GV2GVXKxcTG6BBERi1HwyoGCfIOMLsHqmEwm/Hw15W8Ek8lkdAkiIhajpUYRERERC1HwEhEREbEQfasxB9oWt83oEqyO9ngZR2NvLI2/cTT2xnKxcaGCT4UHn/iYaY9XDhQ2O8zoEkRERPK0mOYxhtxXS40iIiIiFmL1M16NGjUiISEBuPVbjfnz58fPz4/27dsTFPTgbxfu2rWLrl27snXrVuzt7Tl27BgpKSlUqlQpu0sXERGRXEYzXkB4eDirVq1ixYoVxMTEEBAQQO/evdmxY8cjX6tPnz6cPn06G6oUERGR3E7BC3B2dsbd3Z0iRYpQqlQpevToQd26dYmMjDS6NBEREclDFLzuoXHjxpw4cYKzZ8+SnJzMoEGDqFmzJvXq1WPYsGGkpKTc8ZkuXbqQkJDAsGHDGDx4MACbN2/mrbfeomrVqtSsWZP+/fuTnJxs6e6IiIhIDqDgdQ++vr4AxMXFMXToUK5cuUJUVBSRkZGcPn2aIUOG3PGZkSNHUrRoUcLDw4mIiCA+Pp6+ffvSpEkTFi5cyPDhw/nll19YsmSJpbsjIiIiOYDVb66/FxeXW78fd/z4cTZt2sSaNWtwdXUFYNCgQTRq1Ijz589n+Yyrqyt2dnY4Ozvj4uLC5cuX6d27N6+//joAnp6eBAYGcvLkSct2RkRERHIEBa97uL2U6OfnR2ZmJq+99tod55w+fRo7O7t7XqNkyZLky5ePmJgYTp48af5Tt27dbKtbREREci4Fr3s4fvw4AGfPnsXJyYm5c+fecY67uzuHDh265zWOHTtGx44dCQ4OpmLFirz55pvExsZmW80iIiKSs2mP1z18++23PPPMMwQFBZGamkpGRgZeXl54eXkBMH78+LtusP+77777joCAAD799FOaNWuGv78/Z8+eJTNTv9IkIiJijTTjxa1lxcTERACSkpL49ttvWbt2LZ9//jm+vr4EBQXxySef8P7775MvXz5GjhxJRkYG7u7udzyzq0CBApw+fZorV67g6urKyZMnOXDgAIUKFWLJkiUcOnSIp556yohuioiIiMEUvIAJEyYwYcIEAAoXLkzZsmWZPHkyFStWBGDw4MGMHTuW7t27Y2NjQ2BgIO+///5dr/XGG28wceJEzp07x6BBgzh69Cjdu3fHwcGBSpUq0aFDB77//ntLdU1ERERyEJukpCSte+UwPoN8jC5BREQkT4tpHkMt/1oWv6/2eImIiIhYiJYac6DYNvrmo6Wlpqbi5ORkdBlWSWNvLI2/cTT2xnKxcTHkvgpeOVCQb5DRJVgdk8mEn6+f0WVYJY29sTT+xtHYG8tkMhlyXy01ioiIiFiIgpeIiIiIhWipMQfaFrfN6BKsTurNVBLjEo0u41/zdPXEu7C30WWIiMgDKHjlQGGzw4wuQXKZ2DaxCl4iIrmAlhpFRERELETBS0RERMRCrD54Xb58mZEjR9KwYUOCg4Np1qwZ06dP59q1a//6mg0bNmTFihWPsUoRERHJC6x6j9eFCxfo2LEjnp6eDB48mGLFinH8+HGmTJnCli1bmDp1Kvnz5ze6TBEREckjrHrGa/To0RQtWpRJkybxwgsv4OnpSbVq1YiKiuLixYvMmDHD6BJFREQkD7Ha4HX58mU2b95MmzZtsLfPOvFXsGBBWrZsybfffsuOHTto2LAh33zzDQ0bNqROnTp88sknWZYilyxZQsOGDalZsyazZs3Kcq2MjAzmzJnD66+/TnBwMJ07d+bYsWOW6KKIiIjkMFYbvI4cOUJGRgbPPvvsXdsrVqzIH3/8wblz57h06RJr164lMjKSjz76iA0bNpj3cG3bto1x48bRrVs3oqOjOXDgABcuXDBfJzo6mnnz5tGrVy++/PJLPD09CQ8PJyUlxSL9FBERkZzDaoPX1atXgVuzW3dTqFAhAJKSkkhPT6d37974+flRvXp1goKCOHz4MADLli0jJCSE+vXrU6pUKQYOHEi+fPkAyMzMZOHChXTo0IFq1arh6+vLgAEDsLe3Z9WqVRbopYiIiOQkVhu8bgerS5cu3bX94sWLALi6ugJQokQJc5uzszNpaWkAxMXF4ef3fz9y6ubmRrFixYBby5lXr16lfPny5nZ7e3vKlSvHqVOnHl9nREREJFew2uDl7++PnZ2deebqnw4dOoSbmxvFixcHuGMfWGZm5l1f//1cR0fHu147IyOD9PT0f127iIiI5E5WG7zc3NyoXbs20dHR5tmr25KTk5k/fz6vvvoqdnZ2971OqVKlsoS35ORk4uPjAXBxccHd3Z0DBw6Y29PS0jhy5Aje3vp5FxEREWtjtcELoGfPnqSmptK9e3d2797N77//ztatW+ncuTMeHh507Njxgddo1qwZGzZsYMmSJZw6dYphw4Zx48YNc3urVq2Ijo7mxx9/NLdfu3aNunXrZmfXREREJAey6geouru7M2PGDGbOnMngwYO5fPkyHh4ehIaG8tZbbz3Uw1Off/55Pv74Y6ZOncqECRNo3LgxpUqVMreHhYWRkpLC8OHDSU5OpkKFCkybNo0nn3wyO7smIiIiOZBNUlJS5oNPE0vyGeRjdAmSy8S2iSXIN8joMv4Vk8mU5QsqYlkaf+No7I1l1Phb9VKjiIiIiCVZ9VJjThXbJtboEqxOamoqTk5ORpfxr3m6ehpdgoiIPAQFrxwoty4Z5WYmkwk/X035i4hI9tJSo4iIiIiFKHiJiIiIWIiWGnOgbXHbjC7B6rg4uBhdgoiIWAEFrxwobHaY0SVYnZjmMUaXICIiVkBLjSIiIiIWkmeCV2BgIDt27MhybM+ePQQHBzNmzJiHusaxY8fYs2fPA8/btWsXgYGBd/zGo4iIiMj95Jng9U8mk4mIiAhCQkKIiIh4qM/06dOH06dPP/C8gIAAVq1ahb29VmpFRETk4eXJ4BUfH094eDiBgYEMGDAAGxubx3p9BwcH3N3dH+s1RUREJO/Lc8Hr8uXL9OjRg9KlSzN06FDs7OzMbYmJifTt25fatWvz8ssv07p1a3bv3g1Aly5dSEhIYNiwYQwePBiAadOm0aBBA6pWrUq7du3Yt28fkHWp8dy5cwQGBrJhwwaaNGlCzZo1iYiIICkpyXzf5cuX07x5c6pUqUJISAgjRozQMqWIiIgVylPBKyUlhfDwcM6fP8/QoUNxcHDI0v7JJ5+QlpZGdHQ0c+bMwcPDg5EjRwIwcuRIihYtSnh4OBEREWzcuJFFixYxZMgQFixYwDPPPEO/fv3IyMi4671nzZrFkCFDGDt2LAcPHmTOnDkA7N27l1GjRtG1a1e+/vpr+vbty4oVK9i4cWP2DoaIiIjkOHlqk9KoUaNwd3fHwcGB2bNn06NHjyztwcHB1KxZEw8PDwCaNWtGeHg4mZmZuLq6Ymdnh7OzMy4uLiQkJGBvb89TTz1F8eLFeffdd6lRo8Y9g1fHjh0pX748AKGhoRw6dAgAR0dHBgwYQM2aNQEoVqwY8+bNIy4uLruGQURERHKoPBW8ChUqxKRJk1i3bh1jxoyhZs2aVKhQwdzetGlT1qxZw759+zh9+jRHjhwBID09/Y6N8vXq1WPFihU0adIEf39/goODee211+65ob548eLm187OzualxHLlyuHo6EhUVBQnT57k+PHjnD17lpdeeulxd19ERERyuDy11NizZ0/c3Nxo2rQpFSpUYMiQIVy/fh2AjIwM3nvvPebOnYuHhwetW7fmk08+uee1ChcuzJdffsn48eN59tln+eabb3j77be5ePHiXc//57Lmbdu2bePtt98mMTGRypUrM2LECAICAv57Z0VERCTXyVPB6/ZGehsbG/r3709CQgLTpk0DIC4ujj179jBp0iTatWtH1apVuXTp0j2v9dNPP/HNN98QFBTE+++/z6JFi/jrr7/Yu3fvI9W0bNkyGjRoQP/+/WncuDE+Pj7Ex8eTmZn5r/spIiIiuVOeWmr8O19fX9q2bUt0dDQ1atTAw8MDW1tb1q5dS40aNTh06BBRUVEA3LhxA3t7ewoUKMDp06e5cuUKmZmZTJw4kcKFC1OuXDl27tzJ9evXKVOmDImJiQ9dh6urK/v378dkMmFra8vs2bNJTEzk5s2b2dV1ERERyaHy1IzXP7Vt2xYfHx+GDh2Kq6srH374IfPmzaNFixbMmjWLiIgI7O3tOXr0KABvvPEG33zzDcOGDSM4OJguXbowceJE3njjDebPn8+nn36Kt7f3I9XQsWNHnnzySdq3b897772Hg4MDb7zxhvmeIiIiYj1skpKStOaVw/gM8jG6BKsT0zyGWv61jC7DKplMJvz8/Iwuw2pp/I2jsTeWUeOfp2e8RERERHKSPLvHKzeLbRNrdAlWx8XGxegSRETECih45UBBvkFGl2B1TCaT0SWIiIgV0FKjiIiIiIUoeImIiIhYiJYac6BtcduMLsHqpN5MJTHu4Z/PltN4unriXfjRHnUiIiKWp+CVA4XNDjO6BMllYtvEKniJiOQCWmoUERERsRAFLxERERELyfNLjY0aNSIhIeGubaNGjaJGjRqWLUhERESsVp4PXgDh4eGEhobecbxQoUIGVCMiIiLWyiqCl7OzM+7u7kaXISIiIlbO6vd4NWrUiIULF9K+fXuCg4Np27Ythw4dAuDcuXMEBgZy9uxZ8/lRUVF07NjR/H779u2EhYURHBxMeHg4o0ePZvDgwXc99/b9li5dmv0dExERkRzH6oMXQHR0NG+99RYxMTHky5eP0aNHP9Tn4uPjef/996lduzZz587F39+fxYsXZ3O1IiIikltZxVLjmDFjiIyMzHKsYMGCrFixAoD69eubN9m3bt2aDz744KGuu2zZMsqWLUuHDh0A6Ny5Mzt27Hh8hYuIiEieYhXBq0OHDtSuXTvLMVvb/5vsK1GihPm1s7MzGRkZpKenP/C6JpMJf3//LMfKly/P1atX/2PFIiIikhdZRfByc3PDy8vrnu329ncOQ2ZmJjY2Nncc/3sgs7OzIzMz847P3fagz4uIiIh10R6v+3BwcAAgJSXFfCw+Pt78+umnn+bIkSNZPvP39w4ODlk+m5qayuXLl7OrXBEREcnhrCJ4paSkkJiYeMefv4eiuylcuDAeHh7MmjWL+Ph4Vq1axZYtW8ztr7/+OocPH2bmzJmcPn2aWbNmsXfvXvNMl7+/P8ePH+e7777jzJkzDB8+HDs7u2ztq4iIiORcVrHUOGHCBCZMmHDH8VatWt33c7a2tgwcOJAxY8bQokULXnjhBdq3b88PP/wAQLFixRgxYgTjx48nOjqawMBAqlevbp4pe+mll2jdujVjxozB1taWli1bEhAQ8Pg7KCIiIrmCTVJSUuaDT5O7OXHiBGlpaZQtW9Z8rFevXpQrV45OnTr96+v6DPJ5DNWJNYltE0uQb5DRZfwrJpMJPz8/o8uwWhp/42jsjWXU+FvFUmN2+e2333j33Xf5+eefSUhIYOnSpezcuZOaNWsaXZqIiIjkQFax1JhdqlevzokTJ/j000/5448/KFmyJJ999tl/TtCxbWIfU4XysFJTU3FycjK6jH/N09XT6BJEROQhKHj9R+3ataNdu3aP9Zq5dckoNzOZTPj5aspfRESyl5YaRURERCxEwUtERETEQrTUmANti9tmdAlWJ/VmKolxiUaXYZVcHFyMLkFExGIUvHKgsNlhRpcgYjExzWOMLkFExGK01CgiIiJiIQpeIiIiIhZiFcErMDCQHTt2ZDm2Z88egoODGTNmjEFViYiIiLWxiuD1TyaTiYiICEJCQoiIiDC6HBEREbESVhe84uPjCQ8PJzAwkAEDBmBjY2N0SSIiImIlrCp4Xb58mR49elC6dGmGDh2KnZ0dAGPHjqVPnz7m82JjY/nf//7HlStXAEhKSqJy5cpcuHCBlJQUPv30U0JDQ6lSpQrNmjVjw4YN5s8GBgYydepU6taty7vvvgvA8uXLad68OVWqVCEkJIQRI0aQlpZmwZ6LiIhITmA1wSslJYXw8HDOnz/P0KFDcXBwMLdVrlyZPXv2kJGRAcDu3bsB2LdvHwA7d+7k6aefpmjRokRGRnLq1CkmTZrEV199RaVKlRg2bBg3btwwX+/HH39k+vTp9O7dm7179zJq1Ci6du3K119/Td++fVmxYgUbN260YO9FREQkJ7Ca4DVq1CgAHBwcmD17dpa2F154gWvXrnH8+HEyMzPZu3cvVapUMQevn3/+mcqVKwNQsWJF+vbtS5kyZShZsiStW7fm6tWrXLx40Xy9xo0b4+3tTalSpXB0dGTAgAHUrFmTYsWKUbt2bcqUKUNcXJyFei4iIiI5hdU8QLVQoUJMmjSJdevWMWbMGGrWrEmFChUAyJ8/P8899xy7du3C1tYWZ2dnatWqxbfffgvAjh07+PjjjwGoX78+P/zwA0uXLuX06dMcPnwYwDxbBlCsWDHz63LlyuHo6EhUVBQnT57k+PHjnD17lpdeeslSXRcREZEcwmpmvHr27ImbmxtNmzalQoUKDBkyhOvXr5vbK1euzK5du9i9ezcVK1akYsWKHDlyhOPHj3P16lWee+45AAYNGsT48eMpWLAgTZo0ITIy8o57OTo6ml9v27aNt99+m8TERCpXrsyIESMICAjI/g6LiIhIjmM1wev2RnobGxv69+9PQkIC06ZNM7ff3ud1O3h5eXlRsGBBZs2axYsvvoiDgwPJycmsXr2aoUOH0rlzZ2rWrMnVq1cByMzMvOt9ly1bRoMGDejfvz+NGzfGx8eH+Pj4e54vIiIieZfVBK+/8/X1pW3btsyfP9+8j8vPzw9HR0c2b95MpUqVgFv7udauXUtQUBBwa0nSycmJTZs2ce7cObZv387o0aMBuHnz5l3v5erqyv79+zGZTJw4cYIhQ4aQmJh4z/NFREQk77LK4AXQtm1bfHx8GDp0KNeuXQPgf//7HwULFsTb2xuASpUqkZmZaQ5e9vb2DB48mE2bNtGiRQsiIyN55513KFq0KEePHr3rfTp27MiTTz5J+/btee+993BwcOCNN9645/kiIiKSd9kkJSVpzSuH8RnkY3QJIhYT0zyGWv61jC7DaplMJvz8/Iwuwypp7I1l1Phbzbcac5PYNrFGl2B1UlNTcXJyMroMq+Ri42J0CSIiFqPglQMF+QYZXYLVMZlM+Pnqf3kawWQyGV2CiIjFWO0eLxERERFLU/ASERERsRAFLxEREREL0R6vHGhb3DajS7A6qTdTSYxLNLoMq6SxN5bG3zi5few9XT3xLuxtdBm5joJXDhQ2O8zoEkRERO4rtk2sgte/oKVGEREREQvJc8Hr2rVrREdH06JFC4KDg6lTpw69evXiwIED2XK/wMBAduzYkS3XFhERkbwlTy01Xrt2jU6dOnH16lXCw8MpW7YsycnJrFixgi5dujBt2jSeffZZo8sUERERK5WngldMTAwXLlxgwYIFuLq6mo/37t2bK1euMHPmTMaMGWNghSIiImLN8kzwysjI4NtvvyUsLCxL6LqtZ8+eODg4ABAXF0dkZCT79+/HycmJxo0b06FDB2xtbYmKiuLMmTO4ubmxfPly3NzcGDBgAHFxccycOZPMzEw6dOjAG2+8Yb723r17GTlyJBcuXKBGjRr069ePAgUKAHDixAnGjBnDgQMHKFKkCE2bNuXNN9/ExsbGMgMjIiIiOUae2eMVHx/P5cuXef755+/a/sQTT+Di4kJSUhKdOnWiSJEixMTE8OGHH7J48WLmzZtnPnfjxo0UKFCAefPmUa5cOfr168fOnTuZMmUKr7/+OpGRkSQlJZnP//rrr4mIiCAqKooTJ04wYsQI4NbSZ3h4OBUqVGDevHm8//77xMbGsnDhwmwdCxEREcmZ8kzw+uOPPwCyzHYdOnSI6tWrZ/mzevVqHB0d6devH76+vlSvXp3OnTszZ84c8+cKFixI165dKVGiBA0aNODPP/+kV69e+Pr68uabb5KWlsa5c+fM57dr144qVapQrlw53n//fdauXcuff/7J6tWrKVSoEN26daNkyZJUqVKFLl268NVXX1luYERERCTHyDNLjYUKFQIgOTnZfKx06dLMnTsXgH379jF48GDi4uIoW7Ys9vb/1/WAgACSkpLMs1ienp7mpUBHR0cAihUrluX9jRs3zJ/39/c3vy5btizp6emcPXuWU6dOERcXR/Xq1c3tGRkZ3Lx5k5s3b5qXPkVERMQ65JngVaJECVxdXdm3b585COXLlw8vLy8AEhISzMf+KSMjA4D09HQA7Ozs7jjH1vbek4N/b8vMzATA3t6e9PR0nn/+efr27XvHZ+52DxEREcnb8sxSo729Pa+++iqxsbFZZr1uu3DhAgC+vr4cPXqUtLQ0c9v+/fspVKgQTzzxxL+69/Hjx82vDx48iIODAyVKlKBkyZKcOXOGYsWK4eXlhZeXF8eOHePLL7+8b5ATERGRvClP/evfqVMnihYtSrt27VizZg3x8fEcPXqU8ePHM2zYMJ577jlCQ0NJT09n+PDhxMXF8eOPPxIVFUXTpk3/dRiaNm0aO3bs4MCBA4wdO5bGjRtToEABXnnlFW7evMlnn31GXFwcP//8M6NHjzYvi4qIiIh1yTNLjQD58+dnypQpLFiwgC+//JKzZ89ia2vLM888w8CBA6lXrx62trZMmDCBsWPH8tZbb+Hm5kaLFi145513/vV9W7duzWeffUZSUhJ16tShe/fuADg7OzNhwgQiIyN5++23KViwIA0aNKBr166Pq8siIiKSi9gkJSVlGl2EZOUzyMfoEkRERO4rtk0sQb5BRpfxr5lMJvz8/Cx+3zy11CgiIiKSk+Wppca8IrZNrNElWJ3U1FScnJyMLsMqaeyNpfE3Tm4fe09XT6NLyJUUvHKg3Dx1m1uZTCb8fC0/5Swae6Np/I2jsbdOWmoUERERsRAFLxEREREL0VJjDrQtbpvRJTwyT1dPvAt7G12GiIhIjqbglQOFzQ4zuoRHFtsmVsFLRETkAbTUKCIiImIhCl4iIiIiFpJnlxobNWpEQkLCXdtGjRpFZGQk77zzDo0bN7ZoXYMHDyY9PZ0hQ4ZY9L4iIiJivDwbvADCw8MJDQ2943ihQoWIjIw0oCKIiIgw5L4iIiJivDwdvJydnXF3dze6jCxcXFyMLkFEREQMYtV7vOLi4njrrbcIDg6mR48eXLp0ydx2/vx5+vXrR506dQgJCWH06NFcv34dgBUrVtCxY0eio6OpW7cur7zyCuPGjSMjI4OLFy9SuXJlDh48aL5WcnIyVatW5ciRIwwePJiPP/7Y4n0VERER41l18Prmm29o3bo1s2bNIi0tjb59+wJw8+ZNunXrRmpqKlOmTGH48OFs3bqVCRMmmD978OBB4uLiiIqKomvXrixcuJDt27dTpEgRKlWqxLp168zn/vDDDzz11FM888wzFu+jiIiI5Bx5OniNGTOG6tWrZ/nTsGFDc3uTJk0IDQ2lVKlSDBw4kF9//ZUTJ06wbds2Lly4wODBg/Hz8+PFF1/kgw8+4JtvviE5ORmA9PR0+vXrh4+PD6+99hp+fn4cOnQIgNDQUDZs2GC+z7p166hbt65lOy8iIiI5Tp7e49WhQwdq166d5Zit7f9lTX9/f/NrT09PChUqRFxcHPHx8Xh5eeHq6mpur1ChAunp6Zw5cwYANze3LPu1nJ2dSUtLA6B27dqMHj2aAwcOULJkSX7++WfCw8OzpY8iIiKSe+Tp4OXm5oaXl9c9221sbLK8z8zMxMHBAUdHxzvOzcjIyPJ/HRwc7jgnMzMTgIIFCxIUFMSGDRvw9fWlVKlS+Pj4/NtuiIiISB6Rp5caH+TEiRPm12fOnOHPP//Ex8cHHx8fzp49y5UrV8zt+/fvx87OjhIlSjzUtUNDQ9m8eTNbtmzRMqOIiIgAeXzGKyUlhcTExDuOOzk5AbBgwQLKlCmDl5cXo0aNomrVqnh7e+Pl5UXJkiUZNGgQ3bp14+rVq4wdO5aQkBDc3Nwe6t7BwcF89tln/P777/Ts2fMx9kpERERyqzwdvCZMmJDlm4i3tWrVCoDWrVsTFRVFfHw8lStXZsCAAcCtfWCjR49m9OjRtGvXjgIFChAaGsq777770PfOnz8/wcHB/P777zz11FOPp0MiIiKSq9kkJSVlGl1EXtW1a1dq165Ns2bNHulzPoN8sqegbBTbJpYg3yCjy/jXTCYTfn5+RpdhlTT2xtL4G0djbyyjxj9Pz3gZZdeuXRw4cIAjR44watQoo8sRERGRHELBKxt8//33bNiwgQ8//JCCBQs+8udj28RmQ1XZy9PV0+gSREREcjwFr2wwYMAA836xfyM3L9mJiIjIvf2nx0mkpaVleeSCiIiIiNzbQwev9PR0Zs2axffffw/A3r17eeWVVwgNDaV79+7mn9IRERERkbt76KXGGTNmEBMTY/7pm7Fjx1KwYEHatm3LvHnzmDJlCn369Mm2Qq3JtrhtRpdgdVJvppIYd+cz33ILT1dPvAt7G12GiIg8wEMHr9WrV9OhQwfCwsKIj4/n2LFjfPzxxzRo0AAXFxemT5+u4PWYhM0OM7oEyWVi28QqeImI5AIPvdR4/vx5KlasCMD27duxtbXl5ZdfBm79wLT2eomIiIjc30MHr8KFC3Px4kUAtmzZQunSpc0/n3Ps2DHc3d2zpUAjrV69msDAQObNm5fleJcuXZgyZco9PxcYGMiOHTuyuzwRERHJZR46eFWvXp3JkyczfPhwtmzZwiuvvALA3LlziY6OpmbNmtlWpFHWrFmDl5cXK1eufKTPrVq1ikqVKmVTVSIiIpJbPXTw6t69O0FBQezdu5fmzZvTokULAJYuXcrLL79Mp06dsq1II1y9epXt27fTsWNHjh8/ztGjRx/6s+7u7jg4OGRjdSIiIpIbPfTm+nz58tG/f/87js+bNw9HR8fHWlROsGHDBvLly0edOnWIjo5mxYoVlC1b1tyemJhI165d2b9/P2XKlGHQoEGULFkSuLXU+PnnnxMYGEhiYiJjxoxh586dXLt2DV9fX3r37s3zzz9vVNdERETEII/8ANUDBw4wY8YMhg8fzu+//87u3btJSkrKhtKMtXr1aoKCgrC3t6datWqsXr2atLQ0c/vKlSupWbMmc+fOpXjx4nTv3j1L+22ffPIJaWlpREdHM2fOHDw8PBg5cqQluyIiIiI5xEMHr7S0NAYMGED79u2Jjo5m2bJlJCUlMXv2bFq3bk18fHx21mlRFy9eZM+ePVSvXh2AmjVrkpSUxJYtW8znVK9enebNm+Pj40Pfvn25cuUK27bd+fyt4OBg+vTpg6+vL08//TTNmjUjLi6OzMxMi/VHREREcoaHDl5RUVFs3ryZoUOHsm7dOnNw6NevH/ny5WPq1KnZVqSlrVmzJsvjMsqXL0+RIkWybLL39/c3v3Z2dqZkyZKcOnXqjms1bdqUX375heHDh9OlSxf69esH3PolABEREbEuD73Ha9WqVXTq1Im6detmCQ3e3t60b9+ezz//PFsKNMKaNWtIS0sjJCTEfCwjI4OffvrJvKxqY2OT5TMZGRl3bKjPyMjgvffe4+rVq4SEhBAcHMzNmzf58MMPs70PIiIikvM8dPBKSkqiVKlSd2178skn88xvNZ45c4bDhw/Tq1cvAgMDzcd///13evXqxerVqwE4ceKEue3PP//kzJkz+Pj4ZLlWXFwce/bsYdWqVebnnC1evDj7OyEiIiI50kMHr5IlS/Ljjz8SFBR0R9vOnTvx8vJ6rIUZZc2aNRQsWJAmTZpk+bZmqVKlCAgIYOXKlRQoUIC1a9dSsWJFnnvuOaZOnUqJEiWyBDUAFxcXbG1tWbt2LTVq1ODQoUNERUUBcOPGDeztH3r4RUREJA946D1eYWFhLFmyhM8++4ytW7diY2PDqVOnmD17NgsWLKB58+bZWafFrFmzhtDQ0Ls+IqNp06YcOXKEEydO0LJlS5YvX87bb7/Nn3/+yejRo7G1zTqcHh4efPjhh8ybN48WLVowa9YsIiIisLe3f6TngomIiEjeYJOUlPTQX6+bM2cO0dHRXL9+3by5Pl++fLz11lt57gGqRvIZ5GN0CZLLxLaJJcj3ztno3MBkMuHn52d0GVZL428cjb2xjBr/R1rreuutt2jSpAn79+8nKSmJggULUr58eVxdXbOrPhEREZE846GD19ChQ3nnnXcoUaIElStXztJ28uRJJk2aRGRk5GMv0BrFtok1ugSrk5qaipOTk9Fl/Guerp5GlyAiIg/hvsFr165dZGRkALee1F6mTBmefvrpO87bunUrv/zyS/ZUaIVy65JRbmYymfDz1ZS/iIhkr/sGr5UrV7Jy5UrzM6siIyOzPHHdxsbG/L5+/frZWKaIiIhI7nff4NW7d28aNmxIZmYm3bp1IyIigtKlS2c5x9bWloIFC951JkxERERE/s99g5eLiwvPP/88AB999BFVq1bFzc3NEnWJiIiI5DkPvbm+YcOGwK0fkL5x44b5eEZGBqmpqezduzfPPMtLREREJDs8dPA6duwYAwYM4OzZs3dtt7GxUfASERERuY+HDl6TJk0iOTmZ7t27s2XLFvLly0fVqlXZsmUL27dvZ8qUKdlZp4iIiEiu99A/GXTgwAE6d+5Mq1atCA0N5dq1azRr1ozIyEiqVq3KV199lZ11ZpvLly8zcuRIGjZsSHBwMM2aNWP69Olcu3bN6NJEREQkj3no4HXz5k1KlCgBgLe3NyaTydzWsGFDDhw48Piry2YXLlzgnXfe4dSpUwwePJgFCxbQo0cPNmzYQJcuXRS+RERE5LF66ODl4eHBb7/9BkDJkiVJTk4mISEBuPV7jVevXs2eCrPR6NGjKVq0KJMmTeKFF17A09OTatWqERUVxcWLF5kxY4bRJYqIiEge8tDBq1atWkyePJnVq1dTuHBhSpUqxZQpUzh69Cjz5883z4blFpcvX2bz5s20adMGe/usW90KFixIy5Yt+fbbb0lPT2fatGk0aNCAqlWr0q5dO/bt2wfcerJ/YGAgaWlp5s8OHjyYjz/+GICoqCgGDBjA6NGjqVmzJq+99hqzZs2yWB9FREQkZ3no4NWhQwdeeOEFVqxYAUDPnj3ZuHEjbdq0YdeuXXTs2DHbiswOR44cISMjg2efffau7RUrVuSPP/5g/vz5LFq0iCFDhrBgwQKeeeYZ+vXrZ/4ppQfZuHEjdnZ2zJo1i9dff53Jkydz8uTJx9kVERERySUe+luNjo6ODB8+3Dy7ExgYyFdffcXhw4d55plnct2M1+2l0YIFC961vVChQgCkp6djb2/PU089RfHixXn33XepUaPGQwevggULEh4ejp2dHe+88w7z5s3j8OHDetK/iIiIFXroGa+hQ4fy22+/ZVmWK168OHXq1OHGjRv06tUrWwrMLreD1aVLl+7afvHiRQBeeuklChcuTJMmTXjnnXdYsGABTz/99B3Lk/dSrFgx7OzszO+dnZ2zLE2KiIiI9bhveti1a5d5ZmflypWUKVPmrjM1W7du5ZdffsmeCrOJv78/dnZ2HD58GA8PjzvaDx06hJubG2XLluXLL79k586dbNmyhW+++YbFixcze/Zs84+H/116enqW9w4ODnec8/cfGhcRERHrcd/gtXLlSlauXGkOGOPGjbvnufXr13+8lWUzNzc3ateuTXR0NFWrVs0yg5WcnMz8+fN59dVX2b59OwkJCbzxxhsEBQXx3nvvUa9ePfbu3WsObCkpKbi6ugIQHx9P8eLFDemTiIiI5Gz3DV69e/emYcOGZGZm0q1bNyIiIihdunSWc2xtbSlYsGCu3LPUs2dPOnfuTPfu3enYsSOenp6cPHmSL774Ag8PDzp27MjOnTuZOHEihQsXply5cuzcuZPr169TpkwZnnzySRwdHZk+fTphYWFs2rSJY8eOKXiJiIjIXd03eLm4uPD8888D8NFHH/H000/j5OSEr68vycnJTJ06lYSEBEJCQihVqpRFCn6c3N3dmTFjBjNnzmTw4MFcvnwZDw8PQkNDeeutt8ifPz/BwcF06dKFiRMnkpiYSIkSJfj000/x9vYGYMCAAUyePJlly5ZRo0YNWrRowYULFwzumYiIiORENklJSQ+14WjHjh307t2bN954g/DwcD7++GPWrl2Lj48PcXFxfPTRRzRo0CC76xXJFiaTCT8/P6PLsEoae2Np/I2jsTeWUeP/0N9qjI6O5rnnnqNNmzb89ddfbNy4kbfeeovY2FhatmxJbGxsdtYpIiIikus9dPA6evQorVq1ws3NjV27dnHz5k1CQkIAqFKlCqdPn862IkVERETygocOXg4ODuZvN27fvp0nnnjCPEV39epVnJ2ds6dCERERkTzioZ9cX65cOb755htcXFxYs2YNtWrVAm49gHTOnDmUK1cu24oUERERyQseesare/fu/Prrr3To0AEHBwfatGkDwJtvvklCQgJdu3bNtiJFRERE8oKH/lYj3HpQ6KlTpyhVqhT58+cHYMOGDQQEBODu7p5tRVqbbXHbjC7B6qSmpuLk5GR0GVZJY28sjb9xXGxcqOBTwegyrJZR32p86KVGuPU7g88++2yWY7eXHOXxCZsdZnQJIiKSzWKaxxhdghjgoZcaRUREROS/eaQZr9wiMDAwy3tXV1eqVatG7969s/3bl7t27aJr165s3bo1y+8/3hYVFcXOnTuZPn16ttYhIiIiOU+eDF4Aw4YNo2LFimRkZHD+/HmGDx/O+PHjGTBggKF1tW7dmhYtWhhag4iIiBgjzy41FipUCHd3d4oWLUqFChVo2bIl69atM7osChQogKurq9FliIiIiAHybPD6pyeeeCLL+5SUFD799FNCQ0OpUqUKzZo1Y8OGDeb2wMBAduzYYX6/YsUKGjZsaH5/9OhROnfuTHBwMI0bN+bbb7/Ncv2lS5fSsGFDqlWrxieffML169eBW0uNHTt2zI4uioiISA5nFcErKSmJBQsWUK9ePfOxyMhITp06xaRJk/jqq6+oVKkSw4YN48aNGw91vXfffRcfHx/mzp1L165dGTlyJHv37jWfs379esaPH8+YMWPYtGkTy5Yty46uiYiISC6SZ/d4RUREYGtrS2ZmJteuXaNQoUJERESY2ytWrEjLli0pXbo0cGvv1bJly7h48SLFixe/77XXrl1LgQIF+OCDD7Czs8Pb25srV66QkZFhPqdPnz48/fTTwK3ZM5PJlA29FBERkdwkzwavvn37EhAQAMCff/7J999/T/v27Zk5cybe3t7Ur1+fH374gaVLl3L69GkOHz4MkCU83UtcXBxlypTBzs7OfKx58+bArW81ApQoUcLc5uLi8lAzaSIiIpK35dmlxiJFiuDl5YWXlxf+/v707t2bwoULm5f8Bg0axPjx4ylYsCBNmjQhMjLyvtdLS0szv77bYyL+ydY269BmZj70DwSIiIhIHpVnZ7zuJjMzk7S0NJKTk1m9ejXTp083z4pt2bLFfA6Ag4MDKSkp5s+eO3fO/LpkyZL88MMPZGRkmAPW0KFDKVq0KC+++KKluiMiIiK5TJ6d8bp69SqJiYkkJiYSHx/P1KlT+e2336hTpw758+fHycmJTZs2ce7cObZv387o0aMBuHnzJgD+/v7Mnz+fM2fOsHnzZlasWGG+dr169fjrr7+IjIzk9OnTrF69mtWrVxMUFGRIX0VERCR3yLPBq3///tSvX5/69evTsmVLduzYwYgRIwgICMDe3p7BgwezadMmWrRoQWRkJO+88w5Fixbl6NGjALz//vtcv36dsLAwZs2aRefOnc3XdnFxITIykoMHD9KqVSuioqIYOHCgefZMRERE5G5skpKStPkoh/EZ5GN0CSIiks1imsdQy7+W0WVYLZPJhJ+fn8Xvm2dnvERERERyGqvaXJ9bxLaJNboEq5OamoqTk5PRZVgljb2xNP7GcbFxMboEMYCCVw4U5KtN+pZmMpnw87X8lLNo7I2m8TeOHqxtnbTUKCIiImIhCl4iIiIiFqLgJSIiImIhepxEDrQtbpvRJVgdbTA2jsbeWBp/42jsjeVi40IFnwoWv6821+dAYbPDjC5BREQkT4tpHmPIfbXUKCIiImIhVjXjFRgYmOW9q6sr1apVo3fv3jg7OxtUlYiIiFgLq5vxGjZsGKtWrWLFihWMGzeOw4cPM378eKPLEhEREStgdcGrUKFCuLu7U7RoUSpUqEDLli1Zt26d0WWJiIiIFbCqpca7eeKJJ7K8z8jIYN68eSxZsoTExET8/f2JiIigTJkywK3lynbt2rFkyRL8/Px45ZVXWLZsGf/73/9YuHAhdnZ2hISE0LNnT2xtb+XaFStWMGfOHM6dO4evry/h4eG88MILFu+riIiIGMvqZrz+LikpiQULFlCvXj3zsejoaObNm0evXr348ssv8fT0JDw8nJSUFPM5P/74I9OnT6d3794AHDx4kLi4OKKioujatSsLFy5k+/btwK3QNWrUKN5++23mzp3L//73P3r27Mnvv/9u2c6KiIiI4awueEVERFC9enWqVatG3bp1OXLkCM2bNwcgMzOThQsX0qFDB6pVq4avry8DBgzA3t6eVatWma/RuHFjvL29KVWqFADp6en069cPHx8fXnvtNfz8/Dh06BAACxYs4I033qBBgwZ4e3vz7rvv4ufnx8KFCy3feRERETGU1S019u3bl4CAAAD+/PNPvv/+e9q3b8/MmTNxcXHh6tWrlC9f3ny+vb095cqV49SpU+ZjxYoVy3JNNzc3XFz+71fmnZ2dSUtLA+DUqVO0a9cuy/kVKlQgLi7ucXdNREREcjirC15FihTBy8vL/N7f35+tW7eybNmyOwLSbRkZGaSnp5vfOzo6Zml3cHC44zOZmZl3Pff29TIyMv5V/SIiIpJ7Wd1S491kZmaSlpaGi4sL7u7uHDhwwNyWlpbGkSNH8Pb2/lfX9vb2znI9gAMHDvzr64mIiEjuZXUzXlevXiUxMRGA69evs3z5cn777Tfq1KkDQKtWrYiOjqZo0aKULFmSL7/8kmvXrlG3bt1/db9WrVoxePBgnn76acqXL8+KFSs4duwYAwcOfGx9EhERkdzB6oJX//79za8dHR3x8/NjxIgR5n1fYWFhpKSkMHz4cJKTk6lQoQLTpk3jySef/Ff3q1WrFomJiURFRXHp0iXKlCnDpEmTzBvzRURExHrYJCUlZRpdhGTlM8jH6BJERETytJjmMdTyr2Xx+2qPl4iIiIiFWN1SY24Q2ybW6BKsTmpqKk5OTkaXYZU09sbS+BtHY28sFxuXB5+UDRS8cqAg3yCjS7A6JpMJP18/o8uwShp7Y2n8jaOxN5bJZDLkvlpqFBEREbEQBS8RERERC9FSYw60LW6b0SVYndSbqSTGJRpdhlVycTBmn4WIiBEUvHKgsNlhRpcgYjExzWOMLkFExGK01CgiIiJiIQpeIiIiIhai4PUQunTpwpQpU4wuQ0RERHI5BS8RERERC1HwEhEREbEQfavxEaxYsYJly5ZRpUoV5s6di4ODAz179sTOzo6JEyfy119/0bRpU7p16wbA9evXmT59Ot9//z1Xr17lxRdfpE+fPhQrVszgnoiIiIgRNOP1iA4dOsSZM2eYNWsWderUYfjw4SxatIjIyEi6devGrFmzOH78OAAjRoxg48aNDBo0iJiYGNLT04mIiCA9Pd3gXoiIiIgRFLweUUZGBu+//z5eXl40btyY1NRUOnXqROnSpWnatCkuLi6cOnWKq1ev8t133xEREcGLL75I6dKlGTJkCL/99hvbtukBqSIiItZIwesRubq64uzsDICjoyNAlqXDfPnycfPmTc6cOUNGRgbPPvtsls96e3tz6tQpi9YsIiIiOYOC1yOyt79zW5yNjc0dx/Lly3fXz6enp2upUURExEopeGUTLy8v7OzsOHjwoPlYUlISZ8+exdvb28DKRERExCj6VmM2cXJyokmTJowdO5Z8+fLh5ubG559/TtGiRQkKCjK6PBERETGAglc26t69OwB9+/YlLS2Nl156icmTJ5v3homIiIh1sUlKSso0ugjJymeQj9EliFhMTPMYavnXMroMq2UymfDz8zO6DKuksTeWUeOvPV4iIiIiFqKlxhwotk2s0SVYndTUVJycnIwuwyq52LgYXYKIiMUoeOVAQb7afG9pJpMJP19N+RvBZDIZXYKIiMVoqVFERETEQhS8RERERCxES4050LY4/ZajpaXeTCUxLtHoMqySi4P2eImI9VDwyoHCZocZXYKIxcQ0jzG6BBERi9FSo4iIiIiF5PkZr8DAwCzvXV1dqVatGr1798bZ2dmgqkRERMQaWcWM17Bhw1i1ahUrVqxg3LhxHD58mPHjxxtdloiIiFgZqwhehQoVwt3dnaJFi1KhQgVatmzJunXrjC5LRERErIxVBK9/euKJJ7K8z8zMZMaMGTRo0ICaNWvSo0cPzpw5Y24PDAxk5cqVvPnmm1SvXp2uXbvy22+/AbBr1y4CAwNJS0sznz948GA+/vhj8/tNmzbRokULgoODeeutt9i2Td9aFBERsUZWF7ySkpJYsGAB9erVMx9buHAhq1atYtCgQcycORMvLy/effddrl27Zj4nOjqanj17MmXKFC5dusTkyZMf6n7Hjh1j0KBBtGnThtjYWBo3bswHH3zAsWPHHnvfREREJGfL85vrASIiIrC1tSUzM5Nr165RqFAhIiIizO1z5swhIiKCl156CYD333+fLVu2sGHDBurXrw9Ay5YtzRv1mzZtSmzsw/2e4rx583j11VfN1ylRogQHDx5kwYIFfPTRR4+zmyIiIpLDWUXw6tu3LwEBAQD8+eeffP/997Rv356ZM2dSpEgRLly4wMcff4yt7f9NAN64cSPLcmOJEiXMr52dnbMsLd5PXFwcJ06c4NtvvzUfS0tLw9/f/792S0RERHIZqwheRYoUwcvLy/ze39+frVu3smzZMt555x0APvvsM3x9fbN8rmDBgubXDg4Od722jY3NHcfS09OzvG7VqhWvvvpqlnPy5cv36B0RERGRXM3q9njdlpmZSVpaGgULFqRw4cIkJibi5eWFl5cXnp6eTJ48+aH2Ydnb38quKSkp5mPx8fHm197e3pw7d858bS8vL7777js2bdr02PskIiIiOZtVBK+rV6+SmJhIYmIi8fHxTJ06ld9++406deoAEBYWxrRp09i0aRNnz55l1KhR7Nix444ZsLt5+umncXR0ZPr06cTHxzNv3rwsgS0sLIz169czf/58zp49y9dff83MmTMpXrx4tvVXREREciarWGrs37+/+bWjoyN+fn6MGDHCvO+rdevWXLt2jdGjR3P16lXKli3LxIkTKVKkyAOv7eLiwoABA5g8eTLLli2jRo0atGjRggsXLgBQoUIFhgwZQnR0NF988QXFihXjo48+omrVqtnTWREREcmxbJKSkjKNLkKy8hnkY3QJIhYT0zyGWv61jC7DaplMJvz8/Iwuwypp7I1l1PhbxVKjiIiISE5gFUuNuU1sm4d7Rpg8PqmpqTg5ORldhlVysXExugQREYtR8MqBgnyDjC7B6phMJvx8NeVvBJPJZHQJIiIWo6VGEREREQtR8BIRERGxEC015kDb4rYZXYLVSb2ZSmJcotFlWCWNvbE0/sbJ7WPv6eqJd2Fvo8vIdRS8cqCw2WFGlyAiInJfsW1iFbz+BS01ioiIiFiIgpeIiIiIheTapcbAwMAs711dXalWrRq9e/fG2dk5W++9a9cuunbtytatW80/ki0iIiLyILl6xmvYsGGsWrWKFStWMG7cOA4fPsz48eONLktERETkrnJ18CpUqBDu7u4ULVqUChUq0LJlS9atW2d0WSIiIiJ3lauD1z898cQTWd6npKTw6aefEhoaSpUqVWjWrBkbNmwAYPbs2bRo0SLL+V9//TVvvvkmAMnJyQwaNIiaNWtSr149hg0bRkpKyl3vu3jxYho3bkzVqlV588032bx5s7lt3759dOzYkeDgYKpVq0aPHj24cOHC4+y2iIiI5BJ5JnglJSWxYMEC6tWrZz4WGRnJqVOnmDRpEl999RWVKlVi2LBh3Lhxg7p163Lq1ClOnDhhPn/dunXUrVsXgKFDh3LlyhWioqKIjIzk9OnTDBky5I77Hj16lHHjxtGrVy8WLVpEnTp16N+/P3/++ScpKSn07t2bwMBAvvrqKyZNmkR8fDwzZ87M/gERERGRHCdX7wyPiIjA1taWzMxMrl27RqFChYiIiDC3V6xYkZYtW1K6dGkAWrduzbJly7h48SLFixcnICCA9evXU6pUKS5dusTevXsZOHAgv/32G5s2bWLNmjW4uroCMGjQIBo1asT58+ez1HDu3DlsbGwoVqwYxYoVo23btvj7++Pg4EBycjJt27alVatW2NjYULx4cWrVqsW+ffssN0giIiKSY+Tq4NW3b18CAgIA+PPPP/n+++9p3749M2fOxNvbm/r16/PDDz+wdOlSTp8+zeHDhwHIyMgAIDQ0lIULF9KpUyfWr19PuXLlKF68OJs3byYzM5PXXnvtjnuePn0aOzs78/ugoCCee+45WrduTalSpQgODqZRo0bkz5+f/Pnz07BhQ+bPn8+xY8eIi4vDZDJRvnx5C4yOiIiI5DS5OngVKVIELy8v83t/f3+2bt3KsmXL6NGjB4MGDeLXX3+lfv36NGnSBHd3d9q3b28+v06dOowdO5YTJ06wfv16QkNDAUhPT8fJyYm5c+fecU93d3cOHTpkfp8/f36++OIL9u7dy08//cSGDRtYtGgRUVFRuLq60qZNG8qWLUvlypVp3LgxW7Zs4ddff83GUREREZGcKlcHr7vJzMwkLS2N5ORkVq9ezfTp082zYlu2bDGfA+Dm5kZgYCDfffcdBw4c4LPPPgPA29ub1NRUMjIy8Pa+9XMIZ8+eZfz48fTr1y/L/fbt28fOnTtp3749lSpV4t133+WNN95g69atODk54ezsnOURFwsXLjTfX0RERKxLrg5eV69eJTHx1g+MXr9+neXLl/Pbb79Rp04d8ufPj5OTE5s2bcLd3Z0zZ84wevRoAG7evGm+RmhoKMOHD6dixYq4u7sD4OvrS1BQEJ988gnvv/8++fLlY+TIkWRkZODu7s7p06fNn8+fPz/R0dE88cQTVK5cmWPHjnHhwgXKlSvHH3/8wcWLF/n5558pUaIE69atY+PGjZQpU8aCoyQiIiI5Ra4OXv379ze/dnR0xM/PjxEjRphnuAYPHsyECRNYtGgRnp6evPPOO0yfPp2jR49SqlQpAGrUqMGwYcPM32a8bfDgwYwdO5bu3btjY2NDYGAg77///h01lClThk8++YSYmBjGjRuHu7s74eHhBAYGkp6ezp49e8x1+vv706tXL6ZMmcK1a9fInz9/dg2NiIiI5EA2SUlJVr3ulZCQQPPmzVm1ahUFCxY0uhwAfAb5GF2CiIjIfcW2iSXIN8joMv41k8mEn5+fxe+bq2e8/ovU1FS2bt3K8uXLqVmzZo4JXSIiIpJ3WW3wsrGxYdiwYTz11FNZlixzgtg2sUaXYHVSU1NxcnIyugyrpLE3lsbfOLl97D1dPY0uIVey+qVGETBuylk09kbT+BtHY28so8Y/z/xkkIiIiEhOp+AlIiIiYiFWu8crJ9sWt83oEqyOi4OL0SWIiIgVUPDKgcJmhxldgtWJaR5jdAkiImIFtNQoIiIiYiEKXvfQqFEjAgMD7/pn06ZNNGrUiKVLl97zs7fb/vrrL1asWHHXNhEREbEuWmq8j/DwcEJDQ+84XqhQISIjI+/5uVmzZpmfzTJv3jx27NhBw4YN72gTERER66LgdR/Ozs7mH85+FE888YT5dWZm5j3bRERExLpoqfExOHz4MDVq1GDhwoXA/y0nrlixgujoaH799VcCAwOztImIiIj10YzXfxQfH0+vXr1o3bo1zZs3z9JWp04dTpw4wd69exk9erRBFYqIiEhOoeB1H2PGjLljL1fBggXNm+WTkpLo0aMHdevWpUOHDnd8Pn/+/Dg5OWFvb/+vlixFREQkb1Hwuo8OHTpQu3btLMdsbf9vdTY6OpqbN2/y1FNPWbo0ERERyYUUvO7Dzc0NLy+ve7YHBgZStWpVJk2aREhICEWKFLFgdSIiIpLbaHP9f1CtWjUaN25MyZIlmTBhwl3PsbGxsXBVIiIiklMpeN1HSkoKiYmJd/xJSUkxn2Nra0tERARr165lx44dd1yjQIECJCYmEh8fb8nSRUREJAfSUuN9TJgw4a4zWa1atcryPiAggHr16jFmzBjmzZuXpa1mzZosWbKEli1bsmzZsmytV0RERHI2m6SkpMwHnyaW5DPIx+gSrE5M8xhq+dcyugyrZDKZ8PPzM7oMq6XxN47G3lhGjb+WGkVEREQsREuNOVBsm1ijS7A6LjYuRpcgIiJWQMErBwryDTK6BKtjMpmMLkFERKyAlhpFRERELETBS0RERMRCtNSYA22L22Z0CVYn9WYqiXGJRpdhlTT2xtL4G8fFQXtLrZGCVw4UNjvM6BJERCSbxTSPMboEMYCWGkVEREQsRMFLRERExEIMC16rV68mMDDwjp/Y6dKlC1OmTLFoLYMHD+bjjz8GYNeuXQQGBpKWlmbRGkRERCTvMyx4rVmzBi8vL1auXGlUCSIiIiIWZUjwunr1Ktu3b6djx44cP36co0ePGlGGiIiIiEUZErw2bNhAvnz5qFOnDiVLlmTFihV3PS8hIYH69eszYcIE5s+fT+vWrc1tmzZtIjAw0Bza0tPTqV27Nr/++itpaWlMnDiRhg0bEhQUxGuvvcbixYsfqcbFixdTt25dQkJCiInJ+s2TzZs389ZbbxEcHEzz5s1Zt26dua1Lly7Mnj2b9957j+DgYN555x1+++03PvvsM6pXr07Tpk3Zu3fvI9UiIiIieYMhwWv16tUEBQVhb29PtWrVWL169R17qpKSkggPDycoKIjw8HAqV66MyWTiypUrAOzevRsbGxt+/fVXAA4fPgxA+fLlmT17Nj/++CPDhw9n8eLFNGzYkLFjx3Lx4sVHqnHSpEl89NFHzJs3j6VLlwKwc+dOPvzwQ+rXr8/cuXNp3LgxH330EQcPHjR/dubMmTRq1IjZs2dz9epV2rRpQ9GiRZk1axYlS5Zk3Lhx/2X4REREJJeyePC6ePEie/bsoXr16gDUrFmTpKQktmzZYj7n+vXrRERE8PTTT9O/f38Ann76aYoWLcqePXsA2LNnD1WqVGHfvn0A/PzzzwQGBmJnZ0epUqUYMGAAFSpUoHjx4rRt25b09HROnz790HUOGDCAsmXLUq1aNVq2bMmSJUsAWLRoETVq1CAsLAxvb2/efPNNatWqxZw5c8yfDQoKIiQkhKeffprg4GCcnZ3p2LEjvr6+vPbaa5w6deo/jaGIiIjkThYPXmvWrMHW1paXX34ZuDVDVaRIkSyb7BcvXsyBAwcoUqQIdnZ25uP/+9//2L17N8nJyZw+fZrmzZubZ7x27NhBlSpVAKhRowY3btxg/Pjx9OrVi0aNGgGQkZHxUDXmy5eP0qVLm98/88wz5tB26tQpnn322SznBwQEZAlTxYsXN792dHTkqaeeMr/Pnz8/N2/efKg6REREJG8xJHilpaUREhJCUFAQVapUITExkZ9++omkpCQASpUqxciRI1m8eDHHjh0zf7Zy5crs2rWLPXv2UK5cOSpVqsSlS5c4efIkBw4coHLlygBMmTKFjz76CDs7O1555ZU79mg9iI2NTZb3GRkZ2Nvfesh/vnz57jg/PT09S6j7e1gEsLXV49JERETEwj8ZdObMGQ4fPkyvXr0IDAw0H//999/p1asXq1evBm4FrBo1ahAcHMzIkSOJjo7GxsaGwMBAPvroI3744QcqVqxI/vz5eeaZZ4iJicHHx4ciRYoAsGTJEt5//31CQ0MBOHnyJACZmZkPVef169f57bffKFGiBAAHDx7Ex8cHAB8fnyz7uQD2799PyZIl//3AiIiIiFWw6FTMmjVrKFiwIE2aNKFUqVLmPy+//DIBAQF3PNMrPDycY8eOsXz5cgAKFSpEuXLl+O6776hYsSIAlSpVYu3atQQFBZk/5+rqyk8//UR8fDy//vorgwYNAuDGjRsPVaetrS2DBw/m6NGjrF+/noULF9KqVSsA3nzzTTZu3EhsbCxnzpwhNjaWTZs28cYbb/zH0REREZG8zuLBKzQ0FEdHxzvamjZtypEjRzhx4oT5WPHixWnVqhWff/65+duMlStXJiMjg4CAAOBW8MrMzMwSvD766CNOnDhBy5YtGTRoELVr16Z8+fJZli3vp2DBglSrVo1u3boxevRoOnbsSK1atQDw9/dn6NChfPPNN4SFhbF8+XKGDRvG//73v389LiIiImIdbJKSkh5u/U0sxmeQj9EliIhINotpHkMt/1pGl2G1TCYTfn5+Fr+vdn2LiIiIWIhFN9fLw4ltE2t0CVYnNTUVJycno8uwShp7Y2n8jeNi42J0CWIABa8cKMg36MEnyWNlMpnw87X8lLNo7I2m8TeOyWQyugQxgJYaRURERCxEwUtERETEQrTUmANti9tmdAlWJ/VmKolxiUaXYZU09sZycdA+IxFLUvDKgcJmhxldgohYiZjmj/aTaiLy32ipUURERMRCFLxERERELCTPB6+lS5fSqFEjzp07R2BgIGfPnjW6JBEREbFSVrPHy8PDg1WrVvHEE08YXYqIiIhYKasJXnZ2dri7uxtdhoiIiFixPL/UeNs/lxqTkpL44IMPqF69Oo0bN+brr78mMDDQfP6+ffvo2LEjwcHBVKtWjR49enDhwgWSkpKoXLkyx44dAyAzM5M6deowduxY82dHjx7NZ599BsDmzZt56623qFq1KjVr1qR///4kJydbsOciIiKSU1hN8PqngQMHcvnyZaZPn06fPn2Ijo42t6WkpNC7d28CAwP56quvmDRpEvHx8cycORM3NzeeeeYZdu3aBdz6yYc///yTX3/91fz5nTt3UqVKFeLj4+nbty9NmjRh4cKFDB8+nF9++YUlS5ZYvL8iIiJiPKsMXqdPn2bHjh189NFHlClThpdffpmOHTua21NTU2nbti0dOnSgePHiPPfcc9SqVYuTJ08CULlyZXPw2rNnD1WqVMFkMpGamsr58+c5e/YsL730Eunp6fTu3ZvXX38dT09PKleuTGBgoPk6IiIiYl2sZo/X3x0/fhxnZ2e8vb3NxypUqGB+7e7uTsOGDZk/fz7Hjh0jLi4Ok8lE+fLlgVvBa/HixWRkZLB7927q1KnDiRMn2L9/P+fPnycgIAAXFxdcXFzIly8fMTExnDx50vynbt26Fu+ziIiIGC/PzXhdunSJ06dPZzlmZ2d33/dwa6/WbRcuXCAsLIydO3dSrlw5evXqRatWrczt5cuXJyMjA5PJxJ49e6hYsSIVK1Zk3759/PzzzwQFBQFw7NgxWrRowcmTJ6lYsSIDBw4kJCTkcXZXREREcpE8N+M1d+5cTpw4wcSJEwFITk7Gzc0tyzm+vr6kpKRw5swZSpYsCcCRI0fM7Zs2bcLZ2Znx48ebjy1cuNAczuzt7XnxxRf5+uuvyZcvH8WLF6dixYqsX78ek8nE22+/DcB3331HQEAAn376qfk6Z8+excvr/7V353FVVfv/x1/ILCpqZIoiEGlOoFiRmICkhhVJOaVpTomZEyE53xQ1rVTUxJsTeRNRKr11/YWWaOltsrjimGigTM6KXhwhxt8ffj030kxMzwHO+/l48JCz19p7f/YH9Hxca529Xe7FpYuIiEgFV+VGvLy9vdm9ezc//fQTBw4c4NNPPy3zaUUAV1dX2rVrx6xZs0hNTSUpKYnly5cb2h0dHTl79iw//fQTx48fZ9WqVWzbto2CggJDn3bt2rFx40batGljOO/OnTuxtLSkSZMmhuOkp6fz888/k52dzcKFC0lJSaGwsPDeJ0JEREQqnCo34uXv70+/fv2IjIwkPz+fwMBABg0axPnz58v0mzp1KrNmzeKVV14xrOlavXo1AJ07d2b37t1MnjwZgBYtWhAeHs6SJUvIz8/Hzs6Odu3aUVhYaCi83N3dqV27Nu3atcPCwgKAF198kV9++YXRo0djbW2Nt7c3Q4cO5csvvzReQkRERKTCsMjNzS39825VS35+PklJSbRv3x4rq2u159atW4mOjmbDhg0mjg7cIt1MHYKImImVvVfyZIsnTR2GWUpLSzPMkIjxmSr/VW7E63bY2Ngwc+ZMunfvTrdu3Th37hwxMTF06tTJ1KEBED8w3tQhmJ28vDzs7e1NHYZZUu5Nq4ZFDVOHIGJWzLLwqlatGnPnzmXRokWsXbsWBwcHnn76aYYPH27q0ADwdfc1dQhmJy0tjSbu+p+nKSj3ppWWlmbqEETMilkWXgBt2rRh5cqVpg5DREREzEiV+1SjiIiISEWlwktERETESMx2qrEi25Gxw9QhmJ28wjxyMnJMHYZZUu5Nq7Ln39nRGde6rn/eUaSCUOFVAfVd1dfUIYiIVArxA+NVeEmloqlGERERESMx68IrJCSEIUOGlHlANkBycjI+Pj4UFRXh4+NDUlKSiSIUERGRqsSsCy+An3/++ZZ3q9+0aRPe3t5GjEhERESqKrMvvBo0aMDixYvJzc29abuTkxPW1tbGDUpERESqJLMvvF566SUcHByIjo6+aftvpxrz8/N56623CAwM5Nlnn2XDhg34+vpy4sQJAC5fvkxkZCSBgYF07dqV2bNnc+XKFeDa9GVwcDBz584lMDCQ5cuXG+cCRUREpMIw+8LL1taWsWPHkpCQwN69e2/ZNyoqir179/Lee+8xa9YsVq9eTXFxsaF95syZXLhwgeXLl7NgwQKysrKYMWOGof3MmTNcvnyZ1atXExwcfM+uSURERComsy+8AAICAujQoQPvvvsuRUVFN+1z9epVNm3aREREBF5eXrRp04aIiAhD+7Fjx9i+fTuRkZE0adKE5s2bExkZybZt2zh9+rSh34ABA2jUqBHOzs73/LpERESkYtF9vP5PREQEL774Ih9//DHNmjW7oT0zM5PCwkJatGhh2Obp6Wn4PiMjg9LSUrp163bDvllZWVhaWgLX1pSJiIiIeVLh9X+cnZ0ZPHgwMTExTJgw4YZ2K6trqfr9rSeuKy4uxt7enri4uBvanJycSElJAcDGxuYuRi0iIiKViaYaf+Pll1/GycmJJUuW3NDWqFEjrK2tOXTokGHbwYMHDd+7urqSl5dHSUkJLi4uuLi4ALBw4ULDAnsRERExbyq8fsPa2ppx48Zx8uTJG9qqV69OcHAwCxYsYP/+/ezfv5+oqCgALCwscHd3x9fXl2nTpvHzzz+TmppKZGQk58+fx8nJydiXIiIiIhWQCq/f8fHx4amnnrppW1hYGE2bNmXUqFFMnDiRrl27Ahju8zV9+nRcXFwYPXo0w4cP5/7772fu3LlGi11EREQqNovc3NybL1qSG2zfvh0fHx+qV68OQEpKCkOHDuWbb74xrAG7G9wi3e7asUREqrL4gfH4uvuaOow7kpaWRpMmTUwdhtkyVf61uL4cYmJi+Pbbbxk0aBBXr15l0aJF+Pv739WiS0RERKouVQzlMGPGDObNm8fLL7+MlZUVAQEBhIeH3/XzxA+Mv+vHlFvLy8vD3t7e1GGYJeXetCp7/p0ddU9EqVw01SiChvxNSbk3LeXfdJR70zJV/rW4XkRERMRIVHiJiIiIGInWeFVAOzJ2mDoEs5NXmEdORo6pwzBLyr1pVfb8Ozs641rX1dRhiNw2FV4VUN9VfU0dgohIpRA/MF6Fl1QqmmoUERERMRIVXiIiIiJGUiELr82bN+Pj48OaNWtu2e/o0aP4+Phw4sQJI0UmIiIicucqZOGVmJiIi4sLGzduNHUoIiIiIndNhSu8Ll68yI8//khoaCiHDx/ml19+MXVIIiIiIndFhSu8vv76a2xsbOjcuTONGzcmISHB0FZUVMTcuXN58sknCQ4OZseOsrddyMzMJCwsjI4dO9KhQwdCQ0M5cuQIAMnJyQQHB/P555/TtWtXOnXqxJo1a0hOTqZXr1507NiRGTNmUFJSAsCVK1d46623CAoKon379vTs2ZOvv/4agDfeeIP58+cbzjt//nw6depEaem1hwAcPHiQgIAACgsLycnJYeLEiXTq1IknnniC/v37s2vXrnuaQxEREamYKlzhtXnzZnx9fbGyssLf35/NmzdTVFQEwPLly/nuu++YN28es2fP5pNPPjHsV1paSkREBPXr1ycuLo6YmBiKi4uJjo429Dl37hxff/01S5cuZcCAASxevJj33nuPadOmMW3aNL744gu+//57ABYsWEBmZibR0dF89NFHeHt7M3v2bAoKCmjXrh3JycmG4+7atYvLly+Tnp4OQFJSEo8++ijW1tZMmzaNoqIiYmJiWL16NQ888ADvvvuuMVIpIiIiFUyFKrzOnj3L7t27CQgIACAwMJDc3Fy+//57SktL2bBhA6GhobRt2xYvLy/CwsIM++bn5xMSEkJYWBiNGjWiWbNmBAcHG4ohgOLiYkaPHo2bmxs9e/akuLiYXr160apVKwIDA3F3dyczMxOANm3aMHHiRJo2bUrjxo3p378/Fy9e5OzZs7Rr147Dhw9z4cIFLl26xLFjx2jbti179+4FrhVevr6+APj5+TFu3Djc3d158MEH6dmzJxkZGYbRMRERETEfFeoGqomJiVSrVo0nnngCgFatWnH//fezceNGvLy8+O9//1vmgZbNmzc3fG9vb0/Pnj3ZtGkTBw8eJCsri19++QVHR8cy52jYsCEAtra2ANSvX9/QZmdnR0FBAQDPPPMM//73v/nXv/5FVlYWBw8eBKCkpAQXFxcaNmzI7t27sbS0pHnz5nh7e7N3716eeeYZ9u3bx+TJkwHo0aMHiYmJ7Nu3j6ysLA4dOgRcKwKtrCpU+kVEROQeq1Dv/ImJiRQVFdGlSxfDtpKSEr777jvD69+OFP22cLl69SqDBg2iVq1aBAQEEBQURGZmJrGxsWXOYWlpWeZ1tWo3H/SLjIw0FFLdu3fHycmJV155xdDerl07du3ahaWlJd7e3rRp04ZNmzaxZ88eHnjgARo2bEhJSQmjRo3i4sWLdOnSBT8/PwoLC5kwYcKdJUhEREQqtQpTeGVnZ3Pw4EHCw8Px8fExbD916hTh4eEkJiZSt25dUlJSaNasGQCpqamGfsnJyZw+fZq1a9caCrIff/zxjqb0Ll++zObNm1mxYgVeXl4AhrVf14/Xrl07li5diq2tLa+99hqenp6cPn2ahIQE2rdvD0BGRga7d+9m06ZNODk5AbB+/fpyxyMiIiJVQ4UpvBITE6lZsybdu3c3TAMCeHh44OXlxcaNG+nVqxcrVqygYcOG1KxZk4ULFxr6OTo6kp+fz7Zt22jZsiVJSUmsW7cOOzu7csdiZ2eHvb0927dvx8nJiezsbObOnQtAYWEhAI8++ijZ2dlYWFjg6emJvb09zZo1Y8uWLYa4atSoQbVq1diyZQsdO3YkJSWF5cuXA1BQUKCpRhERETNTYRbXJyYmEhQUVKbouq5Hjx4cOnQIf39/goODmTJlCmPHjuWFF14w9PHy8mLo0KHMmzePfv36kZCQwIQJE7hw4QKnTp0qVyxWVlZMnz6d7du38+KLL7JgwQIGDx5MvXr1DPcVq169Oq1atcLDwwN7e3sAvL29sbGxwdvbG4AHHniACRMmsGbNGl588UU+/PBDIiIisLKy0v3JREREzJBFbm6uPl5XwbhFupk6BBGRSiF+YDy+7r6mDuOOpKWllfnAmBiXqfJfYUa8RERERKo6LTKqgOIHxps6BLOTl5dnmDIW41LuTauy59/Z0dnUIYiUiwqvCqiyDptXZmlpaTRx15C/KSj3pqX8ixiXphpFREREjESFl4iIiIiRaKqxAtqRscPUIZidGtY1TB2CiIiYARVeFVDfVX1NHYLZWdl7palDEBERM6CpRhEREREjqVSF1+bNm/Hx8WHNmjUmi2H48OEsWbLEZOcXERGRyqtSFV6JiYm4uLiwceNGU4ciIiIiUm6VpvC6ePEiP/74I6GhoRw+fFjPOhQREZFKp9IUXl9//TU2NjZ07tyZxo0bk5CQYGgbPnw4H3zwAWPGjMHPz4++ffvy/fffG9ozMzMJCwujY8eOdOjQgdDQUI4cOQJAcnIywcHBfP7553Tt2pVOnTqxZs0akpOT6dWrFx07dmTGjBmUlJQYjpeTk8Nrr71Ghw4dGDJkCNnZ2YY2Hx8fli5dylNPPcXIkSMB+Pzzz+nduzft27enS5cuvPPOOxQVFd3rlImIiEgFU2kKr82bN+Pr64uVlRX+/v5s3ry5TPHy4Ycf8tRTTxEbG4urqyuzZs2iuLiY0tJSIiIiqF+/PnFxccTExFBcXEx0dLRh33PnzvH111+zdOlSBgwYwOLFi3nvvfeYNm0a06ZN44svvihTyG3cuJHAwEDi4uJo2LAho0ePLhPLN998w4oVKxg7dix79uxhzpw5vPbaa/zzn/9k4sSJJCQksG3bNuMkTkRERCqMSlF4nT17lt27dxMQEABAYGAgubm5ZYqh9u3bExwcjLu7O6+88go5OTmcPXuW/Px8QkJCCAsLo1GjRjRr1ozg4GDS09MN+xYXFzN69Gjc3Nzo2bMnxcXF9OrVi1atWhEYGIi7uzuZmZmG/gEBAfTu3Rs3NzcmTpzIhQsX2LHjf/feev7553F1dcXDwwNbW1umTJlCYGAgDRo0oFOnTjRt2pSMjIx7nzgRERGpUCrFfbwSExOpVq0aTzzxBACtWrXi/vvvZ+PGjYZirGHDhob+Dg4OABQVFWFvb0/Pnj3ZtGkTBw8eJCsri19++QVHR8cy57i+v62tLQD169c3tNnZ2VFQUGB43aJFizLnaty4MZmZmfj5+QHQoEEDQ3vz5s2xtbVl+fLlpKenc/jwYY4ePcpjjz321xMjIiIilUqlKbyKioro0qWLYVtJSQnfffcdubm5AFhbW9+wX2lpKVevXmXQoEHUqlWLgIAAgoKCyMzMJDY2tkxfS0vLMq+rVfvjwUALC4syr0tKSsqc/3rxBrBjxw7GjRvHM888Q7t27Rg6dCjvvvvun1+0iIiIVDkVvvDKzs7m4MGDhIeH4+PjY9h+6tQpwsPD2bx58y33T05O5vTp06xduxYrq2uX++OPP1JaWnrHMV1fmA9w6dIlsrOzcXNzu2nfDRs28OyzzzJp0iTg2ijc8ePH8fb2vuPzi4iISOVU4QuvxMREatasSffu3cuMJHl4eODl5cXGjRupXr36H+7v6OhIfn4+27Zto2XLliQlJbFu3Trs7OzuOKYtW7bQpk0bWrduzdKlS2nUqFGZovD359+/fz9paWlUq1aNVatWkZOTQ2Fh4R2fX0RERCqnCr+4PjExkaCgoDJF13U9evTg0KFDZUagfs/Ly4uhQ4cyb948+vXrR0JCAhMmTODChQucOnXqjmLq06cPn3/+OQMGDODSpUvMnTv3D6cmQ0NDue+++3jllVcYNWoU1tbW9OrVS/chExERMUMWubm5dz7nJveEW6SbqUMwOyt7r+TJFk+aOgyzlJaWRpMmTUwdhtlS/k1HuTctU+W/wo94iYiIiFQVFX6NlzmKHxhv6hDMTg2LGqYOQUREzIAKrwrI193X1CGYnbS0NFOHICIiZkBTjSIiIiJGosJLRERExEg01VgB7cjY8eed5K7KK8wjJyPH1GGYJeXetCp7/p0dnXGt62rqMERumwqvCqjvqr6mDkFEpFKIHxivwksqFU01ioiIiBiJCi8RERERI6mShVdRUREffPAB3bt354knnuDZZ59l9uzZnD9//rb29/HxISkp6Y7OvXPnzls+wkhERETMV5UsvN5//30SExOZMGEC69ev56233uLw4cO8/vrrlJbe2yckjRgxgnPnzt3Tc4iIiEjlVCULr//3//4fw4YN4/HHH6dBgwZ4e3szc+ZMDh06xM8//2zq8ERERMRMVcnCy8LCgp07d1JcXGzY1rBhQz766COaNGlCSUkJq1ev5oUXXsDPz49XX32V1NTUmx7r+++/p0OHDmzfvh2AixcvMnv2bLp27UpgYCBvvvkmFy5cACAkJASAUaNGsXz5cgD27dtHaGgo/v7+hISEsG7dunt45SIiIlKRVcnCq0+fPvzzn/8kJCSEWbNmkZiYyKVLl3jwwQexs7MjJiaGNWvWEB4eTmxsLM7OzoSFhXHlypUyxzlw4ABTpkxh4sSJdOzYEYDx48eTmppKVFQUf//738nKyiIyMhKADz/8EIDZs2fTv39/MjIyGDlyJN7e3qxevZrQ0FCio6PZunWrEbMhIiIiFUWVvI/XK6+8QuPGjVm/fj0JCQls2LABW1tbhg0bRv/+/fnkk08YPnw4/v7+AEyZMoUXXniBTZs20atXLwCys7NZsWIFw4cPJzg4GLj2PL9du3bx8ccf4+7uDsDMmTPp1asXR44cwcPDA4BatWpRvXp1/vWvf/HQQw8xYsQIAFxdXcnMzGT16tV07tzZ2GkRERERE6uShRdAly5d6NKlC5cuXSIpKYnPPvuM6Oho6tSpw8WLF2nVqpWhr5WVFc2bNyczM9OwbeHChRQWFvLAAw8YtmVmZuLg4GAouuBaMVWrVi0yMzMNhddv+7ds2bLMNi8vL9avX3+Xr1ZEREQqgyo31ZiWlkZUVJThdc2aNenUqRPR0dE0b96cXbt23XS/kpKSMmvCnnvuOQYPHsyCBQvIz88HwMbG5qb7FhcXU1JScsP2m/UvLi4ucx4RERExH1Wu8CouLubjjz9m//79ZbZbWFhQo0YNGjRogJOTU5lPNxYVFXHo0CFcXf/32InAwEAGDRpESUkJH3zwAQBubm5cuXKFjIwMQ7/09HSuXLlSZt/r3N3dOXDgQJlt+/fvp3HjxnflWkVERKRyqXKFV7NmzejQoQMTJkwgISGB48ePk5KSwvvvv09qairdunWjX79+xMTE8M0335CZmcns2bPJz8/nqaeeKnMsOzs7xowZw5o1a8jMzMTV1ZUOHTowffp0UlJSSElJYfr06bRu3ZqmTZsCUL16ddLT07l8+TI9evTg8OHDvP/++2RlZbFx40bWr19vWEcmIiIi5sUiNzf33t5R1ATy8/OJjY1ly5YtnDp1Cmtra9q2bcuIESN48MEHKSkpISYmhs8++4zLly/j6elJRESEYY2Wj48PixcvxsfHB4Bhw4ZhZWXF+++/z4ULF5g3bx7fffcd1apVw9/fn/DwcGrVqgXAsmXLiIuLo3v37oSHh7Nz504WLVrEkSNHqF+/Pi+99BI9evS4ZfxukW73ND8iIlVF/MB4fN19TR3GHUlLS6NJkyamDsNsmSr/VbLwquxUeImI3B4VXnKnTJX/KjfVKCIiIlJRVdnbSVRm8QPjTR2C2cnLy8Pe3t7UYZgl5d60Knv+nR2dTR2CSLmo8KqAKuuweWWWlpZGE3cN+ZuCcm9ayr+IcWmqUURERMRIVHiJiIiIGImmGiugHRk7TB2C2ckrzCMnI8fUYZilyp57Z0dnXOveeANlEZGbUeFVAfVd1dfUIYjIbYofGK/CS0Rum6YaRURERIykSo54TZ8+nY0bN/5h+9SpUwkODr4r5woJCWHw4ME8//zzd+V4IiIiUnVVycIrIiKCkSNHArBnzx4mT57Mpk2bDO01atQwVWgiIiJixqpk4VWjRg1DcXX9GYpOTk6mDElERETE/NZ4ZWZmEhYWRseOHenQoQOhoaEcOXIEgOTkZIKDg5k7dy6BgYEsX76coqIiFi1aRHBwML6+vnTr1o3169eXOWZGRgYvv/wyfn5+jBkzhnPnzhna9u3bR2hoKH5+fvj7+zNmzBjOnDlj1GsWERGRisGsCq/S0lIiIiKoX78+cXFxxMTEUFxcTHR0tKHPmTNnuHz5MqtXryY4OJhVq1bxzTff8Pbbb7N+/XqCg4OJiori7Nmzhn0+++wz+vfvz4cffkhRURETJ04E4MqVK4wdOxYfHx8++ugjoqOjOX78OP/4xz+Mfu0iIiJiemZVeOXn5xMSEkJYWBiNGjWiWbNmBAcHk56eXqbfgAEDaNSoEc7Oznh4eDBlyhQ8PT1p2LAhgwYNori4mKysLEP/7t27ExQUhIeHB3/729/Yu3cvR44cIS8vj0GDBjF06FAaNmxI69atefLJJ284n4iIiJiHKrnG64/Y29vTs2dPNm3axMGDB8nKyuKXX37B0dGxTL8GDRoYvu/YsSM//fQTCxcuJCsri0OHDgFQUlJi6NOiRQvD987OztSqVYuMjAw6d+5McHAwa9euJTU1lYyMDNLS0mjVqtU9vlIRERGpiMxqxOvq1asMGjSIL7/8Ejc3N4YNG8bo0aNv6GdjY2P4fsmSJbz55ptYWlry9NNPs3Llyhv6W1hYlHldWlqKtbU1Z86coW/fvvznP/+hefPmhIeH069fv7t/YSIiIlIpmNWIV3JyMqdPn2bt2rVYWV279B9//JHS0tI/3OfTTz/ljTfeICgoCMAwTfjbfY4cOUKXLl0AyM7O5tKlS7i5ubF9+3YcHBxYuHChoe8nn3xyy/OJiIhI1WVWhZejoyP5+fls27aNli1bkpSUxLp167Czs7vlPt999x2tWrUiJyeHqKgoAAoKCgx9Pv74Y5o2bYqLiwtz5syhQ4cOuLq6cujQIc6ePctPP/1Eo0aN2Lp1K9u2baNp06b3/FpFRESk4jGrwsvLy4uhQ4cyb948CgoK8PDwYMKECcyYMYNTp07ddJ8333yTd999lz59+uDk5MTzzz+PlZUVqamp+Pn5AdC/f3+WL1/O8ePHadeuHVOmTAGgc+fO7N69m8mTJwPX1oKFh4ezZMkS8vPzb1nwiYiISNVjkZubq3mvCsYt0s3UIYjIbYofGI+vu6+pw7hjaWlpNGnSxNRhmCXl3rRMlX+zWlwvIiIiYkpmNdVYWcQPjDd1CGYnLy8Pe3t7U4dhlip77p0dnU0dgohUIiq8KqDKPG1RWaWlpdHEXUP+pqDci4g50VSjiIiIiJGo8BIRERExEhVeIiIiIkaiNV4V0I6MHaYOwezkFeaRk5Fj6jDMUmXPvbOjM651XU0dhohUEiq8KqC+q/qaOgQRuU3xA+NVeInIbdNUo4iIiIiRmH3hNW7cOLp160Z+fv4NbeHh4fTv35/i4uKb7puQkEBwcPC9DlFERESqCLMvvCIiIrhw4QKxsbFltn/77bfs2LGDyZMnY2lpaaLoREREpCox+8Krfv36DBkyhNWrV3P8+HEACgoKWLBgAb1796ZFixYmjlBERESqCrMvvAD69euHs7MzixYtAmDNmjUUFhYyfPhwTp8+zaRJk+jcuTNdunRh7ty5/Prrr2X2X7JkCYGBgTzzzDNs2LChTNtnn33G888/T0BAAKGhoaSkpBjtukRERKRiUeEFWFlZMX78eLZv38727duJjY1l/PjxWFtbM2LECPLy8liyZAlvv/02P/zwA++9955h3zNnzpCamkpMTAwjRoxgzpw5JCUlAdemK5ctW0Z4eDirV6/G19eXESNGkJNTeT86LyIiIndOhdf/eeSRRwgKCmLSpEk8/vjj+Pn5sWPHDs6cOcP06dNp0qQJjz76KOPHj+ezzz7j8uXLAFhbWzNt2jQ8PDwIDg4mKCiITz/9FIDY2FgGDBhAQEAAjRs3ZsiQITRv3vyGUTERERExD7qP128MHjyYL7/8kqFDhwKQkZGBi4sLjo6Ohj6enp4UFxeTnZ0NgLOzM7Vr1za0P/zww4bCKzMzkyVLlrBs2TJDe0FBAfXq1TPC1YiIiEhFo8LrN2xtbW/652+VlJSU+bNatbKDhqWlpVhbWwNQXFxMWFgYjz/+eJk+9vb2dzdwERERqRQ01XgLbm5uHD16lAsXLhi27d+/H0tLSxo1agTAiRMnuHr1qqH9wIEDuLm5AeDq6srp06dxcXExfK1Zs4Zdu3YZ9TpERESkYlDhdQs+Pj40btyYyMhI0tLSSE5OJioqii5duhimFwsLC5k+fTpHjhzh008/5auvvuKll14C4KWXXuLjjz8mISGBY8eOsWLFCj7//HNDYSYiIiLmRVONt1CtWjXmzp3L3LlzGTJkCNWrVycoKIiRI0ca+jRt2tRwLzBHR0emTp1quPdXly5dOH/+PDExMeTk5ODq6srcuXNp2rSpqS5JRERETMgiNze31NRBSFlukW6mDkFEblP8wHh83X1NHcYdS0tLo0mTJqYOwywp96ZlqvxrqlFERETESDTVWAHFD4w3dQhmJy8vT582NZHKnntnR2dThyAilYgKrwqoMk9bVFZpaWk0cdeQvyko9yJiTjTVKCIiImIkKrxEREREjERTjRXQjowdpg7B7OQV5pGToYeXm4Jyb1rKv+lU9tw7OzrjWtfV1GFUOiq8KqC+q/qaOgQREZFbih8Yr8LrDmiqUURERMRIVHiJiIiIGInZFV4+Pj4kJSWV2bZ79278/PyYN2/en+5/4sQJfHx8OHr06E3bExISCA4O/sP9p0+fztSpU8sXtIiIiFQJZr/GKy0tjYiICLp06UJERMQ9P58xziEiIiIVk1kXXsePHycsLAwfHx+mTJmChYXFPT9njRo17vk5REREpGIyu6nG686fP8+YMWN46KGHmDlzJpaWloa2goIC5s+fz1NPPUXnzp2ZNGkS586dK7P/tm3bCA4OJjAwkKioKIqKisq0L1myhMDAQJ555hk2bNhg2K6pRhEREfNlloXXlStXCAsL4/Tp08ycORNra+sy7e+//z779+9n/vz5LFu2jNLSUsaOHUtpaamhz4YNG5g1axZRUVFs376dFStWGNrOnDlDamoqMTExjBgxgjlz5tywrkxERETMj1kWXnPmzAHA2tqaVatWlWnLz89n3bp1TJw4kVatWuHh4UFkZCTp6ens2bPH0O/111+ndevWtG3blldffZVPP/3U0GZtbc20adPw8PAgODiYoKCgMu0iIiJinsxyjVetWrWIjo5m69atzJs3j8DAQDw9PYFr674KCwsZNmxYmX0KCgrIzs7mgQceAKB58+aGtmbNmnHhwgX++9//AuDs7Ezt2rUN7Q8//LAKLxERETHPwuv111+ndu3a9OjRg82bNzNjxgzi4uKwtbWluLgYgKVLl96wEL5OnTpcvHgRgGrV/jdYWFJSAmCYsvxtG0BpaekN05kiIiJifsxyqvH6QnoLCwsmT57MyZMnWbZsGQANGzbE0tKS3NxcXFxccHFxoU6dOixcuJCTJ08ajnH48GHD9ykpKTg5ORkKtRMnTnD16lVD+4EDB3BzczPClYmIiEhFZpaF12+5u7szaNAg1q5dy759+3BwcCAkJIR58+bxn//8h8zMTCIjIzl8+DAuLi6G/aKioti/fz9JSUksW7aMfv36GdoKCwuZPn06R44c4dNPP+Wrr77ipZdeMsXliYiISAVillONvzdo0CC2bt3KzJkzWb16Na+//jrR0dFMmTKFgoICPD09WbRoEXZ2doZ9evfuzbhx4ygsLCQkJIS+ff/3YOumTZtSv359hgwZgqOjI1OnTqVFixamuDQRERGpQCxyc3NL/7ybGJNbpJupQxAREbml+IHx+Lr7mjqMO5aWlkaTJk2Mfl6zn2oUERERMRZNNVZA8QPjTR2C2cnLy8Pe3t7UYZgl5d60lH/Tqey5d3Z0NnUIlZIKrwqoMg/dVlZpaWk0cTf+kLMo96am/JuOcm+eNNUoIiIiYiQqvERERESMRFONFdCOjB2mDsHs5BXmkZORY+owzFJlz72zozOudV1NHYaIVBIqvCqgvqv6/nknEakQ4gfGq/ASkdumqUYRERERI1Hh9Ts+Pj4kJSWV2bZ79278/PyYN2/eXz5+cnIyPj4+FBUV/eVjiYiISOWiwutPpKWlERERQZcuXYiIiPjLx/Py8mLTpk1YWWmWV0RExNyo8LqF48ePExYWho+PD1OmTMHCwuIvH9Pa2honJ6e7EJ2IiIhUNiq8/sD58+cZM2YMDz30EDNnzsTS0tLQ9uuvv7J48WKCg4Px9/dn7NixnDx50tB+/PhxRo4ciZ+fH3379iUuLo6QkBBAU40iIiLmTIXXTVy5coWwsDBOnz7NzJkzsba2LtP+zjvvsG3bNiIjI1m5ciXFxcVERERQXFxMUVERY8eOpXr16qxatYqBAwcSExNjoisRERGRikSF103MmTMHuDYtuGrVqjJtFy9e5IsvviAiIoJHH32Uhx56iBkzZnDs2DF27NjBzp07OXnyJFOnTuXBBx+ka9eu9OrVyxSXISIiIhWMCq+bqFWrFtHR0YwcOZK1a9eyf/9+Q1t2djYlJSW0bNnSsM3R0RFXV1cyMzM5fPgwjRo1ombNmoZ2T09Po8YvIiIiFZMKr5t4/fXXqV27Nj169MDT05MZM2bw66+/AmBjY3PTfYqLiykuLi6zFuy60tLSexqviIiIVA4qvG7ievFkYWHB5MmTOXnyJMuWLQPAxcUFS0tLDhw4YOifm5vL0aNHcXV15cEHH+TYsWNcvnzZ0H7o0CHjXoCIiIhUSLqZ1J9wd3dn0KBBxMTE0LFjR7y8vOjevTtRUVHY2NhQu3ZtFi9eTL169fD19cXa2poGDRrw1ltv8eqrr5KRkcFHH31ErVq1TH0pIiIiYmIa8boNgwYNws3NjZkzZ5Kfn8/o0aNp164dEydOZOjQoVhbW/P+++9ja2tLtWrVePfddzl37hz9+/cnJiaG55577oZPRoqIiIj50YjX7/z+cUEAVlZWfPTRR2W2jRs3jnHjxt3Q9/z585w8eZIVK1YYtq1evdpw09RHHnnkpucQERGRqk8jXvfAG2+8wfr16zl58iRJSUl89NFHdOrUydRhiYiIiIlpxOsuq1u3LrNnz2bZsmUsXLiQunXr0qtXL3r27Hnbx4gfGH8PI5SbycvLw97e3tRhmKXKnntnR2dThyAilYhFbm6u7nUgIiIiYgSaahQRERExEhVeIiIiIkaiwktERETESFR4iYiIiBiJCi8RERERI1HhZUQFBQXMnj2bTp060bVrV2JjY/+wb2pqKkOGDMHPz48BAwaQkpJixEirnvLkfsuWLfTp0wd/f39eeuklvv32WyNGWvWUJ/fXXbhwga5du5KQkGCECKu28uQ/MzOT1157DT8/P3r06MHXX39txEirnvLkfvfu3QwYMAB/f3/69evHjz/+aMRIq7aCggL69Olzy5uXG/M9V4WXES1atIh9+/axePFiJk2axD/+8Q8SExNv6JeXl8frr79Oq1atiI2NpU2bNoSHh3PlyhUTRF013G7ud+/ezbRp0+jTpw9r1qwhJCSE8ePH88svv5gg6qrhdnP/W/Pnz+f8+fNGirBqu938X716lVGjRlGvXj3WrFlD7969+dvf/kZ6eroJoq4abjf358+fJyIigk6dOrF27Vo6d+7MuHHjOHnypAmirlp+/fXXP/09NvZ7rgovI8nLy2PDhg2MHTuW5s2bExAQQP/+/Vm3bt0Nfbds2YKVlRWvv/467u7uhIeHU6NGDbZs2WKCyCu/8uR+48aNPPnkkzz//PO4uLjw4osv8uijjyr3d6g8ub/uhx9+ICUlhTp16hgx0qqpPPnftGkTlpaWvPnmmzRu3JgXX3yRxx9/nP3795sg8sqvPLnfu3cvAAMHDqRRo0YMHjwYW1tbfv75Z2OHXaWkp6czZMgQjh07dst+xn7PVeFlJGlpaRQUFNC6dWvDtjZt2pCSkkJRUVGZvj///DNeXl5Uq3btx2NhYYGXl5f+AbxD5cl97969GTJkyA3HKCgouOdxVkXlyT3AlStXeOedd5g0aZIeLH8XlCf/O3fuxN/fHyur/z3QZMGCBYSEhBgt3qqkPLl3dHTk8uXLbN26ldLSUrZv387Vq1d56KGHjB12lbJnzx4ef/xxVq5cect+xn7PVeFlJDk5OdSqVQtbW1vDtrp161JYWEhubu4Nfe+///4y2+rWrcuZM2eMEWqVU57cN23alAcffNDw+siRI+zcuRNvb29jhVullCf3ANHR0fj6+tK2bVsjRll1lSf/x44do06dOrz77rs8/fTTvPzyy1rf+BeUJ/fe3t706tWLKVOm0L59e8aPH8+ECRNwd3c3ctRVS/fu3RkzZgx2dna37Gfs91wVXkaSn5+PjY1NmW3XX/9+NCU/P/+G/+3b2NhQWFh4b4OsosqT+986f/4848ePp02bNgQEBNzTGKuq8uR+165dfPfdd4wePdpo8VV15cn/1atXiYuLo2bNmixcuJDOnTszfvx4Dh48aLR4q5Ly5D4vL48TJ04wZMgQPvzwQ0aNGsX8+fM1y2Ekxn7P1UOyjcTGxuaGv2zXX/++Gre1tb3hB15QUPCnVbvcXHlyf93p06cZM2YMlpaWvP3224YhaCmf2819fn4+s2bNIiIigho1ahg1xqqsPL/7lpaWeHh4MGLECAAefvhh9uzZw7/+9S+aN29unICrkPLkPi4ujsLCQl599VXgWu7T09NZuXIlCxYsME7AZszY77l6NzGSevXqcenSpTI/3HPnzmFjY0OtWrXK9L3//vs5d+5cmW3nzp3jvvvuM0qsVU15cg9w/Phxhg0bBsCSJUuoXbu2sUKtcm439ykpKRw9epTIyEgCAgIICAjg7NmzvPPOO7z99tumCL1KKM/vvpOTE25ubmW2ubq6curUKWOEWuWUJ/cpKSllljgANG/enBMnThglVnNn7PdcFV5G0rRpU6ytrdm3b59h2969e2nWrFmZxawArVq1Yt++fZSWlgJQWlrK/v378fT0NGrMVUV5cn/hwgVGjRpFjRo1WLZsmYrdv+h2c9+iRQv++c9/EhcXZ/iqW7cuw4YNM4wCSPmV53ff09PzhtumZGRk0KBBA6PEWtWUJ/dOTk4cPny4zLaMjAwaNmxolFjNnbHfc1V4GYmdnR3PPPMMc+bM4cCBA3zzzTfExcXx4osvAtcW9+Xn5wPw5JNPkpeXx7x580hPT2fBggVcuXKFLl26mPISKq3y5H7JkiXk5uYybdo0ioqKyMnJIScnh8uXL5vyEiqt2829nZ0dLi4uZb4sLS2pW7cudevWNfFVVF7l+d3v3r072dnZREdHc+zYMeLj40lKSuKFF14w5SVUWuXJ/QsvvMDu3buJjY3l+PHjbNiwgYSEBPr27WvKS6jSTPmea5Gbm1t6T44sN8jPz+edd95h27ZtODg40K9fP/r16weAj48PU6dOJTg4GLg29Pz222+TkZHBQw89xIQJE7TO4i+43dx36dKFCxcu3LB/165dmTFjhrHDrhLK83v/W8HBwQwfPvymbXL7ypP//fv3ExUVxeHDh2nYsCEjR47E39/flOFXauXJ/ffff8+yZcvIysrC2dmZ0NBQnnzySVOGX6X4+PiwePFifHx8DK9N9Z6rwktERETESDTVKCIiImIkKrxEREREjESFl4iIiIiRqPASERERMRIVXiIiIiJGosJLROQ2XL+5YmVUmWMXqWpUeIlIhTR9+vRb3sNr+PDhhIaG3pNz+/j4sGTJEsPrDRs2lHlm3vLly/Hx8aGoqKjcx87Pz+eDDz6gT58++Pn5ERgYyODBg/nkk0/u6Hi3cunSJaZPn87OnTvv6nFF5M7pIdkiIn9i5cqVtG7d+i8fp7S0lLFjx5Kenk7//v3x8PCgsLCQ5ORkFi5cyJ49e5g9e/ZdiPia1NRUNm7cyNNPP33Xjikif40KLxERI9mzZw87d+5kwYIFPPHEE4bt/v7+1K5dmyVLlvDyyy/rKRUiVZgKLxGpMr799ls++OADjhw5QvXq1QkMDDQ89Py6Xbt28Y9//IO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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting Health System in States\n", + "plt.figure(figsize = (8,12))\n", + "sns.barplot(x = NCDC_external['Health System'], y = NCDC_external['states'], data = NCDC_external, color = 'green').set_title('Health System in States')" + ] + }, + { + "cell_type": "markdown", + "id": "849a37e6", + "metadata": {}, + "source": [ + "TODO L -\n", + "Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", + "Steps\n", + "\n", + ">From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", + ">Hint: Use Pandas.melt to create your plot DataFrame\n", + ">Set your quarter legend to lower left.\n", + ">Using axhline, draw a horizontal line through the graph at the value of Q2 2020.\n", + ">Write out your observation\n" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "id": "81e7c755", + "metadata": {}, + "outputs": [], + "source": [ + "#Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", + "#From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", + "#Hint: Use Pandas.melt to create your plot DataFrame\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "id": "71e84fea", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearQ1Q2Q3Q4
0201415438679.5016084622.3117479127.5818150356.45
1201516050601.3816463341.9117976234.5918533752.07
2201615943714.5416218542.4117555441.6918213537.29
3201715797965.8316334719.2717760228.1718598067.07
4201816096654.1916580508.0718081342.1019041437.59
5201916434552.6516931434.8918494114.1719530000.00
6202016740000.0015890000.0017820000.000.00
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" + ], + "text/plain": [ + " Year Q1 Q2 Q3 Q4\n", + "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", + "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", + "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", + "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", + "4 2018 16096654.19 16580508.07 18081342.10 19041437.59\n", + "5 2019 16434552.65 16931434.89 18494114.17 19530000.00\n", + "6 2020 16740000.00 15890000.00 17820000.00 0.00" + ] + }, + "execution_count": 156, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Declaring the dtat set to be used\n", + "RealGDP" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "id": "dd8ef945", + "metadata": {}, + "outputs": [], + "source": [ + "#Restructuring the RealGDP dataframe for easy readability and accessibility\n", + "Q_RealGDP= pd.melt(RealGDP, id_vars=['Year'], var_name='Quarter', value_name='Amount in Billion(N)')" + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "id": "994c4a99", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearQuarterAmount in Billion(N)
02014Q115438679.50
12015Q116050601.38
22016Q115943714.54
32017Q115797965.83
42018Q116096654.19
52019Q116434552.65
62020Q116740000.00
72014Q216084622.31
82015Q216463341.91
92016Q216218542.41
102017Q216334719.27
112018Q216580508.07
122019Q216931434.89
132020Q215890000.00
142014Q317479127.58
152015Q317976234.59
162016Q317555441.69
172017Q317760228.17
182018Q318081342.10
192019Q318494114.17
202020Q317820000.00
212014Q418150356.45
222015Q418533752.07
232016Q418213537.29
242017Q418598067.07
252018Q419041437.59
262019Q419530000.00
272020Q40.00
\n", + "
" + ], + "text/plain": [ + " Year Quarter Amount in Billion(N)\n", + "0 2014 Q1 15438679.50\n", + "1 2015 Q1 16050601.38\n", + "2 2016 Q1 15943714.54\n", + "3 2017 Q1 15797965.83\n", + "4 2018 Q1 16096654.19\n", + "5 2019 Q1 16434552.65\n", + "6 2020 Q1 16740000.00\n", + "7 2014 Q2 16084622.31\n", + "8 2015 Q2 16463341.91\n", + "9 2016 Q2 16218542.41\n", + "10 2017 Q2 16334719.27\n", + "11 2018 Q2 16580508.07\n", + "12 2019 Q2 16931434.89\n", + "13 2020 Q2 15890000.00\n", + "14 2014 Q3 17479127.58\n", + "15 2015 Q3 17976234.59\n", + "16 2016 Q3 17555441.69\n", + "17 2017 Q3 17760228.17\n", + "18 2018 Q3 18081342.10\n", + "19 2019 Q3 18494114.17\n", + "20 2020 Q3 17820000.00\n", + "21 2014 Q4 18150356.45\n", + "22 2015 Q4 18533752.07\n", + "23 2016 Q4 18213537.29\n", + "24 2017 Q4 18598067.07\n", + "25 2018 Q4 19041437.59\n", + "26 2019 Q4 19530000.00\n", + "27 2020 Q4 0.00" + ] + }, + "execution_count": 158, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Q_RealGDP" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "id": "8c2fcdb6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 159, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# generating a seaborn's barplot using the GDP values for each year & quarters\n", + "plt.figure(figsize = (10,5))\n", + "sns.barplot(x = 'Year', y = 'Amount in Billion(N)',hue = 'Quarter', data =Q_RealGDP).set_title('Annual-Quaterly GDP')\n", + "plt.legend(loc = 'lower left')\n", + "plt.axhline(y =15890000.00, label ='Hline', color ='black')" + ] + }, + { + "cell_type": "markdown", + "id": "6fe3ce42", + "metadata": {}, + "source": [ + "The second quarter of 2020 (onset of impact of pandemic in Nigeria) was used to apply an axhline threashold and bench mark for comparison of dataset parameters. \n", + "\n", + "\n", + "There is no record for the fourth quarter's GDP in 2020 \n", + "\n", + "\n", + "Economic activities during the fourth quarter was virtually grounded hence there is no record of GDP for fourth quater of 2020. This also means that 2020 has the lowest combined GDP in the years under review. \n", + "\n", + "\n", + "The impact of covid 19 was huge on Nigeria's economy around the second quarter, in 2020, because that was when the highest cases of daily infection were recorded. \n", + "\n", + "\n", + "The negative effects of covid on the population and the control measures enforced by the government affected productivity, all compared to other years included in the review. " + ] + }, + { + "cell_type": "markdown", + "id": "885497a6", + "metadata": {}, + "source": [ + "Note: Do not limit your analysis to the provided TODOs. Perform more analyses e.g\n", + ">Check for more external dataset\n", + ">Ask more questions & find the right answers by exploring the data" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From c726dbad393fb7e270349b7d38e6b4d59e51cb09 Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Thu, 25 Aug 2022 04:35:21 -0700 Subject: [PATCH 06/19] Delete Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb --- ...ID-19-Data-Analysis-Using-Python (1).ipynb | 6329 ----------------- 1 file changed, 6329 deletions(-) delete mode 100644 Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb diff --git a/Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb b/Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb deleted file mode 100644 index 3a49ac08..00000000 --- a/Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb +++ /dev/null @@ -1,6329 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cf1b9a47", - "metadata": {}, - "source": [ - "# Task 1 - Data Collection\n", - "Here you will obtain the required data for the analysis. As described in the project instructions, you will perform a web scrap to obtain data from the NCDC website, import data from the JoHn Hopkins repository, and import the provided external data.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "844c4c23", - "metadata": {}, - "source": [ - "# A - NCDC Website scrap\n", - "Website - https://covid19.ncdc.gov.ng/" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "eb9c700f", - "metadata": {}, - "outputs": [], - "source": [ - "# Importing all libraries\n", - "import os\n", - "os.chdir('C:\\\\Users\\\\OCHAI ODEH\\\\Downloads\\\\Nigeriadata')\n", - "import requests\n", - "import numpy as np\n", - "import urllib.request\n", - "import pandas as pd\n", - "import csv\n", - "from bs4 import BeautifulSoup\n", - "import seaborn as sns\n", - "sns.set_style(\"darkgrid\")\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline\n", - "plt.style.use('fivethirtyeight') \n", - "import warnings\n", - "warnings.filterwarnings('ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "2fb9112c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# checking response of server to get url request\n", - "\n", - "url = 'https://covid19.ncdc.gov.ng'\n", - "status_code = requests.get(url)\n", - "status_code" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "416ceaad", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 102877 129 \n", - "1 FCT 29075 146 \n", - "2 Rivers 17680 262 \n", - "3 Kaduna 11467 11 \n", - "4 Oyo 10327 6 \n", - "5 Plateau 10292 18 \n", - "6 Edo 7821 102 \n", - "7 Ogun 5810 11 \n", - "8 Delta 5631 349 \n", - "9 Ondo 5173 315 \n", - "10 Kano 5169 41 \n", - "11 Akwa Ibom 4973 22 \n", - "12 Kwara 4680 441 \n", - "13 Osun 3311 36 \n", - "14 Gombe 3310 6 \n", - "15 Enugu 2952 13 \n", - "16 Anambra 2825 46 \n", - "17 Nasarawa 2777 393 \n", - "18 Imo 2655 7 \n", - "19 Ekiti 2447 46 \n", - "20 Katsina 2418 0 \n", - "21 Abia 2226 11 \n", - "22 Benue 2129 340 \n", - "23 Ebonyi 2064 28 \n", - "24 Bauchi 1979 8 \n", - "25 Borno 1629 5 \n", - "26 Taraba 1473 62 \n", - "27 Bayelsa 1363 10 \n", - "28 Adamawa 1203 68 \n", - "29 Niger 1150 132 \n", - "30 Cross River 873 3 \n", - "31 Sokoto 822 0 \n", - "32 Jigawa 669 2 \n", - "33 Yobe 638 4 \n", - "34 Kebbi 480 10 \n", - "35 Zamfara 375 0 \n", - "36 Kogi 5 0 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 101977 771 \n", - "1 28680 249 \n", - "2 17264 154 \n", - "3 11367 89 \n", - "4 10119 202 \n", - "5 10199 75 \n", - "6 7398 321 \n", - "7 5717 82 \n", - "8 5170 112 \n", - "9 4749 109 \n", - "10 5001 127 \n", - "11 4907 44 \n", - "12 4175 64 \n", - "13 3183 92 \n", - "14 3238 66 \n", - "15 2910 29 \n", - "16 2760 19 \n", - "17 2345 39 \n", - "18 2590 58 \n", - "19 2373 28 \n", - "20 2381 37 \n", - "21 2181 34 \n", - "22 1764 25 \n", - "23 2004 32 \n", - "24 1947 24 \n", - "25 1580 44 \n", - "26 1377 34 \n", - "27 1325 28 \n", - "28 1103 32 \n", - "29 998 20 \n", - "30 845 25 \n", - "31 794 28 \n", - "32 649 18 \n", - "33 625 9 \n", - "34 454 16 \n", - "35 366 9 \n", - "36 3 2 \n" - ] - } - ], - "source": [ - "# Reading NCDC data from url to a DataFrame object.\n", - "url = 'https://covid19.ncdc.gov.ng'\n", - "html = requests.get(url).content\n", - "df_list = pd.read_html(html)\n", - "\n", - "#Saving the data from link to object nig_covid_cases\n", - "nig_covid_cases = df_list[-1]\n", - "print(nig_covid_cases)\n", - "nig_covid_cases.to_csv('ncdcdata.csv')\n" - ] - }, - { - "cell_type": "markdown", - "id": "fb9a9282", - "metadata": {}, - "source": [ - "# B - John Hopkins Data Repository\n", - "Here you will obtain data from the John Hopkins repository. Your task here involves saving the data from the GitHub repo link to DataFrame for further analysis. Find the links below.\n", - "\n", - "Global Daily Confirmed Cases - Click Here Global Daily Recovered Cases - Click Here Global Daily Death Cases - Click Here\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "980b61f4", - "metadata": {}, - "outputs": [], - "source": [ - "#Saving the data from John Hopkin's repository's link into a DataFrame object\n", - "\n", - "confirmed_global= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", - "covid19_recovered_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", - "covid19_deaths_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "2e75c02c", - "metadata": {}, - "outputs": [], - "source": [ - "JH_confirmed_global=confirmed_global\n", - "JH_deaths_global=covid19_deaths_global\n", - "JH_recovered_global=covid19_recovered_global" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "184a6b6a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
0NaNAfghanistan33.9391167.709953000000...7758775877597759775977597759775977627767
1NaNAlbania41.1533020.168300000000...3570357135713573357435743575357635763576
2NaNAlgeria28.033901.659600000000...6878687868786878687868786878687868786878
3NaNAndorra42.506301.521800000000...154154154154154154154154154154
4NaNAngola-11.2027017.873900000000...1917191719171917191719171917191719171917
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5 rows × 948 columns

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" - ], - "text/plain": [ - " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", - "0 NaN Afghanistan 33.93911 67.709953 0 0 \n", - "1 NaN Albania 41.15330 20.168300 0 0 \n", - "2 NaN Algeria 28.03390 1.659600 0 0 \n", - "3 NaN Andorra 42.50630 1.521800 0 0 \n", - "4 NaN Angola -11.20270 17.873900 0 0 \n", - "\n", - " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", - "0 0 0 0 0 ... 7758 7758 7759 \n", - "1 0 0 0 0 ... 3570 3571 3571 \n", - "2 0 0 0 0 ... 6878 6878 6878 \n", - "3 0 0 0 0 ... 154 154 154 \n", - "4 0 0 0 0 ... 1917 1917 1917 \n", - "\n", - " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", - "0 7759 7759 7759 7759 7759 7762 7767 \n", - "1 3573 3574 3574 3575 3576 3576 3576 \n", - "2 6878 6878 6878 6878 6878 6878 6878 \n", - "3 154 154 154 154 154 154 154 \n", - "4 1917 1917 1917 1917 1917 1917 1917 \n", - "\n", - "[5 rows x 948 columns]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Reading some of the data from John Hopkin's repository\n", - "JH_deaths_global.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39a878bc", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "219c82cd", - "metadata": {}, - "source": [ - "# External Data\n", - "\n", - "Save the external data to a DataFrame\n", - "External Data includes but not limited to: covid_external.csv, Budget data.csv, RealGDP.csv" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "dc07766f", - "metadata": {}, - "outputs": [], - "source": [ - "#Saving external data into dataaframe object\n", - "covid_external = pd.read_csv('covid_external.csv')\n", - "Budget_data = pd.read_csv('Budget data.csv')\n", - "RealGDP = pd.read_csv('RealGDP.csv')\n", - "covidnig = pd.read_csv('covidnig.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "706c1245", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26,7082,43524,037236
1FCT9,6272,8406,69493
2Kaduna4,5045793,87748
3Plateau4,2622803,94834
4Oyo3,7883683,37446
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" - ], - "text/plain": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 26,708 2,435 \n", - "1 FCT 9,627 2,840 \n", - "2 Kaduna 4,504 579 \n", - "3 Plateau 4,262 280 \n", - "4 Oyo 3,788 368 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 24,037 236 \n", - "1 6,694 93 \n", - "2 3,877 48 \n", - "3 3,948 34 \n", - "4 3,374 46 " - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Reading some of the dataframes\n", - "covidnig.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "8a8ccd9e", - "metadata": {}, - "outputs": [], - "source": [ - "# Combining all 'external' dataframe objects provided using the merge() function on identical column\n", - "merged_t1 = pd.merge(covid_external, Budget_data, on= 'states', how ='outer', sort= True)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "2b982227", - "metadata": {}, - "outputs": [], - "source": [ - "#Renaming of a column is necessary if web scrapped data from NCDC's link is to be merged with 'external' dataframe on isentical column 'states'.\n", - "covidnig_rn = covidnig.rename(columns={'States Affected':'states'})" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "38c0df7a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 37 non-null object\n", - " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", - " 2 No. of Cases (on admission) 37 non-null object\n", - " 3 No. Discharged 37 non-null object\n", - " 4 No. of Deaths 37 non-null int64 \n", - "dtypes: int64(1), object(4)\n", - "memory usage: 1.6+ KB\n" - ] - } - ], - "source": [ - "#Checking if Renaming was successful and type of data in imported data from NCDC's link.\n", - "covidnig_rn.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "f8304c9b", - "metadata": {}, - "outputs": [], - "source": [ - "# values of data are object\n", - "# All data values has to be converted to appropriate type (numeric). We use pd.to_numeric and apply the conversion.\n", - "covidnig_rndf = covidnig_rn[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", - "covidnig_rn[covidnig_rndf] = covidnig_rn[covidnig_rndf].apply(pd.to_numeric,errors='coerce')" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "edc5e80b", - "metadata": {}, - "outputs": [], - "source": [ - "covidnig_rn.replace(',','', regex=True, inplace=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "f3fa815d", - "metadata": {}, - "outputs": [], - "source": [ - "#Final merger of external dataframe and NCDC's data also using the pd.merge() function\n", - "merged_t2 = pd.merge(merged_t1,covidnig_rn, on= 'states', how ='outer', sort=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "cfef53ba", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df = merged_t2.append(RealGDP, ignore_index=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "e6d82b00", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised_budget (Bn)No. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsYearQ1Q2Q3Q4
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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5 rows × 23 columns

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" - ], - "text/plain": [ - " states region Population Overall CCVI Index Age \\\n", - "0 Abia South East 4190000.0 0.2 0.9 \n", - "1 Adamawa North East 4672000.0 0.8 0.5 \n", - "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", - "3 Akwa-Ibom NaN NaN NaN NaN \n", - "4 Anambra South East 6050000.0 0.6 0.9 \n", - "\n", - " Epidemiological Fragility Health System Population Density \\\n", - "0 0.6 0.1 0.3 0.9 \n", - "1 0.6 0.9 0.7 0.3 \n", - "2 0.7 0.6 0.8 0.8 \n", - "3 NaN NaN NaN NaN \n", - "4 1.0 0.6 0.2 1.0 \n", - "\n", - " Socio-Economic ... Revised_budget (Bn) No. of Cases (Lab Confirmed) \\\n", - "0 0.2 ... 102.70 980.0 \n", - "1 0.7 ... 139.31 355.0 \n", - "2 0.5 ... NaN 395.0 \n", - "3 NaN ... 366.00 NaN \n", - "4 0.0 ... 112.80 299.0 \n", - "\n", - " No. of Cases (on admission) No. Discharged No. of Deaths Year Q1 Q2 \\\n", - "0 25.0 945.0 10.0 NaN NaN NaN \n", - "1 96.0 238.0 21.0 NaN NaN NaN \n", - "2 44.0 342.0 9.0 NaN NaN NaN \n", - "3 NaN NaN NaN NaN NaN NaN \n", - "4 6.0 274.0 19.0 NaN NaN NaN \n", - "\n", - " Q3 Q4 \n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Viewing the data\n", - "#Obtain basic information about the merged data using the head() and info() method.\n", - "combined_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "570617ef", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 48 entries, 0 to 47\n", - "Data columns (total 23 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 41 non-null object \n", - " 1 region 37 non-null object \n", - " 2 Population 37 non-null float64\n", - " 3 Overall CCVI Index 37 non-null float64\n", - " 4 Age 37 non-null float64\n", - " 5 Epidemiological 37 non-null float64\n", - " 6 Fragility 37 non-null float64\n", - " 7 Health System 37 non-null float64\n", - " 8 Population Density 37 non-null float64\n", - " 9 Socio-Economic 37 non-null float64\n", - " 10 Transport Availability 37 non-null float64\n", - " 11 Acute IHR 37 non-null float64\n", - " 12 Initial_budget (Bn) 37 non-null float64\n", - " 13 Revised_budget (Bn) 37 non-null float64\n", - " 14 No. of Cases (Lab Confirmed) 21 non-null float64\n", - " 15 No. of Cases (on admission) 35 non-null float64\n", - " 16 No. Discharged 22 non-null float64\n", - " 17 No. of Deaths 37 non-null float64\n", - " 18 Year 7 non-null float64\n", - " 19 Q1 7 non-null float64\n", - " 20 Q2 7 non-null float64\n", - " 21 Q3 7 non-null float64\n", - " 22 Q4 7 non-null float64\n", - "dtypes: float64(21), object(2)\n", - "memory usage: 8.8+ KB\n" - ] - } - ], - "source": [ - "combined_df.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "7333933a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "states 37\n", - "Initial_budget (Bn) 37\n", - "Revised_budget (Bn) 37\n", - "dtype: int64" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Budget_data.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "cbb55a48", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "states 37\n", - "region 6\n", - "Population 37\n", - "Overall CCVI Index 11\n", - "Age 11\n", - "Epidemiological 11\n", - "Fragility 11\n", - "Health System 11\n", - "Population Density 11\n", - "Socio-Economic 11\n", - " Transport Availability 11\n", - "Acute IHR 22\n", - "dtype: int64" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covid_external.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "53f0b8ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "States Affected 37\n", - "No. of Cases (Lab Confirmed) 37\n", - "No. of Cases (on admission) 33\n", - "No. Discharged 37\n", - "No. of Deaths 30\n", - "dtype: int64" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "6f484eb5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Year 7\n", - "Q1 7\n", - "Q2 7\n", - "Q3 7\n", - "Q4 7\n", - "dtype: int64" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "RealGDP.nunique()" - ] - }, - { - "cell_type": "markdown", - "id": "4c1d3330", - "metadata": {}, - "source": [ - "# Task 2 - View the data\n", - "Obtain basic information about the data using the head() and info() method." - ] - }, - { - "cell_type": "markdown", - "id": "489b28aa", - "metadata": {}, - "source": [ - "# Viewing the separate external data and NCDC's data: Obtaining basic information about the data using the head() and info() method." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "540f2dee", - "metadata": {}, - "outputs": [], - "source": [ - "covid_external = pd.read_csv('covid_external.csv')\n", - "Budget_data = pd.read_csv('Budget data.csv')\n", - "RealGDP = pd.read_csv('RealGDP.csv')\n", - "covidnig = pd.read_csv('covidnig.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "4cba08be", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
0FCTNorth Central48650000.30.00.90.40.60.90.60.20.79
1PlateauNorth Central47660000.40.50.40.80.30.30.50.30.93
2KwaraNorth Central35240000.30.40.30.20.40.20.60.70.93
3NassarawaNorth Central27830000.10.30.50.90.00.10.60.50.85
4NigerNorth Central62600000.60.00.60.30.70.10.80.80.84
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" - ], - "text/plain": [ - " states region Population Overall CCVI Index Age \\\n", - "0 FCT North Central 4865000 0.3 0.0 \n", - "1 Plateau North Central 4766000 0.4 0.5 \n", - "2 Kwara North Central 3524000 0.3 0.4 \n", - "3 Nassarawa North Central 2783000 0.1 0.3 \n", - "4 Niger North Central 6260000 0.6 0.0 \n", - "\n", - " Epidemiological Fragility Health System Population Density \\\n", - "0 0.9 0.4 0.6 0.9 \n", - "1 0.4 0.8 0.3 0.3 \n", - "2 0.3 0.2 0.4 0.2 \n", - "3 0.5 0.9 0.0 0.1 \n", - "4 0.6 0.3 0.7 0.1 \n", - "\n", - " Socio-Economic Transport Availability Acute IHR \n", - "0 0.6 0.2 0.79 \n", - "1 0.5 0.3 0.93 \n", - "2 0.6 0.7 0.93 \n", - "3 0.6 0.5 0.85 \n", - "4 0.8 0.8 0.84 " - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covid_external.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "id": "520ff38f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 12 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 37 non-null object \n", - " 1 region 37 non-null object \n", - " 2 Population 37 non-null int64 \n", - " 3 Overall CCVI Index 37 non-null float64\n", - " 4 Age 37 non-null float64\n", - " 5 Epidemiological 37 non-null float64\n", - " 6 Fragility 37 non-null float64\n", - " 7 Health System 37 non-null float64\n", - " 8 Population Density 37 non-null float64\n", - " 9 Socio-Economic 37 non-null float64\n", - " 10 Transport Availability 37 non-null float64\n", - " 11 Acute IHR 37 non-null float64\n", - "dtypes: float64(9), int64(1), object(2)\n", - "memory usage: 3.6+ KB\n" - ] - } - ], - "source": [ - "covid_external.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "id": "4c915f29", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesInitial_budget (Bn)Revised_budget (Bn)
0Abia136.60102.70
1Adamawa183.30139.31
2Akwa-Ibom597.73366.00
3Anambra137.10112.80
4Bauchi167.20128.00
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" - ], - "text/plain": [ - " states Initial_budget (Bn) Revised_budget (Bn)\n", - "0 Abia 136.60 102.70\n", - "1 Adamawa 183.30 139.31\n", - "2 Akwa-Ibom 597.73 366.00\n", - "3 Anambra 137.10 112.80\n", - "4 Bauchi 167.20 128.00" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Budget_data.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "id": "47bf9836", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 3 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 37 non-null object \n", - " 1 Initial_budget (Bn) 37 non-null float64\n", - " 2 Revised_budget (Bn) 37 non-null float64\n", - "dtypes: float64(2), object(1)\n", - "memory usage: 1016.0+ bytes\n" - ] - } - ], - "source": [ - "Budget_data.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "id": "ac2af73e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YearQ1Q2Q3Q4
0201415438679.5016084622.3117479127.5818150356.45
1201516050601.3816463341.9117976234.5918533752.07
2201615943714.5416218542.4117555441.6918213537.29
3201715797965.8316334719.2717760228.1718598067.07
4201816096654.1916580508.0718081342.1019041437.59
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" - ], - "text/plain": [ - " Year Q1 Q2 Q3 Q4\n", - "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", - "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", - "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", - "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", - "4 2018 16096654.19 16580508.07 18081342.10 19041437.59" - ] - }, - "execution_count": 39, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "RealGDP.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "b7496c7f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 7 entries, 0 to 6\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 Year 7 non-null int64 \n", - " 1 Q1 7 non-null float64\n", - " 2 Q2 7 non-null float64\n", - " 3 Q3 7 non-null float64\n", - " 4 Q4 7 non-null float64\n", - "dtypes: float64(4), int64(1)\n", - "memory usage: 408.0 bytes\n" - ] - } - ], - "source": [ - "RealGDP.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "id": "140000d9", - "metadata": {}, - "outputs": [], - "source": [ - "#Removing coma from the data values from NCDC website\n", - "covidnig.replace(',','', regex=True, inplace=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "id": "a79d0775", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
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" - ], - "text/plain": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 26708 2435 \n", - "1 FCT 9627 2840 \n", - "2 Kaduna 4504 579 \n", - "3 Plateau 4262 280 \n", - "4 Oyo 3788 368 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 24037 236 \n", - "1 6694 93 \n", - "2 3877 48 \n", - "3 3948 34 \n", - "4 3374 46 " - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "id": "3aba9131", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 States Affected 37 non-null object\n", - " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", - " 2 No. of Cases (on admission) 37 non-null object\n", - " 3 No. Discharged 37 non-null object\n", - " 4 No. of Deaths 37 non-null int64 \n", - "dtypes: int64(1), object(4)\n", - "memory usage: 1.6+ KB\n" - ] - } - ], - "source": [ - "covidnig.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "id": "41d9cc75", - "metadata": {}, - "outputs": [], - "source": [ - "# Converting NCDC's data into appropriate data type (from object to int)\n", - "newcovidnig = covidnig[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", - "covidnig[newcovidnig] = covidnig[newcovidnig].apply(pd.to_numeric,errors='coerce')" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "id": "24c38b3c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 States Affected 37 non-null object\n", - " 1 No. of Cases (Lab Confirmed) 37 non-null int64 \n", - " 2 No. of Cases (on admission) 37 non-null int64 \n", - " 3 No. Discharged 37 non-null int64 \n", - " 4 No. of Deaths 37 non-null int64 \n", - "dtypes: int64(4), object(1)\n", - "memory usage: 1.6+ KB\n" - ] - } - ], - "source": [ - "# Checking: conversion is successful\n", - "covidnig.info()" - ] - }, - { - "cell_type": "markdown", - "id": "fd53ebe2", - "metadata": {}, - "source": [ - "# Task 3 - Data Cleaning and Preparation" - ] - }, - { - "cell_type": "markdown", - "id": "9a6a4596", - "metadata": {}, - "source": [ - "From the information obtained above, you will need to fix the data format.\n", - "Examples:\n", - "\n", - ">Convert to appropriate data type.\n", - ">Rename the columns of the scraped data.\n", - ">Remove comma(,) in numerical data\n", - ">Extract daily data for Nigeria from the Global daily cases data" - ] - }, - { - "cell_type": "markdown", - "id": "5995394a", - "metadata": {}, - "source": [ - "TODO A - Clean the scraped data" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "id": "80bead0f", - "metadata": {}, - "outputs": [], - "source": [ - "#Data Cleaning and Preparation: Clean the scraped data\n", - "#Renaming columns of dataframe" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "id": "fb588afb", - "metadata": {}, - "outputs": [], - "source": [ - "#Renaming of columns of merged dataframe\n", - "combined_df.rename(columns = {'states':'State', 'region': 'Region', 'Initial_budget (Bn)': 'Initial Budget in Billion', 'Revised_budget (Bn)': 'Revised Budget in Billion', 'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths', 'Q1': 'First Quarter', 'Q2': 'Second Quarter', 'Q3': 'Third Quarter', 'Q4':'Fourth Quarter'}, inplace = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "id": "fd6cac5c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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StateRegionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised Budget in BillionNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of DeathsYearFirst QuarterSecond QuarterThird QuarterFourth Quarter
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
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5 rows × 23 columns

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" - ], - "text/plain": [ - " State Region Population Overall CCVI Index Age \\\n", - "0 Abia South East 4190000.0 0.2 0.9 \n", - "1 Adamawa North East 4672000.0 0.8 0.5 \n", - "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", - "3 Akwa-Ibom NaN NaN NaN NaN \n", - "4 Anambra South East 6050000.0 0.6 0.9 \n", - "\n", - " Epidemiological Fragility Health System Population Density \\\n", - "0 0.6 0.1 0.3 0.9 \n", - "1 0.6 0.9 0.7 0.3 \n", - "2 0.7 0.6 0.8 0.8 \n", - "3 NaN NaN NaN NaN \n", - "4 1.0 0.6 0.2 1.0 \n", - "\n", - " Socio-Economic ... Revised Budget in Billion \\\n", - "0 0.2 ... 102.70 \n", - "1 0.7 ... 139.31 \n", - "2 0.5 ... NaN \n", - "3 NaN ... 366.00 \n", - "4 0.0 ... 112.80 \n", - "\n", - " Number of Lab Confirmed Cases Number of Cases on Admission \\\n", - "0 980.0 25.0 \n", - "1 355.0 96.0 \n", - "2 395.0 44.0 \n", - "3 NaN NaN \n", - "4 299.0 6.0 \n", - "\n", - " Number of Cases Discharged Number of Deaths Year First Quarter \\\n", - "0 945.0 10.0 NaN NaN \n", - "1 238.0 21.0 NaN NaN \n", - "2 342.0 9.0 NaN NaN \n", - "3 NaN NaN NaN NaN \n", - "4 274.0 19.0 NaN NaN \n", - "\n", - " Second Quarter Third Quarter Fourth Quarter \n", - "0 NaN NaN NaN \n", - "1 NaN NaN NaN \n", - "2 NaN NaN NaN \n", - "3 NaN NaN NaN \n", - "4 NaN NaN NaN \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Checking if renamig is successful\n", - "combined_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "id": "2e595642", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "State object\n", - "Region object\n", - "Population float64\n", - "Overall CCVI Index float64\n", - "Age float64\n", - "Epidemiological float64\n", - "Fragility float64\n", - "Health System float64\n", - "Population Density float64\n", - "Socio-Economic float64\n", - " Transport Availability float64\n", - "Acute IHR float64\n", - "Initial Budget in Billion float64\n", - "Revised Budget in Billion float64\n", - "Number of Lab Confirmed Cases float64\n", - "Number of Cases on Admission float64\n", - "Number of Cases Discharged float64\n", - "Number of Deaths float64\n", - "Year float64\n", - "First Quarter float64\n", - "Second Quarter float64\n", - "Third Quarter float64\n", - "Fourth Quarter float64\n", - "dtype: object" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Checking data tyoes in columns of merged dataframe\n", - "combined_df.dtypes" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "id": "37941bb4", - "metadata": {}, - "outputs": [], - "source": [ - "JH_confirmed_global=confirmed_global\n", - "JH_deaths_global=covid19_deaths_global\n", - "JH_recovered_global=covid19_recovered_global" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "a3831d28", - "metadata": {}, - "outputs": [], - "source": [ - "# Saved global data from John Hopkin's repository" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "id": "dd04542b", - "metadata": {}, - "outputs": [], - "source": [ - "# Saved global data from John Hopkin's repository\n", - "JH_confirmed_global=confirmed_global\n", - "JH_deaths_global=covid19_deaths_global\n", - "JH_recovered_global=covid19_recovered_global" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "id": "928f0f66", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
0NaNAfghanistan33.93911067.709953000000...188820189045189343189477189710190010190254190435190643191040
1NaNAlbania41.15330020.168300000000...321345321804322125322837323282323829325241325736326077326181
2NaNAlgeria28.0339001.659600000000...269008269141269269269381269473269556269650269731269805269894
3NaNAndorra42.5063001.521800000000...45899458994589945899459754597545975459754597545975
4NaNAngola-11.20270017.873900000000...102636102636102636102636102636102636102636102636102636102636
..................................................................
200Cook IslandsNew Zealand-21.236700-159.777700000000...6209620962406265626562656265626562656265
201NaNNew Zealand-40.900600174.886000000000...1687705169126116962391700900170559717095411712957171516517180091721836
202NaNNicaragua12.865416-85.207229000000...14872148721487214872148991489914899148991489914899
203NaNNiger17.6077898.081666000000...9132913291399139915791579183918391839203
204NaNNigeria9.0820008.675300000000...262520262520262520262664262664262748262748262912262912262912
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205 rows × 948 columns

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" - ], - "text/plain": [ - " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", - "0 NaN Afghanistan 33.939110 67.709953 0 0 \n", - "1 NaN Albania 41.153300 20.168300 0 0 \n", - "2 NaN Algeria 28.033900 1.659600 0 0 \n", - "3 NaN Andorra 42.506300 1.521800 0 0 \n", - "4 NaN Angola -11.202700 17.873900 0 0 \n", - ".. ... ... ... ... ... ... \n", - "200 Cook Islands New Zealand -21.236700 -159.777700 0 0 \n", - "201 NaN New Zealand -40.900600 174.886000 0 0 \n", - "202 NaN Nicaragua 12.865416 -85.207229 0 0 \n", - "203 NaN Niger 17.607789 8.081666 0 0 \n", - "204 NaN Nigeria 9.082000 8.675300 0 0 \n", - "\n", - " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", - "0 0 0 0 0 ... 188820 189045 189343 \n", - "1 0 0 0 0 ... 321345 321804 322125 \n", - "2 0 0 0 0 ... 269008 269141 269269 \n", - "3 0 0 0 0 ... 45899 45899 45899 \n", - "4 0 0 0 0 ... 102636 102636 102636 \n", - ".. ... ... ... ... ... ... ... ... \n", - "200 0 0 0 0 ... 6209 6209 6240 \n", - "201 0 0 0 0 ... 1687705 1691261 1696239 \n", - "202 0 0 0 0 ... 14872 14872 14872 \n", - "203 0 0 0 0 ... 9132 9132 9139 \n", - "204 0 0 0 0 ... 262520 262520 262520 \n", - "\n", - " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", - "0 189477 189710 190010 190254 190435 190643 191040 \n", - "1 322837 323282 323829 325241 325736 326077 326181 \n", - "2 269381 269473 269556 269650 269731 269805 269894 \n", - "3 45899 45975 45975 45975 45975 45975 45975 \n", - "4 102636 102636 102636 102636 102636 102636 102636 \n", - ".. ... ... ... ... ... ... ... \n", - "200 6265 6265 6265 6265 6265 6265 6265 \n", - "201 1700900 1705597 1709541 1712957 1715165 1718009 1721836 \n", - "202 14872 14899 14899 14899 14899 14899 14899 \n", - "203 9139 9157 9157 9183 9183 9183 9203 \n", - "204 262664 262664 262748 262748 262912 262912 262912 \n", - "\n", - "[205 rows x 948 columns]" - ] - }, - "execution_count": 57, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#viewing basic information from John Hopkin's global data\n", - "JH_confirmed_global.head(n=205)" - ] - }, - { - "cell_type": "markdown", - "id": "21081e69", - "metadata": {}, - "source": [] - }, - { - "cell_type": "markdown", - "id": "cfee36c4", - "metadata": {}, - "source": [ - "TODO B - Get a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", - "\n", - "TODO C - Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases\n", - "\n", - "TODO D - Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "id": "8ea0ac17", - "metadata": {}, - "outputs": [], - "source": [ - "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", - "# The data frames will be restructured to make data accessible and extractable. We restructure dataframe using pd.melt() and drop() method\n", - "JH_Daily_confirmed = pd.melt(JH_confirmed_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Confirmed Cases')" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "id": "b7c7345b", - "metadata": {}, - "outputs": [], - "source": [ - "# Still converting data tpe: Date column values is to be converted into standard Datetime format\n", - "JH_Daily_confirmed['Date'] = pd.to_datetime(JH_Daily_confirmed['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "id": "0f5ba3ca", - "metadata": {}, - "outputs": [], - "source": [ - "#delete other columns aside date and country/region using the drop()method\n", - "JH_Daily_Confirmeddf= JH_Daily_confirmed.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "id": "c1f8e51e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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Country/RegionDateConfirmed Cases
0Afghanistan2020-01-220
1Albania2020-01-220
2Algeria2020-01-220
3Andorra2020-01-220
4Angola2020-01-220
............
269035West Bank and Gaza2022-08-22698384
269036Winter Olympics 20222022-08-22535
269037Yemen2022-08-2211915
269038Zambia2022-08-22332527
269039Zimbabwe2022-08-22256628
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269040 rows × 3 columns

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" - ], - "text/plain": [ - " Country/Region Date Confirmed Cases\n", - "0 Afghanistan 2020-01-22 0\n", - "1 Albania 2020-01-22 0\n", - "2 Algeria 2020-01-22 0\n", - "3 Andorra 2020-01-22 0\n", - "4 Angola 2020-01-22 0\n", - "... ... ... ...\n", - "269035 West Bank and Gaza 2022-08-22 698384\n", - "269036 Winter Olympics 2022 2022-08-22 535\n", - "269037 Yemen 2022-08-22 11915\n", - "269038 Zambia 2022-08-22 332527\n", - "269039 Zimbabwe 2022-08-22 256628\n", - "\n", - "[269040 rows x 3 columns]" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#checking if the formatting of dataframe for global confirmed Cases is as expected\n", - "JH_Daily_Confirmeddf" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "id": "3906e952", - "metadata": {}, - "outputs": [], - "source": [ - "#Applying formatting tools used for global confirmed cases to Dataframe of global recoveries and Deaths\n", - "\n", - "JH_Daily_Recovery = pd.melt(JH_recovered_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Recovered Cases')\n", - "JH_Daily_Recovery['Date'] = pd.to_datetime(JH_Daily_Recovery['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "id": "f2abb71a", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Recoverydf= JH_Daily_Recovery.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "id": "e230f423", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Deaths = pd.melt(JH_deaths_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Death Cases')\n", - "JH_Daily_Deaths['Date'] = pd.to_datetime(JH_Daily_Deaths['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "id": "057b66ac", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Deathsdf= JH_Daily_Deaths.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "id": "b0836c34", - "metadata": {}, - "outputs": [], - "source": [ - "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "id": "e88a3fda", - "metadata": {}, - "outputs": [], - "source": [ - "Nigeria = JH_Daily_confirmed[JH_Daily_confirmed['Country/Region'] == 'Nigeria']" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "id": "2addb352", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Confirmed_Nigeriadf= Nigeria[['Date', 'Confirmed Cases']].reset_index(drop = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "id": "d8573def", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateConfirmed Cases
02020-01-220
12020-01-230
22020-01-240
32020-01-250
42020-01-260
.........
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9402022-08-19262748
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" - ], - "text/plain": [ - " Date Confirmed Cases\n", - "0 2020-01-22 0\n", - "1 2020-01-23 0\n", - "2 2020-01-24 0\n", - "3 2020-01-25 0\n", - "4 2020-01-26 0\n", - ".. ... ...\n", - "939 2022-08-18 262748\n", - "940 2022-08-19 262748\n", - "941 2022-08-20 262912\n", - "942 2022-08-21 262912\n", - "943 2022-08-22 262912\n", - "\n", - "[944 rows x 2 columns]" - ] - }, - "execution_count": 69, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "JH_Daily_Confirmed_Nigeriadf" - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "id": "d7bdc7dc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Confirmed Cases 135384240\n", - "dtype: int64" - ] - }, - "execution_count": 70, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "id": "25a3156b", - "metadata": {}, - "outputs": [], - "source": [ - "# Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 72, - "id": "864d686b", - "metadata": {}, - "outputs": [], - "source": [ - "Nigeria = JH_Daily_Recovery[JH_Daily_Recovery['Country/Region'] == 'Nigeria']\n", - "JH_Daily_Recovery_Nigeriadf= Nigeria[['Date', 'Recovered Cases']].reset_index(drop = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "id": "fc332724", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateRecovered Cases
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" - ], - "text/plain": [ - " Date Recovered Cases\n", - "0 2020-01-22 0\n", - "1 2020-01-23 0\n", - "2 2020-01-24 0\n", - "3 2020-01-25 0\n", - "4 2020-01-26 0\n", - ".. ... ...\n", - "939 2022-08-18 0\n", - "940 2022-08-19 0\n", - "941 2022-08-20 0\n", - "942 2022-08-21 0\n", - "943 2022-08-22 0\n", - "\n", - "[944 rows x 2 columns]" - ] - }, - "execution_count": 73, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "JH_Daily_Recovery_Nigeriadf" - ] - }, - { - "cell_type": "code", - "execution_count": 74, - "id": "e1dd3a3d", - "metadata": {}, - "outputs": [], - "source": [ - "#Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "id": "f77a30c0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Recovered Cases 39492087\n", - "dtype: int64" - ] - }, - "execution_count": 75, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Getting total recovered cases in Nigeria upto Aug. 2022\n", - "JH_Daily_Recovery_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 76, - "id": "d1ad4519", - "metadata": {}, - "outputs": [], - "source": [ - "Nigeria = JH_Daily_Deaths[JH_Daily_Deaths['Country/Region'] == 'Nigeria']\n", - "JH_Daily_DeathsNigeriadf= Nigeria[['Date', 'Death Cases']].reset_index(drop = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 77, - "id": "b411a9c2", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Death Cases 1774393\n", - "dtype: int64" - ] - }, - "execution_count": 77, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Getting total Deaths status in Nigeria upto Aug. 2022\n", - "JH_Daily_DeathsNigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 78, - "id": "b8aaf40a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateDeath Cases
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12020-01-230
22020-01-240
32020-01-250
42020-01-260
.........
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944 rows × 2 columns

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" - ], - "text/plain": [ - " Date Death Cases\n", - "0 2020-01-22 0\n", - "1 2020-01-23 0\n", - "2 2020-01-24 0\n", - "3 2020-01-25 0\n", - "4 2020-01-26 0\n", - ".. ... ...\n", - "939 2022-08-18 3147\n", - "940 2022-08-19 3147\n", - "941 2022-08-20 3147\n", - "942 2022-08-21 3147\n", - "943 2022-08-22 3147\n", - "\n", - "[944 rows x 2 columns]" - ] - }, - "execution_count": 78, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "JH_Daily_DeathsNigeriadf" - ] - }, - { - "cell_type": "markdown", - "id": "d5019c67", - "metadata": {}, - "source": [ - "# Task 4 - Analysis" - ] - }, - { - "cell_type": "markdown", - "id": "34c9c7c3", - "metadata": {}, - "source": [ - "Here you will perform some analyses on the datasets. You are welcome to communicate findings in charts and summary.\n", - "We have included a few TODOs to help with your analysis. However, do not let this limit your approach, feel free to include more, and be sure to support your findings with chart and summary" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1988bee1", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "6c7bced2", - "metadata": {}, - "source": [ - "TODO A - Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory test" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7b88cd24", - "metadata": {}, - "outputs": [], - "source": [ - "# To Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory \n", - "#First renaming columns from original dataframe fro link (data cleaning)\n", - "covidnig\n", - "covidnig.rename(columns = {'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths'}, inplace = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "id": "9a1b289e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
10Ondo179362169041
11Katsina1405214116724
12Enugu137634132121
13Kwara1296171109431
14Gombe116418395031
15Ebonyi109124103730
16Abia9802594510
17Osun9792093722
18Bauchi89710877514
19Borno7783770536
20Imo7346166112
21Nasarawa60026232513
22Benue5154446011
23Bayelsa4975542121
24Ekiti405243756
25Akwa Ibom395443429
26Jigawa3865731811
27Niger3816930012
28Adamawa3559623821
29Anambra299627419
30Sokoto2284017117
31Taraba203191777
32Yobe164331238
33Kebbi14351308
34Cross River9318111
35Zamfara791735
36Kogi5032
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" - ], - "text/plain": [ - " States Affected Number of Lab Confirmed Cases \\\n", - "0 Lagos 26708 \n", - "1 FCT 9627 \n", - "2 Kaduna 4504 \n", - "3 Plateau 4262 \n", - "4 Oyo 3788 \n", - "5 Rivers 3279 \n", - "6 Edo 2768 \n", - "7 Ogun 2382 \n", - "8 Kano 2032 \n", - "9 Delta 1843 \n", - "10 Ondo 1793 \n", - "11 Katsina 1405 \n", - "12 Enugu 1376 \n", - "13 Kwara 1296 \n", - "14 Gombe 1164 \n", - "15 Ebonyi 1091 \n", - "16 Abia 980 \n", - "17 Osun 979 \n", - "18 Bauchi 897 \n", - "19 Borno 778 \n", - "20 Imo 734 \n", - "21 Nasarawa 600 \n", - "22 Benue 515 \n", - "23 Bayelsa 497 \n", - "24 Ekiti 405 \n", - "25 Akwa Ibom 395 \n", - "26 Jigawa 386 \n", - "27 Niger 381 \n", - "28 Adamawa 355 \n", - "29 Anambra 299 \n", - "30 Sokoto 228 \n", - "31 Taraba 203 \n", - "32 Yobe 164 \n", - "33 Kebbi 143 \n", - "34 Cross River 93 \n", - "35 Zamfara 79 \n", - "36 Kogi 5 \n", - "\n", - " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", - "0 2435 24037 236 \n", - "1 2840 6694 93 \n", - "2 579 3877 48 \n", - "3 280 3948 34 \n", - "4 368 3374 46 \n", - "5 232 2987 60 \n", - "6 52 2603 113 \n", - "7 174 2175 33 \n", - "8 198 1778 56 \n", - "9 57 1737 49 \n", - "10 62 1690 41 \n", - "11 214 1167 24 \n", - "12 34 1321 21 \n", - "13 171 1094 31 \n", - "14 183 950 31 \n", - "15 24 1037 30 \n", - "16 25 945 10 \n", - "17 20 937 22 \n", - "18 108 775 14 \n", - "19 37 705 36 \n", - "20 61 661 12 \n", - "21 262 325 13 \n", - "22 44 460 11 \n", - "23 55 421 21 \n", - "24 24 375 6 \n", - "25 44 342 9 \n", - "26 57 318 11 \n", - "27 69 300 12 \n", - "28 96 238 21 \n", - "29 6 274 19 \n", - "30 40 171 17 \n", - "31 19 177 7 \n", - "32 33 123 8 \n", - "33 5 130 8 \n", - "34 1 81 11 \n", - "35 1 73 5 \n", - "36 0 3 2 " - ] - }, - "execution_count": 80, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "id": "7dbfc744", - "metadata": {}, - "outputs": [], - "source": [ - "#Sorting top 10 states with highest lab confirmed cases by using df.sort_values()\n", - "\n", - "covidnig_lab10confirmed = covidnig.sort_values('Number of Lab Confirmed Cases', ascending = False)\n", - "covidnig_lab10confirmed = covidnig_lab10confirmed.iloc[:10,]" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "id": "83f35642", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
\n", - "
" - ], - "text/plain": [ - " States Affected Number of Lab Confirmed Cases \\\n", - "0 Lagos 26708 \n", - "1 FCT 9627 \n", - "2 Kaduna 4504 \n", - "3 Plateau 4262 \n", - "4 Oyo 3788 \n", - "5 Rivers 3279 \n", - "6 Edo 2768 \n", - "7 Ogun 2382 \n", - "8 Kano 2032 \n", - "9 Delta 1843 \n", - "\n", - " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", - "0 2435 24037 236 \n", - "1 2840 6694 93 \n", - "2 579 3877 48 \n", - "3 280 3948 34 \n", - "4 368 3374 46 \n", - "5 232 2987 60 \n", - "6 52 2603 113 \n", - "7 174 2175 33 \n", - "8 198 1778 56 \n", - "9 57 1737 49 " - ] - }, - "execution_count": 82, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#checking top 10 states\n", - "covidnig_lab10confirmed" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "id": "2d8a31e5", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting top 10 states with corresponding confirmed cases\n", - "Top_10_covidngcases = sns.barplot(x='Number of Lab Confirmed Cases', y='States Affected', data=covidnig_lab10confirmed, color = 'blue').set_title('Top 10 covid cases in Nigerian States')\n" - ] - }, - { - "cell_type": "markdown", - "id": "1bb27389", - "metadata": {}, - "source": [ - "Lagos with the highest covid case and Delta is with the lowest." - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "id": "b92dd2a0", - "metadata": {}, - "outputs": [], - "source": [ - "#Generating a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values\n", - "covidnig_10Discharged = covidnig.sort_values('Number of Cases Discharged', ascending = False)\n", - "covidnig_10Discharged = covidnig_10Discharged.iloc[:10,]" - ] - }, - { - "cell_type": "markdown", - "id": "30a63c50", - "metadata": {}, - "source": [ - "TODO B - Generate a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values" - ] - }, - { - "cell_type": "code", - "execution_count": 185, - "id": "a35d2c2c", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "covid_disch_plot = sns.barplot(x='Number of Cases Discharged', y='States Affected', data=covidnig_10Discharged, color = 'blue').set_title('Top 10 covid Discharges')\n" - ] - }, - { - "cell_type": "markdown", - "id": "0ad7bc8a", - "metadata": {}, - "source": [ - "Lagos showing the highest number of discharges is because it has a high population figure, hihest number of confirmed cases and better health management system." - ] - }, - { - "cell_type": "markdown", - "id": "73ee3cb3", - "metadata": {}, - "source": [ - "TODO D - Plot the top 10 Death cases" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "id": "5d9f17bb", - "metadata": {}, - "outputs": [], - "source": [ - "#Plotting the top 10 Death cases" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "id": "ab31af8a", - "metadata": {}, - "outputs": [], - "source": [ - "#Generating a plot that shows the Top 10 states in terms of death cases. Hint - Sort the values\n", - "covidnig_10Deaths = covidnig.sort_values('Number of Deaths', ascending = False)\n", - "covidnig_10Deaths = covidnig_10Deaths.iloc[:10,]" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "id": "05873dbe", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "covidngdeaths_plot = sns.barplot(x='Number of Deaths', y='States Affected', data=covidnig_10Deaths, color = 'blue').set_title('Highest Death Cases')\n" - ] - }, - { - "cell_type": "markdown", - "id": "204b639c", - "metadata": {}, - "source": [ - "Lagos having the highest death cases also due to its high population and number of confirmed cases." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8dea2020", - "metadata": {}, - "outputs": [], - "source": [ - "#Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "id": "de574c85", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Lat 9.0820\n", - "Long 8.6753\n", - "1/22/20 0.0000\n", - "1/23/20 0.0000\n", - "1/24/20 0.0000\n", - " ... \n", - "8/18/22 262748.0000\n", - "8/19/22 262748.0000\n", - "8/20/22 262912.0000\n", - "8/21/22 262912.0000\n", - "8/22/22 262912.0000\n", - "Name: Nigeria, Length: 946, dtype: float64" - ] - }, - "execution_count": 93, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#extracting data for confirmed cases in Nigeria\n", - "confirmed_nig = JH_confirmed_global.groupby('Country/Region').sum().loc['Nigeria']\n", - "confirmed_nig" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "id": "eb9f4215", - "metadata": {}, - "outputs": [], - "source": [ - "TotalConfirmed=JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "id": "7658da46", - "metadata": {}, - "outputs": [], - "source": [ - "TotalRecoveries=JH_Daily_Recovery_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "id": "9a3442af", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Recovered Cases 39492087\n", - "dtype: int64" - ] - }, - "execution_count": 96, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalRecoveries" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "id": "1a7e95d0", - "metadata": {}, - "outputs": [], - "source": [ - "TotalDeaths = JH_Daily_Deathsdf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "id": "1b6acec0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Country/Region AfghanistanAlbaniaAlgeriaAndorraAngolaAntarcti...\n", - "Death Cases 3210225599\n", - "dtype: object" - ] - }, - "execution_count": 98, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalDeaths" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "id": "30b584e7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Confirmed Cases 135384240\n", - "dtype: int64" - ] - }, - "execution_count": 99, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalConfirmed" - ] - }, - { - "cell_type": "code", - "execution_count": 100, - "id": "4bb78c77", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Totaldeaths=JH_Daily_Deathsdf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 101, - "id": "b03e0e6d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
total
Confirmed Cases134858416
Recovered Cases39492087
Death Cases1768099
\n", - "
" - ], - "text/plain": [ - " total\n", - "Confirmed Cases 134858416\n", - "Recovered Cases 39492087\n", - "Death Cases 1768099" - ] - }, - "execution_count": 101, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Getting a dataframe for total daily cases\n", - "z = np.array([134858416, 39492087, 1768099])\n", - "df2 = pd.DataFrame(z, columns=['total'], index=[\"Confirmed Cases\", \"Recovered Cases\", \"Death Cases\"])\n", - "df2" - ] - }, - { - "cell_type": "markdown", - "id": "2ad89fb5", - "metadata": {}, - "source": [ - "TODO E - Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "id": "c134d84c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Confirmed Cases')" - ] - }, - "execution_count": 102, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for confirmed cases in Nigeria using seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Confirmed_Nigeriadf , x = 'Date', y = 'Confirmed Cases').set_title('Daily Total Confirmed Cases')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b4c5b23", - "metadata": {}, - "outputs": [], - "source": [ - "The apparent increase in daily confirmed cases are cummulative values" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "id": "fb51b47b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Recoveries')" - ] - }, - "execution_count": 103, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for Recovered cases in Nigeria using seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Recovery_Nigeriadf , x = 'Date', y = 'Recovered Cases').set_title('Daily Total Recoveries')" - ] - }, - { - "cell_type": "markdown", - "id": "d65ffa95", - "metadata": {}, - "source": [ - "Increased daily recovery cases were recorded. These records again were cummulative values. No record of recovery in Nigeria was recorded from 2021-09 because only death cases were recorded as cummulative lac confirmed cases increased as time of data retrieval in August 2022." - ] - }, - { - "cell_type": "code", - "execution_count": 106, - "id": "b7211359", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Deaths')" - ] - }, - "execution_count": 106, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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06dMBuOCCC1i6dCkfffQRa9asYerUqXv0XMLhMHPnzuXxxx/nzTff5M9//jPhcJiRI0dy6aWXMm7cuL06R0KIrkdVV1e3TyGYEEJ0E8lkkrPPPpsTTzyR2bNnd/ZyhBBCtIHUBAshxD564oknSCQSnHfeeZ29FCGEEG0k5RBCCLGXvve971FRUcGGDRsYNWpUtrZVCCFE1yeZYCGE2Es9evSgvLyc448/njvuuGO/9QYWQgjR/qQmWAghhBBCdDuSCRZCCCGEEN2OBMFCCCGEEKLbkSBYCCGEEEJ0OxIE72erV6/u7CV0eXKO2k7O1e7JOdo9OUdtI+epbeQ87Zqcn7bpCudJgmAhhBBCCNHtSBAshBBCCCG6HQmChRBCCCFEtyNBsBBCCCGE6HYkCBZCCCGEEN2OBMFCCCGEEKLbkSBYCCGEEEJ0Ox0eBK9bt47vf//7TJgwga9//es8/vjj2WOzZs3ihBNOyPnz5JNPZo8vXLiQiy++mNNOO42rrrqKDRs25Nz3U089xdSpU5k4cSIzZ84kmUxmjzmOw6xZszjzzDOZMmUKv//979v/yQohhBBCiC6pQ4Ngz/O49tpr6du3L0888QQ33HAD8+bN48UXXwRg7dq1/OhHP2LBggXZP+effz4AW7duZcaMGUyZMoXHHnuMXr16MWPGDLTWALzxxhs8+OCD/Md//Ae/+c1vWLFiBXPnzs0+9r333suSJUu4//77ufnmm3nkkUd4+eWXO/LpCyGEEEKILqJDg+Dy8nKOOuoobrjhBgYOHMhpp53GuHHj+Pjjj4EgCB4xYgSlpaXZP7FYDIBnn32WoUOHcumllzJkyBBuueUWysvLWbhwIQBPPvkkF154IePHj2fkyJHcdNNN/O1vfyORSJBMJnnuuee4/vrrGTFiBBMmTOCSSy5h/vz5Hfn0hRBCCCFEF9GhQXD//v2ZNWsWsVgMYwyLFy/mk08+Ydy4cVRUVFBbW8uhhx7a4m2XLVvGsccem/06FosxfPhwli5diu/7fPrppznHR40ahe/7rFy5ktWrV+M4DqNHj84eHzNmDCtWrMDzvPZ7wkIIIYQQ3YgxhsUVDp42nb2U3Qp11gNPnTqVbdu2ceqpp3LGGWfw8ccfY9s2Dz74IO+99x7FxcVcfPHFTJ06FYCKigpKS0tz7qNnz56Ul5dTV1dHOp2mrKwseywUClFcXEx5eTnhcJiioiKi0WjObV3Xpbq6utn9CiGEEEJ0V8YYlFJ7dVtXw7aUj6fDhLp4+4VOC4J/9atfUVFRwezZs7nnnnuyGeChQ4cyffp0Pv74Y375y18Si8U466yzSKVSRCKRnPsIh8M4jkM6nc5+vfNx13Xxfb/ZbRu/dhynxfWtXr16r5/bvty2u5Bz1HZyrnZPztHuyTlqGzlPbSPnadc6+vz4Buy9i1lbtDGpOCSv9UyuNmC18nhJH76qsVhVr8mzd/047XGehg4d2ubrdloQPHLkSABSqRS33XYbb7zxBpMnT6a4uBgInsT69et5+umnOeuss4hEIs0CVtd1KS4uzga0rus2Ox6NRlFKNbtt49eNNcc725OT2NTq1av3+rbdhZyjtpNztXtyjnZPzlHbyHlqGzlPu9YZ52d9ncegwj0P6dK+YXvap28897a12xwG9woTykS6a2o8DiuysTLZ4V09XkXSp7LKZXDvCIXh1lPBXeH7qMM3xr311ls5lw0ePBjXdUkkEtkAuOmxbdu2AdC7d28qKytzjldWVlJaWkpxcTHRaDTnuOd51NTUUFpaSu/evamrq8sJkisrK4lEIhQVFe3vpymEEEII0W42NeTuZ6pz9V7dj6cNFanmt035hq0JHwDHN6ypc6l1NGk/yA7XOK0/XtIzRCxw/a5fE9yhQfC6deu48cYbqaqqyl722WefUVJSwqOPPsp1112Xc/2VK1dy2GGHAcFGt8WLF2ePpVIpVq1axahRo7AsixEjRrBo0aLs8aVLl2LbNsOHD2fYsGGEw2GWLFmSPb548WKOPPJIQqFOS4YLIYQQQuTQJggejWk9iKxzco+lfPC1IekZ6hy/zY/laUON0/xxwhasqvXwtcHNbHDbmtBsT2l8bUh4ubfxm2yCS/qGkKXwun4M3LFB8NixYxk8eDAzZ85k7dq1vP322zzwwAN85zvfYfz48bz33ns89dRTbNy4kfnz57NgwQIuueQSAKZNm8by5cuZN28ea9as4fbbb6dPnz6MGzcOgAsuuIA//OEPvPHGG6xYsYI5c+Ywbdo04vE4sViMc845hzlz5rB8+XLeeustnnjiCaZPn96RT18IIYQQ3VRbuyVsrPcxxvDRNjcnuGxkjKFhpwgz7Rs8A2lfk2wlBtbGsG2ng55pPWMbtRRpbUj5hoilqEz71HsaVweZ4sbHNcawsWHH/aZ8g60g4Roa3LYH5J2hQ9OgoVCIu+++m1/96ldcfvnlxONxLrroIqZPn45Sil/84hc8/PDD3HfffQwYMIDbb7+dMWPGAEF7tcZNdI888gijRo3izjvvxLKCOH7y5Mls3ryZ2bNn4zgOEydO5Nprr80+9nXXXccdd9zBNddcQ35+PldccQWTJk3qyKcvhBBCiG5qZbVHWcyid7z13WLaGBKextE21Y4mrQ3xnXag+QZSOrccwdUGTxscHZQvtKQ8ofm81qVXzMrW9rp+sMHN1wa7yeMYAwZDZVJT62qitqLONTi+wTWGxtj8yzqPfnGLOldjjGFtnU/SM4QsqHU1jlYM67Gb3XGdqMNrAfr27ctdd93V4rFJkybtMjA95ZRTOOWUU1o9ftlll3HZZZe1eCwWi3Hrrbdy66237tF6hRBCCCH2laMNVWndahCc9g3lCZ+UH2SNQxbUu4ad9qzhmyB4bXo7CAJhxw/KF+pc3WxTWlXax1KKtA95mft0tUERlC40XZUxBgXUe0HNcGE4CJDTGtKeQangOikveE4pz+Bq2FjvEbUVtlLUu5p6V5Hf4DEgv2uWnnbxDm5CCCGEEJ1jV3W5e6oxi9oaTxsq08HmM1cHJQh1LWxA87ShabJ3Q72HAlJeENSmNdlNbU2ldfB8/CZrcLRBWSZbqpHwgppfzY5A1tVgKUXPqMLN1B3bKhOMG0O9a0j5kPCCWuBopldb0gMw1KT3btNeR5AgWAghhBCiBRvqc4PJqtTe1bg6fhC4+ruIB11t2J7W+AYcDSG1I8vbqNbx8bTBYLIBelVaYylI6yBgdf3cjWuN13N8g6VUTm2yb8BGZTe/fVHrkcg8pqWCTg9kqiQab9vgG2ylso/lGVDKUOtooMnjAvGQhduFN8hJECyEEEIIsRNjDPVebtS6PZPVNMa0OUtcnfZJeMH13V1sjnM0eDoIPtOewVLgmiA4/irTEm19fVAu0RiEQtApQmXKHIwJsruNG+cc3/Blvc+K7U72vutcw8rqoGWszgzZqHYMX9a5NLiGqkzLNEsFG+dKo01DxSA7bIxhc8IDgsDYUoptKR87Z8rcjjKNrkqCYCGEEEIclIwxe5299U3jR/o7NGZYNyX8TOZz9yUT29OaOkdjK9ViJrixJVraMxgyQbAOSg7SviHpaTY1+Gxs8KhzgoyrBayqCbpHGIJkrTHgmaA0obHkYVvKJ+EGJQzxUBDwNriGr+p9km6w8c62YH29x4b6ILitSmsMQbZXt/Dc0j7EQootCU0spPANKBO0Ros2GVvXGBB7XbhBhATBQgghhDgo+YYW++C2hachtVMrsmTm680NPmkd1Ocu3+62dHMgKF9IelDtaEIWaLWjp27SDep/39vqZGp5DT2jCpMpm1BK4WtDnRv82ZrwUQo2J31sBduSQelEEGoaPBOUXHjagAkuDepxg8uVUplMsMayoDyp2ZYMsrfpTJAcshRJT++oalC5nSkah2DYShEPBceCGmJDQSg3pCzJZJC1ant7uI4mQbAQQgghDiquNpn6WUjtqhB3Fzxj8JrUuKY8Q0ob0n7mb8+wucGn1glKHap3yjjXuz4fVbg4WlPraOxMujaZKbFYUe2yucHD9Q2LKhyqnWBjmTE7Mrkaxfa0piSisDJBbFHYQimFJgic80KKeMjCN0F5gzYGpQx+pmWaDh4WCOp6G9wgiK33Nb0ygWpRJGibFrYU2qhsC7WSSG4QHLIURTtdZlDNguWdroDfNWNgCYKFEEIIcXDZ1ODxRY2PZ0yrfXNbYoyhIrljXHCTGJj19R5upvNCRCmSviGZue+kb9jcZBDF2lqXJZUeEUvh6OC4UkHnhG0pjTZBicKGBp/CiCLpmewoYoOhsRQ5akFFUqMym9Ias8jxkCLPtrLDKiAININssCJiKVbXeDiZThJNyxo8DBaGtBdkh4GcMob8EORlsrx2C8Gt1VLA20WD3N2RIFgIIYQQBxVXB8nJoG9u8Hd9k3HCuoVa4bQfBKKbMu3FUv6Ofri+DmpxjYEaVxOxFbqx9ABDbVpT3aTsojptiIcUFrkT2Wyl2J4OAmClguyyrRRFEYtM3IlRilQm2A1Zih6ZbG0Qk+cGoAnXZINSzxg835BnQ9hSVKf9TOC8U4xqgnUkW3lzoHaV1W1BplfFHt2mq5AgWAghhBAHFV8HJQWpTAY26Wk2JXaURVSkNF81GfVblfL5uMLhs2ovG5ymmvTDdTTUukGZQWNm2TMG1wQBZ3kq6K+7osplSwqSmSA2bAW3bcrThs+qPcKZ4LdRceO/Tcs1tDtfFFLBVLbGQW+eH5RP5GeGZARjMIJ1khM8K2xr/9XpRq0g83wgkiBYCCGEEAe8pmUPOrNJLO0bLIJBEbVNotHtKU3jV8YYPt3uog3EMhne5dtdKtMahaI86eNk0qnGqGxQG/T9NYQtRUVKA4paV7MxZWXH8YasYANZryZtxiJ2MAQjbOWWIeRq+fKmGdeQBVWpTK0xNOvkkBdS5IUsduryRlFYZYP7/SFkBbXEByIJgoUQQghxQKl3fBJNojtPGz4sT2cDQZ9gM5irg8Ax6WkcvaOdWdNaYS+T6W1MxPp6x8f7loKVNR7lSU3IBksZdCaD6uhgUAQEAWhBWBGzFbYyRJoEt1FbNSsx6BG1Wi07CKkda8nVmNsls7YgwA5lAlBNy7dT5AbPETvY+NZq/N2NdM1hzkIIIYQQGcaYnKAx5QO+IWoZbEtlukAE9b9Rm+xmsMYRw+lM5UPQ4zYIfH0dBNO2ZRG1d2QzG/fDRSxFmGBz2pZMKzHNjgyqnwmCI5aiMLwj+ozZ+/ZcI61Ep/FQ8wg31CQD23QNuXauJA4UtxxpdytyBoQQQgjRZTm+oTyZu4nNyfTVXVvnkfRMpu51x3SyoFWuIp3ZFOZrQ0hBdWbiW9DbFpZUebg6d9yvNmSzvRBsFCsMW8TsoCtD42PFbIt8u3l3ha7GN2C1Ul7R3UkmWAghhBBdlmdMNpPbyNUGnRmEEbV88kJBJjflGQrCmT67mZpgBXgEGdbVtS5FUYVngoyx4wf33bQVmDYG00Kpgq0Utg3F1o784Z52UugM2oCSlGeLJAgWQgghRJfl+EHWtylXk52OVudqlLKIWoqUvyMTDI1DIgyuHwyaiIcUWxM+WkMkpDAEgXTTRK5B7bLvbUu9c7uyeEjqf1sj7w2EEEII0WWlvCDg3ZLwspf5GlJeMDY4rYOMb8RmRxCc2QRnVNA2rHFqnK0U251gzC8Em8aqHb9ZkGjMLqLgA0zIar4xTwQkCBZCCCFEl5XWGq1hS5M+v9oY6r0giHH8YMKapYINco31viFLgQnKJprWxCa9HX1zYzY4fm5Zg8HkbDgTBy8phxBCCCFEl5X2QWGoSutslwgNpH1Nj4hFyodEpvbXNTvalgWb1ZoHszG7sUwiCH7jO0VC+S10YRAHJ/mfFkIIIUSnaxxP3FTj0AvXBIHrB+UONWkf30BIqczIYJMtg3B9g6vNLssZbKUk0ysACYKFEEII0QWkfajaqQ3E2lqP8qSPpyEWUkQt+KrBRxuyI4fjIYu8TFGvq4ORxxLkiraQIFgIIYQQnaZx8ptnDKkde9/4otZlW0pTHLHwTFDuoJSizjM5I5Kb8oE610g3BNEmEgQLIYQQotNsavAxmelujYMoHN+wNaGJZaJZT+8Y/WsTjDNuiTFByzTJBIu2kCBYCCGEEJ2mzg3qflNeMM7Y04Yvar2dxg8bVGaTW8hqvaY3ZisqU7rFY0LsTIJgIYQQQnSaBjfo9+vqIBhesd2l1tGZTW8BY1SbAhZbKUqiEtqItpHvFCGEEEK0u8ba30bVqWATnKODMceODkYdlyc1O+dyfWNaLYEQYm91eBC8bt06vv/97zNhwgS+/vWv8/jjj2ePbd68mR/+8IeMHz+eCy+8kHfffTfntgsXLuTiiy/mtNNO46qrrmLDhg05x5966immTp3KxIkTmTlzJslkMnvMcRxmzZrFmWeeyZQpU/j973/fvk9UCCGEEFmrqz1SXuNYY8PmpI+faWdWndYk/WDIRTykst0eGvmm9TpgIfZWhwbBnudx7bXX0rdvX5544gluuOEG5s2bx4svvogxhhkzZlBcXMyjjz7Kueeey4033shXX30FwNatW5kxYwZTpkzhscceo1evXsyYMQOtg/eLb7zxBg8++CD/8R//wW9+8xtWrFjB3Llzs4997733smTJEu6//35uvvlmHnnkEV5++eWOfPpCCCFEt+Vow+bM6GNXQ60bbGKzlWJTwqcqrfF0y10fDEjHB7HfdWgQXF5ezlFHHcUNN9zAwIEDOe200xg3bhwff/wxCxcuZP369dx8880MGTKEyy67jGOOOYbnn38egGeffZahQ4dy6aWXMmTIEG655RbKy8tZuHAhAE8++SQXXngh48ePZ+TIkdx000387W9/I5FIkEwmee6557j++usZMWIEEyZM4JJLLmH+/Pkd+fSFEEKIbkuboBcwBJvfkq5hfb1PQVjR4BrSvmk1CO4ZtXJGGwuxP3RoENy/f39mzZpFLBbDGMPixYv55JNPGDduHMuWLWPYsGHk5+dnrz969GiWLl0KwLJlyzj22GOzx2KxGMOHD2fp0qX4vs+nn36ac3zUqFH4vs/KlStZvXo1juMwevTo7PExY8awYsUKPK9JU0IhhBBC7LGatE95wms1iG3c9OY2aYFmCDpDWCpogVYctnJaoQnR3jptY9zUqVP593//d44++mjOOOMMKioqKCsry7lOz549KS8vB6CiooLS0tIWj9fV1ZFOp3NuHwqFKC4upry8nIqKCoqKiohGozm3dV2X6urq9nuSQgghRDewNampSgfZ3JYEQa/BzRxP+oawDVELLKUwCiK2wgMk3ys6SqizHvhXv/oVFRUVzJ49m3vuuYdUKkU4HM65TiQSwXVdAFKpFJFIJOd4OBzGcRzS6XT2652Pu66L7/vNbtv4teM4La5v9erVe/3c9uW23YWco7aTc7V7co52T85R28h5apudz9NndQoNVEcMvaJQmYbiSDDYos4DD9icDDr95lUZ1iUU6Sab3YyBhIKkp7CUIWpzQFu/YX1nL6HLSPlQXGOItJB2bY+ft6FDh7b5up0WBI8cORIIgtvbbruNadOm0dDQkHMdx3GIxWJAELTuHLC6rktxcXE2oG0MmJsej0ajKKWa3bbx68b739menMSmVq9evde37S7kHLWdnKvdk3O0e3KO2kbOU9s0PU/GGJRSVGxNo4DeeRYDC0Js2ZrGi1oMKQ7zRa1LYcgilPJxfIMTssgr1PRrISqqczQRWxE9gHfBrd+wnkEDB3X2MrqMhGc4oizS7P+0K/y8dfjGuLfeeivnssGDB+O6LqWlpVRWVuYcq6qqolevXgD07t272fHKykpKS0spLi4mGo3mHPc8j5qaGkpLS+nduzd1dXU5QXJlZSWRSISioqL9/TSFEEKIbmF9fRDY+pma37QXlERYQJ1jqEj61DuGpG+wlcIoRcI39GgpLQhopBWa6DgdGgSvW7eOG2+8kaqqquxln332GSUlJYwePZpVq1bl9PZdtGgRo0aNAoKNbosXL84eS6VSrFq1ilGjRmFZFiNGjGDRokXZ40uXLsW2bYYPH86wYcMIh8MsWbIke3zx4sUceeSRhEKdlgwXQgghDkhpPwh2q9I+9W4w3c3TBtdAbSabG7NhbZ2HUcHGOIC43bwHcFNa+gGLDtShQfDYsWMZPHgwM2fOZO3atbz99ts88MADfOc732Hs2LH07duX2267jS+++ILHHnuMZcuWcd555wEwbdo0li9fzrx581izZg233347ffr0Ydy4cQBccMEF/OEPf+CNN95gxYoVzJkzh2nTphGPx4nFYpxzzjnMmTOH5cuX89Zbb/HEE08wffr0jnz6QgghxEGhxtHZccdVaY2tIGoFgXCDZwhbCkspUj4YDY7ftvv1jZFRtqLDdGgaNBQKcffdd/OrX/2Kyy+/nHg8zkUXXcT06dNRSnHnnXdy++23c9lllzFgwADmzJlD//79gaC9WuMmukceeYRRo0Zx5513YlnBj8vkyZPZvHkzs2fPxnEcJk6cyLXXXpt97Ouuu4477riDa665hvz8fK644gomTZrUkU9fCCGE6NK0MVhN+vHWOj5R2yJqK4zZ0fkh6WlClsLzDSnfoI0hL2ThaIPTpENEr6gi6UNaa2L27sPbgpD0AxYdR1VXV0tDvv2oKxR6d3VyjtpOztXuyTnaPTlHbSPnCZZWOhxeFCIeDgLW5VUu/eIWPWM2FUmfiA1bv1yDKTsMYwyVaUPUVqR9TTxkkfI0YVthd+NAVjbG5Up4huNkY5wQQgghuipXB2OMNyZ8fG1ocIN634RnqHV8ah1NKlPW4GtDvQdgMvW+QYCjUW0ufRCis8muMCGEEEKwutolaivcTInDymofzwSZvKq0xtcQtoIPj10D9a4mHlKZKXE7sny6k9YvxJ6STLAQQgghsm3MPAMNnqEy7ROxwNOGeldT52oaPMOSGot6z+BpCCkwqOyoY1tJYCEOHPK9KoQQQnQT1Wk/265sZ14mhetqQ52j6Rm1CFuKBi8IdF0Nda7Gx2AZMJjMJjaTzQNHbUVeqPvWA4sDi5RDCCGEEAe5esfPBLGGkBW0MGvKGIMmKGvwNTiZrHDjsbgd9PitdoLxt7GQIhYKZhvHQ5JPEwcmCYKFEEKIg1ytG2R/U74h4RkiliHSZLe+q8GY4GvfQIMflDoAOdczaBlmIQ4a8vZNCCGEOMjVOkEXB98EPX7X1XmkvGDcMQQlEI11vUBOr9+mekbtDlmvEB1BMsFCCCHEQawi5bM97WNbNsYYUp6i2tG42qUobDGwMETaN9iZyt48GxlYIboFyQQLIYQQByBtDHVtaMpbldKELYXW4BnwTJAVrnYMmxI+jm+odjSRTJJXAmDRXUgQLIQQQhxgjDEkPcPiSi87zthr0vWh6b8dbQhZCt8YdKb9maWC+uCQBV81eJnLJPgV3YsEwUIIIcQBwtWGD8rTfLrdpdbR+Mbg6uDyDfVBVjjlGb6o9QDYUO+RztT3+gRZYC+zCa4kEow3rnMNCbflGmAhDmYSBAshhBBdTMozfBXMJc7haoOnDa7JtDtTQabX8Q3b00EQXJHyqXMNH21Ls67Op8HLBMEatAlqfmMhspnfGkcjOWDRHcnGOCGEEKKLSfmaypRPn7iNAYwJWpU5vsFC4WtDWkHYUmxJ+EQtRTKT8d2e1jiewShDYdiicaRx0B3CELEsmvZ4CK4jRPcjQbAQQgjRhWyoCzLAaQ2f13jZYPiI4jApLxhN7BkgU9O7sd4nFgo2vq2tdTMDMWg2ECPhGfJlmpsQWfL2TwghhOgijDFsdzRJP+jpW+No8sMWKb9x2IUmZJHt9GAphWeg3jXEw4qqtCbPDrLGO3d5KI5YhGTShRBZkgkWQgghuoggoNVYyiLWZFJb4+Y2RweBr8ZgtAFL0SsajDO2pbuDEHtEMsFCCCFEB2psadYSX0PSC0oXmnK0QZsdE94ATKbWVylFSVR+nQuxp+SnRgghhOhA6zI1v642zQJizwTjiz2dexttIOkZnMzVgxHH0tZMiH0hQbAQQgjRQbQxbE4ErczKkz51bm606/iGqK2I2rm3i1qKqpQmlckQ54cs4iH5FS7EvpCfICGEEKKdNZYxpHxDyg9KIlKeoTKlMcawod4j5RkcPwh4d67vDVmKrSkfX5K/Quw3sjFOCCGEaGefVDpELEWvmIWt4LNqDwtwjSHtw8YGn+q0piiisFtJT/kaIpK6EmK/kSBYCCGEaGe+hjpf4+igh+/mBp+yPIsGV1Pj+KT8IAscCzXPAjeK2tL9QYj9Sd5TCiGEEO3ImKCzQ8xWNLiGkFIYgtIISylW1fjEbUXYCoJlIUTHkEywEEIIsR/VOT4pH/JCUBC28UzQzsxWiuJIkM31TdAdIh6yiGQ2wSW8IFMshOgYEgQLIYQQ+9GX9T6WUtS7mr55htI8K9PSbEc5Q9gK+gHnUqT94JgQov3Jj5oQQgixB+ocv1l/X7dJBrfWMdQ6GlsFPYGr0xrFTt0eFLg7J31V7v0IIdpXhwfBGzdu5Prrr+fMM89k6tSpzJ07l3Q6DcCsWbM44YQTcv48+eST2dsuXLiQiy++mNNOO42rrrqKDRs25Nz3U089xdSpU5k4cSIzZ84kmUxmjzmOw6xZszjzzDOZMmUKv//97zvmCQshhDiofNXgs9NANz7d7lLn+Nmv034wxrgwrFhT57PznjalFD0jO11oZACGEB2pQ4Ng13X58Y9/TCQS4aGHHmLmzJm8+eab/Pa3vwVg7dq1/OhHP2LBggXZP+effz4AW7duZcaMGUyZMoXHHnuMXr16MWPGDLQOdhG88cYbPPjgg/zHf/wHv/nNb1ixYgVz587NPva9997LkiVLuP/++7n55pt55JFHePnllzvy6QshhDgIVDsGJ9OwtzEjbIAV2z20MVhAYXjHSOOwarm1mdqpC4StVLNJcUKI9tOhQfDy5cvZsGEDP/vZzxg8eDBjx47le9/7Hi+++CIQBMEjRoygtLQ0+ycWiwHw7LPPMnToUC699FKGDBnCLbfcQnl5OQsXLgTgySef5MILL2T8+PGMHDmSm266ib/97W8kEgmSySTPPfcc119/PSNGjGDChAlccsklzJ8/vyOfvhBCiAOMMYZV1W7OZa42pH3DlgafL2qDwl5PGzSG2rRGA1aTADdqq2YBb0uitsoGz0KI9tehQfChhx7K3Llzicfj2cuUUriuS0VFBbW1tRx66KEt3nbZsmUce+yx2a9jsRjDhw9n6dKl+L7Pp59+mnN81KhR+L7PypUrWb16NY7jMHr06OzxMWPGsGLFCjyv2c4EIYQQAoBtKR2UP2RqdRv/rncNXzZ4VDtB6tY3ELEUW5N+q/fVFm0JloUQ+0eHBsElJSWccMIJ2a+11syfP58xY8awdu1abNvmwQcf5Nxzz+Xiiy/mhRdeyF63oqKC0tLSnPvr2bMn5eXl1NXVkU6nKSsryx4LhUIUFxdTXl5ORUUFRUVFRKPRnNu6rkt1dXX7PWEhhBAHtC0JnzxbUZ0Ogt2EF2x425TwMRocP8gMax2UM1SlDRLGCnFg6NQWaXPnzmXlypU8+uijfPzxxwAMHTqU6dOn8/HHH/PLX/6SWCzGWWedRSqVIhKJ5Nw+HA7jOE52Y104HG523HVdfN9vdtvGrx3HaXFtq1ev3uvntS+37S7kHLWdnKvdk3O0e3KO2mb16tUYA40J2ZU1iogFiXLDgBhsTkG1F7QyywtB2odIlWF9QhGzO3ftHWn9hvWdvYQuTc7PDikfimtMi3Xx7fG6NHTo0DZft1OCYGMMd999N3/+85+54447OPzwwxkyZAiTJ0+muLgYCJ7E+vXrefrppznrrLOIRCLNAlbXdSkuLs4GtK7rNjsejUZRSjW7bePXjTXHO9uTk9jU6tWr9/q23YWco7aTc7V7co52T87R7nnasPaLzxk6dCjLqxwGF4UIW4pt5Q7xkCJqQTikoM7nsOiO3+a+MRRHLA5JauKh7pEDXr9hPYMGDursZXRZcn5yJTzDEWWRZmO/u8LrUoe3SNNa84tf/IKnn36aWbNmMWHCBCCog2oMgBsNHjyYbdu2AdC7d28qKytzjldWVlJaWkpxcTHRaDTnuOd51NTUUFpaSu/evamrq8sJkisrK4lEIhQVFbXXUxVCCHEA0MbweU2wP8QYw5aET8ozbG7wM0MuwDFBfXBxpHlHhxpHWjoIcSDq8CB47ty5vPTSS8yePZvTTz895/Lrrrsu57orV67ksMMOA4KNbosXL84eS6VSrFq1ilGjRmFZFiNGjGDRokXZ40uXLsW2bYYPH86wYcMIh8MsWbIke3zx4sUceeSRhEIyNE8IIbozx4etSR9toMEzmWlvhrV1HqFMXUSDa/C1aXHjWtpH6oCFOAB1aBC8dOlS/vjHP3LllVcyYsQIKioqsn/Gjx/Pe++9x1NPPcXGjRuZP38+CxYs4JJLLgFg2rRpLF++nHnz5rFmzRpuv/12+vTpw7hx4wC44IIL+MMf/sAbb7zBihUrmDNnDtOmTSMejxOLxTjnnHOYM2cOy5cv56233uKJJ55g+vTpHfn0hRBCdEEpX6MNfFavWFntEbKCYLjBM01GGBvydp54kREPKfK6SSmEEAeTDk2Dvv766wA88MADPPDAAznH3n33XX7xi1/w8MMPc9999zFgwABuv/12xowZA0D//v2ZPXs299xzD4888gijRo3izjvvxLKCV6jJkyezefNmZs+ejeM4TJw4kWuvvTZ7/9dddx133HEH11xzDfn5+VxxxRVMmjSpY564EEKIDrc95eMbsBUURixClmJrwiMvZOFrQ0lmJ1u9aygMK2qBmrSmMKKoczQlESvb7zce6vAPToUQ7UxVV1fLjMb9qCsUend1co7aTs7V7sk52r3udo6MCcoWPt3u4mUmug0uDFEQtvh0u0t+SJHwDYMLQ0Rtxapql4RnWL9hPX36DySaaYlWGFHY0re3Gdn4tWtyfnIlPMNxsjFOCCGEaH8b6n20MdS5mnrHUJM21DtBMJz0NFVpTUVSszIzCS6td+SCGn9Re8ZIACzEQW6vg+DPPvuMN954g/r6+v25HiGEEGKfVDsax4ekZ1AqaGNW5wUdHDSZwRfKkPSD4DflyQeiQnRHbQqCq6qq+OEPf8hDDz0EwDPPPMO3v/1tbrrpJi644ALWrVvXnmsUQggh2izlGxKexjdgKYjZirRvcPygw4NnoCBkobVhW8LHbbHDmWSBhTjYtSkIvv/++/nss88YPnw4APPmzeO4447j0UcfpX///s02uQkhhBCdJe0bahyNBfjaELUVtY7mk0qHpmWJeSGL1bVei5OsCsMSBAtxsGtTEPzee+/xwx/+kNNOO43PPvuMbdu2cfHFFzNixAj+7d/+jU8++aS91ymEEEK0iSIYbBGyFTqT0Y3aChsIWYoeTQZexEOKkNU84N15E48Q4uDTphZp9fX19O/fH4D333+fSCTC8ccfD0BeXh6e57XfCoUQQojdKE96lMZsLBV0dEh5YFsGlQmCbaWyFQ4tBb1CiD2njaHGMVSkNBUpP/N38Kcypal2NIMKbO77Wgl94nZnL7eZNgXB/fv3Z+XKlRx//PG8/vrrjBkzhmg0CsA777yTDZCFEEKI/aGxzVkjVxvCmeB152MAGxs0VSlN37gNGIoiFikPjDJIfa8QeybpGbanNdvTQTeVakdT65igs0qTYLcypdndvtLPqj1++Uktc79W0jGL3wNtCoK/+c1vcs899/D888+zbt065syZA8ANN9zA22+/zQ033NCuixRCCNG9rK/3ObRwx6+oDfU+gwpsQpZifb1P/3ybrxp8Dstcp97RpG1FWvuYTIAcCykkABYikPIM253gzWJVkwC3abAbfL2jc8r+8uE2Z7/e3/7SpiD4ggsuoKCggMWLF3PVVVcxYcIEACKRCDfeeCPnn39+uy5SCCFE91KV1hxauOPrWscn5VsUWIrqtE/SM2xJ+JTFrGxdr6ehwZV2Z+Lg5WlDvWuodzX1nqHOMdR7OnNZpjf2Tv+ucdonsN0TWxIttmDpdG0emzxlyhSmTJmSc9l//ud/7vcFCSGEELVpjTYmO7bYM1DvGArCgFJ81eARCymWVLqMLYsAhsKwRYNnACmBEF2XNkGQWpsJZmudIGCtcw21js4c05lANrhOEOwaEl2wp3V+SFEas3b6Y3Pf8noa59BUpTUpz2Q+nek62hwEJxIJ5s+fzwcffEBFRQW//OUveffddznqqKMYO3Zse65RCCFEN2KMwTVQ7xqKMp0cFFDravpi42pDr5iNp4MaxaS3I+iNWiABsOhoxhgavOD78bN6iy82pbJlB1Vpk1NuUJXW6K4Xy+YIKSiJWvSMWpRk/hRHFMWR3GC3V8wm3kpg+z+fJ6hI7cgAb0nuKF/qKtq0moqKCr73ve+xdetWhg8fzvr163Fdl08++YQHH3yQe++9l+OOO6691yqEEKIb8AwoBUsqXU7uE6Ha0Xg62BwH4PkQCgVdHorCFnWOxmSyv9L5Qexvxhi2pTRfNfhsS2m2JTXbUj6VKU1lekeNrZON96JAXSeuuGWNgW1jcBsEuCon2G28vCCsmm0+3VOlMSsnCN7UcIAGwb/+9a/xfZ/58+dTVlbG1772NQDmzJnDj370Ix566CEJgoUQQuy1iqRPaV7QQsnTELYUST8ILL6o8dDGkPZhQ72HafK7OWTB1pRPeB9/YQtR52i+Svisr/dZW+uxts5nS8JnS9In5Xf26gIKyA8rCsOKgpBFYURREFYUhC0KQk3+nblOYdiiMBwEuoX7IbDdE6UxC0UQeA8qsOmKye82BcHvvfce119/Pf369cP3d3wnhEIhpk+fzi9+8Yt2W6AQQoiDm+MbtqWCINjVhuXbHULKEA5ZpH2Na4Jf/q6GzQmfvCaDLEKWoiLlUxrrej1IRddkjGFtnc/ntR5raz3W1Pl8UevlZC3bWzwUBKlF4SCQzf13ELAWZP4uDCsKI0GQGw8HfbAPBDeNKSRmKxwNx5VFuuQAmjYFwa7rkp+f3+IxpZQMyxBCCLHXUr7OdnVYU+uR8CDPDsZc1DkGC0NeyAo2BRmajTkOHSBBgeg8xhje2+rw5uY0iytdtiT3f8AbtaBnzCIfl35FeTnlBT1juSUHXTEg3N8KwsEPqtOFC6DbFASPHDmSP/3pT5x66qnZyxpT6gsWLGDEiBHtszohhBAHvQbXoIGEp9mW9CkK74hy6zyT7fsbtlre8tYjarVwqejOtDFsqPdZtt3l4wqXf5Q71O5D+7z8kGJggU3fPJuyPIuymEWvzOawntHg33l2UG6wfsN6Bg3sux+fjWgvbQqCr776aq6++mouvvhivva1r6GUYsGCBTzwwAMsXLiQ+++/v73XKYQQ4iBV7xkUQTeI8E4b2+pdTWMx4c7HhGiqxtF8WO7w3laHD7c51O9h0BtScEi+Tf98m8MKbQYXhhhUYNMnz6Y40rH1tKJjtCkIPuaYY/jNb37D/fffz5NPPokxhqeeeoojjzySuXPnSos0IYQQOTY1eJTl2YQtRVXKpyhiZTs3NB177GlDwjVoEwS84Z2Suq7ffESyEI02Nvi88VWKt7c4rK7x2rz5KqRgbGmYI4pDDC4McXhRKDuRUHQfbe5VMXr0aP77v/+bdDpNbW0tBQUF5OXltefahBBCHKA2J4LAN2wpNiV8orbK9kZdVOlwfFkEgA/KHVQmdEl6O4ZjNIraComBRVNraj3e2pzmva0OK2vavicpasGxpRH++bAYx/aKdLnBDaLjtTkITiaT1NfXU1ZWRklJCU899RRbtmzhzDPPZMyYMe24RCGEEAeapGdocIMJb3WuIe0b1tV5FIQVxsBn1R6lMQsbCNuKtB9cL7bThiHJzAkIPjH4+xaHZ9YmWVzltuk2BWHFiB4hju4ZZmxphCN7hOT7SeRoUxD82Wef8cMf/pB//ud/5gc/+AFz585l/vz5xONx/vznP3PnnXdmewcLIYTo3jxtUCoob+htLLQO6n3LkxpDsDO+Oq1RkM3GxbtWD33RRayp9XjqiwTvbnWoa0ON7+FFNif3jnJynwhHloQOmHZionO06WXnN7/5DX379mXatGk4jsPf/vY3vvGNb3DjjTfy85//nHnz5kkQLIQQ3Zw2QTmDq0GhSHgGRwfT36rSGt8EnSCC9lCGGkc3y/wKAfDpdpcnVif4+1Znl9dTwDG9wpzRP8pp/aL0lE4hYg+0KQhetmwZP/vZzzj00EP58MMPSSaTnHvuuQBMmTKFm266qV0XKYQQomtKeoaQBdUpTa2nObwojOMHPVjrXM3G+qBmsyqtKQgpHD8IgiOWos5rXv4guq+0b3hxQ4rn1iVZU7frEW2je4X5p0OijCuLUJYng1LE3mlTEGyMIR6PA/D+++9TUFDAUUcdBQSDNMLhcPutUAghRJf1VYNP1ILVtR5leUEWLq2D3fcR22Jjg09+SBEPWWhjSGZim5ClKJJfHYKgfObFDSkeXZXY5dS2orBiQr8o5w/OY0iR1M+Ifdem76IjjjiCV199lSFDhvDKK69w8skno5TCdV3mz5/P0KFD23udQgghuqBa10ehKIkokp7J/NGEMp9Ku3rH5jZLKUqiOzK/Uq/ZvdU6mqfXJnnhyxSV6daD3yN7hLhkaJyT+0Tke0bsV20Kgq+88kp+/OMf8/zzzxOLxbj00ksBuOCCC6iqquKee+5p8wNu3LiRu+++m8WLF5OXl8dZZ53F1VdfTTQaZfPmzcyaNYvFixfTt29f/r//7//jlFNOyd524cKF3H333WzYsIGjjjqK//f//h8DBw7MHn/qqad4/PHHqa+v54wzzuCGG27ItnFzHIc777yT1157jXA4zMUXX5x9HkIIIfbcxnoPXysSnqY4YmG04ZMKhx5RK9vqrFdUghaRq9bR/OmLJE+vTZL0W97sZgFjSsNcfESc40rD0itatIs2BcHjxo3jySefZMWKFRxzzDH06dMHgG9961scf/zxHHHEEW16MNd1+fGPf8zgwYN56KGH2L59O7/4xS8AuPbaa5kxYwaDBw/m0Ucf5e233+bGG2/kj3/8IwMGDGDr1q3MmDGDyy+/nFNPPZWHH36YGTNm8OSTT2JZFm+88QYPPvggt912G6WlpcycOZO5c+dy8803A3DvvfeyZMkS7r//fsrLy7n11lvp27cvkydP3pvzJoQQ3U6t4xNSing4KG1YW+sRsYONcBD09PWNoSIZ9AgGJHgRWSu2u9lOD24rid+wBecflseFh+dRGpNaX9G+2lxUM2DAAAYMGJBz2UUXXQSA1hrL2v2OzOXLl7NhwwYeeeQR4vE4gwcP5nvf+x5z587la1/7GuvXr+d3v/sd+fn5DBkyhA8//JDnn3+eq6++mmeffZahQ4dms7e33HILZ599NgsXLuSEE07gySef5MILL2T8+PEA3HTTTfzgBz/g2muvRSnFc889x1133cWIESMYMWIEl1xyCfPnz5cgWAghdtLY5WFnlSmNq2FYD4sllQ6eAbShRyS3xKEoIoGvCNS7mve3Ovz1y9Qu+/vGbDhzQIzLhsXpLRvdRAdp88a4l156iY8//hjHcTDGZC9PJpMsW7aM//3f/93t/Rx66KHMnTs3u8kOyNYWL1u2jGHDhpGfn589Nnr0aBYtWgQEHSqOPfbY7LFYLMbw4cNZunQpxx13HJ9++imXX3559vioUaPwfZ+VK1di2zaO4zB69Ojs8TFjxjBv3jw8zyMUkgJ7IYRoVJHU5IcV+TvNME77kPA0rjZUpgx5oSD7K3WaoinHD8piXvkqzVub0zitl/vSI6K46PA4Xz8sRjwk7c1Ex2pT9Pff//3fPPzwwxQUFOD7PqFQiFAoxPbt27Esi/PPP79ND1ZSUsIJJ5yQ/Vprzfz58xkzZgwVFRWUlZXlXL9nz56Ul5cDUFFRQWlpaYvH6+rqSKfTObcPhUIUFxdTXl5OOBymqKiIaDSac1vXdamurm52v0II0Z2lfYOlIH+n7g1pbXA1JD1NXggJWkSWpw0flju8vikYZ9zg7XqwRb+4xbRD8zj/sDzyZHyx6CRtCoIXLFjAP/3TP3Hbbbfx3//932zevJmf//znrFixguuuu45DDz10rx587ty5rFy5kkcffZQ//OEPzVqtRSIRXDf4+CSVShGJRHKOh8NhHMchnU5nv975uOu6+L7f7LaNXztOy424V69evVfPaV9v213IOWo7OVe7J+do9/bkHG1Igg30z4OkF9RpOhpWJRRGQ6rcUOkoDsYYeP2G9Z29hAPC+g3rg++JBovFtTbvb7ep8XYfzB5V4HNOb49RhRqlGti2uQMW2wnk+2iHlA/FNYZIC68X7fHavScdy9oUBG/bto0pU6aglOLII4/kpZdeAmDkyJFceumlPP/880yfPr3ND2qM4e677+bPf/4zd9xxB4cffjjRaJSGhoac6zmOQywWA4KgdeeA1XVdiouLswFtY8Dc9Hg0GkUp1ey2jV833v/O9rbt2+rVq6Vl3G7IOWo7OVe7J+do9/b0HJlqF2NgaEmYjfUeloLqtGaohgZXEwtZFB+Eybv1G9YzaOCgzl5Gl2WMYW2dzyury/ncjbO40t1lqUOjvnkWpw+Ickb/GEOLD/7yQ/k+ypXwDEeURTKTInfoCq/dbfpuzMvLy+7wHThwIJs2bSKVShGLxRg2bBgPPfRQmx9Qa83tt9/Oiy++yKxZs5gwYQIAZWVlzd4RVFVV0atXLwB69+5NZWVlzvHKykoOP/xwiouLiUaj2a8BPM+jpqaG0tJSbNumrq4uZ7BHZWUlkUiEoqKiNq9dCCEOdg2uRhvwM3s/Ep7B14akb7CVImwpGjxNUfggTAOLZqrSmo+2OSzc5rBwm5vp5xsGWt/kBlASUZzaL8oZ/aOM7hVucaOlEJ2tTUHwyJEjeeGFFzj55JMZOHAgoVCIhQsXcuqpp7Ju3bpmpQa7MnfuXF566SVmz57Naaedlr181KhRPProoySTyWxv30WLFjFq1Kjs8U8++SR7/VQqxapVq7j88suxLIsRI0awaNGibM3x0qVLsW2b4cOHY1kW4XCYJUuWcNxxxwGwePFijjzySNkUJ4QQQHnCp0fUYn29h6ehzjVsS/r42lDtGDSQH4KIrYjIqOOD2sZ6j5c2BrW9n9d6bb5dPKQ4o3+USYdEGdUzLBsmRZfXpgjw29/+Nj/4wQ/44Q9/yH333cc555zDz3/+c4499lg+/PBDTj/99DY92NKlS/njH//I97//fUaMGEFFRUX22NixY+nbty+33XYb//7v/84777zDsmXL+OlPfwrAtGnTeOKJJ5g3bx4TJ05k3rx59OnTh3HjxgHB4I5Zs2YxdOhQ+vTpw5w5c5g2bVq2E8U555zDnDlz+NnPfkZlZSVPPPEEP/nJT/boZAkhxMGoKuWzqsZjTGmY7emgdi/PhjpX4xrIC6lsVyBx8HG1YVmVyz+2OXxQ7vBFrd/m2/bJszi+LMK4sggn9Y4Qk01u4gDSpiB47NixPPbYY6xatQqAH//4xxhjWLx4MZMmTeLaa69t04O9/vrrADzwwAM88MADOcfeffdd7rzzTm6//XYuu+wyBgwYwJw5c+jfvz8A/fv3Z/bs2dxzzz088sgjjBo1ijvvvDPbn3jy5Mls3ryZ2bNn4zgOEydOzFnXddddxx133ME111xDfn4+V1xxBZMmTWrTuoUQ4mC2rs4HDGnPkPYNoIiHFK4f7Pq3lJKhFwcZTxs+rnB5Y1Oat7ekqXfb9iYnZsOIfJ/TBhVzfFmYgfm2fG+IA5aqrq6Wt/f7UVco9O7q5By1nZyr3ZNztHu7Okefbney2d9eMZv19R6WUhSGg+4PDa5ptqHlYHWwb2jytGFRpcv/bQr699a2IfBVwPAeoUy2N8zIkjCbv9pwUJ+nfXWwfx/tqYRnOO5A3Rj30UcfEQqFcgZNGGO45ZZbmDZtGieeeGK7LlAIIUT7qXUNMTsIdqodTdiCpGcgrEi4Bs9AdLf3Iroq3xiWVAYZ37c2p6l2dh/4WsDRvcL80yFRvtY3SnFLva2EOAjsMgieO3cuf/zjHzn//PNzguCtW7fyzjvv8Oqrr3LZZZdx9dVXt/tChRBC7F/aBJ0fopmGv9vTmqKIojFhk9KGmNU9ssAHk7QfDK54b6vD++UOVend9zErjihO6h3hhN4RjiuN0CMqga84+LUaBL/22ms8+eST/Ou//mvOOGKAvn378uKLL/Kb3/yGxx57jKOPPppTTz213RcrhBBi331e41KdNhzdK0yQAw74xmArC9sOvg4r6QRxoGhsZfbuVof3tqZJtWFvW1FYcVq/KBP7RTm2NExI3vCIbqbVIPhPf/oTU6ZM4Uc/+lGLx2OxGNdffz0bN27kySeflCBYCCG6sKRnWF3tMrDQpjKl8Q0kXQ0EG+EA8nYKeGWcbde2Pa15Y1Oa179KsXy7R1s2+OSHFKf1i3B6/xjHSeArurlWg+C1a9dy8cUX7/YOzj77bO666679uighhBD7rrGtmTGwPe2T1oYv6zz8TLRU7RhCTXb258sAjC6vMqV5Z0uaNzenWVTpotsQ+cZDiq/1iXD6gCjHl0Ykuy9ERqtBsOu6bRqCUVRURCqV2q+LEkIIse+2pYJa0E1p6JHUmWlvBoVBoahI+Ujc27UZY1hV4/H3LQ4fVzhtzviWxizG94vytT4Rju4ZlsBXiBa0GgQPGDCAVatWcfLJJ+/yDlatWkXv3r33+8KEEELsvYSr2ZrwiViKBk+h05qeUQswRDIfgde7RjZAdUHGGD6t9nhzc5o3N6XZktz9xjaAYcUhTugd4cTeEY4qCcmoYiF2o9Ug+PTTT2f+/Pl8/etfp6SkpMXrbN++nT/96U+ceeaZ7bZAIYQQbednPh/flPCpcw1R2+AaKM3U9+ZnOkEYY7Al/u0yfGNYsd3jzUwrs/JU2wLfIYU2Zw6IccaAKP3idjuvUoiDS6tB8PTp03nhhRe44oor+P73v88pp5xCLBYDIJlM8u677/Lb3/4Wz/PaVDsshBCi/W1Pa+o9ja+DWtCUb0j5NGtUrzIDMUTnSXmGD8od/m9zmn9sc9o8tW1YcYgJ/aKc1i/CoII2DX4VQrSg1Z+egoICfv3rX/OTn/yEm2++Gdu26dGjB1prampq0Fpz+OGH88tf/lLKIYQQoouodTXb08EADICYrYhLnNRlbKz3+PtWh4+2OSyudGlDC1/CFpzYO8KpfaOMLQ3TO08yvkLsD7t8aRw0aBCPPfYYf//733n33XfZunUrtm3Tr18/TjrpJE466SRsW34YhRCis21P+ZTEbNKewdMGT1pfdQmuNny63eWjCpcPyh0+q/badLuYHQS+E/pFOalPhHhIaleE2N92mx+wbZvx48czfvz4jliPEEKIvbB8u8tJfSzSGnwDjm8ISyDcKdK+4eMKh79vcXhzc5q6NpY5FIUVx5cFge8JvSPSp1mIdiYfkgkhxAFqba3H4KIQad/g6qCHbMozGAyuVtL+rAN5OqjvXbA+xcJtTpvKHADKYhYT+kWZ2D/KSOnoIESHkiBYCCEOQL42rK3zKIsp1jdoCsOK9fUePsEADEfvmAQn2oc2hsWVLm9tTvP2FoeKNnR0UMDoXmHG94tyXGmYQQU2SgJfITqFBMFCCHGA2Zrw2ZbyiduKjQ2a6rQmHgoGYcRshQLcNmYixZ77qsHnlY0pXtyQalMP36Kw4qQ+EY4tjXB8aZgy2dgmRJcgQbAQQhxgqlI+ad8QCykq0z6Kxh7AOzKKBdL+bL9KeJpXN6b565cpVtfufnNbnzyLk/tEOLl3hLFlEanPFqILkiBYCCEOAL421DqakpiNY8Bu8hF6TBKL7UIbwycVLm9sSvPaV2mS/q43uOXZijMHRDl3UIwje4SkzEGILq7NQfB7773HP/7xD2prazGm+QvBLbfcsl8XJoQQIpjstqraQykoT/qc2MfK6fyQL62z9rsGV/PihhR/WZdiY4O/y+uGLTitb5QzBkQ5rlQ6OghxIGlTEPzHP/6Re+65B8uy6NmzZ7N3t/JuVwgh9i9fGzwD21Oa8pRPSdTCVop6R+NpaX+2vxljWFZn8chHtby3NU1qF7GvBRzTK8zp/aOc0T9KYUTeiAhxIGpzEDx+/Hhuu+024vF4e69JCCG6vbV1HraCasdgW4qkZwhbUJnWGOn6sN/Uu5pXNqZ5bl2SdfVRIN3qdXtFLc4dFOPcQTH6xKUGRYgDXZuC4MrKSm666SYJgIUQogN42lDtaKKWIukbjDF4RpEXUmxL+Tn1wGLvrK3z+POaJK99ldpl1jekYGL/KGcNiHJ8WYSQZOCFOGi0KQgePHgwW7Zsae+1CCFEt1eV8llX55H2Ie1rLBS2UjiZTlwJF3pGO3eNBypjDJ9Uujz1RZIPyp1dXrc0ZjF1UIxph+bRKyblDkIcjFoNgrXe0fvwqquu4vbbb6e0tJRjjz2WvLy8Zte3LHmREEKIvVXv+BREbLYkfJK+QaHwNMTDwb6LiBVsSI7asg9jT3na8H+b0jz1RXKX7c0sDBP6xzjvsBhH9wzL9DYhDnKtBsEnn3xyzgutMYYZM2a0eF2lFO+9997+X50QQnQDvjZ8VOHytb4Wjg5abQUB2I7X4MbX4wKZhdxmVWnNyxtT/GVtkq27GGrRmPUdE6pkzOG9O3CFQojO1GoQ/N3vfleyDUII0U4aXJ+EB3khsJWFIWiBlvYNUVtee/fFp9tdnl6b5I1NaXbV2ndkSYjpQ+J8rW9Q67t+Q2XHLVII0elaDYKvvPLKNt2BMYatW7futwUJIcTBThvDR9s8iiNBhndQAUQtxcZ6f5dBm2idpw3vbHH485oEy7a3XvKggK/1jTD98DhH9wx33AKFEF1Omz5XO+mkk1iyZEmLxxYuXMi3vvWtPX5gx3G46KKL+PDDD7OXzZo1ixNOOCHnz5NPPpnzWBdffDGnnXYaV111FRs2bMi5z6eeeoqpU6cyceJEZs6cSTKZzHm8WbNmceaZZzJlyhR+//vf7/GahRBib9U7PtszbQiqUhqFodox1LuG7emg/VnIAmk5u2cqU5rfr2rgotequPWj2lYD4IgFXz80xu9PL+H2ccUSAAshWs8E33333dTU1ABBtvfhhx+mR48eza63evVqotE926qcTqe55ZZbWLNmTc7la9eu5Uc/+hFTpkzJXlZQUADA1q1bmTFjBpdffjmnnnoqDz/8MDNmzODJJ5/EsizeeOMNHnzwQW677TZKS0uZOXMmc+fO5eabbwbg3nvvZcmSJdx///2Ul5dz66230rdvXyZPnrxHaxdCiD1RnfYpjljUugZXG1wDG+s9CiMW2hgMQbuuntEg+pUOXLvnacOH2xz+9mWK98od9C6y5wPzbc49NMY/HRKjJCrvMIQQO7QaBB9xxBE8/PDDQPBx3erVqwmHc98527ZNQUEBN954Y5sfcM2aNdxyyy0tjl5eu3YtV111FaWlpc2OPfvsswwdOpRLL70UCMY0n3322SxcuDCbMb7wwgsZP348ADfddBM/+MEPuPbaa1FK8dxzz3HXXXcxYsQIRowYwSWXXML8+fMlCBZCtKs1tT5lMZPp9xu0PUt4hoKwynYfKI508iIPEBsbfP53fZIXN6SpTLe+0Q1gXFmYC4bEGVcmXR6EEC1rNQj++te/zte//nUATjzxRO644w6OOeaYfX7ARYsWceKJJ3LllVdmA1aAiooKamtrOfTQQ1u83bJlyzj22GOzX8diMYYPH87SpUs57rjj+PTTT7n88suzx0eNGoXv+6xcuRLbtnEch9GjR2ePjxkzhnnz5uF5HqFQm9olCyFEm9U6PvkhC88YqtIa2wLfBMMXdu7wIMMvWpf2DW9uTrNgfYpFle4urxuzYdIhMc4/LI8hRfK6LoTYtTa9SnzwwQf77QG/8Y1vtHj52rVrsW2bBx98kPfee4/i4mIuvvhipk6dCgRB8s4Z4p49e1JeXk5dXR3pdJqysrLssVAoRHFxMeXl5YTDYYqKinLKNnr27InrulRXV7eYeRZCiH2xod4nbGk8bfC0wVJgKYWReoc2SXmGBRtSPLqygVp317sFDyu0mTooxj8NjFEoLeSEEG3U5rfKS5Ys4aOPPsJ13Wwpg9aaZDLJokWL9nmj2bp16wAYOnQo06dP5+OPP+aXv/wlsViMs846i1QqRSSS+5lhOBzGcRzS6XT2652Pu66L7/vNbtv4teO0PDVo9erVe/1c9uW23YWco7aTc7V7Xe0crU0o6j3wDGAglnmlTXlBeVnU7vgWEOs3rO/wx9xTvoFldRbvbbf5qMYmrVt/wxCzDCf28JnYy2NI3KBUPdu3wPZ9XMOBcJ66AjlPuybnZ4eUD8U1psVNv+3x2j106NA2X7dNQfCf/vQn7r777hbreC3L4uSTT2776lpxwQUXMHnyZIqLi4HgSaxfv56nn36as846i0gk0ixgdV2X4uLibEDrum6z49FoFKVUs9s2fh2LxVpcz56cxKZWr16917ftLuQctZ2cq93rKudIG0O9q8kLWWzemqZABUMvDGRrUn1jSHqmwwderN+wnkEDB3XoY7aVMYZPqz1e2ZjijU1pqp1dv0EYVRLinEExJvaPEQ/t36x6Vz5PXYmcp107GM6Pbwxpn/3yM5bwDEeURZr1P+8Kr91tCoL//Oc/c+KJJzJz5kwef/xx6urquO666/j73//OzJkz98vmMqVUNgBuNHjw4GwpRu/evamszG1kXllZyeGHH05xcTHRaDT7NYDnedTU1FBaWopt29TV1eG6bjZbXFlZSSQSoaioaJ/XLoQQaR++atCUxYKev40v+E1f9m2lKAhLOYQxhtU1Hm9tdnh9U4pNiV1vcrMUnH9YHl8/NMahhVLrK0R7S/sAhqavYF6mDUvoICrpalM6YtOmTVxwwQUUFxczcuRIFi1aRCwW48wzz+Tf/u3f+NOf/rTPC5k7dy7XXXddzmUrV67ksMMOA4KNbosXL84eS6VSrFq1ilGjRmFZFiNGjGDRokXZ40uXLsW2bYYPH86wYcMIh8M5vY4XL17MkUceKZvihBD7pCbt81m1S3Xap8bR1Dhaev22YkO9x+9XNXDpG9u58u1qnvg8scsAuDRmcd5hMR6eUMIPRxVIACxEB9p5anBaw24+qKHODX6eE57Gb6F6oKtp0ytKOBzObiobOHAgGzZsyHZVOOaYY/jjH/+4zwsZP34811xzDU899RRf+9rXeO+991iwYAEPPPAAANOmTeOJJ55g3rx5TJw4kXnz5tGnTx/GjRsHBOUUs2bNYujQofTp04c5c+Ywbdo04vE4AOeccw5z5szhZz/7GZWVlTzxxBP85Cc/2ed1CyG6D2MMSilMpvQhP2yxstpDKahzwNOQ8o2MnG9iY73HixvTvLkpzYYGf7fXzw8pJvSPMmlAlGN6haVzhhDtrM7VzTaUWtCsfCFsQWg3P49pHwrDoI3C02Db+3u1+1ebguBhw4bx5ptvcsIJJzBoUFDnsmzZMsaMGUN5efl+WcjYsWP5xS9+wcMPP8x9993HgAEDuP322xkzZgwA/fv3Z/bs2dxzzz088sgjjBo1ijvvvBPLCv7jJk+ezObNm5k9ezaO4zBx4kSuvfba7P1fd9113HHHHVxzzTXk5+dzxRVXMGnSpP2ydiFE97Ap4ZP2oc7ReAZ6RoOsR9hSVKR8CkIWlSlDUaR7B27bkj5vbk7zf5vSuxxh3Chswcm9I5x1SIwTezevHRRCtB9PBzXATd9whu1ggqXf5IOavJAiohTJnWa7a2OyA2uKwgpXG2xlMiPgu/bPcpuC4G9961vceOON1NXVMXPmTCZOnMjPfvYzJkyYwMsvv5wNVPdU05HJAJMmTdplYHrKKadwyimntHr8sssu47LLLmvxWCwW49Zbb+XWW2/dq7UKIURNWlPjGqIWONqwNaGIZTaOKBX8O3oAfATYHnxj+LDc4a9fpnh/q8Ouq3yDfskn9I4wsV+Uk/tGpLWZOGA1ZD4V2lvGGGpdQ3GTOipPG9LakB+ystdpyydMKc/gk3s7V4NnDPFQy2sMWUEgbFkGTbB3IWIrwkrhY7L3O6Q4hKcNtQ0aX4PJbP5N+oaeUYutCc2wHiHW1fmoTPDbUkOFrqRNQfDEiRO56667smOOb7zxRn7605/y3HPPcdRRR3HDDTe06yKFEKKjtfSLrcEz5GWylBZgNTncKzOSt7uVQlSmNH9bn+Rv61NsTe469LUVjO4VZmK/KBP7RymS4mlxgDPGkNKG/MzXCc+Q3H3VDxC8noQUaBP8bDSV1kEOtcHTaBNkZHtEW35taRy/bmeCVoXKBs0pDcoE64qHgmA2bAePGc5scIvZCscPMreWUtg2RJSiKGJRXecRCyksC8piFgnPsLbOQ6FQmfhWKcXQ4jCedimJ2qyv81CWwtdQlTbEuvAnO23eZXDqqady6qmnAlBcXMx9993XbosSQojOtr7eZ0SJhZ/5nM9SQXam8RdHd//Ivs7VPLcuyROrE6R280v/mJ5hpgyMMr5ftMPbwwmxtxpcTTyksm9s037wsX9ek7Zhrt4RTDbKvB/OZkETviGkVM5rRoOnsVA0VhbEd/q5CGWG67gaXK2JhyzSftBrN+FBXmhH68W0b9Ao4nYQAEesIMAuCKugTaOBeg+Svkaj0JnODwnPkB8KPsGqdw35YcUh+Tbr63xKoop++TY1jibpaYrDFkop8kJgozAY8sNWEMATdIw4qmcwojwasjAGNJpYCFy/62aD92ir7bJly/jggw8oLy/nO9/5DmvXrmXEiBH06NGjnZYnhBCdoyrlA2GWV7m4Bkb1DGO6eH1bezPGsLLG4/l1KV7flNpl8Ht4kc3kQ2KM7xelX7yL744RogWu2THqHIJ/F4Z3BK6eNrjGUBy2aBrm5dtBdtbVkPQMQ4tDfJXw8bTBVkHQWhazcbShwTWErCBwrnMMnoGoDT0zWVdPa4xRjCwJs6bWI+kZBhbYbGzwsj18S6LBfaX8YDrl8WVRllU51Hua0syxwnAQmBaGFGljcHwoiVo42lAUttie1owri5DwDAnfpTAchIc9IhZbkj5H9gh+hi2lOLTQZk2dT35IUePobHDfGJTn2Yq0NvieYkC+zRe1ux533pnaFAR7nsfPf/5zXnvttezO6PPPP5/HHnuMjRs38l//9V8MGDCgvdcqhBAdwteGpG9IeJo612BZhqSn2blvZnfyQbnDw581sKqm9Y1uUQtOHxBl2qF5jOwR6nalIeLAkPZNs09yGgPUpt+zEUtl62m1MVgE2dyEl5maCxRHLArDFhvrPSxLYWEotIMgsyzPImTtyKjWOEHadHSvCHlhC20MSypdIlZQyqAJ1uVqw+DCEKuq3WDUOoaIpYhakFDQL9+mPBW0ZPSN4ZieEXrFLOpczUfbXCJ2UNObyGSDE5mhF40BaxSFZxuG9whjqUygb5HN9CpUthSsT9yiKBohr0k9ca+YzYYGn14xiw0NPkOLc0PJvBA46eA+gyB495tjO0ubPpf63e9+x9tvv83MmTN59dVXsyn+m2++mUgkwoMPPtiuixRCiI4UtLpUbG7wiWTq56pSerftgQ422hje3pzm6re3c+MHNa0GwEVhxfdH5vPnyb24aUwRR5WEJQAWXVad2/zjeW2CsoVGxhiKI0FgGrbg0MJQdiNY49CIeEgxqmeEwrCiX9wmaoFlKeKhoNyhV8zi0MIQllIUhi16RC2OL4uSlwkwLaXom2dTELYIWUHQ2COqCFuKkJXZnGYplALbglhIEVJB+cXxZVGGFIUYURKmRzQoVYjZVra2OGIpjuwRpk/cpixq0TNqURKxiIcUvfMshvUIE7IUlgoeY0B+KLumE3qHdwz7UarZhrqIrRiUH6y7f77NgPzcT3qCDX6G4cUhIrZiSGGoy6YO2pQJXrBgAVdeeSWTJ0/G93d8/nXooYfy3e9+l/vvv7/dFiiEEB1le8qnR9Qi5WlsBZsTPgVhC0vBlw0+PbrJtDdPG/5vU5onPk+wrq71moeymMW0Q2P882F5OTvbhegqjDHUeya3+4gKSgfioWBDmAEGFNhsqNvxJi/lwyH5NjVusLGrd55NZUoTDQXlEI6n6RUNgr+iiEVhxCJd7ZLwDWEFUdvK2fjZK88i7jUPvvvm22hj2NTgUxSxOLwoRK0TbDDtk2dR53jk2UFJRmHYymljNrAgN4QLW1CYecx+cYu8UJCJLonZ+DroDhG2gv0Nu3qTmh/efflS30zQPKw43OxYzLaIhSxKYsH9DCnuukNu2rSy6urq7DjinfXq1Yv6+vr9uighhOho2hiWVrn0itnUOH5Or19bKXqED/7OD642vLwxxR8+T/JVK4MtFHBi7whfPzTGCb0jB9UIVXFg0MZQt1NLsUYp34DZ0b7Lz3RWSDVuarMhbititmJESZh/lDtAcF8VYQtPB/cdthQlMQurNsi8hi3F8B5h0r6mwQsC41gmgmr8GSiMWCSTmpAFx5VFsjWyAPGQRbyViMtSih5RRWnMyvzbztyfzWGFsL7BRylFr5hFr12cF6UUpZldeYWR3EDWthR2B71PjdrQO3ZgvCluUxA8aNAg3nrrLU4++eRmx/7xj38wcODA/b4wIYToSLWOxjOGasfP9ths6mAPgN/fmuaB5Q27nOo2rizMFUfmM7xH8+yPEB0l5QeTBRs1uJq8kKLGMQwpCpHyDdWZbKpvgo/vVSYoTniG0qhNNBQEt/3jFl/W+0FQaykqXEOvqEVaB8GtbansBrSordDGImoHXRTiodzXhAH5NgVhxbbq3A4SbVHQSva1JGazPfNc2vIaNLALjBZXStEjdmBshm3zsIzbb78dz/MYP348SinWrVvHBx98wFNPPcWMGTPae51CCNEuXG3wtaHG0RRHrLZtlDiILKl0eHx1gn9sa3kHtwWcMSDKxUfEGVLU+b9gRfeT8IIWYZ42hKyg7Vc8FAxpSHmGqG3R4GmOKArRP9/GthSLKx0qkkFwO6AgRGFY0SNi8UG5Q6+YRXEmY3pYUZjSWFA2kB9W1LqKwUU7AriSqKKgSRlUxIIhhTalec2DPJXJ4m7bz8+/sV5X7H9tOrPTpk2jurqahx56iL/+9a8YY/j5z39OJBLh0ksv5bzzzmvnZQohxP5V7/jkhy0WVQTTzXrsVG93sNtQ7/HbFQ28u9Vp8XhIwT8NjPGtI+Ickn9gZHXEgcvVBkuR/Rk0xmS6FgSlCAkv6NZSErXoFQ1aklWmDRaGo3tFeHtzmr6ZABggrILNXpsafPrm2dnJjj2iFnkhldPbtyBTOlAcUSQ8lZOVPbQwlPPG2LYU/To4KO3uPcnbU5v/J//t3/6Nb3zjGyxdupTq6moKCwsZNWoUxcXF7bk+IYRoF8u3ewwpCmU6QQTDH7pDfWuNo3l8VYK/rEvSUg97BUwdFOPfhsXp3UK2S4i2aOuY30auDjao5YcU6cz0Mm2gwAouq3aCfrYJz3B4kYWnYYMO3shGbcXQ4lBOYNsrZlEcsfgq4dN0T9zAfKvVoDI/bHFYYe5nQTsPwhAHlzYHwVprHMfhyCOPpLi4+KCvjxNCHLxSnqHW1Wxq8ImHFCkv2C1ecBD/wvO04fkvU8xb2UB9Cy2iAEb3DPODUQXN+n4Ksadq3WBMb2N2N+itGwS6EWtHJjbpB6ODbUvha0PaN8TDivKEZnBhiPKUT55tYSnD4CKbxZUu8VDQCuy4sgjlmVHdh+5UC9snM6Cld8zKZoeh+Yaxpiyl2MVhcRDa7SvdSy+9xDPPPMPy5cvxvKB9SDQaZfTo0fzLv/wLEyZMaPdFCiHE/lTramJW0Dy+KGIRtcHpukON9tln9Ra3vrWdNa20OxtVEuKKI/MZ3Uv6+4r9I2QpPB2M7y2OABj65NlsSWrczPjxhGcY3SsYqrKq2sPPfOuN7BFmayLFoYU2tW7QbaFnzKI4YlMQ9olkMrn5lmLwbsZwH9FCCy8hGrUaBGut+dnPfsYrr7xCWVkZkyZNolevoDnHtm3b+Pjjj7nxxhs5++yz+fnPf95hCxZCiH1V62jyw4qGTN9OpVROS7SDxcpql3krE3xQHgWaB8B98iyuHJHPGf2jEvyKfWJMMGWxcbBCWIFrgkETad9QGrMoy7OoSGmSPhQqGFRgZ3vSHlFk81VD0KHFthQ9okEG11ZBp4VeMZuIrRhZsmefUuxplwbRvbT63fTMM8/w2muvcd111zF9+vRmL5Baa5555hnuuusuTj75ZCZPntzuixVCiH1VnfZpcE1mitPB+Qsy4RnmfdbAM2uT6BaO59mKS4fF+cbgPNl0I1rVdHPa7qT9oIa3UTysqEqbzJAJnyNLImhjGFRgs7HB56ie4Zw+ugURm75AnRPcyWGZQRAF4aCnb+P3aZHUK4j9qNUgeMGCBZx33nlcdNFFLR63LIsLLriA1atX8+yzz0oQLITocrzMZpvG+kPHNyyvckHRYi/gA50xhjc3O/x2RT1bky2FvzD5kCjfG5FPrwOkj6doP0k/GAXe2uavtA9K7QgUUpmdlC1tqNRA7zybOjcodzgiP8yWhKZf3M6OGbZU0FmhR9TOCYAbFUfsTOkE2RZkPSIWUcnminbSahC8du1avv3tb+/2Dk466STeeeed/bkmIYTYLyqSGpTBGOiXH2J9vUfUVgdlF4i1dR73Lq3nk8qWi5tHlYT43sgCju4pNZIi0w1FgWugtbLa/IjCzUS8njZoYwgpha+DEoewFWxsi9sKS0HPqMX2tCZsKUrzbOIhl+KIQhXkvuHakxKFEnmzJtpRq0FwKpWisLBwt3fQo0cPqqqq9uuihBBif6h1NTrzke52x6E2bbL9Qg8W9a7m0ZUJnlmXzPk4ulGfPItL+iWZOrJU6n5Flq8NoZCF6xsSfjBKuCltDEUhizoDxgRZYEvB8b0jFNYYyn1DSdSmNKb4otbjyB4h8kIKzxh6hILA9bDCYNNbcVQCWdE17XJjnG3v/hvXsiyMabndjhBCdKa0NjS4BlsFfUgPpvrXOlfz5OcJnv8y1WLLM1vBvwzO49vD86nYvEECYAHsyOBGQxYKGFocYl2ma0hDpld24+CKsphF0vNJ+Ib8sEV+SGEpRUjBib2jxELBddfUevSN27g6KKHoFQtSy/1l0pno4uQ7VAhx0Ep5hoRnCD5RVQfFRDjfGP53fYqHPmug2mk5ATGuLMwPjipo1jtVHDwa62xbK+2pdTTx0I7Sn8bhFb4OvocKI0Gv3f75ITbU+/jG0D8/2LRmq6ArQ0HYwlaaBlfTN27l9I9u/EQlbCmG9wgyvmHLYIyhR/Tgq7cXB6ddvkLOnj2b/Pz8Xd5BQ0PDfl2QEELsD642uDrYsW5M0LT/QOZpw2tfpZm/JsnntV6L1+mTZ/GDowo4tW9EMr8HKWOC72vPBP/WBiK2IumZbK2tq4PaXUcbGjxDUVhRkdaUxWzyw4qEF5Q/lOUFwaptQYMLw4otPAO98yySXtA60FLBJrUB+Var31ONY4SVUvSJ2wdlzb04OLUaBB977LFtehEtKiri2GOP3a+LEkKIfVXnaCygR0SR1uaAngS1vMrl7qV1fFHb8rCLorDigiF5TD88flCVfHRXaX9H6U7S06AUeZmvHQ2OzpT4mKC2N2IrUpkyhzpX4xtFYUTh+oriiKLW0ZTGbBJe0KIs6gWZ4MZ2YwrFIQWKwoidnajW2KUhbAWlNbuatNbUMBlOIQ4grQbBDz74YEeuQwgh9oukq2nwDOvqfKJ2kJ06UDNTX9R6/PHzBK98lW7xeNSCfx0a58Ih8YNuw193lfSD7G4087UieJPjZDreedoQsxWGYLNavzybyrTPYYUh1tR5HF0SpsGDqrQmoTXDisOsqHYZVhzK6YzSdC+PwlDWSheGPe2mEpE3YeIAIgVjQoiDwuc1LkcUh6lMa9bUeeSH1AFZEmCM4aMKl6e+SPCPba3Pcj69f5SrRuTTJ34Ap7i7qbRv8GnekQHAAvLDCsc3uCYIQqO2ot7VGII3dT2jNlVpTcw2HFJgszHhM7DAJmoHpQsRR7PdMRxVEiIethhbGmnWl7fpz0ZJ1Ca/lT5p8VDrfYSFONBJECyEOOA5vmFjg0+/uEXCMxS11vi0C/O04fWv0jy1JtFq2QPAWQOifHt4PofkS/B7oPJNEOw21eAZLAzxsEXUUtS7BoUhz7YojFhsSfgUhC2SnmZggU2DpykIB8Hr8B4hQpbKdmOI2RYFIYve8eDrlgZTNHVYod3qG8Ye0t5MHMQkCBZCHNAcDe9vTWMrxZf1Gv8Aa9lY72peWJ/i6TVJtqVanvIGMKjA5v87uoCxpZEOXJ3YlYRniO9FGYqtIGYrdKZjgzEm047MkGcH9b8VabCVIhpS5IcURRGLHhGLDV5QAzy8R5jGb/VDdmpFFrGhd6ztbwQPxE9MhNgfOi1d4jgOF110ER9++GH2ss2bN/PDH/6Q8ePHc+GFF/Luu+/m3GbhwoVcfPHFnHbaaVx11VVs2LAh5/hTTz3F1KlTmThxIjNnziSZTOY83qxZszjzzDOZMmUKv//979v3CQoh2p2nDSvrLaK2Is8ONsPVOK0Hkl3JxnqPe5fVc+GrVTy4oqHVAPjoniF+cXwRj0wskQC4i0l4mrRvdtkr3xhDyjP4xuBm2ppFbcWgAhvPBAFw2ofSWNCCrCxmUZZncWiBjSFoUxazFYcW2gwosDm6Zyh7H63VgVtK0UMmrQmxW50SBKfTaX7605+yZs2a7GXGGGbMmEFxcTGPPvoo5557LjfeeCNfffUVAFu3bmXGjBlMmTKFxx57jF69ejFjxgy0Dn5xvPHGGzz44IP8x3/8B7/5zW9YsWIFc+fOzd7/vffey5IlS7j//vu5+eabeeSRR3j55Zc79HkLIfavhKfxjMlu3onaioJQ1y2FMMbw0TaHmz+s4d/e2M4za5MkvOYBlAVM6BfhgVN7cN/XSjitX/Sg6HF8sAlbijpXk/QNqcx44YS34+u0b6jzghZkKd9QGrPICymGFYcoidkcVRIi6YMmCHbjYYuSmE0sZHFIQYiwBfkhhW0piiI2llJt7tIghNi9Di+HWLNmDbfcckuzd84LFy5k/fr1/O53vyM/P58hQ4bw4Ycf8vzzz3P11Vfz7LPPMnToUC699FIAbrnlFs4++2wWLlzICSecwJNPPsmFF17I+PHjAbjpppv4wQ9+wLXXXotSiueee4677rqLESNGMGLECC655BLmz5/P5MmTO/oUCCH2kTGGTyocCsIWXTjmzdrY4PPCl0ne3uLwVUPr9b5RC84eFOObQ+IMkJrfLk0bQ0nUYltKk/YhPxx0dlAoekYs8sMqM7JbcUiBTdLT2ZZkjeLhIOubcE2LXRWKI5a0vBOiHXV4ELxo0SJOPPFErrzyymzACrBs2TKGDRuWM5xj9OjRLFq0KHu8aT/iWCzG8OHDWbp0Kccddxyffvopl19+efb4qFGj8H2flStXYts2juMwevTo7PExY8Ywb948PM8jFJLSaCG6Ml8b7MwO9eq0z+oaD09DlePRVTuDedrw4TaH59eleL/c2eV1S6KK8w/L458Py6M4cgBE9d2Eq02zzgjGGHwTbG7rE7eIWIqvEj794jYb6j0OLwr65O7ctSPcSgZ3aHG41XKKgQWhA7a9nxAHgg6P/r7xjW+0eHlFRQVlZWU5l/Xs2ZPy8vLs8dLS0haP19XVkU6nc24fCoUoLi6mvLyccDhMUVER0Wg057au61JdXd3sfoUQXctH2xyO7hVhXZ1LvWuwFOSFFL5RJDp7cTupSmv+9mWS579M7XKjG8Cw4hAXDMnj9P5RaUPVBQUb3yCkgqA3ZCmSPoBBo+gVtSmJGr5qCILgPFvRaw82pDVqbWOaZIGFaF9dJgWaSqUIh3MnzUQiEVzXzR6PRHI3hYTDYRzHIZ1OZ7/e+bjruvi+3+y2jV87TssZmtWrV+/1c9mX23YXco7arrufq4QHX9Qr1m4IdtVbimbZ3/Ub1nfO4jI8A8tqLd6rtvmw2sY3rQcvtjKMLdL8U5nH0PwkytSx+av2X2Nnn6MDgadh1br12Cqo0y20YasHKvM952soCRtqPEV+CDbUBSOMt9RYrE0Gb3i2d+5T6DDd/XVpd+T8tE17nKehQ4e2+bpdJgiORqM0NDTkXOY4DrFYDAiC1p0DVtd1KS4uzga0jQFz0+PRaBSlVLPbNn7deP8725OT2NTq1av3+rbdhZyjtpNzBYsrHI4sNa1my9ZvWM+ggYM6eFWBtG/42/oUf/w8Qflusr7Di0OcPziP0/pGWh1M0F468xx1VWnf4GhDYZP/iyVfbGDQwAFYwNf6RlEKFm5z8DQcVxYhbAUT3D6qcDgkHqJvvo02htryNEP7tPy75GAkr0u7JuenbbrCeeoyQXBZWVmzdwRVVVX06tULgN69e1NZWZlzvLKyksMPP5zi4mKi0Wj2awDP86ipqaG0tBTbtqmrq8N13Wy2uLKykkgkQlFRUQc8OyHE3vC0ocE3LU7W6kxr6zxe2Zjifzek2J5uvT1WzIYzBsSYNijGiJJwq9cTHcs3Qa1v1Fb4xmCr4O/SqGFAvs2WhM7WoMdDinrHELF2lC3k2YqiaPBvSynyD4TdmUKIZrpMEDxq1CgeffRRkskkeXl5QLCJbtSoUdnjn3zySfb6qVSKVatWcfnll2NZFiNGjGDRokWccMIJACxduhTbthk+fDiWZREOh1myZAnHHXccAIsXL+bII4+UTXFCdDFf1LokXcOoXhHqXY3qQrMvPq/x+P2qBt7asuuNbgPybc47LMaUgbGcTKPoWPWupiBskfI1oIhl3kylfcOoniE2N2i2JDVhy+D40CdiOLwohK93fKpYHLbQRud8EjEg387eFyCbGYU4QHWZCHDs2LH07duX2267jX//93/nnXfeYdmyZfz0pz8FYNq0aTzxxBPMmzePiRMnMm/ePPr06cO4ceMAuOCCC5g1axZDhw6lT58+zJkzh2nTphGPxwE455xzmDNnDj/72c+orKzkiSee4Cc/+UmnPV8hRHOOb6hOazwNH25Nk/QNheHOzQL7xvD+Vodn1yX5xza31etFLJh0SIwz+kc5tjS821G1ov3UuZqCkCLlg6c1eWHFgLjNhgafPFsBiqhtURKD/vkWUdsi6Ws2NwSZ3SOKd2TtBxTYDCC3s8POo4QHFkg7OyEORF0mCLZtmzvvvJPbb7+dyy67jAEDBjBnzhz69+8PQP/+/Zk9ezb33HMPjzzyCKNGjeLOO+/EsoJ34JMnT2bz5s3Mnj0bx3GYOHEi1157bfb+r7vuOu644w6uueYa8vPzueKKK5g0aVKnPFchRHPaGD4od7AtsuUPLfVO7UhLKl3uXlrHurrWe/vGbDjvsDy+OSS+V50BxN6rTmt6RC0avKAeOz9ksT2tidqKOtdQEFZoE2xqO6QghKsNW5PBgJWIBb3zdgSvEdumPPPt1rQtWVvezMjYYSEOTKq6uroLfdh44OsKhd5dnZyjtusu58oYw/o6n80Jn4jdtsCjUXts+tqS8HlidYIX1qdavU5je7NT+kQo6OIlDwfbxriEF7TJS/uGeEjhZvYkRiyodQ394jblKZ8hBSFQQXeHQ/KDnE/KM7y/Nc3EAc03snWXn7d9Jedp1+T8tE1XOE9dJhMshOietjT4bEr4JH3d6RuMqtOa366o55Wv0uhW0gOjSkJcPDTOyb0jkgHsANoYFEG21RhDwjfEbIWFomdUsTmhiVhgWYqkH0xxi9nBm5SymI2tcjO1sZCip2TshRBIECyE6ES+Nmxs8PANnR4Av781zZzF9VSlW251dtaAKN8cksfwHtLloSOkfUPUDgJbDMRD4Ggojdk42lAatYiHFT0iNqtqXOJWsPGtLGYRslROqcPOjiiWX31CCAmChRCdYEvCw9ewrs4jYqtOnYy1rs7jd5828O7Wljs+DMy3uf6YAo4tjbR4XOybYCpb8P/v6mAkccxW1LmasGVRErHZkvBwNBzVM0zchqq0oV+mvMGxg2D56F7BZkSvtRR+E3FpaSaEQIJgIUQHqnN8LAXLqlzyQ6rDh0Y0pY3hD58nmLcy0WLpw6ACm4sOz+OsAbFO36B3oNPG5NR5O75BEwS7SX9HEOwZgzJgTDAWu8EzHN0rRK3rM6w4TEnUQilFfnjHf1jEVvTNs7P3H5Lx00KINpIgWAjRIYwxLKp0CVuKnlGLzgxVah3NrE/qeL+8efbXAi4ZGufSYXEJqPYDTxvqPENJRJHyDEqBa8DG4GnoFbVI+4awBT0iNg2eptoxDCkKZS5XHFUSpjCyo7xh51rsgYXyq0wIsefklUMI0SE+qXCIWIqQtWfdH/a3/9uU5p6lddQ4zdO/R5WE+OGoAo6Uut89Zowh7YMhyOJqY9AGXB1MWNPGELaDLG/Kh/yIRdLTHF4U4rNqF0crjioK8dl2h75xiz55No3teJsGwEIIsb9IECyEaFera1z65NmkfLIfe3eGhKe5d1k9L25INztWFFZcf0whE/pJx4ddqXU0eSFF2jfZtnCOb4jYiqQPrjHk2xYJLxhyooGUNgyM26yt9Tihd4S8kGJb0ifpG+osi6KIxcCCEL3zbCK24vCiEAUS9AohOoAEwUKIduNrw7aEpjzp54yZ7WjLq1z+85NaNiWad34Y0SPErccV0ScugVdLGut5XW1ABT15baWCul4DPpByNVrD4cUhSmM2725NcUzPCGHb4u3NaQbk29Q4mngmcO4dz/3Vc0jBjq8lABZCdBQJgoUQ+1W96+NpqEprtiQ0yoK43Tkb4MqTPv/1aQOvfdU8+xu24F+PiPOvQ+OEpfa3RdoYqtMG2wpqc/vkKSqShlgIUr6hV8zmkHybD8sdjioJZYPbwrBFPGxhKcVhhTYhS3FML+muIYToWiQIFkLsF2nfsKraJWQpKlM+EUt1avnD37ek+eWiOurd5rW/hxbY/HRsEUOlX+wupfxgg1qtq0m4hiFFYfrkaTY0+Cilsj2Th/cI5WR3R/QIZeu+jyiW+mohRNckvwGEEHtteZXDyJIgyNlQ75HwDK4xnTpGuN7V/H5Vgj+tSbZ4/LzDYlw1ooBYJwboBwoLGFRoU+8qNjZowpaiR9Rma1LTNLbtn5/7q0Q2sgkhDgQSBAsh9pinDZ9Wu2xPG5ZVuUTsIPsbD1lEO2lNxhheWJ/ivz5taDH7e0RRiKtG5nN8mXwsv7M6V5NnKywFvoEGz2ArRVGmpKEwbDGseMcbm8MKQ0Rk3oQQ4gAnQbAQYo8YY1hX5+H4hqJwsGGq3jWdOoWrPOnzq8V1/GOb2+yYpeDKEfl8c0getnR+aCbhGY4qCbM1qUl6hoSnGVocwtegCd5MKKVomjjvzAl/Qgixv0gQLIRoM8c3LKp0CCuVDSgtpcjrpFeSrQmfxzaGeWtJFW7zxg+Uxix+flwRR/eUulRtgpHEroaQFWR8fW0oi9n0zPwBqEj69IoFk9m02f0IYiGEOFBJECyEaJU2hve2OIwtC/q7rq/3cLTBwVDQiZnfhGd4+LMGnluXxDPNX8ZiNnzriDj/MjivU+uTO4tvDElvR222MeAZsBX0iAaXVaR8+sdtBhbknr/SvB31vJ051EQIIdqbBMFCiByOb9ia8OkTt0l4Go3hyzoXUNS5moKQhemkDGG9q3nhyxR/XpukItVC6hcY3TPMjWMK6Z/fvTZnpf1gDHE8BK6/4zIDpDUcXRImr8kbgu0pi5JY9zpHQgjRlATBQnRzvg4+Jo9k6jw/q3apdw11nqbWMRSEFBsbfIojFo15wY6eqpbwNH9YneQv65I0eC0H4H3yLP5taJxzBsW6ZQZTKRjdK8SiSg+loCQaTG7rGbUot8gJgAEJgIUQ3Z4EwUJ0c9vTmjW1HgMLQvSNWyQ9QzykqEoHATBAaScFTCnP8NqmFI+sTLSa+S2NaC4fUcTkQ2KEutnQC8c3uAbyQ4risEVBxGZED/ik0uWk3hEa3ws05EltrxBC7EyCYCG6oXrXx/Uh7UNl2sdSsLbOo8ZRNIZLBZ3YR1cbw4sbUvz3Zw1sT7ccwMVsOO+wPM7Mr2LooLwOXmHnMsbgGTBAvzyLjQ0+AzL9mnvl2fSL+9hN3hB01sZFIYToyuSlUYhuIO0bXF+T8qHeNWxJ+njaELEV9W7wkXnICo7FOrH9lTGGjypcfvdpA6tqvBav0yOi+MbgPP75sDyKIxbrN1R18CrbX8o3hBSELEWDpwkphSYYXmEIMuTH9ApTEg26OPTPDxFtkqwfUSLdMIQQYnckCBbiILc14bOqxqU4YlGV1iggYkM8pEjroNdvo84sJ1hS6fLwZw0srmre6xcgpODCw/O4ZGh+p45j7giKYDObpw2DCkJsqPeJ2tAjYlEUsdjuaIoiVrY2e+fpd92xJloIIfaUBMFCHESMMSil2FjvMSDfJu3DunqP/JCiPOlTFLawLbI9fvO6wNCDldVB8PthC4MuACJWUPZw/uA8+sUP3s1cad8Qyvzf5IcVng5amx2Sb7Ml4ZNnKw7PzCouyzt4z4MQQnQUCYKFOEjUOj7lySBDuKbWw9Wwvt4jYissS1EStbrMxDRjDH/f6vA/qxN8Wt1y2QPA6f2jXDUinz4HcfBb7xksoCCsqEj5hC3FoIKgf68xQSeOXrEdnTmEEELsHxIEC3EAc7Vhe0qT9g3VjiblG2pdQ1HEYnPCpyC8Y7JbVwmAl1Q6/O7TBpZtbz34Hff/t3fv0VGUaeLHv1XV1d3pkHvCLSKXcAtELiL8xssADq4zXnBm1R/uqAcdj86KozIKgzLrcsBhRVgGo0dXRxzHC7vg6o7XmVHPz2F3VXQEmXATATFDAiIkgdw73V1V7++PShoChFxI6O708zknR1PV3VX1hLf7yZun3ifP5LZRqb2+trXRUgxPN/AbGpk+g8qgzc7qCNk+3S1paP6RDU3zYMsCD0II0a0kCRYiztWFbdK8rWdCHaUorbX4NmhHk1ut+ctxFLquxVXdrKMUnxwK88reIFvbqPkFGJdtcvvoAONyvGfx7HpOxFHYDli4Nc1KuTcjWo5bxzsgoNM/cOxtODfFoH/IIfWENX01TSOOfpxCCNErxFUS/O6777Jo0aJW26ZOncrKlSs5ePAgjzzyCFu2bKF///78/Oc/56KLLoo+btOmTaxatYry8nLGjh3LP/3TPzFo0KDo/ldeeYWXX36Z+vp6vve97/GLX/yClJTkWlZJJJ6wA7trbCbluUmw7Si+rrOoDNromkZqDFsXd0TQUry3v4nXvg6yv8E+5WM0YGKuyQ0FAabkmWe9EUd3CVqKlOZMVSlF0AZHuYlwwKPRP6AzIOBhY0WYIWkG+amnfvsdkdm7Z7+FECJexFUSXFpayvTp01mwYEF0m8/nQynF/PnzGTp0KC+88AIffvghDzzwAOvWrSM/P59Dhw4xf/58brvtNi655BJ++9vfMn/+fNauXYuu66xfv55nnnmGJUuWkJuby8MPP0xxcTELFy6M4dUK0b66CIQjirCtqIs47KuzcZQiJc6T36omm9dLm3hrX5DaSNt/x7+wn5c7RqcyLD2u3oraFbIVEaUw0EjxaDTaikyfRkNE0WgpfIZG3xSdXL9O2FYo3Jpsr6GRHzDI8fXeGmchhEgUcfXJU1payvDhw8nNzW21fePGjZSVlfHss8+SmprKsGHD+Oyzz3jrrbeYM2cOb7zxBiNGjGD27NkA/PM//zNXXHEFmzZtYsqUKaxdu5ZZs2YxdepUAB588EHuvvtu5s6dSyAQOOvXKURHVUY0+hqwqSKMhtsgIp67on1da/GfXzfywYEQkVM3eAPgglyT2SMTr+whZCsU4NGhMMOkIQJ1EYdBfQzSvTqbK8OMzzEJePRoG+oTDUmwhF8IIXqruHo3Li0tZcaMGSdt3759OyNHjiQ1NTW6bfz48ZSUlET3T5w4MbrP7/czatQotm3bxqRJk9i5cye33XZbdH9RURG2bbNr165WzxMilmxH4QCWA5ZSfHnUIuyA19CI51RRKcWmigj/+XUjG9tY5gzcmtgZ+T7+77AAwzPi6q3nJBFHYTb/suEo1bwNhqR5aLAcQjakew3SvTCAY7O6/6evLybnK4QQovPi5pMoEomwf/9+PvroI5599lkcx2HGjBn89Kc/pbKykry8vFaPz87O5vDhwwBUVlaeNHvcsr+uro5QKNTq+R6Ph4yMjOjzhYi1qiabnUctdM3tCIZy60vjueqhJuzw4cEQvy8N8nXdqet9wV3665rBfq4dmkKuP/7LAEK2IuwogpbCNDQ0wGdA2FFk+XSy/ToNp5vmFkIIkRDiJgkuKyvDtm1SUlJYtmwZBw4c4Ne//jWNjY2EQiFMs/XNIl6vl0jEnXVqamrC6209V2aaJuFwmFAoFP3+xP0tzz+VPXv2dPlazuS5ySKZY2QraPlLeXUYjkQ0qiOQ0sZoLCsvO3sn1w6lYGe9zp+rDD6vNrBPs3ptX6/D9/Msvptt4zcaaayAnrqSM41R2HGbcoDbqW2gz5391YBUj1v+4Fewr/7YcyrO6IhnXzKPuc6QOHWMxOn0JD4d0xNxGjFiRIcfGzdJcEFBAe+//z6ZmZkAjBw5EqUUDz30ED/60Y9oaGho9fhwOIzf7wfchDgcDrfaH4lEyMjIiCbHJya8kUgEn6/tP112JojH27NnT5efmyySNUYRR1EZtDkaUqC56/lqQK4G/dpYEaGsvIxzB517dk/0BE2WYktVmI0VET45HOZAG6s8tCjK8jCrIMDF/b1nZW3irsbIVip6fmFbYeMuL5fm1ROuVrk9yTrmOkvi1DESp9OT+HRMPMQpbpJgIJoAtxgyZAiWZZGbm3vSbwtHjhwhJycHgL59+1JVVdVqf1VVFQUFBWRkZODz+aLfA1iWRU1NzUklFEL0lPI6i6CtqGiyAXfNV68OloqfJhYtlFKU1tl8VhFm4+EwW49ETnuTG4AOfHeAl1kFAcYmQIOLkK3wezQaLIXtKM7tY1ATbl7FwRvHNShCCCG6TdwkwevXr2f58uW8/fbb0dKF3bt3k5aWRlFRES+++CLBYDC6tm9JSQlFRUWAe6PbX//61+hrNTU1sXv3bm677TZ0XaewsJCSkhKmTJkCwLZt2zAMg1GjRp3lqxTJ6EC9RVmDTdh2a0qPZ8ZJ/lsdcvi8MszGijCbKiJUNnWs5nVQqsGlA338YJCfganxX+8LYDkKXdMYl21SXm+T5dMIeHT6B8DUkfbEQgiRJOImCZ44cSJKKR555BFuvfVWysvLeeKJJ7j55puZNGkS/fv3Z8mSJdxxxx189NFHbN++nYceegiAmTNnsmbNGp5//nmmT5/O888/T79+/Zg8eTIA119/PY888ggjRoygX79+rFixgpkzZ8ryaKJHHQ3ZVDY5VARtUj06qXHU8quqyWb7EYsdRyNsqYqwu8aio115PRp8d4CPawb7mZAT/80tlFKEHLdxhc9w1+sdnOZB0zTOTTv2FpgYKbwQQojuEjdJcGZmJk888QTFxcXMnj2bPn36cO2113LrrbeiaRorV65k6dKl3HLLLeTn57NixQoGDhwIwMCBA1m+fDmPPfYYv/vd7ygqKmLlypXoujvrdvnll3Pw4EGWL19OOBxm+vTpzJ07N5aXK3ohpRT7GywOBRU+HZpshaFBShvrxZ5NdRGHksoImyvDbK6MsK/+9HW9J+qfojO5r5cpeV4m5pr0MeOzZEApFU3KI467ykOWVyfdpzGkjwcjjtdYFkIIcXbFTRIMMGrUKJ5++ulT7hs0aBC/+c1v2nzuRRdd1KqN8oluueUWbrnlljM+RyFOVNVk4zNgV7VFxAG/oWE57k1veoxmSY+GHHZVR9h2JMLmygi7qi06s6iX34AJOV6m9PUyOc/knFQj7md8g5ZCoUgxoM5S9PHonJ/rjbYyFkIIIY4XV0mwEInAdhTVYYcMr86WqjBhWwEaDkRLHjTNvfntbFBKcaDRYVtVhK1H3K/2VnA4leHpHib3NZmS52Vsltlmx7N4EbRbF3CkeTUsRyNkKybmmPg9erThhRBCCHEiSYKF6KCwrfhbncXRkIPd8md3pUjx6DhKnbUbqhyl+FudzZbmpHdLVYQjoc41b9A1GJXh4bxskzFZJudlm+T447PE4XiOUkQct7bXo8OAFINyG6rDDiMzPNgO5Ph1AnFariGEECJ+SBIsxGlEHIWOu6TWl9UWQcut8w1EW7m5qW9Plj04zUuWbamKUFIZpqQqQm2ko7exHTMkzWBSrpdJuSbjcuK3rreFoxSOAk/zbG5dxEFDIy9Fp6LJ5pyAwTl9POR5FVP6evHpmtT8CiGE6DBJgoU4gaMUtWGHsnqbxoiD19BpshR+D6SehTXNWpLeksowG/Z72bOjqtNJr6FBQbqHUZkexmWbnJ9rkpMALYtb2ErRZLmd2rwaeHWNgQETjw4ZXp0cn05uins956Qc/0uJEEII0TGSBAvRbH+9hUfTqGiyqY04+HQNv0cnZCt8np6b7bWV4qsai79WRdha5d7MVhdNeg3owOJlfgPGZJmMy3ZneQszzYS6IaxlGTOPBkEbDE1RkG6Sm6JHZ4KP15IACyGEEF0lSbBIWo5S1IQcMn069RGHbxttIo7bSjf1uJlFXzffIGYrxZ4ai79WuvW8249GqO/kTG+qR+O8bJMJOW7SOzLDc8pkMV61tCx2lMJy3BrlbJ/O4aBDtk8jbEP/BGm+IYQQIjFJEiySTthWBG2H/fU21WF3HdmjYRufrpHSA39WV0pRVm/zefM6vSVVXUt6x+eYjM9xE9/hGZ64a7fcEUFL4TXAVlAfcdA1yPEbjMpw1/AdkqYwdQh37j4/IYQQotMkCRZJ4ZsGm0NBG0e5bXMtBT7dLSMI2k6rmd/ucCTksKkizKYKtzlFR9sQt+hjum19BxsNXFqQR0GCJr21YUW61z1vRynSvBqNEcXYbA+OcksfMrx69Ia2lmXZfDIJLIQQoodJEix6pYMNFiFHURF0SPFo1EcUfkPD0EDTwdfNCWXIVmw/EmFjRZiNFWH21nZund50U2NCrsmEHC/jc0yGphnomkZZeQ3nZprdeq5nQ6Pl4NE0sv0aDRGFUmDoMCLdg++4XzjSYniOQgghkpskwaLXaLLcEoOvay2Ohh1MDfdP67abALfojhvcbOUumfZ5Rdit6z0SoTNL9aabGhNzTSbmehmXbTKkOelNdJaj8OgaaaZObdi9uU3XYF+dxYgMT9x3nRNCCJE8JAkWCc9yFKV1FoeDDgqFX9einduAbmliYSvF17U2W6vCbD/qJr+dWbbMb8B52aa7Tm+eSUG6p1ckvSFb4TPcG9yCFvQP6BwKOhSkeyjMOrayw8gEnM0WQgjRu0kSLBJSk+Ww7YiFoxS2clcXcBPf7kksLcddwWFLc0e2bUc6dzObBozK9HBBnpcLck3GZpsJ38LXchQRR9FkQ7pXo8FSZHrd1sR+Q2Nkhk4fr8GQNIWm9WwDESGEEOJMSRIsEkJDxGZ/vUOTreiXYvBt0MajKbRuSizrwg67aiy+OOomvNuPWATtzq3gkOfXmZznZXJfk/NzvWR4E7uBQ9ByW0H7Pe5Mr6FpDEhz71grq7cpynK7znlPWEJOurYJIYRIBJIEi7hVE7Ipq7cxdI2jIZuAoaFpGvvqLTQ4KfnqqJDtNqfYWR3hy2qLL6st9jd07kY2cFdwmJzn5YI8k/HZJvmpRkLUvDpKtTlLazc3rXAcGNTHIMWjUVproYBJecdmswcGEuNahRBCiLZIEiziSthWBC2H8nq3a1vAo2NZTpebVyil+DboRGd4vzhqsbfWopOTvIB7M9t52e5avWOzTUYlUIOKRsvBb2iEbFDHdaALeDSUgkZbYQBocEGul0bLoY/p1vSmeTQMXWtVziEJsBBCiEQnSbCIOaUUjoImW7G1KoKjFAGPRqA58e1MwlUbdviy2p3l3XnU4svqCNXhLmS8QJZPY3y2N9qkIp5XcGi5QS1ouyUMbpKvMNBQmmJYmocjYYWuKcZme2mMODRYigEBt7zBUtDyu4WuaXiNYwv1ppiJXdYhhBBCnIokwSJm6sI2toKvam3CtoNSGj4DPHrHkq6Qrfiq1uLLoxF2VlvsrLY40IWyBgAdGJJmMDrTZGy2h/OyTQbFYXlD2FZ4DY2g5aCAgEfH1CHTa1DRZDM6w0OaV6c65HAk5OA1oC6s6Bcw6J967FoyfAYZvmOva8bXZQohhBA9TpJgERMNEYctVRa65v5J3tNOxzZHKcrr7VazvHtrLayuTfIyIKAzOtOkMNPD6EwPIzJMUjyxzwSVcosV3M52bvvgkK2wHLeMIcOr02AphmeYKKBvyrEZ2yHpx4ZzbopBboq0XRNCCCHaIkmwOKtqwza76jUqqiIEPG0vo3Uk5LDzqJvsttzA1tDFjNdvwKhMk7FZHsZmmYzJMsnyxeZP/CFbYSuFqWt4NLdtsFu5oPB5dPy6htfQCNuKzIBO0FQM7uMh26+jayRMDbIQQggR7yQJFmdFXdhmx1H3hjRLubO/LZRS7G+wo+vxbjsS4ZvGTrRfO46uwdA0gzGZJqOzPBRmmgxOMzBiVNYQtBWW4y4vpoD+KTp9AwZHmxzqIw5D0w1MHTQ0/B7tpF8KginQP1VmdIUQQojuJkmw6FG1YZs9NTZNtiJguDe5VWlQHXL4y+Ewnx4OU1IV5mioa7O8/VN0CrNMRme6Ce+IDM9ZL2tQShFRbjMJ9yo0AoaGx4AAMDrXR9h28Bp6dGWLNLnZTAghhIgpSYJFjwjbit01EWrDzSs9GG6DhQ2Hwqwv8/JVSRWdnevtY2oUNie7o7M8jM40yT4LZQ0RRxF23BIGpSDsuOvsZng1LMed2c7x6QxN99Bouas0nNgdzmfIbK4QQggRTyQJFt3uUKNNaZ2FB8WuaotPDoX5+FD4uJUb2k8IDQ1GZHgY0zzLOybT0+PNKCzHbfcLEHJAV2CjyPMbnNPHYG+NRZZPp2+KgeUoAqYeXd6tpUtaH1lmQQghhEgIkgSLblMdstl5NMJ/HwzxeUWEvxwOUxfpWJmD34CiLJNxOSbnZZsUZpr4u7mswXJaVllwV1rQcG/M8xkajoKAqeNvzs+zvDpZfjfZbbkZ7bwcb/S1WrrVaZpGFxvXCSGEECKGJAkWZyxiO7zxtyBr9wb5+GCIUAfrHIane7ion5fv9PMyshu7rzU2r6GroaGUaq7D1QiYOn39OhrQx9u82oJ2+mYcshqDEEII0TtJEiy6rKze4uVdDaz5qpGDHVjNwdRhQo5Joa+Bq0b1p1+ga3WyQUuha27JRMRxZ5pbmkZEHBidaWLqbtMNhYp2nhNCCCGEaJFUSXA4HGblypV88MEHmKbJjTfeyOzZs2N9WgnlaMjhzb8FeXVvIx8fCrf7+HRT48J+Xi7q52NyX5OAR6esvPaUCbBSCku5iaxqnss1NAgY7vJhTZbC0OGcDA8O7s13aV6NNFM/TTtjmckVQgghxMmSKgl+4okn2Lp1K08++SSHDx9m8eLF9O/fn8svvzzWpxa3lFKUN9j8v/0h/lQW5L8Phoi0M+nb16/zvXwfF/XzMTbb02qNXqUUYQeaLIXt5rn4DfAZGpajkR/QSfVomIaGR9OitbdCCCGEEN0paZLgYDDIm2++ya9//WsKCwspLCzk5ptv5tVXX02oJLilra5SLTd4Hff/6thNX23tp3mb5SiabEXIVoRst5NZXcTh26DDoUabbxrdFsXbqiJUdaDI19Rh6gAfVwzyMyHHg6M0LOUew6O5+1tuQjvHpxie4SHNq+MoNwnuyVUfhBBCCCFOlDRJ8J49ewiHw4wfPz66bcKECTz//PNYloXHE5tQVARtxr16yE1cOVVCe+z/49HoTA8z8n1MHeAlx2/g0TRSTY0+Ho205pvP/EbrTmh7qiA3RdbNFUIIIUTsJE0SXFlZSXp6Oj6fL7otOzubSCRCdXU1ubm5MTu3oB2vKe6pnZNqcNk5Pq4a5GdMtkm6VyfF0GQlBSGEEEIkjKRJgpuamvB6va22tXwfDp98g9eePXu6fKzOPPdoBNzmuvHLpytGpDpclGVzaY5NQUChaXXQBI3fQGMXXvNM4ptsJFbtkxi1T2LUMRKnjpE4nZ7Ep2N6Ik4jRozo8GOTJgn2er0nJbst3/v9/pMe35kgHm/Pnj2dem5Vkw1/+bbTx9EATWv+7/H/H92mnXI/zf81dQ2/oeHV3XIFn8f9vn+KQb+AzoCAwaBUg/NyTIaleaId0bpDZ2OUzCRW7ZMYtU9i1DESp46ROJ2exKdj4iFOSZME9+3bl7q6OiKRCKZpAlBVVYXX6yU9PT1m55Xt0zlw84DmJFVrI6E9fpuUHAghhBBCnKmk6SIwcuRITNNk69at0W1btmxh9OjRMbspDtykNtXUCXh0Ujzuerg+w10azNTdOltDd28skwRYCCGEEKJ7JE0S7Pf7ufLKK1mxYgU7duzgf//3f1mzZg033HBDrE9NCCGEEEKcZUlTDgFw33338eijj3LXXXeRmprK7bffzt/93d/F+rSEEEIIIcRZllRJsN/vZ/HixSxevDjWpyKEEEIIIWIoacohhBBCCCGEaCFJsBBCCCGESDqSBAshhBBCiKQjSbAQQgghhEg6kgQLIYQQQoiko1VXV6tYn4QQQgghhBBnk8wECyGEEEKIpCNJsBBCCCGESDqSBAshhBBCiKQjSbAQQgghhEg6SZcE79+/n/vvv58ZM2Zw9dVXU1xcTCgUAuDgwYPcc889TJ06lVmzZrFhw4ZWz33llVe47rrrmDZtGrfddhtbt249af/VV1/N9OnTefjhhwkGg6c9l/aO1+JPf/oTd9xxxxlcdeckUoyuu+46pkyZ0upr9+7d3RCF9iVSnN5//31uuOEGpk2bxr333kt5eXk3RKBjejJOLZYuXcrTTz/d7rnE45hLpPjEcrxBYsUqVmOup2LU2NjIv/7rv3LVVVdx2WWXsWDBAg4fPnzac4nH8QaJFaPe+BnXE3Hq6nhLqiQ4Eokwb948vF4vzz33HA8//DD/8z//w9NPP41Sivnz55ORkcELL7zAVVddxQMPPMCBAwcAd5A+88wz3HXXXaxZs4ZJkyYxd+7c6A9u/fr1PPPMMyxYsIB/+7d/44svvqC4uLjNc2nveC02bdrEsmXLeiwmJ0qkGIXDYb755huee+45/vjHP0a/hg0bJnE67nifffYZixYt4pprruGll15iyJAhzJkzh8bGxoSOU4uXXnqJt956q91ziccxl0jxieV4g8SKVazGXE/GaNWqVXz++ecsW7aM3/zmN4RCIX7xi1/gOE6XYtSiN33GdXeMeutnXHfH6UzGW1IlwTt27KC8vJxFixYxdOhQzj//fP7xH/+Rd999l02bNlFWVsbChQsZNmwYt9xyC+PGjYu+Ib7zzjtcf/31zJgxg0GDBvGzn/2M7OxsPvzwQwDWrl3LrFmzmDp1KmPGjOHBBx/kD3/4Q5s/hPaOB7B69Wp+/vOfk5+f3/PBaZZIMdq3bx8AY8aMITc3N/rl8XgkTscdb926dVx22WXcdNNNDB48mPvuu49AIMC7776b0HGqr6/nwQcf5KWXXqJfv37tnks8jrlEik8sxxskVqxiNeZ6KkaWZfHee+8xd+5cxo0bR0FBAQ899BA7d+6krKysSzGC3vUZ1xMx6o2fcT0RpzMZb0mVBA8ePJji4mICgUB0m6ZpRCIRtm/fzsiRI0lNTY3uGz9+PNu2bQPgzjvv5Ec/+lGr19M0jXA4jG3b7Ny5k4kTJ0b3FRUVYds2u3btOuW5tHc8gM2bN/PEE09w6aWXntF1d0Yixai0tJT8/Pyz9iF8vESK04EDBzjvvPNaHWv48OGt/q31lJ6KE8A333yD4zi89NJLHfoQjccxl0jxieV4g8SKVazGXE/FSCnFihUrGD9+fKt9QDSGJ4rH8QaJFaPe+BnXE3E6k/EWm3ezGMnKymLKlCnR7x3H4dVXX2XChAlUVlaSl5fX6vHZ2dnR6fvjAwzwySefUFZWxsSJE6mrqyMUCrV6vsfjISMjo806l/aOB0Tr0jZt2tSFq+2aRIpRaWkphmEwd+5cdu3axeDBg7nnnnsoKirqegA6KJHilJ2dzaFDh1rt//bbb8nIyOjkVXdeT8UJYOTIkaxYsaLD5xKPYy6R4hPL8QaJFatYjbmeipFpmlx44YWt9q9bt46MjIw2/zQfj+MNEitGvfEzrifidCbjLalmgk9UXFzMrl27uOuuu2hqasI0zVb7vV4vkUjkpOft27ePxYsXc+WVVzJ69OhoofiJzzdN85TPBzp1vFiK5xiVlpZSW1vL9ddfT3FxMUOHDuWuu+7im2++6fL1dlU8x+nyyy/n9ddfZ/PmzViWxRtvvMHOnTuxLKvL19tV3RWnrkiEMRfP8Ymn8QbxHat4GXM9FaM///nPrFmzhnvvvbfNWcpEGG8Q3zGKpzEXz3E6k/GWVDPBLZRSrFq1itdee41HH32UgoICfD4fDQ0NrR4XDofx+/2ttu3du5d77rmHwYMHs3DhQsD9YQAn/QOIRCL4fD5+97vf8cILL0S3FxcXd/h4sZIIMVq6dClNTU306dMHgAceeICtW7fyxz/+kdtvv/3Mg9ABiRCnH/7wh5SWlnL33XfjOA6TJ0/mqquuor6+vlti0BHdHaf2JNqYS4T4xMN4g8SIVazHXE/G6P3332fx4sXceOONzJw5E0i88QaJEaN4GHOJEKczGW9JlwQ7jsPSpUt59913eeSRR5g2bRoAeXl57Nmzp9Vjjxw5Qk5OTvT7L774gnvvvZfhw4ezatUqfD4fABkZGfh8PqqqqigoKADAsixqamrIzc1lypQpXHbZZdHXycvLo6SkpN3jxUqixMjj8UTfHMCtAxo8eDAVFRXdGI22JUqcdF3n/vvv52c/+xmNjY1kZWWxcOFCBgwY0P1BOYWeiFN7rr322oQZc4kSn1iPN0icWMVyzPVkjN544w0effRRfvzjH3PvvfdGtyfSeIPEiVGsx1yixOlMxlvSlUMUFxfz3nvvsXz58lbF+EVFRezevbvVeqwlJSXR2psDBw4wd+5cRo8efVKxuK7rFBYWUlJSEt22bds2DMNg1KhRZGRkMGjQoOiX3+9v93ixlCgxuvXWW3nxxRej+xzH4auvvmLw4MHdHpNTSZQ4rV27lueffx6fz0dWVhZNTU1s3LiRSZMm9VRoWumJOLUnkcZcosQn1uMNEidWsRxzPRWj9evXs2zZMmbPns3cuXNb7Uuk8QaJE6NYj7lEidOZjLekSoK3bdvGunXr+OlPf0phYSGVlZXRr/PPP5/+/fuzZMkS9u7dy4svvsj27dujdziuWLGClJQUFi5cSH19ffR5LctWXX/99fzHf/wH69ev54svvmDFihXMnDmzzTfb9o4XK4kUo0suuYQ1a9bw8ccfs2/fPpYvX05tbS3XXHONxOm44+Xn5/Pyyy/z6aefsm/fPn75y1+Sn5/PxRdfnNBx6qx4HHOJFJ9YjjdIrFjFasz1VIyCwSDLli3jkksuYdasWa1et60a33gcb5BYMeqNn3E9EaczGW9adXW16q6gxbvHH3+cf//3fz/lvg0bNnDw4EGWLl3Kjh07yM/P57777uM73/kODQ0NbS7h8pOf/IQ5c+YA8OKLL7J27VrC4TDTp09nwYIFp61/Ki8vP+XxTvTss8+yceNGVq9e3YWr7pxEipFt2/z2t7/l7bffprq6mqKiIubNm8fw4cPPMArtS6Q4gdsE4JVXXqGxsZELL7yQ+fPnk52dfQYR6JiejlOLO++8k/Hjx5+0/UTxNuYSKT6xHG+QWLGC2Iy5nopRy8/6VJ588slWqwgcL97GGyRWjHrjZ1xP/Vv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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for death cases in Nigeria using a seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Deathsdf , x = 'Date', y = 'Death Cases').set_title('Daily Total Deaths')" - ] - }, - { - "cell_type": "markdown", - "id": "906c6d18", - "metadata": {}, - "source": [ - "Record for daily total deaths were cummulatively increasing as at the time of data retrieval in August 2022." - ] - }, - { - "cell_type": "markdown", - "id": "104f09fa", - "metadata": {}, - "source": [ - "TODO F -\n", - "\n", - ">Determine the daily infection rate, you can use the Pandas diff method to find the derivate of the total cases.\n", - ">Generate a line plot for the above" - ] - }, - { - "cell_type": "code", - "execution_count": 107, - "id": "d57cb913", - "metadata": {}, - "outputs": [], - "source": [ - "#Determine the daily infection rate, using the Pandas diff method to find the derivate of the total cases.\n", - "JH_Daily_Confirmed_Nigeriadf['Infection Rate'] = JH_Daily_Confirmed_Nigeriadf['Confirmed Cases'].diff()" - ] - }, - { - "cell_type": "markdown", - "id": "c974e000", - "metadata": {}, - "source": [ - "TODO J -\n", - "\n", - ">Provide more analyses by extending TODO G & H. Meaning, determine relationships between more features.\n", - ">Provide a detailed summary of your findings." - ] - }, - { - "cell_type": "code", - "execution_count": 108, - "id": "2e78df9a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateConfirmed CasesInfection Rate
02020-01-220NaN
12020-01-2300.0
22020-01-2400.0
32020-01-2500.0
42020-01-2600.0
............
9392022-08-1826274884.0
9402022-08-192627480.0
9412022-08-20262912164.0
9422022-08-212629120.0
9432022-08-222629120.0
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944 rows × 3 columns

\n", - "
" - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "0 2020-01-22 0 NaN\n", - "1 2020-01-23 0 0.0\n", - "2 2020-01-24 0 0.0\n", - "3 2020-01-25 0 0.0\n", - "4 2020-01-26 0 0.0\n", - ".. ... ... ...\n", - "939 2022-08-18 262748 84.0\n", - "940 2022-08-19 262748 0.0\n", - "941 2022-08-20 262912 164.0\n", - "942 2022-08-21 262912 0.0\n", - "943 2022-08-22 262912 0.0\n", - "\n", - "[944 rows x 3 columns]" - ] - }, - "execution_count": 108, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Checking if new data has been created\n", - "JH_Daily_Confirmed_Nigeriadf" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "id": "edf41ce5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 109, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Generating a line plot for daily infection rate in Nigeria from global data\n", - "plt.figure(figsize = (20,10))\n", - "sns.lineplot(x = 'Date', y = 'Infection Rate', data = JH_Daily_Confirmed_Nigeriadf)" - ] - }, - { - "cell_type": "markdown", - "id": "3aa2ff9d", - "metadata": {}, - "source": [ - "TODO G -\n", - "\n", - ">Calculate maximum infection rate for a day (Number of new cases)\n", - ">Find the date" - ] - }, - { - "cell_type": "markdown", - "id": "ce9ddd7c", - "metadata": {}, - "source": [ - "#Calculating maximum infection rate for a day (Number of new cases)\n", - "#Find the date\n", - "Highest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].max()" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "id": "8baf6f59", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "6158.0" - ] - }, - "execution_count": 111, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Highest_infection_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "id": "d0baa6e0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
DateConfirmed CasesInfection Rate
7002021-12-222314136158.0
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" - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "700 2021-12-22 231413 6158.0" - ] - }, - "execution_count": 112, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == 6158.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "id": "fe6fc629", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-30.0" - ] - }, - "execution_count": 113, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Calculating minimum infection rate for a day (Number of new cases)\n", - "Lowest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].min()\n", - "Lowest_infection_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "id": "39a3618a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateConfirmed CasesInfection Rate
8122022-04-13255633-30.0
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" - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "812 2022-04-13 255633 -30.0" - ] - }, - "execution_count": 114, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date for minimum infection rate\n", - "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == -30.0]" - ] - }, - { - "cell_type": "markdown", - "id": "4adb27f6", - "metadata": {}, - "source": [ - "TODO H - Determine the relationship between the external dataset and the NCDC COVID-19 dataset. Here you will generate a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. From the graph, explain your observation.\n", - "Steps\n", - "\n", - ">Combine the two dataset together on a common column(states)\n", - ">Create a new dataframe for plotting. This DataFrame will contain top 10 states in terms of confirmed cases i.e sort by confirmed cases. Hint: Check out Pandas nlargest function. This tutorial can help out\n", - ">Plot both variable on the same axis. Check out this tutorial" - ] - }, - { - "cell_type": "markdown", - "id": "d06167ae", - "metadata": {}, - "source": [ - "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset. \n", - "# Will generate and explain a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. " - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "id": "a9211792", - "metadata": {}, - "outputs": [], - "source": [ - "#Combine the two dataset together on a common column(states)\n", - "NCDC_external = covidnig_rn.merge(covid_external, on = 'states', how = 'inner')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 116, - "id": "609028d1", - "metadata": {}, - "outputs": [], - "source": [ - "#Obtain top 10 Lab confirmed cases fro external data using df.nlargest()\n", - "Top10_NCDC_external = NCDC_external.nlargest(10, 'No. of Cases (Lab Confirmed)')" - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "id": "9582ba5f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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statesNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
16Abia980.025.0945.010South East41900000.20.90.60.10.30.90.20.01.14
17Osun979.020.0937.022South West52520000.00.70.40.40.00.80.10.21.06
18Bauchi897.0108.0775.014North East72700000.80.10.20.80.80.20.80.80.85
19Borno778.037.0705.036North East66510000.90.30.11.01.00.10.70.90.89
20Imo734.061.0661.012South East60180000.41.00.90.00.40.90.40.01.12
21Benue515.044.0460.011North Central63760000.50.70.50.70.40.40.30.50.91
22Bayelsa497.055.0421.021South South26060000.50.80.60.10.90.50.20.71.00
23Ekiti405.024.0375.06South West35930000.30.80.30.50.20.80.10.41.03
24Akwa Ibom395.044.0342.09South East60930000.70.80.70.60.80.80.50.11.01
25Jigawa386.057.0318.011North West64350000.90.40.00.70.60.50.90.80.92
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" - ], - "text/plain": [ - " states No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "16 Abia 980.0 25.0 \n", - "17 Osun 979.0 20.0 \n", - "18 Bauchi 897.0 108.0 \n", - "19 Borno 778.0 37.0 \n", - "20 Imo 734.0 61.0 \n", - "21 Benue 515.0 44.0 \n", - "22 Bayelsa 497.0 55.0 \n", - "23 Ekiti 405.0 24.0 \n", - "24 Akwa Ibom 395.0 44.0 \n", - "25 Jigawa 386.0 57.0 \n", - "\n", - " No. Discharged No. of Deaths region Population \\\n", - "16 945.0 10 South East 4190000 \n", - "17 937.0 22 South West 5252000 \n", - "18 775.0 14 North East 7270000 \n", - "19 705.0 36 North East 6651000 \n", - "20 661.0 12 South East 6018000 \n", - "21 460.0 11 North Central 6376000 \n", - "22 421.0 21 South South 2606000 \n", - "23 375.0 6 South West 3593000 \n", - "24 342.0 9 South East 6093000 \n", - "25 318.0 11 North West 6435000 \n", - "\n", - " Overall CCVI Index Age Epidemiological Fragility Health System \\\n", - "16 0.2 0.9 0.6 0.1 0.3 \n", - "17 0.0 0.7 0.4 0.4 0.0 \n", - "18 0.8 0.1 0.2 0.8 0.8 \n", - "19 0.9 0.3 0.1 1.0 1.0 \n", - "20 0.4 1.0 0.9 0.0 0.4 \n", - "21 0.5 0.7 0.5 0.7 0.4 \n", - "22 0.5 0.8 0.6 0.1 0.9 \n", - "23 0.3 0.8 0.3 0.5 0.2 \n", - "24 0.7 0.8 0.7 0.6 0.8 \n", - "25 0.9 0.4 0.0 0.7 0.6 \n", - "\n", - " Population Density Socio-Economic Transport Availability Acute IHR \n", - "16 0.9 0.2 0.0 1.14 \n", - "17 0.8 0.1 0.2 1.06 \n", - "18 0.2 0.8 0.8 0.85 \n", - "19 0.1 0.7 0.9 0.89 \n", - "20 0.9 0.4 0.0 1.12 \n", - "21 0.4 0.3 0.5 0.91 \n", - "22 0.5 0.2 0.7 1.00 \n", - "23 0.8 0.1 0.4 1.03 \n", - "24 0.8 0.5 0.1 1.01 \n", - "25 0.5 0.9 0.8 0.92 " - ] - }, - "execution_count": 117, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Top10_NCDC_external" - ] - }, - { - "cell_type": "code", - "execution_count": 118, - "id": "9a6421b6", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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giZwlBbgoEDSKQrfK/vzZpRRDagZhTD9Pk8XHzNRfGsXH+/PHsvaaI0fwe/VVgmrVwvjZZygJCemOUfV6bD16kLhrF8nffIPz/vt9kKn3nPXr46hTxyMmLQmFECLn6JYvx//pp1GSkz3i1gEDMH/+eZ75lLSwkQJcFCiBeg3v1AtmZ+dSdKiY/h19kkPlvT3xNFgWxYqTeXNZe+2ff+L/3HMENmyI4ZtvUOzpV/1Ug4KwDhxIwv79mD/7DFfVqj7I9DYoSrqn4IZvv4UM3lwIIYS4M/oFC/Dv0yfd7xHL229j+eCDbF10TWSN/M2LAqlSkI4FLYqxsnVxqhdJ/+7+dKKTXr9focO6y0ReyQPL2qsqul9+IaBtWwIfeQT96tUoGbw5cJUsiWX0aOIPHMDy3nv5cra6vXNnXCVKuLeVhAQMCxf6MCMhhCh4DNOm4T9oULq2tOaJE7EOG5YnhykWJlKAiwKtaRkjmzqU5JMHQilqTP/tvvmijaYro3lzeywxFh+MD3c40P/wA4EPPUTAU0+h27o1w8Ocd9+NecoUEv7+G+sbb0BoaO7mmZ2MRmzPP+8RkpaEQgiRTVQV49ix+I0e7RnWakmeMSPdp5DCN7we+HPixAl2797N+fPnSUxMJDQ0lNKlS9OoUSPKlSuXkzkKcUd0GoU+9wTQ+W4/Ptwbz5xDSThTPVx2qfDloSR+PJ7MiDrBvHBPAHpNDj8ZSE7G8M03GKdPT9cOKjVnrVpYBw/G3qEDaDMY2J5P2fr0wfjJJyiOlEWTtP/9h+6333C0auXjzIQQIh9zOjENGYJx7lyPsGo0kjx3Lo7HH/dRYiKtWxbgGzZsYP78+Rw5cgRVVQkKCsJkMpGQkIDFYkFRFMLDw+nTpw/NmjXLjZyFuC1FjBomNgrl+XsCeHtnHL+d91ymPc6m8tbOOOYeSuKDhiG0KJf9s8KVK1cwzJ6NYdYsNDExmR5nb94c6+DBOJs1K5AfE6qlS2Pv3BnDDz+4Y4aZM6UAF0KI22Wz4TdgAIalSz3CamAgSd99h7NpUx8lJjKSaQF+8eJFxowZw/Hjx3n44Yd59dVXqV69OoGBge5j4uPj2bt3L9u2bWPMmDFUqVKFsWPHUjYfjksVhcc9oXqWPFqMdWcsjNwVx/EEz6Enh+McdPk5htblTYyvH0LlkDufIa6cPYvx888xLFiAkpSU4TGqRoO9Qwesgwfjql37jl8zr7P17+9RgOt/+QXNf//hqlLFh1kJIUQ+lJyMf69e6H/5xSPsKlqU5CVLcKbpPlUgWa34DRuGfvlyVKMR6yuvYHvttQwP1W7bht+IEWiOHsUVFoZl3DgcLVrkarqZjgHv27cvTZs2ZdWqVYwYMYIGDRp4FN8AwcHBNGvWjBEjRrB69WoefPBB+vXrl+NJC3GnFEWhTQU/tncuxbj7gwnSp3/KvO6MhUbLoxj9Zxzxttsbn2w6dgy/AQMIql0b4xdfZFh8q0Yj1uefJ3H3bszz5hWK4hvAef/9OOrV84gZZs3yUTZCCJFPxcYS0KVL+uK7bFmS1q4tHMU3YBo1Cu2uXSSuWIF5yhRMkyejX7Ik3XHKpUsEPP009k6dSNy6FXvnzvg/9xzKTYaD5oRMC/D58+fz7LPPYjAYvLqQv78/vXv3Zv78+dmWnBA5zahVGFQjiN1dStG9qj9py3C7C6ZFJnL/0ii+PuL9svaaQ4fwf/ppIp5+GsOiRe6xzqmpwcFY3niDhL//xjJlCq6wsGy4o/wlXUvC776D+HgfZSOEEPmLEh1NYLt26Hbs8Ig7w8JIXLcOV3i4jzLLZUlJGBYswPzBB7hq18bRti3WQYMyXGdCe+3vyvr667juvhvrm2+imkzodu/O1ZQzLcCLFi16WxcsVqzYbScjhK+U8tcyvUkRfmtfgoYl07/pjDa7GLg1lhY/XWJnlDWDK9ygXL1K4KOPol+3LsP9rtKlMY8bR3xkJNbRo1FLlcqWe8iP7J064Up1/0piYkoRLoQQ4qaU06cJaN0abWSkR9wZEUHSunWoFSr4KLPcp42MBKsVZ6NG7pijUSO0e/ZAmgdgatGiKPHx6JYvT2kBvGoVSmIizvvuy9WcldjY2Awf6a1cuTJLF+rQoUO2JJSbjh496usURAFUbOVK7n7vvXRxc8WKRPXoQUybNqhefrJUGJSZPZtyqYaeWMqXJ/LHH2WBCCGEyITpxAmqvfoqhuhoj3hCrVr8N2UKzqAgH2WW86pmsPCcbsUK/F5/nYTjx90xzeHDBDVsSPyhQ6ilS984WFUxDRuGYc4c0GhQnE6Sp03D3rNnbqR/I+fMdowfP95jW7nWiSH1yoFKqu4M+bEAz+iLmBOOHj2aa6+V1+Tne0+yu5gamci0Awlk1CLcX6cwuEYgAyOC8NPd+Lfgd/Cgx3HOiAgsw4fjaNuWIhoNRXI68TzC26+98uabqHPnuldqM505w72nTuF49NGcTjHH5Ofv++xQmO9f7l3uPadp9u0j4KWX0nXSsrdqhWvBAsL8/XMlj9R8/bVXzGYwGj1i6vVta5pPrZOS0Jw+jXXIEOzt2qH74w/8RozAde+9OOvXz6WMbzIEZfny5e4/n3zyCSaTiX79+rF06VI2b97MTz/9xBtvvEFwcDCffvpptiUUGxvLyJEjadWqFR06dOC7VB9HX7hwgYEDB9K0aVO6du3Ktm3bPM7dvXs3zz77LA899BADBgzgzJkz2ZaXKHwC9BrerhPMri6l6FzJL93+ZIfKhL0J1F8axfIT15a1d7nQ/fGHx3Hmjz/G0b69PNHNhFqqFPbOnT1ihpkzfZSNEELkXdrNmwls3z5d8W3r0oXk774DHxTfeYFqMqUrtJXr22n+TozTpoHVinXkSFy1amF77TXs7dtjnDw5t9IFblKAlylTxv3nyy+/pHv37vTp04dy5cphMBgoWbIkXbt2pXv37kybNi3bEho6dChnzpxh2rRpjB49moULF7Jo0SJUVWXIkCGEhIQwb9482rZty/Dhwzl37hwAUVFRDBkyhNatWzN//nyKFSvGkCFDcMnqeuIOVQjUMffhoqxuU5waRfXp9p9NctL7jyu0XXuZY1v3orl82b3PERCAM02nD5GebcAAj239hg1ojhzxUTZCCJH36NauJeDJJ1ESEjzi1uefxzx7NhTioY1qmTIosbFgs7ljSlQUqtGIWsTzc2ft3r247r3XI+asXRvNyZO5kOkNXj2SO3r0KPdlMji9cuXK2fak+eDBg+zfv5/33nuP6tWrc//99zNw4EAWLFjA7t27OX36NCNGjCAsLIxevXpRs2ZN91j15cuXU7VqVXr27ElYWBijRo0iOjqa3bk8q1UUXA+WNvJH+xJ82jiUYhksa78tysaiWWs8Ygn33w+6O+8jXtA569bFkeajv4xmrwshRGGk//57/Lt3v/FU9xrL669j+eSTArVS8u1w1qgBBgPanTvdMd2OHThr1073O1gtXRrtP/94xDRHjuCqVCkXMk31mt4cVLZsWTZu3JjhvnXr1lGxYsVsSebcuXMEBwd7XK9q1apcvnyZyMhIqlWrRkBAgHtfrVq1OHDgAACRkZHUSdXr0mQyER4e7t4vRHbQahR6hwfw1xOlePm+AHRp+ha2PLLdY/tq/Qa5mF3+lmFLwrg4H2UjhBB5g2HWLPz790dxek5GMo8di/XddwvkaslZ5u+P7Zln8BsyBO1ff6Fbswbj9Onu3ytKVBSYzQDYevdGu3UrhqlTUU6eRL9gAYZvv8X68su5mrJXBfhzzz3HsmXLGDZsGKtXr2bbtm389NNPDBw4kF9//ZUXXnghW5IpWrQoSUlJJKVarOTixYsA7Nu3jxIlSqQ7PvraDODLly9TvHjxTPcLkZ1CjRomNAhlW6eSPFIuZaKH0W6l6fG/PI7rG/gQ/1yx+yLFfMfeoQOuVDPVlaQkDN9+68OMhBDCh1QV46RJ+A0b5hlWFJKnTs10lcfCyjJ+PM46dQjo0AG/N97AMnQo9i5dAAgOD0e/dCkAznr1SF64EMPSpQQ9+CDGGTNInjULZ7NmuZqvV5+Nd+jQAYfDwZdffunxJLxMmTK8//77PPzww9mSTEREBCVLlmTixIkMHz6cpKQkZl/7GNpmsxEcHOxxvMFgwH6tc4LFYkm3aJBer8eWajxQWrnZhrAwtzwsyPeuABPuhrYhGnau3YOf/cbHg6dDS/NbcBg7VkUxPtxKk6KFbz5CVr/2ZTp2pFyqCZjK559ztEWLfPnxakH+vvdGYb5/uffCKVvv3eWi/KefErJwoWdYp+PEe+9xtXFjyGN/17n1tc+024q/P+YZMzDPmJFuV1xsrMe249FHSfRxpy2vB6d26dKFLl26cOrUKeLi4ihSpAjly5fP1mQMBgMTJ05k5MiRtGzZkoCAAF599VUiIyNRFMVdbF9ns9kwmUzuc9MW23a7nZCQkExfT9oQ5rzCcu9Vgb6rF3jEfglvDIpCshPePGjivfohvFw9wKN9Z0F2O197d0vCa/+WTefOce/Jkzhat86JFHNMYfm+z0xhvn+5d7n3O+Zw4DdoEIY0xbfq74/5668p3rIlxTM51VcK89f+dmWpL5rNZuPKlStcvHiRkJAQoqKisj2he+65hyVLlrB69WrWrVtHrVq10Gg01K1bl5g0bXeuXLniXnmzZMmS6fbHxMSkG5YiRE4xbPKcJ/FrtRsrcrlUGLkrjsHbYrE5vVvOvjBSS5Z0f2R4nbQkFEIUGhYL/r16pVsRWA0JIWnZMhwtW/ooMZHdvC7AlyxZwuOPP86AAQMYPXo058+fZ/z48QwaNAiLxZItycTHx9O3b193Ya3X69m8eTPh4eHUqlWLI0eOYL42iB5SxoVHREQAKcNX9u/f795nsVg4cuSIe78QOUm5cgVtqu8/gAe7PYoGz2J7/pFkuvx8mavWwjccxVvWtC0Jf/8dzaFDPspGCCFySUICAV27ol+92iPsKlmSxNWrcTZs6KPERE7wqgBfvXo1kyZNomXLlkyZMsW9Gmbbtm3Zv3+/e5z2nQoODsZqtTJ16lTOnj3Lr7/+ypdffskLL7xA3bp1KV26NGPHjuXYsWPMnz+fyMhIOnXqBED79u35559/+Oqrrzh+/Djvv/8+pUqVon4urmokCi/dxo0oqVaJddaoQY8mlZhyn5VgveeQky0XbbT8KZqjcTI5MyOu2rVxpPlFIy0JhRAFmXLlCgEdO6LbtMkj7qpQgaR163DJw8QCx6sC/Ouvv+aJJ55gxIgRNEz1i/Gxxx7jxRdfZMOGDdmW0Pvvv090dDTPPvssM2bM4O2336Zp06ZotVomT57M1atX6dWrF2vWrGHSpEmULVsWSGmVOHHiRNauXUuvXr2IiYlh8uTJaGT1QZELdL//7rHtuDYxuXERFz+3K0HFQM9JhMcTnLRadYk/zmfPp0cFTbqWhAsXQppJNEIIURAo588T8Pjj6Pbs8Yg7w8NJXLcOV1iYjzITOcmrSZhnz57ltUza3YSHh6cbe30nKlSowBdffJHhvvLlyzPzJuNBGzduTOPGjbMtFyG8oqrpC/Dmzd3/f0+ong3tS9Djtytsj7oxUTjOpvLEzzF81CiUPvcEIG6wt2+Pq0wZNBcuAKAkJ2P45htsr77q48yEECL7aI4fJ6BTJzSnT3vEHXXrkvzDD6jX5rmJgserx8NFixbNtL3MiRMnKFq0aLYmJUR+ojlxAk2q1WBVoxHHAw94HFPcpGX5Y8V5poq/R9ypwhvbYxm+IxaHSyZnuun12NKsL2CcPRvSLEQhhBD5lSYykoDWrdMX3w89RNKKFVJ8F3BeFeCPPvooX331FevWrXNPglQUhQMHDjB37lxatWqVo0kKkZelffrtbNQI/PzSHWfUKvyvSShj7w8mbSPCmQeTePrXGOJsMjnzOlvv3qhGo3tbc+oUuvXrfZiREEJkD+3OnQS2bYsmzWKB9scfJ+mHHyAoyEeZidziVQHev39/6tSpw7vvvusutvv160ffvn25++676devX44mKURelrYAt99kYSpFUXitRhBftyiKf5p17H89Z+Wx1Zc4meDIkTzzG7V4cexPPOERM0pLQiFEPqfbsIGAzp1R4uI84rannyZ5wQK4tr6JKNi8GgOu1+uZMmUKu3bt4s8//yQuLo7AwEDq1atH48aNC83CIkKk43Smm7Weevx3ZtpV9GPd41qe+fUK55JvDKs4FOug5U+X+LpFURqXNt7kCoWDtV8/j364uo0b0Rw8iOvee32YlRBC3B7d8uX49+2LkmZhQWv//lg++ACkcUSh4fVKmAANGjSgQYMGOZWLEPmOdu9elPh497araFFcNWt6dW7NYgY2tC/Bcxti+OvyjR/GMVYXHddfZmrjUJ6tWrgnZ7pq18bxwAPotm93xwyzZmGZMsWHWQkhRNbpFyzAb/BgFJfnUEPLiBFYhw0DeZhZqHhdgP/yyy/8/fffxKcqNq5TFIUxY8ZkZ15C5Avpup80a5alJxil/bWsalOCV7ZcZemJG4tM2V3w8pZYjsQ5GF0vGE0h/sFs7d/fswBftAjLu+9CaKjvkhJCiCwwTJuG3+jR6eLmDz/ElmbxMVE4eFWAf/755yxYsAB/f3+Cg4PT7ZchKKKwyqz/d1b46RS+bFaEqiE6Ju5L8Nj36YFEjsY5mNm0CIH6wvnRpKNtW1zlyqE5dw4AxWzG8PXX2AYO9HFmQghxC6qKcdw4TGk+tVO1Wsyff4796ad9lJjwNa8K8NWrV9O+fXtGjhwpxbYQ1yUmov3zT4+Qo1mz27qUoiiMqBNMtRAdr2y5iiVVt73Vpy20WXOZhS2LcldglkaNFQzXWhKaxo1zh4yzZmF7+WXQam9yohBC+JDTiWnIEIxz53qEVaOR5LlzcTz+uI8SE3mBV4/UzGYzLVu2lOJbiFR027Z5TKRxhoWhVqx4R9d8IsyfVW1KUNLP85/mgSt2Wq66xF+XbJmcWbDZevXybEl45gy6tWt9mJEQQtyEzYZf377pi+/AQJJ++EGKb+FdAf7ggw+ye/funM5FiHwlO4afZOT+EgZ+a1eCiKJ6j3iU2UXbtZdYejw5W14nP1GLFcP+1FMeMWlJKITIk5KT8X/uOQxLl3qEXUWLkvTTTzibNvVRYiIv8erz7DfffJMBAwYQFRVFjRo18MtgkZEOHTpke3JC5GW6P/7w2Pam/aC37grUse7x4vTbdJU1py3uuMUJfTZe5Uicg+G1gwrVp1LWfv0wfPONe1u3eTOaf/7Bdd99PsxKCCFSiY0l4Omn0e3Y4RF2lS1L0rJluMLDfZSYyGu8KsA3btzI6dOnOXnyJL/88ku6/YqiSAEuChXl4kW0Bw+6t1WNBsdDD2XrawTqNXzToihjd8czNTLRY9+H+xI4GudgepMi+OkKRxHuqlkTR+PG6LZtc8eMs2ZhnjrVh1kJIUQKJTqagC5d0EZGesSdYWEkLV+OWqGCjzITeZFXBfhXX31FvXr16N+/P8WLF8/pnITI89I+/XbWrZsjbfE0isLY+iFUC9UxeFss9lTtY5ecMHMq0cG3LYpRyr9wTEa09u/vUYDrFy/G8u67qEWL+jArIURhZ7hwgYBu3dAeP+4Rd0ZEkLR0KWrJkj7KTORVXo0Bj42NpXv37tSoUYMyZcpk+EeIwiTd+O9sHH6SkeeqBrDiseIUNXr+k919KWVy5oEr9kzOLFgcbdviuusu97ZiNqP/+msfZiSEKOw0hw9zz4svpiu+HY0akbhqlRTfIkNeFeA1atTg6NGjOZ2LEPmDqqLbuNEjlNMFOEDj0kZ+a1+C8BDPD67OJjlpvfoSa06bMzmzANHpsL74okfIOHs2OBw+SkgIUZhpjh0joE0bDNHRHnF7q1YkLV0qC4aJTHk1BKV3796MGjWKq1evUrNmTfz9/dNN/qpfv36OJChEXqM5dAjNxYvubTUgAGeDBrny2pWCdPzcrgR9/rjChnNWdzzJofLchiuMuT+YQRGBBXpypr1nT0wffohiSZmcqjl7Ft2aNThkHooQIpeZhg5Fc+WKR8zWpQvmGTPAYPBRViI/8KoAf/XVVwH49ttv+fbbb91xRVFQVRVFUdiRZsavEAVVuuEnDz6Yqz9oQwwavm9VjLd3xTHrYJI7rgLv7o7nSJyDKQ+EYtAWzCJcLVoUe9euGBYscMeMM2dKAS6EyFXajRvR//abR8z6/PNYJk+WRcLELXlVgH/xxRc5nYcQ+UZOth/0OgeNwqRGoYSH6hi2Iw6nemPft0eTOR7v4JsWRSlmKpi/BKz9+nkU4LqtW9EcOICrRg0fZiWEKDRUFdOYMR4hx4MPYvnkEyjAn0CK7ONVAb506VK6dOlC3bp1czofIfI2mw3d1q0eIV8U4Ne9cE8gYUE6ev1xhXjbjSp8e5SNlqsusahVMe4J1d/kCvmTKyICR5Mm6LZscceMs2Zh/uwzH2YlhCgsdCtWoNu71yNmGTdOim/hNa8mYW7atAmbrXAugS1Eato//0RJujHsw1W6NK577/VhRvBwORO/ti3B3UGeT7tPJjh5dNUlNpyzZHJm/mbt399jW//DDygxMT7KRghRaNjtmMaN8whdadECZ716PkpI5AbDjBmZ7lNiYvDv3j1L1/OqAK9Tpw6bNm3C5XLd+mAhCrB047+bNcsTTzyqherZ0K4ETUp7jkWPt6s89UsMs/5NzOTM/MvRpg2u8uXd24rF4jEsRQghcoLh6689Wg6qWi3nXnrJhxmJ3GAaMQL/p55CuXzZI6776ScCGzZMVx/cildDUMLCwvjhhx/YtGkTd999N0XTLHqhKApj0oyFEqIgSjf+++GHfZNIBoqatCx9tDhDdsSy4EiyO+5SYdjOOI7EOfigYQh6je/fMGQLnQ5r3774jR7tDhnmzME6cCDovPrRJoQQWZOUhHHiRI+QrUcPrJUq+SYfkWuSv/4av9dfJ/CBBzBPn47jgQfwGzIE/Q8/4HzoIZKnTcvS9bz6LfXbb79RrFgxAE6fPs3p06c99hfklmdCuMXGot2zxyPkaNbMR8lkzKBVmNo4lGohOkb9GU+quZnMOZTEf/EO5jUvSqjRqw+/8jx7jx6YPvgAxZzSA11z7hy61atxdOzo48yEEAWR8Ysv0ERFubdVPz+sw4dDYsH7lFF4crRrR2LDhvi9/jr+zzyDeq3Hu3naNOw9emT5el4V4CtWrMjyhYUoaHSbN6OkGoblvPde1Dy4CqyiKLwaEUSVEB0v/nGVRMeNMvyP81YeWX2J71sVIyw4/z8lVosUwdatG8Z589wx44wZUoALIbKdEhODcepUj5j1pZdSfg/IYoWFghoUhLNaNXRr16LExqLedReuChVu61oF4zGYELkgL7QfzIrW5f1Y17YEdwV4Ts48Gueg5apoNl+wZnJm/mLr189jW7d9O5r9+32UjRCioDJ+/DFKQoJ72xUainXQIB9mJHKTduNGAh94AOP06ViHDiVhzx6cYWEEdO6M36uvQmxslq6X6SOw9u3bM2nSJO69917atWt302EmiqKwcuXKLL2wEPlNugmYeWj8d2Yiiur5rX0Jum+4wq5LNzoZXbWqdF5/mU8ah9KzWoAPM7xzrurVcTRtim7TJnfMOGsW5s8/92FWQoiCRDl9GsOcOR4x65tvylLzhUhAp064wsNJ/PlnXLVrA5C8fDmGWbMwjR2LbsMGEg4e9Pp6mRbg9evXJygoyP3/Ms5bFGbKqVOes971ehyNG/swI++V9NOysnVxBm29yuLjZnfcocKgrbEciXUw9v5gtPl4cqa1f3+PAlz/449Yxo5FLV7ch1kJIQoK04QJKKnaMbvuugtb374+zEjkNtsrr2AZNQqMRs94v344WrXC7+WXs3S9TAtwvV6P0+kEoH///hQrVgy9vuAt6CGEN3QbN3psO+vXh8BAH2WTdSadwsymRagWquf9PfEe+6b/k8jReAdzmhUhSJ8/R6U5WrfGVaECmmsTxBWrFcP8+SlPqIQQ4g5oIiPRf/+9R8wyYgSYTD7KSPiC5f33M93nCgsjae3aLF0v09+2a9asIebaohadOnXiYBYeqwtR0OTH4SdpKYrCkFpBzH+4KH5az6fd689YeGz1JU4nOnyU3R3SarGmeRpl+PJLsNt9lJAQoqAwvfceinpjMrvz3nuxP/20DzMSvqKcP4/pjTcIrF2b4NKl0ezbh+mdd9D/+GOW1wTJ9Al4SEgICxYs4MyZM6iqypYtWzh58mSmF+rQoUOWXliIfMPlSvcEPD8W4Nd1rORHhUAtz26I4ULyja4u/1510PKnS3zbsigNShpvcoW8yXa9JWFySg90zfnz6Fetwt65s48zE0LkV9qtW9GvX+8Rs4weDVptJmeIgkrz338EPPYYKAqO5s3RLF0KgHLpEn79+qEaDDiyUAtnWoD36NGDKVOmsH37dhRFYf78+ZleRFEUKcBFgaX5+280V664t9XgYJzXJmDkV3WKG9jQriTPbIhhf8yNp8SXLC7ar7vMZw8WoWtlfx9meBtCQ7E9/TTGr75yhwwzZ0oBLoS4PaqKKc0ig45GjXC0bu2bfIRPmUaORC1XjsTVq8HPD/2SJQCYZ85EsVgwTpuWPQV4t27daNu2LQkJCXTq1IkPP/yQe+65587vQIh8Jl37waZNC8RKi2UDtKxpU5wBm6/y0ymLO251Qr9NVzkS5+DtOkFo8tEEbFu/fh4FuG7HDjT79rlnrAshhLd0q1ah+/NPj5hlzJgsDzUQBYNu61bMn30GQUFwbY7kdbYePfB//vksXe+mM64CAwMpU6YMo0aNok6dOpQpUybTP9klPj6e0aNH06pVK9q2bcv06dPdk0EvXLjAwIEDadq0KV27dmXbtm0e5+7evZtnn32Whx56iAEDBnDmzJlsy0sUXvoCMP47MwF6DfMfLsqbNdNPKJ28P4Hn/7hCssOVwZl5k+uee7Cn6c9unDnTN8kIIfIvhwPTe+95hOxt2uBs1MhHCQmf02hQM3vzlZSU5TdmXrU8aNeuHTqdjt9//521a9eyevXqdH+yy6RJk4iOjmbmzJmMHTuW1atX891336GqKkOGDCEkJIR58+bRtm1bhg8fzrlz5wCIiopiyJAhtG7dmvnz51OsWDGGDBmCy5V/igeRB5nNaHfs8Ajl9QV4skqjKIyqF8LMpkUwpPmJsOKkhbZrL3Mh2ZnxyXmQrX9/j239kiUoly75KBshRH6k/+47tEeOuLdVjSZl7LcotBwPPIDp448hLu5GUFHA6cQ4Z06WWxN79Tn6zp07eeuttzCbzaipZgLfeH2Ftm3bZumFM7N161beffddKleuDMBjjz3G7t27ueeeezh9+jSzZs0iICCAsLAwdu3axcqVK3nppZdYvnw5VatWpWfPngCMGjWKNm3asHv3bho0aJAtuYnCR7djB4r1xoqRrvLlcYWF+TCjnNOtsj+VArU899sVLltuvHHde9lOi5+iWdiyGLWLG3yYoXccjz6Ks1IltNcmjSs2G4Z587AOHerbxIQQ+UNyMqYPP/QI2Z95Bte99/ooIZEXWMaNI/DRRwmqVw9HkyagKBinTkV76BCaM2dIzK42hKl9/vnnlClThs8++4wffviBJUuWePz58ccfb+tmMhISEsK6deuwWCxcunSJ7du3c8899xAZGUm1atUICLixal+tWrU4cOAAAJGRkdSpU8e9z2QyER4e7t4vxO3IsP1gAR7/17CUkQ3tSlA91PO9+YVkF23WXGblSXMmZ+YhWm26BTKkJaEQwluGWbPQnD/v3laNxpS+36JQc4WHk/jHHzhatEC3Ywdoteg2bcJZrVrK6pgREVm6nlcF+IkTJ3jppZeoX78+FSpU4K677kr3J7sMHz6cPXv20Lx5c9q2bUuxYsXo27cvly9fpkSJEh7HFi1alOjoaAAuX75M8TSr3qXeL8TtKAj9v7OqYpCOdW1L8Nhdnq0IzU6Vnr9f4eP9CRl+EpaX2J57DjXVm3XNxYvoV670YUZCiHwhNhbTlCkeIVu/fqjZWOeI/Mt1992YZ80i4dAh4i9dIuG//zDPm3dbn454NQSlePHi2FItwZqTzpw5Q3h4OC+++CJJSUl89NFHTJs2DYvFkm4lToPBgP3aUy2LxYLB4PnxuF6vv2neR48ezf4byAOvldfk13vXXblC7VSfoKiKwpG77sKRxfvJr/c/tiIUc+n57rznv7v39sTz15krjKxqSzdmPC1f3nuFNm0omerTOdenn3K0Zs1ce/38+nXPLoX5/uXe869yn31GSKoxvo7AQP7t2BGnF/eV3+/9TuXW/VetWjVXXgdAucn6NxlRK1Xy+livCvCuXbsyf/58GjZsSGAOLr999uxZpkyZwvLlyylVqhQAI0eOZODAgXTs2JGkpCSP4202G6ZrS8EaDIZ0xbbdbickJCTT18utL+LRo0dz9RsmL8nP9369x+d1rpo1ubt+/SxdIz/fP8D/qkHDw0m8uT0WR6qH3msu6YhR/PmmRVFK+GW8IIWv710zdCikKsADDxzgnsREnKmGquUUX9+7rxXm+5d7z7/3rpw7R9DixR4xx5tvEnb//bc8N7/f+50qqPcfVKdOloadxqdaM+RWvCrAjx8/zvnz53n88cepVKmSu+i9TlEUZmZDq6+DBw/i7+/vLr4B7rnnHpxOJ8WLF+fYsWMex1+5coVixYoBULJkSWJiYjz2x8TEuCdzCpFVaYef2AvB8JOM9AoP4O5gHT1/iyHWdqMK3xlto+WqSyxqVYzqRfQ3uYJvuMLDsbdogf6339wxw8yZmGfM8GFWQoi8yvThhyiWG2siuMqUwZqmq5IoXMyff+7+fyU+HtO77+J44AHsTz6JWqYMSkwM+lWr0G3YgPmDD7J0ba/GgJ89e5aqVaty3333ERAQgFar9fij0Xh1mVsqUaIECQkJREVFuWMnrz3+r1ixIkeOHMFsvjEJbN++fURcG/QeERHB/v373fssFgtHjhxx7xciS1Q1/QI8hbQAB2haxsiGdiWpEuz5nv10opPHVl/i5zOWTM70rXQtCZcuRZF5IUKINDSHDqH/9luPmOWtt8A/n60IXJhZrfi99hrBFSsSVK0ahqlTMz1Uc+QIAe3bE1ymDIH16qFbsSLD4+zPPuv+o921C3unTiQvX469e3ccLVti79qV5AULsHXrluV5Rl49Af/iiy+ydNHbFRERQbVq1Rg3bhyDBw/GYrHwwQcf0KZNG1q0aMGcOXMYO3Ysffv2ZcuWLURGRvLOO+8A0L59e7755hu++uormjdvzldffUWpUqWon8UhA0IAaI4dQ3P2rHtbNZlwNmzow4x8r3KIjl/blaDX71fYeOFGa8YEu8rTG2J4r34IL1cPQMlDXWIcjzyC8+670Z44AaRqSThsmI8zE0LkJab33kNJtW6Is2pV7M8958OMRFaZRo1Cu2sXiStWoDl3Dv8BA1Dvugv7E094HpiYSECnTjgeegjzli3ofvkF/xdfJDE8HNdNVnzXr19P8rx5Ge5ztGmDf69eWco3S4+ujx07xuLFi/nyyy9ZunRpuiEhd0qn0zFlyhSCg4N5+eWXGT58OHXr1mXEiBFotVomT57M1atX6dWrF2vWrGHSpEmULVsWgLJlyzJx4kTWrl1Lr169iImJYfLkydn2dF4ULum6nzzwAKQZelUYhRo1/PhoMfqEB3jEXSqM3BXH4G2x2F15qEOKRpO+JeFXX0EuTSoXQuR92p070adZUNAyahTovHpGKfKCpCQMCxZg/uADXLVr42jbFuugQRhmz053qGHRItDpME+fjqtyZWwDBuBo0QLtrl03fQk1JATNwYMZ7tPu3o16bUi0t7z67nK5XEyYMIFVq1Z5tB9TFIXHHnuMMWPGZNtTrxIlSvBBJuNoypcvf9Ox5o0bN6ZxFlciEiIjhbH9oLf0GoWPHwihWqiOt3fFkbrenn8kmePxDha0yNoPopxke+45TOPHo1ybxH29JaH9ySd9nJkQwudUFdOYMR4hx/3342jf3jf5iNuijYwEqxVno0bumKNRI4wffQQOh8ebKd2mTdjbtIFUnfWSv//+lq9hf+qplAWaDAbsbduiFi+OEhWFYelSjJ9+muVPVr16PPz111+zevVqXnzxRZYvX87mzZtZunQpL774Ij///DPfphk3JUS+5nCg27LFM1TAlp+/U4qiMKB6IN+3KkaQ3vPN9+aLNlqtiuaUOY8MRQkJwfbssx4hQzZMGhdC5H+69evRbd/uEbOMGVOgF1wriJSLF1GLFPH4pFotWRLFZkO5fNnjWM2JE6glSmB6802CwsMJbNoU3bp1t3wNyzvvYG/TBtOIEQTVqkVwuXIE1a2L8f33sfXsifXNN7OWc2xs7C0/L37iiSdo0aIFr7zySrp9n3/+ORs3bmRxmtY9+UFh79kpMhbw99/c+8IL7m17kSLsX7cOZDhTvmU6eZKIp57yiB2cN4+k++7zUUZCCJ9zOqn+3HP4pxpOG/vgg/z36ae+y0ncUkbtDvWLFmEaO5aEVENElJMnCa5dm/j9+1ErVnTHA+vUQRMTg/XFF7F37Iju998xvfceiRs24Kpd+5avrzlyBN3WrShXr+IqXhxHs2Ye1/eWV0NQoqOjqVu3bob76taty6JFi7L8wnmB9AHPefnx3o1Ll3psqy1aUDU8/LaulR/v/3Zctjjp8dsVtkdlPLa6tJ+GNhVMPF7Bj6ZljBi1ufx0qWpV7C1bot+wwR2qvGYN5k6dcuTlCsvXPTOF+f7l3vPPveu/+86j+FYVBe3Eibd1D/nt3rObr+9fNZnAavWIKde303ay0elw3ncf1tGjAbDVqoVu+3YM8+Zh8eLNl6taNWzVqt1xzl4V4GXKlOHIkSM88MAD6fYdOXKEIkWK3HEiQuQV6doPyvCTWypu0rL8seIM3hbLwv+S0+2/aHYx93Aycw8nE6hTaHWXibYVTDxyl4lQY+58smDr39+jANcvW4blvfdQU607IIQoJCwWTBMmeITsXbviktbF+ZJapgxKbGzKBPtrq6IrUVGoRmPK0JTUx5Yujevuuz1iripV0Bw+fIsXUdF//TX6tWtRkpMhVdeclBdUSMpCK0KvfvM99thjzJ07l3Xr1uFwOABwOBysXbuWuXPn0qpVK69fUIg8LSEB7Z9/eoSkAPeOUavwvyahvHd/MKaMF8cEINGhsvykmb6brlJl4QU6rb/MrH8TOZvoyNH8HK1a4QwLc28rdjuGuXNz9DWFEHmTYc4cz1azBgOWt9/2YUbiTjhr1ACDAe3One6YbscOnLVrp+tm42jQAG2qdWMANIcP46pQ4aavYXz/ffxeew3tgQNgsaRM7kz9x27PUs5ePQHv0aMHe/fu5d1332Xs2LEEBwcTHx+Py+WiXr169JeVokQBodu6FcVxoxB0VqmCWr68DzPKXxRFYWCNIHpUC+Dr3Sf5yxbKr2ctJDoynmriUOGP81b+OG9l2M44ahXT83gFE20r+HFfEV329hTXaLD164ffW2+5Q4avvsL6xhvuJyZCiEIgLg7jxx97hGx9+tzWOF6RR/j7Y3vmGfyGDMH8v/+hREVhnD4d87UhJUpUFGpwMPj5YevdG+PMmZjefRdb797o1q5F98cfJKb6hDQjhm+/xdanD5Y03zu3y6sC3GAwMH36dLZt28aePXuIj48nODiYunXrSts/UaBI+8HsEWrU0Lqkk4FVi2J1qmy6YGXNaTNrTluIMrsyPW9/jJ39MXY+2JtAhUAtba+NG3+glAGd5s6Lcduzz2J6/32UxEQANNHR6Jcvx9616x1fWwiRPxinTUNz9ap7Ww0KwjpkiA8zEtnBMn48fm+8QUCHDqhBQViGDsXepQsAweHhJH/+OfbnnkMtX56kZcswDR9O4IwZuCpVInnBAly1at30+kpcHPYOHbIt3yx1mU/dZzshIYGgoKBsS0SIvEDGf2c/o1bhkbtSxnt//IDKnst21pw2s/qUhcNxmQ87OZ3o5It/k/ji3ySKGBUeu8tE24p+tChrJEB/m+PGg4OxPfssxlmz3CHDzJlSgAtRSCgXL2L83/88YtaBA1GLF/dRRiLb+PtjnjED84wZ6XbFxcZ6bDvr1yfpt9+ydHln7dpo9+/H2azZnWTpdtMC/OrVq0ybNo177rmHbt26ueNms5l27drRrFkzhg4dKoW4KBCUc+fQppqEoWq1OJo08WFGBY9GUbi/hIH7SxgYXS+E/+LsrDltYc1pCzujbWTWE/WqVWXRMTOLjpkxaaFZ2ZRJnG3Kmyjhd5MB5xmw9evnUYDr/voL7e7dOO+//w7uTAiRHxgnTkQxm93brpIlsb78sg8zEvmF+YMPCOjeHYKCcDRsiJq2uwqgVqrk9fUyLcATEhIYMGAAZ8+epUqVKh77rFYrrVq14ueff+a///5jzpw5+GeQiBD5iW7jRo9tZ716EBLio2wKhyohegbV0DOoRhDRZifrzlhYfdrCH+ctWJ0Zn2NxwvozFtafsaAADUsa3OPGK4fc+kM9V5Uq2B95BP0vv7hjhpkzMUsBLkSBpvnvPwwLFnjErMOGQWCgjzIS+Ulgq1bgcmF6441MF2qKv3LF6+tl+tvqu+++48qVK8ydO5dqafodhoaGMmrUKLp06cKrr77KwoULeSHVwiVC5Ecy/MS3Svpp6VktgJ7VAki0u/jtXMq48fVnLVy1ZvxsXAV2RNvYEW1j9O54wkN0KcV4RT/qFtejyeSHpK1/f48CXL9sGZZx41DLlMmJWxNC5AGm995Dcd54Z+8MC8PWq5cPMxL5iXnq1GxdITXTAvy3336je/fu6Yrv1O677z6eeuopNmzYIAW4yN9UNX0BLhMwfSZQr6FDJT86VPLD4VLZHmVLGTd+2sLpxEwejQOH4xwcPpDIlAOJN138x9GiBc4qVdD+9x8AisOBYe5crNKGTIgCSfvXX+hXrPCIWd95B/R6H2Uk8hv7c89l6/Uyncl04cIF7r333lteoHbt2pw/fz5bkxIit2n++QdNdLR7Ww0MlDHBeYROo/BQGSMfNAxl/5Ol2NKxJCPqBFGr2M1/cV5f/OepX2Ko/N0Fev9+hR+OJRNrdblbEqZmmDs33UpqQogCQFUxjRnjEXLUro09h1bCFQWIy5W1P1mQ6RPwgIAAEq+16roZu92OyWTK0osKkdeke/r94IPyZCQPUhSFiKJ6IorqGV47mDOJDtaeThk3vvWilUzajbsX/1l+0oxOgQdLG+lUpwMDA8ehvd6S8NIl9MuWYX/66Vy8IyFETtP99hu6zZs9YpYxY0CTO6vwivwruFgx74edKArxMTFeXzvTAvyee+5h69attGjR4qYX2Lp1K+VloRKRz8nwk/ypfKCOftUD6Vc9kFiri1/OphTjt1r8Z+MFKxsvAHU7MXjTN+59hhkzsHfrlq3j/IQQPuRyYXr3XY+Q/eGHccocH+EF67BhOfb7INMCvEOHDowcOZImTZrwcCbFyO+//86qVasYNmxYjiQnRK6wWtFt3eoRkgI8/wk1aniqsj9PVfb3evGf6U2eZdDmb9GoKcW6bt8+Zs77jeqtm2Tb4j9CCN/RL1mCNjLSI2ZJU5ALkRnriBE5du1MC/CHH36YRx99lBEjRtC4cWOaNGlC2bJlcblcnD9/nq1bt7J9+3YefPBBOnbsmGMJCpHTtDt3evaFLVMG100mH4u8z9vFf46VqMiae5vS7t8bLSjLL5hDe+5xL/7zeAU/Wpa7g8V/hBC+YbNhev99z9ATT+CqXds3+QiRyk2b5o4ZM4YqVarwzTffsHXrVpRrj+FVVaVo0aK88sorPPPMM+64EPlR2v7fjubNZQhCAXKrxX+mPfScRwH+5P5fGBIbxfnQUtm2+I8QIvcZ5s5Fc+qUe1vV6bCOHOnDjIS44ZarVnTv3p1nnnmGgwcPEhUVhVarpUyZMlSrVk0Kb1Eg6H7/3WNbhp8UbOkW/zn9OKdXVabCuWMA6F0OBmz7ntGPD3Kfc6eL/wghcllCAsaPPvII2Z5/HldYmI8SEsKTV785tFotERERRERE5HQ+QuQq5epVtHv3esRkAZ7Co6Sflp7hgRhefwmGDHHHB2z/gfGP9MeqN6Y753YX/xFC5B7j9OloLl92b6sBAViHDvVhRkJ4kkGNolDTbtqEot7oluGsXh21ZEkfZiR8wfb006jBwe7tEolX2OHcwkvVA6gQePPhJofjHEw5kEirVZeo/v1FXt92lW1XNThdmfREFELkKCU6GuP06R4x6yuvyM92kadIAS4KNWk/KAAIDMTWvbtHqMbCOXzQIOS2Fv957R8T7dddxuaUIlyI3Gb86COUpCT3tqtYMayvvurDjIRITwYvikJNxn+L62x9+2L44gv3JyLav/9Gu3MnzkaNbmvxn21RNj49kMCw2sEZHyCEyHaaEydSVrVNxTp0KATLv0ORdQFt2nh/sKKQtGaN14fLE3BRaCknT6I9edK9rRoMOB54wHcJCZ9y3X03jsce84gZZs5Md9z1xX9WtC7Of8+UYXbTInSq5EegLv3Y74/2J3Ao1p5jOQshPBnHj0dx3Gg16qpQAdvzz/swI5GvaTSg1Xr3J4srq2bpCXhcXBx///03CQkJFClShBo1ahAYGJilFxQir0g7/MTZoAEEBPgmGZEnWAcMQL9unXtbv3IllnPnUMuVy/D4jBb/eXnzVS5ZUhb+sbtg4JarrHu8BFpZ1EeIHKXZtw/Djz96xCzvvAPG9JOphfBG0urVOXZtrwpwp9PJjBkzWLx4MRaLxR03Go306tWLF154IccSFCKn6GX4iUjD2awZzvBwtIcPA6A4nRi++grrqFG3PPf64j8fNQql9x9X3PE/L9mZfSiJAdXlYYUQOck0bpzHtjMiAvuTT/ooG1EQaLdswdmkSY5c26vn5XPmzOGbb76hY8eOzJw5k8WLF/PFF1/Qpk0b5syZw/fff58jyQmRY5xOtGkX4JECXCgKtv79PUKGuXMh1Uqpt9KxkonmRR0esXF/xXMqwZHJGUKIO6XduBH9b795xCxjxmR5WIAQqQW0b0/g/fdj+OwzlEuXsvXaXn1n/vTTT/Tq1Ys33niD2rVrU7FiRerWrcuIESPo1q0bCxcuzNakhMhp2v370cTGurddoaE4a9XyXUIiz7B16+bRklBz5Qr6JUu8Pl9RFIZVthNsuDHkJNmhMnhbLKoqXVGEyHYuF6Z33/UIOZo0wdGypY8SEgWFecYMXHfdhWnMGILuuw//Xr3QpXmjd7u8GoISFxdHzZo1M9z3wAMPsCQLv5yEyAvSjf9u2jRlEoUQAQHYevb06CNsnDkT+3PPgZeL7JQwqrxfP4RBW2Pdsd/PW/nuv2Seq1qA5xlYrWgOHiTgv//QXrly6+MLIGktlvv0K1ag27fPI2YZO9brf69CZMberRv2bt1Qzp3DsGgR+kWL8H/iCdS77sLWowe2557LdI7QrXj1s6Jhw4asX7+exo0bp9u3bds26tSpc1svLoSvSPtBcTPWF1/E8PnnN1oSHjiAdvt2nBn8DMxMj6r+/HAsmc0Xbe7YyF1xtCpnopR/wXqzp1y9imH2bAwzZ6KJieFeXyfkQzUNBiyTJ2Pv2dPXqRQOdjvG997zDHXogLNePR8lJAoitVw5rG++ifXNN9Hu2oV+4UIM//sfxkmTcLRoga1XLxytW2fpQV6mBfjKlSvd/1+9enW+/PJLYmNjeeSRRyhWrBjx8fFs3ryZLVu28Prrr9/ZnQmRm5KT0e7c6RGySwEuUlErVcLRpg36VD1djTNnkpyFAlxRFKY9WITGy6MxX1uQJ9amMmxnLPMfLpbtOfuCcvYsxs8/x7BggcfCJ4WZxmbDf9AgzLGx2AYN8nU6BZ7h66/RHj/u3la1WixeTJoW4nY5GzTA2aABlg8/RL96NfqlS/Hv2xc1OJiEQ4e8vk6mBfj48ePTxXbs2MGOHTvSxT/44AM6duzo9YsK4Uu6bdtQbDeeSroqVkStVMl3CYk8ydq/v0cBrlu1CuXMGdTy5b2+xt3BOt6uG8SoP+PdsRUnLfx0ykz7in7Zmm9u0hw8iHHqVPQ//ujRc1nc4Dd6NMrVq1hHj5ahEDklKQnjxIkeIVuPHriqVvVRQqJQMRpxVaqEKywMdf9+lAsXsnR6pgX48uXL7zQ1IfKktOO/5em3yIizaVOc996L9uBBIFVLwjSTvW7lpeqBLDthZs/lGwvyDNkey0OljYQa81eHBu2OHRg//dSjV3paanAwSRUrYvLLv28wbpd2/34Uq9W9bZoyBSU2FsvkyTLHJAcYv/gCTVSUe1v188M6fLgPMxKFgXLyJIbvv0f/ww9ojh/Hdffd2Pr0wfbss1m6TqYFeJkyZe44yaxatWoV49L08bxu5cqVqKrKhAkT2L9/P6VLl2bw4MEe49J3797NJ598wpkzZ7jvvvsYOXIk5bPwtEoUDjL+W3hFUbD274//4MHukGHePKzDhkEWikudRuGzB4vQbGW0e9n6KLOLUX/G8VmTItmcdA5wudCtX49x6lR0GXwC6j6sVCmsL7+MrXdvjkZHU7UQPoXUbtqE39NPo01OdseMc+eixMVhnjEDDAYfZlewKDExGKdO9YhZX3oJ1Qe1iyj4lGvdsPQ//IB2924wmbC3b4/5009vu0+41xO2//77b/766y/sdru7lZbL5cJsNrNv3z4WLFhwWwmk1qpVKxo1auTeVlWVN998k7Jly1KqVCm6d+/O3Xffzbx589i8eTPDhw9n0aJFlCtXjqioKIYMGUKfPn1o0qQJX375JUOGDGHhwoVopA+ouEaJjkb7zz/ubVVRUjqgCJEB+1NP4Rozxt2yUnP1KvoffsjyBLv7iup5o1YQk/YluGNfH03myTA/mpU1ZWfK2cduR//jjxinTXN/CpARZ+XKWF97DXu3bjdWHIyOzqUk8xZn06Yc/uIL7nn9dTSpusAYli5FSUggef588Pf3YYYFh/Hjj1ESbvx7coWGYpUx9yKb6ZcuRf/99ykP7ux2nLVqYfnoI2xPPgkhIXd0ba8K8MWLF/PJJ59k2MNWo9HwwAMP3FES15lMJkymG7+MFi9ezMWLF5k+fTq7d+/m9OnTzJo1i4CAAMLCwti1axcrV67kpZdeYvny5VStWpWe134xjho1ijZt2rB7924aNGiQLfmJ/C9d+8HatVGL5IOnkMI3AgKw9+yJcdo0d8g4cyb2Hj2yPK73zZpBrDhh5nDcjTHTg7bGsq1TSQL0eeghQWIihgULMP7vf2jOns30MEfdulhfew1Hu3YyvCKV5OrVSVq7loDOndGcP++O63/5hYAnniBp4UIIDfVdggWAcvo0hjlzPGLWN9+Uv1eR7fxeeAE1NBRbr17YevbEVaNGtl3bq5/6P/74Iw0bNuTnn3+mR48edOrUiY0bNzJhwgQMBgOPPvpotiV0XVJSEnPmzKFfv34EBwcTGRlJtWrVCAi40UO3Vq1aHDhwAIDIyEiPdogmk4nw8HD3fiEgfQEuw0/ErVhfeAE11ado2n/+Qbt1a5avY9QqfNYklNRl+6lEJxP2JmR6Tm5SLl/GOH48QRER+L39dqbFt71lSxJXriRpwwYcHTtK8Z0BV3g4ievW4QwL84jrtm8nsH17lEL6CUF2MU2Y4DmR/q67sPXt68OMREFlnjWLhEOHsHz0UbYW3+BlAX7+/HmefPJJQkJCqF69Ovv27cNkMtGyZUt69OjB4sWLszUpgGXLlmEwGOjUqRMAly9fpkSJEh7HFC1alOhrP8guX75M8eLFM90vBKqavgBv3twnqYj8Q61YEcfjj3vEjDNn3ta1GpQ00r+650I8X/ybyO5LtkzOyHnKyZOYhg4lqEYNTB995LFC7HWqRoPtiSdI2LiR5CVLUoZtSWePm1IrVCBp3TqcEREece2BAwS0aYNy+rSPMsvfNJGR6L//3iNmGTECTHl0KJfI1+xPPQVGI8rJk2j+/TfdfuPYsWiOHr2ta3s1BEWv12O8NravfPnynDlzBofDgU6no2bNmixatOi2XjwzqqqybNkynnrqKXS6lBQtFgt6vd7jOIPBgN1ud+83pJngotfrsdky/8V29Db/0m5Hbr5WXpNX7t104gQRqT4SdhqNHC5WDDWH88sr9+8LBeXeg9q1I3zVKve2bvVqTm3ahO0mE74yu/dnQmCl0cR5a8rzD5cK/X6L4pvaFnJzJIrfkSOUXrCAor/+iuJ0ZniMy2jkcvv2XHzuOWx33ZUS9PJrWlC+9rcj9b1rp02jyuuvE7R//43YsWOYWrXiyOefYylgLVBz+ute5a233AtkAZjDwvi3Xj2vvy9zUmH+nofcu//cnuBtmDED06hR2J5/HsukSe64cuoUxqlTMX72GeaPP8beq1eWrutVAV6tWjU2btxIgwYNqFChApAy5KN27do58oT50KFDnD17lsdTPXUyGo0kpVnowWazuceMGwyGdMW23W4n5CaD5HPri3j06NFC2REA8ta9GzZs8Nh2NWlClfvuy9HXzEv3n9sK1L1XqYJz2jS0156AKC4X4Rs2pCx3nYFb3fv0IAtdfo5xbx9P1rAyuRRv1QnO3rzTUlW0W7ak9PD+9ddMD3OFhmJ78UVs/ftjLFGCill8mQL1tc+ijO7dtXYt9p49Pf7ODdHRVB8wgKQlS3DVrp3LWeaMnP66a7duJXDLFo+Ya/x4qt5zT469prcK8/c8FNz7127ciGnECOydOmF9+WWPfWrFiiTs24ffyJH4vf46rnvuwdmwodfX9up5yzPPPMOPP/7I6NGjMRqNNG/enNGjR/Pxxx/z2WefUTubf3hs27aN++67z2PISYkSJYiJifE47sqVKxQrlrKiXMmSJdPtj4mJSTcsRRReMvxE3DZFwTpggEdIP38+pGo3lxUtypl4topnN4yP/07g4FV7JmfcIZcL3U8/EdCqFYHt22dafLvKlsU8fjwJBw5gfecd1DTD/sRt8vcn+bvvsHXp4hHWxMQQ2L492s2bfZRYPqKqmMaM8Qg5GjVKWf5biBxi/OwzHI88gnnu3AwX7FMrVCD5669xNmiA8ZNPsnRtrwrw5s2b8/HHH1OlShUAhg8fTsWKFVmxYgVhYWEMGTIkSy96K5GRkdStW9cjFhERwZEjRzCbze7Yvn37iLg2vi4iIoL9qT7is1gsHDlyxL1fFHJ2O7o0E+dkAqbICvuTT+JK1TFHExuL/ocfbvt64xuEUNLvxo9guwsGbr2K05W+29Rts1rRL1hAYMOGBPToge6vvzI8zBkeTvLnn5Owbx+2V16BoKDsy0GkMBgwz56NtXdvj7CSkEDAk0+iW7vWN3nlE7pVq9D9+adHzDJmjMxFEDlKe+CAVwvs2Hr3RpvFph9ejzhs0qSJu8VfSEgIn332GZs2beKLL76gdOnSWXrRWzl+/DhhaWaP161bl9KlSzN27FiOHTvG/PnziYyMdE/SbN++Pf/88w9fffUVx48f5/3336dUqVLUr18/W3MT+ZN2927PnrElSuDK4eEnooDx98eWZoyfceZMyKA9qzeKGDV81CjUI7b7kp2ZB5MyPiEr4uMxfPYZQbVr4z9oENpMxmY6GjYk6bvvSNy+Hftzz8lCMTlNq8UyZQqWVIs7AShWK/7du6ebXCiucTgwvfeeR8jepg3OVOuGCJETlMREVC/aW7rKlEHJYAL7zdzxlJ9169bRo0ePO72MhytXrhAc7DkWUqvVMnnyZK5evUqvXr1Ys2YNkyZNomzZsgCULVuWiRMnsnbtWnr16kVMTAyTJ0+WRXgEkMHql82by5MTkWW2tC0J//33joYPdKhool0Fz+4N7++J52SCI5Mzbk6JjsY4bhzBERH4jRqF5sKFDI+zP/YYiWvXkrR+fUqHF/k5mXsUBeuYMZjTDKdQnE78+/fHMGuWb/LKw/TffYf2yBH3tqrRYBk92ocZicLCddddaA8fvuVx2iNHcGXxYbTXK2FmJjY2Nttnvm7O5Bda+fLlmXmT9l+NGzf2WJpeiOt0Gzd6bMv4b3E71PLlcbRrh37lSnfMOHMmybe5mqqiKEx+IJRNF6OIt6U8SU92qAzeFsuyR4uhePkmUXP8OIbPPsPw3XcoVmvGuet02J94Autrr+GqXv228hXZxzZ4MGqRIvgNHuzR1cNv2DCU2FisQ4fKQwKA5GRMH37oEbI/8wyue+/1UUKiMLG3aYNh9mxsPXuCn1/GByUnY5gzB+dDD2Xp2vLYQxR8cXFod+/2CMn4b3G7rP37e2zr1q5FOXnytq9X2l/L+Pqe3Zr+OG/l2/9uPcFTs28ffs8/T+D992OcOzfD4lv198c6YAAJe/dinjlTiu88xN6rF+avvkJN02LXNGECprffBpfLR5nlHYZZszxWFFWNxpS+30LkAttLL6HExRHQqROaffvS7dfu3UtAly5ozp/H+sorWbq2FOCiwNNt2eLR59gZHo56beiSEFnlbNzYY3EVxeXC+OWXd3TN7lX9aVbG6BEbuSuOi8kZ9OdWVbR//IF/p04ENW+OYdkylAwKNVfRoljeeouEyEgsH36IWr78HeUocoa9c2eSFy5ETfN0zfjFF/i9+io4bm84UkGgXL2KacoUj5itXz/U6z3phchhaqlSJH/3HZqzZwls0YKg8HACHn2UgJYtCapWjYCWLdGcPEnS11/jqlYtS9eWAlwUeOnaDzZr5ptERMGgKOmeghsWLICk2588qSgKUx8MxU97Y8hBnE1l2I7YGwc5neiXLSPg4YcJ7NQJfZrv6+tc5ctjnjgxpZXgW2+hFi1623mJ3OFo1YqkZctQ08x9Mnz3Hf69eoHF4qPMfMs4ZQpKXJx7Ww0OxvrGGz7MSBRGzvr1Sdi2DcuECThr1EBJSECxWnHWq4dl0iQSdu3CeRvDWqUAFwVeugJchp+IO2R/8klcqQpbJS4Ow+LFd3TNSkE63qnnWYCtPGXhp8NXMcydS2D9+vg//zy6DD4GBXBWr07yrFkk7NmDrX9/CAjI8DiRNzkbNSJx9WpcJUt6xPWrVxPQtSuk6uJUGChnz2JIM+fL+vrrqKlagQqRa0JCsA0YQPKPP5K4fTuJW7aQvHAhthdfhODbW0At00mY7dq182oCUPJtLkQhRG5Qzp71aMGmarU4mjTxYUaiQPDzw9a7N6ZUCy8YZs7E1rv3HU2cG3BvAEuPJ/PXZTsh5nhe2vo9j777DX7xlzM9x9G4MdbXX8fRqpVM2svnXDVqkLR2bcp40zNn3HHdpk0EdOxI8o8/FppPNEwffugxp8FVpky6T56EyDXx8ShxcemG8hnmzsXWuTN40aowrUwL8Pr163s9A1+IvCpt+0Fn/fqyyIjIFrY+fTBOneqeX6A9dAjtpk0472CIk1ajMKOqlY1zP6Hv1sUEWzMf1mJv2xbr4MEp39OiwHBVrkzi+vUEdO7s0f5Mt2cPAY8/TtLSpQV+Dovm0CH0333nEbO89Rb4+2dyhhA5R7dyJf4DB2Lr1QvLuHHuuHL6NKY33sD07rskf/kljkceydp1M9vx7rvv3n62QuQR0n5Q5BT1rruwt2+PYflyd8w4YwbJt1mAa44exThtGvUWLeJ+e8ZL0qt6PfauXbEOGoQrPPy2XkfkfWrZsiStWYP/U0+h27PHHdceOkRg69YkLV+OK81idQWJadw4j4nFzqpVUxaKEiKXafbtw/+FF3DWq4e9Y0ePfWqFCiStWoVpzBj8n3uOxI0bs9QeM9Mx4P/9999tJZvdPcGFuG0ul4z/FjnKlrYl4bp1WW5JqN29G//u3Qls0ADD11+jZFB8Jxj9mfXo80Tt3oP588+l+C4E1GLFSFqxAkea3sKa06cJaN0aTWSkjzLLWdqdO9GvWeMRs4waBbo7XrZEiCwzffIJzjp1SFq1Cme9eun2Ox98kKTVq3FVqYLx44+zdO1MC/ChQ4cyadIkLl265NWFzp07x/jx4xk2bFiWEhAip2giI9FcvjF2Vg0KyvAfkBC3y9moEc6aNd3biqpinD371ieqKrpffiGgbVsCW7VCv2qVx2Is10UFFuPtx1+jwuhf6d9mCOMuyvCpQiUoiKQffsD++OMeYU10NIFt26LdudNHieUQVcWUZoVQx/3342jf3jf5iEJPu2dPykTLm70BNBiw9uuHbteuLF070wL8m2++wWq10qFDB1555RWWLVvG4cOHiY+Px263c+XKFQ4ePMiiRYsYOHAgTz75JHa7na+//jpLCQiRU9I9/W7SRJ6iiOyVUUvCr79Gk9nkdIcD/Q8/EPjQQwQ89RS6rVszPMxZqRLmjz9mwndb+eCRfsT6pyzUM+PfJP6MtmXrLYg8zmQiecECbE8/7RFW4uII6NwZ3YYNPkos++nWr0e3fbtHzDJmjEwuFj6jxMTgKlXqlse57r4bxcsH1tdlWo0EBAQwatQounbtyty5c5k8eTJOZ/pFIYxGI02aNGH+/PlUy2ITciFykgw/EbnB/sQTuEaPRhMTA4ASH0+xNWugVq0bByUnY/jmG4zTp6M5fTrTazlr1sQ6eDD2Dh1Ap2O43cXyqGhOJ6b87FWBgVuvsrFDSYxaKUoKDZ0O8//+hxoSgjFVaz4lORn/p58mefZsHJ06+S6/7OB0Yho71iNkf/RRnNK1SnjLasVv2DD0y5ejGo1YX3kF22uv3fQU5epVAhs0wDJmTIbzDFxlyqA5efKWk+s1p0+jliiRpXRv+TgwPDycDz/8kOTkZPbt28f58+dJTEwkNDSUMmXKULt2bYxG460uI0TusljQbdvmEZICXOQIkwnb889jmjzZHSr5/ffY3noL5epVDLNnpyynfa1Az4ijWTOsgwenTBJO9bQvQK9h2oOhdFp/49xDsQ4++TuBEXVur/esyKc0mpQVTYsWxfTBB+6wYrfj36cP5vh47D17+jDBO6P//nu0Bw+6t1VFwTJ6tA8zEvmNadQotLt2kbhiBZpz5/AfMCBlsvwTT2R+zltvobnJk2tHy5YY5s7F3qMHaDIZNOJ0Ypg3D0eDBlnK1+vP4/39/WncuHGWLi6Er2h37kRJtXqc6667cFWp4sOMREFm69MnZdW+a58S+p08ia5XL3QbNqBkskKmqig4OnRIaSVYp06m125e1sRzVf359uiNYS2f/J1Ah4p+3FdUn703IvI2RcE6fDhqSAh+b711I+xy4T9oEObYWGyDBvkwwdtksWCaMMEjZO/aFVdEhI8SEvlOUhKGBQtIWrQIV+3auGrXxjpoEIbZszMtwHW//IJ2zx5cxYtnelnbSy8RuHAh/r16YZ48GTXNcBQlOhq/oUPRHjiAZdKkLKUsK2GKAilt/29Hs2YyjlDkGLVs2XQtqvQrV2ZYfKsGA9bevUncvZvk+fNvWnxfN75+CKX8bvy4trtg0NarOF3pJ26Kgs82YADJM2agarUecb/RozGOHQsZTOjNywxz5qA5e9a9rRoMWN5+24cZifxGGxkJVivORo3cMUejRmj37AGHI/0JCQn4vf465k8/BYMh0+u6wsJInjUL3caNBNWoQcAjj+D34ov4Pf88AS1bEnTffeh++QXzZ59lucmDFOCiQJLx3yK3pW1JmJYaHIzl9ddJOHAAy6ef4qpc2etrhxo1fNQo1CP212U7Mw5mvlCPKNjsTz9N8tdfo6YZAmqaMgXTG29ABnO28qS4uHTt22wvvIBasaKPEhL5kXLxImqRImAyuWNqyZIoNhvK5fQrCZvefRd7q1Y4H3zwltd2PP44CZs3Y3vxRZS4OPRr16LfsAHFYsH20ksk7NiBvVu3rOccGxubv94qZyPpWV4waWNjqf3oox5t3fatX4+jkCzhLHxEVbm3Vy8CUo1jBbAVL070M89wqUsXnIGBPkpOFFRBu3dT5c030abpvHPlkUc4MXYsqj5vD1Mq97//UWbuXPe2MyCAA8uX47iNpb1F4VC1atV0Mf2iRZjGjiUh1c9f5eRJgmvXJn7/fo83dNotW/Dv14+E7dshJISg6tWxjByZ64s9FeqebBl9EXPC0aNHc+218hpf3Lt+2TKP4ttZowZ3N2yYqzlcJ1/7wnXv6rRpqJ06oSQl4axSBeugQdi7dSPIaCQ7OnhHJTtpsCyKONuN7++mZYyseKwYSh4aYlUYv/bX5fq9V62K+Z578H/iCTRXrrjDRX/5hSAgef78XFvCPav3rly4QNCiRR4x++DB3F2/fnanluMK8/c8+P7+VZMJrFaPmHJ9O/X3v9mM36BBmCdOhJCQXMwwvdseghITE8OhQ4dwpVouVoi8IN34b1l+XuQSZ/36xB86xIElS0jctSulK0U2dokq5a9lfAPPXxqbLlj55mgmfcdFoeCsU4ektWtxlS3rEdf/8gsBXbpAbKxvErsF46RJKGaze9tVsiTWl1/2YUYiv1LLlEGJjQXbjXUSlKgoVKMxZWjKNdq//kJ7/Dj+AwYQXK4cweXKoVy4gN8bb2B6/fVczdmrAtxisfDBBx+wePFiAH7//Xc6dOhA7969eeaZZ7xeLVOIHKeq6QtwGf8tclNQENYKFTJvWXWHnqviT/OynkX9yD/juJCcT8b8ihzhCg8ncd06nGFhHnHdjh0EtmuHEh3to8wypjl6FMOCBR4x67BhEBDgo4xEfuasUQMMBo/VYXU7duCsXdtjAT5nvXok7NlD4ubN7j9qyZJY3n4bay5P/PXqN8Tnn3/OmjVr8L/2GH/69OlUrlyZCRMm4HK5mD59eo4mKYS3NCdOoDlzxr2tGo04HnjAhxkJkb0UReHTxqH4624MOYm3qQzZHouaz7pfiOylVqhA0rp1ONO079NGRhLQujXKTRaBym2m9993t+0EcIaFYevVy4cZiXzN3x/bM8/gN2QI2r/+QrdmDcbp092T45WoKDCbwc8PV1iYxx+0WtTixbO8kM6d8qoA/+OPP3j11Vdp164dx48f5+zZs/Tq1YsWLVrwwgsvsDPVOw4hfCnt029no0bg5+ejbITIGZWCdLxT13MhntWnLaw8ZcnkDFFYqCVLkrhqFY5U7dgAtMePE9i6NZrDh32UWapc/voL/YoVHjHrO+9AHp8wKvI2y/jxOOvUIaBDB/zeeAPL0KHYu3QBIDg8HP3SpT7O0JNXkzCvXr1K5Wsts3bu3IlWq6XhtUltRYsWJTlZxh+KvEHGf4vCov+9ASw9kczuS3Z3bOiOWJqWMVLEKB1mC7XQUJKWLsW/Z0/0v/7qDmvOnyegTRuSlyzxqv98jlBVTGPGeIQctWtj79TJJ+mIAsTfH/OMGZhnzEi3K+4m8yAS/v03033ajRuzlMKtlqxPzasCvFSpUpw5c4b777+fjRs3ct999xF4rZ3Wvn37KJVmZSAhfMLpRLdpk0fILuO/RQGl1Sh89mARmq6Mxn5tLny02cXIXXH876EiNz9ZFHz+/iR/9x1+AwZgSPXkT3PlCgHt25O0cCHOhx7K9bR0v/2GbvNmj5hlzJgcmzMhxJ0I6NQpZRG/mw3vu75fUYhP1YnoVrwqwFu3bs306dP5/fff2bt3L++88w4AkydPZunSpfTt29frFxQip2j37kWJj3dvu4oUwVWzpg8zEiJn3VtEz5s1g/hwX4I79t1/yTwZ5keLcqabnCkKBYMB8+zZqCEhGFP12lYSEwl48kmS583D0aZN7uXjcmF6912PkP3hh3HKJ5Uij0r66accu7ZXBXjfvn3R6XTs37+f1157jfbt2wNw6NAhunfvTu/evXMsQSG8leHy8/JURRRwb9QMYuVJM//G3lhu+bVtsWzvVJJAvXz/F3paLZZPPkENDcU0ZYo7rFit+Hfvjvl//7utVfxuh37JkpQlw1OxpCnIhchLnE2a5Ni1vV6I5/nnn08XmzNnTrYmI8SdkPaDojAyaBU+a1KER1ZfwnXtU9IziU7e3xPPhw1DfZqbyCMUBeu776KGhOCXavy14nTi378/5rg4bP365WwONhum99/3DD3xBK7atXP2dYW4A/qvv87S8fYePbw+1usC3OVysWHDBnbs2MHly5d58803OXDgABEREVRMtcSnED6RmIj2zz89QjIBUxQW9UoYeKl6IJ//k+iOzfw3iS53+9GgZPYtBCTyN9vgwahFiuA3eLDHasF+w4ahxMZiHTo0ZTxrDjDMnYvm1Cn3tqrTYR05MkdeS4js4jdokPcHK0r2F+CJiYm8/vrr/P333xQvXpyYmBiSk5NZvXo1H3/8MTNmzKBatWreJylENtNt24Ziv9ENwhkWhipvDEUh8nadIFadMnMqMaW3sgoM3BLLpo4lMWrzzjL1wrfsvXpBcDB+/fp5/Mw0TZiAcvUqlvHjs3/oXkICxo8+8gjZnn8+pQezEHlYwv79OXZtrxfiOXnyJLNnz2bFihXuxR4mTJhAuXLlmDlzZo4lKIQ3pP2gKOwC9BqmPRjqETsc52Dy/oSMTxCFlr1zZ5IXLkRNs0aC8Ysv8Hv1VXA4Mjnz9hinT0dz+bJ7Ww0ISHnaLkQep1aokKU/WeHVE/Dff/+dl156iZo1a+JMtXJVaGgoPXv25KM072yFyG26NL06pQAXhVGzsiZ6VPXn66M31maY8ncCHSv5EVFUFjkRNzhatSJp2TICunb16B5l+O47lLg4kr/8Ekx33klHiY7GmGa1bOsrr6CWLHnH1xYit2l37kS3ZQtYrTdaE6oqSlIS2u3bSfrjD6+v5VUBnpSURMlM/rH4+/tjNpu9fkEhspty8SLaVI30VY0GR9OmPsxICN95r34Iv5y1cNGc0hzcocLArVf5pW0JdBoZiiJucDZqROLq1QQ88QSa6Gh3XL96NQFdu5L07bcQFHRHr2H86COUpCT3tqtYMayvvnpH1xTCFwyzZmF6662Me4JrNDhatcrS9bwaglKlShXWrFmT4b5NmzZRtWrVLL2oENlJl+Ydp7NuXQgN9UkuQvhaqFHDRw+EesT2Xrbzxb+JGZ8gCjVXjRokrV2Lq3x5j7hu0yYCOnZEycLCImlpTpzAkKr/OJAy9CQ4+LavKYSvGObMwdGiBQnHj2N97TVsvXsTf/48yfPmgcmE/YknsnQ9rwrwPn368Ntvv/Hqq6+ydOlSFEXhzz//5IMPPmDlypX0yMKsTyGym4z/FsJT+4p+dKzkOXxgwp4ETsRn79heUTC4Klcmcf16nOHhHnHdnj0EPP44yvnzt3Vd4/jxKKnGk7sqVMCWQUtjIfIDzalT2F54AbVIEZx16qDbvh38/HB07Ih10CAMs2Zl7XreHPTQQw/x3nvvcfr0aSZPnoyqqkyfPp1NmzYxcuRIHs6mfssOh4MpU6bwyCOP0KpVKz788ENsNhsAFy5cYODAgTRt2pSuXbuybds2j3N3797Ns88+y0MPPcSAAQM4c+ZMtuQk8jhVlfHfQmRgUsNQQg03hpyYnSqDtl51T6IXIjW1bFmS1qzBUbeuR1x76BCBrVujOX48S9fT7NuH4ccfPWKWd94Bo7TFFPmUweCeuOyqXBnNsWNwrZOQo1EjNP/9l6XLed1r6JFHHmHlypUsXryY2bNns3DhQlavXk27du2y9II3M23aNP744w8mT57MJ598wvbt2/nyyy9RVZUhQ4YQEhLCvHnzaNu2LcOHD+fcuXMAREVFMWTIEFq3bs38+fMpVqwYQ4YMweVyZVtuIm/SHDqE5uJF97YaEICzQQMfZiRE3lDKX8v4BiEesc0XbR4TNIVITS1WjKQVK3A89JBHXHP6NAGtW6NJs4rlzZjGjfPYdkZEYH/yyWzJUwhfcNaogX71agBcVaoAoN29GwDNtXo0K7LU7NNsNlOxYkVq1qzJqVOnWLRoUbY9aU5ISGDJkiW8/fbb1KpVi5o1a9K3b18OHTrE7t27OX36NCNGjCAsLIxevXpRs2ZNVq5cCcDy5cupWrUqPXv2JCwsjFGjRhEdHc3ua38xouBKN/zkwQfBYPBRNkLkLc9W8efhsp5PHN/5M44Lyc5MzhCFXlAQST/8gP3xxz3CmuhoAtu2Rbtz5y0vod24Ef1vv3nELGPGZH9/cSFykfXllzHMmYNfv34pY77btcO/b19Mw4djGj0a5wMPZOl6Xv1rOHv2LE899RTz5s0DUpagHzFiBFOnTqV79+5EZuFdcWb27duH0WikQaqnl+3atWPq1KlERkZSrVo1AgIC3Ptq1arFgQMHAIiMjKROnTrufSaTifDwcPd+UXClnYDpaNbMN4kIkQcpisKnjUMJ0N0YihJvU3lze6wMRRGZM5lIXrAA29NPe4SVuDgCOndGt2FD5ue6XJjefdcj5GjSBEfLljmRqRC5xtGuHcnff4/zvvsAsHzyCc6qVTF8/TWue+/FnMWW3F4V4NOnT8dut/Pggw/idDpZvHgxDz/8MOvXr6dOnTp88cUXWb+TNM6dO0eZMmVYv3493bp1o0OHDkydOhW73c7ly5cpUaKEx/FFixYl+lrbpMuXL1O8ePFM94sCymZDt3WrR8iRTfMRhCgoKgbpGFXPs+vEmtMWVpy0+CgjkS/odJj/9z+s/ft7hJXkZPyffhrd8uUZnqZfsQLdvn0eMcvYsTm2xL0QucUwaxbOatWwvfYaAGqRIiQvW0b8+fMk/fQT6l13Zel6XvUB/+uvvxg6dCg1a9Zk//79xMXF8eSTTxIaGsoTTzzB6NGjs34naSQlJXH+/HkWL17MiBEjSE5OZuLEiTidTiwWC3q95yISBoMB+7XB7xaLBUOaYQd6vd49gTMzR48eveO8vZWbr5XX5NS9B+7ZQ0iq/rK24sU5rNNBHvu7lq994ZSX7r25DmoEGTmQoHXH3tgaQzmzmdAcWp8nL91/bitQ9/7CC5RRVcql6vCg2O349+nDqaNHudyp0424w4EmTT1wpUULjgcH57mfyzmhQH3db0Nu3b+vWl+bxozBVbo0jkqVsuV6XhXgVquVIkWKALBjxw78/PyoVasWAFqtFiUb3tnqdDqSkpIYN24cd117FzFo0CDGjBlD27ZtSUpVaAHYbDZM11bpMhgM6Yptu91OSIjnBKS0cuuLePTo0ULbKz0n7934/feegZYtqVqtWo681u2Sr73ce14xu6SdpiuisV2bm37FrvDl5WLMaFo0218rL95/bimQ9z5pEuawMPzeessdUlwuKo0fTymjEdugQQDEfvABplTzwlStFv3EiQXv7yMDBfLrngWF4f5dlSqhuXQp267nVQFeqVIldu/eTZ06dfj111+5//770elSTl2zZg0VK1a840SKFy+OVqt1F98AFStWxGq1UqxYMY4dO+Zx/JUrVyhWrBgAJUuWJCYmxmN/TEwMlStXvuO8RN6Vbvy3tB8UIlP3hOoZUiuICXsT3LFFx8w8VdlCy3J3vuS4KNhsAwaghobi98orKM4bk3j9Ro9GuXoV65tvUnb2bM9zevTAVcCLMlF42Hr1wvTOO2i3b8d17724Mlgh3p6FdXG8KsB79uzJqFGjWLx4MRaLhREjRgDQu3dvDh8+zPjx471+wczUqFEDp9PJf//9R5Vr7V1OnDhBQEAANWrU4JtvvsFsNuN3rQfjvn37iIiIACAiIoK9e/e6r2WxWDhy5Ah9+vS547xEHhUbi3bPHo+QFOBC3NzgGkEsP2nm36s3Fkd5bWss2zuXJEgvHSrEzdmffho1OBj/559HsVrdcdOUKehXr0abatVM1c8P6/DhvkhTiBxhuvYJkH7JkowPUJTsL8BbtWpF8eLF+fvvv7n//vupXr06AHXr1qV///48kMXWKxmpUKECTZs2Zdy4cYwYMQKLxcL06dPp2LEj9evXp3Tp0owdO5a+ffuyZcsWIiMjeeeddwBo374933zzDV999RXNmzfnq6++olSpUtSvX/+O8xJ5k27zZpRUfd6d996LWqaMDzMSIu8zaBWmP1iEVqsv4brWBOVskpP3/opnUqNQn+Ym8gfH44+T9MMPBDz7LEpiojuuPXLE4zjrSy/Jz2RRoCTs35+t1/OqAAeoXbs2tWvX9ogNujbuK7uMHTuWTz75hJdffhmtVkvbtm159dVX0Wq1TJ48mffff59evXpRrlw5Jk2aRNmyZQEoW7YsEydOZMqUKcydO5eIiAgmT56MRnqOFljSflCI21O3hIGXqwcy/Z8bxdPsg0k8cbcfDUvJKoXi1pxNm5L000/4P/EEmlRPva9zFSmCNZvrAyF8Ta1QIVuv53UB/vfff/PXX39ht9vd/WNdLhdms5l9+/axYMGCO04mICCAUaNGMWrUqHT7ypcvz8yZMzM9t3HjxjRu3PiOcxD5Q7oFeKT9oBBee7tuEKtOmzmZkDKWVwUGbo1lU4eSmHTSLk7cmrNOHZLWriWgc2c058977LO+8QaEhvomMSFykHL+PMbJk9H99huaixdJXLcOw48/4qxdO8srvXpVgC9evJhPPvkkw4UbNBpNtgxBEcJbyqlTaI8fd2+ren3KCphCCK/46zRMbVyEjusvu2NH4hxM/juBd+oG3+RMIW5whYeTuG4dAZ06uX8mOytXxta3r48zEyL7af77j4DHHgNFwdG8OZqlSwFQLl3Cr18/VIMBR4cO3l/Pm4N+/PFHGjZsyM8//0yPHj3o1KkTGzduZMKECRgMBh599NHbuxshboNu40aPbWf9+hAY6KNshMifmpU10rOav0fs078TiLxi91FGIj9SK1Qg6ddfsQwdysXnniPpp5/AJF11RMFjGjkStVw5EvbuxTxjBlx7KG2eORNH+/YYp03L0vW8KsDPnz/Pk08+SUhICNWrV2ffvn2YTCZatmxJjx49WLx4cdbvRIjblG74iXQ/EeK2jLs/hNJ+N34NOFQYuPUqDpcsUy+8pxYtinXkSM4OHox6bW6WEAWNbutWrK+/DkFB6VZ2tfXogfbw4Sxdz6sCXK/XYzSmTM4pX748Z86cweFIaWNVs2ZNTp8+naUXFeK2uVzpnoDL+G8hbk+oUcPHD4R6xPZetvNFqgmaQgghAI0GNbOFJ5OS0hXlt7ycNwdVq1aNjdeKngrXZoFGRkYCEB0dnaUXFOJOaP7+22PWvRocjLNOHR9mJET+1raiH50q+XnExu+N53i8I5MzhBCi8HE88ACmjz+GuLgbQUUBpxPjnDk4stgIxKtJmM888wzDhw8nISGBcePG0bx5c0aPHk2zZs34+eef07UnFCKnpGs/2LQp6Lxu5iOEyMCkRiH8cd5CrC1l6InFCYO2XuWn1sVRsvhURwghCiLLuHEEPvooQfXq4WjSBBQF49SpaA8dQnPmDIlr12bpel49AW/evDkff/yxe4XK4cOHU7FiRVasWEFYWBhDhw7N+p0IcRv0Mv5biGxX0k/LBw1DPWJbLtpYcCTZNwkJIUQe4woPJ/H333G0aIFuxw7QatFt2oSzWjUSf/4Z17XV2b3l9aPDJk2a0KRJEwBCQkL47LPPspa5EHfKbEa7Y4dHSMZ/C5E9nq7sx4/Hk9lw7sYS46P+jOORu0yUDdD6MDMhhMgDEhNxhYVhnjUrWy53yyfg586d49ixY+nin3/+OadOncqWJITwhm7HDhTrjeLAVb48rrAwH2YkRMGhKApTGocSkGohnni7yhvbYzNcA0IIIQqT4GrV8OvXD91vv7lbEN6Jmxbg33//PU899RTLli3ziJ8/f56vv/6ap59+muXLl99xEkJ4I8PVL2V8qhDZpkKgjtH1PBfiWXfGwrITZh9lJIQQeYP1tdfQ7t+P/xNPEFS9OqbRo9Fca0hyOzItwHft2sUnn3xC8+bNeeaZZzz2lS1blmXLltG0aVM+/PBD/v7779tOQAhvSf9vIXLei/cE0LCkwSM2bGccVyxOH2UkhBC+Zx0+nMSdO0n8/XfsXbqgX7KEwKZNCWzSBMPnn6NksStgpgX4t99+S+PGjZkwYQLlypVLt79MmTJMnDiRGjVqMG/evCzfiBBZoVy+jPbAAfe2qig4mjXzYUZCFExajcK0B0MxpPrtcNniYsSuuMxPEkKIQsJVuzaW8eNJiIwkacUKnLVrYxozhqAsTsLMtAA/cuQIbdu2veUFOnfuzJEjR7L0okJkVdrFd1w1a6IWK+ajbIQo2MJD9QytFeQR+/6YmV/OWnyUkRBC5CFWK7qVKzF8+SX65ctBr8feoUOWLpFpAZ6cnExwcHBmu92KFy9OfHx8ll5UiKxKO/zELt1PhMhRr9UI4r4ino2yXt8WS4Ld5aOMhBDCh1wudBs24PfSSwRXrYr/88+jiY7GPGEC8YcPY54zJ0uXy7QAL126NCdOnLjlBU6dOkWJEiWy9KJCZImqpl+AR8Z/C5GjDFqF6U2KoEk1z/lskpNxf8kDFyFE4RNUrRr+Tz2FdudOrK+8QsLevSStWYO9Z08ICrr1BdLItAB/6KGH+OGHH7BYMv/I0WKx8OOPP1KvXr0sv7AQ3tIcO4bm7Fn3tmoy4WzUyIcZCVE41Clu4JX7Aj1icw4msT3KmskZQghRMNnbtydp7VoS9+zBOnw4asWKd3S9TAvwp59+msTERF599VUOHjyYbv+///7LwIEDiY6O5tlnn72jJIS4mXTdTx54AEwmH2UjROEyok4QdwfdWIhHBQZtjcXikN7gQojCwzJlCs7wcDQHDqD5+2+Uq1fv6HqZroRZvHhxPvroI0aMGMHzzz9PkSJFKFu2LC6XiwsXLhAbG0vRokWZOHEilSpVuqMkhLgZaT8ohO/46zRMfbAIHdZddseOxjmYvD+Bd+rdep6QEELkd9pNmzBNnJiyGneqRXicjRphHTr0tlblvulS9DVq1GDRokWsXr2abdu2ERUVhVarJSIigkaNGtG6dWsCAwNvdgkh7ozDgW7LFs+QFOBC5KqmZYz0rubPvCPJ7tinBxLoUMlEzWKGm5wphBD5m2HWLExvvYVatiy2vn1TVuDW69EcP45u1Sr8n3wSy3vvYXv55Sxd96YFOEBgYCDdunWjW7dut528ELdLu2cPSqouO67ixXHVqOHDjIQonMbWD2H9WQsXklO6oDhUGLg1lg3tSqDTyIq0QoiCR7NvH6a338bWpw+WCRPAkOaBw9ixmN5+G9O77+Jo3BhX7dreXzt7UxUie6UbftKsGWjk21aI3BZi0PDxA6Eesf0xdj7/J9E3CQkhRA4zfvEFzvr1sUyenL74BtBosHz4Ic5GjTDOnJmla0slI/K0dO0HZfVLIXzm8Qp+dLnbzyP2wd54jsU5fJSREELkHN327dh69Ljlcbbu3dMNl70VKcBF3pWQgPbPPz1CtzPRQQiRfSY2DKGI8caQE4sTBm27ikuVrihCiIJFiYrCddddtzzOVbYsyuXLtzwutUwLcKtV+rwK39Jt3YriuPFkzVmlCmr58j7MSAhRwk/LBw1CPWJbL9qYfzg54xOEECKfUosWRXP+/C2P01y4gJrFRSkzLcA7duzI3r17AZgzZw5RUVFZurAQdyrd+G95+i1EntCtsh+tyhk9YqN3x3EuyemjjIQQhZ7Vit9rrxFcsSJB1aphmDo100P1S5cS+MADBJctS+CDD6JbuzbD4xyNGmH49ttbvrTh229xZHGBwEwL8KSkJOKvdZ+QAlz4goz/FiJvUhSFTxqHEqi7MRQlwa7yxvZYVBmKIoTwAdOoUWh37SJxxQrMU6ZgmjwZ/ZIl6Y7TbtuGX//+WAcMIHHLFmw9euDfowea/fvTHWt7+WW0W7difP/9m7/utm3YXnopS/lm2oYwLCyMcePGERYWhqqqTJw4kYCAgAyPVRSFmVmc/SnEzSjnzqE9fNi9rWq1OB56yIcZCSFSqxCoY3S9YIbtjHPH1p+xsPSEmZo+zEsIUQglJWFYsICkRYtw1a6Nq3ZtrIMGYZg9G/sTT3gcali4EHuHDth79QLANmAAuvXr0S9bhrVWLY9jnfXrYxk7FtPo0ehXrsTRujWuSpVQdTo0p0+jX7kSzbFjWMaPx1mnTpZSzrQAHz16NLNnzyYuLg5FUdBoNGi12swOF7egnDuHWq6cr9PIN3QbN3psO+vVg5AQH2UjhMjIi/cGsPSEmR3RNnds2I44FtX2XU5CiMJHGxkJVivOVMNAHI0aYfzoI3A4QHej3LX26wd6vecFFAXFYsnw2raBA3GFh2OcOBHD9OmeK2E2bEjSRx/hvI1P6DMtwCtXrsyHH34IQMOGDRk6dCg1a8pzjdsRvHMnQW++iWXMmCx/RFFYpRt+IqtfCpHnaBSFaQ+G0mRFNLaU9XmIsboYe8TIwCALFQK1VAjUEqCXhltCiJyjXLyIWqQImEzumFqyJIrNhnL5Mmrp0u542sX8NAcPotu4keTevTO9vuPRR3E8+ijKlSsop0+jqCquChVQixW7/ZxjY2O9HrDncrk4ceIECQkJhIaGUrFiRRQl/66AdvTo0Rx/jYADB6j2yitozWYAzvfty/m+fSEf/73lOFWlVuvW6K9ccYcOzZpFYhY/3hFCCCFEwVK1atV0Mf2iRZjGjiXh4EF3TDl5kuDatYnfvx+1YsUMr6VcukRA69aoZcqQtHJlri70d8ul6K9bs2YN06ZNIzY21h0LDQ3llVdeoX379jmRW47L6IuYrZKTCWrXDs214hug7OzZFFMULB9+WChWdDx69GiW/541kZEexbcaGEiZzp3Tf2SUD9zO/RcUcu+F597tLpWHf7pE5BX7bZ1f2k9DxSAdFQK1VAzUUSFIS8VALRUCddwVqEWfj5a6L2xf+9Tk3gvnvYPv7181mSBN+2zl+ra/f4bnKOfOEdClC2i1JC9YkOs1mVcF+MaNGxk7diz16tXj8ccfp1ixYly6dIm1a9cyfvx4QkJCaNq0aU7nmv/4+2P+4gtMzz6LNtXYIuOsWShxcZinT8+XRWVOSzf85MEH5e9JiDxMr1GY/mAoj6+9TLIj611QLppdXDTb2Bmdfp9GgbL+WvdwFnehfu2/5fy1aPNRgS6EyH5qmTIosbFgs7mXjFeiolCNxpShKWkoJ08S2KEDqr8/ST/9hFq0aC5n7GUB/tVXX/Hwww+7x4Rf16FDB9566y3mz5+fLQX4unXrGD16tEesadOmTJ48mQsXLjBhwgT2799P6dKlGTx4MI0bN3Yft3v3bj755BPOnDnDfffdx8iRIymfBxZtcbRowZHPP+eeN95AibvRLcDw/fco8fEkz53rMWZJZFCAS/9vIfK82sUN/NG+BCtPWfj73BWuKv6cTnRyNsmJ8w46E7pUOJuUcp1tGXTD1SlQLiBVYR6opUKQzv0EvbS/Bo0M+ROiQHPWqAEGA9qdO3Fe65im27EDZ+3aHhMwAZSrVwno1Ak1OJikFSvuaBz3nfCqAD9+/Dgvvvhihvvatm3LO++8ky3JnDhxgubNmzNs2DB3zGg0oqoqQ4YM4e6772bevHls3ryZ4cOHs2jRIsqVK0dUVBRDhgyhT58+NGnShC+//JIhQ4awcOFCNHlgmEdSzZokrl5NQJcuaKJvPOLRr11LwJNPkrRwIQQF+TDDPMRqRbd1q0dIJmAKkT9UC9UzJFTPUf+LVK2aMubS4VI5n+zkVIKT04kOTiU6OZ2Q8t8ziU7OJTm5k87hDhVOJTo5lZjxIkAGDZS/PrQlgyfoJUyafD2XSQgB+Ptje+YZ/IYMwfy//6FERWGcPh3zp58C156GBweDnx/G995Dc+UKiQsWgMOBcm2dG9VkytVua14V4EWKFCEu1dPb1GJjYzFce9x/p06cOEGVKlUoXry4R/zPP//k9OnTzJo1i4CAAMLCwti1axcrV67kpZdeYvny5VStWpWePXsCMGrUKNq0acPu3btp0KBBtuR2p1wRESStW0dAp05oTp92x3VbthDQoQPJP/7os3dheYl21y6UVGPmXWXK4AoP92FGQog7odMoVAjUUSFQBxjT7bc5Vc4lOTmV6OB0opNTCdf/m1KwXzS77uj1bS44Fu/kWHzGBbqfVrlWkKc8Mfd8gq6liFEKdCHyA8v48fi98QYBHTqgBgVhGToUe5cuAASHh5P8+efYn3sO/fLlKPHxBKUZuWHr2hXzrFm5lq9XBXj9+vWZM2cOderUoVyqXtbnzp1jzpw5NGzYMFuSOXHiBC1btkwXj4yMpFq1ah4LAdWqVYt9+/a599dJ1SHDZDIRHh7OgQMH8kwBDuAKCyNx3ToCunRBe+iQO67bu5eAxx8naenSQt8rPMP2g/LLT4gCy6BVuDtYx93BGf86MjtUziY5rhXkqQr0awX7ZcudFehmp8rhOAeH4xyANd3+IL1y0yfoIQbff8oqhCBl3t2MGZhnzEi3Ky5VA5GE48dzManMeVWAv/TSS/Tu3Ztu3bpRvXp1ihUrRkxMDP/++y/BwcG88sord5yI3W7n7NmzbNmyhVmzZuFyuWjZsiX9+vXj8uXLlChRwuP4okWLEn1tOMfly5fTPTVPvT8vUcuWJWnNGvyfegrdX3+549rDhwls3Zqk5ctxVa7swwx9S/f77x7bMvxEiMLNT6dQNURP1ZCMJ2In2l2cuV6QJ6QMRTmd6ml6rO1OBrhAgl3l36sO/r3qyHB/qCHlCb/7CbpTS1hlVSaGCiFuyqsCvHjx4ixYsIBvv/2WvXv3cuTIEUJCQujWrRvPPvssxbJh6MTp06dxOp34+fnxwQcfcO7cOT7++GOSk5OxWq3o03TBMBgM2O0pLa8sFku6YTB6vR6bzcbN5EYf8MxeS/Pxx1QZMoTg3btvxM6cwfTIIxz57DPM1arlWm45zdu/Z21cHLX37vWIHalQAUcufp1yQm5+n+U1cu+FV27evw6oDFTWA0Wu/bkm0QHnLQoXrBrOWRQuWJWUbYuG81aFJOedFcqxNpXYK3b+drdgNPLNuTO8U9XG3f53VvznR4X5+74w3zvk3v0XlHaPXvcBL1q0KAMHDsyxRCpXrszPP/9MaGgoANWqVUNVVd555x06depEUlKSx/E2mw3Tte4hBoMhXbFtt9sJucVg+tz6ImbWH1NdtQr7Cy+gX73aHdNfuUL1l14iafFijyVV86us9AbVrViBknqJ1+rVufuBB3IqtVzh696oviT3XjjvHfLe/We2hJeqqsTaVE4l3Jgcmnp4y6kEJ+bbaOHyd4KW7vv8GFY7mNdqBOarPuZ3Iq993XNTYb53kPu/HV4X4LnhevF9XaVKlXA4HBQvXjzdO6srV664n7yXLFmSmJgYj/0xMTFUzutDOUwmkufPx2/QIAzffecOK/HxBHTuTPLXX+No1cqHCeYuaT8ohMhNiqJQxKhQxGigdvH0+1VV5bLF5dG55XTijfHopxMd2DIZgm5zwft74ll2IpnPmxShdvHsaVYghCgY8kwB/vvvvzNx4kR++ukn93CTI0eOEBQUREREBPPnz8dsNuPn5wfAvn37iIiIACAiIoK9qYYuWCwWjhw5Qp8+fXL/RrJKp8M8fTpqSAjGL75whxWzGf9nnsE8c6Z7Fm9BJ+O/hRB5iaIolPDTUsJPy/0l0hfQLlUlyuxyTwxdesLMujMWj2P+ueqg5apLvHpfIG/VCcZPVziehgshbi7PTN+uU6cOqqoyYcIETp06xZYtW5g2bRrdu3enXr16lC5dmrFjx3Ls2DHmz59PZGQknTp1AqB9+/b8888/fPXVVxw/fpz333+fUqVKUb9+fd/elLc0GiwTJmAZOdIjrNjt+L3wAvp583yTVy5STp5Ee/Kke1s1GHCkWmhJCCHyGo2iUMZfS6NSRrpW9mdhy6KMD7dS3OT5q9WpwtTIRJqsiGLLxfSdVoQQhU+eKcBDQ0OZNm0aFy9epGfPnnzwwQd06dKF3r17o9VqmTx5MlevXqVXr16sWbOGSZMmUbZsWQDKli3LxIkTWbt2Lb169SImJobJkyfniUV4vKYoWIcOxTxpkmdYVfEfPBjDtWbyBVXa4SfOBg0gVdtJIYTI6xRF4dESTnZ2LknXyn7p9h+Ld9Ju7WXe2BZLfGZjV4QQhUKeGYICEB4ezhephmGkVr58eWbOnJnpuY0bN/ZYmj6/svXrhxoait9LL6E4bywc4TdmDJqrV7GMGVMg+2Lr0w4/kfHfQoh8qphJy6ymRXnybguvb4vlXLLnIkBfHU5i/RkLnzQO5bHyJh9lKYTwpTt+RBwVFcWcOXOyIxdxjb1rV5K/+SZlWdRUjFOn4jd4MDgzXtEt33I60W7c6BGS8d9CiPzu0fImtncuyYv3pP8071yyk26/xtBv4xViLAXsZ7oQ4pbuuAC/ePEis//f3n1HRXW8DRz/7i4svWgQRFQsscYCeRWxAGLvoCbGlhijRo2xa5oxdo2xRo0aJJbYu8auISG2nxoj1liw14iigHS2vH8gqwuooLCgPJ9z9pzdmbt3Z+7dvffZuXNnFizIibKIp2iaNydu3Tr0dnZG6eolS7Dq0QNeMMb560R14gTKp2ap0jk6ovXwyLPyCCFETrFXK5la25FtzZ0oa6/KkL/mcgJeGyJYfzkevb7gjRsuREH1ygF45cqV2bRpUw4URaSnrVeP2C1b0KWb6Ei9aRPWnTpBurHRX1cZ+n/7+oIq44lKCCFeV3WLWrA/wIVBVW1RpetFGJmko8dfD+kU8oDbcdIaLkRB8MoBuLm5Oa6urjlRFpEJnYcHcTt2oHNzM0o3DwnBpl07eKrl+HWVYfhB6f8thHgDWZkpGF3DgZBWRahS2DxD/s4biXhvvMvi83HopDVciDdalm/CTEpKYvPmzRw7doxHjx7h6OiIh4cHrVu3NsxIKXKHrnx5YnfswKZtW1SXLhnSzQ4fxrZlS+I2bEDv4pKHJXwF8fGoDh82SpL+30KIN5mHk5o/Wxdh1qlYJh+PMZrMJyZFz6CDUay7HM+suoUoY5+vxkoQQuSQLLWAR0dH0717d6ZNm8bZs2dJSEjg1KlTTJ06lW7duvHo0aPcLmeBpy9ZkridO9FWrWqUrjpzBpvmzVFcu5ZHJXs1ZgcPoniqP7vO3R1d6dJ5WCIhhMh95koFQ6vbsT/AmVrOGSf52f9fMnU3RTD79CM0OmkNF+JNk6UAfO7cuURERDBv3jw2b97MwoUL+e2335g3bx4PHz5k/vz5uV1OAeiLFCF261Y0tWsbpasuX8a2WTOU587lUcleXvr+3ynS/UQIUYCUdzRnRwsnfqjlgE26WTITtHpG/h1Dk233OPMgJY9KKITIDVkKwP/66y969+7Nu+++a5T+7rvv0qtXL/5KN4ScyEUODsStX09K48ZGyco7d7Bp3hzVsWN5VLCXI/2/hRAFnVKh4NPKthwMdKZBMYsM+cfup+D3WwQTw2JI0kpruBBvgiwF4ImJibiluwkwjZubG9HR0TlaKPEC1tbEL19Ocvv2RsnKhw+xadMG1d69eVSw7FFERKA6c8bwWq9QoPXxycMSCSFE3nG3M2N9k7eYW88RR7Vxa7hGDz8cf4TfbxH8HfHmDEMrREGVpQC8VKlS7H1GUPfXX39RvHjxHC2UyAK1moSgIJI++cQoWREbi83772O2bVseFSzrMgw/6OGBvnDhvCmMEELkAwqFgs7lbDjc1oWAUhkHODgXpaHJtnt8fTiKuBSZzl6I11WWAvAuXbqwceNGJkyYwN9//83ly5f5+++/GT9+PJs3b6ZDhw65XU6RGZWKxGnTSBw61ChZkZSE9UcfYb5yZR4VLGvSB+DS/UQIIVK5WKtY4v8Wv/oXxsXK+FStB+b9G0edTRGE3k7MmwIKIV5JlsY3aty4MdevX2fx4sVs2bIFAL1ej1qtpkePHrRt2zZXCymeQ6EgaeRI9I6OWI0c+SRZq8W6b18SoqJI7ts3Dwv4DHp9xgBchh8UQggjbUpZ4etqwYi/o1keHm+Udy1WS+CuSLqWs2Z8TQccLV55ag8hhIlkeYDRHj160KFDB06dOkVMTAwODg6888472Nvb52b5RBYl9++P3sEBq0GDUOieXJa0+vprFFFRJH31FSgUz1mDaSkvXEB5+7bhtd7KCm2tWnlYIiGEyJ8cLZT8VK8Q75W2YuDBKK7HGs+WuSw8nt9vJjK1tiOt3K3yqJRCiOzI1gj/dnZ21KlTJ7fKIl5RykcfoXdwwLpnTxQpT4asspw8GcXDhyR+/z0o80cLSYbRT+rUAYuMd/8LIYRI5e9mycFAZ8Yfi+Hnf+N4ejyU/xJ0dP3jAYGlrPjB2wFnK1WelVMI8WLPDMD7ZqPbgkKhYO7cuTlSIPFqNAEBxNvZYd21K4r4J5crLYKCUERHk/DTT2CW9zOrSfcTIYTIPltzJd/XcqRdaSv674/ifLTGKH/T1QRCbycyqZYjHctaochHVz6FEE88szlUo9G88HH+/HmOHTtGWFiYKcssXkDToAFxmzahd3AwSlevXo31hx9CYh7ftJOSgtmBA0ZJEoALIUTWeTlbsDfAmeHV7Ug3fw9RyXr67nvIe3siuR6ryXwFQog89cym0AULFjzzTXFxccycOZOTJ09SsmRJvvvuu1wpnHh5Wi8vYrdtw6ZdO5QREYZ08x07sHn/feJWrAA7uzwpm+roURSPHhle64oUQffOO3lSFiGEeF1ZqBSMeNeegFJWfL7/IccjjWfLDLmVRJ2NEYyqYU+PijYopTVciHwj2x2Cjx49SufOndm6dSsffPABy5Yto2rVqrlRNvGKdFWqELdzJ7qSJY3Szfbtw6ZNGxSRkXlSrky7n+STvulCCPG6qVLYnN9bFWFsDXss03X9jtXoGX4omhbb7xMeLdPZC5FfZDnqSUxMZMqUKfTv3x+VSsXcuXMZMmQIFnLjXL6mK1OG2J070VasaJRuFhaGTYsWKG7dMnmZpP+3EELkLDOlggFV7TgQ4ELdouoM+Ycikqm3OYLpJx+RopPp7IXIa1kKwI8fP06XLl1Yv3497dq1Y8WKFXh6euZ22UQO0RcrRtz27Wj+7/+M0lXnz2PbrBnKS5dMV5joaFRHjxolSQAuhBA5o6yDGVuaOTGjtiN25sZdTpK0MPafGBpsucfx+zKdvRB56bkBeHJyMjNnzqRPnz5oNBrmzJnD8OHDsbTMOD2uyN/0hQsTt2kTGl9fo3TljRvYNG+O8tQpk5TDbP9+FNonY9hqy5dH7+Zmks8WQoiCQKlQ0L2iDYfautC0eMar1KcepNBw6z3GHI0mQSOt4ULkhWcG4GfOnKFr166sWrWKgIAAVq1aRY0aNUxZNpHT7OyIW7OGlJYtjZKVERHYtmyJ6tChXC+CdD8RQgjTcLNRsarRWwT7FeKtdLNkavUw41QsPpsjOPhfUh6VUIiC65mjoPTs2RO9Xo+trS1Xrlxh4MCBz1yJQqHg559/zpUCihxmaUn8kiVYDRiAesUKQ7IiJgabtm2JX7oUTaNGufbxGQJwf/9c+ywhhCjoFAoF75Wxpn4xC74+HM3aywlG+RdjNLTYcZ+eFW0YVcMeO3O5IV4IU3jmL6169ep4enpSrlw5VCrVcx9KGcHi9WJmRsKcOSSlm2xJkZCAdadOmG/YkCsfq7h5E1V4uOG1XqVCU7durnyWEEKIJ5wsVSzwK8zKhoUpZp3xnB18Lo7aGyPYczOP54kQooB4Zgv4/PnzTVkOYWpKJYkTJ6IvXBjLCRMMyYqUFKx69ICYGFI+/jhHPzL99PPamjXB3j5HP0MIIcSzNS9pRZ2iFow+Gs2i8/FGeTfjtLy/J5IPyloxycuBwunHNBRC5Bhpui7IFAqShg8n4YcfjJP1eqwHDUI9c2aOfpzZX38ZvZb+30IIYXoOaiUz6hRiSzMnSttlDLJXX0rAa2MEG6/Eo9fLTZpC5AYJwAXJn35KfFAQepXxgdhq9GgsR42CnDgA63TS/1sIIfIRH1cLDgQ6M6CKLcp0k2TeT9TRPfQhXf54wJ14beYrEEK8NAnABQApHToQv2wZ+nRDTFr8+CNWgwaB9tUOwMrTp1Hev294rbezQ/vuu6+0TiGEEK/G2kzJ2JoOhLQqQuVCGXulbr+eSK2Nd/n1Qpy0hguRgyQAFwaa5s2JW7cOvZ2dUbp6yZLUfuHJLz9xQ4bW73r1wNz8pdcnhBAi53g6qQlt7cw3nnakHwglJlnPgANRBOyK5OojTd4UUIg3jATgwoi2Xj1it2xB99ZbRunqTZuw7tQJ4uJear3S/UQIIfI3tUrBFx727AtwpmaRjA0ke+8kUXtjBD+diUUr09kL8UokABcZ6Dw8iNuxA126GSrNQ0KwadcOoqKyt8LERMwOHjRKkgBcCCHyp4qO5uxsUYRJXg5Ymxl3Dk/Q6hlxJJom2+7x78OUPCqhEK8/CcBFpnTlyxO7YwfasmWN0s0OH8a2ZUsUd+9meV2qw4dRJD4ZW1bn5obu7bdzrKxCCCFylkqpoO87thwMdKZ+sYzT2f9zPwW/3yL4PiyGZK20hguRXRKAi2fSlyxJ3M6daKtWNUpXnTmDTfPmKK5dy9J60o//ralfHxSKzBcWQgiRb5SyM2Njk7eYU88RB7XxcTtFB98ff0T93yL4597L3yMkREGUbwPw8ePH06dPH8PrO3fu0L9/f3x9fenQoQMH03VpOHr0KJ07d8bHx4c+ffpw48YNUxf5jaQvUoTYrVvR1K5tlK66fBnbZs1Qnjv3wnVI/28hhHh9KRQKupaz4XBbF1qVtMyQ/2+Uhsbb7jH1kjnrL8fzx61Ewu4nc/WRhuhknYyeIkQmnjkTZl46cuQIv/32G+8+HqZOr9czbNgwSpcuzeLFi9m3bx9ffvklq1atws3Njbt37zJs2DA++eQT6tWrxy+//MKwYcNYuXIlSmW+/Y/x+nBwIG79eqy7dcN8zx5DsvLOHWyaNyd+/fpnDimoiopCdeKEUZrGzy9XiyuEECLnFbVWsbRBYX67lsiw/0VxL1FnyNPpYfUdc1bfeZjhfSoFOKqVFLJQUshCQSELJY4WSgoZ0tI91EoKWyqxN1egSj9AuRBviHwXgCckJDBp0iSqV69uSDt69CjXr18nKCgIGxsbypQpYwjS+/bty6ZNmyhXrhwfffQRACNHjqR58+YcPXoULy+vvKrKm8Xamvjly7Hq2xf1+vWGZOXDh9i0aUPcihVofX0zvM3+779RPNX6oa1SBX2RIiYpshBCiJylUCgIKGWFr6sF3xyJZuXF+Be+R6uHyCQdkUm6Fy5r9FmAg1qRaYDuaJSmMATzhS2VOKqVmEngLvK5fBeAz5s3j3fffRcnJydOPG45PX36NOXLl8fGxsawXPXq1Tl+/Lgh39PT05BnaWlJhQoVOHXqlATgOUmtJiEoCL2DAxYLFxqSFbGx2Lz/PvELF6Jp2dLoLfaHDxu9lu4nQgjx+itkoWSeTyHeK2PFwANR3IzL+dky9UBUsp6oZC1XHmVv/fbmCuMg/akWeMcMaUoKP26Vt1BJ4C5MI18F4CdPniQkJISVK1eyfPlyQ/r9+/cpkq7VtHDhwkRERBjynZycnpkvcpBKReK0aegLFcJy2jRDsiIpCeuPPiJhzhxSOnVKTdTrsT9yxOjtEoALIcSbo6GbJf9r68zqi/HsvxKJztKWh0k6HibriUrS8TBJR5zG9H3AY1L0xKRouR6bvcDdxuzpLjKZtL5bKJ/qTpMauBeykK6uIvvyTQCenJzMhAkTGDx4MPb29kZ5iYmJmKebNVGtVpOSkmLIV6vVRvnm5uYkv2DmxvDw8BwoedaY8rNMomNHXFJSKDFrliFJodVi3bcv18PDiejUCYsbN6h6544hX2duzvkiRdC9adviBd64fZ8NUveCqyDXvyDW3c8M/MoBPMiQl6yDGA3EaBTEpCiI1iievNYoiE558jxGA9GPl4nTmr41Ok6jJ06jzXaLvlphhd3hm9iZ6R8/wM5Mj60q9bm9mR7btHTVk/zUZcDsDYjhTfW9L1eunEk+J7flmwA8ODiYEiVK0KhRowx5FhYWxKWbgTE5ORlLy9S7sdVqdYZgOyUlBQcHh+d+pql2Ynh4+BvzhTEydizxb7+N1aBBKHRP+vaVnD4dZ3Nz9M7ORovratembLohDd90b+y+zwKpe8GsOxTs+kvdc67uKTo90cmpreipD/2T54/To5Kezk9Nj0rSY+o292S9gsgUiEx5uT8NtmYKHNRKHNQKHCyUT56rU587WqR7/dRze7UCZR4P7ZsvvvdJSVh98QXmmzaht7AgqV8/kgcOzHRR5alTWA0Zgur0aXTly5MwY8YzB5PILfkmAN+1axeRkZH4PR4hIyUlBZ1Oh5+fHx9//HGGf1YPHjzgrcfTpTs7OxMZGWmUHxkZSdl0k8iInJfy0UfoHRyw7tkTRcqTWdEsJ09Gn+4PkHQ/EUIIkVXmSgVOliqcLFXZep9OrycmOWOw/iDxyfMnwbveKC2v5hSK1eiJ1Wi59eJ7WjNQAPZPBeQOagWOauXjQF7xOGA3DuodnwrybcwUKN6AuTksR45EdeQIsZs3o7x1C+s+fdAXL05K+/bGC8bFYfP++6S0bUvCnDmoFy3CukMHHoWFgZ2dycqbbwLw+fPno9FoDK9XrlzJ2bNnGTt2LP/99x+LFy8mISEBKysrAI4fP06VKlUAqFKlCmFhYYb3JiYmcuHCBT755BPTVqKA0gQEEG9vj3WXLijinxw9FNHRRsulSAAuhBAilykVChwf32xZOhvv0+v1PEp5ErhHJT+75f3p1vcHSTqSszfAS47SA9HJeqKTtUD2b4Y1U5Ch9d0xQwt8JgH+44elWT4I3uPiUP/6K3GrVqHz8EDn4UHSgAGoFyzIEICbb9gAZmYkTpgASiWJkyZhtns35hs3kvJ4ND1TyDcBuKurq9FrOzs7LCwsKFGiBMWKFaNo0aKMGTOGXr16sX//fk6fPs23334LQOvWrVm2bBkLFy6kfv36LFy4EBcXF2rWrJkXVSmQNP7+xG3ahM3772cIvAF0hQqhK2DdT4QQQrw+FAoF9moF9mol7tloCNXr9Zw6f5EiJcsQlaQjOln3OCDWGb2OSn52Xl5OVaQxDBMJZHO0GYAmxS2YUCrHi5UtqtOnISkJrbe3IU3j7Y3FlCmg0YDZk3DX7OhRNN7ekDZPjEKBtlYtzI4cKZgB+POoVCqmTp3K+PHj6datG25ubvzwww8UK1YMgGLFijF58mRmzJjBokWLqFKlClOnTpVJeExM6+VF7Pbt2LRrh/LuXaM8jZ8fqLJ3GVEIIYTI7xQKBVYqcLVW4Wqd/fOcTq8nNiUtQE8NzqMft8AbXhsC9sfBe7KOmMfPH6Xk7UyjNvngDlLFf/+hL1QILJ/M1Kp3dkaRnIzi/n30RYsaLatL119d7+yM8tQpk5UXQBEVFVVg54gtiHeqm4LFzZuU79cPi9u3DWmXx47lQfPmeVgqIYQQQrzuMrvZ03zVKizHjOHR2bOGNMXVq9h7eBBz4gR6d3dDuk2bNmhq1iRp5EhDmsWECZgdPEjctm25W/invBYt4LlFRkHJJeXKkRQSgnLoUJShoWjbtuWtzz/nrQJ4RaLA7funSN0LZt2hYNdf6i51f90kaZ+0skc/Hr/9WV1l0lrfn1728yq2dHGIyNP66y0tISnJKE2R9traOsOyivTLJiejT7dcbivQAbjIPXpXV+JXrCD8/HnKVaiQ18URQgghRCYsVAqcrVQ4W2W/+4xer0erhyuX8nbiQ72rK4qoKEhOhsfzwiju3kVvYZHaNSX9sukmalTcvYvexcVUxQWg4DVJCtMqgK3eQgghREGgUCgwU+b9KCjaqlVBrUZ1+LAhzezQIbQeHkY3YAJoatTA7PBh0D/uga3XozpyBI2JB+6Q6EgIIYQQQry+rK1J7tQJq2HDUP3zD2bbt2MxZw7JvXsDqS3cJCQAkBIQAHFxWH7xBcpz57D85hsUjx6R0q6dSYssAbgQQgghhHitJU6YgNbTE5s2bbAaMoTE4cMNQbV9hQqp438D2NsTv2YNZocPY+vnh+rwYeLWrjXpJDwgfcCFEEIIIcTrztqahPnzSZg/P0NWdFSU0Wvtu+8Su3eviQqWOWkBF0IIIYQQwoQkABdCCCGEEMKEJAAXQgghhBDChCQAF0IIIYQQwoQkABdCCCGEEMKEFFFRUfq8LoQQQgghhBAFhbSACyGEEEIIYUISgAshhBBCCGFCEoALIYQQQghhQhKACyGEEEIIYUISgL+CXbt24eXlxfLly43S+/Tpw7x58575Pi8vL44cOZLbxctRDx48YPLkybRq1QofHx/ee+89FixYQGJiYl4XLcd4eXkZPRo3bsy4ceOIi4vL9c/+559/8PLyQqPRZJofFBREr169cr0ckLfbIb970W/7dVWQ9nl+/p3nNwEBARm2V9ojNDSUgIAANm3a9Mz3puXFx8ezdevWTPNy2suel3PDmDFj+O6774D8u+83bdpEQEAAt2/fxsvLixs3buR1kQoMs7wuwOts9+7dlChRgm3bttGlS5csv2/79u04ODjkYslyVkREBL169aJYsWKMGTMGV1dXLl68yLx58zhw4ADz58/H0tIyr4uZIyZOnIiHhwc6nY67d+8yadIkZs6cyYgRI/K0XF27duWDDz4w2efl1+0gck9B2ucFqa6vauDAgTRt2jRDur29PTNmzHjm+xYvXoyVlRUAy5cv58iRI7Rq1SpDXk572fNyQefi4sL27dspVKhQXhelwJAW8JcUExPDoUOH6NWrFxcvXuT8+fNZfq+TkxPm5ua5WLqcNWXKFJydnZk9ezb/93//R7FixfD19SUoKIh79+7xyy+/5HURc4y9vT1OTk44OztTtWpVOnbsyO+//57XxcLa2tqkf9ry63YQuacg7fOCVNdXZWNjg5OTU4aHWq1+7vsKFSpkaJjR6/XPzMtJr3JeLuhUKhVOTk6oVKq8LkqBIQH4S/rjjz9Qq9U0atSIkiVLGl1eA7h//z59+/alXr16fPLJJ1y/ft2Q93QXlPv37/PVV1/RsGFD6tatS9euXTl27JhJ6/I8Dx48YN++fXTr1g0zM+MLJnZ2dnTs2JHffvsNrVbLzz//TMuWLQ11PnnyJJD5pbenL80FBQUxYsQIpkyZgr+/P23atGHx4sUmq+PzpG8NiIuLY/z48TRt2pQ6derw3nvv8ccffxjy03cv2rp1q6HVB+D8+fP07t0bHx8fAgMD+e2334zWv2nTJlq1aoWvry+jRo0iKSkJMG0XlMyk3w46nY6lS5fStm1bfHx86N27NxcuXDDke3l5MX/+fJo0aUK/fv3YunUrvXr1Ijg4mCZNmtC8eXOmT5+OTqczvGfr1q188MEH+Pj48NFHH/HPP/+YrH7ZlVafRYsW0bBhQ5o1a8bOnTvZs2cPrVu3pmHDhsydO9ewfFJSEnPmzDHs2yFDhnDnzp08rMGLpd/ner2eX375hZYtW+Lv78+AAQMyHNe2bdtG586d8fPzo2/fvty8eRN48TEAIDQ01LD/P/zwQ/73v//lcg2fyM7vfMmSJRmuRq1fv57OnTsDEBsby+jRo/H396dZs2ZMnDjxmd1b1q1bR2BgIPXq1aNz587s27fPkHfy5El69eqFj48Pvr6+DBgwgIiIiJysdo46e/Ys9evXZ82aNcCTbiZbt24lODiYEydO4OXlZZSX0150Xk5z584dWrRowY8//siKFSvo2rWrIS80NBQvLy9D8K7VamnYsCEnTpxAo9Ewa9YsWrVqRe3atWnTpg3r1q3LVhnXrVtHkyZNaNy4MQsXLjTK27dvHx9++CE+Pj506NDB6E9hnz59WLJkCZ9//jk+Pj50796dmzdvMmHCBPz8/Gjfvj3Hjx/PVlmelr4LSlRUFF988QV+fn4EBgayfv16w/6DZ38/o6Ki8Pb2NpwP9Ho9jRo1Ytq0aYb3TpkyhQkTJhjVuV69evj7+/PNN98QGxv70vV4nUgA/pJ27dpF7dq1MTMzw9fXl127dhmdXLZt24a/vz/Lli3Dzc2N/v37Z9r3a9SoUWg0GoKDg1m6dCkuLi5MnjzZlFV5rnPnzqHT6XjnnXcyzffw8ODhw4esWLGCtWvXMnbsWFavXk3FihX5+uuvjQKs5/nzzz9RqVQsXryYtm3bMnfuXC5fvpyTVcm2qKgoVq9eTbNmzQxpM2bM4OrVq8yePZtVq1bh6enJxIkTSU5OztL6+vXrR6lSpVi2bBl9+/Zl8uTJRgfNkJAQZs6cydSpUwkNDWXz5s25UbVsyWw7BAcHs3z5cgYPHsyvv/5KsWLFGDhwoFGgsXfvXhYsWMCQIUMAOHPmDFeuXCEoKIi+ffuyZs0aDh06BKQGtD/88AMfffQRy5Yto1atWgwaNIj//vvPtJXNhn///Zfr16+zePFiGjVqxKRJk1i7di0zZszgs88+Y/HixVy8eBGA77//nj///JPRo0ezcOFCtFotQ4cORavV5nEtMpfZPl+zZg3bt29n9OjRLFq0iBIlStCvXz+j+0CCg4MZNGgQ8+bNIzIy0uhPyPNcuHCB0aNH061bN1auXElgYCBffPGF0Z+63JLd33mTJk24evUqly5dMiz/+++/06RJEwDGjRtHdHQ0QUFBzJgxg2vXrjF27NgMn3v+/HmmT5/O4MGDWbt2LY0aNeKbb77h0aNHxMXFMWTIELy8vFi1ahWzZ8/m1q1bLFq0KNe3x8u4desWgwcPpmvXrnTo0MEor1GjRnTp0oV33nmH7du352o5XnRehtT9PXDgQGrXrs3AgQPx9vYmPDyc6OhoAI4dO4ZCoeDEiRNA6h8LgCpVqrBkyRL27t3LpEmTWLduHa1atWLatGncu3cvW2WcPXs2I0eOZPny5YY/In///TdffvklLVq0YNmyZQQGBjJy5EjOnDljeO+iRYsICAhgyZIlxMTE0K1bN5ydnVm8eDElS5Zk+vTpr7L5jHz77bc8ePCABQsWMHz4cIKDgw15z/t+Ojo6UrFiRUMDSnh4OI8ePTJsz7S61qlTh1u3bvHVV1/Rrl071qxZw6RJkzh69CgbNmzIsXrkZxKAv4R79+4RFhaGn58fAP7+/kRFRXHgwAHDMn5+fnTo0IFSpUrx1VdfER0dnWmLjo+PD8OHD6d06dKUKVOG9957jytXrmS4ZJdXYmJigNTW7szY29sDqa0EZmZmFC1aFDc3N/r168eoUaOyHIDb2dkxcOBA3N3d6d69O/b29oYDnykNHToUPz8/fH19adKkCefOnTM6oXh4ePDVV19Rvnx5SpYsSdeuXYmJicnSAXjPnj1YW1vzxRdf4O7uTtOmTRk4cKDRNho+fDhvv/224Uan8PDwXKnnizxvO+j1etasWUPPnj3x9fWldOnSjBgxAjMzM6MTbGBgIO7u7pQtWxZI/Y58/fXXlCpVijZt2lCuXDn+/fdfAFavXs37779Py5YtcXd3p1+/fpQrV87QmpYf6XQ6hg0bRokSJQgMDCQhIYFPP/2Ut99+m/bt22Nra8vVq1eJiYlhx44dDB06lBo1avD2228zduxYbt68adJW3hd50Xd/6dKlfP7559SsWZNSpUoxbNgwVCqV0RWgjh074uXlReXKlWnfvr1h/77I8uXLad26NS1atKB48eK0b9+exo0bs3r16hyvJ7za79zV1ZVq1aoREhICQGRkJMePH6dx48bcvHmT0NBQRo8eTbly5ahUqRKjR4/mzz//5O7du0ZluH37NgqFAldXV1xdXfn444+ZMmUK5ubmJCQk8PHHH9OzZ0/c3NyoXr06DRo0yJNGialTp+Ln52f0ePqqXlRUFAMGDKBJkyb07Nkzw/stLS2xsrLCzMwMJyenXCtnVs7LSUlJDB06lDJlyvDNN98AUKZMGZydnQkLCwMgLCyMOnXqGK7gHj58GC8vL1QqFWXLlmXEiBFUrVoVNzc3Pv74Y7RaLdeuXctyOUeMGEGFChXw9fWlY8eOhmBz7dq11K9fn06dOuHu7k7nzp1p0KABS5cuNby3du3aNG7cmDJlyuDj44ONjQ29evWidOnStGnThqtXr77SNkxz7do1jhw5wsiRIylfvjx169Y1ugL7ou+nt7e3IQBP257h4eEkJCRw9+5dbty4Qc2aNdFqtQwZMoS2bdtSrFgxvL298fLyyvPGN1ORmzBfwu7du1EqldStWxdI/WdcpEgRtm3bZvjxV65c2bC8jY0NJUuW5OrVq/j4+Bitq3379uzevZuTJ09y7do1zp07BzwJaPNaWoAdGRmJi4tLhvy0wLNmzZrs3r2bdu3aUblyZXx8fGjTpk2W6+Dq6mrU98zGxiZP7hb/6quvqFatGgCPHj1i586d9OjRg0WLFuHu7k6LFi3466+/2LRpE9euXTP8ScjKH40rV65Qvnx5o3qmnfTTDlbFixc35Nna2mapZT03PG872NraEhMTQ5UqVQzLm5mZUalSJaMTgKurq9E6HR0dsbW1Nbx+eh9fvXqVTz75xGj5qlWrcuXKlZyuWo5xcHDAxsYGAAsLC8C4zmq1mpSUFK5fv57hKpKDgwPu7u5cvXqVevXqmbbgz/C8fV6kSBEiIiL47rvvUCqftNskJycbdUN5+vubnd/wlStXuHTpklGXLI1GY3QczUmv+jtv2rQpa9as4dNPPyUkJIRKlSrh5ubGvn370Ov1tGnTJsNnXrt2zei3X7t2bapXr07Xrl0pW7YsPj4+BAQEYGlpiaWlJa1atWLFihVcuHCBK1euEB4ebvSbM5WePXvSsGFDo7SnvwPBwcGkpKRQtGhRUxfNSFbOy+vWrSMlJYUOHToY7YtatWpx7NgxatSowbVr1/jss8+YOHEigNHNo/Xr1+fw4cPMnDnT6Hyd1YYmtVrN22+/bXhdsWJFli1bBqQeAwMCAoyWr1atGhs3bjS8dnNzMzy3sLAw2uaWlpakpKRkqRwvcvHiRWxsbHB3dzekVa1a1fDcycnpud9Pb29v1q1bh06n49ixYzRq1IhLly5x6tQp7t69S7Vq1bC1tcXW1ha1Ws3ChQu5fPmy4ZF2NelNl/cR3mto9+7daDQaGjdubEjT6XTs37+fqKgoABQKhdF7dDpdhhsvdTodn3/+OTExMTRu3BgfHx9SUlL48ssvc70OWVW5cmVUKhVnz57NNAD/999/cXR0pEKFCvz666/8/fffHDhwgI0bN7Ju3TqWLFmSYVsAGS69Z3ZTal5cBShSpAglSpQwvK5cuTIHDx5k8+bNDBgwgNGjR3PixAlatGhBu3btcHJyokePHs9c39MBSFb+jDx9YoO82Qbw/O2QPlBOo9PpjPZrWlCa5nn7OP2yaevL6oktL2S2PzP7rj/rZjWtVpuvuqA8b593794dgAkTJlC6dGmj9z19dexZN5e/6Big1Wrp0qULrVu3NlrmRTf6vaxX/Z2n9Wm9dOkSISEhhlFCtFotVlZWhqDqaU5OTkZXBCwtLfnpp584fvw4+/fv548//mDt2rUEBQXh4OBAt27dqFChAt7e3gQGBnLgwAGjy/im4ujoaLSt0vPy8qJevXrMnj2bxo0bU6RIEROW7omsnJfLli1L9+7d+frrr2ndujXly5cHUgPGRYsWERYWRqVKlfD09CQyMpLLly9z+vRpxo8fD8C8efPYuHEjrVu3pnnz5nzxxRcZgubnySwuSDuOZPZd12q1RsfA9DdIpj9fZEVkZCSxsbFGwXX69WZ2I+bT56KIiIjnfj+rVKmCTqcjPDycsLAwBgwYgIeHBydPnuTq1avUrl0bSO16ltaP3MPDg86dO7Ny5cps1+l1JV1Qsun69eucPXuWwYMHs2zZMsNj+vTpaDQadu3aBWDUP/DRo0dcv36dUqVKGa3rypUrhIWFMXv2bD755BPq1atHZGSkKavzQo6OjjRs2JDg4OAMrVmxsbGsWLGC1q1bc+jQITZu3Ejt2rUZNmwYa9euJT4+nuPHjxsOME/3D75165ZJ6/Eq9Ho9Go2G2NhYdu3axbhx4+jduzf+/v6GLjppBydzc3Ojet6+fdvwvGTJkoSHhxsdUMeNG8fPP/9sopq8mrTtYGtri5OTE6dPnzbkaTQazp07Z3RQzw53d3ej9QGcPn36pdeXn5QoUQKVSmXUlzMqKoobN27k+/ql7XM7OzsKFy7M/fv3KVGiBCVKlKBYsWLMnTs3S/20X3QMcHd35/bt24Z1lyhRgh07dhAaGprjdXqW7PzOHR0d8fLyYseOHZw+fdrQQuzu7k5CQgI6nc5QD4CZM2dmuBHz5MmTLFy4EE9PT/r378+aNWsoXLgwBw8eJDQ0FBsbG2bOnEnHjh3x9PTk1q1b+aZr4tN8fX0JDAykZMmS/Pjjj5kuk9kfsJyU1fOyt7c39evXx8fHh8mTJxu2Z1q3h7/++gsPDw8sLS2pWLEiCxcupFSpUoY/FRs2bGDo0KH079+fJk2akJCQAGS9oSQpKclwYzKk3heTFheUKlXK6BgBcOrUKUqWLPlK2ya9ZcuWGd0QGRsbi6Ojo9EypUuXJi4uzujqVlprP/DC76eZmRk1atRg/fr1qNVq3Nzc8PDwICwsjCNHjlCnTh0AduzYQbVq1Rg/fjzvvfcelStX5saNG/nye54bJADPpt27d2NnZ0e7du0oW7as4VG3bl2qVavGtm3bgNT+vhs3buTy5cuMGzeO4sWLG91BDKldDJRKJXv27OHOnTuEhIQQFBQEkGddDzIzaNAgEhIS6N+/P8eOHeO///7j4MGD9O7dGxcXF3r16oVer2fWrFmEhIRw+/Ztdu3aRVJSEuXLl6dMmTJYWFiwYMECbt26xfLly01yc9XLiImJ4f79+9y/f59bt24xf/58bt68SaNGjQx9GUNDQ7l9+zaHDh1iypQpAIZLf5UrV2bFihVcv36dffv2Gd2F36xZM+Lj4w03Zu3atctw01B+87ztANClSxeCg4PZu3cvV69eZeLEiSQmJr70pcMuXbqwbt06tm3bxrVr1/jpp5+4cOFCtlqX8isrKyvatWvHtGnTOHr0KBcvXmT06NE4Ozvnq33/on3eqVMnfv75Z0JDQ7lx4wY//PADR44cydAinpkXHQM6depESEgIK1as4MaNG6xfv55FixYZXXI3VV2z8juH1G4oq1evxsPDw9C3uXTp0tSuXZtRo0Zx+vRpw82lDx48yND/2dLSkuDgYDZs2MDt27fZu3cvERERVKpUCQcHB+7du8fhw4e5desWS5Ys4c8//8yT80JcXJxhWz39ePoPhVKpZOjQoezZsyfTSeasra0N2zo3ZPW8nGbgwIFcuHCBLVu2AKldLStVqsSOHTvw8PAAwNPTkz179hj9Rh0cHNi/fz+3bt3ixIkTjB49Gsj6+VqpVDJmzBjOnz9PSEgIa9asMYxV3rlzZ/78809WrlzJ9evXWblyJaGhobz//vuvuHWMeXp6EhYWxuHDhzlz5gwbNmzIEJu4u7vj7e3NhAkTuHDhAkeOHDHEJkCWvp/e3t5s27bNaHsePXoUlUpFuXLlDOtJu8pw/fp1Zs6cyb///ptjXWnyO+mCkk27d++madOmmV4yb9++PaNGjcLBwYGOHTuyZcsWpk2bRtWqVZkyZUqGy0UuLi58+eWX/PLLL8ybNw93d3eGDh1q+IF6enqaqlrP5eTkxC+//MKiRYsYM2YMDx48wMXFhaZNm/Lhhx9iaWmJj48Pffr0YdasWdy/f5/ixYszfvx4QwvfiBEjmDt3Lps3b6Z+/fp88MEH+XJIrbQbcyC1W0S5cuX4/vvvDf1Fx4wZw48//sjatWspVqwY3bt3Z8GCBZw/f56yZcsybNgwJkyYQKdOnahYsSK9e/dmwYIFQOofrhkzZjB9+nQ2btyIi4sL3377LdWqVct3Q+69aDt06tSJuLg4Jk2aRGxsLFWrVuXnn3/mrbfeeqnPa9CgAffv3ycoKIjIyEjKly/P7NmzDTdwvu769+8PpPY91mg01KxZk7lz52Z6HMkrL9rnXbt2JTExkSlTphATE0OFChWYNWtWlroc2NraPvcYULVqVcaOHUtwcDA//fQTrq6ujBw5Mtf6x7/q7xxS+wNPnDgxw5/OMWPGMG3aNPr3749CocDLy4thw4ZlKEP58uUZNWoUCxcuZPr06Tg5OTFw4EC8vLzQarWEhYUZylm5cmUGDx7MvHnzSExMNOnEZz/++GOmLdvpJ7mpVq0azZo1Y+rUqRlmofT392fDhg107NgxV0Z2yup5uXr16kBqX+ouXbowZ84c/Pz8cHBwwNvbm7Nnzxq+A56enixdutQoAB85ciSTJ0+mY8eOODk5ERgYiJmZGRcuXMhwf1dm7Ozs8PX15bPPPsPc3JxevXrRoEEDIHUfjxs3jqCgIObMmYO7uzsTJ06kVq1aObGJDHx9fenSpQujR48mMTERf39/Pv74Yx48eGC03HfffceECRPo0aOHoc932g2hjRo1euH309vbm5SUFEMAXrp0aRwdHfH29jZcEfnggw84f/48/fv3x9zcHE9PT3r27MnOnTtztM75lSIqKqpgtPULIYQQOeTOnTt06NCB7du3P3OUKCFeR4mJiYauImndx37//Xdmz56dL4bGfVNIC7gQQgiRRQkJCRw8eJAtW7bg7+8vwbd446jVasaNG0e7du1o06YNkZGRBAcHZxgNR7waaQEXQgghsigxMZGWLVtStGhRZsyYgbOzc14XSYgcd/z4cWbNmkV4eDg2NjY0b96cvn375trIRAWRBOBCCCGEEEKYkIyCIoQQQgghhAlJAC6EEEIIIYQJSQAuhBBCCCGECUkALoQQQgghhAlJAC6EEEIIIYQJSQAuhBBCCCGECf0/NAUcL4Iif+wAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 2-axis plotting to establish relationship between overal CCVI index and Lab confirmed cases \n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['No. of Cases (Lab Confirmed)'])\n", - "ax1.set_ylabel('No. of Cases (Lab Confirmed)')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'r-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='r')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('r')\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "bffcdf76", - "metadata": {}, - "source": [ - "Benue, Borno, Bayelsa, Ekiti, Akwa-Ibom and Jigawa all indicated inverse relationship between the No. of Cases (Lab Confirmed) and Overall CCVI Index i.e as Number of Cases (Lab Confirmed) decreased, Overall CCVI Index tended to increase across these states with Jigawa having the highest overall ccvi index but with lowest lab confirmed cases. For Abia, Osun, Imo, overall ccvi index were lower at higher confirmed lab csaes. Bauchi state showed that high number of confirmed cases was at par with its high overall ccvi index i.e the impact of covid crisis can be directly linked to number of confirmed cases. Inverse relationships for other states further suggests that impact of covid crisis is unconnected to number confirmed lab cases alone." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6a1cf186", - "metadata": {}, - "outputs": [], - "source": [ - "#Further Analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "id": "729ce8f8", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 2-axis plotting to establish relationship between overal CCVI index and Socio-Economic index\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Socio-Economic'])\n", - "ax1.set_ylabel('Socio-Economic')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'g-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='g')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('g')" - ] - }, - { - "cell_type": "markdown", - "id": "749e0d26", - "metadata": {}, - "source": [ - "For the top 10 states, here we see some direct correlation between Socio-Economic indices and overall CCVI index in most states. Generally Overall CCVI index are higher than Socio-Economic indices as Osun and Bauchi and Jigawa. Osun state had the lowest and equal Socio-Economic indices and Overall CCV index. Jigawa had the highest and equal Socio-Economic index and Overall CCVI index. It can be infered that the impact of the covid crisis is generally higher and can be traced to Socio-Economic indices such as poverty, unemployment, e.t.c " - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "id": "03328e1e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#2-axis plotting to establish relationship between overal CCVI index and Acute IHR Index.\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Acute IHR'])\n", - "ax1.set_ylabel('Acute IHR')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'y-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='y')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('y')" - ] - }, - { - "cell_type": "markdown", - "id": "ceca7d9a", - "metadata": {}, - "source": [ - "Inverse correlation between Overall CCVI index and Acute IHR were observed in all top 10 states. Abia, Osun, Imo and Ekiti states had lower Overall CCVI index with relatively higher Acute IHR. Abia had the highest Acute IHR index and Jigawa the lowest. Borno and Jigawa had the highest Overall CCVI index. Bauchi, Borno, Benue and Jigawa Sates have the higher Overall CCVI index with correspondingly lower Acute IHR index. Borno and Jigawa had the highest Overall CCVI index. Thses observation suggests that the impact of covid crisis cannot be traced to Acute IHR alone. " - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "id": "e2b86b77", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#2-axis plotting to establish relationship between overal CCVI index and Fragility index.\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Fragility'])\n", - "ax1.set_ylabel('Fragility')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'b-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='b')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('b')\n" - ] - }, - { - "cell_type": "markdown", - "id": "1a6aaf93", - "metadata": {}, - "source": [ - "Inverse correlation is observed between Fragility index and Overall CCVI index in almost all the top 10 states being considered here. While Osun, Benue and Ekiti all had lower Overall CCVI index with a correspondingly higher Fragility index, Abia, Bauchi, Imo, Bayelsa, Akwa Ibom and Jigawa states all had higher Overall CCVI index with correspondingly lower Fragility index. Only Borno showed equal Fragility and Overall CCVI indices. It is therefore inferable that Fragility alone can be responsible for the recorded impact of the covid crisis in Borno. This is however not applicable to other members of the top 10 states where Fragility alone may not be responsible for the recorded impact of covid crisis." - ] - }, - { - "cell_type": "markdown", - "id": "8d262114", - "metadata": {}, - "source": [ - "TODO I - Determine the relationship between the external dataset and the NCDC COVID-19 dataset.\n", - "\n", - ">Here you will generate a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", - ">Provide a summary of your observation" - ] - }, - { - "cell_type": "markdown", - "id": "1b05f7bd", - "metadata": {}, - "source": [ - "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset.\n", - "\n", - "#Generating a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", - "\n", - "#Also will Provide a summary of observation" - ] - }, - { - "cell_type": "code", - "execution_count": 355, - "id": "79236f5a", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Regression plot between Confirmed cases population density of top 10 states.\n", - "# regplot\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=Top10_NCDC_external).set_title('Confirmed Cases and Population Density')" - ] - }, - { - "cell_type": "markdown", - "id": "eaf3d582", - "metadata": {}, - "source": [ - "For the top ten (10) highest confirmed cases, it is generally observed that there is higher uniformity in distribution of confirmed cases across most population densities in states in Nigeria. However, a few outliers (exception to this case) exists: There are five occurences which are above the common distribution value across states and there are five occurences which are below the common distribution value in states of various population densities. " - ] - }, - { - "cell_type": "code", - "execution_count": 430, - "id": "6faecbce", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Regression Plot for Lab confirmed cases vs population density for all states\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=NCDC_external).set_title('Confirmed Cases and Population Density')" - ] - }, - { - "cell_type": "markdown", - "id": "2e596b41", - "metadata": {}, - "source": [ - "The general trend indicates that higher record of Lab confirmed cases is associated with higher population densities across all states. There are also many outlier cases that does not align with this trend i.e does not show that higher or lower confirmed cases connected with higher or lower pouplation densities." - ] - }, - { - "cell_type": "code", - "execution_count": 131, - "id": "96eb987a", - "metadata": {}, - "outputs": [], - "source": [ - "# Further analysis on other indicators: Recovery rate\n", - "JH_Daily_Recovery_Nigeriadf['Recovery Rate'] = JH_Daily_Recovery_Nigeriadf['Recovered Cases'].diff()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 132, - "id": "a243f893", - "metadata": {}, - "outputs": [], - "source": [ - "# Further analysis on other indicators: Death rate\n", - "JH_Daily_DeathsNigeriadf['Death Rate'] = JH_Daily_DeathsNigeriadf['Death Cases'].diff()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 139, - "id": "cb091148", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Recovery Rate in Nigeria')" - ] - }, - "execution_count": 139, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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if/kjioocro1WLOX8D/2SPWWv+XKfrUwAevCEQ7cuOazdxxwKsUhTro3Siv1F2pZfogfahGtIm4gKR42ey4ze8kZ7epsC7zQMbcy2Ky7cosbVtE5oZgXrfR4qdKpVPd8e0+409PWBIrWqZ1WLOrXjn2bDMJR/chRaVEjVBLu2EkObcorVrI5VjcJ///7syLfr8702NY2w6pK6Fh064dTsjAKPqcGrDxWr/9FQpQYVqk2UVVPTjmvVwaJTQvL8KqmxKu04em5h/Yr9RWo256C6NArRnuMl2n2sbN9rFG7Wg5dFymySO/yUpKV7bbrovQPq3SxUPZqEKqfIqQk/Hq3wuTr9N1Ovd47SwPhwmUwmbcwu1tu/FGj3sRINbh2huy4Nd5/79tYC99T9rEKnXthwVG93idYXews18SfX6M4De2z6y/qjevXaKPd1Gw4X6/hpf6j5cp+tVgSghmFo7Np8vbW1QPWCTfrwpvq6Ju7sRsVWltMwtOWI976xPb9m/9ADAAAQaEx5eXnMsamEwsJC9ejRQ5MmTVJSUpIk6V//+pfWrFmjmTNn1nB1LhkZGYqPj6/pMuDnzqYfHbc7VVhiqH6oWYcLnTpRYqjQYajo5IjD+qFmNYmwyCTpmN2Q2SQFmU3aX+DQwRMO1Q81q2Udq0JOTp80DEM2h1RY4tSBE04dtzsVajEpxGJSmNX13215dh0udCom1KzYMIusZikq2Ky8Yqd7c5qle2369LdCxYSaNbh1hK6JC1ZGfom+2l+krXl22RyG6gSZ1SbKqusbhigq2KydR0t03O7UUbuhHJtDP+eW6Jc8u4qdhuoFm1XkcIWhF4WY9Ws5IcSdl4TpxotDtPuYQzk2h+oFm9Us0qpsm0Pb8kp08IRDIRaTro0L1jVxIfr1WIl+yi7Wr8ccsjkMxYVZlFg/SCa5NikxmaSYUIu+PlCk/RWMOJSk6xsGy2o2aeUB72v4JTcM1raT01XvujRM4Vaz1h8u1r/KGfUmSbc2C1X9ELMaR1h0pMipt7aWf96pYkPN+kNssGJCzbrioiClH7FrbWaxdh21q0mkVbc2C1XnhiG6PMqqMKtZG7OLVegwlFXoVLbNoQZhFsWe7DPtY4L167ESXf1xVrnP9VVKrEKtJkVYTTpmN3Tc7pTDkEZ/n6df8koUbJb+8od6Gnp5hAodht7aUqCpaccUG2rWmHZ1lFg/WJFBJsWGmrV0r00f7nSNEuzbMkwdY4LVrI5FwWaTrCbp5yN27cgv0R8aBMtpSM+syy+zjqIk/aNzlP6vZZjMJum3Yw7tOFqiesFmBZmlvCKnvjpQpK1H7OoUE6wbLg5RYYmh/QUO/Xa8RNN//v3+3n1pmF64qp5iQs2yOaRQi2sznv0FDn32W6E+22PTz0fsuio2WH9KrKN6wSY1ibQo3GpWfrFTW47YZTWZ1CDMrMxCh/YXOBQdYlaRwxW0Ngq3KDrUrD3HHWocblHdYNc9TM+1a/exEplN0vrDxVqfZXf3vR5NQtTvknC1qmtVsdP1Ho8MMqvA7lT6kRIdK3bqohCzQiwm5Rc7VSfI9bq35tm1+6hD+wpc74sDJzyHYkaHmOU4JWhFzYsKNqlppFVpp40UHRgfrisuCtIH2ws8Ro2X+kfnKI1Zk6ei035cpd8Zp2CLSfVDzBr5XZ5mZZQdMbvqtli1jQ7yaekNW4mhQ4UOxYW5AvUlewpVUGKoT/MwXVROcJ+RkSFrXEt98luhmkdaldI8VFazSSv229RvWY77vOaRFv3QN+6spvdX1q6jJer4UeYZz7umQbBeTKqnKy8KUojl9z/GOU+uN1yZpQMK7E4t/LVQJU6py8UhXv/AknnCoY92F6pesEl3tAhTqMVU7h/OKlLkMNz/tp868reqGYYhu1Oymit3D6obv3+jKtGfcK7oQ6hKgdafCEArafPmzRo6dKhWrVqlkBDXiIAff/xRTzzxhL7++mtZrTU/Yud8dc6JPx3V12cIW+A/Ch2GMk84FBlkltkk2e3FCg8JVm6RU+FWk44UuXY1dsV/LiaZFGqV8opOPVq+EItU4pQqmoVtNkl1g0yyOVzhJwApyOwaOeswXO+PcKtJh8pZe/RUdYNMOnoWU61xZjc1DtGX+yv+9y7MYtLgNuGKDbXoy/025Rc7lXBRkJbtsynvlFA30uoKpEMsJm3PLyn35+F1ccHac9xR7rIPF4KLQkyqH2JRsdNQVqFDwWbXH71K/wAWZJKccr0vXB+GHIZ0qNChIofr35LTR5s3CDMrOsSsEqdr+RCzSQo3lWj3Cc9wrkUdi3JtznLfP00iLAo2S6FWk6wnw7ZTM7fST0uPmc543KSjdqd+KSdEPpMgs1Q/xHxy53iTWta1yO6ULCbX6z9mN2QYUp2TPzOckn7OtXssAXFpXYuigs3uf7tNkkoM1/IIp/+BQpJa1bV6XdvYkGsTJ1uJoQMnHDpRYijILLWsY5XV7Pqjp8Xk+j2gxGnIZJJCLCY5DNf3JCrYrNDSP4LK9X11GqWfy/25wzBU4vw9ZC12SvWCTWpTL0h1gk0qqMGffYW2QoWFhtXY8yOw0J9wruhD8Oalq+up/VnMvAm0ALTmUzs/kZ2drbp167rDT0mKjo6W3W5XXl6eYmJiarC682tHfonWsDtp4HGHK2bpxJn+x8xQBbOAyzh9NNDpnIY8ggIAnrtCH7UblQo2CT8r9v8SItUhJlhj1+bpUKFT7eoHadPJDZHMJum166J0eVSQei457A7RXryqroYn1NFP2cVa/FuhJm3+fe3KFnUseq5jXd3cJNS9PufodnXc7YcLHVr0a6EsJpPaRFl1dYNg90i6nfklmpVRoGk/H/f4Pj/RNlKNwi26b0Wu1xC0fohZ3RuH6HiJoVUHispMKa+MSKtJc2+qr0MnHBq26shZX18djhQZOlL0+789NochnUWfLm+pjazC32cG/K7syMTyRvWXqk2BtN0p9x9CShxnnkZfnp1HHZIq/5p8WcbB7jybKfy+39/8YkPrDteG30ct0tHaUAcCA/0J54o+hIpd6LOuCEAryWazKTjYMykv/bq4uOwPmIyMjPNSV00877FjwaLrADWjcahTl0c6tTrXoiJnzU/9A6pTg2CnutZ36H85FmUVlw2u+ja069HmdkVapJ+OmrX1uFnNwwxZTYY+P2xVTrFJ/9ewRD2iTkgl0qKOrqDManaNrv0x36z6QYYuNZ2Q8qWJbSz6NNOqK+o41D34kDIyDilS0t11pas7mvSvvUEKtxga1uyEYhzHlPmbVNFE5i6l/0wek3Yd82y7r550z7XSlN1BWnvEou4xDl1SuE8mmzS/vVTokLYcN2vBQavqWKRrL3IoJtg1sq51hFPBZlcYe+xi6e87g/X54d//Te7doEQtw506aDOprlVanGXR4VPu3aDGdv1fwxI1Ol6gRpKWXS2tzLFozv4g/VbIJl4AAACBav/+fcooOMPuoKepqWzLF2carUqKVUnBwcFlgs7Sr0NDQ8ucXxPDhM/X8OQ6+3Ol7MJqfx74B4vJFSTUCzYpKtjsXqvTaUj7CxzKLXL9gA2zmOQ4uW5Xo3CzGoZblFXoLDO6JsQihVpMig4xKybUtW6hzWHoRImhoyfXGWwTZVVBiaEcm1MlTtfu28EWk+LrWeU4+fO8eR2L6gWb9fMRu/YXOBRhNemauGD1bBqq2FCLDpxwaMU+mzbl2hVsNqlZpEUNwiwKOznd8rjdqY6xweocF+xeh9FhuEYUxYWbVT/ErHVZxdpz3PUa03PtOnTCoZgwi668yKrMQqd+PVaiRuEWXR4VpCaRFu0vcOh/B2zakV+ixhEWdYoNVsJFQYoMMmtdlms35KgQs6wm16ijghJDV8UG6774cLWsY5Xp5BqqkmvTmEW/2mQ1u9YlbVnHKodh6JtDxboiyqqeTUN16IRT67OL9euxEh0rdt3DbJtrim39ELPaxQTrD7FBalHHqlZ1rdqeX6Kle23KLXIqzGpSscM1nTIm1Kz6oa7vWdNIi97eWiCLWerZJExXNQjSliOu1/lLnl05Nqf2Fzi0/nCxdh8r0XVxIeoelq10NVD6EbuOFBn6Jc+uE3ZD0aFm9/2+OML1/Tpa7NSmHNf3zGySGp5c1++yi6z6Q2ywcmxOHTjh0I78kpNryzoVYjGpfqhZx4oN2RyGwk6uDbo1r0SFJYas5t9HVJpNrtcTHWJWjs2pwzan4sJc92/n0RIZkkLMJu0/4SgzpdZskiKsJhWUuO7LpXWtOnDCtYar03D1EbPJpJKT68bGhpl1zG4oyCQFW0w6bjdkMUmXRVl1zG4o3GpSw3CLsm2u90GXRiGKDjHrzS3HlW1zFWw1uaanSq6pqlfFBqtXs1D9kFWs5ftsCjKbFBViUmahU07D9X5sWceqYIt0tNhQiEWqF+x6rVEn31O/HCnRkWKnokPMOnHywUvXQ+0YEyyHIWXk29WijlWj29XRiv02rTxQJNvJNUuDLSZFBrnug90pXRFlVWyYRem5dtmdhlrXs7qntzaJtKhTTLCaRrrWVD1eYqhukEkf7SqU1Sz1bhamJpEWWUxSnSCzPt9rk9kkXRsXrH3HHboyOkhBZpOMk9Nid+3cIWdsC/1wuFhXXhTksXnO5af9bLq/Ej+/Ljvt6/h46eEKzo2X1KNdJR70LPyzdcVtHSUNqMRjzL3M0MytBVr4a6GuiwvRU+3reKxbmVrs1Ee7XGsipzQPLXfNxCRJTxqGdh9z6EiRaz3nppEWtahj1dK9Ns3dUaCdR10/N66OC5bVJB22OWUY0uqDRe5p3sftrusaR1i0La9EW4/Y5Tg5hflUkVaTLrvIqqhgs3KLnErLtXuMhj1boRb57RIqbaODNKRNhJ5ck+d+r5e+75tEWJRf7Dy57u65PU+QWTKM33+eAACAC0/jxk0Uf3HlN3kMtCnwrAFaSZs3b9awYcO0evVqBQW5dkdev369Ro4cqZUrV15Qa4Buz7Mrp+gc/k8FtYr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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Further analysis on other indicators: lineplot of Recovery rate \n", - "plt.figure(figsize = (20,10))\n", - "sns.lineplot(x = 'Date', y = 'Recovery Rate', data = JH_Daily_Recovery_Nigeriadf).set_title('Daily Recovery Rate in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "544b3271", - "metadata": {}, - "source": [ - "The highest recorded rate of recovery of 11188.0 was made on 2020-08-04 while the lowest was -165208.0 on 2021-08-05." - ] - }, - { - "cell_type": "code", - "execution_count": 140, - "id": "d727aa53", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "11188.0" - ] - }, - "execution_count": 140, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Highest recovery rate\n", - "Highest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].max()\n", - "Highest_recovery_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 141, - "id": "dc8e69c8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateRecovered CasesRecovery Rate
1952020-08-043185111188.0
\n", - "
" - ], - "text/plain": [ - " Date Recovered Cases Recovery Rate\n", - "195 2020-08-04 31851 11188.0" - ] - }, - "execution_count": 141, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == 11188.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 142, - "id": "e315403a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-165208.0" - ] - }, - "execution_count": 142, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Lowest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].min()\n", - "Lowest_recovery_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 143, - "id": "f911ea90", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateRecovered CasesRecovery Rate
5612021-08-050-165208.0
\n", - "
" - ], - "text/plain": [ - " Date Recovered Cases Recovery Rate\n", - "561 2021-08-05 0 -165208.0" - ] - }, - "execution_count": 143, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "\n", - "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == -165208.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 144, - "id": "a02231ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Death Rate in Nigeria')" - ] - }, - "execution_count": 144, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Further analysis on other indicators: Seaborn's lineplot Death rate\n", - "plt.figure(figsize = (15,5))\n", - "sns.lineplot(x = 'Date', y = 'Death Rate', data = JH_Daily_DeathsNigeriadf).set_title('Daily Death Rate in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "73b25263", - "metadata": {}, - "source": [ - "There was a spike in the death rate in Nigeria on 2021-08-29 with a record high of 93.0. The reason may be because that relaxed perventive measures with apparent ease of local restrictions. The lowest death rate of -4.0 was recorded on 2022-06-10 perhaps due to the success at global control the corona virus, especially in year 2022." - ] - }, - { - "cell_type": "code", - "execution_count": 145, - "id": "c4596cbc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "93.0" - ] - }, - "execution_count": 145, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Highest_death_rate = JH_Daily_DeathsNigeriadf['Death Rate'].max()\n", - "Highest_death_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 146, - "id": "34e9077c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateDeath CasesDeath Rate
5852021-08-29245493.0
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" - ], - "text/plain": [ - " Date Death Cases Death Rate\n", - "585 2021-08-29 2454 93.0" - ] - }, - "execution_count": 146, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] == 93.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 147, - "id": "421c5844", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-4.0" - ] - }, - "execution_count": 147, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Lowest_death_rate=JH_Daily_DeathsNigeriadf['Death Rate'].min()\n", - "Lowest_death_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 148, - "id": "e79bfc0f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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DateDeath CasesDeath Rate
8702022-06-103144-4.0
\n", - "
" - ], - "text/plain": [ - " Date Death Cases Death Rate\n", - "870 2022-06-10 3144 -4.0" - ] - }, - "execution_count": 148, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] ==-4.0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "55dfb36f", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 150, - "id": "0d3d5777", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Regression\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=NCDC_external[\"Age\"], y=NCDC_external[\"No. of Cases (Lab Confirmed)\"], data=NCDC_external).set_title('Age and infection Pattern in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "143c42d6", - "metadata": {}, - "source": [ - "The above plot displays the association between number of confirmed cases and age of populations. Though it can be infered from the regression trend that susceptibility to the covid infections are generally associated with elderly group in populations, many outliers indicates that many other age categories also were captured in high and low number of recorded lab confirmed cases." - ] - }, - { - "cell_type": "code", - "execution_count": 151, - "id": "75ed56aa", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Age\", y=\"No. of Deaths\", data=NCDC_external).set_title('Age and Mortality in States in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "5baf5607", - "metadata": {}, - "source": [ - "Apparently, the number of deaths tends to be more in the younger population because they are more in the overall population compared to the elderly group. The trendline of the regression does however indicate that the number of deaths recorded among the elderly group is still significant because they are less in population compared to the younger populace. " - ] - }, - { - "cell_type": "code", - "execution_count": 152, - "id": "6110820e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Bar plot for Mortality and Health Systems\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.barplot(x=\"Health System\", y=\"No. of Deaths\", data=NCDC_external).set_title('Mortality and Health System')" - ] - }, - { - "cell_type": "markdown", - "id": "bc686c82", - "metadata": {}, - "source": [ - "From the bar plots above, it is not clear whether health systems in states in Nigeria had any significant influence on the number of deaths recorded during the covid crisis." - ] - }, - { - "cell_type": "code", - "execution_count": 153, - "id": "a0805c69", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Bar plot for Discharged cases and Health Systems\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.barplot(x=\"Health System\", y=\"No. Discharged\", data=NCDC_external).set_title('Discharged Cases and Health System')" - ] - }, - { - "cell_type": "markdown", - "id": "70262c2a", - "metadata": {}, - "source": [ - "Health systems of a country may influence the overall health impact of coroner virus. Higher system indices show that health crisis mangagemnt are more effective and therefore there are chances that there will be higher number of discharged cases.\n", - "So far from the barplot, it is inconclusive to say that the health system of Nigeria influenced the number of covid discharged cases in Nigeria. This is further highlighted by the large error bars which indicates higher measure of dispersion from any possible trend." - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "id": "76e60106", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Health System in States')" - ] - }, - "execution_count": 154, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Plotting Health System in States\n", - "plt.figure(figsize = (8,12))\n", - "sns.barplot(x = NCDC_external['Health System'], y = NCDC_external['states'], data = NCDC_external, color = 'green').set_title('Health System in States')" - ] - }, - { - "cell_type": "markdown", - "id": "849a37e6", - "metadata": {}, - "source": [ - "TODO L -\n", - "Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", - "Steps\n", - "\n", - ">From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", - ">Hint: Use Pandas.melt to create your plot DataFrame\n", - ">Set your quarter legend to lower left.\n", - ">Using axhline, draw a horizontal line through the graph at the value of Q2 2020.\n", - ">Write out your observation\n" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "id": "81e7c755", - "metadata": {}, - "outputs": [], - "source": [ - "#Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", - "#From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", - "#Hint: Use Pandas.melt to create your plot DataFrame\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 156, - "id": "71e84fea", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YearQ1Q2Q3Q4
0201415438679.5016084622.3117479127.5818150356.45
1201516050601.3816463341.9117976234.5918533752.07
2201615943714.5416218542.4117555441.6918213537.29
3201715797965.8316334719.2717760228.1718598067.07
4201816096654.1916580508.0718081342.1019041437.59
5201916434552.6516931434.8918494114.1719530000.00
6202016740000.0015890000.0017820000.000.00
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" - ], - "text/plain": [ - " Year Q1 Q2 Q3 Q4\n", - "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", - "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", - "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", - "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", - "4 2018 16096654.19 16580508.07 18081342.10 19041437.59\n", - "5 2019 16434552.65 16931434.89 18494114.17 19530000.00\n", - "6 2020 16740000.00 15890000.00 17820000.00 0.00" - ] - }, - "execution_count": 156, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Declaring the dtat set to be used\n", - "RealGDP" - ] - }, - { - "cell_type": "code", - "execution_count": 157, - "id": "dd8ef945", - "metadata": {}, - "outputs": [], - "source": [ - "#Restructuring the RealGDP dataframe for easy readability and accessibility\n", - "Q_RealGDP= pd.melt(RealGDP, id_vars=['Year'], var_name='Quarter', value_name='Amount in Billion(N)')" - ] - }, - { - "cell_type": "code", - "execution_count": 158, - "id": "994c4a99", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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YearQuarterAmount in Billion(N)
02014Q115438679.50
12015Q116050601.38
22016Q115943714.54
32017Q115797965.83
42018Q116096654.19
52019Q116434552.65
62020Q116740000.00
72014Q216084622.31
82015Q216463341.91
92016Q216218542.41
102017Q216334719.27
112018Q216580508.07
122019Q216931434.89
132020Q215890000.00
142014Q317479127.58
152015Q317976234.59
162016Q317555441.69
172017Q317760228.17
182018Q318081342.10
192019Q318494114.17
202020Q317820000.00
212014Q418150356.45
222015Q418533752.07
232016Q418213537.29
242017Q418598067.07
252018Q419041437.59
262019Q419530000.00
272020Q40.00
\n", - "
" - ], - "text/plain": [ - " Year Quarter Amount in Billion(N)\n", - "0 2014 Q1 15438679.50\n", - "1 2015 Q1 16050601.38\n", - "2 2016 Q1 15943714.54\n", - "3 2017 Q1 15797965.83\n", - "4 2018 Q1 16096654.19\n", - "5 2019 Q1 16434552.65\n", - "6 2020 Q1 16740000.00\n", - "7 2014 Q2 16084622.31\n", - "8 2015 Q2 16463341.91\n", - "9 2016 Q2 16218542.41\n", - "10 2017 Q2 16334719.27\n", - "11 2018 Q2 16580508.07\n", - "12 2019 Q2 16931434.89\n", - "13 2020 Q2 15890000.00\n", - "14 2014 Q3 17479127.58\n", - "15 2015 Q3 17976234.59\n", - "16 2016 Q3 17555441.69\n", - "17 2017 Q3 17760228.17\n", - "18 2018 Q3 18081342.10\n", - "19 2019 Q3 18494114.17\n", - "20 2020 Q3 17820000.00\n", - "21 2014 Q4 18150356.45\n", - "22 2015 Q4 18533752.07\n", - "23 2016 Q4 18213537.29\n", - "24 2017 Q4 18598067.07\n", - "25 2018 Q4 19041437.59\n", - "26 2019 Q4 19530000.00\n", - "27 2020 Q4 0.00" - ] - }, - "execution_count": 158, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Q_RealGDP" - ] - }, - { - "cell_type": "code", - "execution_count": 159, - "id": "8c2fcdb6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 159, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# generating a seaborn's barplot using the GDP values for each year & quarters\n", - "plt.figure(figsize = (10,5))\n", - "sns.barplot(x = 'Year', y = 'Amount in Billion(N)',hue = 'Quarter', data =Q_RealGDP).set_title('Annual-Quaterly GDP')\n", - "plt.legend(loc = 'lower left')\n", - "plt.axhline(y =15890000.00, label ='Hline', color ='black')" - ] - }, - { - "cell_type": "markdown", - "id": "6fe3ce42", - "metadata": {}, - "source": [ - "The second quarter of 2020 (onset of impact of pandemic in Nigeria) was used to apply an axhline threashold and bench mark for comparison of dataset parameters. \n", - "\n", - "\n", - "There is no record for the fourth quarter's GDP in 2020 \n", - "\n", - "\n", - "Economic activities during the fourth quarter was virtually grounded hence there is no record of GDP for fourth quater of 2020. This also means that 2020 has the lowest combined GDP in the years under review. \n", - "\n", - "\n", - "The impact of covid 19 was huge on Nigeria's economy around the second quarter, in 2020, because that was when the highest cases of daily infection were recorded. \n", - "\n", - "\n", - "The negative effects of covid on the population and the control measures enforced by the government affected productivity, all compared to other years included in the review. " - ] - }, - { - "cell_type": "markdown", - "id": "885497a6", - "metadata": {}, - "source": [ - "Note: Do not limit your analysis to the provided TODOs. Perform more analyses e.g\n", - ">Check for more external dataset\n", - ">Ask more questions & find the right answers by exploring the data" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From ea2f31585433f6dc54493751ecb839f78ed1c366 Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Thu, 25 Aug 2022 04:41:51 -0700 Subject: [PATCH 07/19] Add files via upload Ochai_Data Analysis COVID 19_Project Submission --- ...-COVID-19-Data-Analysis-Using-Python.ipynb | 6329 +++++++++++++++++ 1 file changed, 6329 insertions(+) create mode 100644 Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb diff --git a/Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb b/Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb new file mode 100644 index 00000000..3a49ac08 --- /dev/null +++ b/Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb @@ -0,0 +1,6329 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cf1b9a47", + "metadata": {}, + "source": [ + "# Task 1 - Data Collection\n", + "Here you will obtain the required data for the analysis. As described in the project instructions, you will perform a web scrap to obtain data from the NCDC website, import data from the JoHn Hopkins repository, and import the provided external data.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "844c4c23", + "metadata": {}, + "source": [ + "# A - NCDC Website scrap\n", + "Website - https://covid19.ncdc.gov.ng/" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "eb9c700f", + "metadata": {}, + "outputs": [], + "source": [ + "# Importing all libraries\n", + "import os\n", + "os.chdir('C:\\\\Users\\\\OCHAI ODEH\\\\Downloads\\\\Nigeriadata')\n", + "import requests\n", + "import numpy as np\n", + "import urllib.request\n", + "import pandas as pd\n", + "import csv\n", + "from bs4 import BeautifulSoup\n", + "import seaborn as sns\n", + "sns.set_style(\"darkgrid\")\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "plt.style.use('fivethirtyeight') \n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2fb9112c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# checking response of server to get url request\n", + "\n", + "url = 'https://covid19.ncdc.gov.ng'\n", + "status_code = requests.get(url)\n", + "status_code" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "416ceaad", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 102877 129 \n", + "1 FCT 29075 146 \n", + "2 Rivers 17680 262 \n", + "3 Kaduna 11467 11 \n", + "4 Oyo 10327 6 \n", + "5 Plateau 10292 18 \n", + "6 Edo 7821 102 \n", + "7 Ogun 5810 11 \n", + "8 Delta 5631 349 \n", + "9 Ondo 5173 315 \n", + "10 Kano 5169 41 \n", + "11 Akwa Ibom 4973 22 \n", + "12 Kwara 4680 441 \n", + "13 Osun 3311 36 \n", + "14 Gombe 3310 6 \n", + "15 Enugu 2952 13 \n", + "16 Anambra 2825 46 \n", + "17 Nasarawa 2777 393 \n", + "18 Imo 2655 7 \n", + "19 Ekiti 2447 46 \n", + "20 Katsina 2418 0 \n", + "21 Abia 2226 11 \n", + "22 Benue 2129 340 \n", + "23 Ebonyi 2064 28 \n", + "24 Bauchi 1979 8 \n", + "25 Borno 1629 5 \n", + "26 Taraba 1473 62 \n", + "27 Bayelsa 1363 10 \n", + "28 Adamawa 1203 68 \n", + "29 Niger 1150 132 \n", + "30 Cross River 873 3 \n", + "31 Sokoto 822 0 \n", + "32 Jigawa 669 2 \n", + "33 Yobe 638 4 \n", + "34 Kebbi 480 10 \n", + "35 Zamfara 375 0 \n", + "36 Kogi 5 0 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 101977 771 \n", + "1 28680 249 \n", + "2 17264 154 \n", + "3 11367 89 \n", + "4 10119 202 \n", + "5 10199 75 \n", + "6 7398 321 \n", + "7 5717 82 \n", + "8 5170 112 \n", + "9 4749 109 \n", + "10 5001 127 \n", + "11 4907 44 \n", + "12 4175 64 \n", + "13 3183 92 \n", + "14 3238 66 \n", + "15 2910 29 \n", + "16 2760 19 \n", + "17 2345 39 \n", + "18 2590 58 \n", + "19 2373 28 \n", + "20 2381 37 \n", + "21 2181 34 \n", + "22 1764 25 \n", + "23 2004 32 \n", + "24 1947 24 \n", + "25 1580 44 \n", + "26 1377 34 \n", + "27 1325 28 \n", + "28 1103 32 \n", + "29 998 20 \n", + "30 845 25 \n", + "31 794 28 \n", + "32 649 18 \n", + "33 625 9 \n", + "34 454 16 \n", + "35 366 9 \n", + "36 3 2 \n" + ] + } + ], + "source": [ + "# Reading NCDC data from url to a DataFrame object.\n", + "url = 'https://covid19.ncdc.gov.ng'\n", + "html = requests.get(url).content\n", + "df_list = pd.read_html(html)\n", + "\n", + "#Saving the data from link to object nig_covid_cases\n", + "nig_covid_cases = df_list[-1]\n", + "print(nig_covid_cases)\n", + "nig_covid_cases.to_csv('ncdcdata.csv')\n" + ] + }, + { + "cell_type": "markdown", + "id": "fb9a9282", + "metadata": {}, + "source": [ + "# B - John Hopkins Data Repository\n", + "Here you will obtain data from the John Hopkins repository. Your task here involves saving the data from the GitHub repo link to DataFrame for further analysis. Find the links below.\n", + "\n", + "Global Daily Confirmed Cases - Click Here Global Daily Recovered Cases - Click Here Global Daily Death Cases - Click Here\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "980b61f4", + "metadata": {}, + "outputs": [], + "source": [ + "#Saving the data from John Hopkin's repository's link into a DataFrame object\n", + "\n", + "confirmed_global= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", + "covid19_recovered_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", + "covid19_deaths_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2e75c02c", + "metadata": {}, + "outputs": [], + "source": [ + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "184a6b6a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
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" + ], + "text/plain": [ + " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", + "0 NaN Afghanistan 33.93911 67.709953 0 0 \n", + "1 NaN Albania 41.15330 20.168300 0 0 \n", + "2 NaN Algeria 28.03390 1.659600 0 0 \n", + "3 NaN Andorra 42.50630 1.521800 0 0 \n", + "4 NaN Angola -11.20270 17.873900 0 0 \n", + "\n", + " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", + "0 0 0 0 0 ... 7758 7758 7759 \n", + "1 0 0 0 0 ... 3570 3571 3571 \n", + "2 0 0 0 0 ... 6878 6878 6878 \n", + "3 0 0 0 0 ... 154 154 154 \n", + "4 0 0 0 0 ... 1917 1917 1917 \n", + "\n", + " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", + "0 7759 7759 7759 7759 7759 7762 7767 \n", + "1 3573 3574 3574 3575 3576 3576 3576 \n", + "2 6878 6878 6878 6878 6878 6878 6878 \n", + "3 154 154 154 154 154 154 154 \n", + "4 1917 1917 1917 1917 1917 1917 1917 \n", + "\n", + "[5 rows x 948 columns]" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reading some of the data from John Hopkin's repository\n", + "JH_deaths_global.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39a878bc", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "219c82cd", + "metadata": {}, + "source": [ + "# External Data\n", + "\n", + "Save the external data to a DataFrame\n", + "External Data includes but not limited to: covid_external.csv, Budget data.csv, RealGDP.csv" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "dc07766f", + "metadata": {}, + "outputs": [], + "source": [ + "#Saving external data into dataaframe object\n", + "covid_external = pd.read_csv('covid_external.csv')\n", + "Budget_data = pd.read_csv('Budget data.csv')\n", + "RealGDP = pd.read_csv('RealGDP.csv')\n", + "covidnig = pd.read_csv('covidnig.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "706c1245", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26,7082,43524,037236
1FCT9,6272,8406,69493
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" + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 26,708 2,435 \n", + "1 FCT 9,627 2,840 \n", + "2 Kaduna 4,504 579 \n", + "3 Plateau 4,262 280 \n", + "4 Oyo 3,788 368 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 24,037 236 \n", + "1 6,694 93 \n", + "2 3,877 48 \n", + "3 3,948 34 \n", + "4 3,374 46 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reading some of the dataframes\n", + "covidnig.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "8a8ccd9e", + "metadata": {}, + "outputs": [], + "source": [ + "# Combining all 'external' dataframe objects provided using the merge() function on identical column\n", + "merged_t1 = pd.merge(covid_external, Budget_data, on= 'states', how ='outer', sort= True)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "2b982227", + "metadata": {}, + "outputs": [], + "source": [ + "#Renaming of a column is necessary if web scrapped data from NCDC's link is to be merged with 'external' dataframe on isentical column 'states'.\n", + "covidnig_rn = covidnig.rename(columns={'States Affected':'states'})" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "38c0df7a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", + " 2 No. of Cases (on admission) 37 non-null object\n", + " 3 No. Discharged 37 non-null object\n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(1), object(4)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "#Checking if Renaming was successful and type of data in imported data from NCDC's link.\n", + "covidnig_rn.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "f8304c9b", + "metadata": {}, + "outputs": [], + "source": [ + "# values of data are object\n", + "# All data values has to be converted to appropriate type (numeric). We use pd.to_numeric and apply the conversion.\n", + "covidnig_rndf = covidnig_rn[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", + "covidnig_rn[covidnig_rndf] = covidnig_rn[covidnig_rndf].apply(pd.to_numeric,errors='coerce')" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "edc5e80b", + "metadata": {}, + "outputs": [], + "source": [ + "covidnig_rn.replace(',','', regex=True, inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "f3fa815d", + "metadata": {}, + "outputs": [], + "source": [ + "#Final merger of external dataframe and NCDC's data also using the pd.merge() function\n", + "merged_t2 = pd.merge(merged_t1,covidnig_rn, on= 'states', how ='outer', sort=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "cfef53ba", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df = merged_t2.append(RealGDP, ignore_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "e6d82b00", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised_budget (Bn)No. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsYearQ1Q2Q3Q4
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic ... Revised_budget (Bn) No. of Cases (Lab Confirmed) \\\n", + "0 0.2 ... 102.70 980.0 \n", + "1 0.7 ... 139.31 355.0 \n", + "2 0.5 ... NaN 395.0 \n", + "3 NaN ... 366.00 NaN \n", + "4 0.0 ... 112.80 299.0 \n", + "\n", + " No. of Cases (on admission) No. Discharged No. of Deaths Year Q1 Q2 \\\n", + "0 25.0 945.0 10.0 NaN NaN NaN \n", + "1 96.0 238.0 21.0 NaN NaN NaN \n", + "2 44.0 342.0 9.0 NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN NaN \n", + "4 6.0 274.0 19.0 NaN NaN NaN \n", + "\n", + " Q3 Q4 \n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Viewing the data\n", + "#Obtain basic information about the merged data using the head() and info() method.\n", + "combined_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "570617ef", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 48 entries, 0 to 47\n", + "Data columns (total 23 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 41 non-null object \n", + " 1 region 37 non-null object \n", + " 2 Population 37 non-null float64\n", + " 3 Overall CCVI Index 37 non-null float64\n", + " 4 Age 37 non-null float64\n", + " 5 Epidemiological 37 non-null float64\n", + " 6 Fragility 37 non-null float64\n", + " 7 Health System 37 non-null float64\n", + " 8 Population Density 37 non-null float64\n", + " 9 Socio-Economic 37 non-null float64\n", + " 10 Transport Availability 37 non-null float64\n", + " 11 Acute IHR 37 non-null float64\n", + " 12 Initial_budget (Bn) 37 non-null float64\n", + " 13 Revised_budget (Bn) 37 non-null float64\n", + " 14 No. of Cases (Lab Confirmed) 21 non-null float64\n", + " 15 No. of Cases (on admission) 35 non-null float64\n", + " 16 No. Discharged 22 non-null float64\n", + " 17 No. of Deaths 37 non-null float64\n", + " 18 Year 7 non-null float64\n", + " 19 Q1 7 non-null float64\n", + " 20 Q2 7 non-null float64\n", + " 21 Q3 7 non-null float64\n", + " 22 Q4 7 non-null float64\n", + "dtypes: float64(21), object(2)\n", + "memory usage: 8.8+ KB\n" + ] + } + ], + "source": [ + "combined_df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "7333933a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "states 37\n", + "Initial_budget (Bn) 37\n", + "Revised_budget (Bn) 37\n", + "dtype: int64" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Budget_data.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "cbb55a48", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "states 37\n", + "region 6\n", + "Population 37\n", + "Overall CCVI Index 11\n", + "Age 11\n", + "Epidemiological 11\n", + "Fragility 11\n", + "Health System 11\n", + "Population Density 11\n", + "Socio-Economic 11\n", + " Transport Availability 11\n", + "Acute IHR 22\n", + "dtype: int64" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "53f0b8ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "States Affected 37\n", + "No. of Cases (Lab Confirmed) 37\n", + "No. of Cases (on admission) 33\n", + "No. Discharged 37\n", + "No. of Deaths 30\n", + "dtype: int64" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "6f484eb5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Year 7\n", + "Q1 7\n", + "Q2 7\n", + "Q3 7\n", + "Q4 7\n", + "dtype: int64" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RealGDP.nunique()" + ] + }, + { + "cell_type": "markdown", + "id": "4c1d3330", + "metadata": {}, + "source": [ + "# Task 2 - View the data\n", + "Obtain basic information about the data using the head() and info() method." + ] + }, + { + "cell_type": "markdown", + "id": "489b28aa", + "metadata": {}, + "source": [ + "# Viewing the separate external data and NCDC's data: Obtaining basic information about the data using the head() and info() method." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "540f2dee", + "metadata": {}, + "outputs": [], + "source": [ + "covid_external = pd.read_csv('covid_external.csv')\n", + "Budget_data = pd.read_csv('Budget data.csv')\n", + "RealGDP = pd.read_csv('RealGDP.csv')\n", + "covidnig = pd.read_csv('covidnig.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "4cba08be", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
0FCTNorth Central48650000.30.00.90.40.60.90.60.20.79
1PlateauNorth Central47660000.40.50.40.80.30.30.50.30.93
2KwaraNorth Central35240000.30.40.30.20.40.20.60.70.93
3NassarawaNorth Central27830000.10.30.50.90.00.10.60.50.85
4NigerNorth Central62600000.60.00.60.30.70.10.80.80.84
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" + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 FCT North Central 4865000 0.3 0.0 \n", + "1 Plateau North Central 4766000 0.4 0.5 \n", + "2 Kwara North Central 3524000 0.3 0.4 \n", + "3 Nassarawa North Central 2783000 0.1 0.3 \n", + "4 Niger North Central 6260000 0.6 0.0 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.9 0.4 0.6 0.9 \n", + "1 0.4 0.8 0.3 0.3 \n", + "2 0.3 0.2 0.4 0.2 \n", + "3 0.5 0.9 0.0 0.1 \n", + "4 0.6 0.3 0.7 0.1 \n", + "\n", + " Socio-Economic Transport Availability Acute IHR \n", + "0 0.6 0.2 0.79 \n", + "1 0.5 0.3 0.93 \n", + "2 0.6 0.7 0.93 \n", + "3 0.6 0.5 0.85 \n", + "4 0.8 0.8 0.84 " + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "520ff38f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object \n", + " 1 region 37 non-null object \n", + " 2 Population 37 non-null int64 \n", + " 3 Overall CCVI Index 37 non-null float64\n", + " 4 Age 37 non-null float64\n", + " 5 Epidemiological 37 non-null float64\n", + " 6 Fragility 37 non-null float64\n", + " 7 Health System 37 non-null float64\n", + " 8 Population Density 37 non-null float64\n", + " 9 Socio-Economic 37 non-null float64\n", + " 10 Transport Availability 37 non-null float64\n", + " 11 Acute IHR 37 non-null float64\n", + "dtypes: float64(9), int64(1), object(2)\n", + "memory usage: 3.6+ KB\n" + ] + } + ], + "source": [ + "covid_external.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "4c915f29", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesInitial_budget (Bn)Revised_budget (Bn)
0Abia136.60102.70
1Adamawa183.30139.31
2Akwa-Ibom597.73366.00
3Anambra137.10112.80
4Bauchi167.20128.00
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" + ], + "text/plain": [ + " states Initial_budget (Bn) Revised_budget (Bn)\n", + "0 Abia 136.60 102.70\n", + "1 Adamawa 183.30 139.31\n", + "2 Akwa-Ibom 597.73 366.00\n", + "3 Anambra 137.10 112.80\n", + "4 Bauchi 167.20 128.00" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Budget_data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "47bf9836", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 3 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object \n", + " 1 Initial_budget (Bn) 37 non-null float64\n", + " 2 Revised_budget (Bn) 37 non-null float64\n", + "dtypes: float64(2), object(1)\n", + "memory usage: 1016.0+ bytes\n" + ] + } + ], + "source": [ + "Budget_data.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "ac2af73e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearQ1Q2Q3Q4
0201415438679.5016084622.3117479127.5818150356.45
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2201615943714.5416218542.4117555441.6918213537.29
3201715797965.8316334719.2717760228.1718598067.07
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" + ], + "text/plain": [ + " Year Q1 Q2 Q3 Q4\n", + "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", + "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", + "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", + "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", + "4 2018 16096654.19 16580508.07 18081342.10 19041437.59" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RealGDP.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "b7496c7f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 7 entries, 0 to 6\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Year 7 non-null int64 \n", + " 1 Q1 7 non-null float64\n", + " 2 Q2 7 non-null float64\n", + " 3 Q3 7 non-null float64\n", + " 4 Q4 7 non-null float64\n", + "dtypes: float64(4), int64(1)\n", + "memory usage: 408.0 bytes\n" + ] + } + ], + "source": [ + "RealGDP.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "140000d9", + "metadata": {}, + "outputs": [], + "source": [ + "#Removing coma from the data values from NCDC website\n", + "covidnig.replace(',','', regex=True, inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "a79d0775", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
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" + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 26708 2435 \n", + "1 FCT 9627 2840 \n", + "2 Kaduna 4504 579 \n", + "3 Plateau 4262 280 \n", + "4 Oyo 3788 368 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 24037 236 \n", + "1 6694 93 \n", + "2 3877 48 \n", + "3 3948 34 \n", + "4 3374 46 " + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "3aba9131", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 States Affected 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", + " 2 No. of Cases (on admission) 37 non-null object\n", + " 3 No. Discharged 37 non-null object\n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(1), object(4)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "covidnig.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "41d9cc75", + "metadata": {}, + "outputs": [], + "source": [ + "# Converting NCDC's data into appropriate data type (from object to int)\n", + "newcovidnig = covidnig[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", + "covidnig[newcovidnig] = covidnig[newcovidnig].apply(pd.to_numeric,errors='coerce')" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "24c38b3c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 States Affected 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null int64 \n", + " 2 No. of Cases (on admission) 37 non-null int64 \n", + " 3 No. Discharged 37 non-null int64 \n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(4), object(1)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "# Checking: conversion is successful\n", + "covidnig.info()" + ] + }, + { + "cell_type": "markdown", + "id": "fd53ebe2", + "metadata": {}, + "source": [ + "# Task 3 - Data Cleaning and Preparation" + ] + }, + { + "cell_type": "markdown", + "id": "9a6a4596", + "metadata": {}, + "source": [ + "From the information obtained above, you will need to fix the data format.\n", + "Examples:\n", + "\n", + ">Convert to appropriate data type.\n", + ">Rename the columns of the scraped data.\n", + ">Remove comma(,) in numerical data\n", + ">Extract daily data for Nigeria from the Global daily cases data" + ] + }, + { + "cell_type": "markdown", + "id": "5995394a", + "metadata": {}, + "source": [ + "TODO A - Clean the scraped data" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "80bead0f", + "metadata": {}, + "outputs": [], + "source": [ + "#Data Cleaning and Preparation: Clean the scraped data\n", + "#Renaming columns of dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "fb588afb", + "metadata": {}, + "outputs": [], + "source": [ + "#Renaming of columns of merged dataframe\n", + "combined_df.rename(columns = {'states':'State', 'region': 'Region', 'Initial_budget (Bn)': 'Initial Budget in Billion', 'Revised_budget (Bn)': 'Revised Budget in Billion', 'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths', 'Q1': 'First Quarter', 'Q2': 'Second Quarter', 'Q3': 'Third Quarter', 'Q4':'Fourth Quarter'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "fd6cac5c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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StateRegionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised Budget in BillionNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of DeathsYearFirst QuarterSecond QuarterThird QuarterFourth Quarter
0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
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" + ], + "text/plain": [ + " State Region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic ... Revised Budget in Billion \\\n", + "0 0.2 ... 102.70 \n", + "1 0.7 ... 139.31 \n", + "2 0.5 ... NaN \n", + "3 NaN ... 366.00 \n", + "4 0.0 ... 112.80 \n", + "\n", + " Number of Lab Confirmed Cases Number of Cases on Admission \\\n", + "0 980.0 25.0 \n", + "1 355.0 96.0 \n", + "2 395.0 44.0 \n", + "3 NaN NaN \n", + "4 299.0 6.0 \n", + "\n", + " Number of Cases Discharged Number of Deaths Year First Quarter \\\n", + "0 945.0 10.0 NaN NaN \n", + "1 238.0 21.0 NaN NaN \n", + "2 342.0 9.0 NaN NaN \n", + "3 NaN NaN NaN NaN \n", + "4 274.0 19.0 NaN NaN \n", + "\n", + " Second Quarter Third Quarter Fourth Quarter \n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN \n", + "3 NaN NaN NaN \n", + "4 NaN NaN NaN \n", + "\n", + "[5 rows x 23 columns]" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checking if renamig is successful\n", + "combined_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "2e595642", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "State object\n", + "Region object\n", + "Population float64\n", + "Overall CCVI Index float64\n", + "Age float64\n", + "Epidemiological float64\n", + "Fragility float64\n", + "Health System float64\n", + "Population Density float64\n", + "Socio-Economic float64\n", + " Transport Availability float64\n", + "Acute IHR float64\n", + "Initial Budget in Billion float64\n", + "Revised Budget in Billion float64\n", + "Number of Lab Confirmed Cases float64\n", + "Number of Cases on Admission float64\n", + "Number of Cases Discharged float64\n", + "Number of Deaths float64\n", + "Year float64\n", + "First Quarter float64\n", + "Second Quarter float64\n", + "Third Quarter float64\n", + "Fourth Quarter float64\n", + "dtype: object" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checking data tyoes in columns of merged dataframe\n", + "combined_df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "37941bb4", + "metadata": {}, + "outputs": [], + "source": [ + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "a3831d28", + "metadata": {}, + "outputs": [], + "source": [ + "# Saved global data from John Hopkin's repository" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "dd04542b", + "metadata": {}, + "outputs": [], + "source": [ + "# Saved global data from John Hopkin's repository\n", + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "928f0f66", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
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1NaNAlbania41.15330020.168300000000...321345321804322125322837323282323829325241325736326077326181
2NaNAlgeria28.0339001.659600000000...269008269141269269269381269473269556269650269731269805269894
3NaNAndorra42.5063001.521800000000...45899458994589945899459754597545975459754597545975
4NaNAngola-11.20270017.873900000000...102636102636102636102636102636102636102636102636102636102636
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200Cook IslandsNew Zealand-21.236700-159.777700000000...6209620962406265626562656265626562656265
201NaNNew Zealand-40.900600174.886000000000...1687705169126116962391700900170559717095411712957171516517180091721836
202NaNNicaragua12.865416-85.207229000000...14872148721487214872148991489914899148991489914899
203NaNNiger17.6077898.081666000000...9132913291399139915791579183918391839203
204NaNNigeria9.0820008.675300000000...262520262520262520262664262664262748262748262912262912262912
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" + ], + "text/plain": [ + " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", + "0 NaN Afghanistan 33.939110 67.709953 0 0 \n", + "1 NaN Albania 41.153300 20.168300 0 0 \n", + "2 NaN Algeria 28.033900 1.659600 0 0 \n", + "3 NaN Andorra 42.506300 1.521800 0 0 \n", + "4 NaN Angola -11.202700 17.873900 0 0 \n", + ".. ... ... ... ... ... ... \n", + "200 Cook Islands New Zealand -21.236700 -159.777700 0 0 \n", + "201 NaN New Zealand -40.900600 174.886000 0 0 \n", + "202 NaN Nicaragua 12.865416 -85.207229 0 0 \n", + "203 NaN Niger 17.607789 8.081666 0 0 \n", + "204 NaN Nigeria 9.082000 8.675300 0 0 \n", + "\n", + " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", + "0 0 0 0 0 ... 188820 189045 189343 \n", + "1 0 0 0 0 ... 321345 321804 322125 \n", + "2 0 0 0 0 ... 269008 269141 269269 \n", + "3 0 0 0 0 ... 45899 45899 45899 \n", + "4 0 0 0 0 ... 102636 102636 102636 \n", + ".. ... ... ... ... ... ... ... ... \n", + "200 0 0 0 0 ... 6209 6209 6240 \n", + "201 0 0 0 0 ... 1687705 1691261 1696239 \n", + "202 0 0 0 0 ... 14872 14872 14872 \n", + "203 0 0 0 0 ... 9132 9132 9139 \n", + "204 0 0 0 0 ... 262520 262520 262520 \n", + "\n", + " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", + "0 189477 189710 190010 190254 190435 190643 191040 \n", + "1 322837 323282 323829 325241 325736 326077 326181 \n", + "2 269381 269473 269556 269650 269731 269805 269894 \n", + "3 45899 45975 45975 45975 45975 45975 45975 \n", + "4 102636 102636 102636 102636 102636 102636 102636 \n", + ".. ... ... ... ... ... ... ... \n", + "200 6265 6265 6265 6265 6265 6265 6265 \n", + "201 1700900 1705597 1709541 1712957 1715165 1718009 1721836 \n", + "202 14872 14899 14899 14899 14899 14899 14899 \n", + "203 9139 9157 9157 9183 9183 9183 9203 \n", + "204 262664 262664 262748 262748 262912 262912 262912 \n", + "\n", + "[205 rows x 948 columns]" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#viewing basic information from John Hopkin's global data\n", + "JH_confirmed_global.head(n=205)" + ] + }, + { + "cell_type": "markdown", + "id": "21081e69", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "id": "cfee36c4", + "metadata": {}, + "source": [ + "TODO B - Get a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", + "\n", + "TODO C - Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases\n", + "\n", + "TODO D - Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "8ea0ac17", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", + "# The data frames will be restructured to make data accessible and extractable. We restructure dataframe using pd.melt() and drop() method\n", + "JH_Daily_confirmed = pd.melt(JH_confirmed_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Confirmed Cases')" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "b7c7345b", + "metadata": {}, + "outputs": [], + "source": [ + "# Still converting data tpe: Date column values is to be converted into standard Datetime format\n", + "JH_Daily_confirmed['Date'] = pd.to_datetime(JH_Daily_confirmed['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "0f5ba3ca", + "metadata": {}, + "outputs": [], + "source": [ + "#delete other columns aside date and country/region using the drop()method\n", + "JH_Daily_Confirmeddf= JH_Daily_confirmed.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "c1f8e51e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0Afghanistan2020-01-220
1Albania2020-01-220
2Algeria2020-01-220
3Andorra2020-01-220
4Angola2020-01-220
............
269035West Bank and Gaza2022-08-22698384
269036Winter Olympics 20222022-08-22535
269037Yemen2022-08-2211915
269038Zambia2022-08-22332527
269039Zimbabwe2022-08-22256628
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269040 rows × 3 columns

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" + ], + "text/plain": [ + " Country/Region Date Confirmed Cases\n", + "0 Afghanistan 2020-01-22 0\n", + "1 Albania 2020-01-22 0\n", + "2 Algeria 2020-01-22 0\n", + "3 Andorra 2020-01-22 0\n", + "4 Angola 2020-01-22 0\n", + "... ... ... ...\n", + "269035 West Bank and Gaza 2022-08-22 698384\n", + "269036 Winter Olympics 2022 2022-08-22 535\n", + "269037 Yemen 2022-08-22 11915\n", + "269038 Zambia 2022-08-22 332527\n", + "269039 Zimbabwe 2022-08-22 256628\n", + "\n", + "[269040 rows x 3 columns]" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking if the formatting of dataframe for global confirmed Cases is as expected\n", + "JH_Daily_Confirmeddf" + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "3906e952", + "metadata": {}, + "outputs": [], + "source": [ + "#Applying formatting tools used for global confirmed cases to Dataframe of global recoveries and Deaths\n", + "\n", + "JH_Daily_Recovery = pd.melt(JH_recovered_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Recovered Cases')\n", + "JH_Daily_Recovery['Date'] = pd.to_datetime(JH_Daily_Recovery['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "f2abb71a", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Recoverydf= JH_Daily_Recovery.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "e230f423", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Deaths = pd.melt(JH_deaths_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Death Cases')\n", + "JH_Daily_Deaths['Date'] = pd.to_datetime(JH_Daily_Deaths['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "057b66ac", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Deathsdf= JH_Daily_Deaths.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "b0836c34", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "e88a3fda", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_confirmed[JH_Daily_confirmed['Country/Region'] == 'Nigeria']" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "2addb352", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Confirmed_Nigeriadf= Nigeria[['Date', 'Confirmed Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "d8573def", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Date Confirmed Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 262748\n", + "940 2022-08-19 262748\n", + "941 2022-08-20 262912\n", + "942 2022-08-21 262912\n", + "943 2022-08-22 262912\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Confirmed_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "d7bdc7dc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Confirmed Cases 135384240\n", + "dtype: int64" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "25a3156b", + "metadata": {}, + "outputs": [], + "source": [ + "# Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "864d686b", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_Recovery[JH_Daily_Recovery['Country/Region'] == 'Nigeria']\n", + "JH_Daily_Recovery_Nigeriadf= Nigeria[['Date', 'Recovered Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "fc332724", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Date Recovered Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 0\n", + "940 2022-08-19 0\n", + "941 2022-08-20 0\n", + "942 2022-08-21 0\n", + "943 2022-08-22 0\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Recovery_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "e1dd3a3d", + "metadata": {}, + "outputs": [], + "source": [ + "#Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "f77a30c0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recovered Cases 39492087\n", + "dtype: int64" + ] + }, + "execution_count": 75, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Getting total recovered cases in Nigeria upto Aug. 2022\n", + "JH_Daily_Recovery_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "d1ad4519", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_Deaths[JH_Daily_Deaths['Country/Region'] == 'Nigeria']\n", + "JH_Daily_DeathsNigeriadf= Nigeria[['Date', 'Death Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "b411a9c2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Death Cases 1774393\n", + "dtype: int64" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Getting total Deaths status in Nigeria upto Aug. 2022\n", + "JH_Daily_DeathsNigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "b8aaf40a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath Cases
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12020-01-230
22020-01-240
32020-01-250
42020-01-260
.........
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944 rows × 2 columns

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" + ], + "text/plain": [ + " Date Death Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "939 2022-08-18 3147\n", + "940 2022-08-19 3147\n", + "941 2022-08-20 3147\n", + "942 2022-08-21 3147\n", + "943 2022-08-22 3147\n", + "\n", + "[944 rows x 2 columns]" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_DeathsNigeriadf" + ] + }, + { + "cell_type": "markdown", + "id": "d5019c67", + "metadata": {}, + "source": [ + "# Task 4 - Analysis" + ] + }, + { + "cell_type": "markdown", + "id": "34c9c7c3", + "metadata": {}, + "source": [ + "Here you will perform some analyses on the datasets. You are welcome to communicate findings in charts and summary.\n", + "We have included a few TODOs to help with your analysis. However, do not let this limit your approach, feel free to include more, and be sure to support your findings with chart and summary" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1988bee1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "6c7bced2", + "metadata": {}, + "source": [ + "TODO A - Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory test" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7b88cd24", + "metadata": {}, + "outputs": [], + "source": [ + "# To Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory \n", + "#First renaming columns from original dataframe fro link (data cleaning)\n", + "covidnig\n", + "covidnig.rename(columns = {'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "9a1b289e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
10Ondo179362169041
11Katsina1405214116724
12Enugu137634132121
13Kwara1296171109431
14Gombe116418395031
15Ebonyi109124103730
16Abia9802594510
17Osun9792093722
18Bauchi89710877514
19Borno7783770536
20Imo7346166112
21Nasarawa60026232513
22Benue5154446011
23Bayelsa4975542121
24Ekiti405243756
25Akwa Ibom395443429
26Jigawa3865731811
27Niger3816930012
28Adamawa3559623821
29Anambra299627419
30Sokoto2284017117
31Taraba203191777
32Yobe164331238
33Kebbi14351308
34Cross River9318111
35Zamfara791735
36Kogi5032
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" + ], + "text/plain": [ + " States Affected Number of Lab Confirmed Cases \\\n", + "0 Lagos 26708 \n", + "1 FCT 9627 \n", + "2 Kaduna 4504 \n", + "3 Plateau 4262 \n", + "4 Oyo 3788 \n", + "5 Rivers 3279 \n", + "6 Edo 2768 \n", + "7 Ogun 2382 \n", + "8 Kano 2032 \n", + "9 Delta 1843 \n", + "10 Ondo 1793 \n", + "11 Katsina 1405 \n", + "12 Enugu 1376 \n", + "13 Kwara 1296 \n", + "14 Gombe 1164 \n", + "15 Ebonyi 1091 \n", + "16 Abia 980 \n", + "17 Osun 979 \n", + "18 Bauchi 897 \n", + "19 Borno 778 \n", + "20 Imo 734 \n", + "21 Nasarawa 600 \n", + "22 Benue 515 \n", + "23 Bayelsa 497 \n", + "24 Ekiti 405 \n", + "25 Akwa Ibom 395 \n", + "26 Jigawa 386 \n", + "27 Niger 381 \n", + "28 Adamawa 355 \n", + "29 Anambra 299 \n", + "30 Sokoto 228 \n", + "31 Taraba 203 \n", + "32 Yobe 164 \n", + "33 Kebbi 143 \n", + "34 Cross River 93 \n", + "35 Zamfara 79 \n", + "36 Kogi 5 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", + "0 2435 24037 236 \n", + "1 2840 6694 93 \n", + "2 579 3877 48 \n", + "3 280 3948 34 \n", + "4 368 3374 46 \n", + "5 232 2987 60 \n", + "6 52 2603 113 \n", + "7 174 2175 33 \n", + "8 198 1778 56 \n", + "9 57 1737 49 \n", + "10 62 1690 41 \n", + "11 214 1167 24 \n", + "12 34 1321 21 \n", + "13 171 1094 31 \n", + "14 183 950 31 \n", + "15 24 1037 30 \n", + "16 25 945 10 \n", + "17 20 937 22 \n", + "18 108 775 14 \n", + "19 37 705 36 \n", + "20 61 661 12 \n", + "21 262 325 13 \n", + "22 44 460 11 \n", + "23 55 421 21 \n", + "24 24 375 6 \n", + "25 44 342 9 \n", + "26 57 318 11 \n", + "27 69 300 12 \n", + "28 96 238 21 \n", + "29 6 274 19 \n", + "30 40 171 17 \n", + "31 19 177 7 \n", + "32 33 123 8 \n", + "33 5 130 8 \n", + "34 1 81 11 \n", + "35 1 73 5 \n", + "36 0 3 2 " + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "7dbfc744", + "metadata": {}, + "outputs": [], + "source": [ + "#Sorting top 10 states with highest lab confirmed cases by using df.sort_values()\n", + "\n", + "covidnig_lab10confirmed = covidnig.sort_values('Number of Lab Confirmed Cases', ascending = False)\n", + "covidnig_lab10confirmed = covidnig_lab10confirmed.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "83f35642", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
0Lagos26708243524037236
1FCT96272840669493
2Kaduna4504579387748
3Plateau4262280394834
4Oyo3788368337446
5Rivers3279232298760
6Edo2768522603113
7Ogun2382174217533
8Kano2032198177856
9Delta184357173749
\n", + "
" + ], + "text/plain": [ + " States Affected Number of Lab Confirmed Cases \\\n", + "0 Lagos 26708 \n", + "1 FCT 9627 \n", + "2 Kaduna 4504 \n", + "3 Plateau 4262 \n", + "4 Oyo 3788 \n", + "5 Rivers 3279 \n", + "6 Edo 2768 \n", + "7 Ogun 2382 \n", + "8 Kano 2032 \n", + "9 Delta 1843 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", + "0 2435 24037 236 \n", + "1 2840 6694 93 \n", + "2 579 3877 48 \n", + "3 280 3948 34 \n", + "4 368 3374 46 \n", + "5 232 2987 60 \n", + "6 52 2603 113 \n", + "7 174 2175 33 \n", + "8 198 1778 56 \n", + "9 57 1737 49 " + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking top 10 states\n", + "covidnig_lab10confirmed" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "2d8a31e5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting top 10 states with corresponding confirmed cases\n", + "Top_10_covidngcases = sns.barplot(x='Number of Lab Confirmed Cases', y='States Affected', data=covidnig_lab10confirmed, color = 'blue').set_title('Top 10 covid cases in Nigerian States')\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bb27389", + "metadata": {}, + "source": [ + "Lagos with the highest covid case and Delta is with the lowest." + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "b92dd2a0", + "metadata": {}, + "outputs": [], + "source": [ + "#Generating a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values\n", + "covidnig_10Discharged = covidnig.sort_values('Number of Cases Discharged', ascending = False)\n", + "covidnig_10Discharged = covidnig_10Discharged.iloc[:10,]" + ] + }, + { + "cell_type": "markdown", + "id": "30a63c50", + "metadata": {}, + "source": [ + "TODO B - Generate a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values" + ] + }, + { + "cell_type": "code", + "execution_count": 185, + "id": "a35d2c2c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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p6anWNr1p06YsvxT8Fw8fPlQGvhg8ePBrt/37779Zs2ZNpsQUFhYGpN8j8L9yXLFihdIGC+ltnadPn6ZixYpZVum+Tka1c2RkpNrykJAQ5R3nl38X2WnatCkWFhZs3bqVkJAQZfmzZ88ytdMaGBjQqlUrQkJCWL9+vdq6a9eu4enpybZt2zAzM8PAwID9+/fj4+OT6QtSRnX3y++pi7xDqpRFnvT999/j6urK/Pnz+fPPP7G3tyc4OJjTp09jYWGR5SD5AN988w3Ozs7o6upy9OhRYmNjmTp1aqbq53ehq6vLd999x8iRI+nbty9t2rQhMTGR/fv3U6hQIY3egezQoQNHjx5l//793Llzh3r16hEZGcmRI0coVqwYw4cPB6BXr178/fffHDx4kDt37lC/fn2ePXvGH3/8QVJSEj/88EOm9kA7Ozvs7e0JCAigaNGiWU4W8KqWLVty9OhRjhw5Qq9evXB0dCQkJIQzZ85QunTpTH/YX8ff318tocTFxXHv3j3Onj1LUlIS7u7ub/wCNHDgQC5evMi3337Lp59+SokSJbh//z7Hjx+nVKlSSu/1Bg0a0KFDB3bt2kWPHj1o2LAh8fHxSs/sCRMmaBx3hox3adetW0dISAhlypQhNDSUv/76S2lPz2jWeB0jIyPGjRvH+PHj6du3L82aNcPY2Jjjx48rX2p0dP73zDNs2DCuXLnC0qVLOXHiBNWrVycyMpKjR4+SmprKhAkTlF7wQ4YMYezYsfTq1YtPP/0UCwsLAgICOHPmDFWqVMnUY1rkDZJwRZ700UcfsW7dOlatWsWJEye4fPkyxYoVo0uXLvTr1y/LDlK9e/fmxYsX7N69m/j4eKpWrco333yj9qrQ+9KwYUPlHc9du3ZhZGSEo6Oj0mv0TXR1dVmwYAF+fn7s27eP7du3Y2xsjLOzM4MGDVI6RBkYGODl5YWfnx8HDhxgx44dmJqa0qBBA3r37p1lD1hIf/ILCAigZcuWGvdanT59OlWrVuW3335jx44dlC5dmp9++omTJ0++dcJ9ubrdwMAAS0tLnJ2d6dKlS6YeulmpVq0aK1eu5Oeff+bChQs8ffqUYsWK0blzZ7755hu1L1ATJkygSpUq/Prrr/z222/o6+tTr1493N3d/9MkEsWLF2fp0qUsXboUf39/zp49i5WVFZ07d6Z///707duXCxcukJyc/MaydXZ2ZuHChaxevZojR46gr69P48aN6dixI+7u7mqduCwsLFi9ejVr1qzhjz/+YMuWLZibm/Pxxx/Tr18/tWaRpk2b4uXlxfr16zl58iTR0dFYW1vTt29f+vTpIz2V8yhVVFTUmxsjhMjDMoZ2HDZsGD179sztcIQA0jtGxcbGUqJEiUwdt86fP8+3337LkCFD6N27dy5FKLRN2nCFECIHZExwMXHiRLXlKSkpSoenevXq5UZoIpdIvYMQQuSAypUrU716dQ4dOkR4eDg1atQgOTmZv//+m+DgYLp06ZLl5Aqi4JKEK4QQOUBHR4fFixfzyy+/cPjwYbZv346uri7lypVj4sSJMjjFB0jacIUQQggtkDZcIYQQQgsk4QohhBBaIAlXCCGE0ALpNPWOzp3LPEWb+J+MgfjFm0lZaUbKSXMfWllZW+tgY6P75g1fERgYSMWKFXMgInWScN+Rq+v7m/at4JIy0pyUlWaknDT34ZSVj4/pf0q42iJVykIIIYQWSMIVQgghtCBPJlxHR0fOnj2b22EIIYQQ702eTLhCCCFEQSMJVwghhNCCfNlLeffu3axfv56HDx9iYmKCs7Mzo0ePVuaA3LhxI35+frx48YJ27dpx9+5d2rVrh4uLC6mpqfj5+bFjxw4iIiKoWrUqo0aNwt7eHoAjR47g7e1NaGgoVlZW9O3bl/bt2+fm5QohhCgA8t0T7qVLl5gzZw6DBg1i+/btfPfdd+zZs4djx44BsH//fry9vRk+fDi+vr6EhYWpTYbt6+uLn58fI0aMYN26dZQqVQoPDw9iY2OJjIzkhx9+4KuvvmLr1q307duXn376iXv37uXS1QohhCgo8l3CNTQ0ZMKECTRv3pySJUvi7OyMvb09wcHBAGzdupWuXbvSsmVL7OzsmDRpEoaGhgCkpaWxZcsWBgwYQJMmTbC1tWXChAno6emxb98+/v33X5KTkylevDglS5akffv2eHl5UbRo0dy8ZCGEEAVAvqtSrlKlCoaGhnh7exMUFMSdO3d48OAB9evXB+DOnTv07NlT2d7MzIyyZcsCEBkZSXR0NNWrV1fW6+npUaVKFe7du8cXX3xB69atGTFiBB999BGNGzfGxcUFMzMz7V6kEEKIAiffPeGePn2a3r17ExERQYMGDZg1axYODg7Kel3dzKOMpKWlz0CY8aT7qtTUVFJSUlCpVEybNo1169bRpk0bLl68SL9+/Thz5kzOXIwQQogPRr5LuL/99hvt2rVj/PjxdOrUiXLlyhEaGqok1fLly3Pz5k1l+5iYGB4+fAiAqakplpaWXLt2TVmfnJzMrVu3KFu2LPfu3cPT05PKlSvj5ubG+vXrqVWrFn/88YdWr1EIIUTBk2erlG/evElKSorasho1amBubs7Vq1cJDAxER0eHtWvXEhERQVJS+iQCXbt2ZebMmVSuXBlbW1u8vb158eKFcowePXrg6+tLiRIlKFOmDOvWrSM+Pp5WrVqRlpbGr7/+iomJCe3atSMsLIw7d+7QsmVLrV67EEKIgifPJtylS5dmWrZmzRpcXV2ZMmUK33zzDSYmJjRq1Igvv/yS27dvA9CqVSsePHjA7NmzSUxMpEOHDpQqVQp9fX0AvvrqK2JjY5k5cyYxMTHUqFGDlStXUqxYMQBmz57N0qVLWb9+PWZmZnTp0oWOHTtq78KFEEIUSKqoqKi03A7iffL396d06dJYWVkB6VXGrVq1Yu7cudStW/e9n69Wrafv/ZhCCCHeno+PKfXr67/1fjI933/0xx9/cPXqVb777jsKFSrEL7/8gomJiVrPZCGEEELb8l2nqTcZOHAgZcqUYciQIfTo0YOQkBAWLVqUbQ9lIYQQQhsK3BOuiYkJU6ZMye0whBBCCDUFLuFqm4+PaW6HkKfFxcVhbGyc22HkC1JWmpFy0tyHVlbW1nm70lYS7jv6Lw30H5LAwHta6YxQEEhZaUbKSXNSVnlL3v46IIQQQhQQknCFEEIILZCEK4QQQmiBtOG+o3PnknI7hDwtLs6KqKicLSNrax1sbDJPWiGEEHmJJNx35Ooak9sh5AM5W0Y+PqaScIUQeZ5UKQshhBBaIAlXCCGE0IJ8X6XcsWNHwsLCMi0vX748v/zyC5A+af369eu5desWurq6VK9eHXd3dypVqgSAo6Pja89x9uzZ9x+4EEKID0q+T7gAHh4etG7dWm2Znl76pW3evJklS5bg5ubGmDFjSElJYdOmTQwcOJCVK1dSqVIl9u3bp+w3b948dHR0GDlypFavQQghRMFWIBKuiYkJlpaWmZaHhoayePFiJkyYwGeffaYs/+GHH3j06BHLli1j0aJFavsaGBigq6ub5fGEEEKI/6pAJNzsHDhwAHNzc9q0aZNp3ffff09aWoGaClgIIUQeVqATbmBgIJUrV0ZHJ3PfsDJlyuRCREIIIT5UBSLhzps3D09PT7Vlv/76KzExMRQpUiSXohJCCCH+p0Ak3AEDBuDs7Ky2zNzcHHNzc54/f55LUQkhhBD/UyDew7WwsMDGxkbtR1dXl6pVq3Lz5s0s22pPnDjBhAkTSE5OzoWIhRBCfGgKRMLNjrOzM7GxsWqv/QCkpqbi5+fHs2fPlNeHhBBCiJxUoLONlZUVAwcOZObMmURFReHk5ERMTIwyCIavr29uhyiEEOIDUaATLkDPnj0pXrw4mzdvxtfXF319fRwcHPD19cXOzi63wxNCCPGByPcJ97fffnvjNq1bt840ElV2pk6d+q4hCSGEEJkU6DZcIYQQIq+QhCuEEEJoQb6vUs5tPj6muR1CnhYXF4exsXGOnsPaWr43CiHyPkm476h+ff3cDiFPCwy8R8WKFXM7DCGEyHXyaCCEEEJogSRcIYQQQgsk4QohhBBaIG247+jcuaTcDiFHWVvrYGOjm9thCCFEvicJ9x25usbkdgg5ysfHVBKuEEK8B1KlLIQQQmiBJFwhhBBCC7RepdyxY0fCwsKUz7q6ulhZWdG5c2f69OmDu7s7NWvWZNCgQW88VmRkJBcuXKBly5Y5GbIQQgjxznKlDdfDw0OZTCAlJYVz587x008/Ubx48bc6zpIlS0hOTpaEK4QQIs/LlYRrYmKCpaWl8tnFxYWDBw9y9OjRtzpOWlra+w5NCCGEyBF5pg1XV1cXAwMDtWXJycksXrwYFxcXGjZsSIcOHdi2bRsA3t7e7N27l/3799OxY0cAYmJimDx5Ms2bN6dNmzbMmDGD2NhY5Xh//fUXvXr1onHjxjRv3pzx48cTExOjHM/V1VXt/B07dmTnzp05eNVCCCE+FLmecJOTkzl27Bh///03TZo0UVu3du1ajh8/zsyZM9m2bRsuLi7Mnz+ff//9l549e9KiRQs+/fRT1qxZA8C0adN49uwZ3t7eeHp6EhISosxvGxoaynfffcfnn3/Oli1bmDlzJufPn2fHjh3avmQhhBAfoFypUp43bx6enp4AJCQkYGRkxFdffUWbNm3Unijt7OyYMGECNWrUAKBv3774+voSEhJCvXr1MDQ0JCUlhSJFivDw4UP++OMPDh48iLm5OQCTJ0+mY8eOPH78mJSUFEaOHEnnzp0BKFWqFI6OjgQFBWn34oUQQnyQciXhDhgwAGdnZwAMDAywtLREVzfz4ArNmjXj77//ZuHChYSEhHDr1i0AUlNTM20bHBxMWloaHTp0yLQuJCQER0dHDAwMWL16NUFBQcpPq1at3vPVCSGEEJnlSsK1sLDAxsbmjdstX76cX3/9lfbt29O2bVvGjh2rtNe+KiUlBWNjYzZs2JBpnaWlJQEBAbi6uuLk5EStWrX4+uuv2bRpk7KNSqXK8phCCCHE+5Cnh3bcsWMHo0ePVl4hyqj+zeid/HKSLFu2LHFxcaSmplK2bFkAHjx4wMKFC/n+++/5/fffcXBwYPr06co+Dx48UBK/vr6+WgeruLg4IiMjc/YChRBCfDCyTbguLi5ZPvVlZ/fu3e8loJeZm5tz4sQJqlevTkREBPPnzwcgMTERAGNjYwICAggPD8fW1paGDRsyadIkRo8ejYGBAbNnzyY1NRVLS0vMzc0JCgri2rVrmJmZsWPHDm7cuIG1tTUAVatWZdmyZfz+++9Uq1YNX1/fLKu5hRBCiP8i24Rbv359JeGmpaVx6NAhjI2N+eSTTyhevDhRUVGcPn2a58+fKx2R3rcffviB2bNn0717dywtLenUqRN6enoEBATg5OREu3btOHbsGD169ODgwYNMmTKF+fPnM3ToUFQqFY6OjowePRqAbt26cfv2bYYOHYq+vj61a9dmwIAB7N+/X7nenj17Mm/ePHR0dOjevTsODg45cl1CCCE+PKqoqKg3jh7h7e3N6dOnWbJkCSYmJsryhIQEhg8fTrly5Rg3blyOBppX1ar1NLdDyFE+PqbUr6//n/cPDAykYsWK7zGigkvKSjNSTpqTstKMtspJo/dwt2/fTu/evdWSLYChoSHdu3fn0KFDORKcEEIIUVBolHBTUlKIj4/Pct3Tp0/R0cn18TOEEEKIPE2jTFm/fn1WrFhBQECA2vIrV66wcuVKnJycciQ4IYQQoqDQ6LWgkSNH4ubmRu/evbG2tqZIkSI8efKE8PBw7O3tGT58eA6HmXf5+Jjmdgg5ytpaai+EEOJ90CjhFi9enF9++YW9e/fi7+/Ps2fPsLGxwdHRkTZt2qCnl6df581R79KhSAghxIdD40xpaGjI559/zueff56T8QghhBAFksYJ98WLF2zdupW///6biIgIZs6cyalTp6hWrRp16tTJyRiFEEKIfE+jhBsREcHAgQN5/PgxlSpV4v79+yQlJXHx4kVWrFjB4sWLqVu3bk7HmiedO5eU2yHkGGtrHWxsZLQtIYR4HzRKuIsWLSIlJYWtW7dSvHhxPvnkEwDmzJnDsGHD8PX1/WATrqtrTG6HkGN8fEwl4QohxHuiURfU06dP4+bmRsmSJdXGV9bT06Nbt24EBgbmWIBCCCFEQaBRwk1KSso0ylQGlUpFcnLyew1KCCGEKGg0SrhVq1Zly5YtavPDZjzp7tu3jypVqmh0MkdHR86ePau27OLFizg5OTFv3jxNY1azfPly3N3d/9O+QgghhLZolHAHDRrEpUuX+Prrr1m6dCkqlYp9+/YxbNgwjh8/jqur6386eWBgIKNGjaJly5aMGjXqPx1DCCGEyA80SrgODg4sW7YMMzMzNm3aRFpaGps3byY6OpqFCxf+p9eCQkND8fDwwNHRkQkTJrzV3LtCCCFEfqPxe7g1a9bEx8eHhIQEoqOjMTU1xdjYGIDk5OS3Gm0qMjKSYcOGUaFCBaZNm6Y20XtERATz5s3j3LlzxMfHY2try8iRI5WkHhQUxMyZM7l16xY1a9bko48+Uvbds2cPK1asYM+ePcoyd3d3atasyaBBg5gyZQqmpqY8ffqU48ePU7x4cfr164eLi4tG5xZCCCH+K42ecDt16sTt27eB9BGnihcvriTby5cv07ZtW41PGBsbi4eHB48fP2batGno66sPjThp0iSSk5Px9fVl/fr1WFlZMXv2bAASExMZMWIEpUqVYv369TRr1ozffvtN43ND+lSD9vb2rF+/ngYNGjB79myePXv2xnMLIYQQ7yLbx9K1a9cqU/KFhYWxefNmrKysMm137do1UlNTNT7hnDlzsLS0RF9fn7Vr1zJs2DC19U5OTjRv3lw51xdffIGHhwdpaWmcPXuWqKgoxo0bR6FChShXrhznz58nKipK4/NXqFCB3r17A+lt01u3buXu3bvUqVPnteeWKm8hhBDvItuEm5qayurVq4H0Hsl79+7NtI2Ojg6mpqZv1UvYzMwMLy8vDh8+zLx582jevDk1atRQ1nfp0oWDBw9y5coVQkJCuHXrFpA+J29wcDClS5emUKFCyvZVqlTh9OnTGp+/dOnSyr9NTdNn+sl4rel15/6QJ2gQQgjx7rLNIv369aNfv34AfPzxx3h7e1OzZs13PuHw4cOxsLCgS5cuHDhwgKlTp7JhwwYMDQ1JTU1lyJAhREdH07JlS5ycnEhKSmLcuHHZX8AbEuHLrzIBmaqwM/yXcwshhBCa0qgNd+fOnVSrVo0HDx4oy6Kiorh48eJbnzCjg5RKpWL8+PGEhYWxcuVKAIKDg7l48SJeXl7079+fxo0b8+TJE2VfOzs7Hjx4QHR0tLIso20Z0pNpbGwsaWlpAKSlpfHo0SON4nrTuYUQQoh3oVHCNTY2xt3dHQ8PD2XZ9evXcXd3Z+jQocTE/LfxhG1tbenbty8bN27kypUrmJqaoqOjw6FDhwgLC+PIkSN4e3sD6R2mHB0dKVmyJNOmTSMoKIhdu3Zx9OhR5XhVq1YlNjaWdevWERoayuLFi9WS8+u86dxCCCHEu9Ao4Xp5efHPP/8wZswYZVnDhg3x8vLi3r17rFix4j8H0LdvX8qVK8e0adMwNzdn3Lhx+Pn50a1bN9asWcOoUaPQ09Pj9u3b6Onp4enpSWxsLH369GHnzp106dJFOZaNjQ0eHh5s2rSJnj17kpSURMuWLTWKw8rK6rXnFkIIId6FKioqKu1NG7Vt2xYPDw/atGmTaV1W775+SGrVeprbIeQYHx9T6tfPus1bU4GBgVSsWPE9RVSwSVlpRspJc1JWmtFWOWn0hBsXF6e8d/sqc3Nz5T1WIYQQQmRNo4RbqVIldu7cmeW6Xbt2YW9v/z5jEkIIIQocjV4u7devHyNGjODrr7+mWbNmFC1alKioKP7880/u3LnDggULcjpOIYQQIl/TKOE2aNCABQsW4O3tzerVq5WRl+zt7Zk7dy4NGzbM6TjzLB8f09wOIcdYW2tUASKEEEIDGg+f1LBhQxo2bJjl5AUfsnftVCSEEOLD8FaPMOHh4Rw5coR9+/YRGxvLrVu3lGERhRBCCJE9jZ9wlyxZwsaNG0lJSUGlUvHxxx/j5eXF06dPWbp0KUWKFMnJOIUQQoh8TaMnXD8/P/z8/HBzc+OXX35Rhk7s378/T548UYZmFEIIIUTWNHrC3b59O3369KFv375qkwHUrVsXNzc3fv755xwLMK87dy4pt0N4J9bWOtjY6OZ2GEIIUeBplHDDw8OznSnIxsbmreajLWhcXf/bONJ5hY+PqSRcIYTQAo2qlK2srLKdGejatWtYW1u/16CEEEKIgkajJ9xOnTqxfPlyjIyMaNq0KQAxMTEcPHiQ9evX07dv35yMUQghhMj3NEq4PXv2JCwsDG9vb2XKuiFDhgDpExv07t075yJ8C5GRkfj4+PDXX3/x7NkzrKysaN26Nb169cLIyCi3wxNCCPEByzbhXrhwgapVq2JsbIxKpWLs2LF89dVXnD9/nqioKAoXLkzt2rWxs7PTZrzZCg8Px9XVlVKlSjFlyhRKlizJnTt3WL58OSdPnmTFihWSdIUQQuSabBPumDFjmDdvHnXq1GHQoEGMHj0aOzs7bGxstBmfxubOnUuJEiXw8vJCTy/9skqVKkXt2rXp3r07q1atYvDgwbkcpRBCiA9Vtp2mUlJSuH37NikpKfj7+/P8+XNSU1Oz/clNkZGR/PXXX/Tp00dJthkKFy5M9+7d2bVrF0OGDGH27Nlq6ydMmMC8efMACA4OZtiwYTRv3pzPPvsMb2/vXL82IYQQBUO2T7gNGjRg4cKFLFq0CJVKhbu7e7YHUalUnD59OkcC1MStW7dITU2lWrVqWa6vVasWXl5e1KxZk+3btzN69Gh0dXWJj4/nxIkTeHl5ERUVhZubG02aNGH16tXcv3+fn376CWNjY3r16qXlKxJCCFHQZJtwf/zxR+rWrcuzZ8/w9fXFxcUlz77+Ex0dDaQ/zWbFzMwMgHr16rFu3TouXrxIvXr1OHHiBBYWFtSoUYMtW7ZgaGjI999/j56eHra2tkRERLBy5UpJuEIIId5Ztgl3woQJDB48mIoVK+Lv789XX31FhQoVtBmbxjIS6pMnT7Cyssq0/t9//wWgaNGiNG7cmMOHD1OvXj0OHz5Mq1atUKlUBAcHU6lSJbUqaQcHB6KiooiKisLCwkIr1yKEEKJgyrYNN6M3MsDFixd58eKFtmJ6a1WrVkVXV5ebN29muf7GjRtYWFhQunRpWrduzR9//EFsbCwnT56kVatWABgYGGTaL6P99uXhLIUQQoj/Itsn3OLFi7NkyRIaNmxIWloaO3fuzLadVqVS4ebmlmNBvomFhQXOzs74+vrSuHFjtafUmJgYNm7cSPv27dHT06NRo0YkJSWxbt06SpUqRcWKFQGwtbXl6NGjJCcnK/tfvXoVMzMzmQlJCCHEO8s24Q4ePJjZs2fz888/o1Kp2Lt3b7YHye2ECzB8+HAGDhzI0KFDlfdxg4KCWLp0KVZWVri6ugLpT7LNmjVj48aNaiNktW7dGm9vb2bOnEnPnj158OAB3t7edOnSBR2dt5o2WAghhMgk24TbokULWrRoAcDHH3+Mj48PDg4OWgvsbVlaWrJq1Sp+/vlnpkyZQmRkZLYjTbVq1Yrdu3cr1ckAhQoVYtGiRcyfP59evXphYWFBt27d6NevX25cjhBCiAJGo6Edly9fnu2IUvHx8ezfv59OnTq9z7j+EwsLC0aMGMGIESNeu11ERATVqlXLNIiHvb29zO0rhBAiR2iUcOvUqZNpWVBQEDt27OD3338nNjY2TyTcNwkNDeXGjRusWrUqz4z/LIQQ4sOgUcLNkJyczLFjx9i+fTuXLl0iLS0NBwcHXFxcciq+9+rRo0dMmzaNRo0a0b59+9wORwghxAdEo4QbFhbGr7/+yq5du3j69CkqlYrOnTvTs2dPSpcundMxvjf169fn+PHj7/WYPj6m7/V42mZtLR3ChBBCG16bcE+ePMn27ds5ffo0enp6ODk50aJFC77//nvatm2br5JtTqlfXz+3QxBCCJEPZJtwO3XqxD///EPlypUZOXIkrVu3xszMjLi4OG3GJ4QQQhQI2dYnhoWFYWdnh4uLC40bN1aGTxRCCCHE28s24fr4+FC1alWWLl1K586dcXd3Z+/evfKEK4QQQvwH2VYpOzg44ODgwKhRozh48CC7d+9m6tSpGBkZoVKpCAoKokaNGqhUKm3Gm+ecO5eU2yFoxNpaBxsb3dwOQwghPlhv7KVsZGREhw4d6NChAyEhIfz222/s37+fmTNn4uPjQ4sWLWjVqlW2c9EWdK6uMbkdgkZ8fEwl4QohRC56q3dCypYty7Bhw9i9ezdz5syhcuXKbN26lW+++San4hNCCCEKhLca+CKDrq4uTZs2pWnTpkRERLBv3773HZcQQghRoPynhPsyS0vL9zpMYseOHQkLC1M+q1QqChcuTK1atRgzZgxWVlY4OjqyZMkSHB0d39t5hRBCiJz0zgk3J3h4eNC6dWsgfRL44OBgZs2axeTJk1m+fDn79u3D3Nw8l6MUQgghNJcnE66JiQmWlpbK5xIlSjBw4EB+/PFHYmJi1NYJIYQQ+UG+GUhXXz99CEUdHR0cHR05e/Ys27dvx8XFhbS0NGW7Q4cO0aZNG1JSUkhMTGTBggW0atVKGZLyyZMnQPpEBo6OjqxatQpnZ2emTZtGTEwM48ePp0WLFjRv3pyxY8cSERGRK9crhBCiYNE44R44cICTJ08CcPfuXb7++muaN2/OjBkzSErK2XdR79+/j7e3Nw0bNqRQoULKcmdnZ548ecL169eVZUeOHMHZ2RldXV2WLVvG1atXWbBgAStXriQtLY2RI0eqJeiLFy+ydu1aevfuzcqVKwkLC2PFihWsWrWKp0+fsnDhwhy9NiGEEB8GjaqUN2/ejKenJ/379+eTTz5hzpw5REZG8tlnn7Fv3z6KFCnCoEGD3ltQ8+bNw9PTE4CUlBT09fVp0qRJponlLSwscHR05OjRo1SvXp24uDhOnTqFl5cX8fHxbN26ldWrV1OpUiUAJk+eTMuWLbl06RJWVlYAdOvWjY8++ghIH87S2NiYUqVKUahQISZPnszz58/f23UJIYT4cGmUcHfs2MEXX3yBm5sbERERXL58mdGjR/PFF19QpkwZNm3a9F4T7oABA3B2diYuLg4fHx/++ecfBg0ahIWFRaZtW7ZsyerVqxk2bBgnTpzA3NwcBwcHgoKCSEpKws3NTW37xMRE7t+/ryTcUqVKKet69+7NiBEjaN26NXXr1qVZs2Z89tln7+26hBBCfLg0SriPHj2iadOmAJw5cwYAJycnAMqXL6+0i74vFhYW2NjYADBjxgz69OnDmDFj+Pnnn9HTUw+5WbNmzJ49m4CAAI4cOULLli1RqVSkpKQAsGLFCkxN1eesLVKkCNHR0QAYGBgoyx0cHPjtt984ceIEJ0+eZNGiRRw4cIDly5e/1+sTQgjx4dGoDbdw4cJKgjpz5gxlypRRnhAfPHiQ5ZPn+6Kvr8/EiRMJDAzEz88v03pTU1MaNmzI0aNHOXPmDC1btgSgdOnS6OrqEhUVhY2NDTY2NhQpUoSFCxeqvef7sk2bNnH9+nXatGnDtGnT8PT05MKFC+/9C4UQQogPj0YJ19HREV9fX9auXcvRo0dp0aIFAIcPH8bHx4eGDRvmaJBVq1alQ4cO/Pzzz4SHh2da36pVK3755ReKFStGlSpVgPRXizp27Mi8efM4d+4c9+7dY/Lkydy5c0d5en7V48ePmTdvHleuXCE0NJT9+/djbW2do18ohBBCfBg0SrgjRozA0tISX19fGjVqpIwstWjRIkqXLs23336bo0ECfPvtt+jp6bF48eJM6xo3bgygPN1mGD58OA0aNGDChAn07duXhIQEFi9ejJGRUZbncHd3V0a06t69O/fu3WPBggXo6sqg/0IIId6NKioqKu3Nm2Xtn3/+wdra+n3Gk+/UqvU0t0PQiI+PKfXr62v9vIGBgVSsWFHr582PpKw0I+WkOSkrzWirnN5qpKnw8HDOnz/Pv//+S7t27YiKisLS0jJTRyYhhBBCqNM4Uy5ZsoSNGzeSkpKCSqXi448/xsvLi6dPn7J06VKKFCmSk3EKIYQQ+ZpGbbh+fn74+fnh5ubGL7/8oozU1L9/f548ecLKlStzNEghhBAiv9PoCXf79u306dOHvn37Ku+3AtStWxc3Nzd+/vnnHAswr/PxMX3zRnmAtXW+GTZbCCEKJI0Sbnh4ODVr1sxynY2NDVFRUe8zpnwlNzoiCSGEyH80euyxsrLi4sWLWa67du3aB99TWQghhHgTjZ5wO3XqxPLlyzEyMlKGeIyJieHgwYOsX7+evn375mSMQgghRL6nUcLt2bMnYWFheHt74+3tDcCQIUMAaNu2rTIQxofo3LmcnZrwbVlb62BjIwN1CCFEXqNRwlWpVIwdO5avvvqK8+fPExUVReHChalduzZ2dnY5HWOe5uoak9shqPHxMZWEK4QQeZBGCdfX15f27dsrkwC8LDQ0FD8/P8aOHZsjAQohhBAFQbYJNzQ0VPm3r68vtra2JCcnZ9ru2LFj7N69WxKuEEII8RrZJtwFCxZw8uRJANLS0pgwYUKW26WlpeX4bEGa6tixY7ZT782ZM4dmzZqpLTt79ixDhgzh7NmzWohOCCHEhyzbhDtu3DglEU2bNo0+ffpkqk7W1dXF1NSU+vXr52yUb8HDw4PWrVtnWm5mZpYL0QghhBDpsk24JUqUwMXFBYCwsDA6dOigTDqfl5mYmGBpaZnbYQghhBBqNOo05erqqvw7LS1NGUs5NTWV+Ph4Ll68iJOTU85E+B7FxMQwa9YsTpw4gaWlJR06dFBb//jxYxYuXMi5c+dQqVS0atWKYcOGYWhomEsRCyGEKCg0SriPHj1i5syZXLhwgdTU1Cy3OXPmzHsNLCfMmjWLe/fusWLFCp4+fcqUKVOUdUlJSXz77bfY2NiwfPlynj17xk8//URaWpp0CBNCCPHONEq4Cxcu5Nq1a3z++edcuXIFIyMjatSowZkzZwgKCmLOnDk5HafG5s2bh6enp9qywoUL88svv3DkyBGWLFlC5cqVgfTZjubNmwfA6dOnCQ8PZ/Xq1ZibmwMwduxYRo4cybfffoupaf6YpEAIIUTepFHC9ff3x83Nja+++opt27bx559/MnToUAYNGsSQIUP4448/8kyV8oABA3B2dlZbpqOjw/3790lJSaFixYrK8ipVqij/Dg4OxsbGRkm2ADVq1CAlJYX79+9TtWrVnA9eCCFEgaXR5AVxcXFKorK1teX27dsA6Onp0aVLF86fP59zEb4lCwsLZYCOjJ/SpUsr6zPanyE9/gxZtdNmVJ9nV40uhBBCaEqjhGtpaUlERASQPh1fdHS08tnc3JzIyMici/A9KVOmDHp6ety4cUNZlvHFAaBcuXI8ePCAZ8+eKcuuXr2Krq4uH330kVZjFUIIUfBolHA/+eQTVq5cib+/PyVKlMDa2ho/Pz+io6PZtWsXJUqUyOk4NRYbG0tERESmH5VKRdu2bVmwYAFXr17l/PnzrF69WtnP0dGRMmXKMHnyZAIDA7lw4QLz58+nZcuWWFhY5N4FCSGEKBA0asN1c3Pj5s2beHt7s2LFCgYNGsTkyZPZtGkTAGPGjMnRIN/GokWLWLRoUablPXr0YMyYMcybN49hw4ZhZmZG165dWbx4MZDezjt37lzmzp1L//79KVSoEK1bt2bw4MHavgQhhBAFkCoqKirtzZuli4iIUAaVuHTpElevXqVatWrUqVMnxwLM62rVeprbIajx8TGlfn393A5DERgYqNZRTWRPykozUk6ak7LSjLbKSaMqZV9fXx4/fqw2glOtWrXo1asXVlZWeeq1ICGEECIvktmChBBCCC0oULMFCSGEEHlVgZstSNt8fPLWCFTW1hq1EgghhNCyAjdbkLblpQ5KQggh8q63ni0IICgoiODgYOzs7ChXrlxOxCWEEEIUKK9NuCdPnmTp0qV06tSJrl27ArB48WI2btxIWloaKpWKLl265Kn3cIUQQoi8KNsGv6tXrzJ69GjS0tKUttsLFy7g5+eHg4MDa9eu5ccff2T37t3s3btXawELIYQQ+VG2T7h+fn7UrFmTJUuWKIP8//rrr6hUKiZOnEiZMmWoXLkyd+7cYefOnbRr105rQecl584l5cp5ra11sLHRzZVzCyGEeHvZJtzLly8zfPhwtRl1zp07h62tLWXKlFGW1atXj19//TVno8zDXF1jcuW8Pj6mknCFECIfybZKOTo6mmLFiimfQ0JCiIqKyjSMo56eXpYDYgghhBDif7JNuBYWFjx58kT5fO7cOVQqFfXq1VPbLjg4mKJFi+ZchEIIIUQBkG2Vcp06ddi5cyctWrQgLS2NXbt2YWRkRIMGDZRt4uLi2Lp1K7Vq1dJGrERGRuLj48Nff/3Fs2fPsLKyonXr1vTq1QsjIyOtxCCEEEL8F9km3P79+9O/f386deqESqXi8ePHuLm5YWxsDMD27dvZtm0b//zzD7NmzcrxQMPDw3F1daVUqVJMmTKFkiVLcufOHZYvX87JkydZsWKFJF0hhBB5VrYJ19bWllWrVuHn58fTp0+V5JvBx8cHQ0ND5syZQ4UKFXI80Llz51KiRAm8vLyUjlylSpWidu3adO/enVWrVsnctUIIIfKs1w58Ub58eX744Ycs161btw5LS0t0dHJ+7N7IyEj++usv5s2bp9ZrGqBw4cJ0796dDRs24O7uTkBAAHPnziUwMBB7e3scHR25ePEiK1asYM+ePcp/M7i7u1OzZk0GDRrElClTMDU15enTpxw/fpzixYvTr18/ZYhLIYQQ4r/6z9myRIkSWkm2ALdu3SI1NZVq1aplub5WrVo8ffqUu3fv4uHhgb29PevXr6d169asWbPmrc61fft2Zf8GDRowe/Zsnj179h6uQgghxIcsX0wtEx0dDaQ/zWbFzMwMgD///BNDQ0NGjx5NuXLl6Nq1K87Ozm91rgoVKtC7d2/Kli3LoEGDSEhI4O7du+92AUIIIT54+SLhZiTUl19Tetm///4LwPXr16lUqZJatXONGjXe6lylS5dW/m1qmj71nrxnLIQQ4l3li4RbtWpVdHV1uXnzZpbrb9y4gYWFBaVLlyYtLU1t3aufX5WSkqL2WV9fptsTQgjx/uWLhGthYYGzszO+vr6ZnjZjYmLYuHEj7du3p2LFigQGBqol0ZeTtL6+PrGxsUoSTktL49GjR9q5CCGEEB+0fJFwAYYPH05cXBxDhw7F39+ff/75h1OnTjFw4ECsrKxwdXWlVatWxMXFsWDBAkJCQti5cyeHDh1CpVIB6U/KsbGxrFu3jtDQUBYvXqy0DwshhBA5Kd8kXEtLS1atWoW9vT1Tpkzhyy+/ZMGCBTRr1oyVK1diZGREoUKFmD9/PpcvX+brr79m7969tG3bVmnTtbGxwcPDg02bNtGzZ0+SkpJo2bJlLl+ZEEKID8Fr38PNaywsLBgxYgQjRozIcn1oaCipqals2LBBWTZnzhwsLS2Vzz169KBHjx5Z7j9p0qRMy86ePfuOUQshhBD56AlXE7GxsQwePJgjR44QFhbGsWPH+P3339/61SAhhBDifctXT7hvYm9vz5gxY1i2bBmPHz/GysoKDw8PGjdunNuhCSGE+MAVqIQL0KlTJ7Uxn3Oaj4+p1s71MmvrAlU5IYQQBV6BS7jaVr++vLcrhBDizeQxSQghhNACSbhCCCGEFkjCFUIIIbRA2nDf0blzSTl6fGtrHWxsdHP0HEIIIXKeJNx35Ooak6PH9/ExlYQrhBAFgFQpCyGEEFogCVcIIYTQgnyVcB0dHTONbXzx4kWcnJyYN29eLkUlhBBCvFm+SrivCgwMZNSoUbRs2ZJRo0bldjhCCCFEtvJtwg0NDcXDwwNHR0cmTJigzHkrhBBC5EX5MuFGRkYybNgwKlSowLRp09DV/V8v3oiICL777jucnZ355JNP6NmzJ/7+/gA8evQIR0dHjh49yueff07z5s0ZNWoUUVFRyv5XrlzB1dWVJk2a0LFjR7Zu3artyxNCCFEA5buEGxsbi4eHB48fP2batGno66uPZTxp0iSSk5Px9fVl/fr1WFlZMXv2bLVt1qxZw9SpU5k/fz7Xr19n/fr1AAQHBzN48GBq167N+vXrcXV1xcvLi8OHD2vt+oQQQhRM+S7hzpkzBwB9fX3Wrl2bab2TkxNjxozB1taW8uXL88UXXxAcHExaWpqyjaurK9WrV6dOnTq0bt2aGzduALBz504qVKjAt99+S9myZXFxcaFr165KQhZCCCH+q3w38IWZmZny1Dlv3jyaN29OjRo1lPVdunTh4MGDXLlyhZCQEG7dugVASkqKsk3p0qWVf5uYmJCcnAzAvXv3qFatmtr5HBwc2LZtW05ekhBCiA9AvnvCHT58OBYWFnTp0oUaNWowdepUEhISAEhNTWXIkCFs2LABKysrevbsyaRJkzId49Vq6AwGBgaZlqWkpKglayGEEOK/yHcJN6ODlEqlYvz48YSFhbFy5UogvQ324sWLeHl50b9/fxo3bsyTJ080PratrS3Xr19XW3b16lXKlCnz/i5ACCHEBynfJdyX2dra0rdvXzZu3MiVK1cwNTVFR0eHQ4cOERYWxpEjR/D29gYgMTHxjcfr0qULd+7cYdmyZYSEhLB37162bdvGl19+mdOXIoQQooDL1wkXoG/fvpQrV45p06Zhbm7OuHHj8PPzo1u3bqxZs4ZRo0ahp6fH7du333gsKysrPD09OXPmDF9//TWrV6/Gw8ODTp065fyFCCGEKNBUUVFRaW/eTGSnVq2nOXp8Hx9T6tfPus05PwgMDKRixYq5HUa+IGWlGSknzUlZaUZb5ZTvn3CFEEKI/EASrhBCCKEFknCFEEIILch3A1/kNT4+pjl6fGtr+U4khBAFgSTcd5SfOzQJIYTQHnl8EkIIIbRAEq4QQgihBVKl/I7OnUvK0eNbW+tgY6P75g2FEELkaZJw35Gra0yOHt/Hx1QSrhBCFABSpSyEEEJogSRcIYQQQgvyVZVyx44dCQsLA9Kn5zMyMqJixYp88803NGzY8I37X7hwgUGDBnHq1Cn09PQICAggNjaW2rVr53ToQgghPnD57gnXw8ODffv2sWfPHlavXo2DgwMjR47k7Nmzb32sMWPGEBISkgNRCiGEEOryXcI1MTHB0tKS4sWLY2dnx7Bhw2jVqhWenp65HZoQQgiRrXyXcLPSqVMn7t69y4MHD4iJiWHy5Mk0b96cNm3aMGPGDGJjYzPt4+7uTlhYGDNmzGDKlCkA/PXXX/Tq1YvGjRvTvHlzxo8fT0xMzvZCFkII8WEoEAnX1tYWgODgYKZNm8azZ8/w9vbG09OTkJAQpk6dmmmf2bNnU6JECTw8PBg1ahShoaF89913fP7552zZsoWZM2dy/vx5duzYoe3LEUIIUQDlq05T2TE1TZ9A4M6dO/zxxx8cPHgQc3NzACZPnkzHjh15/Pix2j7m5ubo6upiYmKCqakpkZGRjBw5ks6dOwNQqlQpHB0dCQoK0u7FCCGEKJAKRMLNqDKuWLEiaWlpdOjQIdM2ISEh6OpmP4BEmTJlMDAwYPXq1QQFBSk/rVq1yrG4hRBCfDgKRMK9c+cOAA8ePMDY2JgNGzZk2sbS0pIbN25ke4yAgABcXV1xcnKiVq1afP3112zatCnHYhZCCPFhKRBtuLt27aJy5co0bNiQuLg4UlNTsbGxwcbGBoCFCxdm2XHqZb///jsODg5Mnz6dL774gqpVq/LgwQPS0tK0cQlCCCEKuHz3hBsbG0tERAQAUVFR7Nq1i0OHDrFkyRJsbW1p2LAhkyZNYvTo0RgYGDB79mxSU1OxtLTM9M5toUKFCAkJ4dmzZ5ibmxMUFMS1a9cwMzNjx44d3LhxA2tr69y4TCGEEAVMvku4ixYtYtGiRQAULVqUSpUqsWzZMmrVqgXAlClTmD9/PkOHDkWlUuHo6Mjo0aOzPNaXX37J4sWLefToEZMnT+b27dsMHToUfX19ateuzYABA9i/f7+2Lk0IIUQBpoqKipI603dQq9bTHD2+j48p9evr5+g5clJgYCAVK1bM7TDyBSkrzUg5aU7KSjPaKqcC0YYrhBBC5HWScIUQQggtkIQrhBBCaEG+6zSV1/j4mObo8a2t5TuREEIUBNJpSgghhNACeXwSQgghtEASrhBCCKEFknCFEEIILZCEK4QQQmiBJNy3kJiYyIwZM3B2dqZNmzasW7cut0PSmv379+Po6Kj2kzFkZlhYGEOHDqVJkyZ07dqVU6dOqe17/vx5vv76a5ycnHB3d+fBgwdq6zdv3oyLiwvNmjVj6tSpxMXFae263qfExES6d+/O2bNnlWU5WTb59X7MqpxmzJiR6f56ebauD62cHj58yMiRI3F2dsbFxYWFCxeSkJAAyD31steVU168pyThvoXFixdz5coVlixZwvfff8/PP//MwYMHczssrQgODqZZs2bs27dP+Zk0aRJpaWmMHj0ac3Nz1qxZQ7t27Rg3bhyhoaEAPH78mNGjR9OmTRvWrl1LsWLFGD16NKmpqQAcO3aMFStWMHbsWJYtW8aNGzdYuHBhLl7pf5OQkMDEiRMJCgpSluV02eTH+zGrcoL0+2vYsGFq91fnzp2BD6+ckpKSGDVqFAYGBvj6+jJ16lT+/PNPli9fLvfUS15XTpA37ylJuBqKi4vjt99+Y+TIkVSpUoWmTZvSs2dPtm7dmtuhaUVwcDAVKlTA0tJS+SlcuDDnz5/n/v37fP/995QvX54+ffrg4ODArl27ANi5cycVK1akd+/elC9fnh9++IHw8HDOnz8PwKZNm+jatStNmjShatWqfPfdd+zdu5cXL17k5uW+laCgIPr378/Dhw/Vludk2eTH+zG7coL0+6tKlSpq95eRkRHw4ZXT9evXefDgAT/++CO2trbUqVOHgQMHsn//frmnXvK6coK8eU9JwtVQYGAgiYmJ1KxZU1lWq1Ytbty4QXJyci5Gph3BwcGULVs20/Jr165hb2+PiYmJsqxmzZpcvXpVWV+7dm1lnZGREZUqVeLq1aukpKRw8+ZNtfXVq1cnJSWF27dv5+DVvF+XLl3i448/ZvXq1WrLc7Js8uP9mF05RUREEB0dneX9BR9eOZUtW5aFCxdSqFAhZZlKpSIpKUnuqZe8rpzy6j0lI01pKCIiAjMzMwwNDZVlRYsWJSkpiaioKCwtLXMxupyVlJTEw4cPOXHiBN7e3qSmpuLs7IybmxsREREUL15cbfuiRYsSHh4OpJfbq2WTsf758+ckJCSo7a+np4e5ubmyf37w+eefZ7k8J8tGX18/392P2ZVTcHAwurq6rFixgtOnT2Nubs7XX3+Ni4sL8OGVU5EiRXB0dFQ+p6amsnXrVmrVqiX31EteV0559Z6ShKuh+Ph4DAwM1JZlfE5MTMyNkLTm/v37pKSkYGxszMyZMwkNDWX+/Pm8ePGChIQE9PXVpw80MDAgKSkJyLrc9PX1SUxMVDo3vLq/vr6+sn9+Fh8fn2Nlk5KSUmDux3v37gFQsWJFunXrhr+/PzNnzsTIyIgWLVp88OW0cOFCbt++zZo1a9i4caPcU9l4uZz8/f2BvHdPScLVkIGBQabCzPic0S5QUNnZ2XHw4EEsLCwAsLe3Jy0tjYkTJ9KpUydiY2PVtk9MTFTKJKtyS0pKwtzcXLlJX02uSUlJat8e8ytDQ8McKxuVSlVg7scvvviCVq1aYW5uDqT/kbx//z7bt2+nRYsWH2w5paWlsWDBArZt28asWbOws7OTeyoLWZVT+fLl8+Q9JW24GipRogTPnz9X+yU8efIEAwMDzMzMcjEy7chIthnKlStHcnIylpaWPHnyRG1dZGQkxYoVA9LL7dX1T548wdLSEnNzcwwNDdXWJycn8+zZszxXffVfFC9ePMfKpiDdjyqVSvnDmMHW1pZ///0X+DDLKTU1lWnTprF9+3ZmzJhB06ZNAbmnXpVdOeXVe0oSrobs7e3R19fnypUryrLLly9TuXJl9PQKdkXBsWPHaNOmjdoNFhAQQOHChalevToBAQFq76hdunSJ6tWrA+mdDS5fvqysi4+PJyAggOrVq6Ojo0OVKlW4dOmSsv7q1avo6upSqVKlnL+wHJaTZVOQ7seFCxcyYsQItWW3b9+mXLlywIdZTgsXLuTAgQPMnj2b5s2bK8vlnlKXXTnl1XtKEq6GjIyM+Oyzz5gzZw7Xr1/n+PHjbNiwgW7duuV2aDmudu3apKWlMWPGDEJCQjhx4gSLFy+mZ8+e1K1bF2tra6ZMmcLdu3dZu3Yt165do1OnTgC0b9+e69evs3r1aoKCgpg+fTpWVlbUr18fSK9O3LhxI8eOHePGjRvMmTOH9u3bq/U8zK/q1KmTY2VTkO7HJk2acPr0aTZv3szDhw/ZunUr+/bto2fPnsCHV05Xr17ll19+wc3NjSpVqhAREaH8yD31P68rp7x6T8n0fG8hPj6eWbNmcezYMUxMTOjRowc9evTI7bC04vbt2yxcuJAbN25gampK586d+eabb1CpVDx48IDp06dz/fp1SpcuzYgRI2jQoIGy76lTp/D09OSff/6hevXqTJgwgY8++khZv3btWjZt2kRiYiLNmjVj7NixebrN6HUcHR1ZsmSJ0nsyJ8smP9+Pr5bToUOHWLVqFQ8fPqR06dK4u7urPbF8SOW0aNEi/Pz8slx36tQpwsLC5J7izeV07NixPHdPScIVQgghtECqlIUQQggtkIQrhBBCaIEkXCGEEEILJOEKIYQQWiAJVwghhNACSbhCCCGEFkjCFVrl7u5Ow4YNlenEXuXq6oq7u7tWYnn06BGOjo7s3LlTK+d7G+Hh4Xz77bc4OTnRokUL7t+/n+22MTExrFq1ih49etCsWTNatmyJm5sbhw8f1mLE7y7j9/HyT6NGjWjbti3jxo3j2rVrattfuHABR0dHzp49+95icHd3x9XV9b0dT9vy8j0tZPICkQtSUlKYMmUKGzZsyLcDXOS0jRs34u/vz8SJEylRogSlSpXKcrv79+/j4eFBQkICX375JZUqVSIhIYGjR48yfvx4rl69mmmIu7yud+/eNG7cGEgfFD48PJytW7fi6urKrFmzlPFyK1WqhLe3NxUqVMjNcIXQmCRcoXWmpqbcv3+fZcuWMXLkyNwOJ0+Kjo6mWLFiyvydWUlOTmb8+PGoVCrWrVunNuFD8+bNKV68OBs2bKBx48bKkHX5wUcffUStWrXUlrVu3RpXV1emTZtG3bp1MTU1xdTUNNN2QuRlUqUstM7Ozo6OHTuyefNmZd7K7GRVxffgwQMcHR3Zs2cPoF61mFEN2759e3799VciIyOZOHEizZo1o23btixZsoS0NPXB1Z48ecLo0aNxcnLCxcWFFStWkJycrLbNX3/9Rd++fXFycqJ169bMmjWLmJgYZf2ePXto2LAhe/bs4bPPPqNFixZcv349y2uKiYlh4cKFdO7cmcaNG9OtWze1KsCOHTuyZ88e/v33XxwdHZkyZUqWxzl16hQBAQEMGjQoy9mV+vfvT+fOndUGVPf392fo0KE4OzvTqFEjOnbsiLe3NykpKco2586dY8CAATRr1ozmzZszdOhQbt68qXbsK1euMGjQIJo0aYKzszMTJ05UZmLJsG3bNrp164aTkxNt2rRhypQpmWZo0ZS+vj4DBw4kOjqaI0eOAJmrlBMSEpg/fz7t27fnk08+4fPPP8fb21vtd/nixQsWLFiAi4sLTk5O9OzZUzneyzZt2kTHjh1p3LgxvXr14u+//1Zbr0k5Ojo6smrVKvr374+TkxOLFy9Wys7NzY0mTZrQoUMHtmzZwuDBg9V+z4mJiSxZskS5lm7duin3+8t27dpF165dcXJyol+/fgQFBf2n8hXaIQlX5Irhw4djbW3NtGnT1GY+eRcTJ07k448/Zs6cOdjY2DB79mwGDRpEiRIl+Omnn2jUqBHr1q3j0KFDavv5+vpSqFAhZs6cyWeffcaaNWtYvny5sv7QoUOMHj0aa2trZsyYgaurK4cPH8bDw0Ptj3lKSgorV65kzJgxDBkyJMsZj+Lj43F1dWXv3r10796d2bNn4+DgwIwZM/D19QVg5syZNGrUiCJFiuDt7U2/fv2yvN6TJ0+iq6vLJ598kuV6U1NTvv/+e2rXrg2kz/A0ePBgTExMmDp1KnPmzKFGjRr4+vpy8OBBAB4+fMjIkSMpW7Yss2bN4scff+Tp06cMHTpUmYf18uXLSjv7lClTGDFiBFevXmXgwIHKl5D9+/ezYMEC2rVrx/z583F3d+evv/5i0qRJb/5FZqN+/fro6OiozfLysvnz53Ps2DEGDhyIp6cnbdq0YdWqVaxbtw5In8rNw8OD3bt30717d+bMmUOlSpUYP348J0+eVI5z7do19u3bx9ChQ5k2bRoJCQmMGTOGqKgojcsxw6pVq2jQoAEzZsygZcuW3Lt3j8GDB5OamsqUKVPo378/q1evVpt5BmDcuHFs2bKFLl26MGfOHGrXrs3UqVPZtm2bss2OHTuYPn06tWrVYtasWTRs2JAJEyb85/IVOU+qlEWuMDExYeLEiQwZMgQvLy/Gjh37zsds27Ytffr0UY4/YMAA7OzsGDZsGAANGzbkyJEjXL58mVatWin71atXj6lTpwLQuHFj4uPj2bJlC7169cLc3JzFixdTp04dZs2apexTsWJFXF1dOXLkCK1bt1aW9+nTR22A9Fft2bOHu3fvsmLFCurUqQPAJ598QkpKCmvWrKFLly5UrVqVIkWKoK+v/9oq0/DwcMzNzTWeWSkgIIA6derw008/oaurC0CjRo04deoUFy5coG3btty8eZOEhATc3d0pXrw4kD738e7du4mJicHExIQlS5ZQqlQpFi9ejL6+PpA+o1TXrl3Ztm0bffv25dKlS5QuXZpevXqhUqkAKFq0KLdu3SItLU1Z9jb09PSwsLDI9in50qVLNGrUSKmGd3R0xMTEhCJFigBw5swZLl++zE8//UTLli2B9Hvin3/+4e+//1a+uOjq6rJ48WJlP0NDQ4YPH87Vq1dxcnLSqBwzVKpUCTc3N+XzpEmTMDExwcvLC2NjYwDKly/PgAEDlG3Onj3LyZMnmTRpEu3atQPS75HU1FSWL1+Oi4sLhoaG+Pr60qRJE8aPH69so6ury8qVK9+6bIV2yBOuyDX169enS5cubN++/b30NH05OWVUsTo4OCjLdHR0MDMz4/nz52r7vZx8Ib39MyEhgStXrnD//n0eP35Ms2bNSE5OVn6qVauGpaVlpqrGN3Xg8ff3p0SJEkqyzdCuXTsSExOz7b2dFV1dXVJTUzXe3sXFhaVLl5KamkpQUBB//vknvr6+pKSkKHMd16hRA2NjY/r168eiRYv4+++/KVWqFMOGDcPKyor4+HiuXr1K48aNUalUSnlYWVlRqVIlpTw+/vhjQkJC6NOnDz///DM3b97EyckJNze3/5RsX5bd/hm9c0eMGMG2bdsIDQ2lR48efPbZZwBcvHgRHR2dTF+Ili5dqtaXoFy5ckqyBShdujSQ3q6uaTlmsLOzU/t84cIFGjZsqCRbSL9HS5YsqXw+d+4ckD5t4cv3XLNmzXj+/Dk3btzg/v37RERE0KxZM7Xjt2nTJvuCE7lOnnBFrho6dCinT59m+vTpbNy48Z2OldWT3qu9oLP6Y12sWDG1z0WLFgXS/8BmVCPOnz+f+fPnZ9r31XbLV4/1qujoaOX4We336peB17G2tubEiRPExsZiYmKS5TZhYWFYWVmho6NDQkICCxYsYN++fSQmJlK6dGlq1KiBnp6e0q5tbW2Nj48P69atY9euXfj5+VGoUCHatWvH8OHDiY6OJjU1lY0bN2b5+7KxsQHSv7TMnj2bbdu24evry/LlyylRogT9+vWjS5cuGl/jyxISEnj27BklSpTIcv3w4cMpWbIk+/btY+7cuaSlpWFvb8+oUaOoXbs2UVFRmJmZvXGS8JeTIaR/UQOUMtKkHDO8ej88ffpULZlntV3GPefs7JxlfOHh4co1WFhYqK3Lqi1f5B2ScEWuMjY25ocffmDQoEEsXLgw03qVSqXWEQVQ2hKz2va/yHhyyZBRZVm0aFFMTU0BGDx4cJY9fbNLdNkxMzPj3r17mZZnJO5X/4C+ToMGDdiyZQunTp1SqkhfFh8fz1dffUWjRo2YMWMG8+fP59ChQ/z000/Ur19fSSwvV4kD2NvbM336dFJSUrh+/Tp79+5l69atlCxZks8//xyVSkW3bt2yfJoyMDBQ/t28eXOaN29OfHw8586dY+PGjcyePZsqVapQtWpVja8zg7+/PykpKZlqBzLo6ekp85JGRkZy6tQpVq1axZgxY/j9998pXLgwz58/Jzk5WS3p3rlzh7i4OGrUqKFRHJqWY1ZKlCiRZZV4ZGQkZcuWBaBw4cIYGhpmWzVcqlQp5Z599VgZyVrkTVKlLHJdnTp16NatG7t27eLOnTtq60xMTAgPD1d7crhw4cJ7Pf/x48fVPh84cABDQ0OqV69OuXLlKFq0KKGhoVStWlX5KVWqFF5eXm9VBQzp1xoeHp6pd/b+/fvR1dWlevXqGh+rQYMGVKhQgRUrVhAZGZlp/bJly3jx4gXt27cH0js71a5dmyZNmihJ4saNGzx9+lSpmt60aRMdOnQgISEBXV1dHBwc+O677yhUqBBhYWEUKlSIypUrExwcrFYeFStWxNfXV+l8NH78eEaPHg2k1zI4OTkxdOhQIP2p+20lJyezatUqihYtmqkaFdK/XHTp0oX169cD6V+WXFxc6NKlC9HR0cTGxlKrVi1SUlL466+/1PadPXs2y5Yt0zgWTcoxO3Xq1OHMmTPEx8cry27dusWjR4/UtklISCA5OVmtjB88eMDy5cuJj4+nTJkylCxZMlMHwD///FPj6xDaJ0+4Ik/49ttvOXXqVKYRlZycnDh+/DizZ8/m008/5datW2zduvWd2wFfduLECRYsWECjRo04c+YMO3fuZMCAAZiZmQHpT7fTp08H0tvV4uLiWLduHQ8fPnzrzl4uLi5s3bqVcePG4erqSunSpTl+/Di7d++mX79+mJuba3wsPT09Jk+ezLBhw+jduzddu3bF3t6e6Oho9u/fz4kTJ+jTpw8NGzYEoFq1ahw6dIgtW7ZQrlw5AgMDWbt2LSqVSkkA9erVY+nSpYwaNYovv/wSAwMD9u/fT3x8vFLFOXjwYDw8PPjuu++UDkKbN2/m4sWLfP3118pxZs2axdy5c5WOaOvXr8fCwuKN7wQ/fPiQS5cuAZCUlMSjR4/YuXMnAQEBzJkzJ8vBUoyMjKhSpQq+vr7o6OhQsWJFwsLC8PPzo169elhYWPDJJ59Qo0YNpk+fTnh4OGXKlOHw4cNcu3aNRYsWaVzumpRjdvr27cvBgwcZOnQoPXr0ICYmhpUrV6Kjo6NUXTdq1Ii6desyduxY+vbtS/ny5bl9+zY+Pj44ODhgbW0NpDfHTJgwgYkTJ9KmTRuCgoKULxwib5KEK/IEIyMjfvzxR7UenZCeoB49esTu3bvZu3cv1atXx9PTk169er23c48cOZIjR46wY8cOihUrhoeHh5I4ANq3b4+JiQnr1q1j3759GBkZUaNGDSZMmICtre1bncvIyIiVK1eydOlSVq9eTUxMDGXKlGH8+PF06tTprWO3t7dn7dq1+Pn5sWvXLsLDwzE2NqZ8+fLMmzePJk2aKNt6eHiQlJSEj48PSUlJlCpVin79+hESEsIff/xBcnIyFStWZMGCBaxatYqpU6eSmJhIxYoVmTt3rlKV6+joyJIlS/Dx8eGHH35AT08Pe3t7Fi1aRL169QD4/PPPSU1NZfv27ezevRs9PT1q167NxIkTlS8y2Vm3bp3yKo+hoSHFixenVq1ajB8/nooVK2a734QJE1i5ciVbtmwhIiICc3NzmjZtyrfffgukdzJbtGgRy5Yt4+eff+bFixfY2dmxYMECHB0dNS5zTcoxu3ZiGxsbFi9ejJeXFxMnTqRo0aL0798fX19f5WlZR0cHT09PvL298fPzIzIyEktLS7p06aL2TnqLFi3Q0dHB19eX7777DhsbG6ZOnYqHh4fG1yK0SxUVFZX25s2EEEK8qzNnzqCvr0/dunWVZdHR0bRp04bhw4fTtWvXXIxO5DR5whVCCC25c+cOK1aswN3dnUqVKvHs2TM2bdqEmZlZptfTRMEjCVcIIbTk66+/JjExkZ07d/L48WOMjY2pW7cuU6dOfase6iJ/kiplIYQQQgvktSAhhBBCCyThCiGEEFogCVcIIYTQAkm4QgghhBZIwhVCCCG0QBKuEEIIoQX/B8p/v8Sg8tyFAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "covid_disch_plot = sns.barplot(x='Number of Cases Discharged', y='States Affected', data=covidnig_10Discharged, color = 'blue').set_title('Top 10 covid Discharges')\n" + ] + }, + { + "cell_type": "markdown", + "id": "0ad7bc8a", + "metadata": {}, + "source": [ + "Lagos showing the highest number of discharges is because it has a high population figure, hihest number of confirmed cases and better health management system." + ] + }, + { + "cell_type": "markdown", + "id": "73ee3cb3", + "metadata": {}, + "source": [ + "TODO D - Plot the top 10 Death cases" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "5d9f17bb", + "metadata": {}, + "outputs": [], + "source": [ + "#Plotting the top 10 Death cases" + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "ab31af8a", + "metadata": {}, + "outputs": [], + "source": [ + "#Generating a plot that shows the Top 10 states in terms of death cases. Hint - Sort the values\n", + "covidnig_10Deaths = covidnig.sort_values('Number of Deaths', ascending = False)\n", + "covidnig_10Deaths = covidnig_10Deaths.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "05873dbe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "covidngdeaths_plot = sns.barplot(x='Number of Deaths', y='States Affected', data=covidnig_10Deaths, color = 'blue').set_title('Highest Death Cases')\n" + ] + }, + { + "cell_type": "markdown", + "id": "204b639c", + "metadata": {}, + "source": [ + "Lagos having the highest death cases also due to its high population and number of confirmed cases." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8dea2020", + "metadata": {}, + "outputs": [], + "source": [ + "#Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "de574c85", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Lat 9.0820\n", + "Long 8.6753\n", + "1/22/20 0.0000\n", + "1/23/20 0.0000\n", + "1/24/20 0.0000\n", + " ... \n", + "8/18/22 262748.0000\n", + "8/19/22 262748.0000\n", + "8/20/22 262912.0000\n", + "8/21/22 262912.0000\n", + "8/22/22 262912.0000\n", + "Name: Nigeria, Length: 946, dtype: float64" + ] + }, + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#extracting data for confirmed cases in Nigeria\n", + "confirmed_nig = JH_confirmed_global.groupby('Country/Region').sum().loc['Nigeria']\n", + "confirmed_nig" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "eb9f4215", + "metadata": {}, + "outputs": [], + "source": [ + "TotalConfirmed=JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "7658da46", + "metadata": {}, + "outputs": [], + "source": [ + "TotalRecoveries=JH_Daily_Recovery_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "9a3442af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recovered Cases 39492087\n", + "dtype: int64" + ] + }, + "execution_count": 96, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalRecoveries" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "1a7e95d0", + "metadata": {}, + "outputs": [], + "source": [ + "TotalDeaths = JH_Daily_Deathsdf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "1b6acec0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Country/Region AfghanistanAlbaniaAlgeriaAndorraAngolaAntarcti...\n", + "Death Cases 3210225599\n", + "dtype: object" + ] + }, + "execution_count": 98, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalDeaths" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "30b584e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Confirmed Cases 135384240\n", + "dtype: int64" + ] + }, + "execution_count": 99, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalConfirmed" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "4bb78c77", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "Totaldeaths=JH_Daily_Deathsdf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "b03e0e6d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
total
Confirmed Cases134858416
Recovered Cases39492087
Death Cases1768099
\n", + "
" + ], + "text/plain": [ + " total\n", + "Confirmed Cases 134858416\n", + "Recovered Cases 39492087\n", + "Death Cases 1768099" + ] + }, + "execution_count": 101, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Getting a dataframe for total daily cases\n", + "z = np.array([134858416, 39492087, 1768099])\n", + "df2 = pd.DataFrame(z, columns=['total'], index=[\"Confirmed Cases\", \"Recovered Cases\", \"Death Cases\"])\n", + "df2" + ] + }, + { + "cell_type": "markdown", + "id": "2ad89fb5", + "metadata": {}, + "source": [ + "TODO E - Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "c134d84c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Confirmed Cases')" + ] + }, + "execution_count": 102, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for confirmed cases in Nigeria using seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Confirmed_Nigeriadf , x = 'Date', y = 'Confirmed Cases').set_title('Daily Total Confirmed Cases')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9b4c5b23", + "metadata": {}, + "outputs": [], + "source": [ + "The apparent increase in daily confirmed cases are cummulative values" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "fb51b47b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Recoveries')" + ] + }, + "execution_count": 103, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for Recovered cases in Nigeria using seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Recovery_Nigeriadf , x = 'Date', y = 'Recovered Cases').set_title('Daily Total Recoveries')" + ] + }, + { + "cell_type": "markdown", + "id": "d65ffa95", + "metadata": {}, + "source": [ + "Increased daily recovery cases were recorded. These records again were cummulative values. No record of recovery in Nigeria was recorded from 2021-09 because only death cases were recorded as cummulative lac confirmed cases increased as time of data retrieval in August 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "b7211359", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Deaths')" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for death cases in Nigeria using a seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Deathsdf , x = 'Date', y = 'Death Cases').set_title('Daily Total Deaths')" + ] + }, + { + "cell_type": "markdown", + "id": "906c6d18", + "metadata": {}, + "source": [ + "Record for daily total deaths were cummulatively increasing as at the time of data retrieval in August 2022." + ] + }, + { + "cell_type": "markdown", + "id": "104f09fa", + "metadata": {}, + "source": [ + "TODO F -\n", + "\n", + ">Determine the daily infection rate, you can use the Pandas diff method to find the derivate of the total cases.\n", + ">Generate a line plot for the above" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "d57cb913", + "metadata": {}, + "outputs": [], + "source": [ + "#Determine the daily infection rate, using the Pandas diff method to find the derivate of the total cases.\n", + "JH_Daily_Confirmed_Nigeriadf['Infection Rate'] = JH_Daily_Confirmed_Nigeriadf['Confirmed Cases'].diff()" + ] + }, + { + "cell_type": "markdown", + "id": "c974e000", + "metadata": {}, + "source": [ + "TODO J -\n", + "\n", + ">Provide more analyses by extending TODO G & H. Meaning, determine relationships between more features.\n", + ">Provide a detailed summary of your findings." + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "2e78df9a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateConfirmed CasesInfection Rate
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\n", + "
" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "0 2020-01-22 0 NaN\n", + "1 2020-01-23 0 0.0\n", + "2 2020-01-24 0 0.0\n", + "3 2020-01-25 0 0.0\n", + "4 2020-01-26 0 0.0\n", + ".. ... ... ...\n", + "939 2022-08-18 262748 84.0\n", + "940 2022-08-19 262748 0.0\n", + "941 2022-08-20 262912 164.0\n", + "942 2022-08-21 262912 0.0\n", + "943 2022-08-22 262912 0.0\n", + "\n", + "[944 rows x 3 columns]" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Checking if new data has been created\n", + "JH_Daily_Confirmed_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "edf41ce5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 109, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Generating a line plot for daily infection rate in Nigeria from global data\n", + "plt.figure(figsize = (20,10))\n", + "sns.lineplot(x = 'Date', y = 'Infection Rate', data = JH_Daily_Confirmed_Nigeriadf)" + ] + }, + { + "cell_type": "markdown", + "id": "3aa2ff9d", + "metadata": {}, + "source": [ + "TODO G -\n", + "\n", + ">Calculate maximum infection rate for a day (Number of new cases)\n", + ">Find the date" + ] + }, + { + "cell_type": "markdown", + "id": "ce9ddd7c", + "metadata": {}, + "source": [ + "#Calculating maximum infection rate for a day (Number of new cases)\n", + "#Find the date\n", + "Highest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].max()" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "8baf6f59", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6158.0" + ] + }, + "execution_count": 111, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Highest_infection_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "d0baa6e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
DateConfirmed CasesInfection Rate
7002021-12-222314136158.0
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" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "700 2021-12-22 231413 6158.0" + ] + }, + "execution_count": 112, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == 6158.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "fe6fc629", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-30.0" + ] + }, + "execution_count": 113, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Calculating minimum infection rate for a day (Number of new cases)\n", + "Lowest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].min()\n", + "Lowest_infection_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "39a3618a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateConfirmed CasesInfection Rate
8122022-04-13255633-30.0
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" + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "812 2022-04-13 255633 -30.0" + ] + }, + "execution_count": 114, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date for minimum infection rate\n", + "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == -30.0]" + ] + }, + { + "cell_type": "markdown", + "id": "4adb27f6", + "metadata": {}, + "source": [ + "TODO H - Determine the relationship between the external dataset and the NCDC COVID-19 dataset. Here you will generate a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. From the graph, explain your observation.\n", + "Steps\n", + "\n", + ">Combine the two dataset together on a common column(states)\n", + ">Create a new dataframe for plotting. This DataFrame will contain top 10 states in terms of confirmed cases i.e sort by confirmed cases. Hint: Check out Pandas nlargest function. This tutorial can help out\n", + ">Plot both variable on the same axis. Check out this tutorial" + ] + }, + { + "cell_type": "markdown", + "id": "d06167ae", + "metadata": {}, + "source": [ + "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset. \n", + "# Will generate and explain a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. " + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "a9211792", + "metadata": {}, + "outputs": [], + "source": [ + "#Combine the two dataset together on a common column(states)\n", + "NCDC_external = covidnig_rn.merge(covid_external, on = 'states', how = 'inner')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "609028d1", + "metadata": {}, + "outputs": [], + "source": [ + "#Obtain top 10 Lab confirmed cases fro external data using df.nlargest()\n", + "Top10_NCDC_external = NCDC_external.nlargest(10, 'No. of Cases (Lab Confirmed)')" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "9582ba5f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statesNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
16Abia980.025.0945.010South East41900000.20.90.60.10.30.90.20.01.14
17Osun979.020.0937.022South West52520000.00.70.40.40.00.80.10.21.06
18Bauchi897.0108.0775.014North East72700000.80.10.20.80.80.20.80.80.85
19Borno778.037.0705.036North East66510000.90.30.11.01.00.10.70.90.89
20Imo734.061.0661.012South East60180000.41.00.90.00.40.90.40.01.12
21Benue515.044.0460.011North Central63760000.50.70.50.70.40.40.30.50.91
22Bayelsa497.055.0421.021South South26060000.50.80.60.10.90.50.20.71.00
23Ekiti405.024.0375.06South West35930000.30.80.30.50.20.80.10.41.03
24Akwa Ibom395.044.0342.09South East60930000.70.80.70.60.80.80.50.11.01
25Jigawa386.057.0318.011North West64350000.90.40.00.70.60.50.90.80.92
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" + ], + "text/plain": [ + " states No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "16 Abia 980.0 25.0 \n", + "17 Osun 979.0 20.0 \n", + "18 Bauchi 897.0 108.0 \n", + "19 Borno 778.0 37.0 \n", + "20 Imo 734.0 61.0 \n", + "21 Benue 515.0 44.0 \n", + "22 Bayelsa 497.0 55.0 \n", + "23 Ekiti 405.0 24.0 \n", + "24 Akwa Ibom 395.0 44.0 \n", + "25 Jigawa 386.0 57.0 \n", + "\n", + " No. Discharged No. of Deaths region Population \\\n", + "16 945.0 10 South East 4190000 \n", + "17 937.0 22 South West 5252000 \n", + "18 775.0 14 North East 7270000 \n", + "19 705.0 36 North East 6651000 \n", + "20 661.0 12 South East 6018000 \n", + "21 460.0 11 North Central 6376000 \n", + "22 421.0 21 South South 2606000 \n", + "23 375.0 6 South West 3593000 \n", + "24 342.0 9 South East 6093000 \n", + "25 318.0 11 North West 6435000 \n", + "\n", + " Overall CCVI Index Age Epidemiological Fragility Health System \\\n", + "16 0.2 0.9 0.6 0.1 0.3 \n", + "17 0.0 0.7 0.4 0.4 0.0 \n", + "18 0.8 0.1 0.2 0.8 0.8 \n", + "19 0.9 0.3 0.1 1.0 1.0 \n", + "20 0.4 1.0 0.9 0.0 0.4 \n", + "21 0.5 0.7 0.5 0.7 0.4 \n", + "22 0.5 0.8 0.6 0.1 0.9 \n", + "23 0.3 0.8 0.3 0.5 0.2 \n", + "24 0.7 0.8 0.7 0.6 0.8 \n", + "25 0.9 0.4 0.0 0.7 0.6 \n", + "\n", + " Population Density Socio-Economic Transport Availability Acute IHR \n", + "16 0.9 0.2 0.0 1.14 \n", + "17 0.8 0.1 0.2 1.06 \n", + "18 0.2 0.8 0.8 0.85 \n", + "19 0.1 0.7 0.9 0.89 \n", + "20 0.9 0.4 0.0 1.12 \n", + "21 0.4 0.3 0.5 0.91 \n", + "22 0.5 0.2 0.7 1.00 \n", + "23 0.8 0.1 0.4 1.03 \n", + "24 0.8 0.5 0.1 1.01 \n", + "25 0.5 0.9 0.8 0.92 " + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Top10_NCDC_external" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "9a6421b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2-axis plotting to establish relationship between overal CCVI index and Lab confirmed cases \n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['No. of Cases (Lab Confirmed)'])\n", + "ax1.set_ylabel('No. of Cases (Lab Confirmed)')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'r-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='r')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('r')\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "bffcdf76", + "metadata": {}, + "source": [ + "Benue, Borno, Bayelsa, Ekiti, Akwa-Ibom and Jigawa all indicated inverse relationship between the No. of Cases (Lab Confirmed) and Overall CCVI Index i.e as Number of Cases (Lab Confirmed) decreased, Overall CCVI Index tended to increase across these states with Jigawa having the highest overall ccvi index but with lowest lab confirmed cases. For Abia, Osun, Imo, overall ccvi index were lower at higher confirmed lab csaes. Bauchi state showed that high number of confirmed cases was at par with its high overall ccvi index i.e the impact of covid crisis can be directly linked to number of confirmed cases. Inverse relationships for other states further suggests that impact of covid crisis is unconnected to number confirmed lab cases alone." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6a1cf186", + "metadata": {}, + "outputs": [], + "source": [ + "#Further Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "id": "729ce8f8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2-axis plotting to establish relationship between overal CCVI index and Socio-Economic index\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Socio-Economic'])\n", + "ax1.set_ylabel('Socio-Economic')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'g-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='g')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('g')" + ] + }, + { + "cell_type": "markdown", + "id": "749e0d26", + "metadata": {}, + "source": [ + "For the top 10 states, here we see some direct correlation between Socio-Economic indices and overall CCVI index in most states. Generally Overall CCVI index are higher than Socio-Economic indices as Osun and Bauchi and Jigawa. Osun state had the lowest and equal Socio-Economic indices and Overall CCV index. Jigawa had the highest and equal Socio-Economic index and Overall CCVI index. It can be infered that the impact of the covid crisis is generally higher and can be traced to Socio-Economic indices such as poverty, unemployment, e.t.c " + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "03328e1e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#2-axis plotting to establish relationship between overal CCVI index and Acute IHR Index.\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Acute IHR'])\n", + "ax1.set_ylabel('Acute IHR')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'y-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='y')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('y')" + ] + }, + { + "cell_type": "markdown", + "id": "ceca7d9a", + "metadata": {}, + "source": [ + "Inverse correlation between Overall CCVI index and Acute IHR were observed in all top 10 states. Abia, Osun, Imo and Ekiti states had lower Overall CCVI index with relatively higher Acute IHR. Abia had the highest Acute IHR index and Jigawa the lowest. Borno and Jigawa had the highest Overall CCVI index. Bauchi, Borno, Benue and Jigawa Sates have the higher Overall CCVI index with correspondingly lower Acute IHR index. Borno and Jigawa had the highest Overall CCVI index. Thses observation suggests that the impact of covid crisis cannot be traced to Acute IHR alone. " + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "id": "e2b86b77", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#2-axis plotting to establish relationship between overal CCVI index and Fragility index.\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Fragility'])\n", + "ax1.set_ylabel('Fragility')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'b-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='b')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('b')\n" + ] + }, + { + "cell_type": "markdown", + "id": "1a6aaf93", + "metadata": {}, + "source": [ + "Inverse correlation is observed between Fragility index and Overall CCVI index in almost all the top 10 states being considered here. While Osun, Benue and Ekiti all had lower Overall CCVI index with a correspondingly higher Fragility index, Abia, Bauchi, Imo, Bayelsa, Akwa Ibom and Jigawa states all had higher Overall CCVI index with correspondingly lower Fragility index. Only Borno showed equal Fragility and Overall CCVI indices. It is therefore inferable that Fragility alone can be responsible for the recorded impact of the covid crisis in Borno. This is however not applicable to other members of the top 10 states where Fragility alone may not be responsible for the recorded impact of covid crisis." + ] + }, + { + "cell_type": "markdown", + "id": "8d262114", + "metadata": {}, + "source": [ + "TODO I - Determine the relationship between the external dataset and the NCDC COVID-19 dataset.\n", + "\n", + ">Here you will generate a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", + ">Provide a summary of your observation" + ] + }, + { + "cell_type": "markdown", + "id": "1b05f7bd", + "metadata": {}, + "source": [ + "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset.\n", + "\n", + "#Generating a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", + "\n", + "#Also will Provide a summary of observation" + ] + }, + { + "cell_type": "code", + "execution_count": 355, + "id": "79236f5a", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Regression plot between Confirmed cases population density of top 10 states.\n", + "# regplot\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=Top10_NCDC_external).set_title('Confirmed Cases and Population Density')" + ] + }, + { + "cell_type": "markdown", + "id": "eaf3d582", + "metadata": {}, + "source": [ + "For the top ten (10) highest confirmed cases, it is generally observed that there is higher uniformity in distribution of confirmed cases across most population densities in states in Nigeria. However, a few outliers (exception to this case) exists: There are five occurences which are above the common distribution value across states and there are five occurences which are below the common distribution value in states of various population densities. " + ] + }, + { + "cell_type": "code", + "execution_count": 430, + "id": "6faecbce", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Regression Plot for Lab confirmed cases vs population density for all states\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=NCDC_external).set_title('Confirmed Cases and Population Density')" + ] + }, + { + "cell_type": "markdown", + "id": "2e596b41", + "metadata": {}, + "source": [ + "The general trend indicates that higher record of Lab confirmed cases is associated with higher population densities across all states. There are also many outlier cases that does not align with this trend i.e does not show that higher or lower confirmed cases connected with higher or lower pouplation densities." + ] + }, + { + "cell_type": "code", + "execution_count": 131, + "id": "96eb987a", + "metadata": {}, + "outputs": [], + "source": [ + "# Further analysis on other indicators: Recovery rate\n", + "JH_Daily_Recovery_Nigeriadf['Recovery Rate'] = JH_Daily_Recovery_Nigeriadf['Recovered Cases'].diff()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "id": "a243f893", + "metadata": {}, + "outputs": [], + "source": [ + "# Further analysis on other indicators: Death rate\n", + "JH_Daily_DeathsNigeriadf['Death Rate'] = JH_Daily_DeathsNigeriadf['Death Cases'].diff()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "cb091148", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Recovery Rate in Nigeria')" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Further analysis on other indicators: lineplot of Recovery rate \n", + "plt.figure(figsize = (20,10))\n", + "sns.lineplot(x = 'Date', y = 'Recovery Rate', data = JH_Daily_Recovery_Nigeriadf).set_title('Daily Recovery Rate in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "544b3271", + "metadata": {}, + "source": [ + "The highest recorded rate of recovery of 11188.0 was made on 2020-08-04 while the lowest was -165208.0 on 2021-08-05." + ] + }, + { + "cell_type": "code", + "execution_count": 140, + "id": "d727aa53", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "11188.0" + ] + }, + "execution_count": 140, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Highest recovery rate\n", + "Highest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].max()\n", + "Highest_recovery_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "id": "dc8e69c8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateRecovered CasesRecovery Rate
1952020-08-043185111188.0
\n", + "
" + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "195 2020-08-04 31851 11188.0" + ] + }, + "execution_count": 141, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == 11188.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "e315403a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-165208.0" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lowest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].min()\n", + "Lowest_recovery_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 143, + "id": "f911ea90", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateRecovered CasesRecovery Rate
5612021-08-050-165208.0
\n", + "
" + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "561 2021-08-05 0 -165208.0" + ] + }, + "execution_count": 143, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "\n", + "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == -165208.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 144, + "id": "a02231ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Death Rate in Nigeria')" + ] + }, + "execution_count": 144, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Further analysis on other indicators: Seaborn's lineplot Death rate\n", + "plt.figure(figsize = (15,5))\n", + "sns.lineplot(x = 'Date', y = 'Death Rate', data = JH_Daily_DeathsNigeriadf).set_title('Daily Death Rate in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "73b25263", + "metadata": {}, + "source": [ + "There was a spike in the death rate in Nigeria on 2021-08-29 with a record high of 93.0. The reason may be because that relaxed perventive measures with apparent ease of local restrictions. The lowest death rate of -4.0 was recorded on 2022-06-10 perhaps due to the success at global control the corona virus, especially in year 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 145, + "id": "c4596cbc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "93.0" + ] + }, + "execution_count": 145, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Highest_death_rate = JH_Daily_DeathsNigeriadf['Death Rate'].max()\n", + "Highest_death_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "id": "34e9077c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath CasesDeath Rate
5852021-08-29245493.0
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" + ], + "text/plain": [ + " Date Death Cases Death Rate\n", + "585 2021-08-29 2454 93.0" + ] + }, + "execution_count": 146, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] == 93.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 147, + "id": "421c5844", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-4.0" + ] + }, + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lowest_death_rate=JH_Daily_DeathsNigeriadf['Death Rate'].min()\n", + "Lowest_death_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 148, + "id": "e79bfc0f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateDeath CasesDeath Rate
8702022-06-103144-4.0
\n", + "
" + ], + "text/plain": [ + " Date Death Cases Death Rate\n", + "870 2022-06-10 3144 -4.0" + ] + }, + "execution_count": 148, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] ==-4.0]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "55dfb36f", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 150, + "id": "0d3d5777", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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uqcd27tyJ6Oho64Auf39/tGrVCk2aNMHp06fL1VJtYXnsr1y5gujo6FKPszz+FkX/ibFV1nPhblX2darVasyYMQOvvPIKPvjgAzz44IMOXc4VrwdlPbYWkiRh48aN2LJli/VvombNmmjdujUaNmyI+Pj4u3o+EFU2BlsiJzt8+DA0Gg1atGhh1wJncf36dZw4cQK7du1CVFQU/Pz8oNPpkJ+fX+wNxxKKLCxvTjNmzMBTTz11V/X98ccfmD59OkJCQjBnzhy0bt0aDRo0gEwmw3//+18cO3bsrq7X8kZsCTJF3c3H2JXF0rf3q6++uuMCGZbHuOhjD5hbd00mU5mhs7TrK210fVZWFgDYDdZzh0OHDmHBggVo3LgxpkyZglatWllbTT/++GOcPn36rq7X8tg/+uijePfddyut3qrgwQcfxKBBg7Br1y4sX77coT7mrn49KM3WrVuxatUqtG3bFiNHjkTLli2tAyRnzZpl/SSCyN3Yx5bIySzdEF577TXMmDGj2Nc777wDpVKJY8eO4ebNm9bwW9KUWLGxsXa/W0aZF+2PCZg/Jl6xYgW2bt1aZkvK999/D5PJhGnTpqF///645557rKskWT6mv5uWGLVajXvvvRcJCQnFlrC9ffs2rl27Vu7rrCxlPW43btzAsmXLcOjQIQCw9jktaUnfY8eOISoqCl988QUAx1r0LLd99uzZEvdbAmPjxo3veF3O9O233wIwT5PWq1cvu64Aly5dAmD/vHC0NbNRo0ZQKpX4+++/S+zK8PXXXyM6OhppaWkVKd9jvfbaawgJCcGuXbsc+ufA1a8Hpfn2228hk8nw4YcfIioqym7WD8vzgcgTMNgSOVFKSgp+//131K5d2zrgpqjAwEBERUXBaDTaTQe0evVquxaZhIQE7Ny50+6ybdu2RYMGDbBnz55ib5JffPEFNm/ejNOnT5cZOixLdxZdOercuXPWj+ot/U7Lq3///tBqtVixYoXdm+natWvLNcduZevXrx9EUcTatWvtWk5NJhOWLl2Kbdu2WT9+b9++PerUqYPvvvvOLjAYDAbrzAWdOnUCAOuAuLL6YNatW9c6QOzLL7+02/f999/j+PHjuO+++6whxV1Ke14cPnwYP//8MwD750Vp910ul9ttUyqVePTRR5GYmFhs2qy4uDgsW7YMX3/9NQICAirvzngQf39/TJs2DUDhqnhlcfXrQWnUajVMJlOxT1q2bduGhIQEAHf/OkFUmdgVgciJ9u/fD5PJhMcee6zMteIHDRqEQ4cOYffu3XjxxRcxZMgQbN++Hc899xy6dOmCnJwcHD58GL6+vsjNzbVelyiKmDt3LiZPnoyJEyciKioKDRo0wD///IMTJ04gJCTEOuF6aXr37o2tW7fiww8/xJkzZxAaGopLly7h+PHjCAwMRH5+vvXj8fIaNmwYfvrpJ3z99df466+/0Lp1a5w/fx5//fUXateuXawfpas0aNAAr7/+Oj788EMMGzYM3bp1Q2BgIH799Vf8888/eOCBBzB48GAA5mA2e/ZsvPHGGxg7dix69OiBkJAQ/PLLL7h06RLGjBmDe++9FwCsg51WrFiB9u3bY+zYsSXe/owZMzB27Fh8+OGHOHr0KJo1a4ZLly7hl19+Qc2aNTF//nzXPBBlePzxx3HgwAHMmDEDffr0QY0aNfDXX38hJiYGtWrVQkZGht3zoqT7rlQqUbduXSQnJ+P9999Hu3bt0K9fP0yePBnnzp3Dxx9/jJ9//hkRERHIyMjA4cOHYTKZMHPmzHJ176hqevbsiUceeQSHDx++47EREREufT0oTb9+/RAbG4vx48ejV69eUCqVOHv2LOLi4hAUFFTs+UDkLmyxJXIiy+pH/fr1K/O4Tp06oU6dOrh27RpOnjyJN954A2+++SZUKhV27tyJU6dO4fnnn8fo0aMBFLamAeb5cDds2IA+ffrg3Llz+PLLL5GUlITBgwdj/fr1xSa6L6pZs2b46KOP0LJlS/z000/45ptvkJKSghdffBFffvklVCoVTpw4cVf3X6FQYMWKFXjhhReQnp6OHTt2QKfTYdmyZWjQoMFdXWdlGTp0KP7zn/+gRYsW+N///ocdO3ZAkiRMnDgRy5Yts+vPGBkZiejoaDz00EM4ceIEtm/fDplMhhkzZtgNxnrmmWfQuXNn/P3339ixY0exVcQsGjRogE2bNmHw4MG4cuUKvvrqK1y6dAlPP/00tmzZgvvuu8/p9/9OOnfujAULFqBhw4b4/vvvsWfPHuTm5uK1116zDvqyfV6Udt+nTZtmbUW0/D3UrFkT69atw4gRI5Ceno7t27fjt99+Q6dOnRAdHY2oqCjX32EXmzp1qsOt0q58PSjNM888g7feegs1a9bE7t278d1330EURbz99ttYsGABANz16wRRZRIyMzM5jJHIg6SlpUEul9utrGRhmWR9/fr1Dk8QT0RVF18PiMqHLbZEHua7777Do48+ih07dthtz8jIwJ49exAQEICmTZu6qToiciW+HhCVD1tsiTxMSkoKnnvuOeTm5iIqKgrh4eHIysrC0aNHkZWVhXnz5hVb6IGIvBNfD4jKh8GWyAMlJydj06ZNOHnyJNLS0uDn54f7778fI0aMQIcOHdxdHhG5EF8PiBzHYEtEREREXoF9bImIiIjIKzDYEhEREZFXYLAlIiIiIq/AYOsCluUGqWrjefQOPI/egefRO/A8egdPOo9uC7Y6nQ7PPvssTp48ad12/fp1TJo0Cd26dcOQIUNw/Phxu8vExMRg+PDhiIqKwssvv4ykpCS7/V9++SUGDBiAHj16YP78+dBoNC65L0RERETkfm4Jtvn5+Zg1axYuXrxo3SZJEqZOnYrAwEBs2LAB/fv3x/Tp03H16lUA5rn8pk6dir59+2Ljxo0IDg7G1KlTYTKZAABHjhzBmjVr8NZbb2HVqlU4f/48PvroI3fcPSIiIiJyA5cH24sXL2L06NFITk622x4TE4MrV65gxowZaNy4MUaNGoU2bdpg9+7dAICdO3eiadOmGDlyJBo3bozZs2cjNTUVMTExAIBt27ZhyJAh6NatG1q1aoV///vf2LdvH/Ly8lx9F4mIiIjIDVwebM+cOYNOnTph3bp1dtvj4uLQrFkz+Pn5Wbe1bdsWsbGx1v3t27e37lOr1WjevDliY2NhNBrx559/2u2PiIiA0WjE33//7eR7RERERESeQO7qGxw8eHCJ29PS0hAaGmq3LSgoCKmpqdb9ISEhJe7Pzs5Gfn6+3eXlcjkCAwOtlyciIiIi7+byYFsarVYLhUJht02pVEKv11v3K5VKu/0KhQI6nQ75+fnW34vut1y+JK4cxedJIwbp7vE8egeeR+/A8+gdeB69g6vOY9OmTcvc7zHBVqVSITc3126bTqeDWq0GYA65Op3Obr9er0dgYKA18BYNsXq9HiqVqtTbvNODU1kSEhJcdlvkPDyP3oHn0TvwPHoHnkfv4Enn0WPmsQ0NDUV6errdtoyMDAQHBwMAateuXWx/eno6QkJCEBgYCJVKZbffYDAgKyurWPcFIiIiT3YwWYOB395Em69uYOC3N3EwmVNXVkU8j+7hMcE2IiIC8fHxdnPPnjlzBhEREdb9Z8+ete7TarWIj49HREQEZDIZWrZsiTNnzlj3x8bGQhRFNG/e3GX3gYiIqCIOJmsw7UQWUjRG1FIKSNEYMe1EFkNRFcPz6D4eE2w7dOiAunXrYt68ebhw4QI2btyIuLg4PPnkkwCAgQMH4o8//sC6detw8eJFvPvuu6hTpw46duwIAHjmmWfw+eef48iRIzh//jwWL16MgQMHwtfX1433ioiIyHHLY3OglAG+chkEQYCvXAalzLydqg6eR/fxmD62oihiyZIlePfddzFq1CjUr18fixcvRlhYGAAgLCwMixYtwrJly7B+/XpERERgyZIlkMnM2fzRRx/F9evXsWjRIuh0OvTo0QOvvfaaO+8SERFRuSTmmFv4bPmIAhJzjG6qiO4Gz6P7uDXY2i6nCwANGzbE2rVrSz2+c+fO6Ny5c6n7R40ahVGjRlVafURERK4U7i8iRWOEr7wwFGmMEsL9RTdWReXF8+g+HtMVgYiIqLqb3NofOhOQZzBBkiTkGUzQmczbqergeXQfBlsiIiIP0aeBDz54KBB1fETc0kmo4yPig4cC0aeBj7tLo3LgeXQfj+ljS0REROZQxABU9fE8ugdbbImIiIjIKzDYEhEREZFXYLAlIiIiIq/AYEtEREREXoHBloiIiIi8AoMtEREREXkFBlsiIiIi8goMtkRERETkFRhsiYiIiMgrMNgSERERkVdgsCUiIiIir8BgS0RERERegcGWiIiIiLyC3N0FUNV2MFmD5bE5SMwxItxfxOTW/ujTwMfdZREREVE1xBZbumsHkzWYdiILKRojaikFpGiMmHYiCweTNe4ujYiIiKohBlu6a8tjc6CUAb5yGQRBgK9cBqXMvJ2IiIjI1Rhs6a4l5hjhIwp223xEAYk5RjdVRERERNUZgy3dtXB/ERqjZLdNY5QQ7i+6qSIiIiKqzhwePHbp0iXExMTg2rVryMnJQc2aNVG3bl089NBDqF+/vjNrJA81ubU/pp3IAgwm+IgCNEYJOpN5OxEREZGr3THYHjp0CBs3bkR8fDwkSUKNGjWgVquRnZ0NrVYLQRDQvHlzjB49Gt27d3dFzeQh+jTwwQcPgbMiEBERkUcoNdjeuHEDc+fOxcWLF9GzZ0+8+uqraNWqFfz9C1vjbt++jdOnT+P48eOYO3cu7rvvPsybNw9hYWEuKZ7cr08DHwZZIiIi8gilBtuxY8di2LBhWL58OZRKZYnHBAQEoHv37ujevTtee+01bN++HePGjcPevXudVjARERERUUlKDbYbN25EUFCQw1fk6+uLF154AQMHDqyUwoiIiIiIyqPUWRHKE2ptBQcH33UxRERERER3q9QW2927d5frigYNGlThYoiIiIiI7lapwfa9996z+10QzBPxS5JUbBvAYEtERERE7lVqsN25c6f154sXL2LmzJkYOXIkHnvsMYSGhiIzMxP/+9//EB0djfnz57uiViIiIiKiUpUabOvVq2f9eebMmRgxYgRGjx5t3Va7dm0MGTIEWq0Wy5cvx0MPPeTcSomIiIiIyuDQkroJCQm4//77S9zXpEkTJCUlVWpRRERERETl5VCwDQsLw9GjR0vc99133yE8PLxSiyIiIiIiKq87LqkLAM899xzee+89ZGRkoHv37qhVqxbS09Nx4MABxMTEYMGCBc6uk4iIiIioTA4F20GDBsFgMOCzzz6za7mtV68e3n33XfTs2dNpBRIREREROcKhYAsAgwcPxuDBg5GYmIisrCzUqlULDRs2dGZtREREREQOc6iPrYVOp0NGRgZu3LiBwMBApKSkOKsuIiIiIqJycbjFdseOHVi9ejWys7MhCAI2bNiAVatWAQAWL14MtVrttCKJiIiIiO7EoRbbffv2YfHixejVqxeWLVtmXX2sf//+OHv2LD799FOnFklEREREdCcOBdvNmzfj6aefxowZM9CpUyfr9sceewxjxozBoUOHKq2g27dv4+2330bv3r3Rv39/rFy5EkajEQBw/fp1TJo0Cd26dcOQIUNw/Phxu8vGxMRg+PDhiIqKwssvv8z5dYmIiIiqEYeCbXJyMqKiokrc17x5c6Snp1daQYsXL0ZqairWrl2LefPmYd++ffj8888hSRKmTp2KwMBAbNiwAf3798f06dNx9epVAEBKSgqmTp2Kvn37YuPGjQgODsbUqVNhMpkqrTYiIiIi8lwOBdugoCAkJCSUuO/SpUsICgqqtIKOHTuGZ599Fk2aNMGDDz6Ixx57DDExMYiJicGVK1cwY8YMNG7cGKNGjUKbNm2we/duAMDOnTvRtGlTjBw5Eo0bN8bs2bORmpqKmJiYSquNiIiIiDyXQ8H20Ucfxbp16/Ddd99Bo9EAAARBQGxsLNavX4/evXtXWkGBgYH47rvvoNVqcfPmTfzyyy9o0aIF4uLi0KxZM/j5+VmPbdu2LWJjYwEAcXFxaN++vXWfWq1G8+bNrfuJiIiIqPJIkoQcvQkmCO4uxcqhWRHGjx+PCxcuYM6cORAEc/Hjxo1Dfn4+2rdvj3HjxlVaQdOnT8ecOXPQo0cPmEwmPPjggxg7diyWLVuG0NBQu2ODgoKQmpoKAEhLS0NISEip+4mIiIio4kyShGydhEydCXqTBFS1YKtQKLBs2TKcPHkSv/32G7KysuDv748HHngAnTt3tobdypCUlITmzZtjzJgxyM3NxQcffIDly5dDq9VCoVDYHatUKqHX6wEAWq0WSqWyWN06na7U2yqte4UzuPK2yHl4Hr0Dz6N34Hn0DjyPVYdJkCHXKOC2ToKhYIYsAUADH8Fl57Fp06Zl7nd4HlsAiIyMRGRkZIUKKktycjKWLVuGnTt3ok6dOgCAmTNnYtKkSXjiiSeQm5trd7xOp7POn6tUKouFWL1ej8DAwFJv704PTmVJSEhw2W2R8/A8egeeR+/A8+gdeB49W75RQr5RgtYgQWuUoDNJCAAQUOQ4Y+oVjzmPDgfbgwcP4ty5c7h9+3axfYIgYO7cuRUu5s8//4Svr6811AJAixYtYDQaERISggsXLtgdn5GRgeDgYABA7dq1i83OkJ6ejiZNmlS4LiIiIiJvZzBJyNVLyCsIssaCVtmqxKFg+/HHH2PTpk3w9fVFQEDRnI5K64oQGhqK7OxspKSkWMPt5cuXAQDh4eHYvHkzNBoNfHx8AABnzpxBREQEACAiIgKnT5+2XpdWq0V8fDxGjx5dKbURebODyRosj81BYo4R4f4iJrf2R58GPu4ui4iInCzfKCFPb0KOwdw6W9U5FGz37duHgQMHYubMmZXan7aoiIgINGvWDPPnz8frr78OrVaL999/H/369cMjjzyC6OhozJs3D2PHjsXPP/+MuLg4zJo1CwAwcOBAbNmyBevWrUOPHj2wbt061KlTBx07dnRavUTe4GCyBtNOZEEpA2opBaRojJh2IgsfPASGWyIiL2MwSdAYCr6MUsHgL+/h0HRfGo0GvXr1cmqoBQC5XI5ly5YhICAAEydOxPTp09GhQwfMmDEDoihiyZIluHXrFkaNGoX9+/dj8eLFCAsLAwCEhYVh0aJF+PbbbzFq1Cikp6djyZIlkMkcuotE1dby2BwoZYCvXAZBEOArl0EpM28nIqKqTZIk5OpNSNcacSXbgMvZBqRojLitN3ldqAUcbLHt0qULYmJi8PDDDzu7HoSGhuL9998vcV/Dhg2xdu3aUi/buXNndO7c2VmlEXmlxBwjaint/2n1EQUk5hjdVBEREVWEwWTuJ5tX0DJbFfvK3i2Hgu2bb76Jl19+GSkpKWjdurW1j6utQYMGVXpxROR84f4iUjRG+MoLw63GKCHcX3RjVUREVB6WgV/ZehO0XtBX9m45FGyPHj2KK1eu4PLlyzh48GCx/YIgMNgSVVGTW/tj2okswGCCjyhAY5SgM5m3ExGR5zJJ5jCbo5eQazC5uxyP4FCwXbduHR544AGMHz++2OpeRFS19Wnggw8eAmdFICKqIvIMJuToJORWs24GjnAo2GZmZuL//u//0Lp1a2fXQ0Ru0KeBD4MsEZEHyzdKyNGbkKP3vpkMKpNDUwa0bt2aS94RERERuZDBJCEz34Qr2QYk5RhwK987ZzKoTA612L7wwguYPXs2bt26hTZt2sDX17fY1F+cL5aIiIioYowmcxeDbJ0Jmmo8COxuORRsX331VQDA1q1bsXXrVut2QRAgSRIEQcCJEyecUyERERGRFzMWTM+Va5CQp5dgAgPt3XIo2K5evdrZdRARERFVG3qTOcTm6E3IN6JKhtljN/KxNSEPGbkq1PvnpkcMPHYo2P73v//F4MGD0aFDB2fXQ0REROSV9AVzzd7WmaCr4n1lj93Ix+Kz2fCRAQFyyWOWY3do8NiPP/4InU7n7FqIiIiIvIrRJCEr34SrOQYkZhuQpjVW+VALAJvi86AQAJVcBgjwmOXYHQq27du3x48//giTiZP/EhEREZVGVzAtV4bWiOu5RiRmG3FTa/S6gWDX8oxQi563HLtDXREaN26Mr776Cj/++CPuvfdeBAUF2e0XBAFz5851Rn1EREREHktrkJBnMEFjMK/aWF0WTAjzFZGuNcJP5lnLsTsUbA8fPozg4GAAwJUrV3DlyhW7/UWn/iIiIiLyRpJknsHA8lVd55Ud2cwXi89mI99ggkowr4bmCcuxOxRsd+3a5ew6iIiIiDySqSDM5urN36tLq2xZutRV4S2gYFYEI+oFeMZy7A4FWyIiIqLqhHPL3lmXuip0qauCMfUKmjdt4O5yAJQRbAcOHIjFixejZcuWGDBgQJndDQRBwO7du51SIBEREZGzSJK5b6zOJEFvNP+cb5RgMEmMslVQqcG2Y8eOqFGjhvVn9qMlIiIib6E1SMjWm5CjZ9cCb1JqsFUoFDAazVM2jB8/HsHBwVAoFC4rjIiIiKgyGU0ScvQSsrxggQQqWanz2O7fvx/p6ekAgCeffBJ//vmny4oiIiIiqiiDqeQ5ZRlqvVepLbaBgYHYtGkTkpKSIEkSfv75Z1y+fLnUKxo0aJAz6iMiIiK6I0mSoDWa+8dqjRLyjdV3Kq7qrNRg+/zzz2PZsmX45ZdfIAgCNm7cWOqVCILAYEtEREQuozeZw2u+UYLWICHfCM5cQKUH26FDh6J///7Izs7Gk08+iYULF6JFixaurI2IiIiqOUtLrM6mFZYhlkpT5jy2/v7+8Pf3x+zZs9G+fXvUrFnTRWURERFRdWWZQ9byxVkLyFEOLdAwYMAA5OTk4MiRI9BqtTCZTMWO6d+/f6UXR0RERN5PZ5SgM0nQGc1BVmtkkKW741Cw/fXXX/Hvf/8bGo0GUgn/NQmCwGBLREREpTKYJBhMgF6SYDKZ+8im6UXIbxvYIkuVxqFg+/HHH6NevXqYMmUK6tSpA5ms1FnCiIiIqBqzDOrSGwv6xpokGE0l94nNNZgYaqlSORRsL126hAULFqBjx47OroeIiIiqCNsptjQGc6A1MKiSGzkUbENCQqDT6ZxdCxEREXk4bUEfWE3Bd7a4kidxqE/BkCFDsHHjRuTk5Di7HiIiIvIgxoLVu1LzjLh824DkXAPStEZ2IyCP5FCL7cWLF3Ht2jU8/vjjaNSoEdRqtd1+QRCwdu1apxRIRERErmPpI6uzaZVlfKWqwqFgm5ycjKZNmzq7FiIiInIhSZKgMUrINxT2lWUfWarKHAq2q1evdnYdRERE5AK2fWQ1BokreJFXcSjYWly4cAGnTp1CdnY2atWqhbZt26JJkybOqo2IiIgqwGAyh1jzcrTgYC/yeg4FW5PJhAULFmDv3r12CzQIgoDHHnsMc+fOhSAITiuSiIiIyiZJ5vCabyzoXmCUoDcxxFL14lCw3bx5M/bt24cxY8agf//+CA4Oxs2bN/Htt9/is88+Q9OmTTFixAhn10pEREQ2OPUWkT2Hgu3u3bsxYsQIjBkzxrqtfv36GDNmDPLz8637iYiIyHmMJgl5BvOXxsCBXkRFOTSPbWpqKjp06FDivg4dOuD69euVWhQREVF1Z5IkaA0SbutMSNMYcTXHgEvZBqRojMjWmxhqiUrgUIttvXr1EB8fj4cffrjYvvj4eNSqVavSC/MuAkySBBn7IRMRUQmMBYO89CbzAK98owSDifPHEpWXQ8H2sccew/r161GnTh307t0bcrkcBoMBBw8exPr16zF48GBn11mlaSUBl24bIBMEyGWAvOC7QiZAIQNUogC5jKGXiKg6MEmWmQoKQywHeRFVDoeC7fPPP4/Tp09jzpw5mDdvHgICAnD79m2YTCY88MADGD9+vLPrrPIkAEZJgtEI5JfwP7hcEKASBahEQCkKUMoEKEWGXSKiqkqSJBgk80pe+oLZCrRGCTqGWCKncSjYKpVKrFy5EsePH8fvv/+O27dvIyAgAB06dEDnzp0rrRiDwYAVK1Zg//79kCQJvXv3xhtvvAGlUonr169jwYIFOHv2LOrWrYvXX3/d7rZjYmKwdOlSJCUl4f7778fMmTPRsGHDSqvN2QySBINBQq6hcJsMAhQioJKZQ69MBggAZIJ5nyBYfkbBzwzCRESuIknmrgMGSYLBZO5OoDeZg6xBArsSELlBuRZo6Ny5szVMZmdno0aNGpVazPLly3H06FEsWbIEgiBg9uzZ+Oyzz/Dyyy9j6tSpuPfee7Fhwwb89NNPmD59Or744gvUr18fKSkpmDp1KkaPHo2uXbvis88+w9SpU7Ft2zbIZA6Nj/NIJhTOSQh92cdaIq1MECDAHHTlAiCXmbs9iIIAUQBEm64QDMJERCUzSRKMEmAqaHE1FgRYvckcWA0m86dwDK5EnqXMYHvr1i0sX74cLVq0wNChQ63bNRoNBgwYgO7du2PatGmVEnCzs7OxY8cOLF26FG3btgUAjB07FgcPHkRMTAyuXLmCTz75BH5+fmjcuDFOnjyJ3bt3Y8KECdi5cyeaNm2KkSNHAgBmz56Nfv36ISYmBpGRkRWurSqwvLha5zC0ZGFj6S+7lrCrkJlbfwUUtgjb/g7AbgEOweb2SmIbly0XE2x2FN6OAJkAiJaWZwZtInIBk1TYsmos+G5peTVJgNEESGBoJaqKSg222dnZePnll5GcnIz77rvPbl9+fj569+6NAwcO4J9//kF0dDR8fX0rVMiZM2egUqnsguiAAQMwYMAArF+/Hs2aNYOfn591X9u2bXHmzBkAQFxcHNq3b2/dp1ar0bx5c8TGxlabYHs3jAUtEp7Q38sSaUXBJmQLgAhzqJYJgKKg5dky8I6tzkRUGkuLq6V/qyW86kycbYDIm5UabD///HNkZGRYQ6WtmjVrYvbs2Rg8eDBeffVVbNu2DS+99FKFCrl69Srq1auH77//HuvXr4dGo0GvXr0wceJEpKWlITQ01O74oKAgpKamAgDS0tIQEhJS6n7yfJY3GYMkldAcXPJbkLnl1z4IW74rZAKU1gBs/lnkzBNEVZ6ltVUryZCZb4KuYEYBY8FLh0kyH8PgSlQ9lRpsDx8+jBEjRhQLtbbuv/9+/Otf/8KhQ4cqHGxzc3Nx7do1bN++HTNmzEBeXh4WLVoEo9EIrVYLhUJhd7xSqYReb+54qtVqoVQq7fYrFArodLoybzMhIaFCNTtOhsuJiS66LSqJIAAKQYBCFKAUJHOrLwC5IEEox1ug654z5Ew8j55DEAQYJcAoCTAAMEjmHlQGSYBkAkwwjzdAwXZzeDX/zab8fdGdpVMl4ftj1SYAaOAjuOx1tWnTpmXuLzXYXr9+HS1btrzjDbRr1w7bt28vf2VFC5HLkZubi/nz56NBgwYAgMmTJ2Pu3Lno378/cnNz7Y7X6XRQq9UAzCG3aIjV6/UIDAws8zbv9OBUltj4C2gUHu6S26Lys0y1ppDZTrVWvJtDQkKCy54z5Dw8j84nFXQDMH8VDMIyFf5slMwzCBgK+rMCEkQAyjtcr63LiYl8XfUCPI/ewZh6xWNeV0sNtn5+fsjJybnjFej1emvArIiQkBCIomgNtQAQHh6O/Px8BAcH48KFC3bHZ2RkIDg4GABQu3ZtpKen2+1PT09HkyZNKlwXeT/LVGu2LN0cLAPpACBFJ0KdY56PraQeE5ZZKBQy83dRMAdlBbtAUBVimcIq3yTBYJSQbwJ0xsKP9i3PffP30j/tYFcAInKHUoNtixYtcOzYMTzyyCNlXsGxY8cqZb7Y1q1bw2g04p9//rEOVrt06RL8/PzQunVrbNmyBRqNBj4+PgDMg80iIiIAABERETh9+rT1urRaLeLj4zF69OgK10XVkwTzm7ZJgvUdWms0madeK0Vps1DIYL/whkIElDLPXm1OslmDXuAAPY9SdES/rmDqKcvKVWLBDCNCwRzXlqeZpQ86UDiziamg9dTSL9XSgmpiLCWiKqrUYDto0CDMnDkTXbt2Rc+ePUs85siRI9i7dy/eeuutChdyzz33oFu3bpg/fz5mzJgBrVaLlStX4oknnkDHjh1Rt25dzJs3D2PHjsXPP/+MuLg4zJo1CwAwcOBAbNmyBevWrUOPHj2wbt061KlTBx07dqxwXUQVZYIEjRHQFAm9MggF8woXtvSaB7+Z44dtnLT0KywcHFPYamY9psiAmZKmarPuswk5tqFGkmymjCuBUHApu2ncUDhvcklTuNkO7EPBPm+bS1mymfPUJJnPubHg8ZQKHl8TzPuKsjwCtufTcpjl3BS9bgcqqvB9IiKqioTMzMxSXwHnzp2L7777Dp07d0bXrl0RFhYGk8mEa9eu4dixY/jll1/QpUsX64IKFZWbm4ulS5fi8OHDEEUR/fv3x6RJkyCXy5GUlIR3330Xf/zxB+rXr48pU6bgoYcesl72+PHjWLZsGW7cuIGIiAjMnDnTrluDO8XGX4BPnXvcXQZVEPuCVT7buZQtLAHdBHPQs532rTAwF/4TYBuuAUsrpLkV0ySZu5rYdh25ciUR99xT/DwWvR67eZwttRXUZQmoJqnwI3lGSdfi36N34HmsGvIMJqRqTLipMSFVa8RNjQk3teZtzzT2wYO4geZNPaP7Z5nBFgC2bNmCLVu24NatW9bwKkkSgoKCMHz4cAwbNgxyebkWMKt2GGy9A1+AvQPPo3fgefQOPI/uZZQkpGtNNkHVWBBeTbipMRZ8NyHXUHpUfL21P4YFpnlMsL1jIh0xYgSGDRuGP//8EykpKRBFEfXq1UOzZs3Y946IiIjIA+XoTfYhtSC82gbWdK0Jpgrezk2NESh7EiqXcqipVRRFREREWAdrEREREZHrGUwS0rTFQ2qqxmjtHpCmNSGvjFbWypSqrWg0rlzsQ0BERETkZpIkIVsvFbSs2nYJKAytNzUmZOR71rwlNzUMtkRERETVhr6gldU8AKt4K6tlUFa+0d2Vlt9NjWcVzWBLREREdBckSUKWTrIbeGX92RJktUbcyvekNtbyEwUgRC1DqFqGUB8RtX3MP9f2EVHXVwaY8txdohWDLREREVER+caCvqwFLaxFW1st3QV0nvVJfLnVUAgI9ZGhtlos+G4fXkN9ZAhSycqcd9yY6sKC76BcwTYrKwvnzp1DdnY2atWqhdatW8Pf399ZtRERERFVKpMkITNfKtKP1WbWgIIW1yxd1W5llQtAqI8MoXaB1dzKagmsoWoRPnLvmuHKoWBrNBqxZs0abN++HVqt1rpdpVJh1KhReOmll5xWIBEREZEjtEbJLqTaz8ta2MrqogkDnCZQKVgDamHLqmgXXgOVgtes7lgeDgXb6OhobNmyBf/617/wyCOPoFatWkhPT8f333+P6Oho+Pv7Y+jQoc6ulYiIiKohkyQhI98y4Kr4VFeWwHpbX7UTq1IGa0i17RZgDbAFP6vE6hdYHeVQsN2zZw9GjRqFl19+2botPDwcHTp0gI+PD7Zt28ZgS0REROWmMUh2g63sBl4V/JymNcFYtTMraqkEhKrtB16FFukeEKgUuPhVBTkUbLOystCmTZsS9z388MPYsWNHpRZFREREVZtRkpChNdl3C7CZ2uqmxoSUXDXyTt10d6kVohJRPLAWtLaGFAzKClHLoGQrq0s4FGw7deqE77//Hp07dy627/jx42jfvn2lF0ZERESeqfKWa/XcsCcACFJZBlnZB9baPjKEFITZGgq2snqSUoPt7t27rT+3atUKn332GTIzM9GnTx8EBwfj9u3b+Omnn/Dzzz9jypQpLimWiIjI2x27kY9N8Xm4lmdEmK+Ikc180aWuyiW3bVmuNa2ghdV2IYE0m9ZXVy3X6iw+YsEUV6UMvApVyxCilkEuY2CtaoTMzMwSn52dOnVy/EoEASdOnKi0orxNbPwF+NS5x91lUAVdTkxEo/Bwd5dBFcTz6B289Tweu5GPxWezoRAAtShAa5Sgl4C32taoULiVJAk5esmuhbWk0Oppy7WWlwxAsCWgljDwyhJe/eRsZa1MxtQraN60ibvLAFBGi+3OnTtdWAYRERFtis8zh1q5DACglguAwYRN8XmlBtuiy7XarniVqilsfdV61sqn5eYnF+wXELDpw2ppfQ1SsZW1uis12NarV8+VdRAREVV71/KMCFSYg5kkSTAVNJ9ezDZg5yVNseVa07RGZHjpcq22q2GFqmXwU8jcXSpVAQ6vPHbu3DmcOnUKer0ekmT+IzKZTNBoNDhz5gw2bdrktCKJiIi8ic4o2Q22soRUrcE8k4AJgMEEu24B757Odle5d62GQigWUmv7yJCmNeHn6/m4matHeKASo5r7uawfMXk3h4Lt9u3bsXTpUmugtSWTyfDwww9XemFERERVjSRJyNRJRVa8su0e4P3LtYZYV8MqebnWYzfysTnB3OUiUGFeeGHx2Wy8BTDcUoU5FGy//vprdOrUCfPnz8fmzZuRnZ2NKVOm4NixY5g/fz4effRRZ9dJRETkVpblWgsXDzDPx5pWJMDq7zzHlUcLVBa0stq0sFrnaS1oea2puvvlWm37EetMBf2J79CPmMhRDgXba9euYdKkSQgMDESrVq2wdu1aqNVq9OrVC5cuXcL27dvRt29fZ9dKRERU6UyShFv5kl23AMvPaTaLCXjbcq22q19ZZg0IUcugdvJCArb9iC3UooBreVV8dBt5BIeCrUKhgEpl/i+qYcOGSEpKgsFggFwuR5s2bfDFF184tUgiIqK7Ybtcq+2KV5ZZA24WzBpQxadlRU2lYBdSQ4otKCB6zHKtYb4i0rVG84wPBbRGCWG+ohurIm/hULBt1qwZjh49isjISNxzj3k+1ri4OLRr1w6pqalOLZCIiKgoo4RSV7yyhNebWhNyqngrq0qE3cwAtW1aWy3dAqracq0jm/li8dlswGCCTAK0BhP0knk7UUU5FGyHDRuG6dOnIzs7G/Pnz0ePHj3w9ttvo3v37jhw4ADatWvn5DKJiKi6yNWbrP1YbVtbrVNdaUxI06phQrq7S71rRZdrLTprQKgXL9fapa4Kb8Hc1zYpy4CGfq5dXY28m0PBtkePHvjwww9x8eJFAMD06dMxa9Ys7Nq1C/fffz+mTp3q1CKJiKjqM5gkpGsLA2qqTWC1bX11bLlWzw17ZS3Xagms1X251i51VehSV1Wwglxdd5dDXsTheWy7du2Krl27AgACAwOxYsUKpxVFRERVh/1yrYUrXt206ceaqjVZ52etqmQAgtSyEle8sgTW2lyulcitHA62pfnuu++wdetWbN68uTLqISIiD2K3XGsJA69ueulyrSV1D+ByrUSer8LBNjMzEwkJCZVRCxERuYgkSbitlwqCaumzBnjbcq2FU1txuVYib1ThYEtERJ6l6HKtRbsHWBYVyK/K/QJQ8nKt1j6tBa2vtdQyiOwWQFRtMNgSEVURkiQhq2C51tIGXqVqjMis4su1igLsFg0oqU9rXupVtGgc7u5SicjDMNgSEXkArVFCmt3KV/YDr7xtudbaBatc2S3XWtDaWsuB5VovV92ZvojIiRhsiYicyLpca5G+q7bdArxhuVaFDIUDr0parlUtQ4iP6PTlWomoeis12A4YMMCh6Ury8vIqtSAioqqirOVa0wrCK5drJSJynVKDbceOHfkiRUTVklGScEtrsnYLSCuhhTXVG5ZrlcE60Cq0yAICVXW5ViKq3koNtnPmzHFlHURELqExApezDdblWgvnaC38PU1rgrEKZ1bLcq0hRaa2CrFpYQ31kSHAC5drJaLqrdRg+88//+C+++4r9xUmJCSgadOmFSqKiKi8bJdrLdqyar9cqw+ADHeXe9fUIuz7rhaZNYDLtRJRdVZqsJ02bRoefvhhvPjiiwgNDb3jFV29ehUbNmxATEwMvvnmm0otkoiqL8tyrTe19gOv0gpaWLlcKxERWZQabLds2YKlS5di0KBB6NChA3r37o1WrVqhXr168PHxQXZ2NlJSUnD27FkcO3YMMTExeOyxx7i0LhE5zFDScq0lzMvqLcu1WhcPKGFRgWC2shIRVVipwdbPzw+zZ8/GkCFDsH79eixZsgRGY/F3F5VKha5du2Ljxo1o1qyZU4sloqrBdrnWkqa2snQXyMg3oQp3ZYUoAMGqgpBqNy+r+XfLz1yulYjINe44j23z5s2xcOFC5OXl4cyZM7h27RpycnJQs2ZN1KtXD+3atYNKpXJFrUTkAWyXay3aPcB2Jayqvlyrv0Kwa1m1DLzicq1ERJ7L4QUafH190blzZ2fWYufdd99FcnIy1qxZAwC4fv06FixYgLNnz6Ju3bp4/fXX7eqJiYnB0qVLkZSUhPvvvx8zZ85Ew4YNXVYvUVVXbZZrhWSziEDh1Fa2q1/V9hHhI2dgJSKqajxy5bGTJ09i9+7d6NChAwDzG+7UqVNx7733YsOGDfjpp58wffp0fPHFF6hfvz5SUlIwdepUjB49Gl27dsVnn32GqVOnYtu2bZDJ+BEgUb5RMgdUm8BqO/DK25ZrDbUZeBWiLmxhDfURkXUjCY0bhbu7VKJq7diNfGyKz0NSlgoNE29hZDNfdKnLT3+p4jwu2Go0Grz//vto27atdVtMTAyuXLmCTz75BH5+fmjcuLE1/E6YMAE7d+5E06ZNMXLkSADA7Nmz0a9fP8TExCAyMtJdd4XI6UyShMx8qcQVr6zhVWtCVhVvZVXIYB14FVpk4JUltDq6XGs2G2KJ3OrYjXwsPpsNhQD4yyWka41YfDYbbwEMt1RhHhdsV69ejQ4dOiAkJARnz54FAMTFxaFZs2bw8/OzHte2bVucOXPGur99+/bWfWq1Gs2bN0dsbCyDLVVZWoM5sNoOvEorMmuAty3XGmrTFcD255pcrpXIa2yKz4NCANRyGXQm83cYTNgUn8dgSxXmUcH23LlzOHToELZt24atW7dat6elpRWbSzcoKAipqanW/SEhIaXuJ/IkRZdrtXQDKDprQHYVX65VKUOxKa1sB15ZWl+5XCtR9XItzwgREq5kG6AzyqDMNyBIJeBaXhWf1488wl0H2/T0dNy8eRPNmjWrlH6sOp0O7733HqZMmYKAgAC7fVqtFgqFwm6bUqmEXq+37lcqlXb7FQoFdDpdmbeZkJBQ4bodI8PlxEQX3RY5053Oo8YIZOgFZOgE8/diPwO39AJMqNphLlAuIUghIUhZ5LvNz/4iUGIjqxFALqDPBa65uvAC/Hv0DjyPVZPCpMRVrQwymJd/1hslXM+TUF9t4jmtggQADXwEl2WqO61u61Cw1Wq1WLZsGZo0aYIhQ4bgyJEjmDVrFoxGI8LDw7Fy5UqHVicrS3R0NBo2bIjevXsX26dSqZCbm2u3TafTQa1WAzCH3KIhVq/XIzAwsMzbdNXSv7HxF9AonINVqjKDScLZC1egCg6zzs1qt5hAQYtrbhXvF2BZrrVwPtbCWQMsy7UGq2VQVMGFBAoHq+SjYaCKg1WquMuJiXxdraKUCemA1gjIAEGSIAkCYDK/lzcKr+fu8uguGFOvuCxT3YlDwfbjjz/G/v37MX36dADAypUr0aRJE7zwwgtYvXo1Vq5ciXnz5lWokO+//x7p6eno3r07AHMwNZlM6N69O1544YVi/wlkZGQgODgYAFC7dm2kp6fb7U9PT0eTJk0qVFNFHUzWYHlsDm7mqOGn5qhPTyRJEnINElI1jizX6gPglrtLviulLdcaagmwBath+Su8sy8rB6sQeY5cg4R6vgIy8iXoTOZuS0G+QpVvGCDP4FCw/d///odXX30VAwYMwMWLF5GcnIwFCxbgkUcegU6nw0cffVThQtasWQODwWD9fdu2bfjzzz8xf/583LhxAxs2bIBGo4GPjw8A4MyZM4iIiAAARERE4PTp09bLarVaxMfHY/To0RWu624dTNZg2oksKGVAgFxCGt9IXc6yXGtpU1tZBmVpjFX7xdRXLhQLqHaDsLhcKwerEHmQMF8R6Voj7qkhQqfLh1KpgtZgQh216O7SyAs4FGxv3bplbf389ddfIYoiOnXqBMA8SCsvL6/ChdSrZ//xQ40aNaBSqdCwYUOEhYWhbt26mDdvHsaOHYuff/4ZcXFxmDVrFgBg4MCB2LJlC9atW4cePXpg3bp1qFOnDjp27Fjhuu7W8tgcKGWAr1wGgW+klUqSJGTrJfsVryyDr2wGYlX15VplAEKsLayFA69sA2uojwz+XK71jq7lGRGosA/2apGDVYjcYWQzXyw+mw0YTJBJgNZggl4ybyeqKIeCbZ06dZCUlIQHH3wQR48exf333w9/f38A5pbTOnXqOLVIURSxZMkSvPvuuxg1ahTq16+PxYsXIywsDAAQFhaGRYsWYdmyZVi/fj0iIiKwZMkSty7OkJhjRC0l30jLS2+SSpjayj6wpmqNyK/iD6OfXLDru1q0hbW2jwxBXK610lhaiNQ2q4lpjRLCfNlCRORqXeqq8BZQ0OfdgIZ+IrvqUaVxKNj27dsXK1euxJEjR3D69GlrS+mSJUvw3//+F2PHjq30wiZMmGD3e8OGDbF27dpSj+/cubNLl/y9k3B/ESkaI3z5RgqgcLnWMrsFaI24lV+V21gBUYDdwCvbwFrbOuWVDL5ytrK6EluIiDxLl7oqdKmrKhgEWNfd5ZAXcSjYjh07FnK5HGfPnsVrr72GgQMHAgD++usvjBgxAi+88IIza6ySJrf2x7QTWYDBhADBu99I841SQWuqbbcAm+VbC8Krroov1+ovSqjjJ7db8arocq21VAJkbGX1OGwhIiKqHoTMzMyq3UTmwQpnRdDBT62ocm+k1WW5VrmAgpZVsZTuAeZ9N65e4fRCXoDTRHkHnkfvwPPoHYypV9C8qXtnorJweIEGk8mEQ4cO4cSJE0hLS8Obb76J2NhYREREIJxPyhL1aeCDPg18EBt/AT51aru7HDtFl2stNi+rly3XWtg9wH7gVW0fEYFKtrKSd7DM1Xstz4gwX7ZKE1H141CwzcnJwZQpU3Du3DmEhIQgPT0deXl52LdvHz788EOsWbMGzZo1c3at5ADLcq22/VYLw2vhkq3eslyrpR9rbS7XStWc7Vy9gQqBc/USUbXk8AINly9fxqeffopWrVqhS5cuAIAFCxZg0qRJWLt2LT788EOnFkpAnsFks3hAYVeAVJt+rGlaE6r4tKyopRIKuwVYWliLBNZApXcuJEB0t2zn6gVgngGCUwx6HQGATBAgEwCZAMhtfhYFQLT53QTAZDJ3KzNIgFECjCbzzwaTVKWnQyQqjUPB9siRI5gwYQLatGkDo7FwnqWaNWti5MiR+OCDD5xWYHVgMEnIyDeVuOKV7awBVX1VFpUIu4FXJbW2BqvYykp0NzhXr+sJAAQIEGWFIVMQzNuLKho8RZn5Z9tjbV/hLdttr08AIFbSQitSQdjVmyQYTeb3IXPgBQySeZtRMlckCub7KBcEyGWAQmZft20bgySZL2eUAFPBl0GSrD+bJAZqci6Hgm1ubi5q1y65j6ivry80Gk2lFuVNDCYJl/ME3E7V2c0aYAmvN7UmpGtNqMoTBggAglSy0gdeeflyrUSegHP1VowlpAoFrZ3mllHzQimizBzo5IIAmQxQFAQ8UUCVfU0TBAEKwRxSSyMVBNvKvI9SQeg1FgTgPLX5EzqDJMFgKmxRNhXsZwim8nIo2N53333Yv38/unbtWmzfjz/+iKZNm1Z6Yd4iU2fC86dVADLdXcpdsSzXGlpCtwDLoKyQar5cK5EnsJ2rVy0K0Bolr51i8G6JggClDFCJAuQywdyCatMSyUGk9pwR2gVBgFywhA8BPoIJgarS5/W2BF2jVLxlWW8yh+GqvcYkVTaHgu3o0aMxbdo0vPrqq+jevTsEQcBvv/2Gb775Brt378aCBQucXWeVFaySQSFI0Eue9YIpAxBsmRmgyHKtlhZWLtdKVHXYztVb3WdFEAVzaFXIBKhEQCEKUItCma2T5JlEmQDzZw6lnzujSYLepguFQSr4vSD4suW3enF4HtuDBw9ixYoVSElJsW4LCgrCK6+8ggEDBjitQG/Q8vMkXM93XUC0Xa41VF0YUm2Xa62lYitreXG+Re/A81i1yQr6tF5LvoIm4eHmLgIFra9ymQAFW16rlISEBKd/6itJhcHXJJn7MkuS+Qsw/643SdAZObDublXJeWz79OmDPn36IDExEVlZWfD390ejRo0gk7FF706ClcD1/Ipfj2W51tAiLaxcrpWIvIEAcziVF4RUS79W2+4Cln/IdXIjarP/MDlAEAQoRUBZRquvLZMkQWcE9JIEg1GCzgTobFp/ybM5HGwBQKPRWBdjOHLkCE6cOIGoqCg0bNjQKcV5i1Dlnf8QAhQCQmwGXtVWy4qthlVLJYPIlggiqqJsw6m8oKuArCC0Kqr4YCzyHjJBgFoOqCEACvt9BpNkDbn6gi4QOiP7+noSh4JtcnIypkyZgkceeQQTJkxAdHQ0oqOjIUkS1q5di48//hgRERHOrrXKus/PhHRJXeZyrbYjmYmIqjpRMPdrVYnmwVo+cq7wR1Wf+ZOEkp/Hlj69epuBbvqCeYSNnOnBZRwKtitXroRer0eXLl1gNBqxfft29OzZE9OnT8fcuXOxevVqfPzxx86utcoa2dCI8XVqubsMIqJKJUPhvKaW76IAKEUBKs5HTdWMpfuM+g5dHkxF+/oWbLf8bJIkmFDYD1iCuVU43yRBb2TL8J04FGxPnTqFadOmoU2bNjh79iyysrLwzDPPoGbNmnj66afx9ttvO7tOIiJyIxkKW18tX1xMhaj8LCvHla7suYXzjeY+vzqjhHyj+XeG3UIOBdv8/HzUqmVucTxx4gR8fHzQtm1bAIAoiuwTRUTkJWQQoBABpcw856tcFKCUsQWWyBMItv1/C9iG3XyjZJ7DuhqHXYeCbaNGjRATE4P27dvjhx9+wIMPPgi53HzR/fv3WweUERFR1aKQCfARBajl5j6xbIUlqhwHkzVYHpuDxBwjwv1FTG7tjz4NfCr9dkoLu3oTCrovFMzsUE0GuTkUbEeOHInZs2dj+/bt0Gq1mDFjBgDghRdewN9//4333nvPqUUSEVHFyQVLFwJzlwK1WPpAGCK6eweTNZh2IgtKGVBLKSBFY8S0E1n44CE4JdwWZZ3iTCw+s4O3L2jhULDt3bs3QkJCcO7cOTz44INo1aoVAKBDhw4YP348Hn74YacWSURE5aMo6D6gkhWuvMUQS+Qay2NzoJTBOq+8r1wADCYsj81xSbAtiygzzw1dWl9e2wUtDKbCIGyUzN0djB7e6uvwPLbt2rVDu3bt7LZNnjy5sushIqJysO0TqxLN88GqRQEiQyyR2yTmGFFLaf836CMKSMwxuqkixzmyoIXt1GYmE3DDg4Kuw8H23LlzOHXqFPR6PaSClTdMJhM0Gg3OnDmDTZs2Oa1IIqLqzhJg1QWDueQy88eMCgZYIo8T7i8iRWM0t9QW0BglhPt7x2p5Rac2S61qwXb79u1YunSpNdDakslk7IpARFTJLIO6CqfX4qpcRFXF5Nb+mHYiCzCY4CMK0BQM4Jrc2t/dpXk9mSMHff311+jUqRMOHDiA559/Hk8++SSOHj2KBQsWQKlU4tFHH3V2nUREXk0hE1BDIUNtHxHhNeQIryFHbV8RgSoZ1HKBoZaoCunTwAcfPBSIOj4ibukk1PER8cFDgW7vX1sdONRie+3aNUyaNAmBgYFo1aoV1q5dC7VajV69euHSpUvYvn07+vbt6+xaiYi8hgzmZWZ95ebvnGaLyLv0aeDDIOsGDrXYKhQKqFQqAEDDhg2RlJQEg8EAAGjTpg2uXLnivAqJiLyEQiagplKGer4i7g0QUc/P3CLLUEtEVDkcCrbNmjXD0aNHAQD33HMPACAuLg4AkJqa6qTSiIiqNoVMQIBChjo+IhoVdC8I8RHhp5CxawERkRM41BVh2LBhmD59OrKzszF//nz06NEDb7/9Nrp3744DBw4UmwaMiKg6EgX77gWcsYCIyLUcarHt0aMHPvzwQ9x3330AgOnTpyM8PBy7du1C48aNMW3aNKcWSUTkqZQyAbVUMoT5iWhUQ0RdXxEBShlDLRGRGzg8j23Xrl3RtWtXAEBgYCBWrFjhtKKIiDyVvKBV1oetskREHueOLbZXr17FhQsXim3/+OOPkZiY6JSiiIg8hQwCfOUyhKhFNPCTo1GAHHXYKktE5JHKDLZffvkl/vWvf+Gbb76x237t2jVs3rwZzz77LHbu3OnM+oiIXE5pM3tBowARYX4iahbMJ0tERJ6r1GB78uRJLF26FD169MCwYcPs9oWFheGbb75Bt27dsHDhQpw7d87phRIROYtcsF8c4R6b2QtknL2AiKjKKDXYbt26FZ07d8aCBQtQv379Yvvr1auHRYsWoXXr1tiwYYMzayQiqlQymJerZfcCIiLvUmqwjY+PR//+/e94BU899RTi4+MrtSgiosqmkAkIVMpQVy2gUYCI+v5ydi8gIvIypc6KkJeXh4CAgDteQUhICG7fvl2pRRERVQalTECAUgZfmyVrMwUTuxcQEXmpUoNt3bp1cenSJURGRpZ5BYmJiQgNDa30wojIdY7dyMem+DxcyzMizFfEyGa+6FJX5e6y7opCJsBfIcBfIYOKS9USEVUrpXZFiIqKwldffQWtVlvqhbVaLb7++ms88MADTimOiJzv2I18LD6bjXStEYEKAelaIxafzcaxG/nuLs1hKrFwkYTwGnIEq0WGWiKiaqjUYPvss88iJycHr776Kv78889i+8+fP49JkyYhNTUVw4cPd2qRROQ8m+LzoBAAtVwGCALUchkUgnm7p7JMx1XXV8S9NeRo6G8Os75yhxZTJCIiL1VqV4SQkBB88MEHmDFjBl588UXUqlULYWFhMJlMuH79OjIzMxEUFIRFixahUaNGLiyZiCrTtTxzS60ttSjgWp7RTRXZk0GASgR85AJUogC1KEDkzAVERFSCMpfUbd26Nb744gvs27cPx48fR0pKCkRRREREBB566CH07dsX/v7+rqqViJwgzFdEutZoNzuA1ighzFd0W00qUYCfXICPXAa1CAgc7EVERA4oM9gCgL+/P4YOHYqhQ4c6vZjk5GQsXboUZ8+ehY+PD3r37o0JEyZApVLh+vXrWLBgAc6ePYu6devi9ddfR+fOna2XjYmJwdKlS5GUlIT7778fM2fORMOGDZ1eM1FVN7KZLxafzQYMJqhFAVqjBL1k3u4qoiDAVy7AR27+LmeLLBER3QWP6ZCm1+vx5ptvQqlUIjo6GvPnz8fRo0exevVqSJKEqVOnIjAwEBs2bED//v0xffp0XL16FQCQkpKCqVOnom/fvti4cSOCg4MxdepUmEwmN98rIs/Xpa4Kb7WtgWC1iCy9hGC1iLfa1nD6rAhqUUCQSob6fnI0qiFaF0hgqKWyHEzWYOC3N/HEb2oM/PYmDiZr3F0SEXmQO7bYusoff/yBpKQkrF+/Hr6+vrj33nsxfvx4fPTRR+jSpQuuXLmCTz75BH5+fmjcuDFOnjyJ3bt3Y8KECdi5cyeaNm2KkSNHAgBmz56Nfv36ISYm5o7TlRGROdw6O8jKhcIWWV85+8lS+R1M1mDaiSwoZUCAXEKKxohpJ7LwwUNAnwY+7i6PiDyAx7TYhoeH46OPPoKvb+HHn4IgQK/XIy4uDs2aNYOfn591X9u2bREbGwsAiIuLQ/v27a371Go1mjdvbt1PRO6hFgUEq2R2y9bWUMoYaumuLI/NgVIG+MplEATzd6XMvJ2ICCijxTY/Px8qlesmaK9Vq5Zd66rJZMJXX32Fdu3aIS0trdgiEEFBQUhNTQUApKWlISQkpNT9ROQaMphbZf0U5sFfDLBUmRJzjKiltH9O+YgCEnM8YwYPInK/UoPtE088gffffx/t27dHdHQ0Bg4ciDp16rissI8++gh///03NmzYgM8//xwKhcJuv1KphF6vB2BeKEKpVNrtVygU0Ol0Zd5GQkJC5RZdKhkuJya66LbImXgeixMFc4hVixJUggQjJHh6+5nr/vapMtUWVUjTAD4FE3bk52uhMQK1lTynVRnPnXdw1Xls2rRpmftLDba5ubm4ffs2ACA6OhqRkZEuCbaSJGHp0qX4+uuvsXDhQjRp0gQqlQq5ubl2x+l0OqjVagDmkFs0xOr1egQGBpZ5W3d6cCpLbPwFNAoPd8ltkfNcTkzkebThIwqooZTBXyFAVoWm40pISHDZ3z5Vruk+5j62RhkgM+hgkisBAZgeGYim7GNbJfHv0Tt40nksNdg2btwY8+fPR+PGjSFJEhYtWmTXx9WWIAhYu3ZthYsxmUx499138d1332HBggXo3r07ACA0NLTYfwIZGRkIDg4GANSuXRvp6el2+9PT09GkSZMK10REhRQyATUUAvwVMii5ZC25WJ8GPvjgIXOf2gu3BDSpIWJya38OHCMiq1IHj7399tvo2LEj5HI5BEGATCaDKIolfslklTMG7aOPPsL333+PRYsWoWfPntbtERERiI+Ph0ZTOK3LmTNnEBERYd1/9uxZ6z6tVov4+HjrfiK6e4qC5WvD/ESE15AjSC0y1JLb9Gnggz39QrGroxZ7+oUy1BKRnVJbbJs0aYKFCxcCADp16oRp06ahTZs2TiskNjYWX3zxBV555RW0bNkSaWlp1n0dOnRA3bp1MW/ePIwdOxY///wz4uLiMGvWLADAwIEDsWXLFqxbtw49evTAunXrUKdOHXTs2NFp9RJ5M4VMgL9CgK9cBh85QywREVUNDs1j++uvvwIwdxW4dOkSsrOzUbNmTYSHh1faUpeHDx8GAHz88cf4+OOP7fYdP34cS5YswbvvvotRo0ahfv36WLx4McLCwgAAYWFhWLRoEZYtW4b169cjIiICS5YsqbSWZCJvJwoC1GLh6l9skSUioqpIyMzMlBw5cP/+/Vi+fDkyMzOt22rWrIlXXnkFAwcOdFZ9XiE2/gJ86tzj7jKogrxt8JhKFOAvF6CWy6AWUWn/pHo6TxrkQOV3MFlT0MdWiya11OxjW8Xx79E7eNJ5dKjF9ujRo5g3bx4eeOABPP744wgODsbNmzfx7bff4r333kNgYCC6devm7FqJqIJ8RPPAL1+FAAXnmKUqhiuPEdGdOBRs161bh549e1r73FoMGjQI//73v7Fx40YGWyIPZQmzfgoBcoZZqsJsVx7LN5q/w2DC8tgcBlsiAuDgkroXL15E//79S9zXv39//PPPP5VaFBFVjI8oIFQtolENOer7yxGokjHUUpWXmGOEj8iVx4iodA612NaqVQtZWVkl7svMzCy26hcRuZYMAtRy8wpgbJklbxXuLyJFY4SvzUwdGqOEcH/RjVURkSdxqMW2Y8eOiI6OxtWrV+22X716FdHR0ejUqZNTiiOi0omCgBoKGer6imgUICLMT2TLLHm1ya39oTMBeQYTJMn8XWcybyciAhxssZ0wYQJeeOEFDB06FK1atUJwcDDS09Nx/vx5BAQE4JVXXnF2nURuc+xGPjbF5yEpS4WGibcwspkvutRVuaUWuWCekstPYf5eXWYyIAK48hgR3ZlDwTYkJASbNm3C1q1bcfr0acTHxyMwMBBDhw7F8OHDrUvbEnmbYzfysfhsNhQC4C+XkK41YvHZbLwFuCzcyoXCIMswS9VdnwY+6NPAp2B6oYbuLoeIPIxDwRYAgoKCMGnSJGfWQuRxNsXnQSEAarkMOpP5OwwmbIrPc2qwtYRZP4UAH5FhloiIyBEOB1ui6uhanhGBCvtQqRYFXMur/FHYbJklIiKqGAZbojKE+YpI1xqhthmFrTVKCPOtnFHY7DNLRERUeRyaFYGouhrZzBd6CdAaTEDBd71k3n63REFAgEKGer4iwmuIqO0rwk8hY6glIiKqILbYEpWhS10V3gIKZkUwoKGfeFezIohC4RyzbJklIiJyDgZbojvoUleFLnVVuJyYiEbhdR2+HMMsERGRa1W4K0JKSgqio6MroxaiKs9u0QR2MyAiInKpCgfbGzdu4NNPP62MWoiqpKJhto6vCH+GWSIiIpercFeEVq1aYefOnZVQClHVIdrMZuDHbgZEREQeocLBVqFQoF69epVRC5FHs7TMMswSERF5JoeDbX5+Pnbt2oXff/8d2dnZqFmzJtq1a4eBAwdCrVY7s0Yit5GhcAUwSS2hTiXNX0tERESVz6Fgm5WVhQkTJuDChQuoW7cugoODkZSUhB9++AFff/01oqOjUaNGDWfXSuQSYpFFE2TWllnJrXURERFR2RwKtqtWrUJqaipWr16NDh06WLf//vvv+Pe//401a9Zg2rRpTiuSyNmUMnOQ9ZEL8BHZzYCIiKgqcmhWhKNHj2L8+PF2oRYAOnTogLFjx+Lo0aNOKY7IWWQQ4CeXIVQtIryGHPfUkCNYLcJXztkMiIiIqiqHWmy1Wi3q169f4r769esjKyurUosicgaFzNy1wEdetIsBEREReQOHWmwbNWqEH3/8scR9R48eRYMGDSq1KKLKIADwEQWEqEU09JcjvIYcoT7mOWYZaomIiLyPQy22zz33HGbNmgWj0YhHH30UwcHBSE9Px/fff4+9e/di+vTpzq6TyCG2A798RAGijAGWiIiounAo2Pbp0wdXrlzBhg0bsGfPHgCAJElQKpV46aWX8NRTTzm1SKKyyIXCGQx8Ob8sERFRteXwPLYvvfQShgwZgtjYWNy+fRuBgYG4//77ERAQ4Mz6iEqkkJkXSfBVCPCVV3hlaCIiIvIC5Vp5rEaNGujcubOzaiEqk0ImwF9hns1ALWerLBEREdkrNdhOmDDB4SsRBAGrVq2qlIKIbClkAmooBPgpZFCJDLNERERUulKDrcFguOOFL1y4gNzcXMhk/CiYKo9cKGiZVcjgw5ZZIiIiclCpwfbTTz8t9UK5ubn46KOPcO7cOdxzzz14++23nVIcVS/+ChlqKDgAjIiIiO5OufrYAkBMTAzeeecdpKamYujQoXjllVegUqmcURtVAwqZgACFgBpKGeScmouIiIgqwOFgq9VqsWLFCvz3v/9FvXr1sGrVKrRv396ZtZEX85PLUEMpwF/BbixERERUORwKtmfOnME777yDq1ev4umnn8akSZOgVqudXRt5GbbOEhERkTOVGWx1Oh1WrVqFL774AnXq1MHKlSvx4IMPuqo28gIymBdPqKHkfLNERETkXKUG2z/++APz5s3DlStX8MQTT+D111+Hj4+PK2ujKsxPLiuY2UCAjAPBiIiIyAVKDbZjxoyBJEnw9/fHpUuX8Nprr5V6JYIgYO3atU4pkKoOlSggQCGDn0JgVwMiIiJyuVKDbdu2bTnlEt2RShRQQyGDr1yAkgsoEBERkRuVGmzXrFnjyjqoClHarAbGMEtERESeotzz2FL1ZAmzvlzaloiIiDwUgy2VSikrXNqWYZaIiIg8nVcFW51OhyVLluDQoUNQKBQYPnw4Ro4c6e6yqhSFTTcDhtnq42CyBstjc5CYY0S4v4jJrf3RpwFnQSEioqrFq4Lt8uXLce7cOaxcuRKpqamYO3cu6tati0cffdTdpXk0haVlVi6DWs4wW90cTNZg2oksKGVALaWAFI0R005k4YOHwHBLRERVitfMmK/RaLBr1y688cYbaNmyJbp3744RI0bgq6++cndpHkkhE1BLJUMDPznCa8gRrBYZaqup5bE5UMoAX7kMgmBeSEMpM28nIiKqSrwm2CYkJECn06Ft27bWbe3atcP58+dhMBjcWJnnUMgE1FTKUJ9hlmwk5hjhU6TbiY8oIDHH6KaKiIiI7o7XdEVIS0tDQEAAVCqVdVtQUBD0ej0yMzMREhLixurcRyET4Cc395n1YYilEoT7i0jRGOFr8/zQGCWE+4turIqIiKj8vCbYarVaKJVKu22W33U6XYmXSUhIcHpdZjJcTkx00W2ZZzPwlQO+MgAyCbckCbdcduvezXXPGdd5JkiGxReU0MkkqGWA1gToTQKeqZ+LhIRMd5fnFN54HqsjnkfvwPPoHVx1Hps2bVrmfq8JtkqlsliAtfyuVqtLvMydHpzKEht/AY3Cw516G3JBgJ/C/OUr95oeJh4lISHBZc8ZV2oKIKy+zawIgd49K4K3nsfqhufRO/A8egdPOo9eE2xr166N7Oxs6PV6KBQKAEB6ejqUSiUCAgLcXJ1zyGCZZ1aAr1zgEsh01/o08PHaIEtERNWH1zTtNWvWDAqFAufOnbNuO3v2LFq0aAG53GvyOwBzv9lglQzhNUTU9hXhp5Ax1BIREVG15zXBVq1W4/HHH8fixYvxxx9/4Mcff8SWLVswdOhQd5dWadSigDo+Iu7xF1FLLUKUMcwSERERWXhVU+aUKVOwcOFCTJw4EX5+fhgzZgz69Onj7rIqrIZChgAlZzUgIiIiKotXBVu1Wo25c+di7ty57i6lwuSCgAClgAClDHK2zBIRERHdkVcFW2+glAkIVMoQoORgMCIiIqLyYLD1EH5yc5j1U3hNt2ciIiIil2KwdSNREFBDYe5uoBTZOktERERUEQy2bqCQCaiplKGGUoCM3Q2IiIiIKgWDrQv5iAICVTL4s7sBERERUaVjsHUBhQA09JdDxe4GRERERE7DpkMXEGFiqCUiIiJyMgZbIiIiIvIKDLZERERE5BUYbImIiIjIKzDYEhEREZFXYLAlIiIiIq/AYEtEREREXoHBloiIiIi8AoMtEREREXkFBlsiIiIi8goMtkRERETkFYTMzEzJ3UUQEREREVUUW2yJiIiIyCsw2BIRERGRV2CwJSIiIiKvwGBLRERERF6BwbYS6HQ6LFiwAL169ULfvn2xadOmUo+Nj4/H6NGjERUVhZEjR+L8+fMurJTKUp7zePDgQTz77LPo1q0bhg8fjp9++smFlVJZynMeLbKystC3b1/s3bvXBRWSI8pzHi9fvowJEyYgKioKTz/9NA4fPuzCSqks5TmPp0+fxsiRI9GtWzc899xzOHHihAsrJUfodDo8++yzOHnyZKnHuDvnMNhWguXLl+PcuXNYuXIlZsyYgfXr1+PAgQPFjtNoNHj99dcRERGBTZs2oV27dpgyZQpyc3PdUDUV5eh5PH36NObMmYNnn30WW7duxRNPPIG33noLf//9txuqpqIcPY+2li5dioyMDBdVSI5w9Dzm5eXh1VdfRe3atbF161YMGTIEs2bNwsWLF91QNRXl6HnMyMjAm2++iV69euHzzz9H7969MW3aNFy/ft0NVVNJ8vPz7/i35Qk5h8G2gjQaDXbt2oU33ngDLVu2RPfu3TFixAh89dVXxY49ePAg5HI5Xn/9ddx7772YMmUK/P39cfDgQTdUTrbKcx737duHRx55BE8++SQaNmyIoUOH4sEHH+R59ADlOY8Wx48fx/nz51GrVi0XVkplKc953L9/P0RRxOzZs3HPPfdg6NCh6NSpE2JjY91QOdkqz3k8e/YsAGDUqFFo0KABXnzxRahUKsTFxbm6bCrBxYsXMXr0aCQnJ5d5nCfkHAbbCkpISIBOp0Pbtm2t29q1a4fz58/DYDDYHRsXF4c2bdpAJjM/7IIgoE2bNnwB9gDlOY9DhgzB6NGji12HTqdzep1UtvKcRwDIzc3FwoULMWPGDCgUCleWSmUoz3mMiYlBt27dIJfLrduWLVuGJ554wmX1UsnKcx4DAwORk5ODH374AZIk4X//+x/y8vJw3333ubpsKsGZM2fQqVMnrFu3rszjPCHnMNhWUFpaGgICAqBSqazbgoKCoNfrkZmZWezY0NBQu21BQUFITU11RalUhvKcx2bNmqFx48bW3y9cuICYmBi0b9/eVeVSKcpzHgFgxYoVePjhh9GhQwcXVkl3Up7zmJycjFq1amHRokXo168fnn/+efZ59xDlOY/t27fHv/71L8ycOROdO3fGW2+9henTp+Pee+91cdVUksGDB2Py5MlQq9VlHucJOYfBtoK0Wi2USqXdNsvvRVvwtFptsVYhpVIJvV7v3CLpjspzHm1lZGTgrbfeQrt27dC9e3en1kh3Vp7z+Pvvv+Pnn3/GpEmTXFYfOaY85zEvLw9btmxBjRo18NFHH6F3795466238Oeff7qsXipZec6jRqPBtWvXMHr0aGzYsAGvvvoqli5dyk80qxhPyDnyOx9CZVEqlcX+QC2/F/3PRqVSFTu5Op3ujv8BkfOV5zxapKSkYPLkyRBFEe+//771oxdyH0fPo1arxXvvvYc333wT/v7+Lq2R7qw8f4+iKKJJkyaYOHEiAKB58+Y4c+YMdu7ciZYtW7qmYCpRec7jli1boNfrMX78eADm83jx4kWsW7cOy5Ytc03BVGGekHP4TlxBtWvXRnZ2tt2JTE9Ph1KpREBAgN2xoaGhSE9Pt9uWnp6O4OBgl9RKpSvPeQSAq1evYty4cQCA1atXo2bNmq4qlcrg6Hk8f/48kpKSMHfuXHTv3h3du3fHzZs3sXDhQrz//vvuKJ1slOfvMSQkBI0aNbLbFh4ejhs3briiVCpDec7j+fPn7bp4AUDLli1x7do1l9RKlcMTcg6DbQU1a9YMCoUC586ds247e/YsWrRoYTeYAQAiIiJw7tw5SJIEAJAkCbGxsWjdurVLa6biynMes7Ky8Oqrr8Lf3x9r167lPyYexNHz2KpVK+zYsQNbtmyxfgUFBWHcuHHWFiNyn/L8PbZu3brYVHuXLl1CvXr1XFIrla485zEkJAT//POP3bZLly6hfv36LqmVKocn5BwG2wpSq9V4/PHHsXjxYvzxxx/48ccfsWXLFgwdOhSAuSO1VqsFADzyyCPQaDRYsmQJLl68iGXLliE3Nxd9+vRx510glO88rl69GpmZmZgzZw4MBgPS0tKQlpaGnJwcd94FguPnUa1Wo2HDhnZfoigiKCgIQUFBbr4XVJ6/x8GDB+PKlStYsWIFkpOTsW3bNpw8eRJPPfWUO+8CoXzn8amnnsLp06exadMmXL16Fbt27cLevXsxbNgwd94FcoCn5RwhMzNTctmteSmtVouFCxfiyJEj8PPzw3PPPYfnnnsOABAZGYm3334bAwYMAGD+uOX999/HpUuXcN9992H69OnsB+YhHD2Pffr0QVZWVrHL9+3bF/Pnz3d12VREef4ebQ0YMAAvv/xyifvI9cpzHmNjY/Hhhx/in3/+Qf369fHKK6+gW7du7iyfCpTnPB47dgxr165FYmIiwsLCMHbsWDzyyCPuLJ9KEBkZiZUrVyIyMtL6uyflHAZbIiIiIvIK7IpARERERF6BwZaIiIiIvAKDLRERERF5BQZbIiIiIvIKDLZERERE5BUYbImIiIjIKzDYEhFVEQsWLEBkZCTWrFnj7lKIiDwSgy0RURWg1Wpx8OBB3Hfffdi1axcMBoO7SyIi8jgMtkREVcAPP/wArVaL6dOnIz09Hf/73//cXRIRkcdhsCUiqgJ2796Ntm3bom3btmjRogV27NhR7Ji9e/di6NChiIqKwogRI3Dq1Ck8/PDD2Lt3r/WYlJQUzJ49G71790ZUVBTGjx+P2NhYV94VIiKnYbAlIvJwV65cwZkzZ/D4448DAAYMGIBTp07h8uXL1mP27duH+fPn4/7778f777+Pbt264c0334TJZLIek5mZiTFjxuDcuXN47bXXMH/+fIiiiIkTJ+LPP/909d0iIqp0DLZERB5uz5498PHxQe/evQEAffv2hVKpxH//+1/rMWvXrkWXLl3w9ttvo2vXrhg3bhxGjRoFSZKsx2zbtg0ZGRlYsWIFBg4ciJ49e2L58uUICwvDqlWrXH6/iIgqG4MtEZEHMxqN2LdvH6KiogAAeXl5kMvl6Ny5M/bt2wetVoukpCTcuHEDvXr1srts37597X7/7bff0KRJE4SFhcFgMFgHoEVFReH333+HXq93zZ0iInISubsLICKi0h0/fhxpaWk4cOAADhw4UGz/gQMH0KhRIwBAzZo17fYFBQXZ/Z6VlYWkpCR07ty5xNvKzMxEaGhopdRNROQODLZERB5s9+7dqFOnDt55551i++bMmYMdO3Zg8eLFAICMjAy7/bdu3bL73d/fH23btsWUKVNKvK2iwZiIqKphsCUi8lAZGRk4duwYnn32WbRr167Y/n79+mHdunVIT09HgwYNcOTIEQwaNMi6/9ChQ3bHP/DAA9i3bx8aNmyIGjVqWLcvX74cN2/exPz58512X4iIXIF9bImIPNT+/fthMBjw2GOPlbi/f//+AIAdO3Zg3LhxOHbsGN555x0cO3YMGzZswCeffAIAEAQBADB8+HAIgoAJEybg22+/xYkTJ7Bo0SJs2bIFjRo1sh5HRFRVCZmZmdKdDyMiIlcbOnQoTCYTvvrqq1KPGTt2LP766y/s27cPhw4dwpYtW3Djxg00btwYQ4YMwTvvvINFixahZ8+eAICrV69i1apV+PXXX5Gfn48GDRrg6aefxjPPPOOqu0VE5DQMtkREXmD//v1o2bIl7r33Xuu2n376CW+++Sa2bduGJk2auLE6IiLXYB9bIiIvcPDgQaxduxbjxo1DnTp1kJycjOjoaERGRjLUElG1wRZbIiIvkJmZiY8//hi//PILbt26haCgIPTq1Qvjx4+Hj4+Pu8sjInIJBlsiIiIi8gqcFYGIiIiIvAKDLRERERF5BQZbIiIiIvIKDLZERERE5BUYbImIiIjIKzDYEhEREZFX+H/oyGh8DU+kngAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Regression\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=NCDC_external[\"Age\"], y=NCDC_external[\"No. of Cases (Lab Confirmed)\"], data=NCDC_external).set_title('Age and infection Pattern in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "143c42d6", + "metadata": {}, + "source": [ + "The above plot displays the association between number of confirmed cases and age of populations. Though it can be infered from the regression trend that susceptibility to the covid infections are generally associated with elderly group in populations, many outliers indicates that many other age categories also were captured in high and low number of recorded lab confirmed cases." + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "id": "75ed56aa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Age\", y=\"No. of Deaths\", data=NCDC_external).set_title('Age and Mortality in States in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "5baf5607", + "metadata": {}, + "source": [ + "Apparently, the number of deaths tends to be more in the younger population because they are more in the overall population compared to the elderly group. The trendline of the regression does however indicate that the number of deaths recorded among the elderly group is still significant because they are less in population compared to the younger populace. " + ] + }, + { + "cell_type": "code", + "execution_count": 152, + "id": "6110820e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Bar plot for Mortality and Health Systems\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.barplot(x=\"Health System\", y=\"No. of Deaths\", data=NCDC_external).set_title('Mortality and Health System')" + ] + }, + { + "cell_type": "markdown", + "id": "bc686c82", + "metadata": {}, + "source": [ + "From the bar plots above, it is not clear whether health systems in states in Nigeria had any significant influence on the number of deaths recorded during the covid crisis." + ] + }, + { + "cell_type": "code", + "execution_count": 153, + "id": "a0805c69", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Bar plot for Discharged cases and Health Systems\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.barplot(x=\"Health System\", y=\"No. Discharged\", data=NCDC_external).set_title('Discharged Cases and Health System')" + ] + }, + { + "cell_type": "markdown", + "id": "70262c2a", + "metadata": {}, + "source": [ + "Health systems of a country may influence the overall health impact of coroner virus. Higher system indices show that health crisis mangagemnt are more effective and therefore there are chances that there will be higher number of discharged cases.\n", + "So far from the barplot, it is inconclusive to say that the health system of Nigeria influenced the number of covid discharged cases in Nigeria. This is further highlighted by the large error bars which indicates higher measure of dispersion from any possible trend." + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "id": "76e60106", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Health System in States')" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting Health System in States\n", + "plt.figure(figsize = (8,12))\n", + "sns.barplot(x = NCDC_external['Health System'], y = NCDC_external['states'], data = NCDC_external, color = 'green').set_title('Health System in States')" + ] + }, + { + "cell_type": "markdown", + "id": "849a37e6", + "metadata": {}, + "source": [ + "TODO L -\n", + "Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", + "Steps\n", + "\n", + ">From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", + ">Hint: Use Pandas.melt to create your plot DataFrame\n", + ">Set your quarter legend to lower left.\n", + ">Using axhline, draw a horizontal line through the graph at the value of Q2 2020.\n", + ">Write out your observation\n" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "id": "81e7c755", + "metadata": {}, + "outputs": [], + "source": [ + "#Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", + "#From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", + "#Hint: Use Pandas.melt to create your plot DataFrame\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "id": "71e84fea", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearQ1Q2Q3Q4
0201415438679.5016084622.3117479127.5818150356.45
1201516050601.3816463341.9117976234.5918533752.07
2201615943714.5416218542.4117555441.6918213537.29
3201715797965.8316334719.2717760228.1718598067.07
4201816096654.1916580508.0718081342.1019041437.59
5201916434552.6516931434.8918494114.1719530000.00
6202016740000.0015890000.0017820000.000.00
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" + ], + "text/plain": [ + " Year Q1 Q2 Q3 Q4\n", + "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", + "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", + "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", + "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", + "4 2018 16096654.19 16580508.07 18081342.10 19041437.59\n", + "5 2019 16434552.65 16931434.89 18494114.17 19530000.00\n", + "6 2020 16740000.00 15890000.00 17820000.00 0.00" + ] + }, + "execution_count": 156, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Declaring the dtat set to be used\n", + "RealGDP" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "id": "dd8ef945", + "metadata": {}, + "outputs": [], + "source": [ + "#Restructuring the RealGDP dataframe for easy readability and accessibility\n", + "Q_RealGDP= pd.melt(RealGDP, id_vars=['Year'], var_name='Quarter', value_name='Amount in Billion(N)')" + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "id": "994c4a99", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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YearQuarterAmount in Billion(N)
02014Q115438679.50
12015Q116050601.38
22016Q115943714.54
32017Q115797965.83
42018Q116096654.19
52019Q116434552.65
62020Q116740000.00
72014Q216084622.31
82015Q216463341.91
92016Q216218542.41
102017Q216334719.27
112018Q216580508.07
122019Q216931434.89
132020Q215890000.00
142014Q317479127.58
152015Q317976234.59
162016Q317555441.69
172017Q317760228.17
182018Q318081342.10
192019Q318494114.17
202020Q317820000.00
212014Q418150356.45
222015Q418533752.07
232016Q418213537.29
242017Q418598067.07
252018Q419041437.59
262019Q419530000.00
272020Q40.00
\n", + "
" + ], + "text/plain": [ + " Year Quarter Amount in Billion(N)\n", + "0 2014 Q1 15438679.50\n", + "1 2015 Q1 16050601.38\n", + "2 2016 Q1 15943714.54\n", + "3 2017 Q1 15797965.83\n", + "4 2018 Q1 16096654.19\n", + "5 2019 Q1 16434552.65\n", + "6 2020 Q1 16740000.00\n", + "7 2014 Q2 16084622.31\n", + "8 2015 Q2 16463341.91\n", + "9 2016 Q2 16218542.41\n", + "10 2017 Q2 16334719.27\n", + "11 2018 Q2 16580508.07\n", + "12 2019 Q2 16931434.89\n", + "13 2020 Q2 15890000.00\n", + "14 2014 Q3 17479127.58\n", + "15 2015 Q3 17976234.59\n", + "16 2016 Q3 17555441.69\n", + "17 2017 Q3 17760228.17\n", + "18 2018 Q3 18081342.10\n", + "19 2019 Q3 18494114.17\n", + "20 2020 Q3 17820000.00\n", + "21 2014 Q4 18150356.45\n", + "22 2015 Q4 18533752.07\n", + "23 2016 Q4 18213537.29\n", + "24 2017 Q4 18598067.07\n", + "25 2018 Q4 19041437.59\n", + "26 2019 Q4 19530000.00\n", + "27 2020 Q4 0.00" + ] + }, + "execution_count": 158, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Q_RealGDP" + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "id": "8c2fcdb6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 159, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# generating a seaborn's barplot using the GDP values for each year & quarters\n", + "plt.figure(figsize = (10,5))\n", + "sns.barplot(x = 'Year', y = 'Amount in Billion(N)',hue = 'Quarter', data =Q_RealGDP).set_title('Annual-Quaterly GDP')\n", + "plt.legend(loc = 'lower left')\n", + "plt.axhline(y =15890000.00, label ='Hline', color ='black')" + ] + }, + { + "cell_type": "markdown", + "id": "6fe3ce42", + "metadata": {}, + "source": [ + "The second quarter of 2020 (onset of impact of pandemic in Nigeria) was used to apply an axhline threashold and bench mark for comparison of dataset parameters. \n", + "\n", + "\n", + "There is no record for the fourth quarter's GDP in 2020 \n", + "\n", + "\n", + "Economic activities during the fourth quarter was virtually grounded hence there is no record of GDP for fourth quater of 2020. This also means that 2020 has the lowest combined GDP in the years under review. \n", + "\n", + "\n", + "The impact of covid 19 was huge on Nigeria's economy around the second quarter, in 2020, because that was when the highest cases of daily infection were recorded. \n", + "\n", + "\n", + "The negative effects of covid on the population and the control measures enforced by the government affected productivity, all compared to other years included in the review. " + ] + }, + { + "cell_type": "markdown", + "id": "885497a6", + "metadata": {}, + "source": [ + "Note: Do not limit your analysis to the provided TODOs. Perform more analyses e.g\n", + ">Check for more external dataset\n", + ">Ask more questions & find the right answers by exploring the data" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From eb5be59f9cdecd07e34a6f8e2f4f5908e2274a94 Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Thu, 25 Aug 2022 04:45:10 -0700 Subject: [PATCH 08/19] Add files via upload --- ncdcdata.csv | 38 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 38 insertions(+) create mode 100644 ncdcdata.csv diff --git a/ncdcdata.csv b/ncdcdata.csv new file mode 100644 index 00000000..0b369b2d --- /dev/null +++ b/ncdcdata.csv @@ -0,0 +1,38 @@ +,States Affected,No. of Cases (Lab Confirmed),No. of Cases (on admission),No. Discharged,No. of Deaths +0,Lagos,102877,129,101977,771 +1,FCT,29075,146,28680,249 +2,Rivers,17680,262,17264,154 +3,Kaduna,11467,11,11367,89 +4,Oyo,10327,6,10119,202 +5,Plateau,10292,18,10199,75 +6,Edo,7821,102,7398,321 +7,Ogun,5810,11,5717,82 +8,Delta,5631,349,5170,112 +9,Ondo,5173,315,4749,109 +10,Kano,5169,41,5001,127 +11,Akwa Ibom,4973,22,4907,44 +12,Kwara,4680,441,4175,64 +13,Osun,3311,36,3183,92 +14,Gombe,3310,6,3238,66 +15,Enugu,2952,13,2910,29 +16,Anambra,2825,46,2760,19 +17,Nasarawa,2777,393,2345,39 +18,Imo,2655,7,2590,58 +19,Ekiti,2447,46,2373,28 +20,Katsina,2418,0,2381,37 +21,Abia,2226,11,2181,34 +22,Benue,2129,340,1764,25 +23,Ebonyi,2064,28,2004,32 +24,Bauchi,1979,8,1947,24 +25,Borno,1629,5,1580,44 +26,Taraba,1473,62,1377,34 +27,Bayelsa,1363,10,1325,28 +28,Adamawa,1203,68,1103,32 +29,Niger,1150,132,998,20 +30,Cross River,873,3,845,25 +31,Sokoto,822,0,794,28 +32,Jigawa,669,2,649,18 +33,Yobe,638,4,625,9 +34,Kebbi,480,10,454,16 +35,Zamfara,375,0,366,9 +36,Kogi,5,0,3,2 From 80ad376ed946d4eeb223eb453e49b6181e90244e Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Thu, 25 Aug 2022 04:58:19 -0700 Subject: [PATCH 09/19] Add files via upload --- Executive Summary on COVID-19 Project.pdf | Bin 0 -> 675643 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 Executive Summary on COVID-19 Project.pdf diff --git a/Executive Summary on COVID-19 Project.pdf b/Executive Summary on COVID-19 Project.pdf new file mode 100644 index 0000000000000000000000000000000000000000..2ea6a48ee1ae21ea237be244fe6a2494c8ecc994 GIT binary patch literal 675643 zcmd3Mb9AL&vu12{?3~yg+qP|YY+EO0hn zZ{lieX6Hf;$DrtBZ|Z7d<^-Tpv9>f~_&Ne$%f!eIkg&Hm|JoyJZ{iG4HnTG|b24+H z=I4j|di>{5mVX~^Vgz7A z9D}Txow!+e9zO~&Mku0+bVs{BpU#=zua@GP4E&u_i9Wq)FDcQ!i>oxh-Cs5dZ2EOs6R+M7HO=r}f4rYB zrFU_9KYt9RA8)J`&<&Wb4^T<0Ttjz#j#Pa1+Q;V_K0o^FeH1nzYV(X4r1^hrR~0wR zyd6A8`7hadO}um&bbcO9Smn#IQaf^}fPY`)kX7a?;GSG`cm;X9+_-9WyT8vldvP5j z;AZh{YI-qOR&{(2!;c#du`D?7#>u2LVC4&WA2cZ8TVSo8y3|pzsNZYMpS$BsUaTro zrt|}1dnhHbr)AXKn%?yNL6N(d>eicUTg>Y6CIm~~^1R_iPQAJFB5?9oP%y~KPJ4oW z@nAQ_!|=T5<3ma_7nt`~Cv`WgiRQ>kA7+=(+pGfT5Q034ajcBXC{(K-^_G~KVEOQo z+`Ez}H}$K|x}ajGZ*~qGJA*#e*PJVY!||$;&Hvl!V;&fa3v5?8hY&)j7Z6YI@?@45bhA z^|i<2<(x+ZGBU+yV8!cyHd81&b7-K z=PmIXEAc)^PQ_MctnXU;Mb5wlC6Yo#=lSwnWiHMtVUibW#=YimFc=Ju6r9HYd9J1;?mkb53V=kl49fL zljXO}b+?h4bey!4)e8=N^6~Cp@3tq4F-&fk9vagKbxu|+s^DIYkcsd0%~|0mw2Ejt zoNoF&a;YUo<>|voS=lip0F&;9?B^YvktLAcUuKHTi0f2-{kXIN|p2!Zz}pl zw#W0MHPbQ-klr(FcW;u*U!RZ=SGrLr5cAUzo z09w4{G%bFr%qp;@U`ttPU4nVe=E_kvN5}rF7jNyPcCJ{-Qz@GOi&}L*vFiH@S1YKu znX#}_@1;e{Iep5a4em>I4#|kU*Li3QXj(Z^RQqvO6>SWJuxkOPA2m3UTAjP1&Z@ZU z(6-3o7E^-z%zGhc??<-eSFj>bhVRDpXzLIZ+gX<$2TQr5Hf)#62s%@naYx`et3=>V zZckW+gFmVO7UFM3EI>AO$IC@GHRLV31gsrjJL02ty)FXAoHdqij`lr}Xp|}@6B~=E z#8o7(?#;|BkJsg-hIJLGmHBJ;>wwiuzs1A{J{T22I_!i-5Xd+vA-kG8Zd%)hB_Dfu zN&S60HkyHtp4zWa>=Wcbqo=ychNm3iteZwOF97Db zYb%SYcDMUO5K%?Z1-ZoTy7-pFlF<(rP2W4V+OA5z+H?FgOp?z1q0p(At!!@2o5)Xe zKGT=ZYKLe!p(7@il_Jr@jL~nQ3wotCrY#{Clf@RzmqOc;&!K1T@Jb`ZG^ooqH&W%4&Dkl>DxhiUjy&E1 z%naUsU8e4nhaHa@fl|Z0w{4rzsVE>b!Ne;vSqS#*V#m2ZHY;}?RE9&xQOC^3*I!QE z)Xjhqc$`G$nIkY>6BFM^JIuSgg>76QXX@WTg8V8d2BSDq9lB*&W(Q#6xpn3|AzfgL zM1Vs`c6f?Aie52lSxOpcX$c!7Js!$Hl9-WFgWDD?6u__5b)y%nwUGm_wxGsRx|)u-3A0pb(oot5zVjtH`u7dWHHgB(a%3+#NYTiv*Ob?` zL)8QN&wgr5)j+DHkungDiA>CvDY8LV1(~&+XraJ?{QZqzBx`dyEdJN37Ftw3-}`wz zSM6`}xlk`w-pvXL?AofS_LXrg1h+#laoN4PB~0_ogvRkN5q6>zxL;twColM{4+t25 zM9wTwI;jh9;idxjj0v+3P+6KKv*;z&Y!<64{E_22nOUPsD_xe8nMDtRTl`zpti znN1O5i9gg&^t-vk=!Y7l7ZEasrF>#V{1JpKVbe;Oh9YFgbdj8gSxhnrVhVzO)U)q~ z7*0awvnJtXyE{LU22=5cy$7I=-a*x?h0jAmFH##yRdf{36i0_hnM=fMGQFJ$nitF; 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z{Et|GEu8IN`DFv>03Ni1v$8*&r%*Tqs3s5F0f*>^`GB(li~67KV8DS1IF0-x7Qn{# z5Eo#gu>uE$2kjtm_=6k)(+~1+o&vW2rB1?tRr9bvU?2}|tiZB-=$94XOn)#>fx-@d zIPZbF%lfdk!~Q_yg^nF1e7 j#4HRf$p9e#`fOusr)^{R*9Hs&4sswU3N^KmwDA7{#u`T} literal 0 HcmV?d00001 From 8800ddc0f5d435f360fb786802db9d27856090b0 Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Fri, 26 Aug 2022 04:48:29 -0700 Subject: [PATCH 10/19] Update README.md --- README.md | 29 +++++++++++++++++++++++++++++ 1 file changed, 29 insertions(+) diff --git a/README.md b/README.md index 643a0e99..3e873585 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,31 @@ # Nigeria-COVID-19-Data-Analysis-Using-Python Data Scientist Microdegree Capstone Project + +This project is necessitated by the gap existing in establishing correlation between impact of COVID-19 pandemic and pre-existing socio-economic systems in Nigeria. Data analytic tools were used to process COVD-19 related data to generate insights into the measure of impact of the covid crisis on Nigeria's socio-economic quality- state-wise. +# Project Overview +The emergence of a new strain of virus in 2019 led to one of the world's deadliest pandemic in history. The coronavirus infection leads to acute health complications which challenge existing health systems and eventually, normal way of life of people. Nigeria, a West-African country, has also been affected by the COVID-19 pandemic after recording its first case on 27th February 2020. +Nigeria is a country with 37 states - Federal Capital Territory included- and a fast-growing economic environment with about 200 million citizens. COVID-19 has affected several country activities as the country steadily progressed from its first case to shutting down major airports, state-wide lockdown, curfews, and reviving its economy. +NCDC data included count cases that were confirmed, on admission and deaths, while John Hopkins COVID data were also counts for daily confirmed, daily recovered and daily deaths cases. Online data obtained contains cumulative records up to August 2022. Data analytics skills were employed to collect data, explore, analyze, visualize data relationships and generate insights. + +# Steps/Approaches +- Online data extraction from NCDC was by python scraping technique using beautifulsoup library to parse the website’s HTML tree. Steps taken here include locating and inspecting the page of the URL to be scrapped, finding the data to be extracted by parsing, writing the code. + +- Before carrying out analyses, dataframes were viewed to obtain basic information about the data and become acquainted with its contents using the head() and info() method. Dataframes were also cleaned, treated and prepared by: + Converting column values to appropriate data types, + Renaming the columns of the scraped data, + Removing comma(,) in numerical data, + Sorting data for orderliness e.g states in alphabetical order and numerical ranges, + Merging NCDC related dataframes, + Extracting daily data for Nigeria from the Global daily cases data. + +- Some analyses were performed on the prepared datasets and results were described to generate corresponding insights. Some of the analyses carried out include: + Generating and describing line plot outcomes that shows the top 10 states and all states in Nigeria in terms of Confirmed Covid cases by Laboratory, Discharged Covid cases, death cases using sort() and nlargest() method, + comparative analyses between vulnerability index and other indices was also done using appropriate Seaborns’s visualization methods such as sns.line plot(), sns.barplot(), sns.regplot(), 2-axis plot to illustrate this, + Determination of the daily infection, recovery and death rates, using the Pandas diff method and to find the derivative of the total cases, + Determination of highest and lowest values using python’s max() and min() functions for respective variables, + Determination of the effect of the Pandemic on the economy by comparing the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020). + +# Suggestions on future work/Improvement plans +-The current approach of this project analysis is descriptive as it analyses past vulnerability data to explain past events. However a predictive and prescriptive approach to data analytics might help reduce the burden of managing unexpected crises such as the coronavirus pandemic. 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    Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
    0NaNAfghanistan33.9391167.709953000000...7758775877597759775977597759775977627767
    1NaNAlbania41.1533020.168300000000...3570357135713573357435743575357635763576
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    3NaNAndorra42.506301.521800000000...154154154154154154154154154154
    4NaNAngola-11.2027017.873900000000...1917191719171917191719171917191719171917
    \n", - "

    5 rows × 948 columns

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    " - ], - "text/plain": [ - " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", - "0 NaN Afghanistan 33.93911 67.709953 0 0 \n", - "1 NaN Albania 41.15330 20.168300 0 0 \n", - "2 NaN Algeria 28.03390 1.659600 0 0 \n", - "3 NaN Andorra 42.50630 1.521800 0 0 \n", - "4 NaN Angola -11.20270 17.873900 0 0 \n", - "\n", - " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/13/22 8/14/22 8/15/22 \\\n", - "0 0 0 0 0 ... 7758 7758 7759 \n", - "1 0 0 0 0 ... 3570 3571 3571 \n", - "2 0 0 0 0 ... 6878 6878 6878 \n", - "3 0 0 0 0 ... 154 154 154 \n", - "4 0 0 0 0 ... 1917 1917 1917 \n", - "\n", - " 8/16/22 8/17/22 8/18/22 8/19/22 8/20/22 8/21/22 8/22/22 \n", - "0 7759 7759 7759 7759 7759 7762 7767 \n", - "1 3573 3574 3574 3575 3576 3576 3576 \n", - "2 6878 6878 6878 6878 6878 6878 6878 \n", - "3 154 154 154 154 154 154 154 \n", - "4 1917 1917 1917 1917 1917 1917 1917 \n", - "\n", - "[5 rows x 948 columns]" - ] - }, - "execution_count": 14, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Reading some of the data from John Hopkin's repository\n", - "JH_deaths_global.head()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39a878bc", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "219c82cd", - "metadata": {}, - "source": [ - "# External Data\n", - "\n", - "Save the external data to a DataFrame\n", - "External Data includes but not limited to: covid_external.csv, Budget data.csv, RealGDP.csv" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "dc07766f", - "metadata": {}, - "outputs": [], - "source": [ - "#Saving external data into dataaframe object\n", - "covid_external = pd.read_csv('covid_external.csv')\n", - "Budget_data = pd.read_csv('Budget data.csv')\n", - "RealGDP = pd.read_csv('RealGDP.csv')\n", - "covidnig = pd.read_csv('covidnig.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "id": "706c1245", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
    0Lagos26,7082,43524,037236
    1FCT9,6272,8406,69493
    2Kaduna4,5045793,87748
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    " - ], - "text/plain": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 26,708 2,435 \n", - "1 FCT 9,627 2,840 \n", - "2 Kaduna 4,504 579 \n", - "3 Plateau 4,262 280 \n", - "4 Oyo 3,788 368 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 24,037 236 \n", - "1 6,694 93 \n", - "2 3,877 48 \n", - "3 3,948 34 \n", - "4 3,374 46 " - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Reading some of the dataframes\n", - "covidnig.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "id": "8a8ccd9e", - "metadata": {}, - "outputs": [], - "source": [ - "# Combining all 'external' dataframe objects provided using the merge() function on identical column\n", - "merged_t1 = pd.merge(covid_external, Budget_data, on= 'states', how ='outer', sort= True)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "id": "2b982227", - "metadata": {}, - "outputs": [], - "source": [ - "#Renaming of a column is necessary if web scrapped data from NCDC's link is to be merged with 'external' dataframe on isentical column 'states'.\n", - "covidnig_rn = covidnig.rename(columns={'States Affected':'states'})" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "38c0df7a", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 37 non-null object\n", - " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", - " 2 No. of Cases (on admission) 37 non-null object\n", - " 3 No. Discharged 37 non-null object\n", - " 4 No. of Deaths 37 non-null int64 \n", - "dtypes: int64(1), object(4)\n", - "memory usage: 1.6+ KB\n" - ] - } - ], - "source": [ - "#Checking if Renaming was successful and type of data in imported data from NCDC's link.\n", - "covidnig_rn.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "f8304c9b", - "metadata": {}, - "outputs": [], - "source": [ - "# values of data are object\n", - "# All data values has to be converted to appropriate type (numeric). We use pd.to_numeric and apply the conversion.\n", - "covidnig_rndf = covidnig_rn[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", - "covidnig_rn[covidnig_rndf] = covidnig_rn[covidnig_rndf].apply(pd.to_numeric,errors='coerce')" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "id": "edc5e80b", - "metadata": {}, - "outputs": [], - "source": [ - "covidnig_rn.replace(',','', regex=True, inplace=True)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "id": "f3fa815d", - "metadata": {}, - "outputs": [], - "source": [ - "#Final merger of external dataframe and NCDC's data also using the pd.merge() function\n", - "merged_t2 = pd.merge(merged_t1,covidnig_rn, on= 'states', how ='outer', sort=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "cfef53ba", - "metadata": {}, - "outputs": [], - "source": [ - "combined_df = merged_t2.append(RealGDP, ignore_index=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "e6d82b00", - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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    statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised_budget (Bn)No. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsYearQ1Q2Q3Q4
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    1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
    2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
    3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
    4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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NaN 395.0 \n", - "3 NaN ... 366.00 NaN \n", - "4 0.0 ... 112.80 299.0 \n", - "\n", - " No. of Cases (on admission) No. Discharged No. of Deaths Year Q1 Q2 \\\n", - "0 25.0 945.0 10.0 NaN NaN NaN \n", - "1 96.0 238.0 21.0 NaN NaN NaN \n", - "2 44.0 342.0 9.0 NaN NaN NaN \n", - "3 NaN NaN NaN NaN NaN NaN \n", - "4 6.0 274.0 19.0 NaN NaN NaN \n", - "\n", - " Q3 Q4 \n", - "0 NaN NaN \n", - "1 NaN NaN \n", - "2 NaN NaN \n", - "3 NaN NaN \n", - "4 NaN NaN \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Viewing the data\n", - "#Obtain basic information about the merged data using the head() and info() method.\n", - "combined_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "570617ef", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 48 entries, 0 to 47\n", - "Data columns (total 23 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 states 41 non-null object \n", - " 1 region 37 non-null object \n", - " 2 Population 37 non-null float64\n", - " 3 Overall CCVI Index 37 non-null float64\n", - " 4 Age 37 non-null float64\n", - " 5 Epidemiological 37 non-null float64\n", - " 6 Fragility 37 non-null float64\n", - " 7 Health System 37 non-null float64\n", - " 8 Population Density 37 non-null float64\n", - " 9 Socio-Economic 37 non-null float64\n", - " 10 Transport Availability 37 non-null float64\n", - " 11 Acute IHR 37 non-null float64\n", - " 12 Initial_budget (Bn) 37 non-null float64\n", - " 13 Revised_budget (Bn) 37 non-null float64\n", - " 14 No. of Cases (Lab Confirmed) 21 non-null float64\n", - " 15 No. of Cases (on admission) 35 non-null float64\n", - " 16 No. Discharged 22 non-null float64\n", - " 17 No. of Deaths 37 non-null float64\n", - " 18 Year 7 non-null float64\n", - " 19 Q1 7 non-null float64\n", - " 20 Q2 7 non-null float64\n", - " 21 Q3 7 non-null float64\n", - " 22 Q4 7 non-null float64\n", - "dtypes: float64(21), object(2)\n", - "memory usage: 8.8+ KB\n" - ] - } - ], - "source": [ - "combined_df.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "7333933a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "states 37\n", - "Initial_budget (Bn) 37\n", - "Revised_budget (Bn) 37\n", - "dtype: int64" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Budget_data.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "cbb55a48", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "states 37\n", - "region 6\n", - "Population 37\n", - "Overall CCVI Index 11\n", - "Age 11\n", - "Epidemiological 11\n", - "Fragility 11\n", - "Health System 11\n", - "Population Density 11\n", - "Socio-Economic 11\n", - " Transport Availability 11\n", - "Acute IHR 22\n", - "dtype: int64" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covid_external.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "53f0b8ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "States Affected 37\n", - "No. of Cases (Lab Confirmed) 37\n", - "No. of Cases (on admission) 33\n", - "No. Discharged 37\n", - "No. of Deaths 30\n", - "dtype: int64" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig.nunique()" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "id": "6f484eb5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Year 7\n", - "Q1 7\n", - "Q2 7\n", - "Q3 7\n", - "Q4 7\n", - "dtype: int64" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "RealGDP.nunique()" - ] - }, - { - "cell_type": "markdown", - "id": "4c1d3330", - "metadata": {}, - "source": [ - "# Task 2 - View the data\n", - "Obtain basic information about the data using the head() and info() method." - ] - }, - { - "cell_type": "markdown", - "id": "489b28aa", - "metadata": {}, - "source": [ - "# Viewing the separate external data and NCDC's data: Obtaining basic information about the data using the head() and info() method." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "540f2dee", - "metadata": {}, - "outputs": [], - "source": [ - "covid_external = pd.read_csv('covid_external.csv')\n", - "Budget_data = pd.read_csv('Budget data.csv')\n", - "RealGDP = pd.read_csv('RealGDP.csv')\n", - "covidnig = pd.read_csv('covidnig.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "4cba08be", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
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    " - ], - "text/plain": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 26708 2435 \n", - "1 FCT 9627 2840 \n", - "2 Kaduna 4504 579 \n", - "3 Plateau 4262 280 \n", - "4 Oyo 3788 368 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 24037 236 \n", - "1 6694 93 \n", - "2 3877 48 \n", - "3 3948 34 \n", - "4 3374 46 " - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "id": "3aba9131", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 States Affected 37 non-null object\n", - " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", - " 2 No. of Cases (on admission) 37 non-null object\n", - " 3 No. Discharged 37 non-null object\n", - " 4 No. of Deaths 37 non-null int64 \n", - "dtypes: int64(1), object(4)\n", - "memory usage: 1.6+ KB\n" - ] - } - ], - "source": [ - "covidnig.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "id": "41d9cc75", - "metadata": {}, - "outputs": [], - "source": [ - "# Converting NCDC's data into appropriate data type (from object to int)\n", - "newcovidnig = covidnig[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", - "covidnig[newcovidnig] = covidnig[newcovidnig].apply(pd.to_numeric,errors='coerce')" - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "id": "24c38b3c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 37 entries, 0 to 36\n", - "Data columns (total 5 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 States Affected 37 non-null object\n", - " 1 No. of Cases (Lab Confirmed) 37 non-null int64 \n", - " 2 No. of Cases (on admission) 37 non-null int64 \n", - " 3 No. Discharged 37 non-null int64 \n", - " 4 No. of Deaths 37 non-null int64 \n", - "dtypes: int64(4), object(1)\n", - "memory usage: 1.6+ KB\n" - ] - } - ], - "source": [ - "# Checking: conversion is successful\n", - "covidnig.info()" - ] - }, - { - "cell_type": "markdown", - "id": "fd53ebe2", - "metadata": {}, - "source": [ - "# Task 3 - Data Cleaning and Preparation" - ] - }, - { - "cell_type": "markdown", - "id": "9a6a4596", - "metadata": {}, - "source": [ - "From the information obtained above, you will need to fix the data format.\n", - "Examples:\n", - "\n", - ">Convert to appropriate data type.\n", - ">Rename the columns of the scraped data.\n", - ">Remove comma(,) in numerical data\n", - ">Extract daily data for Nigeria from the Global daily cases data" - ] - }, - { - "cell_type": "markdown", - "id": "5995394a", - "metadata": {}, - "source": [ - "TODO A - Clean the scraped data" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "id": "80bead0f", - "metadata": {}, - "outputs": [], - "source": [ - "#Data Cleaning and Preparation: Clean the scraped data\n", - "#Renaming columns of dataframe" - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "id": "fb588afb", - "metadata": {}, - "outputs": [], - "source": [ - "#Renaming of columns of merged dataframe\n", - "combined_df.rename(columns = {'states':'State', 'region': 'Region', 'Initial_budget (Bn)': 'Initial Budget in Billion', 'Revised_budget (Bn)': 'Revised Budget in Billion', 'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths', 'Q1': 'First Quarter', 'Q2': 'Second Quarter', 'Q3': 'Third Quarter', 'Q4':'Fourth Quarter'}, inplace = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "id": "fd6cac5c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    StateRegionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Revised Budget in BillionNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of DeathsYearFirst QuarterSecond QuarterThird QuarterFourth Quarter
    0AbiaSouth East4190000.00.20.90.60.10.30.90.2...102.70980.025.0945.010.0NaNNaNNaNNaNNaN
    1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...139.31355.096.0238.021.0NaNNaNNaNNaNNaN
    2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...NaN395.044.0342.09.0NaNNaNNaNNaNNaN
    3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...366.00NaNNaNNaNNaNNaNNaNNaNNaNNaN
    4AnambraSouth East6050000.00.60.91.00.60.21.00.0...112.80299.06.0274.019.0NaNNaNNaNNaNNaN
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    " - ], - "text/plain": [ - " State Region Population Overall CCVI Index Age \\\n", - "0 Abia South East 4190000.0 0.2 0.9 \n", - "1 Adamawa North East 4672000.0 0.8 0.5 \n", - "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", - "3 Akwa-Ibom NaN NaN NaN NaN \n", - "4 Anambra South East 6050000.0 0.6 0.9 \n", - "\n", - " Epidemiological Fragility Health System Population Density \\\n", - "0 0.6 0.1 0.3 0.9 \n", - "1 0.6 0.9 0.7 0.3 \n", - "2 0.7 0.6 0.8 0.8 \n", - "3 NaN NaN NaN NaN \n", - "4 1.0 0.6 0.2 1.0 \n", - "\n", - " Socio-Economic ... Revised Budget in Billion \\\n", - "0 0.2 ... 102.70 \n", - "1 0.7 ... 139.31 \n", - "2 0.5 ... NaN \n", - "3 NaN ... 366.00 \n", - "4 0.0 ... 112.80 \n", - "\n", - " Number of Lab Confirmed Cases Number of Cases on Admission \\\n", - "0 980.0 25.0 \n", - "1 355.0 96.0 \n", - "2 395.0 44.0 \n", - "3 NaN NaN \n", - "4 299.0 6.0 \n", - "\n", - " Number of Cases Discharged Number of Deaths Year First Quarter \\\n", - "0 945.0 10.0 NaN NaN \n", - "1 238.0 21.0 NaN NaN \n", - "2 342.0 9.0 NaN NaN \n", - "3 NaN NaN NaN NaN \n", - "4 274.0 19.0 NaN NaN \n", - "\n", - " Second Quarter Third Quarter Fourth Quarter \n", - "0 NaN NaN NaN \n", - "1 NaN NaN NaN \n", - "2 NaN NaN NaN \n", - "3 NaN NaN NaN \n", - "4 NaN NaN NaN \n", - "\n", - "[5 rows x 23 columns]" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Checking if renamig is successful\n", - "combined_df.head()" - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "id": "2e595642", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "State object\n", - "Region object\n", - "Population float64\n", - "Overall CCVI Index float64\n", - "Age float64\n", - "Epidemiological float64\n", - "Fragility float64\n", - "Health System float64\n", - "Population Density float64\n", - "Socio-Economic float64\n", - " Transport Availability float64\n", - "Acute IHR float64\n", - "Initial Budget in Billion float64\n", - "Revised Budget in Billion float64\n", - "Number of Lab Confirmed Cases float64\n", - "Number of Cases on Admission float64\n", - "Number of Cases Discharged float64\n", - "Number of Deaths float64\n", - "Year float64\n", - "First Quarter float64\n", - "Second Quarter float64\n", - "Third Quarter float64\n", - "Fourth Quarter float64\n", - "dtype: object" - ] - }, - "execution_count": 49, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Checking data tyoes in columns of merged dataframe\n", - "combined_df.dtypes" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "id": "37941bb4", - "metadata": {}, - "outputs": [], - "source": [ - "JH_confirmed_global=confirmed_global\n", - "JH_deaths_global=covid19_deaths_global\n", - "JH_recovered_global=covid19_recovered_global" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "a3831d28", - "metadata": {}, - "outputs": [], - "source": [ - "# Saved global data from John Hopkin's repository" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "id": "dd04542b", - "metadata": {}, - "outputs": [], - "source": [ - "# Saved global data from John Hopkin's repository\n", - "JH_confirmed_global=confirmed_global\n", - "JH_deaths_global=covid19_deaths_global\n", - "JH_recovered_global=covid19_recovered_global" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "id": "928f0f66", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    Province/StateCountry/RegionLatLong1/22/201/23/201/24/201/25/201/26/201/27/20...8/13/228/14/228/15/228/16/228/17/228/18/228/19/228/20/228/21/228/22/22
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    3NaNAndorra42.5063001.521800000000...45899458994589945899459754597545975459754597545975
    4NaNAngola-11.20270017.873900000000...102636102636102636102636102636102636102636102636102636102636
    ..................................................................
    200Cook IslandsNew Zealand-21.236700-159.777700000000...6209620962406265626562656265626562656265
    201NaNNew Zealand-40.900600174.886000000000...1687705169126116962391700900170559717095411712957171516517180091721836
    202NaNNicaragua12.865416-85.207229000000...14872148721487214872148991489914899148991489914899
    203NaNNiger17.6077898.081666000000...9132913291399139915791579183918391839203
    204NaNNigeria9.0820008.675300000000...262520262520262520262664262664262748262748262912262912262912
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    4Angola2020-01-220
    ............
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    " - ], - "text/plain": [ - " Country/Region Date Confirmed Cases\n", - "0 Afghanistan 2020-01-22 0\n", - "1 Albania 2020-01-22 0\n", - "2 Algeria 2020-01-22 0\n", - "3 Andorra 2020-01-22 0\n", - "4 Angola 2020-01-22 0\n", - "... ... ... ...\n", - "269035 West Bank and Gaza 2022-08-22 698384\n", - "269036 Winter Olympics 2022 2022-08-22 535\n", - "269037 Yemen 2022-08-22 11915\n", - "269038 Zambia 2022-08-22 332527\n", - "269039 Zimbabwe 2022-08-22 256628\n", - "\n", - "[269040 rows x 3 columns]" - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#checking if the formatting of dataframe for global confirmed Cases is as expected\n", - "JH_Daily_Confirmeddf" - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "id": "3906e952", - "metadata": {}, - "outputs": [], - "source": [ - "#Applying formatting tools used for global confirmed cases to Dataframe of global recoveries and Deaths\n", - "\n", - "JH_Daily_Recovery = pd.melt(JH_recovered_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Recovered Cases')\n", - "JH_Daily_Recovery['Date'] = pd.to_datetime(JH_Daily_Recovery['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "id": "f2abb71a", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Recoverydf= JH_Daily_Recovery.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 64, - "id": "e230f423", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Deaths = pd.melt(JH_deaths_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Death Cases')\n", - "JH_Daily_Deaths['Date'] = pd.to_datetime(JH_Daily_Deaths['Date'])" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "id": "057b66ac", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Deathsdf= JH_Daily_Deaths.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "id": "b0836c34", - "metadata": {}, - "outputs": [], - "source": [ - "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "id": "e88a3fda", - "metadata": {}, - "outputs": [], - "source": [ - "Nigeria = JH_Daily_confirmed[JH_Daily_confirmed['Country/Region'] == 'Nigeria']" - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "id": "2addb352", - "metadata": {}, - "outputs": [], - "source": [ - "JH_Daily_Confirmed_Nigeriadf= Nigeria[['Date', 'Confirmed Cases']].reset_index(drop = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "id": "d8573def", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    " - ], - "text/plain": [ - " Date Death Cases\n", - "0 2020-01-22 0\n", - "1 2020-01-23 0\n", - "2 2020-01-24 0\n", - "3 2020-01-25 0\n", - "4 2020-01-26 0\n", - ".. ... ...\n", - "939 2022-08-18 3147\n", - "940 2022-08-19 3147\n", - "941 2022-08-20 3147\n", - "942 2022-08-21 3147\n", - "943 2022-08-22 3147\n", - "\n", - "[944 rows x 2 columns]" - ] - }, - "execution_count": 78, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "JH_Daily_DeathsNigeriadf" - ] - }, - { - "cell_type": "markdown", - "id": "d5019c67", - "metadata": {}, - "source": [ - "# Task 4 - Analysis" - ] - }, - { - "cell_type": "markdown", - "id": "34c9c7c3", - "metadata": {}, - "source": [ - "Here you will perform some analyses on the datasets. You are welcome to communicate findings in charts and summary.\n", - "We have included a few TODOs to help with your analysis. However, do not let this limit your approach, feel free to include more, and be sure to support your findings with chart and summary" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1988bee1", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "6c7bced2", - "metadata": {}, - "source": [ - "TODO A - Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory test" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7b88cd24", - "metadata": {}, - "outputs": [], - "source": [ - "# To Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory \n", - "#First renaming columns from original dataframe fro link (data cleaning)\n", - "covidnig\n", - "covidnig.rename(columns = {'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths'}, inplace = True)" - ] - }, - { - "cell_type": "code", - "execution_count": 80, - "id": "9a1b289e", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
    0Lagos26708243524037236
    1FCT96272840669493
    2Kaduna4504579387748
    3Plateau4262280394834
    4Oyo3788368337446
    5Rivers3279232298760
    6Edo2768522603113
    7Ogun2382174217533
    8Kano2032198177856
    9Delta184357173749
    10Ondo179362169041
    11Katsina1405214116724
    12Enugu137634132121
    13Kwara1296171109431
    14Gombe116418395031
    15Ebonyi109124103730
    16Abia9802594510
    17Osun9792093722
    18Bauchi89710877514
    19Borno7783770536
    20Imo7346166112
    21Nasarawa60026232513
    22Benue5154446011
    23Bayelsa4975542121
    24Ekiti405243756
    25Akwa Ibom395443429
    26Jigawa3865731811
    27Niger3816930012
    28Adamawa3559623821
    29Anambra299627419
    30Sokoto2284017117
    31Taraba203191777
    32Yobe164331238
    33Kebbi14351308
    34Cross River9318111
    35Zamfara791735
    36Kogi5032
    \n", - "
    " - ], - "text/plain": [ - " States Affected Number of Lab Confirmed Cases \\\n", - "0 Lagos 26708 \n", - "1 FCT 9627 \n", - "2 Kaduna 4504 \n", - "3 Plateau 4262 \n", - "4 Oyo 3788 \n", - "5 Rivers 3279 \n", - "6 Edo 2768 \n", - "7 Ogun 2382 \n", - "8 Kano 2032 \n", - "9 Delta 1843 \n", - "10 Ondo 1793 \n", - "11 Katsina 1405 \n", - "12 Enugu 1376 \n", - "13 Kwara 1296 \n", - "14 Gombe 1164 \n", - "15 Ebonyi 1091 \n", - "16 Abia 980 \n", - "17 Osun 979 \n", - "18 Bauchi 897 \n", - "19 Borno 778 \n", - "20 Imo 734 \n", - "21 Nasarawa 600 \n", - "22 Benue 515 \n", - "23 Bayelsa 497 \n", - "24 Ekiti 405 \n", - "25 Akwa Ibom 395 \n", - "26 Jigawa 386 \n", - "27 Niger 381 \n", - "28 Adamawa 355 \n", - "29 Anambra 299 \n", - "30 Sokoto 228 \n", - "31 Taraba 203 \n", - "32 Yobe 164 \n", - "33 Kebbi 143 \n", - "34 Cross River 93 \n", - "35 Zamfara 79 \n", - "36 Kogi 5 \n", - "\n", - " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", - "0 2435 24037 236 \n", - "1 2840 6694 93 \n", - "2 579 3877 48 \n", - "3 280 3948 34 \n", - "4 368 3374 46 \n", - "5 232 2987 60 \n", - "6 52 2603 113 \n", - "7 174 2175 33 \n", - "8 198 1778 56 \n", - "9 57 1737 49 \n", - "10 62 1690 41 \n", - "11 214 1167 24 \n", - "12 34 1321 21 \n", - "13 171 1094 31 \n", - "14 183 950 31 \n", - "15 24 1037 30 \n", - "16 25 945 10 \n", - "17 20 937 22 \n", - "18 108 775 14 \n", - "19 37 705 36 \n", - "20 61 661 12 \n", - "21 262 325 13 \n", - "22 44 460 11 \n", - "23 55 421 21 \n", - "24 24 375 6 \n", - "25 44 342 9 \n", - "26 57 318 11 \n", - "27 69 300 12 \n", - "28 96 238 21 \n", - "29 6 274 19 \n", - "30 40 171 17 \n", - "31 19 177 7 \n", - "32 33 123 8 \n", - "33 5 130 8 \n", - "34 1 81 11 \n", - "35 1 73 5 \n", - "36 0 3 2 " - ] - }, - "execution_count": 80, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "covidnig" - ] - }, - { - "cell_type": "code", - "execution_count": 81, - "id": "7dbfc744", - "metadata": {}, - "outputs": [], - "source": [ - "#Sorting top 10 states with highest lab confirmed cases by using df.sort_values()\n", - "\n", - "covidnig_lab10confirmed = covidnig.sort_values('Number of Lab Confirmed Cases', ascending = False)\n", - "covidnig_lab10confirmed = covidnig_lab10confirmed.iloc[:10,]" - ] - }, - { - "cell_type": "code", - "execution_count": 82, - "id": "83f35642", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
    0Lagos26708243524037236
    1FCT96272840669493
    2Kaduna4504579387748
    3Plateau4262280394834
    4Oyo3788368337446
    5Rivers3279232298760
    6Edo2768522603113
    7Ogun2382174217533
    8Kano2032198177856
    9Delta184357173749
    \n", - "
    " - ], - "text/plain": [ - " States Affected Number of Lab Confirmed Cases \\\n", - "0 Lagos 26708 \n", - "1 FCT 9627 \n", - "2 Kaduna 4504 \n", - "3 Plateau 4262 \n", - "4 Oyo 3788 \n", - "5 Rivers 3279 \n", - "6 Edo 2768 \n", - "7 Ogun 2382 \n", - "8 Kano 2032 \n", - "9 Delta 1843 \n", - "\n", - " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", - "0 2435 24037 236 \n", - "1 2840 6694 93 \n", - "2 579 3877 48 \n", - "3 280 3948 34 \n", - "4 368 3374 46 \n", - "5 232 2987 60 \n", - "6 52 2603 113 \n", - "7 174 2175 33 \n", - "8 198 1778 56 \n", - "9 57 1737 49 " - ] - }, - "execution_count": 82, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#checking top 10 states\n", - "covidnig_lab10confirmed" - ] - }, - { - "cell_type": "code", - "execution_count": 83, - "id": "2d8a31e5", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plotting top 10 states with corresponding confirmed cases\n", - "Top_10_covidngcases = sns.barplot(x='Number of Lab Confirmed Cases', y='States Affected', data=covidnig_lab10confirmed, color = 'blue').set_title('Top 10 covid cases in Nigerian States')\n" - ] - }, - { - "cell_type": "markdown", - "id": "1bb27389", - "metadata": {}, - "source": [ - "Lagos with the highest covid case and Delta is with the lowest." - ] - }, - { - "cell_type": "code", - "execution_count": 84, - "id": "b92dd2a0", - "metadata": {}, - "outputs": [], - "source": [ - "#Generating a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values\n", - "covidnig_10Discharged = covidnig.sort_values('Number of Cases Discharged', ascending = False)\n", - "covidnig_10Discharged = covidnig_10Discharged.iloc[:10,]" - ] - }, - { - "cell_type": "markdown", - "id": "30a63c50", - "metadata": {}, - "source": [ - "TODO B - Generate a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values" - ] - }, - { - "cell_type": "code", - "execution_count": 185, - "id": "a35d2c2c", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "covid_disch_plot = sns.barplot(x='Number of Cases Discharged', y='States Affected', data=covidnig_10Discharged, color = 'blue').set_title('Top 10 covid Discharges')\n" - ] - }, - { - "cell_type": "markdown", - "id": "0ad7bc8a", - "metadata": {}, - "source": [ - "Lagos showing the highest number of discharges is because it has a high population figure, hihest number of confirmed cases and better health management system." - ] - }, - { - "cell_type": "markdown", - "id": "73ee3cb3", - "metadata": {}, - "source": [ - "TODO D - Plot the top 10 Death cases" - ] - }, - { - "cell_type": "code", - "execution_count": 89, - "id": "5d9f17bb", - "metadata": {}, - "outputs": [], - "source": [ - "#Plotting the top 10 Death cases" - ] - }, - { - "cell_type": "code", - "execution_count": 90, - "id": "ab31af8a", - "metadata": {}, - "outputs": [], - "source": [ - "#Generating a plot that shows the Top 10 states in terms of death cases. Hint - Sort the values\n", - "covidnig_10Deaths = covidnig.sort_values('Number of Deaths', ascending = False)\n", - "covidnig_10Deaths = covidnig_10Deaths.iloc[:10,]" - ] - }, - { - "cell_type": "code", - "execution_count": 91, - "id": "05873dbe", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "covidngdeaths_plot = sns.barplot(x='Number of Deaths', y='States Affected', data=covidnig_10Deaths, color = 'blue').set_title('Highest Death Cases')\n" - ] - }, - { - "cell_type": "markdown", - "id": "204b639c", - "metadata": {}, - "source": [ - "Lagos having the highest death cases also due to its high population and number of confirmed cases." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "8dea2020", - "metadata": {}, - "outputs": [], - "source": [ - "#Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" - ] - }, - { - "cell_type": "code", - "execution_count": 93, - "id": "de574c85", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Lat 9.0820\n", - "Long 8.6753\n", - "1/22/20 0.0000\n", - "1/23/20 0.0000\n", - "1/24/20 0.0000\n", - " ... \n", - "8/18/22 262748.0000\n", - "8/19/22 262748.0000\n", - "8/20/22 262912.0000\n", - "8/21/22 262912.0000\n", - "8/22/22 262912.0000\n", - "Name: Nigeria, Length: 946, dtype: float64" - ] - }, - "execution_count": 93, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#extracting data for confirmed cases in Nigeria\n", - "confirmed_nig = JH_confirmed_global.groupby('Country/Region').sum().loc['Nigeria']\n", - "confirmed_nig" - ] - }, - { - "cell_type": "code", - "execution_count": 94, - "id": "eb9f4215", - "metadata": {}, - "outputs": [], - "source": [ - "TotalConfirmed=JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 95, - "id": "7658da46", - "metadata": {}, - "outputs": [], - "source": [ - "TotalRecoveries=JH_Daily_Recovery_Nigeriadf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 96, - "id": "9a3442af", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Recovered Cases 39492087\n", - "dtype: int64" - ] - }, - "execution_count": 96, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalRecoveries" - ] - }, - { - "cell_type": "code", - "execution_count": 105, - "id": "1a7e95d0", - "metadata": {}, - "outputs": [], - "source": [ - "TotalDeaths = JH_Daily_Deathsdf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 98, - "id": "1b6acec0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Country/Region AfghanistanAlbaniaAlgeriaAndorraAngolaAntarcti...\n", - "Death Cases 3210225599\n", - "dtype: object" - ] - }, - "execution_count": 98, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalDeaths" - ] - }, - { - "cell_type": "code", - "execution_count": 99, - "id": "30b584e7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Confirmed Cases 135384240\n", - "dtype: int64" - ] - }, - "execution_count": 99, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "TotalConfirmed" - ] - }, - { - "cell_type": "code", - "execution_count": 100, - "id": "4bb78c77", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "Totaldeaths=JH_Daily_Deathsdf.sum(axis=0)" - ] - }, - { - "cell_type": "code", - "execution_count": 101, - "id": "b03e0e6d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
    total
    Confirmed Cases134858416
    Recovered Cases39492087
    Death Cases1768099
    \n", - "
    " - ], - "text/plain": [ - " total\n", - "Confirmed Cases 134858416\n", - "Recovered Cases 39492087\n", - "Death Cases 1768099" - ] - }, - "execution_count": 101, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Getting a dataframe for total daily cases\n", - "z = np.array([134858416, 39492087, 1768099])\n", - "df2 = pd.DataFrame(z, columns=['total'], index=[\"Confirmed Cases\", \"Recovered Cases\", \"Death Cases\"])\n", - "df2" - ] - }, - { - "cell_type": "markdown", - "id": "2ad89fb5", - "metadata": {}, - "source": [ - "TODO E - Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" - ] - }, - { - "cell_type": "code", - "execution_count": 102, - "id": "c134d84c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Confirmed Cases')" - ] - }, - "execution_count": 102, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for confirmed cases in Nigeria using seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Confirmed_Nigeriadf , x = 'Date', y = 'Confirmed Cases').set_title('Daily Total Confirmed Cases')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9b4c5b23", - "metadata": {}, - "outputs": [], - "source": [ - "The apparent increase in daily confirmed cases are cummulative values" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "id": "fb51b47b", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Recoveries')" - ] - }, - "execution_count": 103, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for Recovered cases in Nigeria using seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Recovery_Nigeriadf , x = 'Date', y = 'Recovered Cases').set_title('Daily Total Recoveries')" - ] - }, - { - "cell_type": "markdown", - "id": "d65ffa95", - "metadata": {}, - "source": [ - "Increased daily recovery cases were recorded. These records again were cummulative values. No record of recovery in Nigeria was recorded from 2021-09 because only death cases were recorded as cummulative lac confirmed cases increased as time of data retrieval in August 2022." - ] - }, - { - "cell_type": "code", - "execution_count": 106, - "id": "b7211359", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Total Deaths')" - ] - }, - "execution_count": 106, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# plotting daily data for death cases in Nigeria using a seaborn's line plot\n", - "plt.figure(figsize = (10,5))\n", - "sns.lineplot(data = JH_Daily_Deathsdf , x = 'Date', y = 'Death Cases').set_title('Daily Total Deaths')" - ] - }, - { - "cell_type": "markdown", - "id": "906c6d18", - "metadata": {}, - "source": [ - "Record for daily total deaths were cummulatively increasing as at the time of data retrieval in August 2022." - ] - }, - { - "cell_type": "markdown", - "id": "104f09fa", - "metadata": {}, - "source": [ - "TODO F -\n", - "\n", - ">Determine the daily infection rate, you can use the Pandas diff method to find the derivate of the total cases.\n", - ">Generate a line plot for the above" - ] - }, - { - "cell_type": "code", - "execution_count": 107, - "id": "d57cb913", - "metadata": {}, - "outputs": [], - "source": [ - "#Determine the daily infection rate, using the Pandas diff method to find the derivate of the total cases.\n", - "JH_Daily_Confirmed_Nigeriadf['Infection Rate'] = JH_Daily_Confirmed_Nigeriadf['Confirmed Cases'].diff()" - ] - }, - { - "cell_type": "markdown", - "id": "c974e000", - "metadata": {}, - "source": [ - "TODO J -\n", - "\n", - ">Provide more analyses by extending TODO G & H. Meaning, determine relationships between more features.\n", - ">Provide a detailed summary of your findings." - ] - }, - { - "cell_type": "code", - "execution_count": 108, - "id": "2e78df9a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    DateConfirmed CasesInfection Rate
    02020-01-220NaN
    12020-01-2300.0
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    9392022-08-1826274884.0
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    9432022-08-222629120.0
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    \n", - "
    " - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "0 2020-01-22 0 NaN\n", - "1 2020-01-23 0 0.0\n", - "2 2020-01-24 0 0.0\n", - "3 2020-01-25 0 0.0\n", - "4 2020-01-26 0 0.0\n", - ".. ... ... ...\n", - "939 2022-08-18 262748 84.0\n", - "940 2022-08-19 262748 0.0\n", - "941 2022-08-20 262912 164.0\n", - "942 2022-08-21 262912 0.0\n", - "943 2022-08-22 262912 0.0\n", - "\n", - "[944 rows x 3 columns]" - ] - }, - "execution_count": 108, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Checking if new data has been created\n", - "JH_Daily_Confirmed_Nigeriadf" - ] - }, - { - "cell_type": "code", - "execution_count": 109, - "id": "edf41ce5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 109, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Generating a line plot for daily infection rate in Nigeria from global data\n", - "plt.figure(figsize = (20,10))\n", - "sns.lineplot(x = 'Date', y = 'Infection Rate', data = JH_Daily_Confirmed_Nigeriadf)" - ] - }, - { - "cell_type": "markdown", - "id": "3aa2ff9d", - "metadata": {}, - "source": [ - "TODO G -\n", - "\n", - ">Calculate maximum infection rate for a day (Number of new cases)\n", - ">Find the date" - ] - }, - { - "cell_type": "markdown", - "id": "ce9ddd7c", - "metadata": {}, - "source": [ - "#Calculating maximum infection rate for a day (Number of new cases)\n", - "#Find the date\n", - "Highest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].max()" - ] - }, - { - "cell_type": "code", - "execution_count": 111, - "id": "8baf6f59", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "6158.0" - ] - }, - "execution_count": 111, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Highest_infection_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 112, - "id": "d0baa6e0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
    DateConfirmed CasesInfection Rate
    7002021-12-222314136158.0
    \n", - "
    " - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "700 2021-12-22 231413 6158.0" - ] - }, - "execution_count": 112, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == 6158.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 113, - "id": "fe6fc629", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-30.0" - ] - }, - "execution_count": 113, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Calculating minimum infection rate for a day (Number of new cases)\n", - "Lowest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].min()\n", - "Lowest_infection_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 114, - "id": "39a3618a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    DateConfirmed CasesInfection Rate
    8122022-04-13255633-30.0
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    " - ], - "text/plain": [ - " Date Confirmed Cases Infection Rate\n", - "812 2022-04-13 255633 -30.0" - ] - }, - "execution_count": 114, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date for minimum infection rate\n", - "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == -30.0]" - ] - }, - { - "cell_type": "markdown", - "id": "4adb27f6", - "metadata": {}, - "source": [ - "TODO H - Determine the relationship between the external dataset and the NCDC COVID-19 dataset. Here you will generate a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. From the graph, explain your observation.\n", - "Steps\n", - "\n", - ">Combine the two dataset together on a common column(states)\n", - ">Create a new dataframe for plotting. This DataFrame will contain top 10 states in terms of confirmed cases i.e sort by confirmed cases. Hint: Check out Pandas nlargest function. This tutorial can help out\n", - ">Plot both variable on the same axis. Check out this tutorial" - ] - }, - { - "cell_type": "markdown", - "id": "d06167ae", - "metadata": {}, - "source": [ - "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset. \n", - "# Will generate and explain a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. " - ] - }, - { - "cell_type": "code", - "execution_count": 115, - "id": "a9211792", - "metadata": {}, - "outputs": [], - "source": [ - "#Combine the two dataset together on a common column(states)\n", - "NCDC_external = covidnig_rn.merge(covid_external, on = 'states', how = 'inner')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 116, - "id": "609028d1", - "metadata": {}, - "outputs": [], - "source": [ - "#Obtain top 10 Lab confirmed cases fro external data using df.nlargest()\n", - "Top10_NCDC_external = NCDC_external.nlargest(10, 'No. of Cases (Lab Confirmed)')" - ] - }, - { - "cell_type": "code", - "execution_count": 117, - "id": "9582ba5f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    statesNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
    16Abia980.025.0945.010South East41900000.20.90.60.10.30.90.20.01.14
    17Osun979.020.0937.022South West52520000.00.70.40.40.00.80.10.21.06
    18Bauchi897.0108.0775.014North East72700000.80.10.20.80.80.20.80.80.85
    19Borno778.037.0705.036North East66510000.90.30.11.01.00.10.70.90.89
    20Imo734.061.0661.012South East60180000.41.00.90.00.40.90.40.01.12
    21Benue515.044.0460.011North Central63760000.50.70.50.70.40.40.30.50.91
    22Bayelsa497.055.0421.021South South26060000.50.80.60.10.90.50.20.71.00
    23Ekiti405.024.0375.06South West35930000.30.80.30.50.20.80.10.41.03
    24Akwa Ibom395.044.0342.09South East60930000.70.80.70.60.80.80.50.11.01
    25Jigawa386.057.0318.011North West64350000.90.40.00.70.60.50.90.80.92
    \n", - "
    " - ], - "text/plain": [ - " states No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "16 Abia 980.0 25.0 \n", - "17 Osun 979.0 20.0 \n", - "18 Bauchi 897.0 108.0 \n", - "19 Borno 778.0 37.0 \n", - "20 Imo 734.0 61.0 \n", - "21 Benue 515.0 44.0 \n", - "22 Bayelsa 497.0 55.0 \n", - "23 Ekiti 405.0 24.0 \n", - "24 Akwa Ibom 395.0 44.0 \n", - "25 Jigawa 386.0 57.0 \n", - "\n", - " No. Discharged No. of Deaths region Population \\\n", - "16 945.0 10 South East 4190000 \n", - "17 937.0 22 South West 5252000 \n", - "18 775.0 14 North East 7270000 \n", - "19 705.0 36 North East 6651000 \n", - "20 661.0 12 South East 6018000 \n", - "21 460.0 11 North Central 6376000 \n", - "22 421.0 21 South South 2606000 \n", - "23 375.0 6 South West 3593000 \n", - "24 342.0 9 South East 6093000 \n", - "25 318.0 11 North West 6435000 \n", - "\n", - " Overall CCVI Index Age Epidemiological Fragility Health System \\\n", - "16 0.2 0.9 0.6 0.1 0.3 \n", - "17 0.0 0.7 0.4 0.4 0.0 \n", - "18 0.8 0.1 0.2 0.8 0.8 \n", - "19 0.9 0.3 0.1 1.0 1.0 \n", - "20 0.4 1.0 0.9 0.0 0.4 \n", - "21 0.5 0.7 0.5 0.7 0.4 \n", - "22 0.5 0.8 0.6 0.1 0.9 \n", - "23 0.3 0.8 0.3 0.5 0.2 \n", - "24 0.7 0.8 0.7 0.6 0.8 \n", - "25 0.9 0.4 0.0 0.7 0.6 \n", - "\n", - " Population Density Socio-Economic Transport Availability Acute IHR \n", - "16 0.9 0.2 0.0 1.14 \n", - "17 0.8 0.1 0.2 1.06 \n", - "18 0.2 0.8 0.8 0.85 \n", - "19 0.1 0.7 0.9 0.89 \n", - "20 0.9 0.4 0.0 1.12 \n", - "21 0.4 0.3 0.5 0.91 \n", - "22 0.5 0.2 0.7 1.00 \n", - "23 0.8 0.1 0.4 1.03 \n", - "24 0.8 0.5 0.1 1.01 \n", - "25 0.5 0.9 0.8 0.92 " - ] - }, - "execution_count": 117, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Top10_NCDC_external" - ] - }, - { - "cell_type": "code", - "execution_count": 118, - "id": "9a6421b6", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 2-axis plotting to establish relationship between overal CCVI index and Lab confirmed cases \n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['No. of Cases (Lab Confirmed)'])\n", - "ax1.set_ylabel('No. of Cases (Lab Confirmed)')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'r-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='r')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('r')\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "bffcdf76", - "metadata": {}, - "source": [ - "Benue, Borno, Bayelsa, Ekiti, Akwa-Ibom and Jigawa all indicated inverse relationship between the No. of Cases (Lab Confirmed) and Overall CCVI Index i.e as Number of Cases (Lab Confirmed) decreased, Overall CCVI Index tended to increase across these states with Jigawa having the highest overall ccvi index but with lowest lab confirmed cases. For Abia, Osun, Imo, overall ccvi index were lower at higher confirmed lab csaes. Bauchi state showed that high number of confirmed cases was at par with its high overall ccvi index i.e the impact of covid crisis can be directly linked to number of confirmed cases. Inverse relationships for other states further suggests that impact of covid crisis is unconnected to number confirmed lab cases alone." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6a1cf186", - "metadata": {}, - "outputs": [], - "source": [ - "#Further Analysis" - ] - }, - { - "cell_type": "code", - "execution_count": 121, - "id": "729ce8f8", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 2-axis plotting to establish relationship between overal CCVI index and Socio-Economic index\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Socio-Economic'])\n", - "ax1.set_ylabel('Socio-Economic')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'g-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='g')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('g')" - ] - }, - { - "cell_type": "markdown", - "id": "749e0d26", - "metadata": {}, - "source": [ - "For the top 10 states, here we see some direct correlation between Socio-Economic indices and overall CCVI index in most states. Generally Overall CCVI index are higher than Socio-Economic indices as Osun and Bauchi and Jigawa. Osun state had the lowest and equal Socio-Economic indices and Overall CCV index. Jigawa had the highest and equal Socio-Economic index and Overall CCVI index. It can be infered that the impact of the covid crisis is generally higher and can be traced to Socio-Economic indices such as poverty, unemployment, e.t.c " - ] - }, - { - "cell_type": "code", - "execution_count": 122, - "id": "03328e1e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#2-axis plotting to establish relationship between overal CCVI index and Acute IHR Index.\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Acute IHR'])\n", - "ax1.set_ylabel('Acute IHR')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'y-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='y')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('y')" - ] - }, - { - "cell_type": "markdown", - "id": "ceca7d9a", - "metadata": {}, - "source": [ - "Inverse correlation between Overall CCVI index and Acute IHR were observed in all top 10 states. Abia, Osun, Imo and Ekiti states had lower Overall CCVI index with relatively higher Acute IHR. Abia had the highest Acute IHR index and Jigawa the lowest. Borno and Jigawa had the highest Overall CCVI index. Bauchi, Borno, Benue and Jigawa Sates have the higher Overall CCVI index with correspondingly lower Acute IHR index. Borno and Jigawa had the highest Overall CCVI index. Thses observation suggests that the impact of covid crisis cannot be traced to Acute IHR alone. " - ] - }, - { - "cell_type": "code", - "execution_count": 128, - "id": "e2b86b77", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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gzRoh3n5bBoOBKwg/+USL777TgucD6k2lAlavFuHbbzWIijKjc2cjPvhAh+XL7ce9kyezxuIPP9ShShUzPvpIB4mEtcuGUpz4wC0hiKJjMADz5onRtWs9TJwoxYMHOb86rVsbsXWrCocOZaJXLwMEhXyXTWYWU8+k4X9HlTDYxCz2riLFzo4hCJPlnsvaFTQLFcG6+OKtNCOat9WhXDlLgzUaBmvWkJWaIAiioCxaJML778tgNnPF9LffavDZZ7oCZYLyBq5e5UOnA6fiY4sWRpw/z4fRJjwnOJhFejqDbdsEYFlg504BMjMZ1KnjunRTJKgJogDExEjw5ZcSKJX2S00Mw6J7dwMOHszE9u0qvPZawVLf5UamwYxB/6Rg4dVMu+8+a+iHFa2DIBWUfI/qL+KhXjD373E2RY8RI/ScbcuWUQo9giCI/GBZYMYMMaZM4S5p8vksfvxRjTFj9Lkc6Z08f84gKIiFxKqkQmgoC72eQVISdwxs2dKEUaN0ePttGUqX9segQXLMnatBZKTr8nIzSqXSaxIXxsbGlnQTCC/EbAbat2+AtDSueBQKzejSJRmDBj1HxYq6XI72PZRKATp3rg+93jJfnz37Dl59VVlyjSIIgnBjzGZg1qyK2Lw5lLNdKDTjm2/ueX3/WaNGDbttGzYI8eWXEty4YQl4j4tjEBXlj0uX0lGpkkW+ZmYCI0bIUL++CV26GPDvvwLMmiXBtm0qNG3qGouOV6XNy+mGFBexsbEu/T13wteu/eJFHkdMi8Usxo7V4d139QgLEwGo6JTfOZOgx4ADyUjUcmfU4VIefmtbCo1CStZ1Iqf7vj1Og6EHU7I/NywtxMGuoejb18iplrhjR2WMGmWfO9uT8LXn3hq6dt+8dsC3r99V124wAGPHSrF5M7ePVyhYrFunRuvWIQBCir0d1rjDfZdIWOhsbFUvah3IZNztCxeKodMBX3yRdUCDBnrcuMHHnDli/P672hXNJZcPgsiPf//lzjvbtTNi2jQdwsKct7iz6a4aXfYk2onp+sFCHOgaWuJiOjdsC7xcTjYg02DG6NHcXvDIEQGuXaPuhiAIwhq1Ghg0SIZNm7h9aVCQGdu3q9C6te/6y5Upw0KpZKC38nSJj2cgFrMICuKOvxcu8FGrFnf8jIoyIS7OdeMOjXAEkQ8HD3JdPV57zXnFSswsi6/Op2PU4dTsIikv6FpJgt2dSqOcvGSDD/MiVMpHdX/LhMPEZlna69c3o2VL2xR6YtvDCYIgfJa0NKB3bzn27uWOMWXKmLF7twqNG/uumAaAevVMEImAU6csY+DJkwJERZnsAv7Dw1lcu8YdK2/f5qFyZdf5UJOgJog80Ggs6Xhe4CxBrTaa8fa/KZhzKcPuu4/qK7DqtWDIhe7/itpaqY/HZ5kTbFPobdwoREpKyQdTEgRBlDSJiQy6dlXgxAmuMqxSxYQ9ezJRs6brhKC7IpMB/fvr8fHHUpw7x8euXQIsXizGO+9kjTHx8Qw0mqx9hw3T49gxPhYsECEujsHq1UKsWyfC2LGui29y/9GaIEqQkycF2T5bAFC2bFaOy6LyVGVCp11J2B6n5WwX8YClrYIwpXEAeB6SG8lWUJ+Iz+rAOnc2onx52xR6PlCJgCAIIg8ePWLQsaMcly9zjTV16piwZ4+KE2zn63z9tRYNG5rQrZscEyZIMXGiFr16GQAAkZH+2LIla0xp3NiE9evV2LJFhJde8sOSJWIsW6Z2qcuMVwUlEoSzOXiQ+4o0bZoOhimaP/PFJD36H0jGMzVXmJeW8LCuTTCah3mWa0TLcG57zybqoTexEAkYjBypQ0yMJQXU8uVivPeevtD5uQmCIDyZ2FgeevaU4/Fjrj2zeXMjfv9dVahqut6MTAYsWaLBkiUau++UyjTO5/btjWjf3j7drKsgCzVB5IGtoG7ePL1I59sep0HHXUl2Yrp2oAD/dA3xODENAJUUfJSRWboSrQm4mJy1JDdkiAESicXa8vgxD7t2kZomCML3uHiRhw4d7MV027YGbNlCYtrTIUFNELmQmMjgyhXLkhzDsGja1N7fuSCwLIvZF9Mx9GAKNCbuct4bFSTY2yUEFRWeKTQZhsmxDDmQVb2qb18D57ulSz1v0kAQBFEUjh3jo2tXBZKTubKrRw891q9XQy4voYYRToMENUHkwuHDXIFbv74ZgYGOByRqjSxGH07F1xfsxfj/6ijwW5tg+HlA8GFetLQNTHxuCQSxTaF37JgAV6549vUSBEEUlL17BejdW46MDG5czNChevz8swYi98yKSjgIjWoEkQu27h6vvWbIZc/ciVeb0GVPIjbd4/p/CRhg4UuB+KpZAPg8zwg+zAtbC/XJBD3MbJYlvm5dM15+mVLoEQThe2zaJMTAgTJotdx+ftw4HebP14DvvllRCQchQU0QOcCy9gVdHE2XdyXFgLY7E3E2kSvEg8QMtnUojSER3rPGVytIgECRZcBI07O4nmr5e9mm0Nu0SYjkZM+fSBAEQeTGihUijB4thdHI7etiYjT48kstPCSRE1FASFATRA7cucPjBI5IJCyaNy94+p1dDzXo8FciHqu4x0QECHCgSyheDvcuCy2PYewCKl+kzwOAjh2NqFDBEoip1TJYvZrWOQmC8D5YFpg9W4yPP5aCZS2qmWFYzJunwfjx+jyOJjwVEtQEkQO21unoaCMkkvyPY1kWC69kYOCBFKiM3ODDNmXF+LtzCKr6e2bwYX7Y+lG/CEwEAIEAGDWKa6VesUIEo/OKThIEQZQ4LAtMnizB119zBwyBgMXPP2vw9tskpr0VEtQEkQP2/tP5Kz+9icX/jikx9Ww6bNPyj6olx8Z2pRAo9t5XLqcCLyxr+UsMHmyAVGr5/OQJD3/95Z2TC4IgfA+jEfjf/6T44Qfuap1UymL9enV2QRLCO/He0Z0gConRCBw9yhV6r76at6BO1prQfW8S1sWqOdv5DDCnRQBmtwiEwAuCD/MiqpQIUr7lGp+pzXiQaXF5CQpi0a8f1zqzZIl3ub4QBOGb6HTA22/LsG4d17Dg789iyxYV2rWj5ThvhwQ1Qdhw7hwf6ekWYVi6tBl16+Zebvym0oA2fyZyXBwAwF/E4I92pTCylqLY2upOiPgMGodwS4tbp88DgNGjuX+jEycEuHSJuiGCIDyXzEygb185/vyT2/+FhJixc2cmoqNdV/6aKDloJCMIG2z9p1u3NoKXy5uy/7EW7XcmciyxAFDVj4/9nUPwWrkCOF57EbkVeHlB7dpmtGpFKfQIgvAOUlMZ9Oghx6FD3HGjfHkzdu9WoX793I0xhHdBgpogbLAV1Dm5e7AsiyXXM9F3fzLSDVyP6ZfDRdjfJQQRgUK747ydvAITX2CbQu+PP4RISvJudxiCILyPZ88YdOokx9mz3DEjIsKEvXszUb06iWlfwuWCWq/X45tvvkHbtm3RoUMHrF69Otd9L1y4gCFDhqBVq1YYOHAgTp486cKWEr5IRgZw5gw3075tQKLBzOKjE2n49FQazDbRh0MjZNjSvjSCJb6Zrb9pqAhWbtS4k25EvJprve/QwYiKFS0DjU7HYNUqSqFHEITncP8+Dx06KHDjBrevj4oyYvduFcqVsw1NJ7wdlwvqhQsX4vLly1i8eDE+++wz/Prrr/j777/t9ktJScFHH32Etm3b4rfffsPrr7+OiRMn4tmzZ65uMuFDHD0q4CThr1HDhPLlLR1juhF48+9k/HJLxTmOxwDfNAvA/JaBEPF919qqEPLQoBTXMn8ygWul5vPtU+j9/LMIBgqAJwjCA7h2jYcOHeR48IAroV56yYgdO1QoVYrEtC/iUkGt0Wiwfft2TJgwAbVq1ULr1q0xaNAgbNq0yW7fS5cuAQCGDh2K8uXL4+2334ZYLMbVq1dd2WTCx8jL3eNOmgFvX5Lg0DOuGPQTMljfthTG1lGAodJXdn7UtoGJADB4sB4ymWXQefqUh507fc9FhiAIz+LMGT46d5YjPp4rnzp0MOCPP1Tw9y+hhhEljksFdWxsLPR6PRo0aJC9LSoqCtevX4fRpsJDQEAAMjMzsX//frAsi3///RdqtRrVq1d3ZZMJHyM3QX0hSY/XdybioYb7ylRU8LG3cwjeqOBbwYd5YZ+P2t6POjAQeOst7valS8ntgyAI9+XgQQG6d5dDqeSOA3376rFmjRpSaQk1jHALXCqok5KS4O/vD7HYYsEKDg6GwWCAUqnk7NuwYUP06dMHX3zxBVq2bIlJkybhk08+QZUqVVzZZMKHePKEwa1bFn84Pp/Fyy8boTOxGPFvCpR67jJei1ARDnQJQe0gsqxaYyuor6YakK63D86xTaF38qQAFy9SnDRBEO7H9u0C9O0rg1rNXYUcPVqHJUs0ENIw4PO4tEyZVquFSMQdbF981uu5g6tGo8HTp08xfPhwvPrqqzh16hS+//57VK1aFfXq1cvx/LGxscXT8Fxw9e+5E9547X/+WQqAZb2uTh0VEhJi8es5Ae5lcJ/bzqFGfF5dDeVjJZSubWaJUtD7XkUqwf3/rPlmFth68T5aBnFFNZ8PNGsWgdOnLX/z2bN1iImJc1p7nY03PvcFha7dd/Hl64+NjcWOHaXw9deVYTZzxfSoUU8xcuRT3L1bQo0rZlx532vUqOGy3youXCqoRSKRnXB+8Vki4S6Zr127FgaDAe+88w4AIDIyEvfu3cMvv/yCefPm5Xh+V96Q2NhYr3gACoO3XvvNm9z1ug4dBJCUqYJfTyQAVsXEB9WQYdFLgT7nL+3IfW+dkIr7ty1VIx/yS2NojQC7/T78kI/+/S2f9+0rhfnzRQgJcb+gHm997gsCXbtvXjvg29cfGxuLPXvqYMYMe1+Ob7/VYMwYOQDv/Nv48n0vLC5dXw0NDUVGRgYMVuH8ycnJEIlE8Lfx5L9+/TqqVq3K2VarVi08ffrUJW0lfAuWtfeffu01IyafSYPGZBF3AQIWM5oG+JyYdpTocJvAxBz8qAGgfXsjKle2pNXT6xmsXEm+1ARBlCwsC/z4YzlMmcIV03w+ix9/VGPMmJz7NMJ3camgjoiIgFAoxOXLl7O3Xbp0CTVr1oRAwBUzpUuXxp07dzjb7t+/j3LlyrmkrYRvce0aDwkJltdBoWChKqvC9jgtZ7/3KusRJCY/3/yw9aM+n6SHzmRvdc5KoccdmCiFHkEQJYnZDHz8sQS//lqGs10kYrFqlRoDBlAHRdjjUmUgkUjQqVMnzJo1C9euXcPhw4exdu1a9OvXD0BW0KJWmyVgevbsiQsXLmD16tV48uQJtm/fjp07d6K/9fowQTgJW+t0y5eM+OxcGmdbo9JCdA/jFikhcqaiQoDyckuAp86UJapzYuBAPeRyi9h+/pyHHTsowocgiJJh3Dgpfv6Zu8qmULDYtEmFLl3sK+cSBFAChV0+/PBD1KpVC2PHjsXMmTMxcuRItGvXDgDQqVMn7N+/HwBQp04dzJkzB/v378eAAQOwYcMGTJ8+HU2bNnV1kwkfwFZQ82uqEJtm6TgZALNbBIJHnh4FxrYM+fHnOQvqwECgf39KoUcQRMlz8KAAa9Zw+5+gIDO2b1ehdWsyqBC549KgRCDLSh0TE4OYmBi7706fPs35/NJLL+Gll15yUcsIX0WnA44d474K/yqSOZ8HR8jQOESEWKULG+bhRIeJsfGeJvvziXgdAL8c9x01So8VKywWodOnBTh/no9GjWgAIwjCNZjNQEwMN0FCmTJmbN2qQs2a9qk/CcIacgYlfJ5Tp/jQaCymZ2kpIzSlLNX9AkUMpjWm8leOEh3OtfKcTtDDZM45e0dkpBlt2nD9EslKTRCEK9m6VYhLl/icbevWqUlMEwWCBDXh8xw6xLVOa6pmZvl4/MeUxv4oJeGDcIzIAAGCrQI40w0srqbmHszzzjtct48tW4SIjycfG4Igih+9HvjqK67f9Ouvp9AqGVFgSFATPs/BgzaeT5GZ2f+tHyzEsAi5i1vkHTAMgxYFKEP+gnbtjKhSxTJ4GQyUQo8gCNewapUI9+9bDCcCAYsxY56UYIuI4mbJktzHl+RkBoMGyRw6HwlqwqdJTWVw4YKN9TlClf3fOdEB4FMkYqGxTZ+X5UedMzyefTnyX34RQU/pXgmCKEYyM4FZs7jW6SFD9KhYMff+ivB8PvtMgj59ZEhK4o7xf/4pQPPmCntjWz6QoCZ8msOH+WBZq5eprBbwy7KSDqguQ7NQcS5HEgWhZRj373ciXg+Wzb0K4oABeigUlu/j43nYvp1S6BEEUXz88IMYiYkWOSSTsZg0icS0t7NmjRoXL/IRHa3A3r0CpKcDo0dLMWSIDLVrm3HsWIZD5yNBTfg0tunyXlin/UUMYppQIGJRqV9KCJnAMmFJ0JhxLz13n8SAAEqhRxCE60hKYrBoEXfiP3asDuHhuU/8Ce+gSxcjjh/PRPPmJvTvL0NUlB/27xdg4UINduxQoXJlx54BEtSET2O3pBOR5T/9eUN/hEopELGoCHkMmobY5KPOw+0DsHf7OHtWgLNn6V4QBOF8Zs8WIzPTMukPDjbj/ffJOu0r+PmxiIgwgWEApZKBQgFUrFi4rC4kqAmfJS6OQVyclVDjm4FqatQJEmBkTQpEdBb2ftR5O0XXqGHG669zs4EsW0ZWaoIgnEtcHINffuH2LR99pENAQAk1iHAphw5luXssXizGxIk6nD+fgapVTejZU47//U8KpdKx85GgJnyWgwdtfHOraAARi9ktAiGgQESn0TKcu5yan4UasE+ht3WrEM+f0z0hCMJ5fPONBAaDpV+pUMGMkSMpCtpX6NFDDrEY+PvvTHz6qQ6VK7PYtk2NmTO12LpViOjonAuR5QYJasJn2XvAPrtH32pSOwFIFI0mIUIIrXqauAwTnqnzzu3atq0R1apxU+j9+itZqQmCcA6XL/OwaRPXqPL551qIqfv3Gd57T49DhzIRFcV18Rg9Wo8jRzJRqZJjrh8kqAmfxGQC/vmXK6hldVSY3oTW+pyNTMBDVCnuwHXied5W6pxS6P36qwg6cm0kCMIJTJ8u4WR4ql3bhL59cy88RXgfX32V+wSqalUzdu9W5fxlLpCgJnyS3w6aoM+0EtQyEz7tIkS4jILfioPoHNLn5Uf//nr4+VmirBMSeNi2jVLoEQRRNA4f5mP/fm5fMm2aFnzq/n2Op08ZTJggQVSUAuHh/rh4kYfJkyX44w8hGAe9DElQEz6Hyczi6w3cpRy/2mqMqacooRZ5P7aBiQXxo/b3z8pLbc2SJSLkkcaaIAgiT1gW+PJLCWdby5ZGtG9vLKEWESXFnTs8vPKKAjt2CNGkiSm7iFhiIoPRo6XYsYMKuxBEnqy8rcLzi1LOtsFdWAgpELHYaGFjob6eaoRSl79/mq3bx4ULlEKPIIjCs2OHAOfOcYXSl19qHbZGEp7PF19IUK4ciwsXMrBkiSbbWLN0qQZduxqxcKFjDvUkqAmfIllrwvQTGcB9rqAe3aNk2uMrBIl5qB1oGcRYAKcS8nf7qFbNjPbtuX6NVOiFIIjCYDQCM2ZwrdNduhjQtGneQdKEd3LsmAAffqiDnx/sJlSDB+tx65ZjxhsS1IRPMf1cOtJuSAGT5dGvUMnkcEUkwnGiw239qAsWYWibQm/bNiGePSNzEkEQjrF2rRB37lhEEo/HYsoUbQm2iChJeDyAYXIe+1Uqe5Gd7/mc0CaC8AjOJ+qx+rYauM31lW77GvnOuQJHC7y84LXXjKhRw2JBMhrtizEQBEHkhVoNzJzJtU4PGmRAZGThquIRnk90tBFz50qQlmbZxjBZWcBWrBCjZUvHtAEJasInMLMsPj6pBAsAt7lVEF8jQe0SbDN9nE/SQ2PMf2WAUuiVHGqjGevvqLErgV+ge0UQ7sqSJWI8f26RPBIJi08/Jeu0LUqdGQ8zfWNMnD5di4cPeWjc2A8jRkjBMMCCBWK88ooCFy/yMXmyY88HCWrCJ1hzW43zSQYggw88tVgpGIZFq1bkP+cKysn5qKSwLLcazMDZxIJZqd96Sw9/f4ugS0riYcsWSqFX3PzvqBJjjqRi2m0xxh1PLenmEEShSElhMH8+d0L/7rs6lC1Lk8QXXErW4/2jqaj1+3NMOZOW/wFeQGSkGf/+m4k2bYw4eVIAPh84fFiAiAgT/v47E3XrUmEXguCQqjPjy3PpWR9srNMNG5oQFESdqquwd/somJnZzw8YOJArvpcupRR6xcn9dCO23Ndkf954V4PYNCp8QXge338vRnq6xSE2IIDF+PG0xKUzsdh4V432OxPRekci1sSqoTGx2PlAiwSdb8SpVKlixrJlGty8mYHExHTcuZOBlSs1qFXLcVcgx5LsEYQH8tX5dKS8SNF2i+s//eqrvrG05S60DBdjw12LSCuoHzUAjBql/y8PdVZHf/GiAKdP89G8Oa0wFAdb4zR221bdUuOrZlRNlPAcHj1isHw5dyL/0UdaBAaWTHvcgceZRqy8pcaq2yokau2Fo4kFtj4X4KW6JdC4YiYuzrGJgiMJC0hQE17NxSQ9frn5X/lQFnYWahLUrsXWQn0mQQ+jmYWgADnAq1Y1o317I/butbh6LF0qQvPm9sKPKDrW1ukXrL+jxpTG/hDzfcN6RXg+334rgc7K2lqunBmjRhV8Iu8tsCyLw8/0WHEzE7seamHKQyeWl/NRSuSdf6OGDf0cyt6RkpJe4H1JUBNei5llMfFFICIAJIiANIsYk8lYsm66mOr+AoRIeNlWkUwjiyspBjQsXbCsHe++q+cI6h07hHj6VEu+kE7mttKAqyn27h3JOjP+eqBBr6qyEmgVQTjG9es8bNjAjbX49FMtpNJcDvBC0vVmbLijxs83VbiVlrcB6dWyYoysKUeHChLcv3vHRS10LT/8YDEUpKczmDZNguhoI95804AyZVgkJzPYuVOIAwcE+PZbx4w15ENNeC2/3VHjTKKVKLBx92jZ0gixY4WQiCLCMAxa2JUhL7gl5NVXjYiMpBR6xU1O1ukXrLytdmFLCKLwTJ8ugdlsMUdGRprQv79vxAHcVBrw8Qklav/+HJNOpeUqpv2FDEbXkuN0z1Bse6M0ulSSFmjF0FXodMC4cVJUquSPiAg/LFiQe39/+zYPXbvKUaaMPxo3VmD7dnub8YABhux/p0/z0aOHAdu2qTFokAFt2xrRt68Bq1er0a+fHjt2OBb4ToKa8EqUOjNiznKXakIf+XE+t25N7h4lgW36vBPPCx4cxDD2KfRWrhRBS9mvnAbLsnkK6sPPdLibj6WLIEqaEyf42LOHK4imTtVC4MXr8kYzi+1xGnTZnYgWWxOw4qYKmbmku6wdKMD30YG43i8cs1oEIiLQPbMmTZkiwenTfGzfnol58zSYM0eCzZvt25qZCfToIUfZsmYcPZqJUaP0GDlShps3c5e5e/cK8eabOU+wOnY04vhxxx4WEtSEV/LNhXQkWQVbiAGobnLX+Sj/dMnQ0sZCfTJBD9aBdB39+lEKveLkWqoRt60Es4ABqsu4gUurb6tc3SyCKDAsC8TEcIu4NG9uRKdO3tnnx6tNmHUxHfU3PcfQgyk4+jznVT8+A/SoLMXOjqVxrEcohteUQyF0XxmoUgGrV4vw7bcaREWZ0bmzER98oLMLMgWADRtEEAiAxYs1qFbNjHff1aNNGyNOn869fHhAAIsbN3K+/rNn+ShVyjFXQvf9SxJEIbmSYsCKm9wB/01+KagyLY97aKgZdepQhaySoG6wEAqBZUkxSWtGrAMWT4UCGDSIO2AsWSKmFHpOYut9rktHm3JiDCjHteKsu6OGPq+oJoIoQXbvFuDUKa51cdo0rcOlpN0ZlmVxMl6HkYdSUHfTc3xzIQNP1TmPaWFSHj6J8sPVvuFY+VowXg4Xg/GAP8bVq3zodECLFhY3vxYtjDh/ng+jzZBx+LAAHTsaILSyrfz+uxpDhuTu4tOnjwEzZ0qwZIkIjx4x0GiysoB8/70Y8+eLMWyYY4GZJKgJr4JlWUw6qYTZaqyvpOAj7CE31derrxq9qnP1JAQ8Bs1CC1eG/AWjRunBMJabfPkyH6dO5W6JIApGTu4ePavI0K60Cf4i7iRo9yPysyHcD5Mpy3famjfeMKBlS+8IQFcZzFh1S4VXdiSiw64k/HFPA0MutqHoMBF+aR2EK33C8VlDf5SReVYf+fw5g6AgFhKr2xkaykKvZ5CUxB3A79/nISSExUcfSRAZ6YdWrRTYsydvl43Jk7Xo2NGAzz6ToEEDP5Qr549Gjfzw1VdiDBmix0cfOZarnFEqlV5jZoiNjS3pJhBuyogRNXH5siUocerU++jaNbkEW0QUlQkTquPIkcDsz6+/noJvv71Xcg0iCKLE2bGjFGbMqJL9mWFY/PbbNVSvThNAd6ZGjRp22zZsEOLLLyW4cSMje1tcHIOoKH9cupSOSpUs8rVhQwWSk3kYOVKH7t0NOHhQgBkzJDhwIBNRUXmvRt++zcOxYwKkpjIoXdqM1q2NnHMXFK9yz8/phhQXsbGxLv09d8Jdrz1db0bTLfGI11henjfKi7GsWWlcu8bNP/3WW6VQtmyww7/hrtfuCpx57cee69B5d1L25woKPq70CXfoHB99xMeRI5bPBw8GQSaLQLlyxWMj8IV7P+VMGhZdzcz+3LmiBOvalkJsbCy0pSrjle0JnP0vvhmGyn5eNYzY4Qv3PS886fo1GuCXX7jB52+9ZUDHjhUKdb6SvnaTmcW+J1osv6HCgSd5W0ur+fMxsqYC/avLECguuvNBSV87AEgkLHQ2l/0ip7jMJnOnQADUqWPC1KlZBzRooMeJEwKsXCnC/Pl5T6YiIsyIiCh63m3v7gkJn2LmxXSOmBbxgG+bB+LoEQFMJm7qJMpbXLI0Li2CiAfo/7tdjzJNeJxpRHlFwbuk1q1NiIw04datrGVMkykrhd6UKVRSuDCwLIutNu4evapYAnnrBQvRJESIs1apKFffVmFqY6qcSLgHK1aI8OSJRUyKxSw+/9zzLNMpWhPWxGbljn6YmburCo8B3igvwahacrxaVgyel/kxlinDQqlkoNcDov+8BOPjGYjFLIKCuGN4eDiLKlW4lujq1c24dSv3yQXLAmvWCLF7txBqNQOzjSGbYYAdOwoegE0+1IRXcD3VgKXXuQ/+B/X8UNVfgH//5Yo0qo5Y8kgEDBqVLpofNcMA77zDPebXX0XQUOHEQnEmUY/HKsvgLeUzeKMC1xd1SAR3pWdtrBoGM01OiZJHqQTmzuWm5Bw5Uo8KFTzn+byQpMfYI6motfE5pp1Nz1VMB4t5GF9PgQu9w7D+9VJoU07idWIaAOrVM0EkAic+5uRJAaKiTHbpD5s1M+LSJa6P+K1bPFSsmLu7x1dfiTFunBRXrvCh1QJGI/efwcGU5WShJjyeF4GI1kkHKij4mFA/y2eaBLV7Eh0mwskEiyA+Ea9Hn2qOVeDr10+PmBgJ0tOzBpOUFB42bxZi0CDfKN7gTDbf485EOlSQ2KXU6lVFii9OpyHDkPWyJWjM2P1Qi26Vfaj0HOGWLFgghlJpeV79/VmHg8pKAq2RxbY4DZbfyMS5pLz7rcalhRhZS4GelaWQCLxPQNsikwH9++vx8cdS/PijBvHxDBYvFmP+/Ky+Kj6egb8/C6kUGDZMj6VLxZg2TYJhw/TYvTvLmHbgQGau51+3ToThw/WYO9c5qxhkoSY8ni33NXZ5N79pFgCZgIfHjxnExlpmrQIBi5dfJkHtDtgVeIl3fPCTy4EhQ7j3fulSSqHnKKb/CkJY07OKvUhWCHnoY1N2nHJSEyXN06cMfvqJ25+MG6dDcLD7dgQPM4348mwa6mx8jnePpOYqpsV8oH91Gf7pEoIDXUPRv7rMJ8T0C77+WouGDU3o1k2OCROkmDhRi169sv5WkZH+2TUIKlRgsXWrCkeO8NGihQKrVomwerUaDRrkbqFOS2PQrZvzjC9koSY8mgyDGZPPpHG2tSkrRpeKWUvVBw9yH/GmTU3w48asECVEs1ARGAAvhrwbSiNStCYESxxL7TRypA4//CACy2YNMleu8HHiBN9r0mS5ghMJejy3ij9QCBi0Ky/Jcd+hkTL8cssiog880eFBhhGVvDw4kXBfvvtOAq3WIjLDwsx49133s06bWRb/PtVh+Q0V9j7WIi9vqQoKPkbWlGNQDRlKOdgnehMyGbBkiQZLltj78imV3LG/aVMT/vmn4BP8qCgTLl3io3Vr54wV1AMSHs3sixl4ZpXMXsgDZrUIyE5ab+vuQeXG3YdAMQ91goW4mmKxEJxM0KNTRcfcBypXZtGxoxG7dlky+i9dKkbLluo8jiKs2WLj7tGpkgTSXKxgDUqJ0LC0EBf+s6ixANbEqjG5kX9xN5Mg7Lh9m4c1a7iVUj/9VAe5PJcDSgClzoz1d7KCDO+k5z0GtS0nxsiacrQvLwGf5zuW6JLg2281GDRIDj+/rEqaMpn9DKdy5YKvcpCgJjyW20oDfrzG9Y/6Xx0Fqgdkda5mM3DoEPcRp3Lj7kV0mIgjqE/EOy6oAeCdd3QcQb1zpwCPHjEeFZBUUhjNLHY8yD27R04Mi5DjQpIy+/Pa2yp8GuUHAQkAwsXMmCGB2Wx57qpVM9lVUi0prqYYsOJGJjbe00BtzL0v8hcxGFhdhhE15dnjF1H8vP66AmYzMGGCJNdCbykp6QU+HwlqwiNhWRaTTqXBuo8qJ+Pj4wYWf46rV3lISuIGqTRuTG4A7kTLMBGW37As0RXGjxoAWrUyoVYtE27c4KbQmzbN/ZZ93Y0jz3RI0lpWeQJEDNqUzdnd4wW9qmYFJ2b+9wI+15ix95EWnStRcCLhOs6c4ePPP7kCdOpULaf8tKsxmFn8GafB8puqfDMX1QkSYHQtBd6sKoVcSCFtrmbBAo1TKyaToCY8kh0PtPj3KVcsfdXMn9Mp2bp7vPyy0S7VDlGy2AYmXkwyQGUwOzy4ZKXQ02H8eEvA3MqVIkyapIOUNF6e2JYa71JJChE/71HGT8hD76pSrLptcatZdVtFgppwGSwLTJvGnfg1amREt24lswr5TG3CylsqrLyl4tRDsEXAAN0rSzGylhwtQkXZ7omE6xk40LnZoGhKRHgcKoMZX5zmBiO0KiNGD5vUXbYBiZQuz/0Il/FR1c8ScGNkgbOJhVuu7dPHgMBAy0CWmsrDpk20fJoXepO9u0fvfNw9XjAskuukuv+JDo8y6R0jXMO+fQIcP87t42NitE61OOYHy7I49lyHYQdTUG/jc3x3MSNXMV1GxsPnDf1wrW84fn41GNFhYhLTJYDZ7Ng/RyB7HeFxfH85g1OAQsAAs60CEQFAqwVOnCD/aU8gOlyMexkWS+fxeD1a5+NykBNZKfQMWLjQYvVeulSMwYMNLh1kPYmDT3VI01v8pkqJeWhVRpzHERaiSglRP1iIy//5wJvZrEIvnzWk4ESieDGZgJgYbh/Rtq0BrVq5xqUv02DGxrsarLiRievKvMeVl8NFGFVLgU4VJRBSjEGJU6qUf4HHA4YBkpPd2Idar9djzpw5OHDgAIRCIQYMGIAhQ4bkuG9cXBy+++47XL16FaGhoXjvvffQpk0bF7eYcCfuphmx6Co3EHFMHQUiA7mWyFOn+Jw0SuXLm1G9uoPTTcIlRIeJsC7WIqgdrZhozYgROixeLMoOUrp2jY9jx/h4+WXync+JLfe5mVC6VZYUOLCQYRgMi5Rjwgll9ra1t9WY2ICCE4niZdMmIa5f56aSmzat+EuMx6YZsOKGCuvvqJFuyD3IUCFg8NZ/QYa1gmiVzJ2YNElXbAYWlwvqhQsX4vLly1i8eDESEhIQExOD8PBwtG/fnrOfWq3G//73PzRu3Bjr1q3DiRMnMHnyZKxduxZVq1Z1dbMJN4BlWXxySgm9lS4Ol/IwKco+sXRO7h5kpXRPWtr4UZ9N1MNgZgtlzalUiUWnTkbs3MlNoffyy5RCzxatkcWuh1wR0quKY5Uq36wqxeQzadkZDJ6oTdj/RIsOFciXmigedDrg66+51uk+ffSoX794DCZGM4s9j7RYcVNlF7djS0SAACNryvFWdRn8ReRR64589lnxBaq79I5rNBps374dEyZMQK1atdC6dWsMGjQImzZtstt3165d4PP5mDJlCipWrIh+/fqhefPmuHLliiubTLgRfz3UYv8T7sswo2kA/HIIYDt4kGsVIP9p96WKHx9hUss9VBtZXEoufLDIO+9wn5G//hLg4UOaTdmy74k2u4Q4AIRJeWgZJnLoHP4inp3P9cpbNHkhio+ffxbh0SNLfyEUsvjiC+dbp5O0Jvz6SICoP+Ix6J+UXMU0jwG6VJRg+xulcapnKEbXVpCY9lFcetdjY2Oh1+vRoEGD7G1RUVG4fv06jEau4Dl79ixatWoFgVVahnnz5qF79+4uay/hPqiNZnxmE4j4UrgIb1a1t4QlJzO4fJn7aFNBF/eFYRj7MuTPC29FePllE2rXtrh4mM0Mfv65YH7BvsRWm+we3StLC1VIYqhNcOLfj7V4oiIXG8L5pKUBc+Zw3+W339Y7VHwjL1iWxdlEPUYfTkHt35/jxwciTryONaUlPHxc3w+X3wzD2ral0LosBRn6Oi4V1ElJSfD394dYbHkhgoODYTAYoFQqOfs+fvwYQUFB+O6779CxY0cMHjwYR44ccWVzCTdi/pVMPMq0dGx8BpjVPDDHDuzwYUF2GWoAqFfPhJAQKvDhzkTbWEaPF8GPmmFgV3Z41Soh1GQ4zUZlMGPPI1t3j8K5aTQuLUSdIIvhw8wC62ILXv6XIArKokVipKRYZItCwWLixKIv4WuMLNbGqvDan4l4fWciNt7VcFwLrWkWIsKyVkG41jcckxv7o7yCcjsQWTj0JGzcuBEdOnSAv3/hori1Wi1EIu7A+eKzXs8dQNVqNdauXYs333wT8+fPx8mTJzFp0iT88ssvqFWrVo7nj42NLVS7Courf8+dcOW1P9YwmH9JAsAikvuUMUCUHIfYZPv9t22rBMDiCxoVlYjY2MdOaw/dd+dTTscAsAi64880uHU7FoWNbWvYkIeAgPpIS8vq4pRKHhYvTkXPnklFaqe33Pu/E/lQGy2GjTCxGUFpDxGbR0B7XtfeKUiAa6mWvv2X62noJotHPumsPQZvue+FxR2uPylJgMWL63G2DRjwFErlM9jY4wrMEy2Dzc8E2BEvQJox94dVzGPxRogJfcoYUFOhBsxKPLxXuN/0JFx532vUqOGy3youHBLUixYtwqJFi/DKK6+ga9euaNGihUNLHCKRyE44v/gskXCDDPh8PqpVq4axY8cCACIjI3Hx4kVs27YtV0HtyhsSGxvrFQ9AYXD1tU/enww9a7GmhUp5+O61igjIwU+NZYHz57lBij17+jmtvXTfi+faq5pZ+F97lh05n2ZkYA6pjMgiRMi//bYR8+dburht2ypg4sSgQgenetO9//JhMgDLO9Wnuj8iIyrkun9+1/5eRTMWP3gOjem/yok6Hh7JKqBdecfTH7ob3nTfC4O7XP+SJRJotZbMHiEhZkyZooCfn2NtM7MsDjzRYcWNTPz9WIe81i7LScx4t14gBtWQI0jsW37R7nLfPQmHnpDdu3dj3LhxePbsGcaPH4+uXbtiyZIlePToUYGODw0NRUZGBgwGS8BRcnIyRCKRndW7dOnSqFy5MmdbpUqV8Pz5c0eaTHg4ex5psNdmafrLJgE5imkAuH+fxwlYEYtZREeT/7S7w+cxaGHn9lG0pdwRI/Tg8SzD5fXrfBw5ws/jCN8gXW/GvifOcfd4QaCYh552wYnk9kE4h7t3eVi1its/TJyog599gqdcUerMWHw1A002x6PPvmTszUVMMwDalxdj4+ulsKWxFu/X9fM5MU0UDocs1AqFAm+++SbefPNN3L17Fzt37sSuXbuwcuVKREVFoWvXrmjbtq2dtfkFEREREAqFuHz5Mho3bgwAuHTpEmrWrMkJPgSAevXq4eTJk5xt9+/fR5kyZRxpMuHBaI0sPj3FDURsESrCW9VyH/xt0+W1aGGi0tMeQnSYGH8/tojoE/F6jKhZ+PNVqMCiSxcjduzgptBr1cq3nal3PdRCZxVnVdmPj4ali54rd1ikDL/dsfxt9zzS4pnahDIymsQQReOrr8QwWrlkVK5swrBhBYuzuJysx4qbKmy6q8leQcmJQBGDwRFyDI+Uo4p/1jjiBp4uhJPp2FGe/07/wTDArl0FNwwUetpVrVo1jBs3DjNmzEDDhg1x4cIFTJ8+HZ07d8bSpUs5VugXSCQSdOrUCbNmzcK1a9dw+PBhrF27Fv369QOQFbSo1WZZTnr16oWHDx9i0aJFePz4MdavX4/Tp0+jZ8+ehW0y4WEsvJqBuAzLyM9jgFk2FRFtsRXUr71W+PRrhGuxDUw88VwPli1aMKltCr3duwWIi/MSx95CstWmmEuvKlKnZCdoGiJCrUDL+2diwSnYQxCF4cIFPrZu5fYNkyfrIMojw6PexGLTXTXe+CsRrXYkYvVtda5iukEpIRa9FIjr/cIxo2lAtpgmvBMeD+DzC/aP56BCLtST8/DhQ+zatQu7d+9GfHw8qlSpgvHjx+OVV17BsWPH8NNPP+HRo0f46quv7I798MMPMXPmTIwdOxZyuRwjR45Eu3btAACdOnXC1KlT0aVLF4SHh2PRokWYO3cufv/9d5QrVw7fffcdIiMjC9NkwsN4kGHE95czONtGRMpRv1TuvajJlJXhwxrKP+05NCwtgpiPbOvpE7UJDzNNqORX+AGuZUsT6tY14erVLCvpixR6M2YUf1U1dyRVZ8Y/Nvl0ezpYzCU3GIbB0Eg5Z1Vp9W0VJtRXgEfpxIhCYltivH59E3r1ytlQ8kRlwq+3VFh9W4UETe6FXkQ8oEdlKUbVUqBJiJDS3fkQf/1VfK5oDo1Umzdvxl9//YXr169DKpXi9ddfR7du3VCvniXytl+/fkhISMAff/yR4zkkEgliYmIQExNj993p06c5n+vVq4eVK1c60kTCS/j8dBq0VsvSpSU8fNEo7+wyFy7wkZ5u6RiDg83FVj2LcD5iPoPGpUWclHkn4vVFEtQMk2Wlfv99i2hcvVqETz/VQl7wlT+v4c8HGhisXokaAQLUDXKeRa5fNRlizlre3YeZJvz7VIc25Tw/OJFwPQcPCnDoEPf5jInRciyHLMviyHM9lt/IxK6HWuTh1YHycj7ejpRjSIQMIVJyRfJFjh7l4+WXiydPvkMG7VmzZoFhGHz++efYtWsXvvjiC46YfkG1atXQu3dvpzWS8C32P9biL5uSyNMa+yMwn8AQW3eP1q2NDi/ZECWLbRnyE0UMTASAN980IDjYoiLT0hhs3OhYRUBvwbaYi7PcPV4QJOahe2UKTiSKjtkMTJvGnYi1bm3Ea69lrTpmGMxYfiMT0dsS0G1PEv58kLuYbl1GjDVtgnHxzTB81MCPxLQP07WrHE2aKLBokQiJic5dmXDINLF+/XpUrVo1x+9YlkV8fDzCw8PRqVMnpzSO8D10JhafnFJytjUJEWJgjfyXpe39p8ndw9OIDhcBly2fTxShwMsLpFJg2DA9vv/eMjgvXSrCsGH6QqfQ80SStCYcfsadoBQ1u0dODIuU4/e7FuG+66EW8WoTwig4kXCArVuFuHyZ+8zExGhxK82An2+osP6OGpnG3M3RfkIGb1WXYWRNOSIDix50S3gHS5ZosH69EDExEsyYIUHHjkYMHapHmzZF1wsOCeoBAwZg2bJlqF+/vt13Z8+exaRJk3Dw4MEiN4rwXX64lom76ZblGAbA7BaB+fpgZmYCZ85wO18qN+55NA0RgcdkVdsDgNtpRiRpTSgtKZoYGz5cjwULxDCZsp6jmzf5OHyYj9atfadE9o44rgWvdpCgQELj0SMGly7JkZJSsHvAsFJUTFTg4X+VTY0AvttqRL/qnrkqkJwsRbVqjgcoEYVHrwdmzOCuVjVrr8HU589x5GLek+xagQKMrCVH32oy+AnpphFc+vUzoF8/A548YbBhgwgbNgjRu7cM5cuzGDxYj4ED9ShXrnDB8PkK6u+//x5paVlBJizL4ueff0ZgYKDdfrGxsZyS4gThKI8yjZhziRuIOCxShoal8x+Ijx8XwGCwiO6qVU2oVInKjXsa/iIe6gULcSnZEnR0Il6PrpWKZkktX55F164GbNtmeZaWLBGjdWvfyUKx2Sa7R+88ghFZFvjnHwHmzxfjyBEBAEer43ITBP/y3z/PpA5eftmItWtVyGHoI4qBVatEiIuzmsDxWJxu8gR4nrOY5jNAl0oSjKypwMvhIgoyJPKlXDkWH32kw0cf6XD6NB/r1wvx448izJolRps2WVbrDh2M4Dtgy8lXUFevXh0///wzgKwo7tjYWAiFXKsGn8+HQqHAJ5984tgVEYQVU86kQ221hBckZjAln0DEF5C7h/cQHSayEdS6IgtqAHjnHT1HUO/Zk5VCr3Jl7594PVObcNxGjOTk7mE0Atu2CbFggRhXrpCLxguOHhWgc2cFtmxRISzM+5+XkiQjg8XXM22Mc9GpQIi9mA6V8jAsUo5hEXKUldPzShSOZs1MaNbMhJkztfjrLyG2bBFi1CgZ/P1Z3LyZkf8J/iNfQd2tWzd069YNANC8eXPMnDkzR5cPgigK/z7VYlscN2BqWuMABBdwqf/ff+0DEgnPpGWYGEuuWwLZbIVgYWnRwoT69U3Zfpksy2D5cjG+/tr7U+htj9NwqsJFlRJy8u2q1cC6dSIsXizGgwe0TJ4T167x0bGjHFu3qmj1qxhQG834454GX30rhjLZ6hkUmYH2iZx9o8NEGFlTjq6VpBDxyRpNOAexGKhc2YyqVc24dInFs2eOPVsO+VCfOnXKoZMTREHQm1hMOsmtiBhVSojBBQhEBIDnzxncuGER3jwei1atSFB7KrYFXi6nGJBhMBfZH/JFCr333rM8V2vWiPDZZ1ooFEU6tduz5Z59dg8ASE1lsGKFCEuXipCUlPvft3p1NYKDHfOBTtezuKm0rDQwAKJKCyHkeY4Aio/ncSYY9+7x0aGDAlu3qlCzJqXkdAb30o34+aYKa2NVSEvhAbvCuDu0Tgb8TZAJGPStKsWIWgrUC6YgQ8J5xMUx+P13ETZtEuLePR6qVDFj+HA9BgxwzJiTr6CeNm0aRo4ciQoVKmDatGl57sswTI75pQkiL5Zcz8TtNK4AnhMdCH4BB15b63SjRibydfRgQqR81AgQIPa/Z8LMAmcS9E7JZdy7twFTp5qR/J8FLD09qyMdMcI5VnB35FGmEacTudfXQizH559LsGqVCCpVzu8Zw7Do2tWI8eN18PO7iRo1ajj0uyzLoumWBNxJz7qPLICeTfzxQT2/vA90I9Rq4M03gePHA7K3PXvGQ6dOcvzxhxqNGvlOUKszMZlZ7H+iw/Ibmdj/xCrzzN+lAZ3VqqTciCrdlRjVMAADqsvyTZ1KEAUlJYXB5s1CbNokxNmzfEgkQNeuBsyfryl0nup8BfXFixehUqmy/58XFAhAOMpTlQmzLnJ9lAbXkKFJSMGtYbb+01Qd0fOJDhNlC2oAOB7vHEEtkQBvv63HnDncFHrDh3tvCr1t1rmnn4tQ+ngoOk30g9GY8wWLRCz69zfg/fd1qF49ywobG+v472ZVTpRhypn07G0rb6nwfl2Fx4wVMhkwZ84dzJ1bD5s3W/qklBQeunWT47ffVGjVikR1QUnRmrA2Vo2fb6rwINPm75YsBI4Hcza9/Z4GcweGUKVNwmls2SLE778LcfCgAAYD0KCBCbNna/Hmm3oEBOR/fF7kK6i3b9+e4/8JwhlMPZvGySUaIGIwrUnBMwqwLOwqaZGg9nyiw8RYfduSlcIZBV5eMHy4HvPmWVLo3b7Nx7//Crw2kHVLnAa4LwX+KQ1c9UNSLvv5+7N4+209xozRITzcOT7C/avLMP1cenZ1xnsZJhx5rkerMp6TEUooZLFsmQYBASx++cXS7sxMBn36yPHLL2p07uydz46zuJikx/KbKmy+p+ZUwOWwOwQwWYRzhQpmzPzITGKacCojRkgRGMhi6FA9hgzRo14957luOa/mLEE4yJFnOvxh49s5uZG/QzmHb97k4flzyzKgXM6iWTOyGHk6tn7U5xL10JlYiJ0QgFS2LIvu3Q3YssU6hZ7I6wS12Qys3sbgwoxywP3c4xHCwswYM0aHt98uuoXGltISPrpWkmKLlZV81S2VRwlqAODzgblztQgKYjF3rmV1Q6djMGSIDIsXa9C/vyGPM/geOhOLrfc1WHEzE2cT8/7b1FTJcet8ACdw9vPPtaBMvISzWbZMg27dDMXybOUrqEePHl3gkzEMg6VLlxapQYRvYDCzmHRSydlWL1iI4ZFyh85j6+7x0ktGiDyzfgRhRSUFH2VlPDxVZ1kPtKYsK1fzMOf0gu+8o+cI6r//FuDePR6qVvX8QDODAfjjDyEWLhRzgnVtqVrVhHHjdOjXzwBJ0b1pcmVohJwjqP98oEGy1oRSRSzW42oYBpgyRYfAQBZTplhSDppMDMaMkSEtTYN33/VeX/yC8ijTiF9vqbD6thpJ2tzfJzEf6FVFhlE15fhmTCBuspbJcu3aJvTtSxMUwvn06ZP1XMXFMVCrGdSuzX1Gv/xSjAEDDKhRw/GxIF8Pfx6PBz6fX6B/PColRRSQ5TdUuKG0CURsEVDgQMQX2AYkkruHd8AwDKJtxLMzypC/oFkzE6KiLM9KVgo9z56JqVTATz+J0LChH8aMkeUqphs2NGLVKhXOnMnE0KHFK6YB4JUyIlT1s7RFbwbW3/Hcgjrvv6/HwoVq8Hhct5hPP5Vi5kwxWB/MqMeyLP59qsWAA8lo8Ec8vr+cmauYrqDgI6axP673DcdPrwQh84YU+/dzs3ZMm6Z1qKAGQTjCkiUiNG3qh5UruX3+gwcMFiwQIzpagVWrHM8kk6+FesmSJQ6flCDyIl5twswL6Zxt/avLHLY+6vXAsWMkqL2V6DARNltZNk/E6zAezskQkZVCT48xYyzPz7p1Inz+uRZ+npOEAgCQnMxg6VIRli8XITU1D6NGZCZWf2VG19dZlwZg8hgGQyPlmHbW8s6vuq3Ge3U8JzjRliFDDAgIYDFypIxToXXmTAlSUxl8+63WJ0qVp+nNWH8nK8gwNi3vvrdNWTFG1ZKjfXlJtuGEZYEvv+TO6Fq2NKJ9e+rHieLh0CE+PvtMgh49DBg7lhubU6kSi4sXM/DFF1J8+KEUNWua0bx5wV1I833lzWYz5//5/SOI/Jh6Ng3pBosZx1/I4EsHAhFfcOYMn5PyKzzcjFq16Bn0Fuws1Al6mMzOM//16mVASIjleUlPZ7Bhg+dYqR88YDBxogR16/ph1ixJzmKaYYGGacBH9/Da9Hh0a+daMf2CAdVlsE4jHptmxHEnrjiUBN27G7FxoxoyGfeZXLpUjLFjpTB6sSa8nmrAhONK1P79OT49lZarmPYXMRhTW46zvUKx5Y3S6FhRylmF3LFDgHPnuEaRL7/Uem3GHaLkWbRIjHbtjPj1V02OVXIrVmSxZo0azZqZ8P33jhn58rVQt2zZEsuWLUP9+vURHR2dp0WBYRicOHHCoQYQvsWJeB1+v8sNRPysoT9CpY6v79n6T7dubaSO2IuoFSRAoIiBUp/V6aXrWVxXGp1W1EEsBoYN02P2bIuFbNmyrJzU7mxdvHqVh4ULxdi8WZidqcQWiYSFODoNaS0TgdJZPoM9qwS6sJVcQqR8dKoowfY4S1XKVbdUeCncs6POXnvNiG3bVOjTR460NMu92LBBhLQ0Br/+qi52lxpXYTCz2PlAg+U3VPlOhuoECTCqlgJ9qkohz6Ugk9EIzJjB/eN06WJA06YUVE4UH1eu8PHdd5p89xs2TI/p0x17efMV1CNGjEBYWFj2/z11iY4oeYxmFh+fUHK21Q4SYFQtxwIRX2DrP+1tWRp8HR7DoEWYGHseWUTYiec6p1ZJe5FC70VO5thYPg4eFKBtW/d6llgWOH6cj/nzxdi3L/frDwhgMWqUDq36qtDtWHz2dgEDdK0kzfU4VzAsQs4R1NsfaPCdzowgDy/W0ayZCX/9lYleveRISLBcy+7dQvTpk5Wr2tPciKxJ0gObL6Rj1W0VnqlzXwEUMED3ylKMrCVHi1BRvlph7Voh7tzhVridMkWbxxEEUXQyMxkEBua/0lmmjBlKpZNLj48aNSr7/45k/CAIW365qcK1VK5Qmd0iEIJClCJWKoHz57lW7dat3UsEEUWnZZiIK6jj9Rhd23nnL1OGRY8eBvzxh8XVY+lSkdsIarMZ2LVLgAULxDhzJvfuumxZM8aO1WHoUD38/IDp51Sc79uWE5e4cG1dVoxKCn52QQ+dCdhwR40xdTy/7nvdumbs2aNCjx5yPHxo+TsfOSJAt25ZVRVLlfKsaMWbSgNmXczA9jgpTGxGrvuVkfEwLFKOoRFyhMsKttKoVmf5m1szaJABkZHkskcUL+XLm3HrFh+vvpr3Ssjt23yEhzv2PDqUh/r8+fO5fsfj8SCTyVCuXDnI5YWzOBLeS6LGhK9sAhH7VJUWesn3yBEBzGaLEK9Vy4QyZTxrwCLyxz7Thw4syzp1peydd/QcQf3330LcvctDtWolN7jr9cDvvwuxaJEYt2/nLlIiIkz44AMd+vY1ZKeLZFmWk6YOAHpWyT0Ptat4EZw4/Zx1cKIK79aWe8XKZ9WqZuzZk2WpvnnTcs8uXBCgUyc5tmxRoVw5z+ijLibp0XVPEjIMLICc781L4SKMqqlA50oSCB00iixZIubUD5BIWHz6KVmnieKnY0cDli8XYcgQPaS5LNqp1cCKFSK88opj7kcOCeoxY8Zkd3ysVW4g686Qx+Oha9eu+OSTTyiNHpFNzLl0pOstz4xCwGB608JXkaB0eb5Bg1JCSPkMNKasZ+e5xoy4DBOq+DuvJlWTJiY0amTE+fOWcy5bJsJ337l+gM/IAFauFOHHH8V49iz3/rNZMyPGjdOhY0ejnb/3xWQD4jIsA4GYD3Sq6B6OvAOry/DN+XS8KI56U2nEqQQ9Wjgpv3hJU7Ysi127VOjTR8YJtrt1i48OHRTYtk1VohO1gmBmWUw4ofxPTHORCxi8VV2GETXlqB1UONerlBQG8+dz7/e77+pQtqxnTDYIz2bMGD3WrROhRw85vvtOg6go7vt44UJWFpCnT3l47z3H0ns6pHjnzZsHkUiE7t2746effsLGjRuxZMkSvPnmm+Dz+fjwww8xfvx47Nu3D6tXr3aoIYT3cjpBh3Wx3Afzk4Z+KFPA5cGcsA1IJP9p70TEZ9AkhDtwH3diGXLAkkLPmt9+EyE9PZcDioGEBAYzZohRt64/pkyR5iqm27c3YNeuTOzdq0LnzvZiGgA221Qffb2cBP4i9zBuhMn46Ggj7lfeUuWyt2cSHMxi2zYVWrXi9kmPHvHQsaMcV664x73IjTW31TifxC2qEhEgwKzmAbjRLxxzowMLLaYB4PvvxUhPtxjhAgJYjB/v3HeaIHIjLIzFb7+p8fgxD23aKBAZ6Yf27eVo21aOiAg/tG0rR1wcD2vWqBAR4djk16E3e9WqVejRowc+++wzNGrUCJUqVULDhg3x8ccfo3///vj333/Rt29fjB49Gjt37nSoIYR3YjKzmHgyjbMtMkCAd2sX3m/ywQMG9+5ZxLhQyKJlSxLU3kp0ePEVeHlBjx4GhIZaOs+MDAbr1xd/Cr3793mYMEGCevX8MHeuhJMp4gV8Pou+ffU4diwDGzeq0bKlKddsNmaWxbY4rqDuXaVkgxFtGRrBdQncFqeBUufeVltH8fMDNm5UoXNnrjBNSOChc2cFTp50z6olqTozvjzHnUm2KWXEqZ6hGF1bUeSJ2aNHDJYt475XH32kRWBgkU5LEA7RtKkJx49n4JtvtKhXz4SMDAY6HYPGjU2YNUuL06cz8vWxzgmH3o7r168jOjo6x+8aN26Mq1evAgCqV6+O+Pj4HPcjfItVt9W4lMwdVGa1CHTY586aQ4e41ummTU1QeH5cE5ELLcO4A/AJJ1uogawUem+/zRXqy5aJUFyp9S9d4mH4cCkaN1bgl1/E0Ons3weZjMU77+hw4UIGli3ToE6d/BtzJkGPxyrLQCATMHijgnu4e7zgtbJiVFBYBKXWBPx+13MrJ+aGRAKsWqXGgAHc5yo9nUHPnnLs3+88tyVn8dX5dKRYTW5kAgYfVjE4zcf9228l0Ost5ypXzoxRozw7HznhmQQEAO++q8cff6hx4kQmjh7NxPr1aowcqYe/42UxADgoqEuXLo2zZ8/m+N3Zs2cRFBQEAFAqlVCQwvF5krUmTD/HtU73rCxF67JF85ckdw/fokmICHyr8fxuugnxaufnqn37bT2EQosf5927fBw44DzRw7JZVbp69pShdWs/bNki4gTWviAoyIxPPtHiypUMfPedFhUrFty3dLNNMOIb5SW55gEuKfg8BkNqcIMkV91WceJyvAWBAFi8WIMxY7iTQI2GQf/+MmzZ4rwUkEXlYpIev9zkut98VN8P4RLn3Jfr13lYv557vZ9+qs01MIwgipP09KwVE1t+/VUEpbJw53Sop+3duzfWrVuHOXPm4Pz587h//z7OnTuH2bNn47fffkPPnj0RHx+PlStXonHjxoVrEeE1TD+Xnl2UA8gKaPmqWeEDEYGsNGK2FmoKSPRuFEIeGpTiDsQnE5xv1QoPZ9GzJ3c1ZenSort9mEzAtm0CvPaaHN27K3DwYM4iqnx5M2bO1ODq1Qx89pnO4TRrJjOL7TbuHr2quqdaGVhDzpkkXU814myiIfcDPBgeD/jmGy2++IIb5GowMBgxQoqVK0teVJtZFhNPKmH9xFXz5+N/dZ1nGJs+XQKWtdz0yEgT+vf3zntOuDc7dghQr54/li/nGvcePmQwYYIE9ev7Y98+x40pDh0xaNAgaLVarF69Gn/88QeArGwfCoUC77zzDoYNG4Y///wTJpMJ7733nsONIbyH84l6rL7NXcad2MAP5eRF8x28fJmHlBTLPNDfn0XDhlRZy9tpGSbmBEode65D98rOF4vvvKPHxo0WEb1/vxCxsTzUqOG474dWC2zYIMTChWKOz78ttWtnpb7r3dsAYRG01fF4PeI1lnb6CRm0K+de7h4vKCvn440KEux6aBGZK2+r0DTUc0q/OwLDABMn6hAQwGLSJMtzy7IMxo+XQanUYPz4knN9+O2OGmdsJjTfNQ+EmO8cV48TJ/jYs4f7cE+dqoXA/bxeCC/n4kUeRoyQoXFjE7p35z7zFSuy2LlThZgYCQYOlOHQoUzUqlXwvt/hx3nkyJEYNGgQLl++DKVSidDQUEREREAmy1rC69SpE7p27eroaQkvIidrR3V/AcY6oYCDbbq8Vq2M1Cn7ANFhIiy+ZvlcHIGJANC4sQlNmhhx9iw3hd7s2QVPoZeWBvzyixg//STiVM6zJTraiPHjdWjf3phrkKEjbLVx9+hYUQKJwH3zOw+LkHME9ZZ7GnzTLAABbpKRpDgYPVqPwEAWY8ZIOWXjY2KkSE3lISZG65RnwRGUOjNiznIDETtXlOD18s6ZjLEsEBPDPVfz5kZ06kQri4Tr+f57CRo2NGHnTlWO2uGll0z46y8VXn1VgblzxVixIv8y5S8oVM8lkUjQrFkztG/fHlFRUdli+u7du+Dz3TN6mXAda2PVOJdkG4gYAJETrB22y+XkP+0bRNsEJl5NMSBNXzwRg7Yp9NavFyEtLZedrXj2jMHUqRLUreuPL7+U5CqmO3Uy4O+/M7F7twpvvOEcMW3Myd3DzbJ72NK2nBjlrVasNCYWm7wwONGWvn0NWLtWDYmNb/KCBWKMHy+FycULbt9cSEeS1vIuSfjAN0V0zbNm1y4BTp3iKpdp01w/cSAIIKvC8siR+jwNcSIRMHq0DqdPO2atc2jvtLQ0/PDDDzh37hwMBkN2EAnLstBoNFCpVDh58qRDDSC8i9QcrB1dK0nQxglLzxoN7NJNkf+0bxAs4aNmoAA3lVn3mwVwOkGPdk6yolnTvbsBkyebER+fJYgzMxn89psIr7+e8/537vCwcKEYGzYIORkMrBEKWfTpY8AHH+hQs6bzJwKHn+mQbJWdIUDEoE1Z93T3eAGfx2BQDRlmXrSUtV55W40RNb2jcmJedOxoxB9/qNC/vxwZGZZrXbUqa/K2bJkmu/JlcXIlxYAVNoGIH9b3QyU/5yz7GY3AjBnc5/CNNwxo2ZLc9IiSITmZQVhY/n1wlSpmJCY61g85XNjlzz//ROXKlSEUChEQEIB69eqBZVmo1Wp8/vnnDv044X18bZN2Scpn8LWTrB0nTwo46cUqVDCjalXvyl9L5I6tlbo40ucBWdaJ4cPzT6F37hwfgwfL0LSpAqtXi3IU0woFi/fe0+HixQz8+KOmWMQ0ALtS410rSZ2yIlTcDKohg3UGzaspBlxI8o1AtZdfNuHPPzNRqhT3mdi2TYT+/WVQFXO9G5ZlMemkEmYrQ3llPz7G1fVz2m+sXy/klGFnGBbTplGJcaLg6HTAuHFSVKrkj4gIPyxYkP9MMzWVQY0afli3zj4opUwZM+Li8pe+Dx/yEBLiWGC4Q4L65MmTGDlyJObOnYvevXsjLCwM33zzDTZu3IiqVavizp07Dv044V1cStbjF5uqZxPqK1BR4RxrR07p8rzckEVYER1W/AVeXmCbQu/+fT6OHw8AywL79wvQpYscbdsq8OefQk7mgheULm3G5MlaXL2ajq+/1qJcueJLCac3sfjzgWe5e7ygvEJgt8qw8rZ3VU7Mi6goM3bvVqFcOa6oPnBAiF695IVO31UQfr+rsXuHZjYPcJrfvUYDzJzJvbdvvWVA7dpkBCEKzpQpEpw+zcf27ZmYN0+DOXMk2Lw57+jtTz+VIDExZ3nbtq0Rv/6ad40BkwlYuVKEZs0cWwF3SFCnp6ejXr16AIBq1arhxo0bAAC5XI4BAwbg2LFjDv044T2YWRYTT6RxrB1V/Ph434nWDso/7dvYWqjPJeqhNRaPUA0NZdGrF9dS+uOP5fDKKwq8+aYcR4/mPEmsVMmMOXM0uHIlAx9/rHNJBbh/nmqRZpWespSYh1Zlipbr3ZUMi+DmpN58T4P0YvKPd0ciIszYvTsT1apx3SBOnRKgc2cF4uOdbzVI15sx9Sw3MOCN8mJ0qOC8idjy5SI8eWKRGGIxi88/J+s0UXBUKmD1ahG+/VaDqCgzOnc24oMPdFi+PHcr9b59Apw/z0fp0jn3IWPG6HHnDh9Dh8pyfLcSEhgMHy7DlSt8jBnjmNHGIUEdFBSEzMxMAECFChWQkpIC5X9T6JCQECQmJjr044T3sP6OGqcTuQ/fd80DnWbtSExkcOUKd+mwVSsS1L5EBYWAE8SmNwPnk4rPSm0bnBgbK8PVqzkHXderZ8LPP6tx7lwGRo7Uu7RYha27R/fKUgiKUInU1bQrL0FZmWUoUhlZbL5X8Mh6b6BiRRZ79qhQrx5XVF+7xkfHjnI8eODc+znzYjoSrFIsivnAzOaBTju/Ugl8/z13UjdypB4VKnhf8R6i+Lh6lQ+dDmjRwvJetGhhxPnzfBhzGP4zMoAPP5Ri/vzcYxCqVjVj2TI1Dh0SoF49P7RrJ8fIkVK8/bYUbdvKUaeOH/btE2DRIg0aN3bM198hQd2kSROsXLkSjx49QtmyZREYGIi//voLAHD06FEEusIcQ7gdOaVd6lhBgvZOLHl8+DDXIli/vtnhwheE52Nfhrz4BHWjRqZ8l/xatTJiyxYVDh/ORO/eBpencNQYWex6wLX69fQQd48XCHgMBtaQc7b5ktvHC0JCWOzcmYnoaO4zd+8eHx06KHDzpnPSCV5PNWDpde7f94O6fqji77yHd/58MZRKbr2Ajz4qnpgHwnt5/pxBUBALiZWUCA1lodczSEqyn2ROmybB668b8NJLeQvhTp2MOHIky/iRlsZg924hDhwQQqtlMGaMHidPZqBfP8djORilUllgVfL06VOMGTMGoaGhWL58OTZs2IB58+ZBJpNBo9FgxIgRGDVqlMONcBaxsbEl9ttE8TJjRiXs2BGS/XnIkGd4//0nJdgiwhf4++8gfPFFNc42hmHx2mupGDLkOerU8f40b4Rr0Wp5+OSTajh+nBvMHRBgxIIFt93+mUtIEKJXr3rQ6SyCeuzYx3j77ecl2CrC3alRo4bdtg0bhPjySwlu3LBkAoqLYxAV5Y9Ll9JRqZJFvh49ysfo0TKcOJGBgACgdm0/fPGFFgMHui7I2aEpadmyZbFx40Y8ePAAAPDWW28hMDAQly9fRp06ddC5c+diaWRByemGFBexsbEu/T13wvrar6YY0GpHAsd3+pMoP3zW0N9pv8eywPnzXF/s3r39SuTvT/e9ZK/9ltKA5lsTsj/7CRnEDSgDfjG5OFStChw+bMDevUIIhWYMGGDE++/rUL06H0C5YvlNR3j7YAq2WuWffqeWHN+1CHT677ji3vf5Own7nlismG9HyjCvZVCx/mZBKInnftu2LF/PzZstKzJpaQL873+18NtvKrRqVbi0c5vvqTHiUCpn25o2wehaKfdVDUevf9EiKUdMh4eb8cUXfpDLnRdP4yrcoc8rKdzh2iUSFjqbhY0Xmb5kVqEXGg3wwQdSfPedBgHOS6HuMA6tIY0cORJnzpxBRERE9rYOHTpg0qRJJS6mCdfD/lcR0VpMV1LwMb6eczvOO3d4ePzY8qhKJCyaN6c8pr5IRIAApcSWZyHDwOJKSvFZIPh8YMMGNc6ezcC+fRexYIEG1au7R8CcymDG3sdcdw9Pye6RE0MjuW4fm+5qkGlwj7+1qxGJsnJRDx/OVROZmQz69JHjr78cd8/IMJgx+Qw3ELFtOTG6VHSea97t2zysXcvNwPDJJzrI5bkcQBB5UKYMC6WSgd7Ksy8+noFYzCIoyCI8zp3j4949Pt59V4Zy5fxRrpw/nj1jMGGCFB9+6Lp8/A4J6jt37kDkimzzhEew6Z592qVvmwdA6uRyx7blxqOjjRyfKsJ3YBgGLVzoR531m0D16mbI5e4l7vY80kJtleWkvJyPpqGe2z+/UUGCcKllSMo0snYBl74Enw/MnavFRx9xJ006HYMhQ2RYvz7v1GG2zL6YgWdqyzMs5AHfNQ9wahGd6dMlMJst56tWzYRBg4r3/SS8l3r1TBCJgFOnLMHgJ08KEBVl4sSrNG5swvnzGThyJDP7X2hoVlaZzz93ne++Q4L6lVdewZYtW6DR+G4nR2SRrjdjio21o105MTo6MRDxBZQuj7DGVQVe3B1bsdmzihQ8D07MLuQxGGQbnHjL94ITrWEYYMoUHWbM4N5rk4nBmDEy/PRTwSZQt5QG/Hgtk7Pt/boKVA9wTJTnxZkzfOzcyT3f1KlaCJ33E4SPIZMB/fvr8fHHUpw7x8euXQIsXizOzsAUH89AowGk0qzsHdb/+HygdGnW4eIsRcGhdSM+n49//vkHr7/+OsLDw1GqVCnO9wzDYOnSpU5tIOGefHcxA/FWaZdEPOC7FoFOLxlsNMIu5y+VG/dtWuZQ4IVlWa8vV21Nmt6M/U+8x93jBYMiZJhz2RKAdD7JgEvJejQo5bmWd2fw/vt6BASwGD9eyrEAf/aZFEolg08/1eVa5IplWXxyKg3WKdvLyfj4qL7zXPNYNivDgjWNGhnRrRv11UTR+PprLSZMkKJbNzn8/FhMnKjNrhEQGemPH35QuzTwMC8cEtTx8fGoX79+cbWF8BDuqhgsuc61dnxQ1w9VnZh26QXnzvGRnm4ZKUqXNqNuXfdaeidcS/1SQsgFDFT/KYRErRl3041Otba5O7seaqGzCiOo7MdHVCnPv/7KfgK0KSvGP08tqw6rb6sxN9q3BTUADBliQEAAi5EjZTAYLH3id99JkJrKYOZMLXg5rDnveKDFv0+5qzhfNwuAXOicNHxAVjGN48e5/X9MjJYq2RJFRiYDlizRYMkSe88IpTIthyOyuH49I8fthw7lXEsgN1q3Lni8Vr4KaOvWrWjdujWCg4Px008/OdSQnNDr9ZgzZw4OHDgAoVCIAQMGYMiQIXkek5aWhn79+uF///sfunTpUuQ2EIWHZVnMvieCycraUV7Ox4QGimL5PVv/6datjTkOGoTvIOAxaBoq4oiE4/F6nxLUW+9zU6f1qiL1Ggv90Eg5R1BvuqvG9Cb+ThWAnkr37kb4+6sxcKAMarXlfi9bJkZaGoPFizUcFwuVwYwvTnNFR+syYnSv7DzXPJMJiInhnq9tW0OhM5EQRHHSo4ccDJO1qpIbL75nGCAlJT33HW3IV1B/9913qFatGoKDgwFkCaqffvoJffv2RenSpQv8Qy9YuHAhLl++jMWLFyMhIQExMTEIDw9H+/btcz3m+++/R0pKisO/RTifrfc1OJfGneF93SwAMkHxDHa2gprcPQggy4/aWlCfiNdjSIRvpBJI1ZnxzxOuxbFXFVkue3senSpKECrlZVfySzew2BqnsfOv9lVee82IbdtU6NNHjrQ0i6j+/XcR0tMZ/PqrOjtoe+7lDDxWWYStgAFmtXBuIOKmTUJcv84dE6ZNoxLjhHvy55/FF5eRr6BmbWS82WzG6tWr0aZNG4cFtUajwfbt2zF37lzUqlULtWrVwqBBg7Bp06ZcBfXx48dx/fp1BAWVfD5SXyczh7RLr5UVo1ul4km5kZGRFehiDQlqAgCiw8QALEt6vhSY+OcDDccfNiJAgDpBLi7RWIwIeQwGVpdh3hWLW9mqWyoS1FY0a2bCrl2Z6NVLjvh4izFj924h+vSR47ffVIg3G7DoKtc1b0wdBSIDnbeSo9MBX3/N7f/79NGjfn1yyyPck5dfLr6Vk0L1wrYiu6DExsZCr9ejQYMG2duioqLwyy+/wGg0QmBTt1elUmHmzJmIiYnB1KlTC/WbhPOYfTEDT23SLjnb2mHN0aMCGI2Wc1evbkKFClRunACahAgh5AEv0hTHZZjwVGVCWblj/nGeSE7ZPbzF3eMFQyLkHEF9JtGAqykG1A32Hbee/KhTx4zdu1Xo0UOOhw8tovrIEUFWANd7j2CdxruMjIdJUc6tEfDzzyI8emT5baGQxRdfkHWacF/WrHGsDxk8uOABjy41ayQlJcHf3x9isSVKPzg4GAaDAUql0s7ivWjRIkRHR6NRo0aubCaRAwefaLHIJu3Se3UUqFGMfqu27h6ULo94gUzAQ8NSIpxOtOS4PRGvQ++q3uP6kBOJGhMOP7N19/D87B62VPEXoHUZMQ5ZXeuq2yrMLoYqkJ5M1apm7NmTZam+edMymbxwQQB8URZ49wEQmNVvzmgaAD8n+qGnpQFz5nAz7rz9th6VK5PRg3BfPvig4P0lw7ixoNZqtXaFYV581uu5yd/Pnz+Po0ePYsOGDQU+f2xsbNEb6QCu/r2S4omWwbCLEphZixUsVGRGT0UCYmMT8jiyaPz9dx3O58jIR4iNVRbb7xUUX7nvOeFO115TJMRpWCZ0u28noL6peNMnlfT1//FMADNr6UNryMzgJcYhNrH4f9vV1/6GPx+HnlkE2/rbmRgSmAhJCSxClPR9z49Fi/gYP74Grl2zCg6PFwMLKwNjHqJRNQ3qG5+gsJeR0/X/9FNZpKRY6jzLZCb07n0DsbHeZfhw93tfnLjy2l1V5vzSpZyzfziDQgvqwiwxikQiO+H84rPEqvSdVqvF119/jY8++ggKRcGzR7iy7rw71Ll3BWqjGW//lYQ0o0WoMGDx06shaFCu+MoVPnnC4P59y0ySz2fRp08IAgJCiu03C4Kv3PeccLdr7yTRYPUTS7Dyda0UNWpULrbfc4frPxKbCMDSh75VMxA1ajh3GT8nSuLaK1Vl8f2D50jSZvktZJoYXBWUQ//qrl2FcIf7XhD27DFh4EAjDh+2GtZTRcCiyhi3IQMREYWzTud0/fHxDDZs4D53H3xgQPPmVQr1G+6Kp9z74sBbr71ixeJbQSmQoJ40aRKENuWOxo8fb+fzzDAMduzYket5QkNDkZGRAYPBkH2+5ORkiEQi+Pv7Z+93/fp1PHr0CDExMYiJiQGQJbJnzpyJK1eu4LPPPivQxRFFg2VZjDumxNUUrtVvTCUD2hajmAaAQ4e4z1bjxiYEBOSyM+GTtAgVgwHwonu8kWqEUmdGoNg706s9U5vsyqx7o7vHC0R8BgOqy7DwKjc40dWC2lPw8wNmrUhDyzeFMF+2jKfIEOD9/oEI26hCixbOCciaNUvMSdsXEmLGe+/5TmAw4T2cOsXH0aMC6HSWVHosC6hUDE6c4OPffwueFSRfQd25c+dCN9SWiIgICIVCXL58GY0bNwYAXLp0CTVr1uSI89q1a2Pz5s2cY0ePHo3+/ftTHmoX8tN1FTbd4wZAdaskwbDy6lyOcB6ULo/Ij0AxD7WCBLiemvVssABOJujQoYJ3isxt9zWwtq00LC1ElWIopuRODIngCuqTCXrcSDWgVhAFJ+bEtMtpMA/RAhvLAqcDs7enpzPo2VOONWvUeP31ovWld+/ysGoV13Vz4kQd/Ip/oYQgnMqyZSJ8+qkkx5zUPB4cflfy7Y2dmV1DIpGgU6dOmDVrFqZOnYrk5GSsXbsWn3/+OYCsoEWFQgGJRIIKFSpwjuXz+QgODs7Oh00UL4ef6TDFJkVezUABfnglCM/jijcnOMtSQCJRMFqGibMFNQCceK73WkG9xbaYS2XvvE5rqgcI8Uq4CEeeWyzzq26rMLN5YMk1yk3Z80iDvY+0AB9Av6eAxAQcLpX9vUbDoH9/GZYu1WSXbi4MX30l5mRfqlzZhGHD9HkcQRDuyYoVIrRpY8Ty5RosWCBCWhqDb77R4u+/BRg7VobevR17T1y+Nvrhhx+iVq1aGDt2LGbOnImRI0eiXbt2AIBOnTph//79rm4SYcOjTCPePpjCqYboL2Swtk2wU6PEc+PaNR4SEiy/o1CwaNKEqm4R9kSHcS1lti4R3sLDTCPOJHI79x5e7O5hzdBIbv7pDXfU0Bgpk4Q1WiOLT09ZGUB4QPPRqfjiC+4Ko8HAYMQIKVauLJyF/8IFPrZu5b5zkyfrIKLK8IQH8uABDyNG6BEUxKJhQxNOnBBAKs2qSPrBBzosW+bYg+3y9UKJRMLxjbbm9OnTuR63c+fOYmwV8QKNkcXgf1KQrOMm5l/WOshlpZ1trdMvvWSEkFZ4iRzIKvBi4UKyHhojC6nAu/Iyb7PJPd08VIQKCu9293hBl4pSBIvTkPJfn6TUs9jxQIN+1ciX+gULr2YgLsNidOAxwJyWgajXRY+AAGDSJMvki2UZjB8vg1Kpwfjxjk1AbUuM169vKpK1myBKEpEIkEqzJufVqplx9y4PBgMgFAItWhjx00+OCWrvjN4hCgXLsphwQomLydwO8rOGfi5dRid3D6KglJXzUUlhyaNmMANnE73PSp1TMRdfQSJg7AIRV90qvvLBnsaDDCO+v8xNBTaiphz1/iuCM3q0HsuWqcHnc636MTFSTJuWs/9oThw8KLALFo+J0YJHKoLwUOrVM+Gvv7Lek+rVsybsZ89mjSdPnjj+YNOrQGSz4qYK6+9w/TQ7VpBgYgPXRZvodMCxYySoiYJj7/bhXdkG7qUbOZNcBkB3H/CftmZoBFdQH4/X47aSLKMA8PnpNGitPOJKS3j4oqE/Z5++fQ1Yu1YNiYSrnhcsEGP8eClM+XjUmc3AtGlc63Tr1kbqmwmPZuxYHVasEGH0aCkkEqBLFwNGjZLhk08kmDpVguhox1xNSVATALJEyGenuEGI1f0FWNIqCDwXljU+dYoPjcbye2XKmBERYc7jCMLXaRnOdfs47mV+1LbW6ZfCRSgj8/4S69ZEBArR0mbitOp28Wcbcnf2P9bir4fcUt/TGvvnmDqyY0cj/vhDBT8/rqhetUqEESOk0Ofx2mzdKsTly9xnLiZGCy+reE/4GF26GPH772rUqZMlnL//XosaNUxYs0aEWrXMmD1bk88ZuJCgJvBUZcLQgymwjvNRCBisaxuMAJFrHxHbJcVXXzVSp03kia3QOpOgh9HsPUFrdtk9qvim7/Awm+DE9XfU0PpwcKLOxOKTU0rOtiYhQgyskfvz8fLLJvz5ZyZKleIaKbZtE6F/fxlUOXjSGAwMZszgTlp79tSjYUMKFCc8m2XLRIiIMGHcuKzZZFAQi61b1Xj6NB1//qlC+fKO9S8kqH0cnYnF0IPJSNBwO9ifWgUhMtD1kYAHD5K7B+EY1fwFCJFYujKVkcXlZO9wB7ipNHDSAvIZoFvl4i2q5K50qyRFoMgyu07RmbHzoWMWJG/ih2uZuJtuEbUMgDktAvNdUYyKMmP3bhXKleP2+QcOCNGrlxxKJXf/rVtLIy7OYp0WCFhMnuxdblWEbxITI7FbeSkKJKh9nE9OKu3ScX1c3w9dK7neRzM1lcGFC9yHmwq6EPnBMIydH/VxL/GjtnX3aFVGjNIS33L3eIFEwOAtm+DElT4anPgo04g5l7iBiG9HyhFVumBZCSIizNi9OxPVqnGtzKdOCdC5swLx8VmiPDMT+Pnnspx9hg7Vo1o1csMjPJ/Klc1ITHSeDPaNvEtEjqy6pcJKGz/EduXE+KxhyZS8OnyYD5a1WFdq1zYhNNR3l3SJghMdJsaOBxZf0hPxevyvbgk2yAmwLIutNoLam0uNF4ShEXIsuW4R0Uef63EnzeCylJ7uwuQzaVBbubsEiRlMbuRYv12xIos9e1To1UuOK1csk7Rr1/jo2FGOrVtV2LBBhJQUy99WJmMxaZJ3TFYJYuhQPSZPluDECT5q1TIjNNR+ojh4cMFXO0lQ+yhnEvSYeFLJ2VbFj4/lrYPB55WM0zKlyyMKi62F+mS8HizLgvFgB/yrqUbEplneASEPJbJy5E7UChKiRagIJxMsEXSrb6sxvWlACbbKtfz7VIvtcbaBiAEILsTKRUgIi507M/HWW3KcOGHpf+/d46NDBwUyMrjvz9ixOoSFkZGD8A4+/TTLfW7z5pwn5AxDgprIh3i1CUMOJkNvNRmTCRisbVMqx+hwV0H+00RhqRcshJ+QQYYha7BP1plxO81YInEAzmLLPe7qUZuy4hJ9P92FoZFyjqBeF6vGF438IeZ77uSpoOhNLCad5GZjalhaiMF5BCLmR0AAsHmzCkOHyrBvn+V9efaM+6wFB5vxwQdknSa8h0s2blNFhXpnH0NvYjHs3xQ8U3OXNn54ORB1gktOfMTFMZzAF5GIRXQ0CWqiYPB5DJqFek8ZcpZl7fyne1X1zewetvSoLEWAVXBiss6MXT4SnLjkeiZup3H7xTktAou8qiiTAevWqdG7d+7vzMcf6+Dvn+vXBOFxVKzI5vvPEUhQ+xhfnEmzExof1FWgZwmn4jp4kCvmmzUzQS7PZWeCyAHbMuSeHJh4IcmAB5mWgDExP6vIEgFIBQz6VrMNTvT+nNRPVSZ8d5FrURtcQ4bGIY6VR84NkQhYtkyD4cPt35sKFcwYMcJzJ6gEkRtPnzKYMEGCqCgFwsP9cfEiD5MnS/DHH44bGElQ+xDrYlVYfoMbFf9qWTGmNi55swP5TxNFxb5ioucKgM021ul25STwd3FOeHdmWAR3tn3omQ730r27z5h6Ng0qq0DEABGDaU2c23fz+cDcuVp89BHXR3v6dC3E4lwOIggP5c4dHl55RYEdO4Ro0sSUXdwoMZHB6NFS7NjhmFc09dA+woUkPSacUHK2VVTw8UvrIAhKKAjxBSYTcOgQN6CGBDXhKI1Li2CtOR9lmvAo0/OeIzPLYhtl98iTOsFCNA3hWpBW3/beFHpHnunwxz3uMzGlkX+xpFBkGGDKFB02bFBh6FA9vv32Lnr29I687gRhzRdfSFCuHIsLFzKwZIkG7H/z1aVLNeja1YiFCx2bRZKg9gGStCYM/icFOquUoxI+sKZNcKEiw53NpUt8KJWWRzEw0IwGDagKF+EYEgFjt/ztiVbq0wl6PFFbnn+ZgMEb5O5hx1CbyonrYtXQm7wvA4XBzGKSTUamesFCvB1ZvD5xHToYsWCBBq+/nlqsv0MQJcWxYwJ8+KEOfn6wq8g8eLAet245po9IUHs5RjOLYQdT8FjFFagLXgpCg1LO8b0rKrbZPVq1MoFf8jqf8EDs3T48z4/a1t2jQwUJ5ELqqm3pWVkKf6FlFEzUmrH7kTaPIzyTZTdUuKG0DUQMKLH0pgThLfB4AMPkPAlXqexFdr7nc0KbCDdm6tk0HH3OtdKNqS1Hv2rukzGA/KcJZ2EbmOhpFmqTmcWOOK6g7knuHjkiF/LsghNXeVnlxHi1CTMvpHO29a8uQ/MwcmgmiKISHW3E3LkSpFllomSYLDfUFSvEaNnSMS1CgtqL2XRXjR+vcQeYl8JFblUEQa0GTp2y9Z8mfz2icDQLFcHaqHBTaUSK1nPch47F6xGvsaS09BMyaFeO3D1yY0gEV1D/81SHuAzvmZBPPZuWnVsdAPxFDL50ciAiQfgq06dr8fAhD40b+2HECCkYBliwQIxXXlHg4kU+Jk92bMWLBLWXcjlZjw+OKTnbysn4WPlqMIRutFR4/LgAer2lPZUqmVG5svf5QRKuIUDEQ12bfOqeZKXeep+b/q1TRQkkAvd5X92N+qVEaFSae7/XeElw4ol4HX6/y12t+LyhP0Kl5A9HEM4gMtKMgwcz0aaNESdPCsDnA4cPCxARYcLff2eibl37UuR5QZUSvZAUrQmD/kmBxipAR/xfEGKIm3XG9u4eZJ0mikZ0mAhXUizP0Yl4PTp7QMlug5m1Kyndq4Tzw3sCwyLlOJ+kzP68NlaNTxv6u5XhwFGMZhYf22Rlqh0kwMialJyfIJxFZiZQtaoZy5Y5pzAUWai9DJOZxYhDqXiYyV3mnhsdiEZOKgDgTKjcOOFsWtr5UXtGYOLhZzqk6CwWkUARg9fKkq9sfvSqIoXCyoofrzFjr4cHJ/5yU4Vrqdy+cHaLwBJPcUoQ3kREhD9Gj5bin38E2SnzigIJai9jxvl0HHzKFRAja8oxqIb7WTYSEhhcu2axmDMMi1atPMfflXBPbDN9XEo2QGVwbOmuJLAtNd61khQiPgmo/FAIeehTjbsC4cnBiYkaE76yCUTsW1WKl8JpckUQzmTcOB0uXeKjd28Zatf2w9SpEly9WnhZTILai9h2X4P5VzI521qEivBNM/cJQrTG1t0jKsqEoCDynyaKRpiMj6p+lomakQXOJrq3H7XOxOLPB1TMpbAMtamcuP+JDg89sKgPAMScS0e63tIPKgSMWwWSE4S38MknOpw6lYmDBzPRq5cBmzcL0aqVAi+/rMAPP4iQkOCYQYMEtZdwPdWA945yE/CHS3lY9Vqw21q5KF0eUVy0tLHmHXPzwMR/nmg5Iqq0hIdXypBFsqBElRahQSlLcCILYM1tde4HuCmnE3RYF8tt9ycN/RAuc6/YF4LwJqKizPj6ay2uXs3A9u0qREWZEBMjQd26fg6dhwS1F6DUmTHwQDJURsuALOQBq9sEI8xNO2KWtRfUr75KgppwDnYFXp67tx/1Vht3j+6VpeQv6yDDbKzUa2NVMJo9Z8XLZGYx8WQaZ1vNQAHera0ooRYRhO+g0wE7dgjw888ibNsmhFAIdOvmWJIEEtQejpllMfpwCu5ncH2PZ7cIRLNQ97Vw3b7Nw9OnlsdPKmXRvDn5TxPOwTYw8WyiwW3LUmuMLHY95AbRUTEXx+ldVQq5VXDiM7UZfz/2nODEVbfVuJTMHcBntQj06GwlBOHOmM3AgQMCjBkjRY0a/nj7bRkSEnj45hsNbt1Kx4oVjmX/oLR5Hs63FzLw92Ou9W1IhAzDIt0vCNEa2+weLVsaIXZf/U94GJX9+AiX8vD8vyIpGhOLS8kGNA11v0w3fz/WItNqdSlcykO0G7bT3fEX8dC7qhSrrVw9Vt1Wo1NF95+cJGtNmH6Oa53uVUWKVuT2QxDFRkSEH1JSGFSubMZ77+nw1lt6VKpUeMMLWag9mJ0PNJh9KYOzrUmIELNbBJZMgxyA3D2I4oRhmBzKkLun20dO7h58skoWClu3j32PtXjsAcGJ08+lQ2nlQy8XMJhBgYgEUax07WrA7t0qnD+fiU8+0RVJTAMkqD2W20oDxhzhBiGGSnlY/VopiN00CPEFBgNw7BgFJBLFi60f9XE3DEzMNNjnTO5d1f0tqu5Kw9JC1LOqlGlmswq9uDPnE/UcqzoATGzgh3Jy94x/IQhvYd48LSIjTbhyhYfLl3lITS2adiJB7YGk680Y+E8KMgyW2ZSAAVa+GoyyHtAJnz3LR0aG5cENCTGjdm33zxNMeBbRNpk+TsbrYHZG9n4nsueRllPRtLycj6ZuWIDJU2AYBsMiudUl19xWw+SmwYlmlsXEk0pYt65GgABj61AgIkEUJ4cP89G5sxzVqvmjdWsFXn1VgWrV/NCpk9zOJbWgkKD2MMwsi3ePpCI2jWvR/aZZgF2qMHfF9mF99VUjePQkEk6mdqAA/iLLxE2pZ3FT6V4rIbbFXHpWkYJh3HuFyd15s6oMMqvgxCdqE/Y/cU93n7WxapxL4gYiftc8wG1TnRKEN7BsmQg9esjx4AEPo0bpMXOmFnPnavHee3o8e8bgzTdl+PFHxw0bFJToYcy5lGGXEaB/dRlG1XLvIERrDh0i/2mi+OHzGLQIFXGCdk/E61A7SJjHUa4jTW/GfpssFL0pu0eRCRDx0LOKlJPPeeUtFd6oICnBVtmTqjMj5iy3ImLXShK0Kede7SQIb+LiRR4+/1yC4cP1+OYbLUQ2uvnLL4HPP5dg2jQJWrY0Iiqq4KvnZBf0IPY+0uLbC9wgxKhSQnwfHegxVq20tCyXD2tIUBPFhX1govv4Uf/1QAO9VV9dxY/PKU5CFB7b4MS/H2vxVOVeaTm/Pp+OFJ3lAZDyGbetaksQ3sJPP4nRtKkJc+bYi2kA4PGAmTO1aNHChKVLHVv1J0HtIdxNM2LU4RSOr10pMQ9r2gRDKvAMMQ0AR48KYDJZ2hsRYUK5cu7p30h4Pi1tAxOf68C6iR+1bXaPXuTu4TSahAhRO8iyEmZigXWxqhJsEZdLyXr8covbno8a+KGCghaNCaI4OXFCgMGD8zesDBqkx9Gjjr2PJKg9gEyDGQP/SeaUJuYzwK+vBXtcB0zp8ghX0rC0CBKrBZGnajMeZJa8pTJFa8LBp1y/3p5VZLnsTTgKwzB2VurVse4RnGhmWUw8kQbrplT14+P9uhSISBDFTXw8g/Ll83fjKFvWjKQkxwwcJKjdHJZl8d7RVLtgqulNAzwy6b+toKZ0eURxIuIzaGyTNcMd3D52PtTCqpYLIgMEqBPkWZNjd6dvNRlnMvUo034SUxKsv6PG6UTuMzizeaDbpzslCG8gOJjlVGnOjWfPeAgJcWwCToLazVlwJRPb47iBS32qSjG2tucEIb7g8WMGsbGWEY7PZ/HyyySoieLFHQu8bL5H2T2Km0AxDz0qc4M8V94qWbcPZQ6BiB0rSNDezQImCcJd0OmAceOkqFTJHxERfliwIPfsG1u2CBEdrUDZsv546SUFdu+2N1K0aGHEunX5Z/BYt06EFi0c0yckqN2Yf55oMf08t/OtGyzEgpc8JwjRGtt0eU2bmuDnV0KNIXwGWz/qkrZQJ2hMOPKcK+p7UXaPYmFYJNfwsPuRFs/VJefy8+2FdCRqLcvNEj7wbXMKRCSI3JgyRYLTp/nYvj0T8+ZpMGeOBJs32wdvHz/OxzvvSPHuuzocPZqJwYP1GDxYhkuXuDJ37Fg9jh3j46uvcl/hnzJFguPH+RgzxrGxgtYY3ZS4DCOG/5vC8bMLEjNY2yYYMoFnzoPIf5ooCZqGisBjkP0uxaYZkagxIURaMkWQdsRpOO913WAhIgIpu0dx0DxUhJqBgmyXORML/HZHjQn1XT+Tv5piwPKbXAv5+Hp+qOxHwzBB5IRKBaxeLcKGDSpERZkRFWXGBx/osHy5CL17c/O3r18vQrduBgwdmrX93Xf12LtXgK1bhWjQwGLAaNrUhC+/1GLqVAl27BCiQwcjKlc2QyBg8fAhDzt2CHH3Lg9ff61Fw4aOTb7pTS4kmZk8pKcD/v7OP7fKYMbAA8lQWgUh8hjg59bBHtv5ms32+afJf5pwBX5CHuoHC3Ex2dIBn4jXo1vlkrEKb84huwdRPDAMg6ERcnx2Oi1726pbKoyvpwDPhat87H8VEa0nUpUUfIyrR0t0BJEbV6/yodMBLVpYhG2LFkbMni2G0QgIrCTF6NE6CG3sEgwDaLX27/n77+sRGWnGd9+JsXixCNaJn5o3N2H2bBVat3Z8JcszTZ0ljEYDTJhQA127KhyOAs0PlmUx7rgS11K5YnNqI3+PTvh/9SoPSUmWx83Pj0XjxiWfbYHwDaLt3D5Kxo/6qcqEkzYuJySoi5e3qssgtlqMeJBpwiEXByduvKexczX6tnmAR6U8JQhX8/w5g6AgFhIr6RMaykKvZ+y0V716ZtSsaXGnunGDh0OHBGjZMmfDXfv2Rhw4oMKdOxk4eDAT//yT9f89ewonpgGAUSqVJZ9HyEnExsYW+28YjQwmTqyGo0cDAQCVKmmwePFthIcb8j7Qx1mzJgwLF1bI/tyqVSrmzr1bgi0iCIIgCMIdqFGjht22DRuE+PJLCW7csBS0i4tjEBXlj0uX0lGpUs7yNTGRQYcOcpQpw2LHDhV4LjIdu9x/QK/XY86cOThw4ACEQiEGDBiAIUOG5Ljvvn378PPPP+Pp06coX748xowZg1deeSXXc+d0Q5zNrFliHD1qmS49eCDFmDH1sG2bCtWrF7xEZU4ceqpDr7+TYLJ6RmoFCrCvSwgUQvdZTIiNjXX4b33lCjfHbpcuEpfcL2dTmGv3Fjz52pO0JlRf/zz7M48BHgwsAz8H3itnXH+7nQk4k2iZfM9o6o/367r/sr8n33sAOPZch867k7I/Cxjger9whBbAj76o1/7F6TT8cC0z+7OIB5zsGYaq/p7hvufp974o0LWX7LVLJCx0NotJOl2WZVqWS9r+J08Y9OolB58PrF6tdpmYBkrA5WPhwoW4fPkyFi9ejM8++wy//vor/v77b7v9Lly4gGnTpuGtt97CunXr0L17d0yaNAm3bt1ydZM5jB2rw6uvcq3Rjx/z0KGD3C6a1BEeZWYFIVqLaX8Rg7VtSrmVmC4MWm1WdSJryH+acCWlJXxEBFieQTMLnE5wbbaPBxlGjpgGgJ4l5Mfta7QME6GG1f03ssBvsepi/90bqQYsuZ7J2fZBXT+PEdMEUZKUKcNCqWSgt+qq4+MZiMUsgoLsrdNxcQw6dlSAYYCdO1UIDnatA4ZLlZpGo8H27dsxYcIE1KpVC61bt8agQYOwadMmu33/+usvtGnTBj169ECFChXQr18/NGnSBPv27XNlk+1QKIDff1fjtddSOduTknjo2lWB48cdzxygMbIY/E8KknUWCzcDYHmrYFQL8PyO99QpPicwoHx5c5Gt+QThKHZ+1M9dK6i3xXGDEZuHilDewyqdeipZwYlck9bq2yqYi7EM/YtARGsjSXk5HxMaUEVEgigI9eqZIBJlaYgXnDwpQFSUiROQCACpqQx69JDD35/FX3+pEBrqem9mlwrq2NhY6PV6NGjQIHtbVFQUrl+/DqORa7Hs27cvhg8fbncOvb7kq5yJxcA339zFwIHctqSnZy01/P13wQdJlmXx4fFUTgYCAPisoR/e8JJk/7b5p1u3NsID02gTHo5tgZfjLg5M3ELZPUqU/tVlEFmNePcyTDjyrPjGk633NThqM2n7plmAx6Y9JQhXI5MB/fvr8fHHUpw7x8euXQIsXizGO+9kvVfx8Qw0/3WrM2aIkZLCw48/qmE0Zn0XH88gLS2PH3AyLn2zk5KS4O/vD7HYMrAFBwfDYDBAqVRy9o2IiEDVqlWzP9+9exdnz55Fw4YNXdXcPBEIgMWLNXjvPe6grNUyGDBAlmPi8ZxYfkOFDXe5A22nihJ83MD9/SoLCpUbJ9wBWwv1uSQ9dCbXWDHuphlxyWrSzADoTu4eLqWUhG+XKnHV7eKpnJhpMGPyGe5I3qasGF0reYeRhCBcxYt80N26yTFhghQTJ2rRq1dWXxoZ6Y8tW7K01rZtQqSnM2jVyg+Rkf7Z/yZOdF0/69IsH7t27cIPP/yAv/76K3vbkydP0LNnT2zbtg1ly5bN8biUlBSMGjUKoaGh+OGHH8DLxcvcFVk+bGFZ4Ndfy+Cnn8pxtjMMi08+eYjevRNzPfZCGg9jrophYi3m2kpSM1Y20MJbVoKVSj7at48Ca3WNe/deRHAwiWrCtbAs0OWMBAl6S/+xor4WDfyL3/3o54cCLHloEfSNA0xYUq/kS6D7GueUPLx71SJqBQyLXc00CHJyXZ1F94VY/cRyUgHDYn1DLSrLvCapFkE4lZIOgHQGLpVtIpHIzmXjxWeJJOeZe3x8PD744APw+Xx8++23uYppwLU3xDoC9ttvgWrVNJg4UZItHFmWwcyZlSASheHDD3V2Lg5PVCZ8cTYBJtYymPsJGWzqEO72VdMcif7dulXIEdN165rQvHmV4mpaseMOkc8lhTdce6tnKfjjnmVF6JEwFG/WKNhqUFGu//DVeACWSeTA2qVQo4Y89wPcDG+49wBQnWUx+2E87qZn5Zk1sgxOmcLxfu3cnwFHr/220oDfjiVwtv2vrh/aNShfuEaXMN5y7wsDXbtvXnthcanLR2hoKDIyMmAwWJY+k5OTIRKJ4J9DycEnT55g9OjRAICffvoJgYGBrmqqw4wcqceyZRoIBFwLxPTpEkybJuFU4tGZWAw9mIxELdcy9tMrQW4vph3F1n+a3D2IkqQkCrzcSDXgutLy3PMZoFtlWvovCV5UTrRm1W01WCcFJ7Isi0mn0mC0Ol05Gd+rXPgIgsgZlwrqiIgICIVCXL58OXvbpUuXULNmTQhsQjbT0tLwv//9DwqFAkuXLkWpUqVc2dRC0aePAevWqSGRcDvnhQvF+OADKUz/Fd+ZdFKJszbpsyY28EOXSt7lU8myJKgJ98I2MPFkgh4mc/Euw9sGI7YuI0ZpiePZgAjn0L+6DNaZSO+kG3Es3jnBiTseaPGvTRXGr5r5e3zqU4Ig8selb7lEIkGnTp0wa9YsXLt2DYcPH8batWvRr18/AFlBi1qtFkCWRVqpVGLatGkwGo1ISkpCUlISMjMz8/qJEueNN4zYvFkFf3/uIL1mjQjDh8uw4ooKq25z85+2Ly/GZw29z4Jx/z4Pjx5ZHjGxmEV0NAlqouSoGShAoMjigpSuZznWY2fDsiy22gjqnpTdo0QJkfLRpaJNcOKtogcnqgxmfHGaG4jYqowYPSj4lCB8ApdPmz/88EPUqlULY8eOxcyZMzFy5Ei0a9cOANCpUyfs378fAHDgwAGoVCoMGjQInTp1yv43a9YsVzfZYV56yYQdOzJRujTXpWP7diEmjvIHdJYBvaofH8taBYPnhXnkbK3TzZubIKWxhShBeAxjZ6U+8bz43D6upBhwJ90i2IU8oKuXrUR5IsMiuTmpt8dpkKI1Femc31/OwGOV5RwCBpjVIgCMF/btBEHY4/JcEhKJBDExMYiJibH77vTp09n/L+kCLkUlKsqM3btV6NlTjsePLfMW9qYCWFIJGPUQcn8Wa9uWQqDYO5cDyd2DcEdahomw+5E2+/PxeD1G1y6e37J192hTTuK177sn8UoZMar48XE/I0sA683A+rsavFencEVX7qYZsegqd/X03doK1PSymBiCIHKHevZipEYNM3bvzkS1ajaWjzgZsLgyvo4shdrOztfkJphMwOHDtoLakMveBOE6osNtLNTxOqcFpVnDsiwVc3FTeAyDIbbBibdUhXoOWJbFp6eU0FstSIZLeZgU5X1ufARB5A4J6mKmQgUWLb56CpTjDqx4JsGCd0ohLs47lwMvXOAjPd1ybUFBZtSvT+XGiZKnQSkhZALLsxmvMWdbKp3J+SQDHmZazivmAx29pPqpNzCgugxWjwFupxlxohDBibsearHvCddtaHrTAPiLaHglCF+C3vhiZm2sCuueZwDvPQCqcQNf7t/no0MHBW7c8L7bkFO58TxSiBOEyxDyGDQJ4abPK44y5Jvv2wYfS0hkuRFhMj46VeROcBytnKgxsvjMJhCxZZgIfarSSgRB+BrUuxcj5xP1+OiEMuuD1AyMfghpPa6f3fPnPHTqJMfZs96VRov8pwl3xj4ftXPSpr3AzLLYRu4ebs+wSK7bx7Y4DVJ1BV9Jm38lg7MKwWeA2S0CKRCRIHwQEtTFRKLGhMH/pEBntZIslQK7/tCiTx/u4J2aykP37nIcOuQdojozEzhzhnstr75KgppwH1raCmonZ/o4laDHU7VFmMkEDNqXJ3cPd+PVsmJUVFj6Kp0J+P2uOo8jLMRlGDH/SgZn26hactQJ9s64GIIg8oYEdTFgMLMY9m8Knqi5fpkLXwpEwzAhli7VYORI7gCuUjHo00eOP/90eeIVp3P8uAAGg1VqwKomVKpUvMUzCMIRmoSIOP6z9zJMiFc7z4/aNhixYwUJ5FTcw+3g5VQ5sYDBiZ+eSuMYTEIkPHwaZV/xlyAI34B6+GJg6pk0HHvOtUK/V0eBPtWycp/yeMDs2Vp8/LGWs49ez2DoUBnWrfNsC4etuwdZpwl3Qy7koUEp7nvmLLcPk5nF9jgq5uIpDKwhA99qcnVDacTphLyfhb2PtNjziNt/f9nEn1IiEoQPQ2+/k/n9rho/XecGtrwSLsKXTbiWC4YBJk/W4auvuAOv2czgvfdk+PFH7pK0J/HvvySoCffHtsCLswITjz7XI0FjcffwFzJ4vRy5e7gr4TI+OthkX1l5O3e3D60xK02eNc1DRXiruiznAwiC8AlIUDuRS8l6jD+m5GwrL+fj19eCIeDlHKTyv//psWiRGjwed4nx88+l+PprMYohPW6x8vw5gxs3LD6JPB6LVq1IUBPuR8vw4glM3GqT3aNjRQkkAgpSc2fsghPva6DMJThx0dUMTppFHgPMbhHgldVuCYIoOCSonUSy1oRB/6RAY7IoYDEfWNsmGKUleQcbDh5swMqVaohEXPU8e7YEkyZJYPag9M221ulGjUwIDCyZthBEXrQI5QrqqymGXEVUQTGYWWx/wF116l2FLJfuTpuyYpSXW/ppjYnFpnv2VuqHmUZ8f5mbqWl4pBz1S3nuiiJBEM6BBLUTMJpZjDiUikeZ3KCmedGBiCpdsI62WzcjNm5UQS7niurly8V4910pDB5SZJD8pwlPIVjCR61Ay/PKAvn6zubHoac6pOos73CgiMGrZcV5HEG4A3wegyER3InPrzkEJ35+Ko1jNCkl5mFyIwpEJAiCBLVTmHEuHf8+5fpfjqolx4Aa8lyOyJlXXzVh+3YVAgO5VrKNG0UYNEgGjSaXA90ElgUOHSJBTXgOtn7UJ4roR22b3aNrJSlEfHIF8AQG1ZDD2jPveqoR55IslowDT7TY+ZAbiDiNAhEJgvgP6gmKyNb7aiy4yl0CjA4T4ZtmAYU6X5MmJuzapUJ4OFdU790rxJtvypGeXuimFjs3b/Lw/LnlkZLLWTRr5vySzgThLJxZ4EVnYrHzoY27B1XM8xjKyvl2ucJX3soKMNeZWHxyklsRsXFpIQbV+H97dx9X4/0/cPx1ur9TIRFSmNBI/b60QiXkXhqb2zazMTNzb2Yzk7mbuR3G0Nyzyd3MPTON2RczkbuRUcjclLWU7s/5/dG3o6sTojqV3s/Ho8ejc67rOufzua5zrut9Ptf78/lIOo8QIpsE1IVw/n4GQ39NUDznYGHAqlaVMH5MJ8SCcHVVs3dvEs7OymD06FEjuna1Ii6udLZ45U33aNEiExNJLRSlWN6A+lRcOqmZz9cT+GBsKonpj7a1MzOgZTVJ9yhL3qqvDJC3XkshKRMWn0/iSuKju20qYLa3rXREFEJoSUD9nBIzIfjneB7muviaGMAa/8pUtSj8jIfOzhr27k3G1VUZVJ85Y0jHjpbcvFn6TuR5OyT6+Um6hyjdaloZ4Zhrprx0NfwR93yt1NvypHt0czZ/7Og+onRqW8OMGrnO3w8zNay5acysM8oZEfu7WOBRwP4xQojyQQLq55Cl1jDxkqli6CTIbrFoZl90J9lq1TTs2pVMs2bKwDQqypAOHay4cqX0HL709OwW9Nz8/SWgFqVfUaR9PMxUsydPfm13mcylzDEyUBGct3PiTWNFw0lFUxWf/Uc6IgohlEpPRFaGzIh4wG//KFuh33Kx4E2XZ+uEWBAVK2rYti2ZVq2Uw3zcvGlAhw6WnDlTOg7h778bkpz8qDWualU1DRuWofH+RLnVvAg6Jh64mUZSrqDLwcJAJ1AXZUNwPQuedGPhs/+zodJThkIVQpQ/pSMaK0N2xKQwO1J5+69ZFWNmetkW23taWcHGjQ/p2lUZVMfFGdC1qxX//W/Jn9zz5k/7+WUi6YWiLMgb+J64m06W+tnyqLfmmcylm7O55NeWUY5WRgTUyD/3vUllY53h9YQQAiSgfmY/xypv61Y1N2BN68qYFvPQWKamsHLlQ/r1U96OTkxU0b27Jfv3Gz1mS/3Imz8t6R6irHCxMaJyrqHPHmRoOHu/4AO/P8hQs/+GslVb0j3KtsfdbZztZYuh5MULIfIhAfUzmutty3RPGwzRYKSCVf6VcCiCTogFYWQEixalMHSo8uKdkqKib18Ltmwx1ks58kpIgFOnlPtAxp8WZYVKpdJppf7tGfKo915PVUz24WhlSLMqku5RlrV3NKOaufLyGFzPokj7yAghXiwSUD8jlUrF+y9b8XWjNOa3sNWZGKL43x+mTk3l00+VLeWZmSoGDjRnxQr9n/CPHDFCrX7UatOwYRYODs839JgQJcG72vPnUeedzOVVZ3NUku5RphkZqBjbpIL2cXULAyZJR0QhxBOUbJ5AGfYfWzX1nnEmxKKiUsHYsWnY2mr48EMzNJrsi7dGo2L0aHMSElSMGpWmtxxmGS5PlHXN8xnpQ6PRPDUwTkhTczBWRvd4Eb3TwJLqloYc/+s2g5o5UsW85PuqCCFKL2mhLsMGDkxn2bIUjIyUrcGff27GpElmaPTUSJy3Q6LkT4uypnElY6yMHgXPcalqxUQej7P7egrpuQazqVPBkCaVSyb1ShQtlUpFp1rmBNfMpKaVtD0JIZ5MAuoy7vXXM1i//iFmZsroecECU4YPNyermGf+jolRcfXqo5YbY2MNLVpIQC3KFiMDlU5+bEHGo86b7tG9toWkewghRDkkAfULoH37TLZsScbaWhlUr11rwttvW5D27MPqFtgvvyhbbpo1y8LKqvjeT4jiotMx8faTvzj3U7MIv6Vc51VJ9xBCiHJJAuoXRIsWWfz4YxJ2dsrJVLZvN6ZPHwuSk4vnffOme8joHqKsytvB+Gkt1DtiUsk1lwv1bYxwrSipAUIIUR5JQP0CcXdXs2dPMjVrKoPqn3825tVXLUlIKNr3U6t1W6glf1qUVU2rmGCc64wYk5TFreTH50xtyZvuUUdG9xBCiPJKAuoXTL16avbsSeKll5SBwIkTRnTqZMXt20V3wY+MNOD+/UcfIWtrDR4exZy0LUQxMTdS4VE5bx51/mkfd1Oy+PW2TOYihBAimwTULyBHRw179iTj5qYMbi9cMKRjR0uio4smqM47XJ6vbyZGcsdblGHNqxWsY+L26BRyz07eqJIx9WxkdA8hhCivJKB+QVWpomHHjiSaN1emYFy7ZkiHDlZcvFj4Q3/okDKAkPxpUdblzaN+XMfEvKN79JDWaSGEKNckoH6B2djAli3JtG+foXj+9m0DOnWy5OTJ55+oICUFjh1Tbi/506Kse8XehNz3by4kZPJPmrJPQmxylk7LtYzuIYQQ5ZsE1C84c3NYt+4hr7+uDAD++ceAbt0s+eWX5wuqjx0zIi3tUejh6KimTh31E7YQovSzNTXQGanjWJ486h+ila3T/2dnjHMFyXUSQojyTALqcsDYGJYuTWHgQGVgkJys4vXXLdmx49mDgfxmR5QBDsSLoPlThs/bdu2h4rG0TgshhJCAupwwMIBZs1IZOzZV8Xx6uor+/S1Yv/7ZOlTJ+NPiRZV3gpfcI31EP8jk5D1lCtWrzhJQCyFEeScBdTmiUsGnn6YxdarylrVarWLoUAsWLzZ5zJZK9+8bcfbso1QRlUqDn58E1OLF4F1N2UIdEZfBw8zsdKYf8nRG9LI3oaaVpHsIIUR5JwF1OfTBB+ksXPgQAwPlVOWffGLOtGmmaDSP2fB/Tp6soHjs5qamcuWnbCREGeFgYYhzhUc/GDM1aFul847uIekeQgghQALqcuuNNzJYteohJibKQHjWLDPGjTND/YT+hcePWyseS7qHeNHoTkOeRkyKisj7j9I9DFQQJOkeQgghkIC6XAsMzCQsLBlLS2VQvXy5Ke+9Z05Ghu42Go1uQO3vn8+KQpRhunnU6Ry4pxwRp0VVE6paPP/Qk0IIIV4cElCXc61aZbF9ezK2tsom6bAwE4KDLUhR3uHmyhUD7tx51HpnZqbBy0umGxcvlhZ5Wqh/v5vOvnvKXOnutS30WSQhhBClmATUgqZNs9i9O5lq1ZRB9b59xrz2miWJiY+eyzvduLd3JmZm+iilEPpTx9oQe/NHp8fkTA3RKY8eG6og0Fk++EIIIbJJQC0AcHVVs3dvEs7Oytbmo0eN6NrViri47EGmZbg8UR6oVCqdtI/cWlU3pbKZpHsIIYTIpveAOj09nenTp9OmTRs6dOjAmjVrHrvu5cuXefvtt/Hx8eHNN9/kwoULeixp+ePsrGHv3mRcXZVB9ZkzhnTsaEl0tIpff5WAWpQPeTsm5iajewghRPFLS4MRI8xxcrLGxaUCX331+IaOs2cNCAiwxMHBGj8/K06d0m+jh94D6gULFhAZGcmiRYv4+OOPWblyJfv379dZLyUlhZEjR9KoUSPWrFmDu7s7o0aNIjk5Wd9FLleqVdOwa1cyzZopA+WoKEP8/CqQmPhoOkQ7OzWNG8t04+LF9LgWamMD6FJLAmohhChuEyeaceKEIdu3JzFvXgqzZ5uxZYvuRHTJyfD665Y0bZpFeHgS3t6Z9OxpwYMH+iurXgPqlJQUtm/fzujRo2nYsCF+fn4EBwezadMmnXUPHDiAkZERI0eOpHbt2owaNQorKysOHDigzyKXSxUrati2LVln9I5//1XOLe7nl4mBJA2JF1SjisZYG6t0nm9TwwxbU/ngCyFEcUpOhjVrTJgxIwV3dzWdO2cyfHgay5frNnZs3WqMkRFMm5ZK/fpqZsxIxdpaw7ZtzzYLdGHo9aoQFRVFeno6TZo00T7n7u7OhQsXyMxUtoieO3cONzc3DP4XsalUKtzc3Dh79qw+i1xuWVnB998/JDDw8UPiyeyI4kVmaKDC0173xN1d0j2EEKLYnTtnSFoaipHEvLwyOXXKkDwhIydPGuHl9aiRT6WCV17J4sQJ/c1kq9eAOi4uDmtra0xNH+UmVqpUiYyMDBISEnTWrVKliuK5SpUqcffuXX0UVQCmprBixUOCg9PzXe7vLwG1eLHlzaM2M4SOtWR0DyGEKG63b6uoWFGjGEnM3l5DerpKO1BC7nWrVVPOqWFvr+HWLd27jMVFf6E7kJqaiomJssUn53F6errOusbGxjrrZuQ328j/REVFFVFJC0bf71dShg8HjaYm69dX0z7n4vKQ1NTLlJNdoFBejnt+ylvdAy0gsKXyudvRf3G7ZIpTosrbsc+tPNcdynf9pe76Ua9ePZ3nUlJUmObpG25qmh00p6Xlt64yoDYx0ZCW9oIG1CYmJjqBc85jszyDGZuamuoEz+np6Trr5ZbfASkuUVFRen2/krZoETRpksKcOaZYWKSxdKm6XNU/R3k77rmV17p/EZHI1+eTqGWaydbONcrl7Ijl9dhD+a47lO/6S91Ltu5mZhqdwDknQLawyG9dZfCcnq7CwkIZZBcnvaZ82Nvb8+DBA0WgHB8fj4mJCdbWyumsq1SpQnx8vOK5+Ph4KleurJeyCiWVCt59N52LFx8QFnYeDw+ZHVGUD+M9rInp58Aq97RyGUwLIURJcHDQkJCgInc77J072S3RFStqdNa9e1cZUN+5o6Jq1Rc0oHZxccHY2JjIyEjtc2fOnKFBgwYYGSkbyxs1akRkZCQaTfbO0Gg0nD17lsaNG+uzyCIPGdVDlEcGKv3dNhRCCAGNG2dhYgLHjz9qyDh2zAh39yzyhIw0bZrJ8eNG/C9kRKOBEycMdYYALk56DY/MzMzo1KkTX375JefPn+fw4cOsW7eOXr16AdkdEVNTUwFo3bo1KSkpzJ49m6tXrzJv3jySk5MJCAjQZ5GFEEIIIYSeWVhAnz7pjB1rzh9/GLJ7txGLFpkyeHB2k/WdOypSUrLX7dYtg+RkGDfOjD//NOCTT8x48EBF9+6P73dX1PTe3jhq1CgaNmzI+++/zxdffMHAgQO1QXKnTp346aefALCysmLevHlERkby5ptvEhkZybx587C0tNR3kYUQQgghhJ5Nm5aKh0cWgYGWjB5tzocfpmqD5Pr1rdm6NXvwCmtrCAt7yPHjRvj5WXH8uCGbNiVToYL+yqrXTomQ3UodEhJCSEiIzrITJ04oHru6urJ27Vo9lUwIIYQQQpQWFhbwzTcpfPNNis6yhIR/FY//7/+yOHw4SV9F0yEZsUIIIYQQQhSCBNRCCCGEEEIUggTUQgghhBBCFIIE1EIIIYQQQhSCBNRCCCGEEEIUgiohIUF/08gIIYQQQgjxgpEWaiGEEEIIIQpBAmohhBBCCCEKQQJqIYQQQgghCkECaiGEEEIIIQpBAuo89u3bh6enJ+vXr1c8/95777FkyZLHbufp6akzdXppd//+fWbOnEmXLl3w8fHhtddeY/ny5aSmppZ00YqMp6en4i8gIIApU6aQnJxc7O/9xx9/4OnpSWZmZr7Lly1bxqBBg4q9HFCy+6E0e9r3uiwrL8e8NH/HS5tu3brp7K+cv/DwcLp168YPP/zw2G1zlj18+JCdO3fmu6yoPe81uThMnjyZzz77DCjdx/6HH36gW7du3Lp1C09PT27cuFHSRSoXjEq6AKXN/v37cXR0ZNeuXfTr16/A2+3evRsbG5tiLFnRunv3LoMGDaJ69epMnjwZBwcHrly5wpIlSzh69CjffPMNZmZmJV3MIjF9+nTc3d1Rq9XcuXOHGTNmMH/+fCZMmFCi5QoODqZXr156e7/Suh9E8Skvx7y81LMojBgxgvbt2+s8b21tzbx58x673apVqzA3Nwdg/fr1nDhxgi5duugsK2rPe00WULVqVXbv3k3FihVLuijlgrRQ55KYmMixY8cYNGgQV65c4dKlSwXe1s7ODmNj42IsXdGaNWsW9vb2LFy4kP/85z9Ur14dX19fli1bxr179/j2229LuohFxtraGjs7O+zt7WncuDG9e/fmp59+KuliYWFhodcfYaV1P4jiU16OeXmpZ1GwtLTEzs5O58/ExOSJ21WsWFHbyKLRaB67rCgV5poswNDQEDs7OwwNDUu6KOWCBNS5/Pzzz5iYmNC2bVtq1aqluKUFEBcXx5AhQ2jZsiVvv/02169f1y7LnfIRFxfH+PHjadOmDS1atCA4OJhTp07ptS5Pcv/+fY4cOUL//v0xMlLepKhQoQK9e/fmxx9/JCsri6VLl9K5c2dtnSMjI4H8b3flvh22bNkyJkyYwKxZs/D39ycwMJBVq1bprY5PkvfXenJyMlOnTqV9+/Y0b96c1157jZ9//lm7PG86z86dO7UtMwCXLl1i8ODB+Pj4EBQUxI8//qh4/R9++IEuXbrg6+vLpEmTSEtLA/Sb8pGfvPtBrVazdu1aXn31VXx8fBg8eDCXL1/WLvf09OSbb76hXbt2DB06lJ07dzJo0CBCQ0Np164dHTt2ZO7cuajVau02O3fupFevXvj4+PDmm2/yxx9/6K1+zyKnLitXrqRNmzZ06NCBvXv3cuDAAbp27UqbNm1YvHixdv20tDQWLVqkPa6jR4/m77//LsEaFEzeY67RaPj222/p3Lkz/v7+DB8+XOe8tmvXLvr27Yufnx9Dhgzh5s2bwNPPAQDh4eHa4//GG2/w3//+t5hrmO1ZvuOrV6/WuVO0ZcsW+vbtC0BSUhIhISH4+/vToUMHpk+f/th0ks2bNxMUFETLli3p27cvR44c0S6LjIxk0KBB+Pj44Ovry/Dhw7l7925RVrtIXbx4kVatWhEWFgY8SuvYuXMnoaGhnDlzBk9PT8Wyova0a3KOv//+m06dOvHVV1+xYcMGgoODtcvCw8Px9PTUBuNZWVm0adOGM2fOkJmZyYIFC+jSpQve3t4EBgayefPmZyrj5s2badeuHQEBAaxYsUKx7MiRI7zxxhv4+PjQs2dPxY+89957j9WrV/PBBx/g4+PDgAEDuHnzJtOmTcPPz48ePXpw+vTpZypLXnlTPhISEhg3bhx+fn4EBQWxZcsW7TGEx39GExIS8PLy0l4PNBoNbdu2Zc6cOdptZ82axbRp0xT1btmyJf7+/nzyySckJSUVqi5lgQTUuezbtw9vb2+MjIzw9fVl3759iovFrl278Pf3Z926ddSoUYNhw4blmz81adIkMjMzCQ0NZe3atVStWpWZM2fqsypP9Oeff6JWq3n55ZfzXe7u7s4///zDhg0b2LRpE59//jkbN26kQYMGfPzxx4qA6UkOHTqEoaEhq1at4tVXX2Xx4sVcvXq1KKvyzBISEti4cSMdOnTQPjdv3jyio6NZuHAh33//PR4eHkyfPp309PQCvd7QoUNxdnZm3bp1DBkyhJkzZypOhAcPHmT+/PnMnj2b8PBwtm/fXhxVeyb57YfQ0FDWr1/PqFGjWLNmDdWrV2fEiBGK4OHw4cMsX76c0aNHA3D+/HmuXbvGsmXLGDJkCGFhYRw7dgzIDlK//PJL3nzzTdatW8crr7zCyJEjuX37tn4rW0AXLlzg+vXrrFq1irZt2zJjxgw2bdrEvHnzeP/991m1ahVXrlwB4IsvvuDQoUOEhISwYsUKsrKyGDNmDFlZWSVci8fL75iHhYWxe/duQkJCWLlyJY6OjgwdOlTRjyI0NJSRI0eyZMkS4uPjFT8snuTy5cuEhITQv39/vvvuO4KCghg3bpziR1pxeNbveLt27YiOjuavv/7Srv/TTz/Rrl07AKZMmcK///7LsmXLmDdvHjExMXz++ec673vp0iXmzp3LqFGj2LRpE23btuWTTz7hwYMHJCcnM3r0aDw9Pfn+++9ZuHAhsbGxrFy5slj3xfOKjY1l1KhRBAcH07NnT8Wytm3b0q9fP15++WV2795drOV42jUZso/3iBEj8Pb2ZsSIEXh5eREVFcW///4LwKlTp1CpVJw5cwbI/qEA0KhRI1avXs3hw4eZMWMGmzdvpkuXLsyZM4d79+49UxkXLlzIxIkTWb9+vfaHxe+//85HH31Ep06dWLduHUFBQUycOJHz589rt125ciXdunVj9erVJCYm0r9/f+zt7Vm1ahW1atVi7ty5hdl9Oj799FPu37/P8uXL+fDDDwkNDdUue9Jn1NbWlgYNGmgbRKKionjw4IF2n+bUt3nz5sTGxjJ+/Hi6d+9OWFgYM2bM4OTJk2zdurVI61IaSUD9P/fu3SMiIgI/Pz8A/P39SUhI4OjRo9p1/Pz86NmzJ87OzowfP55///033xYXHx8fPvzwQ2rXrk2dOnV47bXXuHbtms5tspKSmJgIZLdG58fa2hrI/iVvZGREtWrVqFGjBkOHDmXSpEkFDqgrVKjAiBEjcHJyYsCAAVhbW2tPZvo0ZswY/Pz88PX1pV27dvz555+Ki4S7uzvjx4/HxcWFWrVqERwcTGJiYoFOqgcOHMDCwoJx48bh5ORE+/btGTFihGIfffjhh7z00kvazj9RUVHFUs+nedJ+0Gg0hIWFMXDgQHx9falduzYTJkzAyMhIcdEMCgrCycmJunXrAtmfkY8//hhnZ2cCAwOpV68eFy5cAGDjxo28/vrrdO7cGScnJ4YOHUq9evW0LV6ljVqtZuzYsTg6OhIUFERKSgrvvvsuL730Ej169MDKyoro6GgSExPZs2cPY8aMoWnTprz00kt8/vnn3Lx5U28tsAX1tM/+2rVr+eCDD2jWrBnOzs6MHTsWQ0NDxR2a3r174+npiaurKz169NAe36dZv349Xbt2pVOnTtSsWZMePXoQEBDAxo0b9V7PJ33HHRwccHNz4+DBgwDEx8dz+vRpAgICuHnzJuHh4YSEhFCvXj0aNmxISEgIhw4d4s6dO4oy3Lp1C5VKhYODAw4ODrz11lvMmjULY2NjUlJSeOuttxg4cCA1atSgSZMmtG7dukQaGGbPno2fn5/iL/cdt4SEBIYPH067du0YOHCgzvZmZmaYm5tjZGSEnZ1dsZWzINfktLQ0xowZQ506dfjkk08AqFOnDvb29kRERAAQERFB8+bNtXdXjx8/jqenJ4aGhtStW5cJEybQuHFjatSowVtvvUVWVhYxMTEFLueECROoX78+vr6+9O7dWxs4btq0iVatWtGnTx+cnJzo27cvrVu3Zu3atdptvb29CQgIoE6dOvj4+GBpacmgQYOoXbs2gYGBREdHF2of5hYTE8OJEyeYOHEiLi4utGjRQnGH9GmfUS8vL21AnbNPo6KiSElJ4c6dO9y4cYNmzZqRlZXF6NGjefXVV6levTpeXl54enqWeGOaPkinxP/Zv38/BgYGtGjRAsj+9VqlShV27dql/UK7urpq17e0tKRWrVpER0fj4+OjeK0ePXqwf/9+IiMjiYmJ4c8//wQeBaglLSdgjo+Pp2rVqjrLcwLJZs2asX//frp3746rqys+Pj4EBgYWuA4ODg6K3C1LS8sS6RE9fvx43NzcAHjw4AF79+7lnXfeYeXKlTg5OdGpUyd++eUXfvjhB2JiYrRBf0F+OFy7dg0XFxdFPXMu5Dknn5o1a2qXWVlZFajluzg8aT9YWVmRmJhIo0aNtOsbGRnRsGFDxUndwcFB8Zq2trZYWVlpH+c+xtHR0bz99tuK9Rs3bsy1a9eKumpFwsbGBktLSwBMTU0BZX1NTEzIyMjg+vXrOnd4bGxscHJyIjo6mpYtW+q34E/wpGNepUoV7t69y2effYaBwaO2lfT0dEXaR+7P77N8h69du8Zff/2lSIHKzMxUnEeLSmG/4+3btycsLIx3332XgwcP0rBhQ2rUqMGRI0fQaDQEBgbqvGdMTIzie+/t7U2TJk0IDg6mbt26+Pj40K1bN8zMzDAzM6NLly5s2LCBy5cvc+3aNaKiohTfN30ZOHAgbdq0UTyX+/iHhoaSkZFBtWrV9F00hYJckzdv3kxGRgY9e/ZUHItXXnmFU6dO0bRpU2JiYnj//feZPn06gKIzZatWrTh+/Djz589XXKsL2mhkYmLCSy+9pH3coEED1q1bB2Sf/7p166ZY383NjW3btmkf16hRQ/u/qampYp+bmZmRkZFRoHIUxJUrV7C0tMTJyUn7XOPGjbX/29nZPfEz6uXlxebNm1Gr1Zw6dYq2bdvy119/cfbsWe7cuYObmxtWVlZYWVlhYmLCihUruHr1qvYv547Pi6zko7tSYv/+/WRmZhIQEKB9Tq1W8+uvv5KQkACASqVSbKNWq3U6IqrVaj744AMSExMJCAjAx8eHjIwMPvroo2KvQ0G5urpiaGjIxYsX8w2oL1y4gK2tLfXr12fNmjX8/vvvHD16lG3btrF582ZWr16tsy8Andvd+XXSLIlW+ipVquDo6Kh97Orqym+//cb27dsZPnw4ISEhnDlzhk6dOtG9e3fs7Ox45513Hvt6uQOKgvy4yH2xgpLZB/Dk/ZA38M2hVqsVxzUn0MzxpGOcd92c1yvoxUrf8juW+X3OH9d5Kysrq9SlfDzpmA8YMACAadOmUbt2bcV2ue9ePa6z9dPOAVlZWfTr14+uXbsq1nla57fnUdjveE4+6F9//cXBgwe1o2BkZWVhbm6uDZJys7OzU7TWm5mZ8fXXX3P69Gl+/fVXfv75ZzZt2sSyZcuwsbGhf//+1K9fHy8vL4KCgjh69Kjilrm+2NraKvZVXp6enrRs2ZKFCxcSEBBAlSpV9Fi6RwpyTa5bty4DBgzg448/pmvXrri4uADZwd/KlSuJiIigYcOGeHh4EB8fz9WrVzl37hxTp04FYMmSJWzbto2uXbvSsWNHxo0bpxMEP0l+MUHOeSS/z3lWVpbi/Je3s2Dea0VBxcfHk5SUpAiW8752fh0Tc1+L7t69+8TPaKNGjVCr1URFRREREcHw4cNxd3cnMjKS6OhovL29gexUr5w8bHd3d/r27ct33333XPUqayTlA7h+/ToXL15k1KhRrFu3Tvs3d+5cMjMz2bdvH4Aix+7Bgwdcv34dZ2dnxWtdu3aNiIgIFi5cyNtvv03Lli2Jj4/XZ3WeytbWljZt2hAaGqrT2pSUlMSGDRvo2rUrx44dY9u2bXh7ezN27Fg2bdrEw4cPOX36tPakkTu/NjY2Vq/1KAyNRkNmZiZJSUns27ePKVOmMHjwYPz9/bUpMTknG2NjY0U9b926pf2/Vq1aREVFKU6SU6ZMYenSpXqqSeHk7AcrKyvs7Ow4d+6cdllmZiZ//vmn4iT9LJycnBSvB3Du3Lnnfr3SwtHREUNDQ0UuZEJCAjdu3CgTdcs55hUqVKBSpUrExcXh6OiIo6Mj1atXZ/HixQXKc37aOcDJyYlbt25pX9vR0ZE9e/YQHh5e5HXKz7N8x21tbfH09GTPnj2cO3dO24Lr5ORESkoKarVaWweA+fPn63RMjIyMZMWKFXh4eDBs2DDCwsKoVKkSv/32G+Hh4VhaWjJ//nx69+6Nh4cHsbGxpSYNMDdfX1+CgoKoVasWX331Vb7r5PdjqigV9Jrs5eVFq1at8PHxYebMmdr9mZNi8Msvv+Du7o6ZmRkNGjRgxYoVODs7a38kbN26lTFjxjBs2DDatWtHSkoKUPBGj7S0NG0nXcjuU5ITEzg7OyvOEQBnz56lVq1ahdo3+Vm3bp2ig2BSUhK2traKdWrXrk1ycrLi7lNOizzw1M+okZERTZs2ZcuWLZiYmFCjRg3c3d2JiIjgxIkTNG/eHIA9e/bg5ubG1KlTee2113B1deXGjRul8rNe1CSgJvuXcIUKFejevTt169bV/rVo0QI3Nzd27doFZOfLbtu2jatXrzJlyhRq1qyp6CEL2bf0DQwMOHDgAH///TcHDx5k2bJlACV2qz8/I0eOJCUlhWHDhnHq1Clu377Nb7/9xuDBg6latSqDBg1Co9GwYMECDh48yK1bt9i3bx9paWm4uLhQp04dTE1NWb58ObGxsaxfv77YOxs9r8TEROLi4oiLiyM2NpZvvvmGmzdv0rZtW20+YHh4OLdu3eLYsWPMmjULQHu7zdXVlQ0bNnD9+nWOHDmi6GneoUMHHj58qO2stG/fPm1HmtLmSfsBoF+/foSGhnL48GGio6OZPn06qampz32rrl+/fmzevJldu3YRExPD119/zeXLl5+pBag0Mjc3p3v37syZM4eTJ09y5coVQkJCsLe3L3XH/WnHvE+fPixdupTw8HBu3LjBl19+yYkTJ3RarPPztHNAnz59OHjwIBs2bODGjRts2bKFlStXKm5z66OeBfmOQ3bax8aNG3F3d9fmBteuXRtvb28mTZrEuXPntB0t79+/r5M/bGZmRmhoKFu3buXWrVscPnyYu3fv0rBhQ2xsbLh37x7Hjx8nNjaW1atXc+jQoRK5JiQnJ2v3Ve6/3D8QDAwMGDNmDAcOHMh3wjILCwvtvi4OBb0m5xgxYgSXL19mx44dQHZaY8OGDdmzZw/u7u4AeHh4cODAAcV31MbGhl9//ZXY2FjOnDlDSEgIUPBrtYGBAZMnT+bSpUscPHiQsLAw7VjZffv25dChQ3z33Xdcv36d7777jvDwcF5//fVC7h1dHh4eREREcPz4cc6fP8/WrVt1YhMnJye8vLyYNm0aly9f5sSJE9rYBCjQZ9TLy4tdu3Yp9unJkycxNDSkXr162tfJuRNw/fp15s+fz4ULF4o0faW0kpQPsr+87du3z/cWdY8ePZg0aRI2Njb07t2bHTt2MGfOHBo3bsysWbN0btFUrVqVjz76iG+//ZYlS5bg5OTEmDFjtF86Dw8PfVXriezs7Pj2229ZuXIlkydP5v79+1StWpX27dvzxhtvYGZmho+PD++99x4LFiwgLi6OmjVrMnXqVG0r3IQJE1i8eDHbt2+nVatW9OrVq1QOA5XTWQWy0xDq1avHF198oc25nDx5Ml999RWbNm2ievXqDBgwgOXLl3Pp0iXq1q3L2LFjmTZtGn369KFBgwYMHjyY5cuXA9k/oObNm8fcuXPZtm0bVatW5dNPP8XNza3UDRH3tP3Qp08fkpOTmTFjBklJSTRu3JilS5dSuXLl53q/1q1bExcXx7Jly4iPj8fFxYWFCxdqOzSWZcOGDQOyc3czMzNp1qwZixcvzvccUpKedsyDg4NJTU1l1qxZJCYmUr9+fRYsWFCg2/xWVlZPPAc0btyYzz//nNDQUL7++mscHByYOHFiseSYF/Y7Dtn5tNOnT9f5ATl58mTmzJnDsGHDUKlUeHp6MnbsWJ0yuLi4MGnSJFasWMHcuXOxs7NjxIgReHp6kpWVRUREhLacrq6ujBo1iiVLlpCamqrXSbS++uqrfFue806a4ubmRocOHZg9e7bOLIX+/v5s3bqV3r17F8uoRQW9Jjdp0gTIzkXu168fixYtws/PDxsbG7y8vLh48aL2M+Dh4cHatWsVAfXEiROZOXMmvXv3xs7OjqCgIIyMjLh8+bJO36j8VKhQAV9fX95//32MjY0ZNGgQrVu3BrKP8ZQpU1i2bBmLFi3CycmJ6dOn88orrxTFLlLw9fWlX79+hISEkJqair+/P2+99Rb3799XrPfZZ58xbdo03nnnHW3OdE4nybZt2z71M+rl5UVGRoY2oK5duza2trZ4eXlp71r06tWLS5cuMWzYMIyNjfHw8GDgwIHs3bu3yOtd2qgSEhJe/HZ4IYQQ4gn+/vtvevbsye7dux87ApIQZVVqaqo2NSMnXeunn35i4cKFpWIo1xeBtFALIYQot1JSUvjtt9/YsWMH/v7+EkyLF5KJiQlTpkyhe/fuBAYGEh8fT2hoqM6IL+L5SQu1EEKIcis1NZXOnTtTrVo15s2bh729fUkXSYhicfr0aRYsWEBUVBSWlpZ07NiRIUOGFMvIO+WRBNRCCCGEEEIUgozyIYQQQgghRCFIQC2EEEIIIUQhSEAthBBCCCFEIUhALYQQQgghRCFIQC2EEEIIIUQhSEAthBBCCCFEIfw/a2QNCeekbk8AAAAASUVORK5CYII=\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#2-axis plotting to establish relationship between overal CCVI index and Fragility index.\n", - "fig = plt.figure(figsize = (10,5))\n", - "ax1 = fig.add_subplot(1,1,1)\n", - "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Fragility'])\n", - "ax1.set_ylabel('Fragility')\n", - "\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'b-')\n", - "ax2.set_ylabel('Overall CCVI Index', color='b')\n", - "for tl in ax2.get_yticklabels():\n", - " tl.set_color('b')\n" - ] - }, - { - "cell_type": "markdown", - "id": "1a6aaf93", - "metadata": {}, - "source": [ - "Inverse correlation is observed between Fragility index and Overall CCVI index in almost all the top 10 states being considered here. While Osun, Benue and Ekiti all had lower Overall CCVI index with a correspondingly higher Fragility index, Abia, Bauchi, Imo, Bayelsa, Akwa Ibom and Jigawa states all had higher Overall CCVI index with correspondingly lower Fragility index. Only Borno showed equal Fragility and Overall CCVI indices. It is therefore inferable that Fragility alone can be responsible for the recorded impact of the covid crisis in Borno. This is however not applicable to other members of the top 10 states where Fragility alone may not be responsible for the recorded impact of covid crisis." - ] - }, - { - "cell_type": "markdown", - "id": "8d262114", - "metadata": {}, - "source": [ - "TODO I - Determine the relationship between the external dataset and the NCDC COVID-19 dataset.\n", - "\n", - ">Here you will generate a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", - ">Provide a summary of your observation" - ] - }, - { - "cell_type": "markdown", - "id": "1b05f7bd", - "metadata": {}, - "source": [ - "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset.\n", - "\n", - "#Generating a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", - "\n", - "#Also will Provide a summary of observation" - ] - }, - { - "cell_type": "code", - "execution_count": 355, - "id": "79236f5a", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Regression plot between Confirmed cases population density of top 10 states.\n", - "# regplot\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=Top10_NCDC_external).set_title('Confirmed Cases and Population Density')" - ] - }, - { - "cell_type": "markdown", - "id": "eaf3d582", - "metadata": {}, - "source": [ - "For the top ten (10) highest confirmed cases, it is generally observed that there is higher uniformity in distribution of confirmed cases across most population densities in states in Nigeria. However, a few outliers (exception to this case) exists: There are five occurences which are above the common distribution value across states and there are five occurences which are below the common distribution value in states of various population densities. " - ] - }, - { - "cell_type": "code", - "execution_count": 430, - "id": "6faecbce", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Regression Plot for Lab confirmed cases vs population density for all states\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=NCDC_external).set_title('Confirmed Cases and Population Density')" - ] - }, - { - "cell_type": "markdown", - "id": "2e596b41", - "metadata": {}, - "source": [ - "The general trend indicates that higher record of Lab confirmed cases is associated with higher population densities across all states. There are also many outlier cases that does not align with this trend i.e does not show that higher or lower confirmed cases connected with higher or lower pouplation densities." - ] - }, - { - "cell_type": "code", - "execution_count": 131, - "id": "96eb987a", - "metadata": {}, - "outputs": [], - "source": [ - "# Further analysis on other indicators: Recovery rate\n", - "JH_Daily_Recovery_Nigeriadf['Recovery Rate'] = JH_Daily_Recovery_Nigeriadf['Recovered Cases'].diff()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 132, - "id": "a243f893", - "metadata": {}, - "outputs": [], - "source": [ - "# Further analysis on other indicators: Death rate\n", - "JH_Daily_DeathsNigeriadf['Death Rate'] = JH_Daily_DeathsNigeriadf['Death Cases'].diff()\n" - ] - }, - { - "cell_type": "code", - "execution_count": 139, - "id": "cb091148", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Recovery Rate in Nigeria')" - ] - }, - "execution_count": 139, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Further analysis on other indicators: lineplot of Recovery rate \n", - "plt.figure(figsize = (20,10))\n", - "sns.lineplot(x = 'Date', y = 'Recovery Rate', data = JH_Daily_Recovery_Nigeriadf).set_title('Daily Recovery Rate in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "544b3271", - "metadata": {}, - "source": [ - "The highest recorded rate of recovery of 11188.0 was made on 2020-08-04 while the lowest was -165208.0 on 2021-08-05." - ] - }, - { - "cell_type": "code", - "execution_count": 140, - "id": "d727aa53", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "11188.0" - ] - }, - "execution_count": 140, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Highest recovery rate\n", - "Highest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].max()\n", - "Highest_recovery_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 141, - "id": "dc8e69c8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
    DateRecovered CasesRecovery Rate
    1952020-08-043185111188.0
    \n", - "
    " - ], - "text/plain": [ - " Date Recovered Cases Recovery Rate\n", - "195 2020-08-04 31851 11188.0" - ] - }, - "execution_count": 141, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == 11188.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 142, - "id": "e315403a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-165208.0" - ] - }, - "execution_count": 142, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Lowest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].min()\n", - "Lowest_recovery_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 143, - "id": "f911ea90", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
    DateRecovered CasesRecovery Rate
    5612021-08-050-165208.0
    \n", - "
    " - ], - "text/plain": [ - " Date Recovered Cases Recovery Rate\n", - "561 2021-08-05 0 -165208.0" - ] - }, - "execution_count": 143, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "\n", - "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == -165208.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 144, - "id": "a02231ee", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Daily Death Rate in Nigeria')" - ] - }, - "execution_count": 144, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Further analysis on other indicators: Seaborn's lineplot Death rate\n", - "plt.figure(figsize = (15,5))\n", - "sns.lineplot(x = 'Date', y = 'Death Rate', data = JH_Daily_DeathsNigeriadf).set_title('Daily Death Rate in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "73b25263", - "metadata": {}, - "source": [ - "There was a spike in the death rate in Nigeria on 2021-08-29 with a record high of 93.0. The reason may be because that relaxed perventive measures with apparent ease of local restrictions. The lowest death rate of -4.0 was recorded on 2022-06-10 perhaps due to the success at global control the corona virus, especially in year 2022." - ] - }, - { - "cell_type": "code", - "execution_count": 145, - "id": "c4596cbc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "93.0" - ] - }, - "execution_count": 145, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Highest_death_rate = JH_Daily_DeathsNigeriadf['Death Rate'].max()\n", - "Highest_death_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 146, - "id": "34e9077c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
    DateDeath CasesDeath Rate
    5852021-08-29245493.0
    \n", - "
    " - ], - "text/plain": [ - " Date Death Cases Death Rate\n", - "585 2021-08-29 2454 93.0" - ] - }, - "execution_count": 146, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] == 93.0]" - ] - }, - { - "cell_type": "code", - "execution_count": 147, - "id": "421c5844", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "-4.0" - ] - }, - "execution_count": 147, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Lowest_death_rate=JH_Daily_DeathsNigeriadf['Death Rate'].min()\n", - "Lowest_death_rate" - ] - }, - { - "cell_type": "code", - "execution_count": 148, - "id": "e79bfc0f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
    \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
    DateDeath CasesDeath Rate
    8702022-06-103144-4.0
    \n", - "
    " - ], - "text/plain": [ - " Date Death Cases Death Rate\n", - "870 2022-06-10 3144 -4.0" - ] - }, - "execution_count": 148, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Find the date\n", - "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] ==-4.0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "55dfb36f", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 150, - "id": "0d3d5777", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Regression\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=NCDC_external[\"Age\"], y=NCDC_external[\"No. of Cases (Lab Confirmed)\"], data=NCDC_external).set_title('Age and infection Pattern in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "143c42d6", - "metadata": {}, - "source": [ - "The above plot displays the association between number of confirmed cases and age of populations. Though it can be infered from the regression trend that susceptibility to the covid infections are generally associated with elderly group in populations, many outliers indicates that many other age categories also were captured in high and low number of recorded lab confirmed cases." - ] - }, - { - "cell_type": "code", - "execution_count": 151, - "id": "75ed56aa", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.figure(figsize = (10,5))\n", - "ax = sns.regplot(x=\"Age\", y=\"No. of Deaths\", data=NCDC_external).set_title('Age and Mortality in States in Nigeria')" - ] - }, - { - "cell_type": "markdown", - "id": "5baf5607", - "metadata": {}, - "source": [ - "Apparently, the number of deaths tends to be more in the younger population because they are more in the overall population compared to the elderly group. The trendline of the regression does however indicate that the number of deaths recorded among the elderly group is still significant because they are less in population compared to the younger populace. " - ] - }, - { - "cell_type": "code", - "execution_count": 152, - "id": "6110820e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Bar plot for Mortality and Health Systems\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.barplot(x=\"Health System\", y=\"No. of Deaths\", data=NCDC_external).set_title('Mortality and Health System')" - ] - }, - { - "cell_type": "markdown", - "id": "bc686c82", - "metadata": {}, - "source": [ - "From the bar plots above, it is not clear whether health systems in states in Nigeria had any significant influence on the number of deaths recorded during the covid crisis." - ] - }, - { - "cell_type": "code", - "execution_count": 153, - "id": "a0805c69", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Bar plot for Discharged cases and Health Systems\n", - "plt.figure(figsize = (10,5))\n", - "ax = sns.barplot(x=\"Health System\", y=\"No. Discharged\", data=NCDC_external).set_title('Discharged Cases and Health System')" - ] - }, - { - "cell_type": "markdown", - "id": "70262c2a", - "metadata": {}, - "source": [ - "Health systems of a country may influence the overall health impact of coroner virus. Higher system indices show that health crisis mangagemnt are more effective and therefore there are chances that there will be higher number of discharged cases.\n", - "So far from the barplot, it is inconclusive to say that the health system of Nigeria influenced the number of covid discharged cases in Nigeria. This is further highlighted by the large error bars which indicates higher measure of dispersion from any possible trend." - ] - }, - { - "cell_type": "code", - "execution_count": 154, - "id": "76e60106", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Health System in States')" - ] - }, - "execution_count": 154, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#Plotting Health System in States\n", - "plt.figure(figsize = (8,12))\n", - "sns.barplot(x = NCDC_external['Health System'], y = NCDC_external['states'], data = NCDC_external, color = 'green').set_title('Health System in States')" - ] - }, - { - "cell_type": "markdown", - "id": "849a37e6", - "metadata": {}, - "source": [ - "TODO L -\n", - "Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", - "Steps\n", - "\n", - ">From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", - ">Hint: Use Pandas.melt to create your plot DataFrame\n", - ">Set your quarter legend to lower left.\n", - ">Using axhline, draw a horizontal line through the graph at the value of Q2 2020.\n", - ">Write out your observation\n" - ] - }, - { - "cell_type": "code", - "execution_count": 155, - "id": "81e7c755", - "metadata": {}, - "outputs": [], - "source": [ - "#Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", - "#From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", - "#Hint: Use Pandas.melt to create your plot DataFrame\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 156, - "id": "71e84fea", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    YearQ1Q2Q3Q4
    0201415438679.5016084622.3117479127.5818150356.45
    1201516050601.3816463341.9117976234.5918533752.07
    2201615943714.5416218542.4117555441.6918213537.29
    3201715797965.8316334719.2717760228.1718598067.07
    4201816096654.1916580508.0718081342.1019041437.59
    5201916434552.6516931434.8918494114.1719530000.00
    6202016740000.0015890000.0017820000.000.00
    \n", - "
    " - ], - "text/plain": [ - " Year Q1 Q2 Q3 Q4\n", - "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", - "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", - "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", - "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", - "4 2018 16096654.19 16580508.07 18081342.10 19041437.59\n", - "5 2019 16434552.65 16931434.89 18494114.17 19530000.00\n", - "6 2020 16740000.00 15890000.00 17820000.00 0.00" - ] - }, - "execution_count": 156, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "#Declaring the dtat set to be used\n", - "RealGDP" - ] - }, - { - "cell_type": "code", - "execution_count": 157, - "id": "dd8ef945", - "metadata": {}, - "outputs": [], - "source": [ - "#Restructuring the RealGDP dataframe for easy readability and accessibility\n", - "Q_RealGDP= pd.melt(RealGDP, id_vars=['Year'], var_name='Quarter', value_name='Amount in Billion(N)')" - ] - }, - { - "cell_type": "code", - "execution_count": 158, - "id": "994c4a99", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    YearQuarterAmount in Billion(N)
    02014Q115438679.50
    12015Q116050601.38
    22016Q115943714.54
    32017Q115797965.83
    42018Q116096654.19
    52019Q116434552.65
    62020Q116740000.00
    72014Q216084622.31
    82015Q216463341.91
    92016Q216218542.41
    102017Q216334719.27
    112018Q216580508.07
    122019Q216931434.89
    132020Q215890000.00
    142014Q317479127.58
    152015Q317976234.59
    162016Q317555441.69
    172017Q317760228.17
    182018Q318081342.10
    192019Q318494114.17
    202020Q317820000.00
    212014Q418150356.45
    222015Q418533752.07
    232016Q418213537.29
    242017Q418598067.07
    252018Q419041437.59
    262019Q419530000.00
    272020Q40.00
    \n", - "
    " - ], - "text/plain": [ - " Year Quarter Amount in Billion(N)\n", - "0 2014 Q1 15438679.50\n", - "1 2015 Q1 16050601.38\n", - "2 2016 Q1 15943714.54\n", - "3 2017 Q1 15797965.83\n", - "4 2018 Q1 16096654.19\n", - "5 2019 Q1 16434552.65\n", - "6 2020 Q1 16740000.00\n", - "7 2014 Q2 16084622.31\n", - "8 2015 Q2 16463341.91\n", - "9 2016 Q2 16218542.41\n", - "10 2017 Q2 16334719.27\n", - "11 2018 Q2 16580508.07\n", - "12 2019 Q2 16931434.89\n", - "13 2020 Q2 15890000.00\n", - "14 2014 Q3 17479127.58\n", - "15 2015 Q3 17976234.59\n", - "16 2016 Q3 17555441.69\n", - "17 2017 Q3 17760228.17\n", - "18 2018 Q3 18081342.10\n", - "19 2019 Q3 18494114.17\n", - "20 2020 Q3 17820000.00\n", - "21 2014 Q4 18150356.45\n", - "22 2015 Q4 18533752.07\n", - "23 2016 Q4 18213537.29\n", - "24 2017 Q4 18598067.07\n", - "25 2018 Q4 19041437.59\n", - "26 2019 Q4 19530000.00\n", - "27 2020 Q4 0.00" - ] - }, - "execution_count": 158, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "Q_RealGDP" - ] - }, - { - "cell_type": "code", - "execution_count": 159, - "id": "8c2fcdb6", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 159, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# generating a seaborn's barplot using the GDP values for each year & quarters\n", - "plt.figure(figsize = (10,5))\n", - "sns.barplot(x = 'Year', y = 'Amount in Billion(N)',hue = 'Quarter', data =Q_RealGDP).set_title('Annual-Quaterly GDP')\n", - "plt.legend(loc = 'lower left')\n", - "plt.axhline(y =15890000.00, label ='Hline', color ='black')" - ] - }, - { - "cell_type": "markdown", - "id": "6fe3ce42", - "metadata": {}, - "source": [ - "The second quarter of 2020 (onset of impact of pandemic in Nigeria) was used to apply an axhline threashold and bench mark for comparison of dataset parameters. \n", - "\n", - "\n", - "There is no record for the fourth quarter's GDP in 2020 \n", - "\n", - "\n", - "Economic activities during the fourth quarter was virtually grounded hence there is no record of GDP for fourth quater of 2020. This also means that 2020 has the lowest combined GDP in the years under review. \n", - "\n", - "\n", - "The impact of covid 19 was huge on Nigeria's economy around the second quarter, in 2020, because that was when the highest cases of daily infection were recorded. \n", - "\n", - "\n", - "The negative effects of covid on the population and the control measures enforced by the government affected productivity, all compared to other years included in the review. " - ] - }, - { - "cell_type": "markdown", - "id": "885497a6", - "metadata": {}, - "source": [ - "Note: Do not limit your analysis to the provided TODOs. Perform more analyses e.g\n", - ">Check for more external dataset\n", - ">Ask more questions & find the right answers by exploring the data" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.12" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From b0068b99d9eb41de4fa9ad74cfb00fc1389be956 Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Tue, 30 Aug 2022 16:25:54 -0700 Subject: [PATCH 14/19] Delete Executive Summary on COVID-19 Data Analysis Project.doc.docx --- ... on COVID-19 Data Analysis Project.doc.docx | Bin 526409 -> 0 bytes 1 file changed, 0 insertions(+), 0 deletions(-) delete mode 100644 Executive 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      States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
      0Lagos1031452102372771
      1FCT2916112028792249
      2Rivers1775518017420155
      3Kaduna11487201137889
      4Oyo10328210124202
      \n", + "
      " + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 103145 2 \n", + "1 FCT 29161 120 \n", + "2 Rivers 17755 180 \n", + "3 Kaduna 11487 20 \n", + "4 Oyo 10328 2 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 102372 771 \n", + "1 28792 249 \n", + "2 17420 155 \n", + "3 11378 89 \n", + "4 10124 202 " + ] + }, + "execution_count": 294, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ncdcdata.head()" + ] + }, + { + "cell_type": "markdown", + "id": "fb9a9282", + "metadata": {}, + "source": [ + "# B - John Hopkins Data Repository\n", + "Here you will obtain data from the John Hopkins repository. Your task here involves saving the data from the GitHub repo link to DataFrame for further analysis. Find the links below.\n", + "\n", + "Global Daily Confirmed Cases - Click Here Global Daily Recovered Cases - Click Here Global Daily Death Cases - Click Here\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 295, + "id": "980b61f4", + "metadata": {}, + "outputs": [], + "source": [ + "#Saving the data from John Hopkin's repository's link into a DataFrame object\n", + "\n", + "confirmed_global= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", + "covid19_recovered_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", + "covid19_deaths_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 296, + "id": "2e75c02c", + "metadata": {}, + "outputs": [], + "source": [ + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 298, + "id": "184a6b6a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      " + ], + "text/plain": [ + " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", + "0 NaN Afghanistan 33.93911 67.709953 0 0 \n", + "1 NaN Albania 41.15330 20.168300 0 0 \n", + "2 NaN Algeria 28.03390 1.659600 0 0 \n", + "3 NaN Andorra 42.50630 1.521800 0 0 \n", + "4 NaN Angola -11.20270 17.873900 0 0 \n", + "\n", + " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/20/22 8/21/22 8/22/22 \\\n", + "0 0 0 0 0 ... 7759 7762 7767 \n", + "1 0 0 0 0 ... 3576 3576 3576 \n", + "2 0 0 0 0 ... 6878 6878 6878 \n", + "3 0 0 0 0 ... 154 154 154 \n", + "4 0 0 0 0 ... 1917 1917 1917 \n", + "\n", + " 8/23/22 8/24/22 8/25/22 8/26/22 8/27/22 8/28/22 8/29/22 \n", + "0 7768 7769 7771 7771 7771 7777 7777 \n", + "1 3577 3578 3579 3580 3581 3581 3581 \n", + "2 6878 6878 6878 6878 6878 6878 6878 \n", + "3 154 154 154 154 154 154 154 \n", + "4 1917 1917 1917 1917 1917 1917 1917 \n", + "\n", + "[5 rows x 955 columns]" + ] + }, + "execution_count": 298, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Reading some of the data from John Hopkin's repository\n", + "JH_deaths_global.head()" + ] + }, + { + "cell_type": "markdown", + "id": "219c82cd", + "metadata": {}, + "source": [ + "# External Data\n", + "\n", + "Save the external data to a DataFrame\n", + "External Data includes but not limited to: covid_external.csv, Budget data.csv, RealGDP.csv" + ] + }, + { + "cell_type": "code", + "execution_count": 462, + "id": "dc07766f", + "metadata": {}, + "outputs": [], + "source": [ + "#Saving external data into dataframe objects\n", + "covid_external = pd.read_csv('covid_external.csv')\n", + "Budget_data = pd.read_csv('Budget data.csv')\n", + "RealGDP = pd.read_csv('RealGDP.csv')\n", + "ncdcdata = pd.read_csv('ncdcdata.csv')\n", + "covidnig = pd.read_csv('covidnig.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 300, + "id": "706c1245", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
      0FCTNorth Central48650000.30.00.90.40.60.90.60.20.79
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      " + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 FCT North Central 4865000 0.3 0.0 \n", + "1 Plateau North Central 4766000 0.4 0.5 \n", + "2 Kwara North Central 3524000 0.3 0.4 \n", + "3 Nassarawa North Central 2783000 0.1 0.3 \n", + "4 Niger North Central 6260000 0.6 0.0 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.9 0.4 0.6 0.9 \n", + "1 0.4 0.8 0.3 0.3 \n", + "2 0.3 0.2 0.4 0.2 \n", + "3 0.5 0.9 0.0 0.1 \n", + "4 0.6 0.3 0.7 0.1 \n", + "\n", + " Socio-Economic Transport Availability Acute IHR \n", + "0 0.6 0.2 0.79 \n", + "1 0.5 0.3 0.93 \n", + "2 0.6 0.7 0.93 \n", + "3 0.6 0.5 0.85 \n", + "4 0.8 0.8 0.84 " + ] + }, + "execution_count": 301, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 302, + "id": "9bd48481", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      " + ], + "text/plain": [ + " states Initial_budget (Bn) Revised_budget (Bn)\n", + "0 Abia 136.60 102.70\n", + "1 Adamawa 183.30 139.31\n", + "2 Akwa-Ibom 597.73 366.00\n", + "3 Anambra 137.10 112.80\n", + "4 Bauchi 167.20 128.00" + ] + }, + "execution_count": 302, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Budget_data.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 303, + "id": "d2cb7172", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      " + ], + "text/plain": [ + " Year Q1 Q2 Q3 Q4\n", + "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", + "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", + "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", + "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", + "4 2018 16096654.19 16580508.07 18081342.10 19041437.59" + ] + }, + "execution_count": 303, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RealGDP.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 304, + "id": "8a8ccd9e", + "metadata": {}, + "outputs": [], + "source": [ + "# Combining all 'external' dataframe objects provided using the merge() function on identical column\n", + "merged_t1 = pd.merge(covid_external, Budget_data, on= 'states', how ='outer', sort= True)" + ] + }, + { + "cell_type": "code", + "execution_count": 305, + "id": "f5c77836", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      statesregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHRInitial_budget (Bn)Revised_budget (Bn)
      0AbiaSouth East4190000.00.20.90.60.10.30.90.20.01.14136.60102.70
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      " + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic Transport Availability Acute IHR Initial_budget (Bn) \\\n", + "0 0.2 0.0 1.14 136.60 \n", + "1 0.7 0.6 0.94 183.30 \n", + "2 0.5 0.1 1.01 NaN \n", + "3 NaN NaN NaN 597.73 \n", + "4 0.0 0.1 1.08 137.10 \n", + "\n", + " Revised_budget (Bn) \n", + "0 102.70 \n", + "1 139.31 \n", + "2 NaN \n", + "3 366.00 \n", + "4 112.80 " + ] + }, + "execution_count": 305, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "merged_t1.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 306, + "id": "2b982227", + "metadata": {}, + "outputs": [], + "source": [ + "#Renaming of a column is necessary if web scrapped data from NCDC's link is to be merged with 'external' dataframe on identical column 'states'.\n", + "ncdcdata_rn = ncdcdata.rename(columns={'States Affected':'states'})" + ] + }, + { + "cell_type": "code", + "execution_count": 307, + "id": "38c0df7a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 6 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Unnamed: 0 37 non-null int64 \n", + " 1 states 37 non-null object\n", + " 2 No. of Cases (Lab Confirmed) 37 non-null int64 \n", + " 3 No. of Cases (on admission) 37 non-null int64 \n", + " 4 No. Discharged 37 non-null int64 \n", + " 5 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(5), object(1)\n", + "memory usage: 1.9+ KB\n" + ] + } + ], + "source": [ + "#Checking if Renaming was successful and type of data in imported data from NCDC's link.\n", + "ncdcdata_rn.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 308, + "id": "f8304c9b", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# All data values has to be converted to appropriate type (numeric). We use pd.to_numeric and apply the conversion.\n", + "ncdcdata_rndf = ncdcdata_rn[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", + "ncdcdata_rn[ncdcdata_rndf] = ncdcdata_rn[ncdcdata_rndf].apply(pd.to_numeric,errors='coerce')" + ] + }, + { + "cell_type": "code", + "execution_count": 309, + "id": "edc5e80b", + "metadata": {}, + "outputs": [], + "source": [ + "ncdcdata_rn.replace(',','', regex=True, inplace=True)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 310, + "id": "f3fa815d", + "metadata": {}, + "outputs": [], + "source": [ + "#Final merger of external dataframe and NCDC's data also using the pd.merge() function\n", + "merged_t2 = pd.merge(merged_t1,ncdcdata_rn, on= 'states', how ='outer', sort=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 311, + "id": "2607935d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
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      " + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 26,708 2,435 \n", + "1 FCT 9,627 2,840 \n", + "2 Kaduna 4,504 579 \n", + "3 Plateau 4,262 280 \n", + "4 Oyo 3,788 368 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 24,037 236 \n", + "1 6,694 93 \n", + "2 3,877 48 \n", + "3 3,948 34 \n", + "4 3,374 46 " + ] + }, + "execution_count": 311, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 312, + "id": "cfef53ba", + "metadata": {}, + "outputs": [], + "source": [ + "combined_df = merged_t2.append(RealGDP, ignore_index=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 313, + "id": "e6d82b00", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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      " + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic ... Unnamed: 0 No. of Cases (Lab Confirmed) \\\n", + "0 0.2 ... 21.0 2239.0 \n", + "1 0.7 ... 28.0 1203.0 \n", + "2 0.5 ... 11.0 4973.0 \n", + "3 NaN ... NaN NaN \n", + "4 0.0 ... 16.0 2825.0 \n", + "\n", + " No. of Cases (on admission) No. Discharged No. of Deaths Year Q1 Q2 \\\n", + "0 13.0 2192.0 34.0 NaN NaN NaN \n", + "1 68.0 1103.0 32.0 NaN NaN NaN \n", + "2 22.0 4907.0 44.0 NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN NaN \n", + "4 46.0 2760.0 19.0 NaN NaN NaN \n", + "\n", + " Q3 Q4 \n", + "0 NaN NaN \n", + "1 NaN NaN \n", + "2 NaN NaN \n", + "3 NaN NaN \n", + "4 NaN NaN \n", + "\n", + "[5 rows x 24 columns]" + ] + }, + "execution_count": 313, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Viewing the data\n", + "#Obtain basic information about the merged data using the head() and info() method.\n", + "combined_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 314, + "id": "570617ef", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 47 entries, 0 to 46\n", + "Data columns (total 24 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 40 non-null object \n", + " 1 region 37 non-null object \n", + " 2 Population 37 non-null float64\n", + " 3 Overall CCVI Index 37 non-null float64\n", + " 4 Age 37 non-null float64\n", + " 5 Epidemiological 37 non-null float64\n", + " 6 Fragility 37 non-null float64\n", + " 7 Health System 37 non-null float64\n", + " 8 Population Density 37 non-null float64\n", + " 9 Socio-Economic 37 non-null float64\n", + " 10 Transport Availability 37 non-null float64\n", + " 11 Acute IHR 37 non-null float64\n", + " 12 Initial_budget (Bn) 37 non-null float64\n", + " 13 Revised_budget (Bn) 37 non-null float64\n", + " 14 Unnamed: 0 37 non-null float64\n", + " 15 No. of Cases (Lab Confirmed) 37 non-null float64\n", + " 16 No. of Cases (on admission) 37 non-null float64\n", + " 17 No. Discharged 37 non-null float64\n", + " 18 No. of Deaths 37 non-null float64\n", + " 19 Year 7 non-null float64\n", + " 20 Q1 7 non-null float64\n", + " 21 Q2 7 non-null float64\n", + " 22 Q3 7 non-null float64\n", + " 23 Q4 7 non-null float64\n", + "dtypes: float64(22), object(2)\n", + "memory usage: 8.9+ KB\n" + ] + } + ], + "source": [ + "combined_df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 315, + "id": "7333933a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "states 37\n", + "Initial_budget (Bn) 37\n", + "Revised_budget (Bn) 37\n", + "dtype: int64" + ] + }, + "execution_count": 315, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Budget_data.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 316, + "id": "cbb55a48", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "states 37\n", + "region 6\n", + "Population 37\n", + "Overall CCVI Index 11\n", + "Age 11\n", + "Epidemiological 11\n", + "Fragility 11\n", + "Health System 11\n", + "Population Density 11\n", + "Socio-Economic 11\n", + " Transport Availability 11\n", + "Acute IHR 22\n", + "dtype: int64" + ] + }, + "execution_count": 316, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.nunique()" + ] + }, + { + "cell_type": "code", + "execution_count": 317, + "id": "53f0b8ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "States Affected 37\n", + "No. of Cases (Lab Confirmed) 37\n", + "No. of Cases (on admission) 33\n", + "No. Discharged 37\n", + "No. of Deaths 30\n", + "dtype: int64" + ] + }, + "execution_count": 317, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.nunique()" + ] + }, + { + "cell_type": "markdown", + "id": "3a5a77fd", + "metadata": {}, + "source": [ + "Four states have the same number of cases on admission.\n", + "Seven states have the same number of death counts.\n", + "All states have different counts for Cases Confirmed and Discharged." + ] + }, + { + "cell_type": "code", + "execution_count": 318, + "id": "6f484eb5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Year 7\n", + "Q1 7\n", + "Q2 7\n", + "Q3 7\n", + "Q4 7\n", + "dtype: int64" + ] + }, + "execution_count": 318, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "RealGDP.nunique()" + ] + }, + { + "cell_type": "markdown", + "id": "4c1d3330", + "metadata": {}, + "source": [ + "# Task 2 - View the data\n", + "Obtain basic information about the data using the head() and info() method." + ] + }, + { + "cell_type": "markdown", + "id": "489b28aa", + "metadata": {}, + "source": [ + "# Viewing the separate external data and NCDC's data: Obtaining basic information about the data using the head() and info() method." + ] + }, + { + "cell_type": "code", + "execution_count": 319, + "id": "540f2dee", + "metadata": {}, + "outputs": [], + "source": [ + "covid_external = pd.read_csv('covid_external.csv')\n", + "Budget_data = pd.read_csv('Budget data.csv')\n", + "RealGDP = pd.read_csv('RealGDP.csv')\n", + "covidnig = pd.read_csv('covidnig.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": 320, + "id": "4cba08be", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      " + ], + "text/plain": [ + " states region Population Overall CCVI Index Age \\\n", + "0 FCT North Central 4865000 0.3 0.0 \n", + "1 Plateau North Central 4766000 0.4 0.5 \n", + "2 Kwara North Central 3524000 0.3 0.4 \n", + "3 Nassarawa North Central 2783000 0.1 0.3 \n", + "4 Niger North Central 6260000 0.6 0.0 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.9 0.4 0.6 0.9 \n", + "1 0.4 0.8 0.3 0.3 \n", + "2 0.3 0.2 0.4 0.2 \n", + "3 0.5 0.9 0.0 0.1 \n", + "4 0.6 0.3 0.7 0.1 \n", + "\n", + " Socio-Economic Transport Availability Acute IHR \n", + "0 0.6 0.2 0.79 \n", + "1 0.5 0.3 0.93 \n", + "2 0.6 0.7 0.93 \n", + "3 0.6 0.5 0.85 \n", + "4 0.8 0.8 0.84 " + ] + }, + "execution_count": 320, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covid_external.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 321, + "id": "520ff38f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 12 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 states 37 non-null object \n", + " 1 region 37 non-null object \n", + " 2 Population 37 non-null int64 \n", + " 3 Overall CCVI Index 37 non-null float64\n", + " 4 Age 37 non-null float64\n", + " 5 Epidemiological 37 non-null float64\n", + " 6 Fragility 37 non-null float64\n", + " 7 Health System 37 non-null float64\n", + " 8 Population Density 37 non-null float64\n", + " 9 Socio-Economic 37 non-null float64\n", + " 10 Transport Availability 37 non-null float64\n", + " 11 Acute IHR 37 non-null float64\n", + "dtypes: float64(9), int64(1), object(2)\n", + "memory usage: 3.6+ KB\n" + ] + } + ], + "source": [ + "covid_external.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 322, + "id": "4c915f29", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      statesInitial_budget (Bn)Revised_budget (Bn)
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      States AffectedNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of Deaths
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      1FCT96272840669493
      2Kaduna4504579387748
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      4Oyo3788368337446
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      " + ], + "text/plain": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 26708 2435 \n", + "1 FCT 9627 2840 \n", + "2 Kaduna 4504 579 \n", + "3 Plateau 4262 280 \n", + "4 Oyo 3788 368 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 24037 236 \n", + "1 6694 93 \n", + "2 3877 48 \n", + "3 3948 34 \n", + "4 3374 46 " + ] + }, + "execution_count": 327, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 328, + "id": "3aba9131", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 States Affected 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null object\n", + " 2 No. of Cases (on admission) 37 non-null object\n", + " 3 No. Discharged 37 non-null object\n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(1), object(4)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "covidnig.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 329, + "id": "41d9cc75", + "metadata": {}, + "outputs": [], + "source": [ + "# Converting NCDC's data into appropriate data type (from object to int)\n", + "newcovidnig = covidnig[['No. of Cases (Lab Confirmed)', 'No. of Cases (on admission)', 'No. Discharged']].columns\n", + "covidnig[newcovidnig] = covidnig[newcovidnig].apply(pd.to_numeric,errors='coerce')" + ] + }, + { + "cell_type": "code", + "execution_count": 330, + "id": "50f16e8a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 37 entries, 0 to 36\n", + "Data columns (total 5 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 States Affected 37 non-null object\n", + " 1 No. of Cases (Lab Confirmed) 37 non-null int64 \n", + " 2 No. of Cases (on admission) 37 non-null int64 \n", + " 3 No. Discharged 37 non-null int64 \n", + " 4 No. of Deaths 37 non-null int64 \n", + "dtypes: int64(4), object(1)\n", + "memory usage: 1.6+ KB\n" + ] + } + ], + "source": [ + "covidnig.info()" + ] + }, + { + "cell_type": "markdown", + "id": "fd53ebe2", + "metadata": {}, + "source": [ + "# Task 3 - Data Cleaning and Preparation" + ] + }, + { + "cell_type": "markdown", + "id": "9a6a4596", + "metadata": {}, + "source": [ + "From the information obtained above, you will need to fix the data format.\n", + "Examples:\n", + "\n", + ">Convert to appropriate data type.\n", + ">Rename the columns of the scraped data.\n", + ">Remove comma(,) in numerical data\n", + ">Extract daily data for Nigeria from the Global daily cases data" + ] + }, + { + "cell_type": "markdown", + "id": "5995394a", + "metadata": {}, + "source": [ + "TODO A - Clean the scraped data" + ] + }, + { + "cell_type": "code", + "execution_count": 331, + "id": "80bead0f", + "metadata": {}, + "outputs": [], + "source": [ + "#Data Cleaning and Preparation: Clean the scraped data\n", + "#Renaming columns of dataframe" + ] + }, + { + "cell_type": "code", + "execution_count": 332, + "id": "fb588afb", + "metadata": {}, + "outputs": [], + "source": [ + "#Renaming of columns of merged dataframe\n", + "combined_df.rename(columns = {'states':'State', 'region': 'Region', 'Initial_budget (Bn)': 'Initial Budget in Billion', 'Revised_budget (Bn)': 'Revised Budget in Billion', 'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths', 'Q1': 'First Quarter', 'Q2': 'Second Quarter', 'Q3': 'Third Quarter', 'Q4':'Fourth Quarter'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 333, + "id": "fd6cac5c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      StateRegionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-Economic...Unnamed: 0Number of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of DeathsYearFirst QuarterSecond QuarterThird QuarterFourth Quarter
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      1AdamawaNorth East4672000.00.80.50.60.90.70.30.7...28.01203.068.01103.032.0NaNNaNNaNNaNNaN
      2Akwa IbomSouth East6093000.00.70.80.70.60.80.80.5...11.04973.022.04907.044.0NaNNaNNaNNaNNaN
      3Akwa-IbomNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
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      " + ], + "text/plain": [ + " State Region Population Overall CCVI Index Age \\\n", + "0 Abia South East 4190000.0 0.2 0.9 \n", + "1 Adamawa North East 4672000.0 0.8 0.5 \n", + "2 Akwa Ibom South East 6093000.0 0.7 0.8 \n", + "3 Akwa-Ibom NaN NaN NaN NaN \n", + "4 Anambra South East 6050000.0 0.6 0.9 \n", + "\n", + " Epidemiological Fragility Health System Population Density \\\n", + "0 0.6 0.1 0.3 0.9 \n", + "1 0.6 0.9 0.7 0.3 \n", + "2 0.7 0.6 0.8 0.8 \n", + "3 NaN NaN NaN NaN \n", + "4 1.0 0.6 0.2 1.0 \n", + "\n", + " Socio-Economic ... Unnamed: 0 Number of Lab Confirmed Cases \\\n", + "0 0.2 ... 21.0 2239.0 \n", + "1 0.7 ... 28.0 1203.0 \n", + "2 0.5 ... 11.0 4973.0 \n", + "3 NaN ... NaN NaN \n", + "4 0.0 ... 16.0 2825.0 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \\\n", + "0 13.0 2192.0 34.0 \n", + "1 68.0 1103.0 32.0 \n", + "2 22.0 4907.0 44.0 \n", + "3 NaN NaN NaN \n", + "4 46.0 2760.0 19.0 \n", + "\n", + " Year First Quarter Second Quarter Third Quarter Fourth Quarter \n", + "0 NaN NaN NaN NaN NaN \n", + "1 NaN NaN NaN NaN NaN \n", + "2 NaN NaN NaN NaN NaN \n", + "3 NaN NaN NaN NaN NaN \n", + "4 NaN NaN NaN NaN NaN \n", + "\n", + "[5 rows x 24 columns]" + ] + }, + "execution_count": 333, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checking if renamig is successful\n", + "combined_df.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 334, + "id": "2e595642", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "State object\n", + "Region object\n", + "Population float64\n", + "Overall CCVI Index float64\n", + "Age float64\n", + "Epidemiological float64\n", + "Fragility float64\n", + "Health System float64\n", + "Population Density float64\n", + "Socio-Economic float64\n", + " Transport Availability float64\n", + "Acute IHR float64\n", + "Initial Budget in Billion float64\n", + "Revised Budget in Billion float64\n", + "Unnamed: 0 float64\n", + "Number of Lab Confirmed Cases float64\n", + "Number of Cases on Admission float64\n", + "Number of Cases Discharged float64\n", + "Number of Deaths float64\n", + "Year float64\n", + "First Quarter float64\n", + "Second Quarter float64\n", + "Third Quarter float64\n", + "Fourth Quarter float64\n", + "dtype: object" + ] + }, + "execution_count": 334, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Checking data tyoes in columns of merged dataframe\n", + "combined_df.dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 335, + "id": "37941bb4", + "metadata": {}, + "outputs": [], + "source": [ + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 336, + "id": "a3831d28", + "metadata": {}, + "outputs": [], + "source": [ + "# Saved global data from John Hopkin's repository" + ] + }, + { + "cell_type": "code", + "execution_count": 337, + "id": "dd04542b", + "metadata": {}, + "outputs": [], + "source": [ + "# Saved global data from John Hopkin's repository\n", + "JH_confirmed_global=confirmed_global\n", + "JH_deaths_global=covid19_deaths_global\n", + "JH_recovered_global=covid19_recovered_global" + ] + }, + { + "cell_type": "code", + "execution_count": 338, + "id": "928f0f66", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      ..................................................................
      200Cook IslandsNew Zealand-21.236700-159.777700000000...6265626562656265626562656265626562656265
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      203NaNNiger17.6077898.081666000000...9183918392039219925092639263926392639329
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      " + ], + "text/plain": [ + " Province/State Country/Region Lat Long 1/22/20 1/23/20 \\\n", + "0 NaN Afghanistan 33.939110 67.709953 0 0 \n", + "1 NaN Albania 41.153300 20.168300 0 0 \n", + "2 NaN Algeria 28.033900 1.659600 0 0 \n", + "3 NaN Andorra 42.506300 1.521800 0 0 \n", + "4 NaN Angola -11.202700 17.873900 0 0 \n", + ".. ... ... ... ... ... ... \n", + "200 Cook Islands New Zealand -21.236700 -159.777700 0 0 \n", + "201 NaN New Zealand -40.900600 174.886000 0 0 \n", + "202 NaN Nicaragua 12.865416 -85.207229 0 0 \n", + "203 NaN Niger 17.607789 8.081666 0 0 \n", + "204 NaN Nigeria 9.082000 8.675300 0 0 \n", + "\n", + " 1/24/20 1/25/20 1/26/20 1/27/20 ... 8/20/22 8/21/22 8/22/22 \\\n", + "0 0 0 0 0 ... 190435 190643 191040 \n", + "1 0 0 0 0 ... 325736 326077 326181 \n", + "2 0 0 0 0 ... 269731 269805 269894 \n", + "3 0 0 0 0 ... 45975 45975 45975 \n", + "4 0 0 0 0 ... 102636 102636 102636 \n", + ".. ... ... ... ... ... ... ... ... \n", + "200 0 0 0 0 ... 6265 6265 6265 \n", + "201 0 0 0 0 ... 1715165 1718009 1721836 \n", + "202 0 0 0 0 ... 14899 14899 14899 \n", + "203 0 0 0 0 ... 9183 9183 9203 \n", + "204 0 0 0 0 ... 262912 262912 262912 \n", + "\n", + " 8/23/22 8/24/22 8/25/22 8/26/22 8/27/22 8/28/22 8/29/22 \n", + "0 191247 191585 191967 191967 191967 192463 192906 \n", + "1 326787 327232 327607 327961 328299 328515 328571 \n", + "2 269971 270043 270097 270145 270175 270194 270235 \n", + "3 45975 46027 46027 46027 46027 46027 46027 \n", + "4 102636 102636 102636 102636 102636 102636 102636 \n", + ".. ... ... ... ... ... ... ... \n", + "200 6265 6265 6265 6265 6265 6265 6265 \n", + "201 1725110 1728018 1730494 1732765 1734157 1735902 1738492 \n", + "202 14899 14931 14931 14931 14931 14931 14931 \n", + "203 9219 9250 9263 9263 9263 9263 9329 \n", + "204 263090 263090 263322 263322 263407 263407 263407 \n", + "\n", + "[205 rows x 955 columns]" + ] + }, + "execution_count": 338, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#viewing basic information from John Hopkin's global data\n", + "JH_confirmed_global.head(n=205)" + ] + }, + { + "cell_type": "markdown", + "id": "cfee36c4", + "metadata": {}, + "source": [ + "TODO B - Get a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", + "\n", + "TODO C - Get a Pandas DataFrame for Daily Recovered Cases in Nigeria. Columns are Date and Cases\n", + "\n", + "TODO D - Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 339, + "id": "8ea0ac17", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases\n", + "# The data frames will be restructured to make data accessible and extractable. We restructure dataframe using pd.melt() and drop() method\n", + "JH_Daily_confirmed = pd.melt(JH_confirmed_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Confirmed Cases')" + ] + }, + { + "cell_type": "code", + "execution_count": 340, + "id": "b7c7345b", + "metadata": {}, + "outputs": [], + "source": [ + "# Still converting data tpe: Date column values is to be converted into standard Datetime format\n", + "JH_Daily_confirmed['Date'] = pd.to_datetime(JH_Daily_confirmed['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 341, + "id": "0f5ba3ca", + "metadata": {}, + "outputs": [], + "source": [ + "#delete other columns aside date and country/region using the drop()method\n", + "JH_Daily_Confirmeddf= JH_Daily_confirmed.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 342, + "id": "c1f8e51e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      4Angola2020-01-220
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      271030West Bank and Gaza2022-08-29698384
      271031Winter Olympics 20222022-08-29535
      271032Yemen2022-08-2911925
      271033Zambia2022-08-29332822
      271034Zimbabwe2022-08-29256704
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      " + ], + "text/plain": [ + " Country/Region Date Confirmed Cases\n", + "0 Afghanistan 2020-01-22 0\n", + "1 Albania 2020-01-22 0\n", + "2 Algeria 2020-01-22 0\n", + "3 Andorra 2020-01-22 0\n", + "4 Angola 2020-01-22 0\n", + "... ... ... ...\n", + "271030 West Bank and Gaza 2022-08-29 698384\n", + "271031 Winter Olympics 2022 2022-08-29 535\n", + "271032 Yemen 2022-08-29 11925\n", + "271033 Zambia 2022-08-29 332822\n", + "271034 Zimbabwe 2022-08-29 256704\n", + "\n", + "[271035 rows x 3 columns]" + ] + }, + "execution_count": 342, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking if the formatting of dataframe for global confirmed Cases is as expected\n", + "JH_Daily_Confirmeddf" + ] + }, + { + "cell_type": "code", + "execution_count": 343, + "id": "3906e952", + "metadata": {}, + "outputs": [], + "source": [ + "#Applying formatting tools used for global confirmed cases to Dataframe of global recoveries and Deaths\n", + "\n", + "JH_Daily_Recovery = pd.melt(JH_recovered_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Recovered Cases')\n", + "JH_Daily_Recovery['Date'] = pd.to_datetime(JH_Daily_Recovery['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 344, + "id": "f2abb71a", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Recoverydf= JH_Daily_Recovery.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 345, + "id": "e230f423", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Deaths = pd.melt(JH_deaths_global, id_vars=['Province/State','Country/Region','Lat', 'Long'], var_name='Date', value_name='Death Cases')\n", + "JH_Daily_Deaths['Date'] = pd.to_datetime(JH_Daily_Deaths['Date'])" + ] + }, + { + "cell_type": "code", + "execution_count": 346, + "id": "057b66ac", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Deathsdf= JH_Daily_Deaths.drop(['Province/State', 'Lat', 'Long'], axis=1, errors ='ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 347, + "id": "b0836c34", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting a Pandas DataFrame for Daily Confirmed Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 348, + "id": "e88a3fda", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_confirmed[JH_Daily_confirmed['Country/Region'] == 'Nigeria']" + ] + }, + { + "cell_type": "code", + "execution_count": 349, + "id": "2addb352", + "metadata": {}, + "outputs": [], + "source": [ + "JH_Daily_Confirmed_Nigeriadf= Nigeria[['Date', 'Confirmed Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 350, + "id": "d8573def", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      22020-01-240
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      42020-01-260
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      \n", + "

      951 rows × 2 columns

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      " + ], + "text/plain": [ + " Date Recovered Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "946 2022-08-25 0\n", + "947 2022-08-26 0\n", + "948 2022-08-27 0\n", + "949 2022-08-28 0\n", + "950 2022-08-29 0\n", + "\n", + "[951 rows x 2 columns]" + ] + }, + "execution_count": 354, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Recovery_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 355, + "id": "e1dd3a3d", + "metadata": {}, + "outputs": [], + "source": [ + "#Get a Pandas DataFrame for Daily Death Cases in Nigeria. Columns are Date and Cases" + ] + }, + { + "cell_type": "code", + "execution_count": 356, + "id": "f77a30c0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recovered Cases 39492087\n", + "dtype: int64" + ] + }, + "execution_count": 356, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Getting total recovered cases in Nigeria upto Aug. 2022\n", + "JH_Daily_Recovery_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 357, + "id": "d1ad4519", + "metadata": {}, + "outputs": [], + "source": [ + "Nigeria = JH_Daily_Deaths[JH_Daily_Deaths['Country/Region'] == 'Nigeria']\n", + "JH_Daily_DeathsNigeriadf= Nigeria[['Date', 'Death Cases']].reset_index(drop = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 358, + "id": "b411a9c2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Death Cases 1796429\n", + "dtype: int64" + ] + }, + "execution_count": 358, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Getting total Deaths status in Nigeria upto Aug. 2022\n", + "JH_Daily_DeathsNigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 359, + "id": "b8aaf40a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      DateDeath Cases
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      .........
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      951 rows × 2 columns

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      " + ], + "text/plain": [ + " Date Death Cases\n", + "0 2020-01-22 0\n", + "1 2020-01-23 0\n", + "2 2020-01-24 0\n", + "3 2020-01-25 0\n", + "4 2020-01-26 0\n", + ".. ... ...\n", + "946 2022-08-25 3148\n", + "947 2022-08-26 3148\n", + "948 2022-08-27 3148\n", + "949 2022-08-28 3148\n", + "950 2022-08-29 3148\n", + "\n", + "[951 rows x 2 columns]" + ] + }, + "execution_count": 359, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_DeathsNigeriadf" + ] + }, + { + "cell_type": "markdown", + "id": "d5019c67", + "metadata": {}, + "source": [ + "# Task 4 - Analysis" + ] + }, + { + "cell_type": "markdown", + "id": "34c9c7c3", + "metadata": {}, + "source": [ + "Here you will perform some analyses on the datasets. You are welcome to communicate findings in charts and summary.\n", + "We have included a few TODOs to help with your analysis. However, do not let this limit your approach, feel free to include more, and be sure to support your findings with chart and summary" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1988bee1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "6c7bced2", + "metadata": {}, + "source": [ + "TODO A - Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory test" + ] + }, + { + "cell_type": "code", + "execution_count": 360, + "id": "7b88cd24", + "metadata": {}, + "outputs": [], + "source": [ + "# To Generate a plot that shows the Top 10 states in terms of Confirmed Covid cases by Laboratory \n", + "#First renaming columns from original dataframe fro link (data cleaning)\n", + "covidnig\n", + "covidnig.rename(columns = {'No. of Cases (Lab Confirmed)': 'Number of Lab Confirmed Cases', 'No. of Cases (on admission)':'Number of Cases on Admission', 'No. Discharged': 'Number of Cases Discharged', 'No. of Deaths': 'Number of Deaths'}, inplace = True)" + ] + }, + { + "cell_type": "code", + "execution_count": 361, + "id": "9a1b289e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
      0Lagos26708243524037236
      1FCT96272840669493
      2Kaduna4504579387748
      3Plateau4262280394834
      4Oyo3788368337446
      5Rivers3279232298760
      6Edo2768522603113
      7Ogun2382174217533
      8Kano2032198177856
      9Delta184357173749
      10Ondo179362169041
      11Katsina1405214116724
      12Enugu137634132121
      13Kwara1296171109431
      14Gombe116418395031
      15Ebonyi109124103730
      16Abia9802594510
      17Osun9792093722
      18Bauchi89710877514
      19Borno7783770536
      20Imo7346166112
      21Nasarawa60026232513
      22Benue5154446011
      23Bayelsa4975542121
      24Ekiti405243756
      25Akwa Ibom395443429
      26Jigawa3865731811
      27Niger3816930012
      28Adamawa3559623821
      29Anambra299627419
      30Sokoto2284017117
      31Taraba203191777
      32Yobe164331238
      33Kebbi14351308
      34Cross River9318111
      35Zamfara791735
      36Kogi5032
      \n", + "
      " + ], + "text/plain": [ + " States Affected Number of Lab Confirmed Cases \\\n", + "0 Lagos 26708 \n", + "1 FCT 9627 \n", + "2 Kaduna 4504 \n", + "3 Plateau 4262 \n", + "4 Oyo 3788 \n", + "5 Rivers 3279 \n", + "6 Edo 2768 \n", + "7 Ogun 2382 \n", + "8 Kano 2032 \n", + "9 Delta 1843 \n", + "10 Ondo 1793 \n", + "11 Katsina 1405 \n", + "12 Enugu 1376 \n", + "13 Kwara 1296 \n", + "14 Gombe 1164 \n", + "15 Ebonyi 1091 \n", + "16 Abia 980 \n", + "17 Osun 979 \n", + "18 Bauchi 897 \n", + "19 Borno 778 \n", + "20 Imo 734 \n", + "21 Nasarawa 600 \n", + "22 Benue 515 \n", + "23 Bayelsa 497 \n", + "24 Ekiti 405 \n", + "25 Akwa Ibom 395 \n", + "26 Jigawa 386 \n", + "27 Niger 381 \n", + "28 Adamawa 355 \n", + "29 Anambra 299 \n", + "30 Sokoto 228 \n", + "31 Taraba 203 \n", + "32 Yobe 164 \n", + "33 Kebbi 143 \n", + "34 Cross River 93 \n", + "35 Zamfara 79 \n", + "36 Kogi 5 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", + "0 2435 24037 236 \n", + "1 2840 6694 93 \n", + "2 579 3877 48 \n", + "3 280 3948 34 \n", + "4 368 3374 46 \n", + "5 232 2987 60 \n", + "6 52 2603 113 \n", + "7 174 2175 33 \n", + "8 198 1778 56 \n", + "9 57 1737 49 \n", + "10 62 1690 41 \n", + "11 214 1167 24 \n", + "12 34 1321 21 \n", + "13 171 1094 31 \n", + "14 183 950 31 \n", + "15 24 1037 30 \n", + "16 25 945 10 \n", + "17 20 937 22 \n", + "18 108 775 14 \n", + "19 37 705 36 \n", + "20 61 661 12 \n", + "21 262 325 13 \n", + "22 44 460 11 \n", + "23 55 421 21 \n", + "24 24 375 6 \n", + "25 44 342 9 \n", + "26 57 318 11 \n", + "27 69 300 12 \n", + "28 96 238 21 \n", + "29 6 274 19 \n", + "30 40 171 17 \n", + "31 19 177 7 \n", + "32 33 123 8 \n", + "33 5 130 8 \n", + "34 1 81 11 \n", + "35 1 73 5 \n", + "36 0 3 2 " + ] + }, + "execution_count": 361, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "covidnig" + ] + }, + { + "cell_type": "code", + "execution_count": 362, + "id": "7dbfc744", + "metadata": {}, + "outputs": [], + "source": [ + "#Sorting top 10 states with highest lab confirmed cases by using df.sort_values()\n", + "\n", + "covidnig_lab10confirmed = covidnig.sort_values('Number of Lab Confirmed Cases', ascending = False)\n", + "covidnig_lab10confirmed = covidnig_lab10confirmed.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 363, + "id": "83f35642", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      States AffectedNumber of Lab Confirmed CasesNumber of Cases on AdmissionNumber of Cases DischargedNumber of Deaths
      0Lagos26708243524037236
      1FCT96272840669493
      2Kaduna4504579387748
      3Plateau4262280394834
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      \n", + "
      " + ], + "text/plain": [ + " States Affected Number of Lab Confirmed Cases \\\n", + "0 Lagos 26708 \n", + "1 FCT 9627 \n", + "2 Kaduna 4504 \n", + "3 Plateau 4262 \n", + "4 Oyo 3788 \n", + "5 Rivers 3279 \n", + "6 Edo 2768 \n", + "7 Ogun 2382 \n", + "8 Kano 2032 \n", + "9 Delta 1843 \n", + "\n", + " Number of Cases on Admission Number of Cases Discharged Number of Deaths \n", + "0 2435 24037 236 \n", + "1 2840 6694 93 \n", + "2 579 3877 48 \n", + "3 280 3948 34 \n", + "4 368 3374 46 \n", + "5 232 2987 60 \n", + "6 52 2603 113 \n", + "7 174 2175 33 \n", + "8 198 1778 56 \n", + "9 57 1737 49 " + ] + }, + "execution_count": 363, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#checking top 10 states\n", + "covidnig_lab10confirmed" + ] + }, + { + "cell_type": "code", + "execution_count": 364, + "id": "2d8a31e5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plotting top 10 states with corresponding confirmed cases\n", + "Top_10_covidngcases = sns.barplot(x='Number of Lab Confirmed Cases', y='States Affected', data=covidnig_lab10confirmed, color = 'blue').set_title('Top 10 covid cases in Nigerian States')\n" + ] + }, + { + "cell_type": "markdown", + "id": "1bb27389", + "metadata": {}, + "source": [ + "Lagos with the highest Confirmed covid case and Delta is with the lowest." + ] + }, + { + "cell_type": "code", + "execution_count": 365, + "id": "b92dd2a0", + "metadata": {}, + "outputs": [], + "source": [ + "#Generating a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values\n", + "covidnig_10Discharged = covidnig.sort_values('Number of Cases Discharged', ascending = False)\n", + "covidnig_10Discharged = covidnig_10Discharged.iloc[:10,]" + ] + }, + { + "cell_type": "markdown", + "id": "30a63c50", + "metadata": {}, + "source": [ + "TODO B - Generate a plot that shows the Top 10 states in terms of Discharged Covid cases. Hint - Sort the values" + ] + }, + { + "cell_type": "code", + "execution_count": 366, + "id": "a35d2c2c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "covid_disch_plot = sns.barplot(x='Number of Cases Discharged', y='States Affected', data=covidnig_10Discharged, color = 'blue').set_title('Top 10 covid Discharges')\n" + ] + }, + { + "cell_type": "markdown", + "id": "0ad7bc8a", + "metadata": {}, + "source": [ + "Lagos showing the highest number of discharges is because it has a high population figure, hihest number of confirmed cases and better health management system." + ] + }, + { + "cell_type": "markdown", + "id": "73ee3cb3", + "metadata": {}, + "source": [ + "TODO D - Plot the top 10 Death cases" + ] + }, + { + "cell_type": "code", + "execution_count": 367, + "id": "5d9f17bb", + "metadata": {}, + "outputs": [], + "source": [ + "#Plotting the top 10 Death cases" + ] + }, + { + "cell_type": "code", + "execution_count": 368, + "id": "ab31af8a", + "metadata": {}, + "outputs": [], + "source": [ + "#Generating a plot that shows the Top 10 states in terms of death cases. Hint - Sort the values\n", + "covidnig_10Deaths = covidnig.sort_values('Number of Deaths', ascending = False)\n", + "covidnig_10Deaths = covidnig_10Deaths.iloc[:10,]" + ] + }, + { + "cell_type": "code", + "execution_count": 369, + "id": "05873dbe", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "covidngdeaths_plot = sns.barplot(x='Number of Deaths', y='States Affected', data=covidnig_10Deaths, color = 'blue').set_title('Highest Death Cases')\n" + ] + }, + { + "cell_type": "markdown", + "id": "204b639c", + "metadata": {}, + "source": [ + "Lagos having the highest death cases also due to its high population and number of confirmed cases and death cases. It was the first to record its first in Nigeria. It is began to be the hottest spot before spreading nationwide. Lagos is the busiest point of transit during international travels, hence the reason why most inbound passanges had the largest confirmed cases that might have led to deaths. \n", + "\n", + "\n", + "The incidences thins out as we progress from Lagos, with Borno having the lowest death case. This may be attributed to the distance from the major hot spot, Lagos." + ] + }, + { + "cell_type": "code", + "execution_count": 370, + "id": "8dea2020", + "metadata": {}, + "outputs": [], + "source": [ + "#Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" + ] + }, + { + "cell_type": "code", + "execution_count": 371, + "id": "de574c85", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Lat 9.0820\n", + "Long 8.6753\n", + "1/22/20 0.0000\n", + "1/23/20 0.0000\n", + "1/24/20 0.0000\n", + " ... \n", + "8/25/22 263322.0000\n", + "8/26/22 263322.0000\n", + "8/27/22 263407.0000\n", + "8/28/22 263407.0000\n", + "8/29/22 263407.0000\n", + "Name: Nigeria, Length: 953, dtype: float64" + ] + }, + "execution_count": 371, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#extracting data for confirmed cases in Nigeria\n", + "confirmed_nig = JH_confirmed_global.groupby('Country/Region').sum().loc['Nigeria']\n", + "confirmed_nig" + ] + }, + { + "cell_type": "code", + "execution_count": 372, + "id": "eb9f4215", + "metadata": {}, + "outputs": [], + "source": [ + "TotalConfirmed=JH_Daily_Confirmed_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 373, + "id": "7658da46", + "metadata": {}, + "outputs": [], + "source": [ + "TotalRecoveries=JH_Daily_Recovery_Nigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 374, + "id": "1a7e95d0", + "metadata": {}, + "outputs": [], + "source": [ + "TotalDeaths = JH_Daily_DeathsNigeriadf.sum(axis=0)" + ] + }, + { + "cell_type": "code", + "execution_count": 375, + "id": "30b584e7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Confirmed Cases 137227285\n", + "dtype: int64" + ] + }, + "execution_count": 375, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalConfirmed" + ] + }, + { + "cell_type": "code", + "execution_count": 376, + "id": "9a3442af", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Recovered Cases 39492087\n", + "dtype: int64" + ] + }, + "execution_count": 376, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalRecoveries" + ] + }, + { + "cell_type": "code", + "execution_count": 377, + "id": "43abaae9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Death Cases 1796429\n", + "dtype: int64" + ] + }, + "execution_count": 377, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "TotalDeaths" + ] + }, + { + "cell_type": "code", + "execution_count": 378, + "id": "b03e0e6d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      total
      Confirmed Cases136963878
      Recovered Cases39492087
      Death Cases1793281
      \n", + "
      " + ], + "text/plain": [ + " total\n", + "Confirmed Cases 136963878\n", + "Recovered Cases 39492087\n", + "Death Cases 1793281" + ] + }, + "execution_count": 378, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Getting a dataframe for total daily cases\n", + "z = np.array([136963878, 39492087, 1793281])\n", + "df2 = pd.DataFrame(z, columns=['total'], index=[\"Confirmed Cases\", \"Recovered Cases\", \"Death Cases\"])\n", + "df2" + ] + }, + { + "cell_type": "markdown", + "id": "2ad89fb5", + "metadata": {}, + "source": [ + "TODO E - Generate a line plot for the total daily confirmed, recovered and death cases in Nigeria" + ] + }, + { + "cell_type": "code", + "execution_count": 379, + "id": "c134d84c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Confirmed Cases')" + ] + }, + "execution_count": 379, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for confirmed cases in Nigeria using seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Confirmed_Nigeriadf , x = 'Date', y = 'Confirmed Cases').set_title('Daily Total Confirmed Cases')" + ] + }, + { + "cell_type": "markdown", + "id": "01e89bf7", + "metadata": {}, + "source": [ + "The apparent increase in daily confirmed cases are cummulative values, with brief periods of unchanging records" + ] + }, + { + "cell_type": "code", + "execution_count": 380, + "id": "fb51b47b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Recoveries')" + ] + }, + "execution_count": 380, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for Recovered cases in Nigeria using seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_Recovery_Nigeriadf , x = 'Date', y = 'Recovered Cases').set_title('Daily Total Recoveries')" + ] + }, + { + "cell_type": "markdown", + "id": "d65ffa95", + "metadata": {}, + "source": [ + "Increased daily recovery cases were recorded. \n", + "\n", + "These records again were cummulative values. \n", + "\n", + "No record of recovery in Nigeria was recorded from 2021-09 because only death cases were recorded as cummulative confirmed cases increased as time of data retrieval on 29th August, 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 381, + "id": "1d7714f6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Total Deaths')" + ] + }, + "execution_count": 381, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting daily data for death cases in Nigeria using a seaborn's line plot\n", + "plt.figure(figsize = (10,5))\n", + "sns.lineplot(data = JH_Daily_DeathsNigeriadf, x = 'Date', y = 'Death Cases').set_title('Daily Total Deaths')" + ] + }, + { + "cell_type": "markdown", + "id": "906c6d18", + "metadata": {}, + "source": [ + "Record for daily total deaths were cummulatively increasing with intervals of unchanging records as at the time of data retrieval on 29th August, 2022." + ] + }, + { + "cell_type": "markdown", + "id": "104f09fa", + "metadata": {}, + "source": [ + "# TODO F -\n", + "\n", + ">Determine the daily infection rate, you can use the Pandas diff method to find the derivate of the total cases.\n", + ">Generate a line plot for the above" + ] + }, + { + "cell_type": "code", + "execution_count": 382, + "id": "d57cb913", + "metadata": {}, + "outputs": [], + "source": [ + "#Determine the daily infection rate, using the Pandas diff method to find the derivate of the total cases.\n", + "JH_Daily_Confirmed_Nigeriadf['Infection Rate'] = JH_Daily_Confirmed_Nigeriadf['Confirmed Cases'].diff()" + ] + }, + { + "cell_type": "markdown", + "id": "d8a84cce", + "metadata": {}, + "source": [ + "# TODO J -\n", + "\n", + ">Provide more analyses by extending TODO G & H. Meaning, determine relationships between more features.\n", + ">Provide a detailed summary of your findings." + ] + }, + { + "cell_type": "code", + "execution_count": 383, + "id": "2e78df9a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      DateConfirmed CasesInfection Rate
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      \n", + "
      " + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "0 2020-01-22 0 NaN\n", + "1 2020-01-23 0 0.0\n", + "2 2020-01-24 0 0.0\n", + "3 2020-01-25 0 0.0\n", + "4 2020-01-26 0 0.0\n", + ".. ... ... ...\n", + "946 2022-08-25 263322 232.0\n", + "947 2022-08-26 263322 0.0\n", + "948 2022-08-27 263407 85.0\n", + "949 2022-08-28 263407 0.0\n", + "950 2022-08-29 263407 0.0\n", + "\n", + "[951 rows x 3 columns]" + ] + }, + "execution_count": 383, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Checking if new data has been created\n", + "JH_Daily_Confirmed_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 384, + "id": "edf41ce5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 384, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Generating a line plot for daily infection rate in Nigeria from global data\n", + "plt.figure(figsize = (20,10))\n", + "sns.lineplot(x = 'Date', y = 'Infection Rate', data = JH_Daily_Confirmed_Nigeriadf)" + ] + }, + { + "cell_type": "markdown", + "id": "3aa2ff9d", + "metadata": {}, + "source": [ + "# TODO G -\n", + "\n", + ">Calculate maximum infection rate for a day (Number of new cases)\n", + ">Find the date" + ] + }, + { + "cell_type": "code", + "execution_count": 385, + "id": "a46fdc9c", + "metadata": {}, + "outputs": [], + "source": [ + "#Calculating maximum infection rate for a day (Number of new cases)\n", + "#Find the date\n", + "Highest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].max()" + ] + }, + { + "cell_type": "code", + "execution_count": 386, + "id": "8baf6f59", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "6158.0" + ] + }, + "execution_count": 386, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Highest_infection_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 387, + "id": "d0baa6e0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      DateConfirmed CasesInfection Rate
      7002021-12-222314136158.0
      \n", + "
      " + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "700 2021-12-22 231413 6158.0" + ] + }, + "execution_count": 387, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == 6158.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 388, + "id": "fe6fc629", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-30.0" + ] + }, + "execution_count": 388, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Calculating minimum infection rate for a day (Number of new cases)\n", + "Lowest_infection_rate=JH_Daily_Confirmed_Nigeriadf['Infection Rate'].min()\n", + "Lowest_infection_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 389, + "id": "39a3618a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      DateConfirmed CasesInfection Rate
      8122022-04-13255633-30.0
      \n", + "
      " + ], + "text/plain": [ + " Date Confirmed Cases Infection Rate\n", + "812 2022-04-13 255633 -30.0" + ] + }, + "execution_count": 389, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date for minimum infection rate\n", + "JH_Daily_Confirmed_Nigeriadf[JH_Daily_Confirmed_Nigeriadf['Infection Rate'] == -30.0]" + ] + }, + { + "cell_type": "markdown", + "id": "4adb27f6", + "metadata": {}, + "source": [ + "# TODO H - Determine the relationship between the external dataset and the NCDC COVID-19 dataset. Here you will generate a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. From the graph, explain your observation.\n", + "Steps\n", + "\n", + ">Combine the two dataset together on a common column(states)\n", + ">Create a new dataframe for plotting. This DataFrame will contain top 10 states in terms of confirmed cases i.e sort by confirmed cases. Hint: Check out Pandas nlargest function. This tutorial can help out\n", + ">Plot both variable on the same axis. Check out this tutorial" + ] + }, + { + "cell_type": "code", + "execution_count": 390, + "id": "c3bba6f9", + "metadata": {}, + "outputs": [], + "source": [ + "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset. \n", + "# Will generate and explain a line plot of top 10 confirmed cases and the overall community vulnerability index on the same axis. " + ] + }, + { + "cell_type": "code", + "execution_count": 391, + "id": "a9211792", + "metadata": {}, + "outputs": [], + "source": [ + "#Combine the two dataset together on a common column(states)\n", + "NCDC_external = ncdcdata_rn.merge(covid_external, on = 'states', how = 'inner')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 392, + "id": "609028d1", + "metadata": {}, + "outputs": [], + "source": [ + "#Obtain top 10 Lab confirmed cases fro external data using df.nlargest()\n", + "Top10_NCDC_external = NCDC_external.nlargest(10, 'No. of Cases (Lab Confirmed)')" + ] + }, + { + "cell_type": "code", + "execution_count": 393, + "id": "9582ba5f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      Unnamed: 0statesNo. of Cases (Lab Confirmed)No. of Cases (on admission)No. DischargedNo. of DeathsregionPopulationOverall CCVI IndexAgeEpidemiologicalFragilityHealth SystemPopulation DensitySocio-EconomicTransport AvailabilityAcute IHR
      00Lagos1031452102372771South West139920000.00.11.00.30.11.00.10.40.93
      11FCT2916112028792249North Central48650000.30.00.90.40.60.90.60.20.79
      22Rivers1775518017420155South South77630000.40.50.90.60.60.90.10.11.00
      33Kaduna11487201137889North West92270000.70.10.90.80.90.40.60.40.86
      44Oyo10328210124202South West87370000.20.70.80.20.80.60.20.31.06
      55Plateau10309271020775North Central47660000.40.50.40.80.30.30.50.30.93
      66Edo78211027398321South South47050000.10.90.80.10.10.50.40.31.09
      77Ogun581011571782South West58780000.30.60.70.50.60.60.00.21.07
      88Delta56533715170112South South63030000.40.60.70.21.00.60.50.41.08
      99Kano5186505009127North West147260000.60.20.10.30.40.80.80.50.87
      \n", + "
      " + ], + "text/plain": [ + " Unnamed: 0 states No. of Cases (Lab Confirmed) \\\n", + "0 0 Lagos 103145 \n", + "1 1 FCT 29161 \n", + "2 2 Rivers 17755 \n", + "3 3 Kaduna 11487 \n", + "4 4 Oyo 10328 \n", + "5 5 Plateau 10309 \n", + "6 6 Edo 7821 \n", + "7 7 Ogun 5810 \n", + "8 8 Delta 5653 \n", + "9 9 Kano 5186 \n", + "\n", + " No. of Cases (on admission) No. Discharged No. of Deaths region \\\n", + "0 2 102372 771 South West \n", + "1 120 28792 249 North Central \n", + "2 180 17420 155 South South \n", + "3 20 11378 89 North West \n", + "4 2 10124 202 South West \n", + "5 27 10207 75 North Central \n", + "6 102 7398 321 South South \n", + "7 11 5717 82 South West \n", + "8 371 5170 112 South South \n", + "9 50 5009 127 North West \n", + "\n", + " Population Overall CCVI Index Age Epidemiological Fragility \\\n", + "0 13992000 0.0 0.1 1.0 0.3 \n", + "1 4865000 0.3 0.0 0.9 0.4 \n", + "2 7763000 0.4 0.5 0.9 0.6 \n", + "3 9227000 0.7 0.1 0.9 0.8 \n", + "4 8737000 0.2 0.7 0.8 0.2 \n", + "5 4766000 0.4 0.5 0.4 0.8 \n", + "6 4705000 0.1 0.9 0.8 0.1 \n", + "7 5878000 0.3 0.6 0.7 0.5 \n", + "8 6303000 0.4 0.6 0.7 0.2 \n", + "9 14726000 0.6 0.2 0.1 0.3 \n", + "\n", + " Health System Population Density Socio-Economic Transport Availability \\\n", + "0 0.1 1.0 0.1 0.4 \n", + "1 0.6 0.9 0.6 0.2 \n", + "2 0.6 0.9 0.1 0.1 \n", + "3 0.9 0.4 0.6 0.4 \n", + "4 0.8 0.6 0.2 0.3 \n", + "5 0.3 0.3 0.5 0.3 \n", + "6 0.1 0.5 0.4 0.3 \n", + "7 0.6 0.6 0.0 0.2 \n", + "8 1.0 0.6 0.5 0.4 \n", + "9 0.4 0.8 0.8 0.5 \n", + "\n", + " Acute IHR \n", + "0 0.93 \n", + "1 0.79 \n", + "2 1.00 \n", + "3 0.86 \n", + "4 1.06 \n", + "5 0.93 \n", + "6 1.09 \n", + "7 1.07 \n", + "8 1.08 \n", + "9 0.87 " + ] + }, + "execution_count": 393, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Top10_NCDC_external" + ] + }, + { + "cell_type": "code", + "execution_count": 394, + "id": "9a6421b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2-axis plotting to establish relationship between overal CCVI index and Lab confirmed cases \n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['No. of Cases (Lab Confirmed)'])\n", + "ax1.set_ylabel('No. of Cases (Lab Confirmed)')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'r-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='r')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('r')\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "bffcdf76", + "metadata": {}, + "source": [ + "General progression of relationsip between number of confirmed cases and OCCVI for the top 10 states shows an inverse correlation. Southern States like Lagos were not severely impacted by COVID-19 crisis. Northern States showed that they were worst hit by the effect of COVID-19.\n", + "\n", + "Lagos with the highest No of confirmed cases still has the lowest vulnerability index. Conversely however, Kaduna, Kano and Plateau with relatively lower confirmed cases showed higher overall CCVI index respectively, with Kano recording the overall lowest confirmed cases and Kaduna with the overall highest OCCVI. States like Rivers, Oyo, Edo, Ogun and Delta showed lower confirmed cases and corresponding OCCVI.\n", + "\n", + "This observation might suggest that Southern States like Lagos were not severely impacted by COVID-19 crisis due to some factors like education, infrastructure and stronger economy of which most northern states are challenged with.\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 395, + "id": "6a1cf186", + "metadata": {}, + "outputs": [], + "source": [ + "#Further Analysis" + ] + }, + { + "cell_type": "code", + "execution_count": 396, + "id": "729ce8f8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 2-axis plotting to establish relationship between overal CCVI index and Socio-Economic index\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Socio-Economic'])\n", + "ax1.set_ylabel('Socio-Economic')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'g-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='g')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('g')" + ] + }, + { + "cell_type": "markdown", + "id": "749e0d26", + "metadata": {}, + "source": [ + "Low Socio-economic index reflects the social and economic empowerments such as lower poverty rate, access to information, education and employment, higher index indicates high poverty, illiteracy e.t.c\n", + "\n", + "With the exception of Delta, most southern states have lower Socio-economic index than northern states with Lagos and Ogun showing the lowest.\n", + "\n", + "With Kaduna and Kano again with the highest OCCVI, Kaduna's lower Socio-economic index is the same as Lagos while Kano has the highest Socio-economic index. \n", + "\n", + "Lagos shows low Socio-economic index with also a correspondingly low overall OCCVI.\n", + "\n", + "Rivers had high Socio-economic index but high OCCVI index.\n", + "\n", + "Both indices are virtually the same for Oyo state, while Edo showed lower OCCVI with high OCCVI.\n", + "\n", + "Both indices are roughly the same for Delta and Plateau.\n", + "\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 397, + "id": "03328e1e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#2-axis plotting to establish relationship between overal CCVI index and Acute IHR Index.\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Acute IHR'])\n", + "ax1.set_ylabel('Acute IHR')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'y-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='y')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('y')" + ] + }, + { + "cell_type": "markdown", + "id": "ceca7d9a", + "metadata": {}, + "source": [ + "Inverse correlation between Overall CCVI index and Acute IHR were observed in all top 10 states. \n", + "\n", + "All Southern states have higher Acute IHR and corresponding low Overall CCVI, while northern states (Kaduna, Plataeu and Kano) showed lower Acute IHR and correspondingly higher Overall CCVI index. \n", + "\n", + "Plateau State apparently appears in between the situation with northern and southern states. Lagos has the lowest Overall CCVI with its corresponding high Acute IHR, while Kaduna has the highest Overall CCVI index with its corresponding Acute IHR index.\n", + "\n", + "Thsese observation suggests that the impact of covid crisis cannot be traced to Acute IHR alone." + ] + }, + { + "cell_type": "code", + "execution_count": 398, + "id": "e2b86b77", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#2-axis plotting to establish relationship between overal CCVI index and Fragility index.\n", + "fig = plt.figure(figsize = (10,5))\n", + "ax1 = fig.add_subplot(1,1,1)\n", + "ax1.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Fragility'])\n", + "ax1.set_ylabel('Fragility')\n", + "\n", + "ax2 = ax1.twinx()\n", + "ax2.plot(Top10_NCDC_external['states'], Top10_NCDC_external['Overall CCVI Index'], 'b-')\n", + "ax2.set_ylabel('Overall CCVI Index', color='b')\n", + "for tl in ax2.get_yticklabels():\n", + " tl.set_color('b')\n" + ] + }, + { + "cell_type": "markdown", + "id": "1a6aaf93", + "metadata": {}, + "source": [ + "Fragility indices tend to correlate inversely with overall CCVI index. Subfactors considered for fragility index include: Population of concern sites, Food insecurity, Civil Unrest, e.t.c. Northern states (Kaduna, FCT, Plateau) tend to have high fragility score but only Kaduna and FCT show that their Overall CCVI index is traceable to their corresponding high fragility index. The same cannot be said about Kano and plateau.\n", + "\n", + "Southern states with comparatively lower fragility index (Edo having the lowest), have slightly higher corresponding Overall CCVI score except for Lagos which shows the overall low fragility score but slightly higher fragility score. \n", + "\n", + "Summarily, the direct correlation in only two northern states (Kaduna and FCT) demonstrates that vulnerability to the covid crisis is indeed tied to fragility scores, while the vulnerability may not be associated to fragility for the others in the top ten states.\n" + ] + }, + { + "cell_type": "markdown", + "id": "8d262114", + "metadata": {}, + "source": [ + "TODO I - Determine the relationship between the external dataset and the NCDC COVID-19 dataset.\n", + "\n", + ">Here you will generate a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", + ">Provide a summary of your observation" + ] + }, + { + "cell_type": "markdown", + "id": "1b05f7bd", + "metadata": {}, + "source": [ + "# Determining the relationship between the external dataset and the NCDC COVID-19 dataset.\n", + "\n", + "#Generating a regression plot between two variables to visualize the linear relationships - Confirmed Cases and Population Density. Hint: Check out Seaborn Regression Plot.\n", + "\n", + "#Also will Provide a summary of observation" + ] + }, + { + "cell_type": "code", + "execution_count": 399, + "id": "79236f5a", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Regression plot between Confirmed cases population density of top 10 states.\n", + "# regplot\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=Top10_NCDC_external).set_title('Confirmed Cases and Population Density for top 10 states')" + ] + }, + { + "cell_type": "markdown", + "id": "eaf3d582", + "metadata": {}, + "source": [ + "For the top ten (10) highest confirmed cases, it is generally observed that only a few states there tend to have higher incidences of confirmed cases as population density tend to increase. However, many outliers (exception to this case) exists: There are three occurences which are above the common distribution value across states and there are five occurences which are below the common distribution value in states of various population densities. \n", + "\n", + "This shows that number of cases confirmed for those three ocuurences above the trendline are associated with higher number of confirmed cases and lower population densities. The five occurences demonstrates that lower records of confirmed cases are associated with higher popullation densities.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 400, + "id": "6faecbce", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Regression Plot for Lab confirmed cases vs population density for all states\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Population Density\", y=\"No. of Cases (Lab Confirmed)\", data=NCDC_external).set_title('Confirmed Cases and Population Density for all States')" + ] + }, + { + "cell_type": "markdown", + "id": "2e596b41", + "metadata": {}, + "source": [ + "The general trend for all states indicates that lower record of Lab confirmed cases is associated with higher population densities across all states. The many outliers below the trend line indicates this." + ] + }, + { + "cell_type": "code", + "execution_count": 401, + "id": "96eb987a", + "metadata": {}, + "outputs": [], + "source": [ + "# Further analysis on other indicators: Recovery rate\n", + "JH_Daily_Recovery_Nigeriadf['Recovery Rate'] = JH_Daily_Recovery_Nigeriadf['Recovered Cases'].diff()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 402, + "id": "a243f893", + "metadata": {}, + "outputs": [], + "source": [ + "# Further analysis on other indicators: Death rate\n", + "JH_Daily_DeathsNigeriadf['Death Rate'] = JH_Daily_DeathsNigeriadf['Death Cases'].diff()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 403, + "id": "cb091148", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Recovery Rate in Nigeria')" + ] + }, + "execution_count": 403, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Further analysis on other indicators: lineplot of Recovery rate \n", + "plt.figure(figsize = (20,10))\n", + "sns.lineplot(x = 'Date', y = 'Recovery Rate', data = JH_Daily_Recovery_Nigeriadf).set_title('Daily Recovery Rate in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "544b3271", + "metadata": {}, + "source": [ + "The highest recorded rate of recovery of 11188.0 was made on 2020-08-04 while the lowest was -165208.0 on 2021-08-05." + ] + }, + { + "cell_type": "code", + "execution_count": 404, + "id": "9f6df269", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      DateRecovered CasesRecovery Rate
      02020-01-220NaN
      12020-01-2300.0
      22020-01-2400.0
      32020-01-2500.0
      42020-01-2600.0
      ............
      9462022-08-2500.0
      9472022-08-2600.0
      9482022-08-2700.0
      9492022-08-2800.0
      9502022-08-2900.0
      \n", + "

      951 rows × 3 columns

      \n", + "
      " + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "0 2020-01-22 0 NaN\n", + "1 2020-01-23 0 0.0\n", + "2 2020-01-24 0 0.0\n", + "3 2020-01-25 0 0.0\n", + "4 2020-01-26 0 0.0\n", + ".. ... ... ...\n", + "946 2022-08-25 0 0.0\n", + "947 2022-08-26 0 0.0\n", + "948 2022-08-27 0 0.0\n", + "949 2022-08-28 0 0.0\n", + "950 2022-08-29 0 0.0\n", + "\n", + "[951 rows x 3 columns]" + ] + }, + "execution_count": 404, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "JH_Daily_Recovery_Nigeriadf" + ] + }, + { + "cell_type": "code", + "execution_count": 405, + "id": "d727aa53", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "11188.0" + ] + }, + "execution_count": 405, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Highest recovery rate\n", + "Highest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].max()\n", + "Highest_recovery_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 406, + "id": "dc8e69c8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      DateRecovered CasesRecovery Rate
      1952020-08-043185111188.0
      \n", + "
      " + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "195 2020-08-04 31851 11188.0" + ] + }, + "execution_count": 406, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == 11188.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 407, + "id": "e315403a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-165208.0" + ] + }, + "execution_count": 407, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lowest_recovery_rate=JH_Daily_Recovery_Nigeriadf['Recovery Rate'].min()\n", + "Lowest_recovery_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 408, + "id": "f911ea90", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      DateRecovered CasesRecovery Rate
      5612021-08-050-165208.0
      \n", + "
      " + ], + "text/plain": [ + " Date Recovered Cases Recovery Rate\n", + "561 2021-08-05 0 -165208.0" + ] + }, + "execution_count": 408, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "\n", + "JH_Daily_Recovery_Nigeriadf[JH_Daily_Recovery_Nigeriadf['Recovery Rate'] == -165208.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 409, + "id": "a02231ee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Daily Death Rate in Nigeria')" + ] + }, + "execution_count": 409, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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++eUXAM5rT8uhUCgwcOBAHDlyBMuXL8cll1yCli1b1uEdXLBs2TIsX74cjRo1wl133WV9fPDgwQCAmTNnWtOrAUCj0eC9997D119/bZ2T7en7thRqq83c5bqIiIjAa6+9BpVKhZ9//hl79+4FYE7vVqlUqKiosFvqTK/X47333oPJZHLqt4iICLv2R0VF4cYbb8TJkyed0vazs7MxY8YMLFmyBA0aNPDhO/RcQkICxo0bBwCiN1sc3XrrrQCAOXPm2I145+Tk4Ndff7XbtmvXrmjWrBmWL1/uFNwvXrwYX331FXbv3l2rGzIxMTEwmUxOxfG+++47a22C2nzXiIjI+5iCTkREsvz111/Wed6AeZ7vkSNHkJWVBYVCgVdffRWdOnWyPj9gwAB88803+OCDD7Bnzx6kp6fj+PHj2LJlC5KSkqDVaj1aB9zWoEGD8MUXX+Ds2bN44IEHPP77xYsXW0d1TSYTysrK8O+//+LIkSNITU3F9OnT7VKyu3fvjvvuuw/ffvsthg8fjmuvvRbR0dHYuHEj8vLycNNNN1mrk3v6vi3LqS1cuBBHjx51qhruS+3bt8fw4cPx7bff4q233sLXX3+NmJgY9O/fH3/++ScefvhhXH311dBqtdi0aRPy8/ORlJSEsrIyVFVVIT4+3voezpw5g3feeQfdunXDwIEDMXbsWOzduxcff/wxNm3ahM6dO6OkpATr1q2DyWTCq6++ald5PVj0798f1113HdatW+d2286dO+Puu+/GDz/8gPvvvx+9evVCZWUl1q1bh7i4OFRVVVmzH1QqFSZOnIixY8fiiSeeQO/evdGsWTMcOXIE27ZtQ1paGp577rlatXngwIHYt28fHn/8cVx//fWIiorCv//+i+zsbKSmpqKkpKTW3zUiIvIuBuBERCTLxo0bsXHjRuu/o6Oj0bhxY9x666245557nAp5tW/fHjNnzsS8efPw999/Q6FQoEmTJhg5ciSGDx+OwYMHY9u2bbVqS4sWLdC+fXscO3YMN9xwg8d/v3jxYuv/VygUiIuLQ/PmzTFy5Ejcc889SElJcfqbZ599Fh06dMCSJUuwevVqKBQKNG/eHA888ACGDh1qHbn09H1ff/312Lp1KzZu3Igff/wRV155pWj1c195/PHHsX79ehw/fhxffvklHn30Ubz66qto1KgR1q9fjx9//BGpqalo27YtJk2ahH/++Qfz58/Htm3brOuWjxs3DtOmTcPy5cuRl5eHgQMHIjk5GZ9//jkWLlyIv/76Cz/88AOSkpJw1VVXYeTIkbLX6g6EF198ETt37rQrrCfl+eefR/PmzfHzzz/j119/RUpKCh588EEkJSXhgw8+sKsY36VLFyxcuBCff/45duzYgc2bN6NRo0a44447MHLkyFpVhAeAO++8E4A5tX/ZsmVISEhAs2bN8MYbbyAzMxOjR4/Gtm3b0Lt371rtn4iIvEehVqtZFpOIiEJKTU0NBg4ciKuuugrvvfdeoJtD9VRRUREiIiKsS8PZmjdvHhYsWIAvvvgiqG82EBGRf3EOOBERhZyvv/4a1dXVGDp0aKCbQvXYqlWrcOONN+Knn36ye7ykpATLly9HgwYN0K5duwC1joiIghFHwImIKGQ8/vjjKCoqwunTp9G5c2d89tlnAasiTpSfn4/7778fVVVV6N27N1q2bImysjJs2LABZWVlmDRpEm666aZAN5OIiIII54ATEVHISE5OxoEDB3DFFVdg4sSJDL4poBo3boyFCxdi0aJF2LFjB7Zs2YL4+HhccskleOCBB9C9e/dAN5GIiIIMR8CJiIiIiIiI/IBzwImIiIiIiIj8gAE4ERERERERkR8wACciIiIiIiLyAwbgDnJycgLdBPIQ+yx0se9CE/sttLC/QhP7LTSx30IL+yt0hXLfMQAnIiIiIiIi8gMG4ERERERERER+wACciIiIiIiIyA8YgBMRERERERH5AQNwIiIiIiIiIj9gAE5ERERERETkBwzAiYiIiIiIiPyAATgRERERERGRHzAAJyIiIgognVHA6I0laPZVHob/UYQynSnQTSIiIh9hAE5EREQUQGvOaLD4aA0qDQJWn9HiuyPVgW4SERH5CANwIiIiogB6aZva7t8vby8LTEOIiMjnGIATERERBZBJCHQLiIjIXxiAExEREQUQ428iovqDATgRERFRADEAJyKqPxiAExEREQWQwAiciKjeYABOREREFECMv4mI6g8G4EREREQBxBFwIqL6gwE4ERERUQAx/iYiqj8YgBMREREFkMAQnIio3mAATkRERBRATEEnIqo/GIATERERBRDjbyKi+oMBOBEREVEAMQAnIqo/GIATERERBRIjcCKieoMBOBEREVEAmRiAExHVGwzAiYiIiAKI8TcRUf3BAJyIiIgogBiAExHVHwzAiYiIiAKIy5AREdUfDMCJiIiIAkjgGDgRUb3BAJyIiIgogBh+ExHVHwzAiYiIiAKIKehERPUHA3AiIiKiAGL8TURUfzAAJyIiIgogjoATEdUfDMCJiIiIAojxNxFR/cEAnIiIiCiAGIATEdUfDMCJiIiIAogp6ERE9QcDcCIiIqIAYvxNRFR/MAAnIiIiIiIi8gMG4ERERERERER+wACciIiIKIgoFYFuARER+QoDcCIiIqIgwvibiCh8+T0ALy8vxxtvvIEBAwZg0KBB+Oijj2A0GgEAZ8+exdNPP40+ffrg7rvvxpYtW/zdPCIiIqKAYgBORBS+/B6AT506FQUFBZg7dy4mTZqE3377Dd9++y0EQcCLL76IpKQkLFy4EIMGDcL48eORm5vr7yYSERERBYyCETgRUdiK8PcLbt68GW+++SbatGkDALjpppuwc+dOdOjQAadOncK8efMQHx+P1q1bY8eOHVi2bBnGjBnj72YSERERBQTjbyKi8OX3EfCkpCSsWrUKGo0GhYWF2Lp1Kzp06IDs7Gy0b98e8fHx1m27du2Kffv2+buJRERERAHDEXAiovDl9wB8/PjxyMrKQr9+/TBo0CA0bNgQjz32GIqKipCenm63bWpqKgoKCvzdRCIiIqKAYfxNRBS+/J6Cfvr0aVx88cV49NFHUVVVhffffx+zZ8+GRqNBZGSk3bZRUVHQ6/WS+8rJyfFJG321X/Id9lnoYt+FJvZbaGF/Bbs4u38JggCA/Raq2G+hhf0VuoK179q1a+fyeb8G4GfOnMGMGTPw66+/onHjxgCAV199FU8//TRuu+02VFVV2W2v0+kQExMjuT93b642cnJyfLJf8h32Wehi34Um9ltoYX+FgE32BWdVSnOCIvst9PD7FlrYX6ErlPvOrynoBw8eRFxcnDX4BoAOHTrAaDQiLS0NxcXFdtuXlJSgYcOG/mwiERERUUD5fX4gERH5jV/P8enp6aioqEB+fr71sRMnTgAAWrZsicOHD6Ompsb63J49e9C5c2d/NpGIiIgooFiEjYgofPk1AO/cuTPat2+PyZMnIycnB/v27cPbb7+NgQMH4rrrrkNGRgYmTZqEo0eP4ssvv0R2djaGDh3qzyYSERERBRTjbyKi8OXXADwiIgIzZsxAgwYN8MQTT2D8+PHo3r07JkyYAJVKhWnTpqG0tBQjRozAypUrMXXqVGRmZvqziURERESBxQiciChs+b0Kenp6Ot555x3R55o3b465c+f6uUVEREREwYPxNxFR+GKdDyIiIqIgwgCciCh8MQAnIiIiCiIswkZEFL4YgBMREREFEQXHwImIwhYDcCIiIqIgwvCbiCh8MQAnIiIiCiJMQSciCl8MwImIiIiCCONvIqLwxQCciIiIKIhwBJyIKHwxACciIiIKIrw4IyIKXzzHExEREQURjoATEYUvBuBEREREQYTxNxFR+GIATkRERBREuA44EVH4YgBOREREFESYgk5EFL4YgBMRERERERH5AQNwIiIioiDCEXAiovDFAJyIiIgoiDD+JiIKXwzAiYiIiIIIA3AiovDFAJyIiIgoiDAFnYgofDEAJyIiIgoivDgjIgpfPMcTERERBRGOgBMRhS8G4ERERERBRMFZ4EREYYsBOBEREVEQUTL+JiIKWwzAiYiIiIII428iovDFAJyIiIgoiHAOOBFR+GIATkRERBREGH8TEYUvBuBEREREQYQBOBFR+GIATkRERBRMGIETEYUtBuBEREREQYTxNxFR+GIATkRERBREFKzCRkQUthiAExEREQWIIAiBbgIREfkRA3AiIiKiADGJxN8MyomIwhcDcCIiIqIAMYk8xvCbiCh8MQAnIiIiChCxEXBG4ERE4YsBOBEREVGAiAbgREQUthiAExEREQWISWS+N2NyIqLwxQCciIiIKEA4B5yIqH5hAE5EREQUIOJV0P3fDiIi8g8G4EREREQBIhZsM/4mIgpfDMCJiIiIAoRzwImI6hcG4EREREQBIjoHnBE4EVHYYgBOREREFCCic8A5Bk5EFLYYgBMREREFCIuwERHVLwzAiYiIiAJEfASciIjCFQNwIiIiogBhETYiovrF7wG4wWDAjBkzcMMNN2DAgAF49913odPpAABnz57F008/jT59+uDuu+/Gli1b/N08IiIiIr9hETYiovrF7wH47Nmz8ddff2HatGmYPn06tm7dis8++wyCIODFF19EUlISFi5ciEGDBmH8+PHIzc31dxOJiIiI/EIsBZ2IiMJXhD9frKKiAj/99BOmT5+Orl27AgAee+wx/PHHH9i5cydOnTqFefPmIT4+Hq1bt8aOHTuwbNkyjBkzxp/NJCIiIvILsdFuxuREROHLryPge/bsQXR0NHr06GF9bPDgwZg1axays7PRvn17xMfHW5/r2rUr9u3b588mEhEREfmNkXPAiYjqFb+OgOfm5qJJkyZYvXo1vvjiC9TU1OD666/HE088gaKiIqSnp9ttn5qaioKCAn82kYiIiMhvuAwZEVH94tcAvKqqCnl5efjhhx8wYcIEVFdX47333oPRaIRGo0FkZKTd9lFRUdDr9ZL7y8nJ8Uk7fbVf8h32Wehi34Um9ltoYX8Fr+PVCgCxdo/pDeZrH/ZbaGK/hRb2V+gK1r5r166dy+c9DsDz8/NRUFCAtm3bQqFQICYmRvbfRkREoKqqCpMnT0azZs0AAGPHjsXEiRMxaNAgVFVV2W2v0+lc7t/dm6uNnJwcn+yXfId9FrrYd6GJ/RZa2F/BTV+qB7Lss/0iVJEANOy3EMTvW2hhf4WuUO472QH4pk2bMHv2bJw6dQoKhQJffPEF5s+fj7S0NIwfPx5Kpfvp5GlpaVCpVNbgGwBatmwJrVaLhg0b4ujRo3bbl5SUoGHDhh68HSIiIqLQIZqCzlngRERhS1YRti1btmDcuHHIyMjAuHHjIJyfnNS9e3csW7YMX331lawXu/TSS2E0GnHkyBHrY8ePH0d8fDwuvfRSHD58GDU1Ndbn9uzZg86dO3vyfoiIiIhCholF2IiI6hVZAfjcuXNx3XXXYfbs2Rg6dKg1AL///vvx0EMPYcWKFbJerEWLFujTpw8mT56MgwcPYvfu3fjoo49w22234corr0RGRgYmTZqEo0eP4ssvv0R2djaGDh1a6zdHREREFMxYhI2IqH6RFYAfO3YMAwcOFH3u8ssvx7lz52S/4KRJk9CuXTs88cQTGDduHPr164ennnoKKpUK06ZNQ2lpKUaMGIGVK1di6tSpyMzMlL1vIiIiolAiFmsz/iYiCl+y5oAnJCRIBtl5eXlITEyU/YLx8fF4/fXX8frrrzs917x5c8ydO1f2voiIiIhCmfgccCIiCleyRsD79u2L+fPnY8+ePdbHFAoFzp49i0WLFqF3796+ah8RERFR2GIKOhFR/SJrBPzJJ5/E/v37MXr0aCQnJwMAXnnlFRQUFCAzMxNPPPGEL9tIREREFJZYhI2IqH6RFYAnJibi888/x2+//YadO3eirKwMCQkJuPfeezF48GCP1gInIiIiIjNToBtARER+JSsAz8rKwsUXX4yhQ4c6VSVXq9XYuHEjbrzxRl+0j4iIiChsMQWdiKh+kTUH/IknnsDRo0dFn8vOzsb//d//ebVRRERERPUBi7AREdUvkiPgY8eOxfHjxwEAgiDgpZdeQmRkpNN2arUaTZo08V0LiYiIiMKUeADOEJyIKFxJBuCPPvoofv31VwDAb7/9ho4dOyIlJcVuG6VSicTERNx+++0+bSQRERFROBILtpmCTkQUviQD8C5duqBLly4AgLNnz+Kpp55CmzZt/NYwIiIionDHFHQiovpFVhG2OXPmuHy+vLwcDRo08EqDiIiIiOoLBuBERPWLrABcq9Xi22+/RVZWFnQ6HYTzuVGCIKCmpgYnTpzApk2bfNpQIiIionAjFoAzAiciCl+yAvAPP/wQP/74I9q0aYPS0lJER0cjJSUFR44cgcFgwKhRo3zdTiIiIqKwYxKbAx6AdhARkX/IWobsr7/+wvDhw/Htt99i+PDh6NSpE7744gssWbIEjRs3hsFg8HU7iYiIiMIO1wEnIqpfZAXgJSUl6NWrFwCgXbt22L9/PwCgcePGeOihh/Dnn3/6roVEREREYYpzwImI6hdZAXhiYiK0Wi0AoHnz5sjPz0dVVZX13+fOnfNdC4mIiIjCFANwIqL6RVYA3q1bN3z//feoqqpCs2bNEBcXh40bNwIA9u3bh4SEBJ82koiIiCgcMdgmIqpfZAXgjz32GA4ePIhnn30WSqUSd911F6ZMmYL77rsP8+fPR//+/X3dTiIiIqKwYxKZ8M054ERE4UtWFfS2bdvihx9+wJEjRwAAo0ePRkxMDPbu3YvrrrsOI0aM8GkjiYiIiMKReAo6I3AionAlKwAHgLS0NKSlpQEAFAoFRo4caX2uqKjI+hwRERERycM54ERE9YvLFHSDwYCtW7di69at0Gg0os8vWrQId911l88aSERERBSuTCKPMQWdiCh8SY6A5+bm4qmnnsLZs2cBAE2aNMEnn3yCJk2aAAB27NiBadOm4eTJk2jcuLF/WktEREQURjgCTkRUv0iOgM+ZMwfl5eV46aWXMHnyZADAhx9+CEEQMG3aNIwdOxZ5eXkYMWIEfvjhB781mIiIiChcsAgbEVH9IjkCvnv3bowYMQJ33HEHAPNa4K+88gqmTZuGJUuWoEePHnjppZfQvHlzvzWWiIiIKJxwBJyIqH6RDMDVajU6dOhg/fell16K6upqLF26FC+99BKGDRvmlwYSERERhSsG4ERE9YtkCrrBYEBMTIz137GxsQCARx55hME3ERERkReIBuCMwImIwpbLKuhirr76al+0g4iIiKjeMYmMdzP+JiIKXx4H4Eqlx39CRERERCLERsCJiCh8Sc4BB4CDBw9Cq9UCAARBgEKhwIEDB1BRUeG07ZVXXumbFhIRERGFKQbgRET1i8sAfMaMGRAcJiK999571v+vUCisgfm2bdt800IiIiKiMCUVgHMeOBFReJIMwOfMmePPdhARERHVOyaJxxl/ExGFJ8kAvHv37v5sBxEREVG9Y5IY6mYATkQUnlhRjYiIiChApFLNGYATEYUnBuBEREREASJZhI0ROBFRWGIATkRERBQgnANORFS/MAAnIiIiChDJKuj+bQYREfkJA3AiIiKiAGERNiKi+sXlOuC2tm7din/++Qfl5eVOa4MDwOuvv+7VhhERERGFO64DTkRUv8gKwBcvXowZM2ZAqVQiNTUVCoXC7nnHfxMRERGRe1JzwImIKDzJDsD79OmDSZMmIS4uztdtIiIiIqoXOAeciKh+kTUHvLi4GMOGDWPwTURERORFYtP6iIgofMkKwC+66CKcO3fO120hIiIiqlc4Ak5EVL9IBuAmk8n63+jRozFv3jxs2rQJVVVVds9Z/iMiIiIiz7AIGxFR/SI5B7xnz552xdUEQcCLL74ouq1CocDWrVu93zoiIiKiMCY1hMH4m4goPEkG4P/73/9Y3ZyIiIjIh6RGwImIKDxJBuCjRo2StQNBEJCfn+/xC0+ZMgVnzpzBp59+CgA4e/Ys3n77bfz777/IyMjAs88+i2uuucbj/RIRERGFCpNErjnjciKi8CSrCNvVV1+NvXv3ij63c+dO3HvvvR696I4dO7Bs2TLrvy3p7UlJSVi4cCEGDRqE8ePHIzc316P9EhEREYUSFmEjIqpfJEfAp0+fjrKyMgDmAPmzzz5DcnKy03Y5OTmIjo6W/YI1NTV455130LVrV+tjO3fuxKlTpzBv3jzEx8ejdevW1iB9zJgxHrwdIiIiotAhOQecETgRUViSDMDbtm2Lzz77DIC5yFpOTg4iIyPttlGpVEhISMD48eNlv+CcOXPQvXt3pKWl4d9//wUAZGdno3379oiPj7du17VrV+zZs8eT90JEREQUUqQCbcbfREThSTIAHzJkCIYMGQIAuOqqq/Duu++iS5cudXqxvXv3Yu3atfjuu+/wzTffWB8vKipCenq63bapqakoKCio0+sRERERBTMWYSMiql8kA3Bb27dvr/ML6XQ6vPXWW3juuefQoEEDu+c0Go3T6HpUVBT0er3Lfebk5NS5Xf7cL/kO+yx0se9CE/sttLC/gldpWSSASKfHBbDfQhX7LbSwv0JXsPZdu3btXD4vKwAHzKPXu3btgl6vh3A+X8pkMqGmpgZ79uzBokWLXP79ggUL0Lx5cwwYMMDpuejoaFRVVdk9ptPpEBMT43Kf7t5cbeTk5Phkv+Q77LPQxb4LTey30ML+Cm6JBaXAuWqnxwXBN9c55Fv8voUW9lfoCuW+kxWA//DDD5g+fbo18LalVCrRs2dPt/tYvXo1iouL0bdvXwCAXq+HyWRC37598fDDDzvdwSgpKUHDhg3lNI+IiIgoJLEKOhFR/SIrAF+yZAmuuuoqTJ48GV999RUqKirw3HPPYfPmzZg8eTJuvPFGt/v49NNPYTAYrP/+7rvvcPDgQUyePBnnzp3DwoULUVNTg9jYWADAnj170Llz51q+LSIiIqLgxzngRET1i6x1wPPy8nDnnXciKSkJnTp1wp49exATE4Prr78eDz74IH744Qe3+2jSpAmaN29u/S8xMRHR0dFo3rw5unfvjoyMDEyaNAlHjx7Fl19+iezsbAwdOrSu74+IiIgoaJkkyqAzLiciCk+yAvDIyEjrWt/NmzfH6dOnraPZXbp0walTp+rUCJVKhWnTpqG0tBQjRozAypUrMXXqVGRmZtZpv0RERETBjCPgRET1i6wU9Pbt22PDhg3o0aMHWrRoAcC8dne3bt1qvVTYmDFj7P7dvHlzzJ07t1b7IiIiIgpFJonHBUHh13YQEZF/yArA7733XowfPx4VFRWYPHky+vXrhzfeeAN9+/bFmjVr0K1bNx83k4iIiCj8sAgbEVH9IisFvV+/fvjggw/Qtm1bAMD48ePRsmVLLF26FK1bt8a4ceN82kgiIiKicMQAnIiofpG9Dvi1116La6+9FgCQlJSEDz/80GeNIiIiIqoPWISNiKh+kR2AA+Z539u3b0dBQQFGjhyJ48ePo2PHjkhOTvZR84iIiIjCl2QRNkbgRERhSVYAbjAY8Oabb2Lt2rVQKBQQBAG33347vvzyS5w5cwZz585F06ZNfd1WIiIiorAiWYTNr63wTEGNET8eq0GrBBVuaREDhYIF44iI5JI1B3zevHn4+++/MXnyZPz5558QzqdLTZgwAVFRUfj000992kgiIiKicBRqc8ANJgHXryjEqzvKcP+6Eiz4ryrQTSIiCimyAvCVK1di1KhRuPHGGxETE2N9vGXLlvjf//6HnTt3+qyBREREROFKCLE54FvzdThdabT+e9y2sgC2hogo9MgKwNVqNdq0aSP6XMOGDVFZWenVRhERERHVB6E2Al5QY3R6TKqQHBEROZMVgLdo0QIbN24Ufe6ff/5B8+bNvdooIiIiovpAag54sGoY43zpaDsiTkRErskqwnbvvfdiypQpMBgM6NOnDxQKBU6cOIHt27fj+++/x4svvujrdhIRERGFnVCrgm4UadchtQEtEz1aWIeIqN6Sdba89dZboVarsWDBAixfvhyCIODNN99EVFQUHnroIQwdOtTHzSQiIiIKP6GWgm4UGbI/pNbjxuYxzk8QEZET2bcrH3zwQdxxxx3Yt28f1Go1EhMT0blzZyQlJfmyfURERERhS2r+dNAG4CLtPVRmCEBLiIhCk+wA3GQyQafToUOHDkhKSuKaj0RERER1FGrrgIuloFfoQ20mOxFR4LgNwFevXo2ff/4Z+/fvh8FgvsMZHR2Nrl27YtiwYejbt6/PG0lEREQUjiRT0IM0AhcLwMXS0omISJxkAG4ymfDGG2/gjz/+QHp6Om644QY0bNgQAFBYWIisrCyMHz8eAwcOxJtvvum3BhMRERGFi2ANtKWIpcyLBeVERCROMgD/+eefsXbtWjz33HMYPny4U8q5yWTCzz//jA8++AA9e/bEjTfe6PPGEoWiP89osK1Ah8EtYtAtLSrQzSEioiASckXYRBrGAXAiIvkk1wFfuXIlhg4dinvuuUd0vrdSqcSdd96JIUOG4Ndff/VlG4lC1vpcDe78oxjT/q3AgBWFOFHBQjVERHSBSSLUDqkAXHItNSIiciQZgB8/fhw9e/Z0u4Orr74aJ0+e9GqjiMLFU5vU1v9vEIApWeWBawwREQWdUJsDbhBpMFPQiYjkkwzANRoNEhMT3e4gOTkZJSUlXm0UUbjIrTba/Xt3kS5ALSEKDUtP1ODGFYUYvbEEai0TWyn8uUtB35CnxcCVhXhgbTFyq4ziG/sRU9CJiOrGZRE2lUrldgdKpRJCsN6mJQoyzNIjklasMeKRv0pgFIAdhUCjWBUmX5kU6GYR+ZSr34Uag4CRf5Wg5PzNqAhlGRb2T/VTy8SJtdfIHzciItkkR8CJyPt4iUIk7YtD1Xaja7OzKwPXGCI/cTV6vDZXYw2+AeDXEzW+b5AbRpFBF46AExHJ53Id8Pfeew/x8fEud1BVVeXVBhGFMw4SEEmrNvAynuofsWW9APMN2zNBkHLuSGzNb/62ERHJJxmAX3bZZaLVzx01aNAAl112mVcbRRSueJFCRES2pGbxCQKQXx2EAbhoCrr/20FEFKokA/BPP/3Un+0gIiKiEFVQY8SOAh26NIxEiwSXyXXkwFURtnM1wRfZiqeg8+4yEZFc/JUk8iOpVEMiolB1rtqI3ksLUKgxoUGkAmsGp6NDcmSgmxUyXIXYITMCzp82IiLZWISNyI+Ygk4kjfenQtP0vRUo1JjDyHK9gDf+KQtwi0KLqzng+TUhEoAH30A9EVHQYgBO5Ee8RiGSxvg7NC11qMy95ow2QC0JTa5S0PODMQVdpMHB10oiouDFAJzIjzgCTkREtiQDcEGBIk3whbZiI+Am/rgREcnGAJzIj5hiS0REtqRCbLHB7xiVT5sii2gA7v9mEBGFLAbgRH7ESrFE0niDiuojk0T0ahB5PBiKnYnNWbdt15ZzWvRdVoABKwqwp0jnx5YREYUGBuBEfsQsPSIisiV1Y1Yv8rBYUO5v4kXYzA8KgoAnN5Xi32I9dhbq8cJWtX8bR0QUAhiAE/kRR/iIiMiW1I1Zg6BwekyAOcgNJFcp6GqdgOMVFyq37yrS+6dRREQhhAE4kR9xBJyIiGxJB+Dijwc6Dd0g0mBLmwJ9c4CIKBQwACfyoyDIHiQKWrx0p/pIMgCX+MEIdAAuXgXd/L9iTWNQTkRkjwE4kR+JFa8horrJKtThq8NVKKwxut+YKMhIzQGXGgEXG4H2J7GXt7wH0ef4s0dEZCci0A0gqk94HULkXWtzNbjrj2KYBKBRrBJZwxojIZL3lil0hFoKutFFFXTRAm0CEASrpxERBQ1epRD5EUcCiKTV5uvx9KZS6/eqoMaEL/6r8mqbiHxNKjFKrAgbEPjfEdEUdBcBuIGZX0REdhiAE/lRoC+ciPxFYxDwVlY5Rm0oQVahvLWAa3OdnldtP1F2S77zaxlNAmbtq8D//irB+lyN5y9C5EOej4AHXxV0S5tcFWgjIiIzpqAT+REDcKovpu2twLR/KwAAv53S4PA9GYj3Q2q4WJ2FLw5V4c2d5QCAn4/XYP/dGciMZ1IsBQep4px6iScCvRa40UWQLfYbZ2T1USIiOxwBJ/Ijxt9UX1iCbwCoMgj48ViNX15XLAB4cVuZ9f8LAKbvrXDeiChApIpzBusccLHvmGBNQXd+kinoRET2GIAT+ZD4DD6i+qdE659hMDmvcrqK1dIpeIRaCrpYuyw3BUSf4wg4EZEdBuBEPqRkBE4kmzfCClmjgxyRoyAiHYCL/4AEegRcvAq6+TGxYFvqRgIRUX3l9wD8zJkzeP7553H99ddj8ODBmDlzJrRaLQDg7NmzePrpp9GnTx/cfffd2LJli7+bR+RVDMBd0xiBfSV6VEhNdqSwIeercKTc4PTYvhI9akSu4PUmAftK9E6Pi81PddqGAQEFUEGNEdklemvqudTZT3IE3OEPTlYYkFPm/F3wFbEg22QdAZcOzsOFIAjYX6JHfjUzaYiodvwagOv1erzwwguIiorCggULMHnyZGzYsAFz5syBIAh48cUXkZSUhIULF2LQoEEYP348cnNz/dlEIq9i/C2tWGPE/Xti0HtpAXr9WoA8pgXXa1OyyrH6tHOF8t5LC3Dd8gKobVLYdUYBN/9WiN5LC5y2l3Mrh8UQKVA2ndPi8p/yce3SAtz7ZzEEQZAeAZc4mG0D2s//q0K3Jfm48ucCTNlV7oMWi72+9GP1oQjbg+tK0GtpAbr/lI+/8riqAhF5zq8B+P79+3H69Gm88cYbuOiii9C9e3c8/vjjWLVqFXbu3IlTp05hwoQJaN26NUaMGIEuXbpg2bJl/mwikVdxBFzapweqcKrGfAo6VWnEjH0sjBXOXH0VKvUmu6Jtjg6qDVh46ML63r+cqMGuIvERPznBNeNvCpQXtqhRoTcfgavPaLFZZNk8CzlF2CbuKrMez9P2VqBc5/toV6xonKt1wMNpBDyrUIcVp8xBd5VBwFOb1IFtEBGFJL8G4C1btsTMmTMRFxdnfUyhUECv1yM7Oxvt27dHfHy89bmuXbti3759/mwikVcpfDQGrjcJWHS4Cp//VwWtjHzac9VGfJRdITrCGCif7K+0+/f8g1USW1K4OysjlXPBf+bjo0xnwuMbSyW3kxOAMwWdAuVQmf00iz9cnJOljlPbx8t19hsdE5nG4crGs1p8mF2BExXy/06qXSZBEF0HPJzmgP99Tmv37zPM3CKiWvDrOuApKSno0aOH9d8mkwk//vgjunXrhqKiIqSnp9ttn5qaioIC5xRDolDhqxHwpzaV4vuj5mWd1udp8NV1DSW31RoF9F1WgPwa88jIx9cm4/528ZLbE/mb2BxvMYIgYPDvRS63kVrSydNtiPzB1aEvVYRNLMi1KNLIHwFfdboG9/xZAgCYuqcC/97ZGKkxKrd/5+rGgOgIeBiloLNyMRF5g18DcEczZ87EoUOHsHDhQnz77beIjIy0ez4qKgp6vXRhkZycHJ+0y1f7Jd8J1j4ThFg4Jt8ePpwDRR0D8++PXsgiWX5Sg33/5UDquml5vgr5NdHWfz+5SY0eyKtbA7zAZHL+bIK1H8mZ+76Ks/tXcXERcnLOie+rXAkgxuXejAY9lu4+hn0lrrerrtGItM2+LdXVNfXuWPPl+zUY+F2Wz/5YLCopBRApuqVUbcoTp04jvtR0Pti139/eE3loWSNvVPaxrRf6rUIvYMqm0xjT0n0xt4qqaADOPziHc47glMh3+fjJk4gqDo+bXsXFEQCi7B4TO9Z5/IcW9lfoCta+a9euncvnAxKAC4KA6dOnY8mSJXj33XfRpk0bREdHo6rKPgVVp9MhJkb6Ysvdm6uNnJwcn+yXfCeY+0zYmgfHGaeTT6dCqQDeuLwB2iaJX3i53KcgAJvsA+i0Fq3RJE48Ai9VlwGwT/cOhs9LsS3PKV84GNpF7sn6zm2yL6CZlpaGdu0SRTc9k6sB9ha73F1kZCSUqWkASlxvFx2Ddu1auGxLdGys8zZhzNfnyIhdZ52iRX6XJTgciwlJycBZ8ek3UqPjTZs1R7tGUag2mIDNZ+2eMyakoV27BrKaUuHQlpOmBLRrl+b276JyCoEy57nrF7Vpg4J8HZBt/11u2rwF2qVFOW0fihrpKoHjZXaPOR7rwXxNQs7YX6ErlPvO7wG4yWTClClTsGrVKrz99tvo27cvACA9Pd3pLkZJSQkaNpROrSUKdmLFZywFXE5WGrFhSCOP9yk2KlKmM0kG4CoWgiM/E0vxdpX1Xa53Pzom9zCWM7+bVdApWLhKJ5cuwmZ+Qicy0J1Xh6Wx5H7HpJoslYIuVc09FLGwKhF5g9+ns8ycOROrV6/Ge++9h/79+1sf79y5Mw4fPoyamhrrY3v27EHnzp393UQir3EVDPxbrEdVLda/1olc/ZRppfcTUdd8dyIPiR3WeheBhpx14BUKyJq6wTngFEpcHfpSAbjlcbHfgros5yj/Jpd4w0xC+K8DzjngROQNfj2X7Nu3D4sXL8aoUaPQsWNHFBUVWf/r3r07MjIyMGnSJBw9ehRffvklsrOzMXToUH82kcir3I3G1dSiHLPYBZtaJ70fJa8YyM/EAgNXqyNVuDh+LeQGB7bX+hqDgAfWOqe2cwTc99IW5mJKln/WpQ5lYgHrhefEj3pLUTOdyO9HbnXth5vl3quVroIuXnAtnKqgcwSciLzBryno69atAwB8/PHH+Pjjj+2e27JlC6ZNm4YpU6ZgxIgRaNq0KaZOnYrMzEx/NpHIa+SMslXqBaS5rinlRGwkUe0iuokI0guGMBoUIQd6kSt0V6m2skbAZb627Uv/frrGOuXDVhhlxAYtgwBM+7cCD7SLQ6vEgNZ7DWqu0rOlvhaW3xax035ulWfLkNmq6zQPkyCEfxV0ZpQRkRf49VfxmWeewTPPPCP5fPPmzTF37lw/tohCnSAI2FeuhK5Ej0tSPS9o5m3/FutgEoDL0qJkzXurlJj7uqfIvJ/u6c6Fa8RGPdQuUtBVtbhgKKgx4mCpAd3SIpEUxSF08oxYYOBqBNxxLWMxcg9j2xHF57aoRbfhCLj/fHekGhMuk1cUrD6qzRzwU5XmNHOxTJMqGfUUJMn8krlehizMU9BFPiJBEKBgYE5EHuCVNYW057eq8cjeGPRaWoA5+yvd/4EPTd1Tjr7LCtF/eSEm7SyTVQxKbA74e3vK0W95Ia5bUYg3/ylzel7soszVCLjYdYGri77Daj2u/Dkft60uQp+lBSh1EdwTiRFPQa/bCDggL3DW2kyBldprLWZ+EPlEbeaAP7NFjX8KdNCKHMh60/mVMmpBdhE2iS+i5DrgYfR9E/tow+n9EZF/MACnkFWiMeKLQ9XWf0/Y4Rys+tPbuyus/3/GvkrRiyNHVSJXWO/Y7GdWdqXTiLenI+Bi7RB7XYvX/ylD2fkRyZOVRvx4tFpy27oQwKuWcKUXqQPlOgVdzhxwhctCbha2x7tUHOKqLeRdHBd0zdXosKu50y9tV4sG7wJqHxDK7SupdpkE8ZT6cPq+iZ2D5PzWExHZYgBOIet0Haq9urM1X4v/21WGDXlaWduLzfeWU2DNMQVd7EKlxCG4FhvsnnOgCkaJixyxgL3GxZXd6jP273mxjwJwCl+eF2GTVwVd7Fh2VKgx4f095Ri3VS0Z2ItdMP95RoNJO8vwT4Hz+sZUewxNXHM1Vclgkg6JdxfpJQM/V9kmrsgvwiY1Ai5IpKB73haNQcCH2RV4f0+5yxvM/ib201mLxUyIqJ5jZRQKWWJroHrD3mIdbllZBAHAB3sr8cegdFzZyHkuti2xH2CNjNKvjiPRYkF7kcaEDJs1vqVGE97aXY43Lk9yelwrsn21B2Vp02N8c59OAQV4eR6exAIAscJsFvJGwOVf6L5lk0UixjFw2ZCnxZ1/mKulz8quxI7bG6FtUuBrSlD4c5XV4a6cmtTf1jYgrHsRNu+loD+7pRSLj5qXpV2Xp8Xvt6R7vhMfEPv95Qg4EXmKI+AUsmp7l9+d1/8ptwsLX96udvs3Yj/AcoJcxzngYkF7kcb+ToPU+15+0rnaMyB+o8KTADwtVuV+o1pgCnr4El8HXHr7cplV0L31ndc6fCcm7rowfcUkABN3cvks8g9Xp2J31cMdj2MLOVM1xHglABdps1R2liuW4BsAtubrkF/tu4w3T4j1l6+uRYgofDEAp5Allo5qW3zmRIUB9/xZjIErC/H3WXmp5ACwJd9+211Feuv/X3NagxtWFODBdcU4Z3NBIHbBIycF3XEEXCwwLtKYr2gq9SaM+bsUN/5WJLqvnDLx8RLxmwPiV3Zin2nDaJ4myDNix9EvJ2qQ/EUuWnydh8c3lqDcJu1c1gi4wnsjTY772W3zHQeAjefkny+I3DEJAmburcD1ywucnqtNFXQLqcCv1iPgMiNwk8T+pVLQPV0HXOz3VM5NOn8Qa5uvsvGIKHwxBZ1CllghMb0JiDo/YDthexlWnTaPCj/yVwkODs9AhNgaIg6krocq9Cb8b0PJ+WBBj4TIcszpnQJAfCRCznIwjnPANRIp6AAwc18lvjvi+XxssRR0qTng52p4JUF152oErlwv4PujNYiLUGDGNebvj6w54PDeXEux75mt6ros5UTkYEu+DhN3iWdVuDqm3R2GUjUR5NRKECN/BNy3VdDLRM4HcpYq9Aexe9ccASciT3Foi0KWWABu+0P4++kLKdmFGhOyS/RO24uR+i1dfKTabqTONhgW+wGWGmW2VeWwjVhgbAnA97lpv9RItdjdeakq6Hkihe18dXHBS5bwJSOexheHqq0j0XKmROhMgteWxDMIrtNiPR2xI3JlwnbpFTpcBcsGwXVILPU9q3UKuuwibOKPmwTx746nVdDFiq6JBeWBIHbzgXPAichTDMApZImNMFvi2drMObMQ+8sfjlZj3DbPLqJcVRq3cHwPYmnrxefngJe7uQDRS4xKeDI/XSwAD5LMPwohckfg1udpIAiCrID9aLkRs7Mr69iyC2wzQ+IiuFgW+Y6rG0eusjFK9W4CcIm/lXPOFlsrXCFzDNzgYgRcbI1wT3+O1SKj3cFSCd3T+hZERGIYgFPIcixgBlwYrXVcuguo24/ka/+4XmNcLICorsUccPEibOadu5snK5mO6EEV9FyRQje1TWek+kvud+3PM1pZwbcv2E4bYQBOgeJuOoQrUtlJcrKWxH4CXK1Jbr+d+OMmQRAfAZe5Xwux0W6xoDwQRKugMwWdiDzEOeAUsirFUtDPXxkUapx/wD2p/O2ooMZ1lCAWpJ6VsU654xxwsRHwdblaCILgdp6s1mge1VA45BF6MgJepnWd1k8kh9xjplBjDFj6pu3rigXgJkHA2lwtolUK9M6Icvpe0QU8Rbjm6tDR1KHshtR3x90NsDKdCb+fcl41Q+6NM6kibJLLkHl4k01stFsdJCnoYjPLXC2xSEQkhgE4hSzRFPTzDxWJBuC++wEXCzjcrUUMOI/ii6WtVxkEfJVT7XYEXID5/Uc6XOyJzQGXSo8XqzTrq/Q6DwdFKITIDcAr9ULAbvDYjjyKDYA/uqEUPx83L4U0rmsiXu3ewF9NCzmMP1xzlWpYlxFwqXOzqzngNQYBvZcW4FSl8w+D3LnaUk02F2GrexV0sWA7WFLQxUbzOQJORJ5iCjqFLMcCZsCFkehikWEFOXOya0tqPVZ3HFPQpZYue2d3uawiNGIjImIXB1JF2MSCfKagk6f0Mr8PVXqh1t+durL9roh97yzBNwC8/6/7m2n1mavUZZ493I2A1/4TkhoBd7Us1ndHqkWDb0D+zVap/jYJgugIsdzUdgu1SCZWsBRhE/uMuAwZEXmKI+AUshzTt4ELP45iI+BSQWddGE0CvjhUhVm1LA7lVIRNoo1nq+VdfOiMAhBp/v8FNUZ8nF2Jf4udq6dLvY5YmnttK+pS/XGiwoBP9leiUawKT12SIHu5vG0FOjy1qdTHrRNnG7zImZ4iNr2DzFydIupSEDNcuBrpqMvHI3VudnXOXp/nnHou5+9suRoBN4kE2x6noIvOAQ+OAFwsS8Axi+ecRoEF29RIjVHi6c4JiIvgWBcR2WMATiFLPAA3PyYWgPtiBHzh4Sq86KI6ujtyirB5wjZLb9TGUvyVpxXdTiodX3QE3Fcp6L7ZLfmZ0SRg8O9FOHO+5sG3OVU4ViF/SGi9xDHqaxoPA3CNEYjlL6YoV4O4Ppz5EzJ8dd9G6rh1FUi7aorcvnKdgi5/eymic8BFRsUDQey92GaJCYKAMdnROKOpAmCuBTOzV4q/mkdEIYK35ShkuVoHvNjLRdikvLC19sE34DznWioFXS7LqN7RMoNk8A1AdFQcACpcVJYnErO9QGcNvgF4FHwHUnaJAYA5WJGTeis25YXMXKUYSy2PWJ8ofRSBi92EBlzfNHXVFDl9JTbCfeE58SDe0yrowTwCLpqCbvPY/lIDzmguXFovPCwvG4iI6hfez6eQJbYMmasUdKllwXYW6vDydjUUAN7qkeTNJrpVrhNgNAlQKc1XRXUdpbfciV96ssbldllFepysMKBlov0pQGwEXO58Xk+JXZMxzdd/NuRpMGFHGWJVCky/JhldG0ZJbjv3QCU+zK5Ehd6EPk2i8XyTC88Fy4Wxp57fqsY3OVV48wp53/lKvYC0GB83KkS5SjEOlzWSz1UbMXZzKY6WG9A9LQoH1QZEKYHpPZPRLe3Cd+domQFPby5FkcaEV7s3wG2tYn020iFVmNNVMTVXa33bBs+z91Vg4aEqXNowEjOvSUFKtNJpG0cmQRC9GeOdEfDgOJBEU9Bt3qBYzRT+rhGRI46AU8gSGwG3pN7l1zhHjdUSFyvPb1FjZ6Ee/xTqMXK9/+ejltu0q84j4OevUX4/5ToAB4BVp53nAorNAffFCLgguV6s11+KRJgEAWP+LsWBUgN2FenxkotpFKcqDRi/vQxnqowo0wlYflKD7/Iu3LhRhfCF5a4iPZ6UOQddbNUFMnN12vJ0/m+w+mBvBdac0eJouRE/HqtBdokeWUV6vLBVbbfdmzvLsCVfh8NlBjy1qRQVepPPUtDFMpYANyPgLvZnCS7/U+vxxs5yHKswYukJDeYdvFDjxFVfmwSJ9cU9/A0RW/M7WG70iZ0GbAudKkU+YHcrmBBR/cMAnEKWVBE2tdaEnYU6p+fEgttKvQl7Sy6kY+dW+z991ra6a13ngFtGCY7LSAM+I7JOufgccPvHjCYBJysMdVrWTeoijlm+/nG22oQ8m8J+2wt0ECTSRDeedZ7KcKz6wk+HWCZKKDktURHaEVPQxQmC4LKeQ7gUcZx/sEr08V1F9tN5Vtisr12hF7AuV+uzCy2pFHSXc8BdpaCfP8SnO1T9f8dmSU1X0w3UWhNOVhicHvf0vnKhyA30Mp1Q599HbxC7mWB7ChS7YS02JY6I6jcG4BSypJYh+/20RjTtUSxQOBuAgNuRbWqdVJq8XLeuKsLRMoOsdD3HixmjSZDIKrjw/3VGAUNWF6Hrknz0+LkAx8qdL7bcEQQB968rEX0uXC7Wg53YPE6xG1Qz91bgqU1qp8crDReu4uvL6A5HwMW5O2XVh++0q/dYpDG6HnauA7GMJXftcdUUy9+5ysRy1d+PbCjFmjPON+w8uXelNwnIrxH/g3Migbm/iV1b2K6oILasYqHIsqhEVL8xAKeQJAiC5Aj4+lzxZVbELiryREaB/U3txRFwAHh7d7msVG7Hz0MqkLKd0/ZXnhabz5mzC85UGfHu7nKP25dVpMdqkfR3wPXcRfIesfWDyxzSPqv0JkzcJd6/tl8bx0KC4aoyCEbfgpG7ALyO9xRDgqXAp1gWSYVO8FX8jQqJY9LVutSuRsDlBMq1OUV7UoTtXLVRMqNCLGvL38Tei+0ND7ERcLGaNERUvzEAp5BUqjWJ3onWmwQUSvzYOc4B31GgtUutC5TZ+ypxsNScxuiNpdJ+Ou5+/rfYa0nNJ7S9uJh/0H698x+OyXstW8tOSP9NPYnlAk5sQMYxa+Koi+yGfRUqLDpchWKNsd6OgJsEActO1GDJsep6fePIVUoyUD++05YAXOwmb5HG5LMq6FIj4J/9V4VdItOwANej45Yq6GKt3XxOi0WHq1BSi2DSk5swrm6KB8MNc7GbFLY3PMRubjIAJyJHrIJOISm3WvwHTWcSJANJ2/TuladqcN9a8TRof1uXp0XPXwuwZlBanYuweUL2CLjNx5kaU/d7dpFiVWrO4yCjf2hEjjPHIkfu5i2O3azG21lK3NQ8eEuDK+C99eYdp7y8vL0M887PC/7tpAZf9E/10iuFFqagX7iZWSFSPCyv2uizEXCpOeBHyg0YsKIQP9zQEDc0s/9+usqysvSV2P2CQb8XAQDiIzx/N54U4stzMS0sOAJw58/PtgibWPYB54ATkSOOgFNIkvoh1pvEL4IA+3XAR//t/2rn7iw4WCUaGPmK44WY1GiKbUpdQ28E4Crp5+rDxXowEA3AHUbAXV0IW5yrMeG7I56tc+vi/ovXnXmgifuNZHIcAZ9nU5TrlxM1qKwPQ70i3AVX9SE7wFI7Q+zmry+DRlc3LAUAY0R+56pd/JHlHpOrpcrE6oS44y5Lwlaui88rEEVSHYm9fb3tHHCmoBORDAzAKSRJ/UjrXYyA7y7So+B8EZdyiSA9kH44VuN0cRTjIlitq3V5WvzvrxJrxXipEXDbdcATIp1PGZ4GHi5HwOvBxXowEBsFc1z6R27g4OnqQOleuIkjR7QKiKvFaJ2UN3aW4/bVRZh7oFK0ErI3po+EIrGCfrZC/WP5+Vg1Rq53nS1Vcz5yFTuH5lYbA3ZeEwv8XN3k9dUNULnHgNEk4LV/pOuKBMMIuNhnZHvvUiwF/eP9lZh7oBKlWhNe3VGGxzaUYJ/N6itLjlXjwXXF+GR/peRqFEQUXpiCTiFJ6odYZ3JdlXn8trKgThV1HGVLj1XJXiapNn46XoM/zmhwYHiGizVlbdPrnD/bs9VGtEuSH1RFuioCxGsPv/DWCHhtpMeqJKsce1NatAoKL8+9XZ+nxfo8LeJFDmJ/Zq8EE/cp6P5phy/sLtLhkQ3us6UsN07FbuyerTIiIsGHd1I95KqQuN46Au5dctcB//yQ+FJvFq5Gx/1FLOND7+Y3EgDGby/Du3vKUao1P78uV4v/7slAdokej54/xpaf1CA1Wol72sZ5v+FEFFQ4Ak4hSSoVTWcUXAbgv5yoCep1i086BNv+GC0s1wtYcqxGcp6aUbhwASU2yufpqISrC/Yg7pqwImcOuK9Gm/w1Am6ZLvHIxfFe3/cakSr+DMDFhfK0ktf/KZO1neXGqdhNTIMgfw5wmh++GzUuSp0bBXMld2/XjJP71dhRIF44ziIYUrnFjmfbzDVXK4Bagm8AKNaasKtQ57QiSDBOjyMi7+MIOIWcnDK95LzTUhnrX2/Nd/0jHywuSYlASrR/gpUTFQaXc3P1JkClFE+vs4xKLD1Rgwnb1YiNUODja1NwdeNo0X25ClSYgu4fckbApQod1lV6rH+OaUsw81yXBKzN1Tjd3KqLExXO+5KaW/vbyRq8tK3MetPwyvRIzO+bilaJ4fHz63YZssDHTLX2n1p6JQBbloKWUjd/y2WuFJAeo/R6kGkSBLsq7Bo3b+mrnGr8LHMlDbnkBuBSReUsgmGah1gTbNstNQIuRm8yF8xztOxEDSbtKkONQcC7VyXj32IdPj9Uhc4p5nNHRlzwZFQQUe1wBJxCzpQs6TlixTIC8HV54mtQB5vbWsX6bQ3dCr3gMr3PkoYuFrjlVhmhMwp4bosaedUmHC03YsIO6ZEjsSDeQs46tFR3Yn3grxHwRj4obPDVdc7TSiwBePOECGwZ2gg7bm+E9beme+X1TlY6XzSLzas3mAQ8v1Vtl7HzT6EeM/YGfvlDb3G7DFkIz2mVe0Ow2loFvW4nMG8UuXTkeFPa3UobYzervd4GuZ+jY9u+dJgu5qqAnL+IvRfbzAdXv2+OdCYBSVHOff7Q+hIcLTcir9qEh9aX4IO9lSjVCvj7nA5zD1SK7ImIQg0DcApqh9R6nKiwv9jNtile4uhUhfsRi/W52jq3yx9ubBYje+5cXVXoTC4Drl2FOpgEATsLnT/7Up0JxyoMKLG50NtdpJdsu6sLQL1JwLFyA3LKpPuY5DMJAv4t1iHfYcqG2EjShjwtSjRGVOpN2FOks+vP2kqJVqClzfzXzDglWjfw/shv7wznbAvbYCY+Uon2yZFoFOud4L9MZK6v2HGdV20Une/+5WHPKscHM3enqFCeViL39GsNwGWOdIvJiFX6ZLmytblau7TpQIwiVxkE7CnSoczNDYpqxxooDjckaoyC26J/vnSiwoA8kcwg25VXdB78Zu8r1jtlHrkzYx8DcKJwEB45cBSWXttRho/2V0KpAGZek4yH2sdDEATkVUn/YP19zn16+UGZaYW+1D4pAtUGAWdcBL2tEiP8NgKu1plcjoDfvqZY8rkKnYACkSCjQGNCE5FUOVcjBLP2VWD1GfMNkgmXJWJ8twaumk0uCIKAu/4oxtpcLRIiFFh8Q0Ncez5Q1Yp09bkaE1p/d86rbYhTKfFpnxQ8t0UNnVHA1KuTvVqZ3Po6IvtMExlpT4ry3RpoYoFNMIzY+Zq7FHN/3UT0BbndV+1iGTK5Lk6OFA3eOiVH4EAdfrNGbSzFJ/srsWZQOiKV7kfAfWFtrhZrcwuREavEqkHpktMvqh3aFh+pQIwK0Nicr2oMgmgRRF/74r8qvLBNLfqc/Qi4/H1O3CWdzUdE4Y0j4BSUynUmfLTffKfXJFxIi1PrBI8uIPplRmPFwDRfNNGqSZznX6PnuyQi++4MHBqeIfp8XIQCSVEKtE/yzz2y3CpjrateV+gF0dFzqRF1VyMwluAbAGbtq/RoPh3Z+/ucDmvPZ3tUGgS8ZTN1w18X4TERQM/G0dh2e2Nk3ZmBAc1i0CHZ+8e0yOp4osF2vA+Cfwux6RllXsgiCHZuU9BD+COQu361N0bAL06OED3fbbm9MT7omVTr/QLAnmI9fj5eYxfIBsK5GhM+zpYewa12OFjiIxSIi7D/cgfqptZzW9WSGREVtZwDTkT1FwNwCkrnRILBnYU6vLhV7dF+EiMVuMjHxY7aJUV6tH1SlAJDW8UCABrFKpES7RwUZMaZl1B6tkui3eNzeqfUvqEu7C811PrirEJvEg3ex21TY0Oec7q/3BGCaoOAD7MvrIv65xkNZuytwEkZ0wzIXPzLlm3xQU/mKdaF2MukenkO+KuXJYouNyY2Kq5QKHBTM/HigHVlGxgIgoClJ2ow2UW9inARrlXQ86uNss9Vuwp1mLm3An+eqX19kQ7JkZI3K7xRyO6LQ1VBUal//n/SS4053hiMjVA6fY/f3VOBbfn+nUbmbm3uaoNgnRuuDdHjnQIjq1CHWfsq8G9xaBQHJu9hCjoFJbELhQErCj3eT2KkEo1jlVAq5M/n89TFSRHYeFbeBcED7eIwulMCYs5fVCgUCnRIjnSqzJ4Zbw5SWiVG4NebGuL7ozW4PC0Sw9vEYkyQLVNSoRMfAc8q0uO21UX4fkBD3NQ8xvq4J6Ov/5dVDoMgoH1SBEb+ZX7fM/ZVYO+dGUj2U4X4UOVqLqJYwTBf8EWg3yROiTYNIpAcpUT39Cg83TlBdLt4sWFxmG9itVt8zuvTO2zPWQv+q8K4ba6XsHKsTh2q3H2OoVhYUW8ScN1y+b83lvXh6+Li5AjJmxXe+LpWGYSgqCLuSpVD+8wj4Pbfkc/+q8Ln/1Vh5S1p6Cmx0oa3ybkRU6EXkBKt8NvNTQp9/xbrcMNvhTAKQIQC2DS0ETokezagQ6GLV7AUlOSm8rlaOgswj4BHKBXI8OHSR+1kpolHKYGPrk1B51T7E+zFIn+faZPW3i8zBnN6p+DRjglBecFeoXc9f3ycw7w5Ty9Q3tldgff3XKgaXa4TsMDFKAqZubpo9NdImFQbejaOqvU+v76uIVYMTMfX1zfE810SESlxEpD6XqbGqDDjmuRav74U2xHwd3a7r3LuGGyEKndp2oYQrIK+5rTGrnK9P5gDcPHn5KbCu1KtNwV9AO7YvliRABwABACvulhpw9vkzO0vP19gTueHw8bdiDyFhsm7yq03MA0C8HY9yJiiCxiAU1DQmwS8vbscQ1YVYeGhKtnFbFoluE5njVaZf7wtI8p1JZY9217mnFapArB9mjjfxXfV3omX174wmWNVWW84XGbA76elUy9POay/XJvgz7EI0erT3l2nVkyxxoinN5Xinj+L8U+BdHrYyQoDHt9YghHri3Gg1Fy93WgSMCWrHP2WFWDgykJ8f9Rc9XprvhZ3rSnCE3+XoqDGt1dqYiPgH+6rgCAIPhmlEbtQlnqdqVcnozbTsTskR6BbQ/ERgv+74sL3om+TaHRKkR5J8MVccNusAjkV5CtEKqmHgoIaI8b8XYq71hRhe742LKugi63N7Et3XBSLtBiVZNaKN7K3qg2e1U/xJbHCfHqTYHesqBTmm9axEt/VrCL/rZQhZ0DAso0/UtA9KfRGwWutw4o8rq6jKPwwBZ2CwvdHqzH1/CjnxrNaPN4xXtbftUqMwLEK6V+jyvM/iplxKgB1/8FOjFRC4zAhr3m889fozcsb4K2sclmpgzfYpGdbxKqkA4RnuyTisrRIlGoFbC/QYs4B+aPBjeNUKNR494rY02s6b4y+Fnn5PYgZu1mN306ZfxCzS/TYNayx9YaOhSAI+N+GEuvybMfKjdg4JB3fHKnGtH8vjIJuzdfhkpRI3PNnsXUJK6MgYG4f5/WrvUUszfz1neXIiFPV6UJ8bp8U7DqRj3mn7EexG8YoUS3zZsulqZHYfntjXP5zvqzXXHJDQ5RqTbihWQxUEiPeT1+aiC4No1CiNWJQi1iX+5O6qHd0cVIEfr8lDX+f02H63gr8Wyx9DvH0uDbfZPT+mui+9to/ZfjhqPkGWFaRXnQNdlty14AOJq7Ov97UMTkCL1/WAINamH8DpD4rb8TNVQZB9BiNj1D4PRujUGNChsMKGY7F1eIiFFAoFD4tnChXuYz13S2DBv4owlahNyEmIvTOHUR0AUfAKSi85ZB6M/egvKCyhZsRcMvocm1GwJuJ/E2iyPInCZEKNLZJcY9SAo92jMebDiPVb0iMXCdGKnFrS/sgvJfIusa2+mbGYOhFsRjeJs7ldrZSo5WyLmbkptR7otJmaMMb84+LzwfgYnMmBUGA3iRY/7c2CmqM1uAbAM5UGbFPZP35/aUGu7XR95XocarSiO0iI+ZzD1TarR/9/VHvjOKbBEE0JbFU4qLxsY2ldRoBH94mDhfHO/99mkh2hauXaZMUIXtZsH6Z0birTZzbef99M6Nx+0VxiHITQMm9qL+1ZSxSY1S4rVUs+opkqtjytDpzXSpmB9IPNsdtsdaEzedcz30O8qxnUf6axzuwRQxuaxWLiPM3laTivIEiN2k9VakXcNxhZL9/ZjQu9sGqBO6I1Qyp0jsH4ID8m2W+VC7ju2opHOt47FzdqPbTbaSE6rmDiC5gAE5+t+JkDVp8k4dmX+Xhl+Pm1Nyz1bUb0WziIrDu2TgKNzY3XzSLrUftTqcU5wuTBlHOX5n4SAVm9Uq2BucvdE1EYqQSD10cjyvSzWmwXRtGYkR76WD5rR5J1uXM7rgoVvYc2a4NI3F3a/Non9RyaEqF+WJmxjXJsi5m2jbw/gVZs6/P4om/SyEI4qMwnirXC5i+twIXfXMW3Zacs6Z+H1brcc2vBUj/Mg8pC/PQ8ftz+PW454Hu8pPOf3NI7RyALz3hvF3XJflYecr5cbFK8UV1WBfIJAgYvbEEqQvz0H95Ic467L/YRZbAmjN1KxgVHyESgEcrRZcDc0XuSGOEu2IPHnJc2ggw3zhzpLR5TOwGg605B6pwxU/52Cuzmm2FjFG1YCN2o0ftJpU+FKugq/3UNyqHmh5Sn1XHlAu/H+kxStFj1R0B5ptvttolRUjWUPAl2/n1giBg7OZSdPrhnN02lt8qsakt/ibnuzryr1K0/vYs/j5n//1vmej9kWqxEXm9ScBD64qR/EUuBq4sREmg15wjIpcYgJNfCYKAl7eXoVwnoNJg/v+mOhQUEQus/xuegf13Z+C3gWnWC+3UWlTMFptDKnYxEBehwM3NY7H/7gwcv68Jxnczj3QnRSmx6pZ05NyTgT8Hp6Ohi+WXWiREYP/dGTh8TwY+75cquqySGIVCgbl9UpBzTwZ2DWvs9Pz97eJw7N4mODg8A7e1ikWMjICnqZfmyzv69kg1tuTrvDa6NHlXOSoNAk5UGDF2s/nC8u3dFThoM1+8SGPCy9vVonMOXVktMhfrkMM8dMtSU2JKtc6vd0Jk+TTHfXri77M6LD4/GrmnWI85++3X161tmv7zXcSrittKUDm/v4YxSqfvo7sA2zGlHwB6Z3h/xMiR2I2oRJG7Bwk22zWUUT/hSLkBb+6UV0hHzqhasKkUGc6ucjPJW28KvaJR7m4qeIvjfSBXH+WsXik4em8G/r2rMW5oVvcRccC89JnIvSifsy3aub1Ah0WHq522iQumAFzmd1Ws9oMvlkEVa8/vpzRYdtL8u7U1X/wzpeAW+COd/IkBOPmE0SRg41kt/nMYNSzTCThj8+ObX2NCYU3tRxvERqXSY5RoGq+yqxjePzParujT/zq4n2PeUSQAF4uLLa/TIEqJFIdAP0KpQHqsStYog1KhQKNYz4NfhcL8GnERSozvZr9u+DOdE5AcrUTS+SETOSOOTeNVeNlhP96SVahDXi2zHVzZWajHF/9V4VeRgPhcjQn5Lo4xo0nA32e1OFh64Vg9Vu48enBIrUeZzoSVp2qw9EQNNpzV4nCZ/AD6qMg+xdYNNgnO7bG1u0iHbflajNpYYvf47OxKaxVhkyDIKgTmaFTHeJc3YIZdZM62ENskLUaFD3om2z02q1ey84Y2TlY6fyZtfJCB4Uhsekmx1oTHbGpPRCiA+9pdyFpJk7l+udzlqOQWmvSmA6V6bDqnrfVNT7GsClffLYtADYIX1BixLlcDtZvvwulKA9blapBVqMPfZ7WiN+B8IULmCLhFwxjzed5bWUoXJ0dYfxv8adNZLbac00JnFPDCVrXoNhcC8Lq3TxAE7CjQYneR6+wUkyBg0zkt9jtMN6rLd/UiH5zPxNrz7m77G38Td134t0kQsPmcFtki06iIpBxS67HxrNbjAQySh0XYyOsEQcDwP4vxZ64WSgXwae8U3H1+rrJYGu4BiUDDnWgVIHYdKVakqVlCBGb3SsYnB6rQITkCk65ogM/cLGWVIRIMu0rrDQZjOiXgeLkB+0r0eKRDPNo7rCkpJwU9M16Fm5rF4Fi5AdklelzRKAqH1QZsc1EJXK7XRUYH72wda74YMwGNYpW4qlEUvjjk+d375yQu5ADzcSdVB+D+dSVYdVoDBYBPeqfgnjaxosfpP4V69FlaIBo01taMfZW4pUUsrrSZJ3j/2hL8fr49H1+bjPvaXQgK39tT7nKJqyt+ysfW2xtBbxI8CnqUCmBQixi82DURuwrF+3lA02hrHQPRFPQYJa7LjMYLXRLw+ykNejeJxm2tXBdDc5QSrZAssuZNydFKNIhUOI1Cj+uaiLNVRhyvMOCZSxPtgm53Keie8ncV9EWHq/DMZjUEAENaxmDRdQ093odYVoWcav56E6Dyc5x3rNyA/ssLUKYT0DhWic1DG4neRNlZqMOtvxd5XJjwofZxdR5l9GQE3NYtLWIwK7vS/YZudEiOQNNaTM+qqxWnNFhxyvVNDkvg7WoEvMYgyPpNe2VHmbVY6cvdEvHyZeL1WB7dUIqfz09ZmtEzGSPP36ivy5zri3yQgi7WHlcZNY9tKMVP59/X9J7JeETGAAT5llhWUDCFuT8ercbjf5fCJJh/+3+8oaHszEyShwE4ed3+UgP+PL+8gkkAZu6tuBCAixRf2SFxwe9OjEohOidbyn3t4u2CGXeSo8XTzYNZcrQS8/pKVyWOFyki5ygzTiW6nwfWFru9aEqOUnicvvlp7xSnOb6p0Up8sLfuF5gWuVVGXJHu/PghtR6rzo92CQBm7K3AwOYxogW1SrQmlNRt6rSozw9VWQPww2q9dSkSAeYA3XLMmgQBH/wrHXwD5rmVi49Uo4vEUl1SsoY1RqvzqZJiNyoWD0jFzc0vBNNi9zIaxiihUirw+uVJeP3yJFmv2yU1EnttRmVGXhyPcz7IkBDz8MXxmG0TxHRPi0SjWBW+vl48MJWTgu6Jcj+PgE/fW2G9wFt2UoNj5Qa09nB0TqxmgZwRcL0gIMbPCZaf/VdlLXqYX2PCdznVePpS58yeTw9Uehx8P98lAW9cnoSG0UrM2Ff785S7hKQIhXi7rvRCYa/4CAUaxqi8tkSnt8mZA67WmRDrphp4ld5kt1LI9L0VGNc10elG38kKgzX4BoAP9lZcCMDrUBOgcS2y2tzxpD2nKw3W4Bswv38G4IEndhNFbzJnwQSiLoOjGfsqrDfx/8zVYn+pAZ1TPbuuINeCLgDX6XSYNm0a1q5di8jISNx333146KGHAt0sOi+/2ohFh6uQGKXEg+3iEH9+3qTBJODbI9U4VWF0urA8oDbgyU2lSI5S4uP9zhcrrkb0XIlQKHBN4yg0ijKhQGdux7OXup+/KldSlBIvd0vEu+eXR0uLUaJXRrRf1x/1tn5NojHfTYV5qRRkd5WlIxRAz8bRHq9lKVZgy9V8+dp4K6scSVEKrMvVon9mNPo3Nc+h3JZvf/PncJkBI9aXiO3CZ747Uo2H28fhqsbRTlkGOWUGjNpQgkiVAmqtSbJKsq2Xtpd53Abb2gBi/e84P1rsvldtlgu6tWWMNQBPj1FibOdEPO8ik8Gbnr00Ad/kVKP4fHryrS1dj9Z7ewR86fEaa70Ii5wyPb7JqYZaa4IJQHKUEgNbxKBnY9cV2LVGAV/nVOFgqQECgNYNIvBguzjrDUqNETjhsFzjrkKdNQD/84wGG89qra9VWGPEVznViFYp7PZT2xFwg4fxy9pcDTbkmdtzSUokvsqphsYg4KH2ccirNuKX4zUo1piQEq0U3SY9VuX0W/P6znIcqzCgWXwErsmIwprTGpRoTVhyzPMijVHnz1mPd0rAJwcqa70us7viglJfKaVCgde7N8D/nV89pEGk+Wb0GZEb3FIevtgchAVrAB4vIwCfsbcCydFKPNAuDjqjgMVHatCqgQr3tonDb6c0WJerwT8ON/h1JuB0lRGtEiNgEgR8f7QGOWV6p3oUZ6qMGLdVjQHNYtz+ZroiVueirhb8V4WcMgN0JgFN4yPwUPs40WxAkyBgt8P1ypkqIyr1JsRHKPD90RocLtObV7ZIDs3g6li5Ad/mVKNFogr3t43zSwaVN0gVeizTmWRPd/IVg0nAgVL76XXf5FQhPlKJFgkq3Nc2zuuFUR3tL9FjybFqXJIaiWEXxYbl6HvQBeCzZ8/G3r178dFHH6GgoAATJ05ERkYGbrzxxkA3rd4zCQLuX1dsXXYpu0SPj65NAWC+q/q2i0D6mxzvFwSJUJrTzRd00eJPTToy4lR2czjrKjlKiRe7JiI1WolTlUb8r0M8Pj9U+x/iYDCoZSw+75uCP3K1iFUp0D09Ek9tUtttI1Ux3t1UvL6Z0ciQqMTuKW+vw3u4zIChq4sBAB9mV2LFwDT0yogWTTXfcNbzYe5OKRFOP1ieGLyqCBuGNBLNEPmhFgGCp2wD8Ia1KFgIuL9BI+b5LolIilLieIUBD7WPR3K00uPlvGorNUaFZTen4aucKrRpEOG2LoS31yM+oDZgQ54WfTPNwbVaa8KQVUVOK0J8eqAS625t5HL0YdKuMnyy3/7ctLtIhwXns1hO1Ti3/dT5qRQb8jS4849i62utvbURxm9TY8v5m1NZhTp81s+8H7EpOHJuCnmyFviGPC2GrbnQntYNIvDf+WKFiw5XoVRrsku3ddxmba4Gvw1ME913baa2iLF8XzLiVFh1SzrmHqi0FkT0hLuvjKuEpbGXJqBBlALHyg14sH08XtiqdhmA39U6FiqF+XvaKSUSD56vb5AZgBR0OWJlLEM273xg/NXhKhhM5vXFAWDegSq7zBpH/6n1aJUYgU8PVOGVHdI3LOf/V4X5LqaqtW0QgVaJKmvGnxhPAvBoFWTdzPlPbbAe7wDwxxmNaEBXrDGJFv/MKTNge4EOL5+/WftNTjW2Dm2E1AAHfp6q0Jtw2+oinD5/LiuoMeHFrr6pX+NtUnUp1NrAB+AnK5wPQtssknPVRrzUTXwahzfkVxtx66oiax2baoOAh9qHX9ZGUBVhq6mpwdKlS/H888+jY8eO6Nu3Lx544AH8+OOPgW4awVyt1HbN4++OVKNYY4TBJGDuAf8HppYCNk1iBEy+MglPXJLgUeqOuwvqBlEKRCgVGNUpAVN6JOGiBhFOy4M1ig2qr5Asd7SOw5zeKZh+TTIGt3Ae9ZO64Ily89ne1irWqTrvpamRuDLd8zvrHUSWgPMWAeaLdgBORQJra1THBDxeh5s/ehPwxX9VdhdV/qKA/SiT2J3mFgnuLwjEVg1wR3X++/XOVcnWooc3OhxDYssBesslqZF496pkPNYxwa5oo5ja3oEf0lK6YrXlOASAX47XiC7HqDMBn7sIAqr0Jnzxn3Ng+dOxGuvSdMeqnc9TlmP/E5tzt84EjN1cag2+AeCn4zXWG0O1razvSbb9HJvPRGeC3XfiZKXRaa6r4zZb8nXYnF/3ehWu2AZVl6VF4dM+qehUi/W0yxym69zuUDNhYCPp80GkUoHHOpq/O51SIp0KgNp6oUsC5vdNxad9UjG7VwpGd0qwZq+JFSQMBpZzkpwbX2erTdbgG4DL4BsA/is1QBAEfCKSkeeJxzrG4ys3tRSilMA1MpcV7VLLFN/tBTpUidy4zK0y2q0KYnGgVG+XIZJfY7JLUw8VK05qrME3YD6fhkrBMKmpev5agcGVg26ui+YeqPLopqqnvj9abVdE9mMv1LsIRkE1Ap6TkwOdToeuXbtaH+vWrRs+//xzGAwGREQEVXPdKtIY0XdpYaCb4TUVDnmERgHo8XMBIpSwpnHWVYMoBTomR2K7jIJfdS3q8/G1KXhkQ4lksSqxC/KbmsXg0tRI7CvRI1Jp3kcoS45W4v52cdYMhTcvl76r6WqN5w7JEbizdSyilQrr5xOhAF7r3gD/FOrwT6Fnge5VjaLQPS3SKd0/I1aJQS1j3RbQc2f5SQ0u+f4cCr20VurgljE4JzKa7on5/1XVan3furoiPdJp9PqDnkl4Yat5dGRwixg0T3A+907vmWxNFx/cIsbj+cRShreJxUfZFThWYUSsSoFZ14T2d6x7WhT0JohOzVh9xnwcAq7Xnv78UJVkZW6dSRCdwywA6PVrAWJVCpRpnQOApSdqsOXcObs1mQE4pawCwLVLzfup7frY/ZcXOFX8luLYntq498/iOu/DFbFRzU96p+CmlYXQGuWPZOY7pO+/0j0R6/M0UJ8vHDeyufzzptRSm41ilXiso/TULKmMJ1sxKvM0Bn/Snz+m5RRZ89T7/1Zg7sFK0RtenuiQHIHYCAVSo5WSq05EqxT4vyuTMNhNob+4CAVuaRHr8W+lK8PWFKNSZP7H+G1lTksKjttWhplerLviD46/30UaEzr9cE72ucZCb4hBZNY59xt6kdSxMGCFOWYIRHFEC7Fjxlax1oRLavE5y+X4G3CozIBO35+F4nwdkQ23pQc8S8AbgiqiLSoqQoMGDRAdfWG+W2pqKvR6PdRqNdLSxNPKgpVJ8M7FRDDzVuANmIO1+9rGYV+JHsMdLqAW9E3BoxtK7R6r69yqoRfFon1yI5ytNqKgxoQxf5e6/RuVUoE1g9Kx6ZwWrRJVaJcUmvOmbH3UKxnD28QhLkKBK9Kl79SLZRfM7ZOChAgF+mVGW6vW/jEoHRvPmj+f9smRyIxXYZqb4mGOlArz57zhrBZtGkQgUqlAdokePRpFITlKgfvaxuFAqR7jt5fVOmXZm9/NtBgVxBIEmsapPHqdOtT6qbW+mc4jtP/rkIDL06JQqjWhTxPx+cePdIhH97RIlGpN1jRqb4iPVOKvIY2wvUCHdkkR1uJwocoE4OvrUrHxrBZKhQK3rS668JwHvxG1OV4vBAXOB6fOJH+ftVnSzpacQm3eVJeq1XJEi1z7dUuLQtawDOwv0eOS1Ehc8oP7C/oyhy98u6RIbL29MbJL9OieFomS0/IDIrER8O8HNMTl6ZEuL1ZjIhRoGK10+Vu+584MdPheXoDSt0k0Xr+8Ad7OKsc6N0vyNY5VSh4blvO6t6d+AECVQRAdMfZUh/PzpjPjVZLfkQilApenR2Hb7Y3wn9qAno2jsPREDZ7erLbbLjNOhdtaxWKSzfJhdSXVp47Bt0U4XK/W7lyjBHTB9d6DvS/8fU63Xb42RJIc3AqqKxuNRoOoKPsAwPJvnc55RDQnJ8cn7fDWfot1ABDnbjMC0DnRiNvizqEqD2hmApIiYlFmMP/wpkYKuNSQiydaRuCTkxeOj8czq6x9Vds+iwTQAkCiHlAhFsbzF6pXJBld7rMVANQAOQW1etmg0+T8/+aopbfpH6PAPFxIkRzS2IDuplxAB+SdsN/2IgDQADmFQLQAtIqNwYka5wvEnimuP+cWAPTVgB5AawBFp4AiAA0AXK0A3m6vxLMHnAPIca11mHsqEuUG3xfumNBWi5ycHFwKBWDz+dyUboDOZEBudd1Os9emGKETgB1qz+74qiDg9XY6TMyRDo5VENA3sgA5OflOz8Wf/+/YUfG/zcnJsW5z9IhHTZOlFQB9DZDj34EJl+7LjMS3eZ7ddGuqK8Cxo+fQ7Py/RzaLxBdnQv/GXX2mUJ9DTo74BehFACpygeSIWKjdnH+ujytFTo7zaH0rACWnzf9f7m9bnygFPnQ4/7TWnEbpacDdreWW0dEo1oqfXwakGVCRewxXJ0djm8M5qEWsCTemGbHg9IXjuX9COZLUpRiTocC6POnChu900KJtnAl3ZYlvc0mEGjk5xTDV2J9Xg0VGtAllZ46hXAE0VUUhW+RyunmMya7/WgPIPwl0NgIqRSyMwoXjo1mEBsb84+iYEI2DlaE/ukfkK8eOHUOZTajoq1iwrtq1a+fy+aAKwKOiopwCbcu/Y2KcL7LdvbnayMnJ8dp+k2qMwI4gunoMUplxSnzSPx3tGl74Rs2KqsHYzaXQmgS80zMVF7eJw7PNjdhWVYysIj1uaRGDET0yEalUeK3PXtaV4+3dFciIU+Ld3ulo52I0uD5qB+BxjRpzD1bhokQVXr2mEdrJrJz6aZIWI9aX2N01bRSrxGPNNXXquzaCgA3VpfjlxIX5a7e2jMHLvTPR8mg1Xtle5nJ9VHeGXRSLHo2i8No/ZdZ5rA2izBdNlXoBtzSPwYu9MqFSKpw+n0nXNoLWKOC/P4tFUx37Z0ZjvZsRotaJKnx8fWNojQKG/VFsN9/NomWCCjOvScbrO8uRfX7uY6xKgdcuT8KYTvHINpZiybEaNDhf0cnyecRHKPDG5Uno3cnzlQO8eZ4MJS83MWD3H8U4qDZgeJtYXNUoGhN2qCXTjYddFIu7Ls+0m84yuZUJB9YUS06zsVRbr+18a5JHzufcMFqJWb2SMWNvBXadT82/vZW5T93VG3lbUYXntqoRrVRAqTDP7WwQqQAUQLlOwF2tY3Fn90yXVZs9+Z61A/CMrgyzsyvRNF6F169phHYy5xRPSdTi/nXFKNXanyubJ6gwsZd5P5MaaPHg+hIUnD+HJ0Yq8E7PNPRvGo2DfxRjyzkdbmwWjSevMX827QCMPd+eZvEqzOqVjLeyyrG3WI+728Rh9NWZUCgU1jYnRyugNZpHvvtnRuPRHk0QH6lEOwCja9SYd7DK45GvG5pG47GOCXhiU6lXv08NohR4v1ca2p9fOWFimh7Za4rtRi3jIxR4+5o0tJNYXeE1fQXe3l0OvcmcCTCxVxO0S4vC7CQdHlxXjHM2v5UNohSY2zsFH2ZX2tVnIKqPWrdujUbnl/cL5WsRhVqtDprB/L1792LUqFH4+++/ERlp/uHYuXMnnn32Wfz1119+mQPuzc40mgRrEZxw0ihWBb1JQKlDelNilBIJEQrre24cZ94uLkKJKr0JcREK1BgFxKrMP7QmCCjVCmgSpxSdb60xCIhQ2i/VYhIE6E3mwiaWokje7DODSYACCJmlLAJBbxKgUojPkXfF8n2wpENGq4AjR454pe9qDAKiVYDGKFhT4QHzMRStMqfcVesFNI5TobDGCK3D/KvGcSpUGwRoDBe2iVQqkHw+rbPGIKBYY4RSoUDG+eO12mCyey0LrdH8+ViOW5MgYMHBKqflwdQjm6LaYEKsSoH8GpNdURPb746FIAg4W21CUpQCkUoFFArAaAKiVOa+EAQBGpv5p7ZzJ3VGwVrFXm8ClOY4oNZLiYTyj15dWc5BlikwGoOAIo0RTeJUqNALMAgCUqOVTseiI7HjEDCnsyoVClTpTYiPVCK/2gi9jMgjKVqJWJUCRgEwCgJKbAKO4ydO4KJWrZAYZd7GcemwaJUC6bEqu9dKj1U57ceiQZQSsREK5Nv8vkUoFWgcq0ShxoQopQKJkYpa//45tic1RgmVQoHCGvN3sEmcuVq+7edju41FlEqB9BglaowCYs7/7igV5s/e8jmXaIwwAUiJUkJvMtcWEQTzHPpI5YXzXEGNEVE25wQ5DCbh/H4U1u+gIJinJcgpGFqb75nWKNi1Wy7b65VGsSooFHA6z5sEAZZDVgn730mp86Ht77jlHOU4r1tjEBClMp+TLP3qqFxnQpVBQEasEkUaE7RGwXrMW+pvZMabv4MVOvP1hqWqt0kQzNccgvN1S0KkEg2iFDhbbYIgCGgUq4LGKKDaYJ6HX6w1IUKhsBaFUynM9W8c62aYBAHnqk1oEKXAqWNH0aF9W7d9UKU3Qa1zvgbSmwTzcSKYawllxKms5+oijRERCgUaRJmPZ5XiwlKAKqXC7vOxlR6rgtYooNxm2oPjew9VTeJUqDQItV6v3XJ+DIRIpQKNYpUYtqbYacrGJSkR+H6A6yJ/vpQQqUR85IXzfF0/Z08oFApkxilRphNQ6VDFs0mcynruCeVrkaAaAW/fvj0iIyOxd+9eXH755QCAf//9Fx06dAi5AmyA+WTYTKR4UTiIUilEfyQB2L1ny0WGZVvLj1hMBAAoEOfi44kRmfulVChE5995i6/XNgwHnlSat+XL70OsxJqxlmMoMVKBxPODQemx4gdQUpQCSVHi28RGOLddKrhyrE2gVCjw8MXxmLWv0jpC0jsjym4fGSIFVxw/Z4VC4bRmr+1XUKFQIDbC0l77fdleLPry+1MfOJ6DYmyOjeToC5+zq/WLAenj0MJyzmzsYTEec0sUiEu4cHDURAt2x6/U99D5tez340hsP41s3lddv++O7bHdX/z5jA5X21jEWZe0ct7GduklV4U9G7npLzG2vyfW76AC8OVXsLa1UeScn5UKhWitC0D6fBjjsMKC47nJcZt4ibXXGkQp0UDi/GzbbvN53L4tSuvrSl+3NLU5t0apFNbXEps/L9Z/Spvzs9wbIPGRSsSLJCnYnvsd+8S2PWLHMyB9bolWmdeLd9Q0SCvhe0Ks3+VyPD8GQqeUSKcAvEmcKuDtAtx/v3wpOdqzm56hJKjeVUxMDG655RZMnToV+/fvx8aNG/H1119j+PDhgW4aEVGtRakUWHRdKvpnRuOWFjH4MMSr5xMREZF3WKbE2Goo8hiFj8DfWnHw3HPP4d1338UTTzyB+Ph4PProo7jhhhsC3Swiojq5PD0Kv9wUWis5EBERkW+JBdvpYbDUFkkLugA8JiYGEydOxMSJEwPdFCIiIiIiIp8RGwEXe4zCB3uXiIiIiIgoAMRqDTAFPbyxd4mIiIiIiAKAI+D1D3uXiIiIiIgoAMRGu8VGxSl8MAAnIiIiIiIKgESR5fekluSj8MAAnIiIiIiIKAAUCgW6p11YFD45SoE2DYKuTjZ5EQNwIiIiIiKiAJlyZRKaJ6iQGq3E+1cnI1rFEfBwxtsrREREREREAXJNRjT23ZUR6GaQn3AEnIiIiIiIiMgPGIATERERERER+QEDcCIiIiIiIiI/YABORERERERE5AcMwImIiIiIiIj8gAE4ERERERERkR8wACciIiIiIiLyAwbgRERERERERH7AAJyIiIiIiIjIDxRqtVoIdCOIiIiIiIiIwh1HwImIiIiIiIj8gAE4ERERERERkR8wACciIiIiIiLyAwbgRERERERERH4QcgH4mTNn8Pzzz+P666/H4MGDMXPmTGi1WgDA2bNn8fTTT6NPnz64++67sWXLFru//f777zFs2DD07dsXjzzyCPbu3ev0/ODBg9GvXz9MnjwZNTU1Ltvi7vUsfv/9dzz22GN1eNehLZT6bNiwYejRo4fdf4cPH/bCpxB6Qqnf1qxZg+HDh6Nv374YO3YsTp8+7YVPIDT5st8spkyZgjlz5rhtC8+R7oVSf/H8aC+U+o7nyAt81W/V1dV4//33MWjQIAwYMAAvvfQSCgoKXLaF50j3Qqm/eI60F0p95+9zZEgF4Hq9Hi+88AKioqKwYMECTJ48GRs2bMCcOXMgCAJefPFFJCUlYeHChRg0aBDGjx+P3NxcAOaT16effoonnngCX3/9NS6//HI888wz1g5bv349Pv30U7z00kv45JNPcODAAcycOVOyLe5ez2Lnzp145513fPaZBLtQ6jOdToe8vDwsWLAAK1eutP7XunVrn39OwSaU+m3Hjh144403MGTIECxatAitWrXCmDFjUF1d7fPPKdj4st8sFi1ahGXLlrltC8+R7oVSf/H8aC+U+o7nyAt82W/Tp0/Hrl278M4772Du3LnQarUYN24cTCaTaFt4jnQvlPqL50h7odR3gThHhlQAvn//fpw+fRpvvPEGLrroInTv3h2PP/44Vq1ahZ07d+LUqVOYMGECWrdujREjRqBLly7WH68VK1bgzjvvxPXXX4/mzZvjySefRGpqKv7++28AwHfffYe7774bffr0QadOnfDyyy/jt99+k/zw3b0eAMyfPx/PPvssmjZt6vsPJ0iFUp+dPHkSANCpUyekpaVZ/4uIiPDDJxVcQqnfFi9ejAEDBuD+++9Hy5Yt8dxzzyEuLg6rVq3yz4cVRHzZb5WVlXj55ZexaNEiNG7c2G1beI50L5T6i+dHe6HUdzxHXuCrfjMYDFi9ejWeeeYZdOnSBW3atMFrr72GgwcP4tSpU6Jt4TnSvVDqL54j7YVS3wXiHBlSAXjLli0xc+ZMxMXFWR9TKBTQ6/XIzs5G+/btER8fb32ua9eu2LdvHwBg9OjRGDp0qN3+FAoFdDodjEYjDh48iMsuu8z6XOfOnWE0GnHo0CHRtrh7PQDIysrC7Nmz0b9//zq971AWSn12/PhxNG3atN6eLG2FUr/l5ubi0ksvtXuttm3b2n0X6wtf9RsA5OXlwWQyYdGiRbIuBnmOdC+U+ovnR3uh1Hc8R17gq34TBAFTp05F165d7Z4DYO1XRzxHuhdK/cVzpL1Q6rtAnCND6ihJSUlBjx49rP82mUz48ccf0a1bNxQVFSE9Pd1u+9TUVGu6gu0HCwBbt27FqVOncNlll6GiogJardbu7yMiIpCUlCQ5p8Dd6wGwztvauXNnLd5teAilPjt+/DhUKhWeeeYZHDp0CC1btsTTTz+Nzp071/4DCFGh1G+pqanIz8+3e/7cuXNISkry8F2HPl/1GwC0b98eU6dOld0WniPdC6X+4vnRXij1Hc+RF/iq3yIjI9GzZ0+75xcvXoykpCTJFGSeI90Lpf7iOdJeKPVdIM6RITUC7mjmzJk4dOgQnnjiCWg0GkRGRto9HxUVBb1e7/R3J0+exMSJE3HLLbegQ4cO1oIAjn8fGRkp+vcAPHo9uiCY++z48eMoLy/HnXfeiZkzZ+Kiiy7CE088gby8vFq/33ARzP1244034pdffkFWVhYMBgN+/fVXHDx4EAaDodbvN1x4q99qg+dIzwVzf/H86Fow9x3PkdJ81W/r1q3D119/jbFjx0qOiPIc6blg7i+eI10L5r4LxDkypEbALQRBwPTp07FkyRK8++67aNOmDaKjo1FVVWW3nU6nQ0xMjN1jR48exdNPP42WLVtiwoQJAMydAMCp4/V6PaKjo/HFF19g4cKF1sdnzpwp+/XILBT6bMqUKdBoNEhISAAAjB8/Hnv37sXKlSvx6KOP1v1DCEGh0G+33XYbjh8/jqeeegomkwlXXnklBg0ahMrKSq98BqHI2/3mDs+RdRMK/cXzo7hQ6DueI535st/WrFmDiRMn4r777sOtt94KgOfIugqF/uI5Ulwo9F0gzpEhF4CbTCZMmTIFq1atwttvv42+ffsCANLT05GTk2O3bUlJCRo2bGj994EDBzB27Fi0bdsW06dPR3R0NAAgKSkJ0dHRKC4uRps2bQAABoMBZWVlSEtLQ48ePTBgwADrftLT07Fnzx63r0dmodJnERER1hMnYJ4D0rJlSxQWFnrx0wgdodJvSqUSzz//PJ588klUV1cjJSUFEyZMQJMmTbz/oYQAX/SbO3fccQfPkbUUKv3F86OzUOk7niPt+bLffv31V7z77ru49957MXbsWOvjPEfWXqj0F8+RzkKl7wJxjgy5FPSZM2di9erVeO+99+yKUnTu3BmHDx+2W094z5491rkXubm5eOaZZ9ChQwenogBKpRIdO3bEnj17rI/t27cPKpUKF198MZKSktC8eXPrfzExMW5fjy4IlT57+OGH8eWXX1qfM5lMOHLkCFq2bOn1zyQUhEq/fffdd/j8888RHR2NlJQUaDQa/PPPP7j88st99dEENV/0mzs8R9ZeqPQXz4/OQqXveI6056t+W79+Pd555x089NBDeOaZZ+ye4zmy9kKlv3iOdBYqfReIc2RIBeD79u3D4sWLMWrUKHTs2BFFRUXW/7p3746MjAxMmjQJR48exZdffons7GxrFb2pU6ciNjYWEyZMQGVlpfXvLEsf3Xnnnfj222+xfv16HDhwAFOnTsWtt94q+cPo7vXILJT67Nprr8XXX3+NzZs34+TJk3jvvfdQXl6OIUOG+OOjCiqh1G9NmzbFV199hW3btuHkyZN45ZVX0LRpU/Tq1csfH1VQ8WW/eYrnSPdCqb94frQXSn3Hc+QFvuq3mpoavPPOO7j22mtx99132+1Xak43z5HuhVJ/8RxpL5T6LhDnSIVarRZ8tncvmzVrFr755hvR57Zs2YKzZ89iypQp2L9/P5o2bYrnnnsOV199NaqqqiSXcBg5ciTGjBkDAPjyyy/x3XffQafToV+/fnjppZdczsU5ffq06Os5mjdvHv755x/Mnz+/Fu86tIVSnxmNRnz22WdYvnw51Go1OnfujBdeeAFt27at46cQekKp3wBg0aJF+P7771FdXY2ePXvixRdfRGpqah0+gdDk636zGD16NLp27er0uCOeI10Lpf7i+dFeKPUdwHOkha/6zfJ9EPPRRx/ZVYO2xXOka6HUXzxH2gulvgP8f44MqQCciIiIiIiIKFSFVAo6ERERERERUahiAE5ERERERETkBwzAiYiIiIiIiPyAATgRERERERGRHzAAJyIiIiIiIvIDBuBEREQkShC4UAoREZE3RQS6AURERFQ3o0ePRlZWlvXfSqUSsbGxuOiii3DLLbfg9ttvh0qlkr2/iooKTJ8+HbfccguuvPJKXzSZiIioXmIATkREFAbatm2Ll156CQBgMplQXl6OrVu3Ytq0acjKysJbb70FhUIha1+HDx/Gb7/9hoEDB/qyyURERPUOA3AiIqIwEB8fj27dutk91q9fP7Rq1QozZsxAnz59cPPNNwemcURERASAc8CJiIjC2vDhw5Geno6ffvoJAKDRaPDxxx9j2LBh6NWrF/r374+nnnoKhw4dAgCsWLECY8aMAQA89dRTmDRpknVfy5cvx7333otevXph8ODB+Pjjj6HX6/3/poiIiEIUA3AiIqIwplQqceWVV2L//v0wGAyYNGkSfvnlF9x///2YMWMGnn76aRw5cgSvvPIKBEHANddcgxdeeAEA8Nxzz2HkyJEAgK+++gr/93//hy5dumDq1Km4++67sXjxYrzxxhuBfHtEREQhhSnoREREYa5hw4YwGAwoKytDRUUFXnjhBev87h49eqCmpgazZs1CQUEBGjdujLZt2wIA2rRpgxYtWqCyshLz58/HrbfeigkTJgAAevXqhUaNGuGNN97A3r170aVLl4C9PyIiolDBAJyIiKieUCgU+OijjwAAxcXFOHXqFE6ePIlNmzYBgGQ6+b59+6DRaNC3b18YDAbr471794ZSqcT27dsZgBMREcnAAJyIiCjMFRYWIjo6GklJSdixYwdmzJiBo0ePIj4+Hu3atUNsbCwA6XW/y8rKAAAvvvii5P6JiIjIPQbgREREYcxoNCIrKwtdu3bF2bNn8cILL6Bv376YNm0aMjMzoVAosGTJEmzdulVyHwkJCQCAiRMnolWrVk7PJycn+6j1RERE4YVF2IiIiMLYL7/8goKCAgwbNgwHDx6EVqvF/fffj6ZNm1rXBd+8eTMA8/rhgLlwm63OnTsjKioK+fn56NSpk/W/+Ph4zJo1C8ePH/fvmyIiIgpRHAEnIiIKA1VVVdizZw8AcyBdVlaGbdu2YenSpRg4cCD69++P06dPQ6VS4eOPP8Z9990HnU6HFStWYMuWLQDMS5QBQGJiIgBgy5YtaNiwIdq0aYOHHnoI8+fPR0VFBa688kqUlJRgwYIF0Gq16NixY0DeMxERUahRqNVq8QlfREREFBJGjx6NrKws67+VSiVSUlLQqlUr3Hbbbbjpppuso91r167F/PnzkZubiwYNGuCSSy7BPffcgzFjxuD555/H8OHDYTKZMGnSJKxduxZXXHEFZs6cCQD4+eef8eOPP+LUqVNITEzE5ZdfjjFjxqBZs2aBeNtEREQhhwE4ERERERERkR9wDjgRERERERGRHzAAJyIiIiIiIvIDBuBEREREREREfsAAnIiIiIiIiMgPGIATERERERER+QEDcCIiIiIiIiI/YABORERERERE5AcMwImIiIiIiIj8gAE4ERERERERkR/8Py8dNwtR6WCGAAAAAElFTkSuQmCC\n", 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      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Further analysis on other indicators: Seaborn's lineplot Death rate\n", + "plt.figure(figsize = (15,5))\n", + "sns.lineplot(x = 'Date', y = 'Death Rate', data = JH_Daily_DeathsNigeriadf).set_title('Daily Death Rate in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "73b25263", + "metadata": {}, + "source": [ + "There was a spike in the death rate in Nigeria on 2021-08-29 with a record high of 93.0. The reason may be because of relaxed perventive measures with apparent ease of local restrictions. The lowest death rate of -4.0 was recorded on 2022-06-10 perhaps due to the success at global control the corona virus, especially in year 2022." + ] + }, + { + "cell_type": "code", + "execution_count": 410, + "id": "c4596cbc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "93.0" + ] + }, + "execution_count": 410, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Highest_death_rate = JH_Daily_DeathsNigeriadf['Death Rate'].max()\n", + "Highest_death_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 411, + "id": "34e9077c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      DateDeath CasesDeath Rate
      5852021-08-29245493.0
      \n", + "
      " + ], + "text/plain": [ + " Date Death Cases Death Rate\n", + "585 2021-08-29 2454 93.0" + ] + }, + "execution_count": 411, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] == 93.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 412, + "id": "421c5844", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "-4.0" + ] + }, + "execution_count": 412, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Lowest_death_rate=JH_Daily_DeathsNigeriadf['Death Rate'].min()\n", + "Lowest_death_rate" + ] + }, + { + "cell_type": "code", + "execution_count": 413, + "id": "e79bfc0f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
      \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
      DateDeath CasesDeath Rate
      8702022-06-103144-4.0
      \n", + "
      " + ], + "text/plain": [ + " Date Death Cases Death Rate\n", + "870 2022-06-10 3144 -4.0" + ] + }, + "execution_count": 413, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Find the date\n", + "JH_Daily_DeathsNigeriadf[JH_Daily_DeathsNigeriadf['Death Rate'] ==-4.0]" + ] + }, + { + "cell_type": "code", + "execution_count": 414, + "id": "0d3d5777", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Regression\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=NCDC_external[\"Age\"], y=NCDC_external[\"No. of Cases (Lab Confirmed)\"], data=NCDC_external).set_title('Age and infection Pattern in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "143c42d6", + "metadata": {}, + "source": [ + "The above plot displays the association between number of confirmed cases and age of populations. It can be infered from the plot that the occurences along or close to the trendline are higher confirmed cases with higher Age index scores. There are however lesser confirmed cases associated with lower age index.\n", + "\n", + "This shows that aged populace are more susceptible to Coronarvirus than the younger population." + ] + }, + { + "cell_type": "code", + "execution_count": 415, + "id": "75ed56aa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (10,5))\n", + "ax = sns.regplot(x=\"Age\", y=\"No. of Deaths\", data=NCDC_external).set_title('Age and Mortality in States in Nigeria')" + ] + }, + { + "cell_type": "markdown", + "id": "5baf5607", + "metadata": {}, + "source": [ + "Apparently, the number of deaths tends to be more in the elderly population (more occurences tend to cluster close to the trendline at higher indices), even though many age categories are captured in lower covid related deaths.\n", + "indices that can be traced to lower death are however associated with younger population." + ] + }, + { + "cell_type": "code", + "execution_count": 416, + "id": "6110820e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Bar plot for Mortality and Health Systems\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.barplot(x=\"Health System\", y=\"No. of Deaths\", data=NCDC_external).set_title('Mortality and Health System')" + ] + }, + { + "cell_type": "markdown", + "id": "bc686c82", + "metadata": {}, + "source": [ + "Health systems of a country may influence the overall health impact of coroner virus. According to Africa COVID-19 Community guiding principles, higher system indices show that health crisis mangagemnt are less effective and therefore there are chances that there will be lower number of discharged cases. Higher health system index score indicate weak health system. \n", + "\n", + "From the bar plots above, lower deaths are associated with various health system index score. Health System index of 0.1 (very low) was associatated with the highest number of deaths. With this relationship and high standard of deviation, it is therefore not clear whether health systems in states in Nigeria had any significant influence on the number of deaths recorded during the covid crisis" + ] + }, + { + "cell_type": "code", + "execution_count": 417, + "id": "a0805c69", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Bar plot for Discharged cases and Health Systems\n", + "plt.figure(figsize = (10,5))\n", + "ax = sns.barplot(x=\"Health System\", y=\"No. Discharged\", data=NCDC_external).set_title('Discharged Cases and Health System')" + ] + }, + { + "cell_type": "markdown", + "id": "70262c2a", + "metadata": {}, + "source": [ + "Health systems of a country may influence the overall health impact of coroner virus. According to Africa COVID-19 Community guiding principles, higher system indices show that health crisis mangagemnt are less effective and therefore there are chances that there will be lower number of discharged cases.\n", + "\n", + "So far from the barplot, it is inconclusive to say that the health system of Nigeria influenced the number of covid discharged cases in Nigeria. This is further highlighted by the large error bars which indicates higher measure of dispersion from any possible trend." + ] + }, + { + "cell_type": "code", + "execution_count": 418, + "id": "76e60106", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Health System Index in States')" + ] + }, + "execution_count": 418, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting Health System in States\n", + "plt.figure(figsize = (8,12))\n", + "sns.barplot(x = NCDC_external['Health System'], y = NCDC_external['states'], data = NCDC_external, color = 'green').set_title('Health System Index in States')" + ] + }, + { + "cell_type": "markdown", + "id": "fbfb3577", + "metadata": {}, + "source": [ + "The barplot above shows that health System index is diverse for states in Nigeria." + ] + }, + { + "cell_type": "markdown", + "id": "849a37e6", + "metadata": {}, + "source": [ + "TODO L -\n", + "Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", + "Steps\n", + "\n", + ">From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", + ">Hint: Use Pandas.melt to create your plot DataFrame\n", + ">Set your quarter legend to lower left.\n", + ">Using axhline, draw a horizontal line through the graph at the value of Q2 2020.\n", + ">Write out your observation\n" + ] + }, + { + "cell_type": "code", + "execution_count": 419, + "id": "81e7c755", + "metadata": {}, + "outputs": [], + "source": [ + "#Determine the effect of the Pandemic on the economy. To do this, you will compare the Real GDP value Pre-COVID-19 with Real GDP in 2020 (COVID-19 Period, especially Q2 2020)\n", + "#From the Real GDP Data, generate a barplot using the GDP values for each year & quarters. For example: On x-axis you will have year 2017 and the bars will be values of each quarters(Q1-Q4). You expected to have subplots of each quarters on one graph.\n", + "#Hint: Use Pandas.melt to create your plot DataFrame\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 420, + "id": "71e84fea", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      " + ], + "text/plain": [ + " Year Q1 Q2 Q3 Q4\n", + "0 2014 15438679.50 16084622.31 17479127.58 18150356.45\n", + "1 2015 16050601.38 16463341.91 17976234.59 18533752.07\n", + "2 2016 15943714.54 16218542.41 17555441.69 18213537.29\n", + "3 2017 15797965.83 16334719.27 17760228.17 18598067.07\n", + "4 2018 16096654.19 16580508.07 18081342.10 19041437.59\n", + "5 2019 16434552.65 16931434.89 18494114.17 19530000.00\n", + "6 2020 16740000.00 15890000.00 17820000.00 0.00" + ] + }, + "execution_count": 420, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Declaring the dtat set to be used\n", + "RealGDP" + ] + }, + { + "cell_type": "code", + "execution_count": 421, + "id": "dd8ef945", + "metadata": {}, + "outputs": [], + "source": [ + "#Restructuring the RealGDP dataframe for easy readability and accessibility\n", + "Q_RealGDP= pd.melt(RealGDP, id_vars=['Year'], var_name='Quarter', value_name='Amount in Billion(N)')" + ] + }, + { + "cell_type": "code", + "execution_count": 422, + "id": "994c4a99", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      72014Q216084622.31
      82015Q216463341.91
      92016Q216218542.41
      102017Q216334719.27
      112018Q216580508.07
      122019Q216931434.89
      132020Q215890000.00
      142014Q317479127.58
      152015Q317976234.59
      162016Q317555441.69
      172017Q317760228.17
      182018Q318081342.10
      192019Q318494114.17
      202020Q317820000.00
      212014Q418150356.45
      222015Q418533752.07
      232016Q418213537.29
      242017Q418598067.07
      252018Q419041437.59
      262019Q419530000.00
      272020Q40.00
      \n", + "
      " + ], + "text/plain": [ + " Year Quarter Amount in Billion(N)\n", + "0 2014 Q1 15438679.50\n", + "1 2015 Q1 16050601.38\n", + "2 2016 Q1 15943714.54\n", + "3 2017 Q1 15797965.83\n", + "4 2018 Q1 16096654.19\n", + "5 2019 Q1 16434552.65\n", + "6 2020 Q1 16740000.00\n", + "7 2014 Q2 16084622.31\n", + "8 2015 Q2 16463341.91\n", + "9 2016 Q2 16218542.41\n", + "10 2017 Q2 16334719.27\n", + "11 2018 Q2 16580508.07\n", + "12 2019 Q2 16931434.89\n", + "13 2020 Q2 15890000.00\n", + "14 2014 Q3 17479127.58\n", + "15 2015 Q3 17976234.59\n", + "16 2016 Q3 17555441.69\n", + "17 2017 Q3 17760228.17\n", + "18 2018 Q3 18081342.10\n", + "19 2019 Q3 18494114.17\n", + "20 2020 Q3 17820000.00\n", + "21 2014 Q4 18150356.45\n", + "22 2015 Q4 18533752.07\n", + "23 2016 Q4 18213537.29\n", + "24 2017 Q4 18598067.07\n", + "25 2018 Q4 19041437.59\n", + "26 2019 Q4 19530000.00\n", + "27 2020 Q4 0.00" + ] + }, + "execution_count": 422, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Q_RealGDP" + ] + }, + { + "cell_type": "code", + "execution_count": 423, + "id": "8c2fcdb6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 423, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# generating a seaborn's barplot using the GDP values for each year & quarters\n", + "plt.figure(figsize = (10,5))\n", + "sns.barplot(x = 'Year', y = 'Amount in Billion(N)',hue = 'Quarter', data =Q_RealGDP).set_title('Annual-Quaterly GDP')\n", + "plt.legend(loc = 'lower left')\n", + "plt.axhline(y =15890000.00, label ='Hline', color ='black')" + ] + }, + { + "cell_type": "markdown", + "id": "6fe3ce42", + "metadata": {}, + "source": [ + "The second quarter of 2020 (onset of impact of pandemic in Nigeria) was used to apply an axhline threashold and bench mark for comparison of dataset parameters. \n", + "\n", + "\n", + "There is no record for the fourth quarter's GDP in 2020 \n", + "\n", + "\n", + "Economic activities during the fourth quarter was virtually grounded hence there is no record of GDP for fourth quater of 2020. This also means that 2020 has the lowest combined GDP in the years under review. \n", + "\n", + "\n", + "The impact of covid 19 was huge on Nigeria's economy around the second quarter, in 2020, because that was when the highest cases of daily infection were recorded. \n", + "\n", + "\n", + "The negative effects of covid on the population and the control measures enforced by the government affected productivity, all compared to other years included in the review. " + ] + }, + { + "cell_type": "code", + "execution_count": 425, + "id": "6c46a25d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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      statesInitial_budget (Bn)Revised_budget (Bn)
      0Abia136.60102.70
      1Adamawa183.30139.31
      2Akwa-Ibom597.73366.00
      3Anambra137.10112.80
      4Bauchi167.20128.00
      5Bayelsa242.18183.15
      6Benue189.00119.00
      7Borno146.80108.80
      8Cross River1100.00147.10
      9Delta395.50282.30
      10Ebonyi178.40131.80
      11Edo179.20128.80
      12Ekiti124.5091.10
      13Enugu169.56146.40
      14Gombe130.83107.40
      15Imo197.60108.30
      16Jigawa152.92124.00
      17Kaduna259.25223.60
      18Kano200.00138.00
      19Katsina244.00213.00
      20Kebbi138.0099.60
      21Kogi176.00102.00
      22Kwara160.00120.00
      23Lagos1680.00920.50
      24Nasarawa108.4062.96
      25Niger155.0098.00
      26Ogun449.90280.00
      27Ondo187.80151.40
      28Osun119.6082.20
      29Oyo213.00174.00
      30Plateau177.30122.00
      31Rivers530.80300.40
      32Sokoto202.40153.00
      33Taraba215.00150.50
      34Yobe108.0086.00
      35Zamfara188.50127.30
      36FCT278.78199.00
      \n", + "
      " + ], + "text/plain": [ + " states Initial_budget (Bn) Revised_budget (Bn)\n", + "0 Abia 136.60 102.70\n", + "1 Adamawa 183.30 139.31\n", + "2 Akwa-Ibom 597.73 366.00\n", + "3 Anambra 137.10 112.80\n", + "4 Bauchi 167.20 128.00\n", + "5 Bayelsa 242.18 183.15\n", + "6 Benue 189.00 119.00\n", + "7 Borno 146.80 108.80\n", + "8 Cross River 1100.00 147.10\n", + "9 Delta 395.50 282.30\n", + "10 Ebonyi 178.40 131.80\n", + "11 Edo 179.20 128.80\n", + "12 Ekiti 124.50 91.10\n", + "13 Enugu 169.56 146.40\n", + "14 Gombe 130.83 107.40\n", + "15 Imo 197.60 108.30\n", + "16 Jigawa 152.92 124.00\n", + "17 Kaduna 259.25 223.60\n", + "18 Kano 200.00 138.00\n", + "19 Katsina 244.00 213.00\n", + "20 Kebbi 138.00 99.60\n", + "21 Kogi 176.00 102.00\n", + "22 Kwara 160.00 120.00\n", + "23 Lagos 1680.00 920.50\n", + "24 Nasarawa 108.40 62.96\n", + "25 Niger 155.00 98.00\n", + "26 Ogun 449.90 280.00\n", + "27 Ondo 187.80 151.40\n", + "28 Osun 119.60 82.20\n", + "29 Oyo 213.00 174.00\n", + "30 Plateau 177.30 122.00\n", + "31 Rivers 530.80 300.40\n", + "32 Sokoto 202.40 153.00\n", + "33 Taraba 215.00 150.50\n", + "34 Yobe 108.00 86.00\n", + "35 Zamfara 188.50 127.30\n", + "36 FCT 278.78 199.00" + ] + }, + "execution_count": 425, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Budget_data" + ] + }, + { + "cell_type": "code", + "execution_count": 495, + "id": "eab1e7dc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Initial budget for states before COVID')" + ] + }, + "execution_count": 495, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (8,12))\n", + "sns.barplot(y='states', x='Initial_budget (Bn)',data=Budget_data).set_title('Initial budget for states before COVID')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "873075eb", + "metadata": {}, + "outputs": [], + "source": [ + "Lagos had the highest initial bugdet before COVID" + ] + }, + { + "cell_type": "code", + "execution_count": 498, + "id": "c989ad0c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Revised budget for states during COVID')" + ] + }, + "execution_count": 498, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
      " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize = (8,12))\n", + "sns.barplot(y='states', x='Revised_budget (Bn)',data=Budget_data).set_title('Revised budget for states during COVID')" + ] + }, + { + "cell_type": "code", + "execution_count": 500, + "id": "f3de0a0c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 500, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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yZGRk4MyZM8jNzTV4Z/Hx8bCzs9MJkKFDh+Lzzz9HYmIi2rZtCwcHB2Gdn58fEhISAACJiYno0qWLsE4mk6Fdu3bCeiIismwGDR1UWlqKRYsW4dixY8K1oxdffBHR0dFITU3Fpk2b0KRJk/98nTt37sDLywuHDx/GV199haKiIvTr1w/Tp09HdnY23N3ddbZ3cXFBVlYWACA7Oxtubm561xMRkWUzKJA2b96MU6dOYcmSJXjmmWfw3HPPAQBCQ0MRHByMjRs3YunSpf/5OoWFhUhLS8N3332H0NBQPHjwACtWrIBKpYJCoYCNjY3O9ra2tlAqlQAAhUIBW1tbnfU2NjYoKSnRu7/r168b8vbMSow16cNaTcOSagUsq15LqrWqast78/Hx0bvOoECKiYnB5MmTMWDAAKhUKmF58+bNMWHCBKxbt86gQqytrVFYWIglS5agadOmAICZM2fio48+wpAhQ1BYWKizfUlJCWQyGYCycCofPkqlEk5OTnr3V9kbrwnXr18XXU36sFbTsKRaAcuq19JqrSpLeW/VYdA1pNzcXLRu3fqR61xdXVFQUGDQztzc3CCVSoUwAspCrbi4GK6urpDL5Trb5+TkCHMsNWrUqMJ6uVxe4TQeERFZJoMCqVmzZjh58uQj1/3+++8G3wv05JNPQqVS4e+//xaW3bp1Cw4ODnjyySeRlJSEoqIiYV18fDx8fX0BAL6+vrh06ZKwTqFQICkpSVhPRESWzaBAeuONN/Djjz/i448/RmxsLCQSCf755x9ER0dj165deO211wzaWbNmzdC7d28sWbIEV69exR9//IF169Zh+PDh6N69Ozw9PbF48WLcuHED0dHRSExMxIgRIwAAw4YNw5UrVxAZGYmbN29i2bJl8PDwQPfu3R/7zRMRkXhIcnNzNf+9GfDNN98gIiICxcXFwggNtra2GD16NCZPnmzwDgsLC7F69WocP34cUqkUQ4YMwYwZM2BtbY2UlBQsW7YMV65cQZMmTRAcHIynnnpKeG5sbCzWrFmDjIwM+Pr6YsGCBTqn/8TO0s5xs1bjs6RaAcuql7VaPoMDCSgLk8uXLyMvLw/169eHr69vpZ0KSJcl/RKyVtOwpFoBy6qXtVq+Kk1h7uDggKefftpUtRARUR1mUCANHz5cGGS1PCsrK9jb26NZs2Z4/fXXhSGBiIiIqsKgTg2DBg2CXC7HgwcP0LVrV/Tv3x9du3ZFcXExMjIy0KxZM6SlpWHq1Km4cOGCqWsmIqJayKAWUn5+Pnx8fPDFF1/ojDWnUCgwa9YsuLu7Y/ny5fjoo48QERGBrl27mqxgIiKqnQxqIR0+fBijR4/WCSOgbIDTN954AzExMQCA/v3746+//jJ+lUREVOsZPJFQ+WF9tAoKCoThhKytrfVeayIiIqqMQYHUo0cPbNy4EVevXtVZfvXqVWzcuBE9evQAAJw4cQItWrQwepFERFT7GXQNKTg4GNOnT8dbb70FT09PNGzYEDk5OcjMzETz5s0xZ84cHD16FPv27UNYWJipayYiolrIoEByc3PD9u3b8fPPP+PChQu4d+8eWrduDX9/fzz//POQSqVo1aoVtm7dig4dOpi6ZiIiqoUMvjHWxsYGL7zwAl544YVHrtc3GjgREZEh9AbSpk2bqvRCU6ZMqXYxRERUd+kNpMjISJ3H2qnLrays4OzsjPz8fCiVStja2qJ+/foMJCIiqha9gXTu3Dnh33/88Qfee+89zJ07F0FBQbC2toZGo8Fvv/2Gjz/+GCEhIWYploiIai+Dun1/+umnmDBhAgYOHAhr67IMk0gkCAwMxMSJE/Hll1+atEgiIqr9DAqklJQUvbPCenh44O7du0YtioiI6h6DAqlly5b46aefKizXaDTYvXs32rVrZ/TCiIiobjGo2/ekSZPw7rvvYvTo0ejTpw+cnZ2Rk5ODY8eO4c6dO1i7dq2p6yQiolrOoEAKDAzE6tWrERERgYiICKG3XefOnbFgwQJ06tTJ1HUSEVEtZ/CNsT179kTPnj1RXFyM/Px8ODk5wcbGxpS1ERFRHVKlKcwBwM7ODnZ2dqaohYiI6jCDAqlHjx7/Oa3E2bNnjVIQERHVTQYF0rhx4yoEUmFhIS5cuICcnBxMmzbNJMUREVHdYVAgVRY48+fPx40bN4xWEBER1U0Gzxirz/Dhw3HkyBFj1EJERHVYtQMpOzsbCoXCGLUQEVEdZtApu/3791dYplarkZGRge+//x7+/v5GL4yIiOoWgwLp448/1rvOz8+Po30TEVG1GRRIe/furbBMIpHAwcEB9evXN3ZNRERUBxkUSF5eXqaug4iI6jiDR2q4ceMGIiMjcf78eRQUFMDZ2RndunXDhAkT0KJFCxOWSEREdYFBgXT+/HnMnj0bzs7O6NOnD1xcXCCXy/Hbb7/h1KlT2LRpE6egICKiajEokNavX4/OnTtjzZo1OuPYFRYWYsaMGQgPD8eGDRtMViQREdV+Bt2HdOPGDbzxxhsVBlV1cHDAmDFjkJiYaJLiiIio7jAokLy8vJCWlvbIdQUFBXB3dzdqUUREVPfoDSS1Wi38vPPOO9iyZQuOHj0KlUolbHPmzBls2rQJM2bMMEuxRERUe+m9hvT000/rjPCt0WiwcOFCLFq0CE5OTigoKIBSqYS1tTU+/fRT9O3b1ywFExFR7aQ3kCZMmPCfcyAREREZi95Amjx5cpVfTKVS4auvvsKIESPg5uZWrcKIiKhuqfZo3w9TqVSIiIhAdna2MV+WiIjqAKMGElB2rYmIiKiqjB5IREREj4OBREREosBAIiIiUWAgERGRKDCQiIhIFBhIREQkCgwkIiISBaMGko2NDTZs2IDmzZsb82WJiKgOMNrQQZs3b4ZEIoG/v3+1iyIiorpHbwvJysoKUqlU+Pnzzz9x5coVSCQSNGrUCLa2trh27RqSkpLQqFEjc9ZMRES1kN4W0saNG4V/f//998jKysIXX3yBxo0bC8vlcjlmzpwJb29v01ZJRES1nkHXkKKiojB58mSdMAIAV1dXvPXWW9izZ49JiiMiorrDoEAqLCyEjY3NI9eVlpaipKTksXa+bNkyTJ06VXicnp6OGTNmoHfv3njttdcQGxurs31cXBxGjRqFwMBATJ06FSkpKY+1XyIiEh+DAsnPzw8RERHIycnRWZ6eno4tW7YgICCgyjs+f/489u/fLzzWaDQICQmBk5MToqKiMGTIEMybNw937twBAGRmZiIkJAQDBw5EdHQ0XF1dERISArVaXeV9ExGR+Oi9hvSwWbNmYdKkSRgxYgQ6duyIhg0bQi6X48qVK2jYsCGCg4OrtNOioiIsX74cfn5+wrK4uDgkJydj8+bNcHBwQKtWrYTQmjZtGvbu3QsfHx+MGTMGALBw4UIMGjQIcXFxjxWIREQkLga1kFq2bIldu3Zh5MiRKCkpQVJSEtRqNcaOHYsdO3bAw8OjSjvdsGED/P39dbqIJyYmom3btnBwcBCW+fn5ISEhQVjfpUsXYZ1MJkO7du2E9UREZNkMaiEBZR0Y3n777Wrv8PLlyzh27Bh27NiB7du3C8uzs7Ph7u6us62LiwuysrKE9eWnRX94PRERWTaDA0mtVuPYsWM4e/YssrOzMXfuXCQkJMDX19fgkRlKSkrw8ccfIzg4GA0aNNBZp1AoKnScsLW1hVKpFNbb2trqrLexsam0Q8X169cNqsucxFiTPqzVNCypVsCy6rWkWquqtrw3Hx8fvesMCqSCggIEBwfj8uXLcHNzg1wux4MHD3Dw4EF89tln2LhxI9q2bfufrxMREQFvb28EBQVVWGdnZ4fCwkKdZSUlJZDJZADKwql8+CiVSjg5OendX2VvvCZcv35ddDXpw1pNw5JqBSyrXkurtaos5b1Vh0HXkL788kv8888/2LJlC/bt2weNRgMACAsLQ5MmTbBp0yaDdnb48GGcPXsWffr0QZ8+ffDNN98gPj4effr0gbu7O+Ryuc72OTk5cHV1BQA0atSownq5XF7hNB4REVkmg1pIJ06cwLRp09CpUyeoVCphubOzM8aMGYNPP/3UoJ1t3LgRpaWlwuMdO3bg6tWrWLJkCTIyMhAVFYWioiLY29sDAOLj4+Hr6wsA8PX1xR9//CE8V6FQICkpCePHjzdo30REJG4G3xirb7y6evXqoaioyKCdeXl5wdvbW/ipX78+7Ozs4O3tDX9/f3h6emLx4sW4ceMGoqOjkZiYiBEjRgAAhg0bhitXriAyMhI3b97EsmXL4OHhge7duxv2TomISNQMCqQ2bdogJibmketOnjxplHObUqkUq1atwr179zB27FjExMRg5cqVwnBFjRs3xooVK/Dzzz9j7NixkMvlWLVqFaysOKUTEVFtYNApu/Hjx+Pdd9/FO++8gz59+kAikeD333/Hnj17sH//foSFhT3WzqdNm6bz2Nvbu9LrUT179kTPnj0fa19ERCRuBjUvAgMDsXTpUiQnJ2PVqlXQaDRYt24dTp48iQULFqBv376mrpOIiGo5g+9D6t+/P/r374/bt28jLy8Pjo6OaNGiBU+ZUQUaACkKKTIfqOBZT4qmMhUkNV0UkYW7LC+77cVdZgUvB4O/ui1Kld5VUVGRcBPsiRMncPbsWQQGBnI+JBJoABxJV2PcL2koKtXA3lqCqCBPDPCyYigRVcP75/MAAGEBTvBy+I+NLZRBzZvU1FS8+uqriIqKAlB2g2toaCg+//xzvPnmm0hMTDRljWRBUhRSjPslA0WlZfeqFZVqMO6XDKQopDVcGRGJnUGBtG7dOiiVSjzzzDNQqVT47rvv0LdvXxw+fBhdunTBhg0bTF0nWYjMByohjLSKSjXILFLpeQYRURmDAunChQuYPn06OnXqhMTEROTl5eGVV16Bs7MzXn75Zfz555+mrpMshGc9KeytdU/O2VtL4GHPFhIRVc6gQCouLkbDhg0BAGfPnoW9vb0wl5FUKoVEwqsDVKapTIWoIE8hlLTXkLxlbCERUeUM6tTQokULxMXFoUuXLvjll1/QrVs3WFuXPTUmJsbg0b6p9pMAGOBlhXOveiOzSAUPeym82cuOiAxgUAtpzJgx+Prrr9G/f3+kpqZi1KhRAIBx48bh2LFjGD16tEmLJMsiAdBMpkL3hmX/ZRgRkSEMaiEFBQXBzc0Nly9fRrdu3dChQwcAgL+/P6ZMmYKnn37apEUSEVHtZ/B9SJ07d0bnzp11ls2cOdPY9RARUR2lN5AWLVqEiRMnwtvbG4sWLar0RSQSCT766CNj10ZERHWI3kCKj48XZnCNj4+v9EXYy46IiKpLbyDt27fvkf8mIiIyBYN62S1atAjnz58Xpi4nIiLzmt+5AeZ3bgAH69p7RsqgTg0JCQk4dOgQ3N3dMXDgQAwaNAitW7c2dW1ERPQ/n8TfB1A2uGptZVAg/fjjj0hISMDhw4dx4MABbNu2DT4+PhgyZAgGDBgAFxcXU9dJRES1nMGTGT355JMICQlBTEwM1qxZgzZt2mDLli0YOnQo5syZY8oaiYioDqjyLE9WVlbo3r071Go1AODQoUOIi4szemFERFS3VCmQLly4gMOHD+P48eMoKChAp06dMG/ePAQFBZmqPiIiqiMMCqQ1a9bg2LFjyM7ORuPGjTFy5EgMHjwYTZo0MXV9RERURxgUSAcOHEC/fv0wePDgCsMHERERGYNBgfTzzz/D1tbW1LWQiGlQNj155gMVPOtJ0ZSjeBORkRkUSLa2tnjw4AF2796Nc+fOITs7G8uXL0dsbCw6duwIf39/U9dJNUgD4Ei6GuN+SUNRqUaYdG+AlxVDiYiMxqBu39nZ2Rg9ejS2bNmC4uJiJCcnQ6lU4o8//sCMGTNw4cIFU9dJNShFIcW4XzJQVFo2UkdRqQbjfslAioLTkhOR8RgUSJ9//jlUKhV2796NTZs2CUMIrVy5En5+foiIiDBpkVSzMh+ohDDSKirVILOI05ITkfEYFEhnzpzB5MmT4eXlpTOyt7W1NUaOHInr16+brECqeZ71pLAvN36WvbUEHvZsIRGZi3YsOwmAy/ISXJaXIL2wtKbLMiqDriEplUo4ODg8cp1EIkFpae06KKSrqUyFqCBP4bSd9hqSt4wtJCJz0Y5l97CwACd4Pfqr2SIZFEgdOnTAd999h169egnLtC2lmJgYtG/f3jTVkcFM2QtOAmCAlxXOveqNzCIVPOyl8GYvOyIyMoMCadq0aZg2bRpGjRqFZ555BhKJBDExMfjyyy8RFxeHdevWmbpOqkRVesE9bnBJADSTqdBMBgBsGRGR8Rl0DalTp05Yv349GjRogB07dkCj0WDXrl24f/8+wsPD2e27hhnaC04bXD12p6D/vjsI2J2CI+lqcJYrIhIDg8ey8/PzE7p9379/H46OjrC3tzdlbWSgynrBlbVoypQFV1qF4Dr3qjea8XoQEdUwg6ef0LKzs4O7u7sQRunp6XjvvfeMXhgZztBecOy+TURipjeQ1Go11q9fj4EDB2LgwIH44osvoFL9+8WlVCoRERGBkSNH4uTJk2Yplh5N2wtOG0r6esGx+zYRiZneU3ZfffUVoqOj4evrC0dHR2zfvh0NGjTA2LFjcfnyZSxevBipqalo0qQJgoODzVkzlWNoLzh23yYiMdMbSEePHsWAAQOwdOlSAEB0dDT27NkDHx8fvPfee5BIJJg0aRLGjBnDgVdFwJBecOy+TURipveUXUZGBvr37y88HjRoENLT07Fo0SK0b98eO3bswMSJExlGFkYbXN0blv2XYUREYqG3hVRUVARnZ2fhsYuLC4Cym2Q/++wzWFtXefZzIiIivQzuZacdmWH06NEMIyIiMroqJ4ujo6Mp6iAiokrM79wAAGAnBeykZQ0Ed1mV79wRtSoH0sOjfRMRkXloB1cNC3BCJ9faee2+0kB67733YGNjo7Ns9uzZFU7ZSSQS7N+/3/jVERFRnaE3kIYMGWLOOoiIqI7TG0gffvihOesgIqI6rnZdESMiIovFQCIiIlFgIBERkSgwkMzI2sYGyQopfs8pm5uIE+MREf2LQy6YiQZAopUXJu9O+c9pxomI6iK2kMwkRSHF5F/l/znNOBFRXcVAMjENgGSFFNfzVJjj74qmjv82SjlbKxHRv3jKzoQ0AI6kqzHulzThNN3CHu5YfykHqQWlD83WylAiosppx7KTALgsL6mw3l1mBS8Hy/5KN3v1qampWL16NS5dugR7e3sEBQVh2rRpsLOzQ3p6OsLCwnDp0iV4enpi9uzZ6Nmzp/DcuLg4rF69GikpKejYsSMWLFgAb29vc78Fg6UopEIYAWUtoqXn7iK4iyvW/CHnbK1EZDDtWHb6hAU4wcvBTMWYiFlP2SmVSsydOxe2traIiIjAkiVL8Ouvv2LDhg3QaDQICQmBk5MToqKiMGTIEMybNw937twBAGRmZiIkJAQDBw5EdHQ0XF1dERISArVabc63UCWZD1RCGGkVlWrQtZEdzr3qzQ4NREQPMWsgXblyBSkpKfjwww/RsmVL+Pv7Y8qUKTh06BDi4uKQnJyM0NBQtGrVCmPHjkWnTp2EQVv37t0LHx8fjBkzBq1atcLChQuRlZWFuLg4c76FKvGsJ4W9tW7k2FtL4NNAytlaiYjKMWsgNW/eHOHh4ahXr56wTCKRQKlUIjExEW3btoWDw79tTj8/PyQkJAAAEhMT0aVLF2GdTCZDu3bthPVi1FSmQlSQpxBK2q7e3jKV0NmB9yQREZUx6zWkhg0bIiAgQHisVquxe/dudO7cGdnZ2XB3d9fZ3sXFBVlZWQCA7OxsuLm56V0vRhIAA7yscO5Vb2QWqVBPWYgOjcr+Bijf2YH3JBFRXVejXTLCw8Nx7do1REVF4dtvv60w95KtrS2USiUAQKFQwNZWd1IqGxsblJRU7G2idf36deMX/Zic//ffv/OAEqfGGPdLXoV7kn553gm2eWk1VmN5Yjp+/4W1mo4l1WtJtVZVUVFRpesLC61xPee2map5fD4+PnrX1UggaTQarF69Gt9//z0++eQTtG7dGnZ2digsLNTZrqSkBDKZDEBZOJUPH6VSCScnJ737qeyN14Tr16/Dx8cHv+cARaW5OuuKSjV4YOOAjiKpWVurJWCtpmNJ9VparVVlb29f6XoHBwf4NGv4uCWJgtlvjFWr1Vi6dCl++OEHhIWFoU+fPgAAd3d3yOVynW1zcnLg6uoKAGjUqFGF9XK5vMJpPEugr7ND2T1JRER1k9kDKTw8HIcPH8aKFSvQt29fYbmvry+SkpJ0mqXx8fHw9fUV1l+6dElYp1AokJSUJKwXq4c7L5Q4NYYGlXd2ICKqq8x6yi4hIQE7d+7E22+/jfbt2yM7O1tY5+/vD09PTyxevBiTJk3Cb7/9hsTERHzwwQcAgGHDhmHbtm2IjIzEs88+i8jISHh4eKB79+7mfAtV8qiRGqKC7DHAy0qns4OHvRTe7AZORHWcWVtIx48fBwB8+eWXGDx4sM6PRqPBqlWrcO/ePYwdOxYxMTFYuXIlGjduDABo3LgxVqxYgZ9//hljx46FXC7HqlWrYGUl3uH4ykZqyHjkgKoSAM1kKnRvCN6TREQEM7eQZs2ahVmzZuld7+3tjU2bNuld37NnT52hhMRGg7IQynyggmc9KXIUjx6pIbNIhWaymqmRiEisLHskPhF51Om5Lf280MbJGn/nlQrbcUBVInoc2sFV9dE36OrDxD4Aq3grszCPGkh10rF07BnaFC8eSNW5AZadF4ioqv5rcFVDiH0AVgaSkegbSFUKdYWRGni9iIioIvH2CLAwld1bpO28YJuXxjAiItKDgWQkvLeIiKh6eMrOCLS961zsgBMvNYOitBQudry3iIioKhhI1aABkFYsRVy2ElOPp8FVJsVbHZzR0dUWLnY1XR0RkWVhID0mbTfvxJxirLooh6tMiul+Llh67i6nlCCTKX+vW1O2wqkW4TWkKnh4XLprhdYY90sG1CjrTTemvbMQRoDuqAxExqD9I6jH7hT033cHAbtTcCRdzckdqdZgIBmo/JfBwduFQvjYW0sgkUDvqAxExlDZUFREtQEDyUDlvwzUmrIgiv4zFwt7uEMqAaeUIJPSd68b/+ih2oKBZKDyXwbaIJIrVFh/KQeO1hKs68tu32Q6nEeLajt2ajCQ9stAG0qpBaWITMzBgRea4f/dKURuiQbfXc9BcBdXSK2AIc0d0M6hlBecyWi097ppW+r8o6du+a+x7AxhyHh3pmDoGHoMJAM96ssgpKs7UvJLsPTcv/M6xWUVAwB6e9lBIuIxo8jySADOo1WHGWMsu5pi6Bh6DKQqkEkl2PZ8Y9wv0eBmXgkiEnMQ0s0NC3u4Qa0pO42XWlDKEb3JZLTzaJVNX8LfL6pdeA3JABqUdfOOyy6Bg40UWxPlcLCWYKKvC946koal57Kx+qIc0/1c0MbJmqdRiIgeAwPpP2i7e795+A5UauBydhEmPOmCwlINgk/qdsFdeu4utj3fhDfDEhE9BgbSf0hRSLHgzF2M93XBmj/kyC3WYPrxf2+IfVhRqQb5JezIQET0OBhIemhHZbiep8Jrbf8dheHhG2Af1QW3vi0vyxERPQ4G0iM8PCrDxexiSK10W0MP3xD78H1HC3u4Q1FaqudViYioMvxz/hHSiqVIzClGaHc3dHK1hdTKSrgHSRtES8/dxfpLOQjxd0XbhraoZy3BzbwSuMvYu46I6HEwkMrRAIjLVmLVRblwv9HaZz3weR9PzPo1Q7ghds/QpigoUQMSYP5vmfg7r6y7dzNHTzRmpwYioirjKbtyUhRSTD2u23tu5v/LRE5RKUL8XXHghabY9nwTyCRqNHW0FsJIuy0HuyQiejxsIZWjHbOuqaM1xrR3hkQCNLCRoI2zLa7klMBKIsGbh+8ILaKFPdyx/lIOUgv+DaXMIu2Ni0REZCi2kMrxrCdFGydrTPcr6+Yd/Wcu1JDgzcNp+PDMXbx8MBXjfV3Q1NFauPdoTHtn4fkc7JKI6PGwhVROU5kKa5/1wssHU4WJ95aUm3hv6bm7CO7iirDfs1FUqoH0f7HOwS6JyFSMMbiqnRSwk5r/Cre7zLC2DwPpIdru3n/nlQgBpG/iPcn/PlN7awmGNHdAby87DnZJRCZjjMFVwwKc0MnV1gjVmAYDCWVBlKKQ4naBGlfuKeFgLdGZauLhf2sfazT/tojaOZT+b2RvtoyIiB5Xnb+G9PBNsMN+SsWnF+Rwllnju8FN0MbJGtF/5uLDcjfAbunnhQHedjj3qjfHrSMiMpI630Iqm5o8Teca0exfMxDi74qQru64X1KK55raY0izR81BwxYREZGx1PkWUvmpyYGyUFIDCD6ZgU5uMrS2L0UzmQrdG5bNRcMWERGR8dX5QNJOTf4w7TWiolINpFAzgIiIzKDOB5J2avLyg6R+fTWX9xQREZlRnb+GJAEwwMsK5171xp+5pbgiL8H6SzmQK1S8p4iIyIzqfCA9zFMmQYsWDujdmPcUERGZW50PJG23b21PO+29Rd0agmFERGRGdf4aUlm3b93RvTliNxGR+dX5FpK+bt8csZuIxCQswKnar2HomHI1pc4Hkrbbd/mhgcp617FDAxGJg5jHoDMWccelGTyq2zd71xERmV+dbyE93O274tBARERkLnU+kICyUGom014zYsuIiKgm1PlTdkREJA4MJCIiEgUGEhERiQIDiYiIRIGBREREosBAIiIiUWAgERGRKDCQiIhIFCS5ubma/96MiIjItNhCIiIiUWAgERGRKDCQiIhIFBhIREQkCgwkI0hNTcWcOXPQr18/DB06FOHh4SguLgYAhIWFISAgQOdnx44dwnPj4uIwatQoBAYGYurUqUhJSTFprYcOHapQT0hICAAgPT0dM2bMQO/evfHaa68hNjZW57nmrPXAgQMV6tT+ZGRkiOq4lpSU4PXXX8f58+eFZdU9lrt27cLQoUPx7LPPYsmSJSgqKjJZrefPn8fYsWPRp08fvPLKK9i3b5/Oc15++eUKxzopKalGaq3u526uWhcvXvzI390RI0YIz6mp4ypmnH6impRKJebOnYuWLVsiIiIC9+7dw9KlSwEAs2fPxq1btzBz5kwMHDhQeI6joyMAIDMzEyEhIRg/fjx69eqFrVu3IiQkBDt27ICVlWn+Vrh16xaeffZZvPfee8IyOzs7aDQahISEoGXLloiKisKpU6cwb9487Ny5E02aNDF7rUFBQXjqqaeExxqNBnPnzkXjxo3h6ekpmuNaXFyMhQsX4ubNmzq1VudYnjhxAhs3bsTixYvh5uaGJUuWIDw8HKGhoUavNTk5GXPnzsX48eMRFBSEK1euYNmyZXBxcUFgYCBKSkqQlpaGiIgING7cWHies7MzAJi1VgDV+tzNWevcuXPx9ttvC49zcnIwZcoUjBo1CgBq7LiKHVtI1XTlyhWkpKTgww8/RMuWLeHv748pU6bg0KFDAMr+B2rfvj3c3NyEH5lMBgDYu3cvfHx8MGbMGLRq1QoLFy5EVlYW4uLiTFbvrVu30KZNG5166tevj7i4OCQnJyM0NBStWrXC2LFj0alTJ+zfv79GapXJZDo1njhxAhkZGXj//feF91HTx/XmzZsYP348UlNTdZZX91ju2LEDr732Gnr37o0OHTpg/vz5OHjwIB48eGD0Wo8ePQofHx+89dZb8Pb2xsCBAzF48GDh9/f27dsAgA4dOugca2tra7PXClTvczdnrY6Ojjo1RkZGomPHjnjttdcA1MxxtQQMpGpq3rw5wsPDUa9ePWGZRCKBUqlEdnY27t+/j+bNmz/yuYmJiejSpYvwWCaToV27dkhISDBZvbdu3XpkPYmJiWjbti0cHByEZX5+fkItNVGrVmFhISIiIjB58mQ0aNBANMc1Pj4ePXr0QGRkZIX9P+6xVKlUuHr1qs56X19fqFQqXLt2zei1BgUF4d1339VZJpFIhFPOt27dQpMmTYQvyoeZu9bqfO7mrvVhly9fxq+//org4GBhWU0cV0vAU3bV1LBhQwQEBAiP1Wo1du/ejc6dO+PWrVuQSqXYuHEjzpw5AycnJ4waNQpDhw4FUPY/mJubm87rubi4ICsryyS1KpVKpKam4rfffsPmzZuhVqvRr18/TJ48GdnZ2XB3d9dbi7lrfdiePXtga2srnH8Xy3F96aWXHrm8OscyPz8fxcXFOs+3traGk5NTterXV2v5L3e5XI4jR45g4sSJAP491rNmzcK1a9fQvHlzzJgxA76+vmavtTqfu7lrfdhXX32Fvn37onXr1hXeizmPqyVgIBlZeHg4rl27hqioKFy8eBEA4OPjg5EjR+LixYtYvnw5ZDIZgoKCoFAoYGtrq/N8GxsblJSUmKS25ORkqFQq2NvbY/ny5bhz5w4+++wzPHjwAMXFxbCxsdHZ3tbWFkqlEgDMXquWRqPBnj178Oqrrwp/Tf7zzz8AxHNcy1MoFI99LLUtk/LPt7GxEZ5vKkVFRZg3bx7c3d3x8ssvAyj74rx//z7eeecduLu7Y+/evZg+fTp27twJqVRq1lqr87nX1HHNyMjAmTNnEBERobNcTMdVTBhIRqLRaLB69Wp8//33+OSTT9C6dWu0atUKAwYMgJOTE4Cy/5GSk5Pxww8/ICgoCLa2thW+JJVKpbC9sbVu3RpHjhwRLpy2bdsWGo0GH3zwAUaMGIHCwkKd7UtKSoTz8+auVeuvv/5CamoqBg8eLCx75ZVXRHVcy7Ozs3vsY6n9Qi3/xaNUKmFnZ2eymgsKChAcHIw7d+5gy5YtQq3Lli2DQqEQOg7MmzcPly9fRkxMjBBa5qq1Op97TR3XY8eOoWnTpvD19dVZLqbjKia8hmQEarUaS5cuxQ8//ICwsDD06dMHQNm5+PJfgi1btsTdu3cBAI0aNYJcLtdZL5fLK5x2MCZtGGm1aNECpaWlcHNzq1BLTk4OXF1da6xWAIiNjUXHjh11Tl+I8bg+zN3d/bGPpZOTE+zs7HTWl5aWIi8vz2T15+bmYtq0aUhLS8PGjRvRtGlTYZ21tbXwpQmUHfvmzZvj7t27Zq+1Op97TRxXoOz3t2/fvhWWi+m4igkDyQjCw8Nx+PBhrFixQueXLzw8XOdCJgBcu3YNLVq0AFB2ofLSpUvCOoVCgaSkpAp/TRnLiRMnMHDgQJ2/vJKSklC/fn34+voiKSlJ516H+Ph4oRZz16qVmJgIf39/nWViO67lVedYWllZoX379oiPjxfWJyQkQCqVol27dkavValUYs6cOcjNzcWmTZsqXFMaN24coqOjhcdqtRp///03mjdvbvZaq/O5m7tWoOysyZ9//lnh9xcQ13EVEwZSNSUkJGDnzp2YPHky2rdvj+zsbOGnd+/eOHPmDHbt2oXU1FTs3r0bMTExePPNNwEAw4YNw5UrVxAZGYmbN29i2bJl8PDwQPfu3U1Sa5cuXaDRaBAWFobbt2/jt99+w9q1a/Hmm2+ia9eu8PT0xOLFi3Hjxg1ER0cjMTFR6Ehg7lq1bt68iVatWuksE9txLc/f379ax/KVV17Bt99+ixMnTuDPP//EypUrMWzYMJ2enMby7bff4urVq1i4cCFkMpnwu5uXlwcA6NWrF7Zt24bTp0/j9u3bWLFiBe7fv48XXnjB7LVW93M3Z61A2c3RhYWFFX5/AXEdVzHh9BPV9Pnnn2P79u2PXBcbG4sTJ05g69atSE1NRZMmTTB16lSdVlRsbCzWrFmDjIwM+Pr6YsGCBTqnTIzt2rVrCA8Px59//glHR0e8+OKLmDBhAiQSCVJSUrBs2TJcuXIFTZo0QXBwsM7NqeauFQACAwOxfPly9OrVS2f50aNHRXVcAwICsG7dOqHHZXWPZXR0NHbs2IGSkhLhRmbtdR1j1jpmzBj89ddfFbbx8/PDli1boFKpsHXrVvz000/Izc2Fr68v5s6dizZt2pi9VqD6n7s5a01MTMT48ePx66+/wt7eXmfbmj6uYsVAIiIiUeApOyIiEgUGEhERiQIDiYiIRIGBREREosBAIiIiUWAgkVloNOzM+Th43KguYSCRXtpZW6s62+rw4cPx4YcfCo/37duHNWvWCI83b96MgIAAlJaWmrSWtLQ0BAQEYO/evQY/p6oWL14sjDZtbOWPW2V27NiB+fPnA/j3fT/88/TTT2PQoEFYtGgRMjMzq1zL999/j7lz51b5eURVwcFVyeiWL1+uMxdQZGQk/Pz8hMcvvPACAgICHjkXDP2r/HHT5/bt24iIiMA333yjs3zMmDHCDcVKpRIZGRnYunUr3n77bezYsaPCaNKVeemll/Djjz9i3759GD58eNXeCJGB+I1ARtehQ4dK13t6esLT09NM1dR+X3zxBfr166czFTYANG3aFJ07d9ZZ5u7ujpkzZ+L8+fN45plnDN6HlZUVxo8fj5UrV+L555+v9SMGUM3gKTsy2IULFxAQEICLFy8iODgYvXv3RlBQEJYvXw6FQiFs9/Apu4CAAKSnp+PQoUPCkCrlT9mpVCpER0fj9ddfR2BgIHr37o0JEybg/PnzRqlbLpcjJCQEgYGBGDp0KDZu3KhzunDq1KmYNGmSznNSUlIQEBCAAwcOCMuysrIQGhqKfv36oX///ti8efMjr/Fs27YNI0aMQGBgICZNmoTTp08jICAAFy5cELa5efMm5syZg759+6JPnz4IDg4WprXWd9we5e+//8apU6cwcOBAg47Fo6bgCAgIwA8//IAVK1agf//+CAwMxOzZsytMyx0YGAilUok9e/YYtC+iqmIgUZW9//778PHxwcqVK/Hqq69iz549eqdw3rx5M1xdXdGjRw9s3rz5kdt8+eWXiIiIwLBhw/DZZ59h/vz5yM3NRWhoKB48eFDteiMiIlCvXj0sX74cgwcPRlRUFDZs2FCl11AoFJgyZQoSExMRHByM0NBQxMbG4ujRoxX29cUXX6Bv37745JNP8MQTTwjXdrRSUlIwceJEZGRkIDQ0FAsWLMD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      statesInitial_budget (Bn)Revised_budget (Bn)Budget difference (%)
      0Abia136.60102.70-24.816984
      1Adamawa183.30139.31-23.998909
      2Akwa-Ibom597.73366.00-38.768340
      3Anambra137.10112.80-17.724289
      4Bauchi167.20128.00-23.444976
      5Bayelsa242.18183.15-24.374432
      6Benue189.00119.00-37.037037
      7Borno146.80108.80-25.885559
      8Cross River1100.00147.10-86.627273
      9Delta395.50282.30-28.621997
      10Ebonyi178.40131.80-26.121076
      11Edo179.20128.80-28.125000
      12Ekiti124.5091.10-26.827309
      13Enugu169.56146.40-13.658882
      14Gombe130.83107.40-17.908737
      15Imo197.60108.30-45.192308
      16Jigawa152.92124.00-18.911849
      17Kaduna259.25223.60-13.751205
      18Kano200.00138.00-31.000000
      19Katsina244.00213.00-12.704918
      20Kebbi138.0099.60-27.826087
      21Kogi176.00102.00-42.045455
      22Kwara160.00120.00-25.000000
      23Lagos1680.00920.50-45.208333
      24Nasarawa108.4062.96-41.918819
      25Niger155.0098.00-36.774194
      26Ogun449.90280.00-37.763948
      27Ondo187.80151.40-19.382322
      28Osun119.6082.20-31.270903
      29Oyo213.00174.00-18.309859
      30Plateau177.30122.00-31.190073
      31Rivers530.80300.40-43.406179
      32Sokoto202.40153.00-24.407115
      33Taraba215.00150.50-30.000000
      34Yobe108.0086.00-20.370370
      35Zamfara188.50127.30-32.466844
      36FCT278.78199.00-28.617548
      \n", + "
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Subject: [PATCH 16/19] Add files via upload --- ...ID-19-Data-Analysis-Using-Python (1).ipynb | 8199 +++++++++++++++++ ...OVID-19 Data Analysis Project.doc (1).docx | Bin 0 -> 643078 bytes ncdcdata.csv | 38 + 3 files changed, 8237 insertions(+) create mode 100644 Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb create mode 100644 Updated Executive Summary on COVID-19 Data Analysis Project.doc (1).docx create mode 100644 ncdcdata.csv diff --git a/Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb b/Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb new file mode 100644 index 00000000..68485367 --- /dev/null +++ b/Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python (1).ipynb @@ -0,0 +1,8199 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "cf1b9a47", + "metadata": {}, + "source": [ + "# Task 1 - Data Collection\n", + "Here you will obtain the required data for the analysis. As described in the project instructions, you will perform a web scrap to obtain data from the NCDC website, import data from the JoHn Hopkins repository, and import the provided external data.\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "844c4c23", + "metadata": {}, + "source": [ + "# A - NCDC Website scrap\n", + "Website - https://covid19.ncdc.gov.ng/" + ] + }, + { + "cell_type": "code", + "execution_count": 459, + "id": "eb9c700f", + "metadata": {}, + "outputs": [], + "source": [ + "# Importing all libraries\n", + "import os\n", + "os.chdir('C:\\\\Users\\\\OCHAI ODEH\\\\Downloads\\\\Nigeriadata')\n", + "import requests\n", + "import numpy as np\n", + "import urllib.request\n", + "import pandas as pd\n", + "import csv\n", + "from bs4 import BeautifulSoup\n", + "import seaborn as sns\n", + "sns.set_style(\"darkgrid\")\n", + "import matplotlib.pyplot as plt\n", + "%matplotlib inline\n", + "plt.style.use('fivethirtyeight') \n", + "import warnings\n", + "warnings.filterwarnings('ignore')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 292, + "id": "2fb9112c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 292, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# checking response of server to get url request\n", + "\n", + "url = 'https://covid19.ncdc.gov.ng'\n", + "status_code = requests.get(url)\n", + "status_code" + ] + }, + { + "cell_type": "code", + "execution_count": 293, + "id": "416ceaad", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", + "0 Lagos 103145 2 \n", + "1 FCT 29161 120 \n", + "2 Rivers 17755 180 \n", + "3 Kaduna 11487 20 \n", + "4 Oyo 10328 2 \n", + "5 Plateau 10309 27 \n", + "6 Edo 7821 102 \n", + "7 Ogun 5810 11 \n", + "8 Delta 5653 371 \n", + "9 Kano 5186 50 \n", + "10 Ondo 5173 315 \n", + "11 Akwa Ibom 4973 22 \n", + "12 Kwara 4680 441 \n", + "13 Osun 3311 29 \n", + "14 Gombe 3310 6 \n", + "15 Enugu 2952 13 \n", + "16 Anambra 2825 46 \n", + "17 Nasarawa 2777 393 \n", + "18 Imo 2655 7 \n", + "19 Ekiti 2456 37 \n", + "20 Katsina 2418 0 \n", + "21 Abia 2239 13 \n", + "22 Benue 2129 340 \n", + "23 Ebonyi 2064 28 \n", + "24 Bauchi 1990 18 \n", + "25 Borno 1629 5 \n", + "26 Taraba 1473 62 \n", + "27 Bayelsa 1363 10 \n", + "28 Adamawa 1203 68 \n", + "29 Niger 1181 163 \n", + "30 Cross River 877 4 \n", + "31 Sokoto 822 0 \n", + "32 Jigawa 669 2 \n", + "33 Yobe 638 4 \n", + "34 Kebbi 480 10 \n", + "35 Zamfara 375 0 \n", + "36 Kogi 5 0 \n", + "\n", + " No. Discharged No. of Deaths \n", + "0 102372 771 \n", + "1 28792 249 \n", + "2 17420 155 \n", + "3 11378 89 \n", + "4 10124 202 \n", + "5 10207 75 \n", + "6 7398 321 \n", + "7 5717 82 \n", + "8 5170 112 \n", + "9 5009 127 \n", + "10 4749 109 \n", + "11 4907 44 \n", + "12 4175 64 \n", + "13 3190 92 \n", + "14 3238 66 \n", + "15 2910 29 \n", + "16 2760 19 \n", + "17 2345 39 \n", + "18 2590 58 \n", + "19 2391 28 \n", + "20 2381 37 \n", + "21 2192 34 \n", + "22 1764 25 \n", + "23 2004 32 \n", + "24 1948 24 \n", + "25 1580 44 \n", + "26 1377 34 \n", + "27 1325 28 \n", + "28 1103 32 \n", + "29 998 20 \n", + "30 848 25 \n", + "31 794 28 \n", + "32 649 18 \n", + "33 625 9 \n", + "34 454 16 \n", + "35 366 9 \n", + "36 3 2 \n" + ] + } + ], + "source": [ + "# Reading NCDC data from url to a DataFrame object.\n", + "url = 'https://covid19.ncdc.gov.ng'\n", + "html = requests.get(url).content\n", + "df_list = pd.read_html(html)\n", + "\n", + "#Saving the data from link to object nig_covid_cases\n", + "ncdcdata = df_list[-1]\n", + "print(ncdcdata)\n", + "ncdcdata.to_csv('ncdcdata.csv')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 294, + "id": "15f66650", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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z{WuM0-2i|%pWi89s{f>5{u{;E=aA_BXaK-F0RX`KM@2}eLH-j)|D%GL{cju_p|x{b z1^|GN+3zyw8vf*9`y0jVB^wrN0RT`?{5!<}7U&-`IQ~ZQuHa$&@ErhH0n+@lCIW4L zQZWCuLE|2dXLd^gfT_ygWqeWw`$GoT-((0DY&+P<0RTyAzsvaX_9q4NU!6i=48fOL z2mlzB{4PUT7W@wxEPs=6)!RTlBtC0PhyX9sj6@be5Tae)8_3BdmY D{P^@i literal 0 HcmV?d00001 From d927ffd72c6398b186120e860894753a2980e0f2 Mon Sep 17 00:00:00 2001 From: Ochai2018 <45337793+Ochai2018@users.noreply.github.com> Date: Tue, 30 Aug 2022 16:25:36 -0700 Subject: [PATCH 13/19] Delete Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb --- ...-COVID-19-Data-Analysis-Using-Python.ipynb | 6329 ----------------- 1 file changed, 6329 deletions(-) delete mode 100644 Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb diff --git a/Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb b/Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb deleted file mode 100644 index 3a49ac08..00000000 --- a/Ochai.Project.Submission.Nigeria-COVID-19-Data-Analysis-Using-Python.ipynb +++ /dev/null @@ -1,6329 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "cf1b9a47", - "metadata": {}, - "source": [ - "# Task 1 - Data Collection\n", - "Here you will obtain the required data for the analysis. As described in the project instructions, you will perform a web scrap to obtain data from the NCDC website, import data from the JoHn Hopkins repository, and import the provided external data.\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "844c4c23", - "metadata": {}, - "source": [ - "# A - NCDC Website scrap\n", - "Website - https://covid19.ncdc.gov.ng/" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "eb9c700f", - "metadata": {}, - "outputs": [], - "source": [ - "# Importing all libraries\n", - "import os\n", - "os.chdir('C:\\\\Users\\\\OCHAI ODEH\\\\Downloads\\\\Nigeriadata')\n", - "import requests\n", - "import numpy as np\n", - "import urllib.request\n", - "import pandas as pd\n", - "import csv\n", - "from bs4 import BeautifulSoup\n", - "import seaborn as sns\n", - "sns.set_style(\"darkgrid\")\n", - "import matplotlib.pyplot as plt\n", - "%matplotlib inline\n", - "plt.style.use('fivethirtyeight') \n", - "import warnings\n", - "warnings.filterwarnings('ignore')\n" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "2fb9112c", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# checking response of server to get url request\n", - "\n", - "url = 'https://covid19.ncdc.gov.ng'\n", - "status_code = requests.get(url)\n", - "status_code" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "416ceaad", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " States Affected No. of Cases (Lab Confirmed) No. of Cases (on admission) \\\n", - "0 Lagos 102877 129 \n", - "1 FCT 29075 146 \n", - "2 Rivers 17680 262 \n", - "3 Kaduna 11467 11 \n", - "4 Oyo 10327 6 \n", - "5 Plateau 10292 18 \n", - "6 Edo 7821 102 \n", - "7 Ogun 5810 11 \n", - "8 Delta 5631 349 \n", - "9 Ondo 5173 315 \n", - "10 Kano 5169 41 \n", - "11 Akwa Ibom 4973 22 \n", - "12 Kwara 4680 441 \n", - "13 Osun 3311 36 \n", - "14 Gombe 3310 6 \n", - "15 Enugu 2952 13 \n", - "16 Anambra 2825 46 \n", - "17 Nasarawa 2777 393 \n", - "18 Imo 2655 7 \n", - "19 Ekiti 2447 46 \n", - "20 Katsina 2418 0 \n", - "21 Abia 2226 11 \n", - "22 Benue 2129 340 \n", - "23 Ebonyi 2064 28 \n", - "24 Bauchi 1979 8 \n", - "25 Borno 1629 5 \n", - "26 Taraba 1473 62 \n", - "27 Bayelsa 1363 10 \n", - "28 Adamawa 1203 68 \n", - "29 Niger 1150 132 \n", - "30 Cross River 873 3 \n", - "31 Sokoto 822 0 \n", - "32 Jigawa 669 2 \n", - "33 Yobe 638 4 \n", - "34 Kebbi 480 10 \n", - "35 Zamfara 375 0 \n", - "36 Kogi 5 0 \n", - "\n", - " No. Discharged No. of Deaths \n", - "0 101977 771 \n", - "1 28680 249 \n", - "2 17264 154 \n", - "3 11367 89 \n", - "4 10119 202 \n", - "5 10199 75 \n", - "6 7398 321 \n", - "7 5717 82 \n", - "8 5170 112 \n", - "9 4749 109 \n", - "10 5001 127 \n", - "11 4907 44 \n", - "12 4175 64 \n", - "13 3183 92 \n", - "14 3238 66 \n", - "15 2910 29 \n", - "16 2760 19 \n", - "17 2345 39 \n", - "18 2590 58 \n", - "19 2373 28 \n", - "20 2381 37 \n", - "21 2181 34 \n", - "22 1764 25 \n", - "23 2004 32 \n", - "24 1947 24 \n", - "25 1580 44 \n", - "26 1377 34 \n", - "27 1325 28 \n", - "28 1103 32 \n", - "29 998 20 \n", - "30 845 25 \n", - "31 794 28 \n", - "32 649 18 \n", - "33 625 9 \n", - "34 454 16 \n", - "35 366 9 \n", - "36 3 2 \n" - ] - } - ], - "source": [ - "# Reading NCDC data from url to a DataFrame object.\n", - "url = 'https://covid19.ncdc.gov.ng'\n", - "html = requests.get(url).content\n", - "df_list = pd.read_html(html)\n", - "\n", - "#Saving the data from link to object nig_covid_cases\n", - "nig_covid_cases = df_list[-1]\n", - "print(nig_covid_cases)\n", - "nig_covid_cases.to_csv('ncdcdata.csv')\n" - ] - }, - { - "cell_type": "markdown", - "id": "fb9a9282", - "metadata": {}, - "source": [ - "# B - John Hopkins Data Repository\n", - "Here you will obtain data from the John Hopkins repository. Your task here involves saving the data from the GitHub repo link to DataFrame for further analysis. Find the links below.\n", - "\n", - "Global Daily Confirmed Cases - Click Here Global Daily Recovered Cases - Click Here Global Daily Death Cases - Click Here\n", - "\n", - "\n" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "980b61f4", - "metadata": {}, - "outputs": [], - "source": [ - "#Saving the data from John Hopkin's repository's link into a DataFrame object\n", - "\n", - "confirmed_global= pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv')\n", - "covid19_recovered_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_recovered_global.csv')\n", - "covid19_deaths_global = pd.read_csv('https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "2e75c02c", - "metadata": {}, - "outputs": [], - "source": [ - "JH_confirmed_global=confirmed_global\n", - "JH_deaths_global=covid19_deaths_global\n", - "JH_recovered_global=covid19_recovered_global" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "id": "184a6b6a", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "