From 0444e082d19ff9adf3fbd7ea516e5fd35b39639b Mon Sep 17 00:00:00 2001 From: JoseVelazquezR Date: Mon, 25 Apr 2022 17:47:56 -0500 Subject: [PATCH] laboratorio terminado --- .../challenge-1-checkpoint.ipynb | 599 ++++++++++++ .../challenge-2-checkpoint.ipynb | 694 ++++++++++++++ .../challenge-3-checkpoint.ipynb | 879 ++++++++++++++++++ your-code/challenge-1.ipynb | 436 +++++++-- your-code/challenge-2.ipynb | 586 +++++++++++- your-code/challenge-3.ipynb | 639 +++++++++++-- 6 files changed, 3680 insertions(+), 153 deletions(-) create mode 100644 your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb create mode 100644 your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb create mode 100644 your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb diff --git a/your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb b/your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb new file mode 100644 index 0000000..c419fd4 --- /dev/null +++ b/your-code/.ipynb_checkpoints/challenge-1-checkpoint.ipynb @@ -0,0 +1,599 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Before you start :\n", + " - These exercises are related to the Exploratory data analysis using matplotlib and seaborn.\n", + " - Keep in mind that you need to use some of the functions you learned in the previous lessons.\n", + " - The datasets for Challenge 2 and 3 are provided in the `your-code` folder of this lab.\n", + " - Elaborate your codes and outputs as much as you can.\n", + " - Try your best to answer the questions and complete the tasks and most importantly enjoy the process!!!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 1" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Import all the libraries that are necessary." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import libraries here\n", + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Define data." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.arange(0,100)\n", + "y = x*2\n", + "z = x**2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Plot (x,y) and (x,z) on the axes.\n", + "\n", + "#### There are 2 ways of doing this. Do in both ways.\n", + "\n", + "*Hint: Check out the `nrows`, `ncols`, and `index` arguments of [subplots](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.subplot.html)*\n", + "\n", + "#### Also, play around with the linewidth and style. Use the ones you're most happy with." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# your code here-1st way (call `subplots` twice using the `index` parameter)\n", + "plt.subplots()\n", + "ax1 = plt.subplot(2,1,1) # orden de argumentos: num filas, num columnas, indice de grafica\n", + "ax1.plot(x,y)\n", + "ax2 = plt.subplot(2,1,2)\n", + "ax2.plot(x,z)\n", + "plt.show();" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# your code here-2st way (call `subplots` only once not using the `index` parameter)\n", + "fig, ax = plt.subplots(nrows=2, ncols=1)\n", + "ax[0].plot(x,y)\n", + "ax[1].plot(x,z)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Augmenting your previous code, resize your previous plot.\n", + "\n", + "*Hint: Add the `figsize` argument in `plt.subplots()`*" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "# esta función especifica primero el orden de gráficas y después en cada 'ax' se especifican los parámetros\n", + "fig, ax = plt.subplots(nrows=2, ncols=1, figsize=(10,5))\n", + "ax[0].plot(x,y)\n", + "ax[1].plot(x,z)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Augmenting your previous code, label your axes.\n", + "\n", + "*Hint: call `set_xlabel` and `set_ylabel`*" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "fig, ax = plt.subplots(nrows=2, ncols=1, figsize=(5,5))\n", + "ax[0].plot(x,y)\n", + "ax[0].set_xlabel('X')\n", + "ax[0].set_ylabel('Y')\n", + "ax[1].plot(x,z)\n", + "ax[1].set_xlabel('X')\n", + "ax[1].set_ylabel('Y')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Plot both `y=x^2` and `y=exp(x)` in the same plot using normal and logarithmic scale.\n", + "\n", + "*Hint: Use `set_xscale` and `set_yscale`*" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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MakeModelYearEngine DisplacementCylindersTransmissionDrivetrainVehicle ClassFuel TypeFuel Barrels/YearCity MPGHighway MPGCombined MPGCO2 Emission Grams/MileFuel Cost/Year
0AM GeneralDJ Po Vehicle 2WD19842.54.0Automatic 3-spd2-Wheel DriveSpecial Purpose Vehicle 2WDRegular19.388824181717522.7647061950
1AM GeneralFJ8c Post Office19844.26.0Automatic 3-spd2-Wheel DriveSpecial Purpose Vehicle 2WDRegular25.354615131313683.6153852550
2AM GeneralPost Office DJ5 2WD19852.54.0Automatic 3-spdRear-Wheel DriveSpecial Purpose Vehicle 2WDRegular20.600625161716555.4375002100
3AM GeneralPost Office DJ8 2WD19854.26.0Automatic 3-spdRear-Wheel DriveSpecial Purpose Vehicle 2WDRegular25.354615131313683.6153852550
4ASC IncorporatedGNX19873.86.0Automatic 4-spdRear-Wheel DriveMidsize CarsPremium20.600625142116555.4375002550
\n", + "
" + ], + "text/plain": [ + " Make Model Year Engine Displacement \\\n", + "0 AM General DJ Po Vehicle 2WD 1984 2.5 \n", + "1 AM General FJ8c Post Office 1984 4.2 \n", + "2 AM General Post Office DJ5 2WD 1985 2.5 \n", + "3 AM General Post Office DJ8 2WD 1985 4.2 \n", + "4 ASC Incorporated GNX 1987 3.8 \n", + "\n", + " Cylinders Transmission Drivetrain Vehicle Class \\\n", + "0 4.0 Automatic 3-spd 2-Wheel Drive Special Purpose Vehicle 2WD \n", + "1 6.0 Automatic 3-spd 2-Wheel Drive Special Purpose Vehicle 2WD \n", + "2 4.0 Automatic 3-spd Rear-Wheel Drive Special Purpose Vehicle 2WD \n", + "3 6.0 Automatic 3-spd Rear-Wheel Drive Special Purpose Vehicle 2WD \n", + "4 6.0 Automatic 4-spd Rear-Wheel Drive Midsize Cars \n", + "\n", + " Fuel Type Fuel Barrels/Year City MPG Highway MPG Combined MPG \\\n", + "0 Regular 19.388824 18 17 17 \n", + "1 Regular 25.354615 13 13 13 \n", + "2 Regular 20.600625 16 17 16 \n", + "3 Regular 25.354615 13 13 13 \n", + "4 Premium 20.600625 14 21 16 \n", + "\n", + " CO2 Emission Grams/Mile Fuel Cost/Year \n", + "0 522.764706 1950 \n", + "1 683.615385 2550 \n", + "2 555.437500 2100 \n", + "3 683.615385 2550 \n", + "4 555.437500 2550 " + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vehicles = pd.read_csv('vehicles.csv')\n", + "vehicles.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Scatter Plot\n", + "\n", + "Please provide a scatter plot between \"Combined MPG\" as X variable and \n", + "\"Highway MPG\" as Y variable" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "x = vehicles['Combined MPG']\n", + "y = vehicles['Highway MPG']\n", + "\n", + "plt.style.use('ggplot')\n", + "plt.figure(figsize=(10, 5))\n", + "plt.scatter(x, y)\n", + "plt.show();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Box Whisker Plot\n", + "\n", + "Please provide a box plot of the variable \"CO2 Emission Grams/mile\"" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "x = vehicles['CO2 Emission Grams/Mile']\n", + "plt.boxplot(x)\n", + "plt.show();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Histogram\n", + "\n", + "Please provide a histogram of the Fuel Barrels/Year" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "x = vehicles['Fuel Barrels/Year']\n", + "\n", + "plt.hist(x, bins=10)\n", + "plt.show();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Bar Chart\n", + "\n", + "Please provide a bar chart of the Fuel Type on the X axis and \"City MPG\" on the Y axis" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "x = vehicles['Fuel Type']\n", + "y = vehicles['City MPG']\n", + "\n", + "plt.bar(x,y)\n", + "plt.xticks(rotation='vertical')\n", + "plt.show();" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "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": "3.10.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb b/your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb new file mode 100644 index 0000000..3730786 --- /dev/null +++ b/your-code/.ipynb_checkpoints/challenge-2-checkpoint.ipynb @@ -0,0 +1,694 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this lab you will partner with another student to conduct **[pair programming](https://en.wikipedia.org/wiki/Pair_programming)**. In the next 60 minutes there will be 2 coding sessions of 30 minutes each. In each sessoin, one student will be the **driver** to write the code to solve the problem while the other student will be the **observer** to watch and review. There will be several iterations of your code because the observer will help the driver review the codes and make improvements until the 15 minute session ends. After the coding session ends, the driver and observer will switch roles." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Import all the libraries that are necessary" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import libraries here\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "# %matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Preparation\n", + "\n", + "#### Import the `Fitbit2.csv` file and name your dataset `fitbit`" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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DateCalorie burnedStepsDistanceFloorsMinutes SedentaryMinutes Lightly ActiveMinutes Fairly ActiveMinutes Very ActiveActivity Calories...Distance_milesDaysDays_encodedWork_or_WeekendHours SleepSleep efficiencyYesterday_sleepYesterday_sleep_efficiencyMonthsMonths_encoded
02015-05-0819349050.6501.35546001680...0.403891Friday4.016.40000092.0863310.0000000.000000May5
12015-05-0936311892514.114611.00031661602248...8.767545Saturday5.007.56666792.4643586.40000092.086331May5
22015-05-1032041422810.571602.00022614771719...6.567891Sunday6.006.45000088.7614687.56666792.464358May5
32015-05-11267367565.028749.0001902349620...3.119282Monday0.015.18333388.8571436.45000088.761468May5
42015-05-1224955023.731876.000171007360...2.317714Tuesday1.016.78333382.8920575.18333388.857143May5
\n", + "

5 rows × 24 columns

\n", + "
" + ], + "text/plain": [ + " Date Calorie burned Steps Distance Floors Minutes Sedentary \\\n", + "0 2015-05-08 1934 905 0.65 0 1.355 \n", + "1 2015-05-09 3631 18925 14.11 4 611.000 \n", + "2 2015-05-10 3204 14228 10.57 1 602.000 \n", + "3 2015-05-11 2673 6756 5.02 8 749.000 \n", + "4 2015-05-12 2495 502 3.73 1 876.000 \n", + "\n", + " Minutes Lightly Active Minutes Fairly Active Minutes Very Active \\\n", + "0 46 0 0 \n", + "1 316 61 60 \n", + "2 226 14 77 \n", + "3 190 23 4 \n", + "4 171 0 0 \n", + "\n", + " Activity Calories ... Distance_miles Days Days_encoded \\\n", + "0 1680 ... 0.403891 Friday 4.0 \n", + "1 2248 ... 8.767545 Saturday 5.0 \n", + "2 1719 ... 6.567891 Sunday 6.0 \n", + "3 9620 ... 3.119282 Monday 0.0 \n", + "4 7360 ... 2.317714 Tuesday 1.0 \n", + "\n", + " Work_or_Weekend Hours Sleep Sleep efficiency Yesterday_sleep \\\n", + "0 1 6.400000 92.086331 0.000000 \n", + "1 0 7.566667 92.464358 6.400000 \n", + "2 0 6.450000 88.761468 7.566667 \n", + "3 1 5.183333 88.857143 6.450000 \n", + "4 1 6.783333 82.892057 5.183333 \n", + "\n", + " Yesterday_sleep_efficiency Months Months_encoded \n", + "0 0.000000 May 5 \n", + "1 92.086331 May 5 \n", + "2 92.464358 May 5 \n", + "3 88.761468 May 5 \n", + "4 88.857143 May 5 \n", + "\n", + "[5 rows x 24 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fitbit=pd.read_csv('Fitbit2.csv')\n", + "\n", + "fitbit.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Coding Session I - 30 minutes\n", + "\n", + "From the Fitbit data, we want to visually understand: \n", + "\n", + "1. **How the average number of steps change by month. Use the appropriate visualization to show the median steps by month?**\n", + "1. **Is Fitbitter more active on weekend or workdays?**\n", + "\n", + "##### All plots must be in the same jupyter notebook cell.\n", + "\n", + "Hints:\n", + "\n", + "- Use `Months_encoded` and `Week_or Weekend` columns\n", + "- Use `matplolib.pyplot` object oriented API\n", + "- Set your size figure to `12,4`\n", + "- Explore `plt.sca`\n", + "- Explore `plt.xticks`\n", + "- Save your figures" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " Months_encoded Steps\n", + "0 1 9892.064516\n", + "1 2 8922.866667\n", + "2 3 10312.935484\n", + "3 4 13079.033333\n", + "4 5 10620.096774\n", + "5 6 12536.166667\n", + "6 7 9193.322581\n", + "7 8 11584.774194\n", + "8 9 9191.333333\n", + "9 10 8272.451613\n", + "10 11 9467.466667\n", + "11 12 8470.064516" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Driver 1 enter codes here\n", + "# df_semana = df.groupby('week', as_index=False).agg({'sale_usd': 'sum', \n", + "# 'bottles_sold': 'sum'})\n", + "\n", + "# steps = fitbit.groupby(['Months','Work_or_Weekend'], as_index=False).agg({'Steps':'mean'})\n", + "steps = fitbit.groupby(['Months_encoded'], as_index=False).agg({'Steps':'mean'})\n", + "steps\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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Work_or_WeekendSteps
0010064.238095
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" + ], + "text/plain": [ + " Work_or_Weekend Steps\n", + "0 0 10064.238095\n", + "1 1 10144.572519" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "active = fitbit.groupby(['Work_or_Weekend'], as_index=False).agg({'Steps':'mean'})\n", + "active" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.style.use('ggplot')\n", + "plt.figure(figsize=(12, 4))\n", + "# plt.plot(steps['Months_encoded'],steps['Steps'],linestyle='dashed')\n", + "plt.scatter(active['Work_or_Weekend'],active['Steps'])\n", + "plt.xticks(ticks=[i for i in range(0,2)], labels=['Weekend', 'Work'])\n", + "plt.show();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Coding Session II - 30 minutes\n", + "\n", + "**Write a loop to plot 3 scatter plots of the following features:**\n", + "\n", + "1. **`Minutes Lightly Active` vs `Steps`**\n", + "1. **`Minutes Very Active` vs `Steps`**\n", + "1. **`Minutes Sedentary` vs `Steps`**" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 367 entries, 0 to 366\n", + "Data columns (total 24 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Date 367 non-null object \n", + " 1 Calorie burned 367 non-null int64 \n", + " 2 Steps 367 non-null int64 \n", + " 3 Distance 367 non-null float64\n", + " 4 Floors 367 non-null int64 \n", + " 5 Minutes Sedentary 367 non-null float64\n", + " 6 Minutes Lightly Active 367 non-null int64 \n", + " 7 Minutes Fairly Active 367 non-null int64 \n", + " 8 Minutes Very Active 367 non-null int64 \n", + " 9 Activity Calories 367 non-null int64 \n", + " 10 MinutesOfSleep 367 non-null int64 \n", + " 11 MinutesOfBeingAwake 367 non-null int64 \n", + " 12 NumberOfAwakings 367 non-null int64 \n", + " 13 LengthOfRestInMinutes 367 non-null int64 \n", + " 14 Distance_miles 367 non-null float64\n", + " 15 Days 367 non-null object \n", + " 16 Days_encoded 367 non-null float64\n", + " 17 Work_or_Weekend 367 non-null int64 \n", + " 18 Hours Sleep 367 non-null float64\n", + " 19 Sleep efficiency 367 non-null float64\n", + " 20 Yesterday_sleep 367 non-null float64\n", + " 21 Yesterday_sleep_efficiency 367 non-null float64\n", + " 22 Months 367 non-null object \n", + " 23 Months_encoded 367 non-null int64 \n", + "dtypes: float64(8), int64(13), object(3)\n", + "memory usage: 68.9+ KB\n" + ] + } + ], + "source": [ + "fitbit.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Date', 'Calorie burned', 'Steps', 'Distance', 'Floors',\n", + " 'Minutes Sedentary', 'Minutes Lightly Active', 'Minutes Fairly Active',\n", + " 'Minutes Very Active', 'Activity Calories', 'MinutesOfSleep',\n", + " 'MinutesOfBeingAwake', 'NumberOfAwakings', 'LengthOfRestInMinutes',\n", + " 'Distance_miles', 'Days', 'Days_encoded', 'Work_or_Weekend',\n", + " 'Hours Sleep', 'Sleep efficiency', 'Yesterday_sleep',\n", + " 'Yesterday_sleep_efficiency', 'Months', 'Months_encoded'],\n", + " dtype='object')" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fitbit.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Driver 2 enter codes here\n", + "columns = ['Minutes Sedentary','Minutes Lightly Active','Minutes Very Active']\n", + "for column in columns:\n", + " plt.scatter(fitbit.loc[:,column],fitbit.iloc[:,2])\n", + " plt.xlabel(column, fontsize=15)\n", + " plt.ylabel('Steps', fontsize=15)\n", + " plt.show();" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "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": "3.10.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb b/your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb new file mode 100644 index 0000000..777d402 --- /dev/null +++ b/your-code/.ipynb_checkpoints/challenge-3-checkpoint.ipynb @@ -0,0 +1,879 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Challenge 3" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "# import libraries here\n", + "import pandas as pd\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "# %matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Import the titanic file. Name your dataset `titanic`." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "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", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
PassengerIdSurvivedPclassNameGenderAgeSibSpParchTicketFareCabinEmbarked
010.03Braund, Mr. Owen Harrismale22.010A/5 211717.2500U0S
121.01Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
231.03Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250U0S
341.01Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
450.03Allen, Mr. William Henrymale35.0003734508.0500U0S
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0.0 3 \n", + "1 2 1.0 1 \n", + "2 3 1.0 3 \n", + "3 4 1.0 1 \n", + "4 5 0.0 3 \n", + "\n", + " Name Gender Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 U0 S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 U0 S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 U0 S " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "titanic = pd.read_csv('./titanic.csv',low_memory=False)\n", + "titanic.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Explore the titanic dataset using Pandas dtypes" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "PassengerId int64\n", + "Survived float64\n", + "Pclass int64\n", + "Name object\n", + "Gender object\n", + "Age float64\n", + "SibSp int64\n", + "Parch int64\n", + "Ticket object\n", + "Fare float64\n", + "Cabin object\n", + "Embarked object\n", + "dtype: object" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#your code here\n", + "titanic.dtypes" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### What are your numerical variables? What are your categorical variables?\n", + "\n", + "*Hint: Use Pandas `select_dtypes`*" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['PassengerId', 'Survived', 'Pclass', 'Age', 'SibSp', 'Parch', 'Fare'], dtype='object')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# your code here- numerical variable\n", + "titanic.select_dtypes('number').columns" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Name', 'Gender', 'Ticket', 'Cabin', 'Embarked'], dtype='object')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#your code here- categorical variable\n", + "titanic.select_dtypes('object').columns" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Set the plot style to `classic` and the figure size to `(12,6)`\n", + "\n", + "*Hint: To set the style you can use `matplotlib.pyplot` functions or seaborn*" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "# plt.style.use('classic')\n", + "# plt.figure(figsize=(12,6))\n", + "\n", + "plt.style.use('classic')\n", + "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(12, 6))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use the appropriate visulalization to show the distribution of the column `Age`" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "plt.hist(titanic['Age'])\n", + "plt.show();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use subplots to plot the distribution of the `Age` variable with bins equal to `10`, `20` and `50`." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "plt.hist(titanic['Age'], bins=10)\n", + "plt.show();" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(titanic['Age'], bins=20)\n", + "plt.show();" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(titanic['Age'], bins=50)\n", + "plt.show();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Whether the bin size affects your plot? Why?" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "#your comment here\n", + "# Yes, reducing bins ranges gives a more accurate visual to the distribution plot" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use seaborn to show the distribution of the column `Age`" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "sns.histplot(titanic['Age'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use the appropriate plot to visualize the column `Gender`. There are 2 ways of doing it. Do it both ways.\n", + "\n", + "*Hint: Use matplotlib and seaborn*" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "([,\n", + " ],\n", + " [Text(-0.48083677220945115, 0.9893411941747885, 'male'),\n", + " Text(0.5245491049970633, -1.0792813518479694, 'female')],\n", + " [Text(-0.262274603023337, 0.5396406513680664, '64.4%'),\n", + " Text(0.3059869779149536, -0.629580788577982, '35.6%')])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here- 1st way\n", + "a = list(titanic['Gender'].value_counts())\n", + "b = list(titanic['Gender'].unique())\n", + "explode = [0, 0.1]\n", + "plt.pie(a, labels = b, explode=explode, autopct='%.1f%%')" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here- 2nd way\n", + "titanic.groupby('Gender').size().plot(kind='pie', explode= explode, autopct='%.1f%%');" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use the appropriate plot to visualize the column `Pclass` \n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "plt.hist(titanic['Pclass'], bins=3);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We would like to have in one single plot the summary statistics of the feature `Age`. Choose the appropriate plot to show below." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "plt.boxplot(titanic['Age']);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### What does the previous plot tell you about the feature `Age`? Comment." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "# your comment here\n", + "# 50% of total Age entries are within 20 to 40 range" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Now in addition to the summary statistics, we also want to visualize the distribution of `Age`. Choose the appropriate plot to sow below." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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aPn261q5dq29+85vhXxUAAIhKIR0xsVgs2rBhg+rr67V9+3ZJUklJSeDxwcFBlZSUKDk5Wbt27dKWLVt07NgxvfLKK4Ex77zzjl577TU99dRT+q//+i8tXbpUTz31lD7++OMwLwkAAESrkMLk8ccfV3Z2tuLj4+V0OvXII4+otbVVXV1dkqRjx47pb3/7m9auXSuHw6HU1FQ9+uij+uMf/yifzydJamho0NKlS5WXl6f4+HgtX75c06ZN01tvvXXzVgcAAKLKsK4xOXLkiKZMmaLk5GRJUktLi9LS0jR+/PjAmJycHPX29ur06dOBMTk5OUH7yc7OVktLy3DnDgAAYkxI15hc6+jRo6qpqdFzzz0X2Ob1euVwOILGXY0Wr9cb+NXpdF435ty5c1/4vUpKSmS32yVJ+fn5ys/Pv9HpAgCAm6ipqUlNTU2SFDhLMhI3FCaHDx9WaWmpSkpKNG/evMD2pKQkeTyeoLFXT/MkJSUFfu3u7r5uzD8GzbXKysqUkpJyI1MEAACj6NoDB263W1VVVSPaX8incvbv36/S0lI9++yzWrBgQdBjmZmZOnfunDo7OwPbmpublZiYqPT09MCYEydOBH3dyZMnlZmZOZL5AwCAGBJSmNTV1amyslJlZWVBR0qumjt3rqZPn67f/va38nq9unDhgqqrq7V06dLAqRiXy6W9e/fq2LFj6u/vV0NDg06fPq0lS5aEd0UAACBqhXQqp7KyUjabTRs2bAjaXl5errlz58pqtaq0tFQvvfSSVqxYIbvdrsWLF+tf/uVfAmPvvvtuXbp0SWVlZbp06ZJuv/12Pf/880H3QgEAAGNbSGFy8ODBrxyTmpqqX//61186Zvny5Vq+fHloMwMAAGMOt6QHAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGCMu1IFvv/226uvr1draKq/XqwMHDshmswUeX7Rokex2u6zWv7dOVVWVMjIyJEl+v1/btm3Tnj175PF4lJWVpXXr1mnGjBlhXA4AAIhmIYeJ0+mUy+VSX1+fXnjhhc8dU1ZWpjvvvPNzH9u5c6f27t2riooKTZ06VTU1NSouLlZNTY3GjRs3vNkDAICYEvKpnHnz5umee+5RWlrasL5RQ0ODVq5cqYyMDCUkJKioqEj9/f06dOjQsPYHAABiT8hHTEJRWlqqgYEBTZkyRYWFhSooKJAkdXd36/z585o9e3ZgrM1m06xZs3Tq1Cndd9994ZwGAACIUmELk40bNyo3N1dWq1VHjx4NRIrL5ZLX65U0dDroWk6nM/AYAABA2MLk2mtLvvvd72rFihXav3+/XC6XkpKSJA0dOblWd3e3Jk2a9IX7LCkpkd1ulyTl5+crPz8/XNMFAABh0NTUpKamJkmSz+cb8f7CeirnWhaLRX6/X9LQkZHU1FSdOHFCc+bMkSQNDAyopaVF99577xfuo6ysTCkpKTdrigAAYISuPXDgdrtVVVU1ov2FfPHrwMCAfD6f+vv7JQ1Vkc/n0+DgoE6ePKnm5mb19/drYGBAR44c0ZtvvqnFixcHvt7lcqm2tlZtbW3q6+tTdXW14uLitGDBghEtAAAAxI6Qj5js379f5eXlgc+XLVsmSdq0aZO8Xq+2bNmijz/+WDabTVOmTNFjjz2mwsLCwPhVq1bJ6/Vq/fr18nq9ys7OVnl5OW8VBgAAASGHyZIlS7RkyZIvfHz+/Plf+vUWi0VFRUUqKioKfXYAAGBM4Zb0AADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBg37R/xA4Cv4na7Iz2FEbHb7UpMTIz0NICYQpgAiIBeSXalp6dHeiIjMmFCqtrb24gTIIwIEwAR4Pvs47SklAjPZbjc6uhIl8/nI0yAMCJMAERQiqI3TADcDFz8CgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADBGXKgD3377bdXX16u1tVVer1cHDhyQzWYLPN7a2qrKykqdPHlSDodDBQUFWr16tSwWiyTJ7/dr27Zt2rNnjzwej7KysrRu3TrNmDEj/KsCAABRKeQjJk6nUy6XS2vXrr3uMa/Xq+LiYuXm5qq+vl4VFRXas2ePdu/eHRizc+dO7d27VxUVFaqvr1dubq6Ki4vV09MTnpUAAICoF3KYzJs3T/fcc4/S0tKue+zdd9/V4OCgioqKlJCQoIyMDK1atUr19fWBMQ0NDVq5cqUyMjKUkJCgoqIi9ff369ChQ2FZCAAAiH5hucaktbVVmZmZQad2cnJydPbsWXk8HnV3d+v8+fOaPXt24HGbzaZZs2bp1KlT4ZgCAACIASFfY/JlPB6PnE5n0Lbk5GRJQ6d5/H6/JF03xul0yuv1hmMKAAAgBoQlTBwOhy5evBi0raurS5KUlJQUCJPu7u6gMd3d3Zo0adIX7rekpER2u12SlJ+fr/z8/HBMFwAAhElTU5OampokST6fb8T7C0uYzJw5UwcOHNDAwEDgdE5zc7PS0tLkcDgkSampqTpx4oTmzJkjSRoYGFBLS4vuvffeL9xvWVmZUlJSwjFFAABwE1x74MDtdquqqmpE+wv5GpOBgQH5fD719/dLGqoin8+nwcFBLVy4UFarVdXV1err61NbW5tqa2vlcrkCX+9yuVRbW6u2tjb19fWpurpacXFxWrBgwYgWAAAAYkfIR0z279+v8vLywOfLli2TJG3atEl5eXmqqKjQ5s2b5XK5lJSUpMLCQj300EOB8atWrZLX69X69evl9XqVnZ2t8vJyjRs3LozLAQAA0cxy8OBBf6Qn8Y88Ho8KCgrU2dnJqRwDuN1ujR8/XlKnpGh+Ps5ISld0ryMW1iDFxjrcksbzcwq4xtU/LxobGwOXctwobkkPAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGPERXoCY0Fvb698Pl+kpzFsbrc70lMAAIwRhMlN1tvbq6lTZ6ij43ykpwIAgPEIk5vM5/N9FiWnJaVEejrD1C7pjkhPAgAwBhAmoyZF0RsmnMoBvkgsnOq02+1KTEyM9DQASYQJAAxTryS70tPTIz2REZswIVXt7W3ECYxAmADAsPg++4jm07SS5FZHR7p8Ph9hAiMQJgAwItF8mhYwj9Fh0tvbG+kpjFgsnH8GAGC0GB0mOTnf0KVLH0d6GgAAYJQYHSZDURLt5295qy0AAKEyOkyGRPv5W07lAAAQKv6tHAAAYAzCBAAAGIMwAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABiDMAEAAMYgTAAAgDEIEwAAYAzCBAAAGIMwAQAAxiBMAACAMeLCtaNt27Zpx44dstvtgW3z58/XM888I0lqbW1VZWWlTp48KYfDoYKCAq1evVoWiyVcUwAAAFEubGEiSXfccYdefvnl67Z7vV4VFxdryZIlqqioUHt7uzZs2CCHw6GHHnoonFMAAABRbFRO5bz77rsaHBxUUVGREhISlJGRoVWrVqm+vn40vj0AAIgSYT1i0tLSogceeECJiYmaM2eOHnvsMX3ta19Ta2urMjMzZbPZAmNzcnJ09uxZeTweORyOcE4DAABEqbAdMfn+97+v6upq1dXV6eWXX5bFYtGTTz6pnp4eeTweOZ3OoPHJycmShk7zAAAASGE8YjJjxozAf0+ePFnFxcUqKCjQX//6VzkcDl28eDFofFdXlyQpKSnpK/ZcIskuKf+zDwAAYIqmpiY1NTVJknw+34j3F9ZTOdeyWCyyWCzy+/2aOXOmDhw4oIGBgcDpnObmZqWlpYVwGqdMUsrNmiYAABiB/Px85ecPHThwu92qqqoa0f7Cdirn4MGD6uzslCR1dHTohRde0K233qrc3FwtXLhQVqtV1dXV6uvrU1tbm2pra+VyucL17QEAQAwI2xGTAwcOaPPmzert7VVycrLmzp2rF198MXCqpqKiQps3b5bL5VJSUpIKCwt5qzAAAAgStjApLS390sdnzpypysrKcH07AAAQg7glPQAAMAZhAgAAjHHT3pUDAIgebrc70lMYEbvdrsTExEhPA2FAmADAmNYrya709PRIT2REJkxIVXt7G3ESAwgTABjTfJ99nFb03jPKrY6OdPl8PsIkBhAmAAANRUm0hgliCRe/AgAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIxBmAAAAGMQJgAAwBiECQAAMAZhAgAAjEGYAAAAYxAmAADAGIQJAAAwBmECAACMQZgAAABjECYAAMAYhAkAADAGYQIAAIwRF+kJAAAQDm63O9JTGDG73a7ExMRITyOiCBMAQJTrlWRXenp6pCcyYhMmpKq9vW1MxwlhAgCIcr7PPk5LSonwXEbCrY6OdPl8PsIEAIDol6LoDhNIXPwKAAAMQpgAAABjECYAAMAYo3qNid/v17Zt27Rnzx55PB5lZWVp3bp1mjFjxmhOAwAAY0Xz257DMfdRDZOdO3dq7969qqio0NSpU1VTU6Pi4mLV1NRo3LhxozkVgzVJyo/0JCKAdY8t70R6AhEyVp9v1h2a2Hnb80iM6qmchoYGrVy5UhkZGUpISFBRUZH6+/t16NCh0ZyG4ZoiPYEIYd1jy58iPYEIGavPN+sOzbVve+6M0o8Pb3DN1xu1Iybd3d06f/68Zs+eHdhms9k0a9YsnTp1Svfdd99oTQUAAINF89ueo+hUjtfrlSQ5nc6g7U6nM/DYVX6//5rP2hWOhUbOuc9+DXUdXZLO3LzpDMuNrmE4RmPdo7GOG3Wj6zZxDcPh+ezXaF7HcJ4LXt83h6mvi7H4+h5aQ/Cf4zdm1MIkKSlJ0tCRk2t1d3dr0qRJQdt6enqu+eyOmz21UXIj69h602YxMjf7uRitdZv2e2o46zZtDcMVC+u40TXw+r55TPz9NDZf3z09PdcdiAjVqIWJ0+lUamqqTpw4oTlz5kiSBgYG1NLSonvvvTdo7MSJE1VbW6tx48bJYrGM1hQBAMAI+P1+9fT0aOLEicPex6i+K8flcqm2tlbf+ta3lJaWph07diguLk4LFiwIGme1WjV58uTRnBoAAAiD4R4puWpUw2TVqlXyer1av369vF6vsrOzVV5ezluFAQCAJMly8ODB4V+hAgAAEEbckh4AABhjVE/lhGIs3Lb+7bffVn19vVpbW+X1enXgwAHZbLbA462traqsrNTJkyflcDhUUFCg1atXR/2FwK+++qref/99XbhwQYmJicrLy9OaNWt02223BcZcuHBBL730kj744APFx8dr8eLF+slPfqL4+PgIznxktm/frn379qmzs1M2m01ZWVlas2aNMjMzA2Ni9Tm/6plnntGf//xnbdy4UXfeeack6X/+53/0m9/8Rh999JFuvfVWPfzww3K5XBGe6cht27ZNO3bskN1uD2ybP3++nnnmGUmx/VwfP35cr732mk6cOCGr1aqvf/3rqqyslNVqjdl1/+hHP9KFCxcCn/v9fvX19emXv/ylFixYELPrlqSOjg5VVVXpv//7v+Xz+XT77bfr8ccfV15enqThv8aNC5OxcNt6p9Mpl8ulvr4+vfDCC0GPeb1eFRcXa8mSJaqoqFB7e7s2bNggh8Ohhx56KEIzDg+LxaINGzYoIyNDfX192rRpk0pKSrR169Db6QYHB1VSUqKZM2dq165d6urq0s9//nO98sor+ulPfxrh2Q/fokWL9IMf/EDJycnq7+9XXV2diouLtWvXLtlstph+ziWpqalJvb29QdvOnz+vp59+Wk888YQKCgp0/Phx/du//ZsmTJhw3cXw0eiOO+7Qyy+/fN32WH6ujx8/rg0bNuinP/2pysrKFB8fr+bmZlkslphe97Zt24I+f/PNN1VTU6PvfOc7Mb1uSXrppZd0+fJl/e53v1NycrLefPNNlZSU6I033pDX6x32a9y4Uzlj4bb18+bN0z333KO0tLTrHnv33Xc1ODiooqIiJSQkKCMjQ6tWrVJ9ff3oTzTMHn/8cWVnZys+Pl5Op1OPPPKIWltb1dXVJUk6duyY/va3v2nt2rVyOBxKTU3Vo48+qj/+8Y/y+XwRnv3wTZ8+XcnJyZKG/jZltVp16dKlwLpj+Tm/ePGifve73+nJJ58M2t7U1KRp06Zp+fLlio+PV15enpYuXaq6uroIzXR0xPJzvWXLFi1btkz5+flKTEyUzWbTHXfcIYvFEtPr/kf/+Z//qWXLlslut8f8utvb27Vw4ULdcsststlsuv/++9XT06MzZ86M6DVuVJh81W3rx4LW1lZlZmYGndrJycnR2bNn5fF4vuQro8+RI0c0ZcqUwB/aLS0tSktL0/jx4wNjcnJy1Nvbq9OnT0dqmmFx+PBhFRQUKD8/X7/5zW/04IMP6pZbbpEUu8+53+9XRUWF/vmf/1lTpkwJeqylpUU5OTlB27Kzs9XS0jKaU7xpWlpa9MADD+jhhx/Wr371K507N3Q3zFh9rnt7e3X8+HFZrVb9+Mc/lsvl0hNPPKE//Wno30SK1XX/o7/85S86c+aMCgsLJcX+uh955BG99957+vTTT3XlyhXV19crLS1NM2fOHNFr3KhTOTdy2/pY5fF4rlv/1T+4vV6vHA5HJKYVdkePHlVNTY2ee+65wLbPW9+1a49md911lxobG+V2u9XU1BR0n55Yfc4bGhrk9/t1//33X/eYx+PRtGnTgrYlJyfHxA/r73//+1qyZImmTJmiTz75RFu2bNGTTz6prVu3xuxz3dXVpcHBQe3bt09lZWWaNWuW3nvvPf3qV7/SpEmTYnbd/6ihoUHf/va39bWvfU1S7L62r8rNzdX+/fv14IMPymq1KiUlRb/85S+VkJAwote4UUdMvuy29Vcfi3UOh+O69V895B8r/w8OHz6sX/ziFyopKdG8efMC25OSkq77TRtra09JSdGKFSu0cePGwN8cYvE5b29v144dO647hXPVF6052n9QS9KMGTOUmpoqi8WiyZMnq7i4WBcvXtRf//rXmHyuJQWu/8vPz1dOTo5sNpsWLlyovLw8/fnPf47ZdV/rk08+0XvvvRd0cWcsr3twcFDr16/XhAkT1NDQoH379mn9+vV6+umn1dLSMqLXuFFhcu1t66+6etv6WbNmRXBmo+fqIbCBgYHAtubmZqWlpcXED+39+/ertLRUzz777HUXQGVmZurcuXPq7OwMbGtublZiYqLS09NHe6o3jd/v15UrV9Te3i4pNp/z//3f/5Xb7daaNWvkcrkCP6x/8YtfaOPGjcrMzFRzc3PQ1zQ3Nwe9UylWWCwWWSwW+f3+mHyupaGf3WlpaV/4TpNYXfe1Ghsbddttt+k73/lOYFssr7urq0tnz57VD37wA6WkpMhms+l73/ue0tLSdOTIkRG9xo0KE+nvt61va2tTX1+fqqurP/e29dFsYGBAPp9P/f39kiSfzyefz6fBwUEtXLhQVqtV1dXV6uvrU1tbm2pra2PibZR1dXWqrKxUWVlZ0JGSq+bOnavp06frt7/9rbxery5cuKDq6motXbo06K2X0Wb37t3q6OiQJF2+fFmbNm1SXFyccnNzJSkmn/O7775br7/+urZu3Rr4kKR//dd/1RNPPKH8/Hx99NFHamhoUH9/v44dO6a9e/fqgQceiOzEw+DgwYOBuO7o6NALL7ygW2+9Vbm5uTH5XF+1fPlyvfXWW2ppadHg4KDee+89ffDBB1qwYEFMr1sa+pm+Z88e3X///bJa//7Haiyve/z48br99ttVX18vj8ejwcFBHT58WP/3f/+nrKysEb3Gjbvzq9/vV3V1tRobGwO3rf/Zz36mjIyMSE8tbN566y2Vl5dft33Tpk3Ky8tTa2urNm/erJMnTyopKUmFhYUx8b73RYsWyWazXXdPkvLycs2dO1fS0NtIr97HxG63a/Hixfrxj38c1WHy9NNPq7m5WT09PUpKSlJOTo5++MMfKjs7OzAmVp/zay1atOi6+5hUVVUF3eMgFsLk5z//uY4fP67e3l4lJydr7ty5Kioq0tSpUyXF9nP9H//xH2poaFB3d7emTZumH/7wh/re974nKbbX/ac//UmlpaXatWtX0MX7Umyv+8yZM3rllVd0/Phx+Xw+TZ48WStWrAhcVzbc17hxYQIAAMYu407lAACAsYswAQAAxiBMAACAMQgTAABgDMIEAAAYgzABAADGIEwAAIAxCBMAAGAMwgQAABjj/wNDBe3LYP6BLAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#your code here\n", + "plt.hist(titanic['Age']);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### What additional information in the previous plot provide you about the feature `Age`? Comment." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "#your comment here\n", + "# Most values are concentrated around 30 years" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### We suspect that there is a linear relationship between `Fare` and `Age`. Use the appropriate plot to show the relationship between these 2 features. There are 2 ways, please do it both ways.\n", + "\n", + "*Hint: One of the ways involves using Seaborn*" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#your code-1st way\n", + "plt.scatter(titanic['Age'],titanic['Fare']);" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code-2nd way\n", + "data = titanic.loc[:,['Age','Fare']]\n", + "sns.scatterplot(data=data, x=\"Age\",y=\"Fare\");" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Using Seaborn plot the correlation matrix of various features.\n", + "\n", + "*Hint: search how to use `heatmap`*" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Y2tqyIfNajDwWxl/f/kHTLNeiWEe9AcHs/XY5UZnX3babXHfuAWWoFNyQLVmuuy1jfqRKluuu7hPBnNl4gJMrdmJMS+fkip2c2XiAuk8EA+Do4YyLtydHfv4TY0oaqdeSOLpoM2Wz3DNrPHo/e775g/gLURjT0tn73QpS4hKp9ViLu/I3KQ7qDAhmf5b76c6JC7G1t6PyTe6nf2ep179vuJ9eC4++/kOBjQ0mY8aPZp6Vr/eKPLZgE2fW7iXpSnyO9xAr05hVi/LUDfhftra2eHp6AmDMPHGtryoFzad2IGlJKVzK/HUQ4NKRs6Qlp+JTJ5C4C1EW9qlI5KEz2bqbRew/RalAXxzcnMEGPCv6EL7vpPl1U7qRyENn8KlTiSO//mXe3mnK89jaG4g9F8X+uWs5+NNG65xoMeaXWYeRWeowMrMOfWsHEmuhDn1rBxJ+Qx1eOHAKr8w6TIlPBKBa64Z0mfICTp6umIxGtn+/nIQrcQCc/PMA0aHh1OnajMO//Y1n+bJUD27Etu+WW/mMixcHd2c8KvoQccP1cvnQGbzrVuJ4lusFwLtORn1HZanvqCNnSU9OxbtOIPGWrtmGVbF3dSIqSxdugMDghgw+8DXJsQmc2/QP2ycuJCmzfiXv/r0WI7LUTUTmtehXO5AYC3XjVzuQi4fOYLzhWiwd6IujmzPJmdeiX51Ahu75mtTEFMJ2H2fdhAVcDbuU7Vjdp7yArb2BmPOX2TlnHXvmb7DSmRZ9Du7OeFq47i4dOkPZupU4lst1dzlL3V7OvO7KZl53ZWtX5MQf27PtF7n/FFU7NQUgOSaBAzNXU6dfS/4aOx9bBztqPfYQJ1dc706KDWBzQ+uzDdkSWsndv/fTyFzupyfycD8tk+V+6uDuzON/T8HOxRGDvR0XdxzjzPp9d+WcRP6LPCWrZ8+eZfLkyRw9epSUlJRsr61bty7X/Vav38SaDZvNz9u2akG71g/lMVSRm3NwdyY5LjHH9uTYhIzE09I+bs45xkImxVwzv/bv5+yNZZJjruGY5Zi/9P2YC7uOYzQaCWxel06fvYCtwcD+ublfF5KTg5szSRbqMCk2AUd3y3Xo6J57HTpmSVZD1u9jUv1ncPJ0pX7PFsRevGIun5aUwr75G2g/ehCPTnoOWzsDBxZuYv+Cjfl0ZiXDv9dZioXrxdI16ODmTEoerlk3/9K0++ol9nz1O7Fnryc3B39Yzd8f/0zipRg8Kvny8NhBdJrxBr92/eBOT6nEcvyP1+KN41kTs1yLyfGJHF6+g72/bCLm/GXcfb1oO7IvA+aN4JsOI0jJ7NY4q99HhO06jslopErzunSf+iK2drbs0v3Uon+vFUufU//1unPI5b7qkKXuTyzbQauPnuTZo99jYwOXDp3ltwHjza+fWrWbxs8/QsTeEOLDo2n4VAdcfUrl+nks2dnnsV7tb/N+mhKXyA91n8XgaE/F1g0pVcUv23j/ouBw0gUOJ100P2+3oz5NmzYtwIjyh8mkSWotyVOyOn78eLy9vXnvvfdwcnK67f3atX5Iyanku6CuzWj78WDz83WjZln8EuXo4WJOWG6UEp+Iu3/pbNucPF3Nr/27drKjh0v2Y3q6EpdlzM3ZLGOrQjfsZ8+MVdTu/qCS1Vuo07UZnT56yvx85aiZOFmoQycPF4s/RAAkxyXi7me5DpMt1HtSzDV2zFjFkAPfcSU0nMgjZ6nXowWtRvTll/99StjOY7iV9aTTJ/+jy9QXWfKy1o6+Xf9eZw4Wrpd4C2PUUuITs335NZe3cM16VPLl0XnDOfnHdnZMWJjttUsHT5v/HXs6go3Dp/PE31PwrOxHTGj4fz2dEqVe12b8X5Zrcdl/vBY9brgWnW+4FiOzTEwXFxHN0qHfMeLgNCo0rsHJzQcBCM1yPz2xYT/bZ6ykQffmSlZz8e+1Yulz6r9edylxiTmO5+Tpak6GPCv50nXeW2z+YC6H5m/E1mCg8QuP8NiS9/ix7UjSEpPZMnoe9w/rRbf5I7F3cSRk+U7CthwiKVrdS29H6k3q1dKY39Q83E8B0pNTCV2xk06z3iT1WhL/zFyTT5FbX22nctR2Kmd+HlQMElXJXZ6S1dDQUCZPnoy9fdEbnCvFz9ElWzm6ZKv5uXtAGeycHPAOqsDloxmzRnoHVcDO0Z7IQ2csHiPy8FlqdW2GjcHW3I3Ut35lrp6JMN/cY85G4tegChczZzC0MdjiU7sih3/dkmtsJqMxZ/cnyeHQkq0cylKHHgHe2Dk54BNUgcjMOvTJrMOIw5brMOLwGereUIf+9aoQnaUOb2Rja4PB3kDpyn5EHjmLf/3KhG0/StiOowDER15l74/r6fbly/l5usVeSlwisWcj8WlQhYgs10uZ2hU5tijn9XL50BnsnBwoE1SBqMz6LhNUAYOjPZezXLNlgirwyNzh/DNnLbunLrllHP+Ow7LRNXjbDi7ZysEs16Jn5rXoG1SBiMy68c28FsNzuRbDD5+hftdm2BpszV2By9WrwpUzERZ/OALAZMIE5h8GLRYxmnQ/vYmUuERiMq+78CzXnXftihzN43V3KfO6u3T4LL4Nso8L96lfmUuHTgPgXasiaUkpHJy9FgAjaez5djlNX+tGmZrlidh3ktSEZDa/P4fN788BMmYHHvDXp2yfuMgqf4fi5t/7adkb7qfetSty/Cb1WjqoAlcy67V0Zr1G5fIdCMDWzkCpqpp7pVC4K7MBFz15Gmjq7++fY53Vkiw9PZ3k5BRSUzNm70pJTSU5OcU8jlfurrjzUZxat4+H3+mHs5cbzl5uPPxOP06u2WNxvCrAiRU7MRpNNHujB3aO9pSpUZ57n+nEvllrzWX2zVnHvc90okyN8tg52tPsjR6kp6UTkjmFv0/dSvjUq4StvQEbgy2BLepyz1MdOPrb33flvIuTjImN9hL89uPmOgx++3GOr9ltcbwqwLGVOzEZjTycWYdla5Tn/mc6sWv29V+JmzzZHldvDwBcSrvT8cMnSU9J49yu4wCE7ThGhfuCCGhc3VymYZ+WhB8MtfIZFz//zF5Hw2c7UbpmeQxO9jQd0gNjWjqnsix58a/481GcWbePZqP64eTlhpOXG81G9SN0zR7z+Cq/xtXp8svb7P36d4uJqsHRniqdmphbFNzLe9Ny3FNEHjjFVbWq/mcx5y9zfP1e2r39OC5ebrh4udHu7cc5tma3xfGqAEdW7sRoNNIy81r0qVGeZs90YmeWa7FO5/tw8cqY2MzV24NHxz3NtUsxhO3OWIrIv24l/OtWwmBvwNZgS9UW9bj/qQ78s1T305s5OHsd92S57u67yXUXdz6K0+v20TzLddd8VD9OZbnu/pm7jsBWDajS4V5s7QxU6XAvga0a8M/c9QBEHjiFwcGOOv1aYWOwxeBoT6P/dSAlPpGroRndM93Le+Oa2dLu6luK4An/IyEyhqM3+aFXsjs0ex0Nnu2EV2a9Nsms19Cb3E8fyFKvD4zqx+ks9VqjR3M8K/tl/GDrZE/t/q0p92Adzm44YD6OrZ0Bg6M9Nna22NjYYHC0x+CoRiopOHlaumbVqlWsXbuWAQMGUKZM9tkAy5Url8texXfpmiXL1vDORzmn8J/x+Tia3lO/ACKyrqKwdI2TpyutxwykSuuGAJxatzfbOqv/dh3+vNb1ac69gyoQ/OEgfOtVIiUukf3z1ltYZ7UH9TPXOYs4EMq6d2aa11Ct0qYRD43og3u5MhjT0ok9f5n9c9dxIPNDvTApCkvXOHm6Zqyz2qohACHr92ZbZ/XfrsMTal/vsugTVIH2YwbhX68yyXGJ7Jm3Lts6q71mvIl//So4uDqSEp/Ihf2n2DJ1MRezJKNNnmzPPf3b4O7rRWpSCmE7jrJ27I/Enr98d048Dwrz0jUATYb0oE6/Vti7O3PpQCib3pnJlaPncCtXhr7rx/HHgAlc3HEMAMdSrhnrrGZes2fW7c22zmqXn0dS7v4g0hKzz5Ow+4vf2PPFb9g5OfDIvOGUrhGAwcGOpCvxnN14gB2fLiLxUsxdPe+8KApL1zh7utJpzCCqZ16Lx9fvzbbO6r9dhz/Kci36BlWg05hBlMu8FnfNW5dtndW+379B+Xuq4+DiSGLMNc5sP8qGSQu5ciYCgBrBjWg7si+e/hn306vnL7Nr7jp2zSt8XYAL09I1APdlXncO7s5EHgjlz3dmEpV53T2+fhy/D5jAhSzX3cNjBlIp87o7vW5vjnVWq3Vuyv1v9sS9vDdx5y7z9/hfsk2gVOGhutz3Rg+8qmZ8/4s6Fsa2iQu5sC2jh0pgy/o8PHYQLmU9SY1P4tSq3Wz9ZD7JMbmv01sQCnsadu+QHtTOcj/dkuV+2nv9OJYNmEB4lnptPmYgFTPr9ey6vdnWWb33je7U6NEcZ28P0pNTuXoqnIPTV3Ly9+uTabX69BlqPpZz6N43Ffpb/2T/o+KydM39HrFWf49tsR5Wf4/8lqdktXXr1td3zOySYzKZsLGxuekES8U1WS1pikKyKjdXFJJVubXCnqzKrRWFZFVurrAlq/LfFPZkVW5NyertK4rJap7GrP7444/WikNERERERKRk0phVi/KUrPr5+VkrDhERERERERGzPCWrkLGe6ooVK4iOjmb69OkcOHCA2NhYmjdvbo34REREREREijej1lm1JE+zAf/6669MmzaNhg0bEhGRMRmCu7s78+fPt0pwIiIiIiIiUjLlKVldsmQJn3zyCf379zdPsFSxYkXCwsKsEpyIiIiIiEixZzJa/1EE5SlZvXr1KpUqVQK02LqIiIiIiIhYT56S1fLly7Nv375s2/bv30/FilqaRkRERERE5D8xGq3/KILyNMHSgAEDGDVqFF26dCE1NZU5c+awePFiRowYYa34REREREREpATKU8vq/fffz+jRowkNDcXX15e9e/fyxhtv0KRJE2vFJyIiIiIiUrxpzKpFeV66plGjRjRq1MgasYiIiIiIiIgAeUxWDx48SNmyZfHz8+Pq1at89dVXGAwGnnvuOTw9Pa0Vo4iIiIiISPFVRMeUWlueugFPmTKFtLQ0AL777jsuX77MlStX+Oyzz6wSnIiIiIiIiJRMeWpZjYiIoHz58gBs27aNadOm4eTkxBNPPGGV4ERERERERIo9taxalKdk1WAwkJaWxrlz53Bzc6NMmTKYTCaSkpKsFZ+IiIiIiIiUQHlKVmvVqsXUqVO5cuUK999/PwAXL17Ew8PDKsGJiIiIiIgUdyZTekGHUCjlaczqG2+8QVJSEh4eHuauv0ePHiU4ONgqwYmIiIiIiEjJlKeWVR8fH95+++1s21q3bk3r1q3zNSgREREREZESQ2NWLcpTy+qmTZs4e/YsAOfPn+eVV17h9ddf58KFC1YJTkREREREREqmPCWr33//PU5OTuZ/ly1bFn9/f7744gurBCciIiIiIlLsmYzWfxRBeeoGfOXKFXx8fDCZTOzZs4d58+bh4OBAr169rBWfiIiIiIiIWJHJZGLmzJksW7aMa9euUaNGDV577TUqV65ssfzRo0f59ttvCQkJwdbWlvr16/Piiy/i5+eXr3HlqWXVzs6OpKQkjh8/TtmyZXFzc8NgMJCampqvQYmIiIiIiJQYRqP1Hzfx888/s2LFCsaPH8+SJUuoW7cuw4YNIzEx0UKoRkaMGEGVKlVYtGgRP/30EwaDgQ8//DDf/yx5SlYbN27M6NGj+fzzz2nevDkAYWFhlC5dOt8DExEREREREetbunQpvXr1okqVKjg6OjJ48GBSU1PZvHlzjrLXrl3j6tWrdOzYEQcHB1xcXGjfvj0nTpzI97jylKy+/vrrVK1alSZNmtCvXz8ALly4QNeuXfM9MBERERERkRKhAMesxsfHEx4eTq1atczbDAYD1atXt5iAuru707VrV5YtW0ZSUhLx8fGsXLmSFi1a5PufJU9jVt3c3HjqqaeybWvWrFm+BiQiIiIiIiJ3Zs3Ow6zdfdj8vHzTdjRt2jRHuYSEBCAj18vKzc3N/NqNHn74YSZPnkznzp0xmUxUq1aNTz75JB+jz5CnZBUgJiaGw4cPc/XqVUwmk3l7p06d8jUwERERERGREsEK66y2bRxE28ZB5ufbHWpbLOfi4gJktLBmFR8fj7e3d47y586dY+jQobz44ot06tSJ9PR0fvrpJ15++WW+//57nJ2d8+0c8pSs7t27l1GjRmFjY0NCQgIuLi4kJibi4+OjZFVERERERKSIcXNzw8/Pj6NHj1KnTh0A0tPTCQkJoW3btjnKnzx5EkdHx2xDQXv37s2cOXMIDQ2ldm3LSfF/kacxq9OmTeOxxx7j999/x8XFhd9//51evXrx2GOP5VtAIiIiIiIiJUoBr7PapUsXFixYQGhoKMnJyfzwww/Y2dlZHIdas2ZNUlNT+f3330lPTyclJYWFCxfi7OxMhQoV8vXPkqdkNSwsjMcffxzA3AX4iSeeYMGCBfkalIiIiIiIiNwdvXv3pn379gwZMoQuXbpw8OBBxo0bh7OzMxEREXTs2JEDBw4A4Ofnx4cffsjKlSvp2rUrPXr0YM+ePXz00Ue4u7vna1x56gZsZ2dnTlLd3NyIiYnB1dWVq1ev5mtQIiIiIiIiJYYVxqzmhY2NDYMHD2bw4ME5XvP19WXFihXZtjVp0oQmTZpYPa48JatVqlThwIEDNG7cmDp16jB16lScnZ2pWLGiteITERERERGREui2uwHv37+fBg0a4ODgAMCzzz5LfHw8p0+f5o033rBagCIiIiIiIsWa0Wj9RxF0Wy2ry5cvZ+LEiXh4eDBr1izeeust2rZty/jx42/rTT675907ClIKh1f2jC7oEOQOPVj/yYIOQfJBB4fyBR2C3CFH063LSOHmna5KLA7qOcUUdAhyhy4XdABiVbeVrC5atIgRI0bQtm1bVq9ezaJFiyxOYywiIiIiIiJ5dIvZekuq2+oGHBERQZs2bQAIDg4mIiLCqkGJiIiIiIhIyXZbLasmkwkbGxsADAYD6enpVg1KRERERESkxCiiY0qt7baS1dTUVGbMmGF+npycnO05YHGaYxEREREREZH/4raS1dq1a3Pw4MFcn//b6ioiIiIiIiJ5pDGrFt1WsjplyhQrhyEiIiIiIiJy3W0lqyIiIiIiImIlGrNq0W3NBiwiIiIiIiJyN6llVUREREREpCBpzKpFalkVERERERGRQueWLavjxo27rQMNHz78joMREREREREpcTRm1aJbtqymp6ebH0lJSaxdu5ZTp06RmJhIaGgoa9euJTk5+W7EKiIiIiIiIiXELVtWR44caf73xIkTefXVV3nkkUfM25YtW8aRI0esE52IiIiIiEhxp5ZVi/I0ZnXTpk107Ngx27YOHTqwadOmfA1KRERERERESrY8JasuLi4cO3Ys27Zjx47h7Oycr0GJiIiIiIiUGCaT9R9FUJ6WrunatSsjRoygY8eO+Pn5ER4ezooVK+jTp4+14hMREREREZESKE/Jap8+ffD29mbVqlVs27aNsmXL8tJLL9G2bVtrxSciIiIiIlK8acyqRXlKVgHatGlDmzZtrBGLiIiIiIiICPAfktWLFy+ybt06oqKiePXVVzl//jxpaWkEBgZaIz4REREREZHiTS2rFuVpgqU9e/YwePBg9u/fz6pVqwCIiori66+/tkpwIiIiIiIiUjLlqWX1u+++4+2336Z58+b83//9HwA1a9bkxIkTVglORERERESk2DOpZdWSPLWsnjt3jubNmwNgY2MDgKOjIykpKfkfmYiIiIiIiJRYeWpZ9fb25vz58wQEBJi3nT17lrJly+Z7YCIiIiIiIiWCxqxalKeW1U6dOvHBBx+wa9cujEYjBw8eZPz48TzyyCPWik9ERERERERKoDy1rPbs2ZOEhATef/99EhISGDZsGP/3f/9Ht27drBWfiIiIiIhI8WYyFXQEhVKeklVbW1sGDRrEoEGDiI6Oxs3NDXt7e2vFJiIiIiIiIiVUnroBf/HFF4SGhgLg5eWlRFVEREREROROGY3WfxRBeWpZvXjxIk8//TQ1atSgc+fOtG7dGmdnZ2vFJiIiIiIiIiVUnpLVsWPHcvnyZVauXMmPP/7IV199RcuWLencuTO1a9e2VowiIiIiIiLFVxFt+bS2PHUDhozla/r378+8efMYM2YMly5d4uWXX7ZGbCIiIiIiIlJC5allNatdu3axbNky9u3bR9WqVfMzJhERERERkZLDpJZVS/KUrEZGRrJixQpWrlxJfHw8wcHBfPnll1SvXt1a8d01jp4uBI8eSJXgRphMJkLX72PdqFkkxybkuo93UAWCxwzEt14lkuMSOfDjBv6e/Gu2Ms3e6E69vq1wdHcm4uBp1r49k6jj58yvDzk7l9SkFEzp1/+D/tT1fS4fO4fcHcvXbmT+oj84FnKKawmJ7PvzD+zsDAUdlmRy93Rj6NjXaN7mAUwmE3+t28b4kVOIj423WL5cRX8++PxtAqtWwM7enqtRV/ljwUp+mDoHk4Vp4cdP/5CWHVvwYu832Ll5t7VPp0Rw8nCh8+hB1GzdCBMmjq/fx7J3Z5J0k/upb1AFOn8wiHL1KpEUl8jun9azYUr2+2mFe6oR/GYvAupXwWg0cunEeab3HG2u19Gn55GalIIxy/10Wvf3iTwWZpXzLO6cPFxoP2YQ1Vo3ApOJkA37WDlq5k0/F32CKtB+9CD8Mj8X9/64ns1Z6rHFq92p16M5zl7uGNPSuXgwlA2fzCfi8BlzmbfPzMvxuTiz2/tcUj3mWd03e1C1XyscPJy5cuA0u0b8QEwu3y/sPV24d+wgyrXJqO8L6/axa+RMUjPr28bWhnpDe1KpR3McSrmSGBHN0W9XcHLuegDcq/hRf9hjeN9bA3sPZxIjrnLyxw0c/XrZXTvfksDntX549W6Pwd2VxH9CuPDu1yQfP5OjnKGMJ35vDca1aR0MpT1Jj44l5vdNRE6dhyklzVzO1t0V36ED8Gj3ALauzqRdiubiu18Tv2Xv3TwtkVzlKVnt27cv9erV48knn6Rly5Y4ODhYK667rtOUFzA42jG9xRsAdP7yJTp8+ixL/zfZYnl7Vyd6zB3OoV82saj/OEpV8qX77GEkxyawZ/pKAO59tjN1ez3Mov7juHo6gvtf60aPucP4oeVQUhOSzcdaMngSZ7ccsv5JikWe7u706f4IScnJvPvxlIIOR27wwefv4OBoT7dm/QAY+/W7vDd1BEOffNti+atRVxnzxjjOhZ7HaDRSrqI/k+eMIz42ngUzsic/nXq2x8nZ0ernUNL0nPICBgd7pjz8OgCPff4y3SY9x09Pf2qxvIOrEwNmD2fvws3MHvAJpSv58cTMYSTFJfB35v20wj3V6D9zGMvfn828wRNJT02jXL3KOX6AmPfURE79pftpfugyNaMev3ooox67ffEyj056jl9uUo995wxn/y+b+emJT/Cq5EefWcNIjktgR2Y9Hvr9b3b+sJKk2ARs7Q00GdSePrOH81nTFzEZr9flgsETOa16vCNBz3emSp+H2dhvHPGnw6n7enda/jicZS3eJC3Ld5B/PfD5Cxgc7fm9WUZ9P/j1y9w/9Tk2P5lR39UGtaVq/9asf+wjYo6GUfb+IFrOG861sEuE/3kQB09XInccY88H80i8eAWvuoE8NOtNTKnpHPt+5V099+LK++nuePVsy+lB75Jy+iI+r/Sl0szRnGjzLMaEpGxlbV2cSAk9x6XPfyIlLAKHin5U/HokNk4OhI+ZBoCNvR2V535I8qnznOzyOmkRUdj7e4ONTUGcXomX9R4o1+VpzOqsWbOYMmUK7dq1K1aJqntAGaoEN+TPMT+SGB1PYnQ8f475kWrtGuNerozFfap3bIKtrQ1/TVxIWnIql4+dY+e3y2g0qK25TMMngtn53XIuHztHWnIqf01ciMHejmod7r1bpya34cH7GtOpbUvKl/Mv6FDkBn4BvjRv8wBTP/iKmCsxxFyJYeoHX/Fw++b4BvhY3CfhWiJnT4Zh/HeiApMJk9FIxaoVspXz8S/Lc8OfYuzQCdY+jRLFM8CbGq0bsXLsPBKi40mIjmfl2HnUatsYz1zup7U7NMHG1pb1k34hLTmVyGNh/PXdH9w3oJ25TLu3+rLn5z/Z/+sWc+vpuX0n79ZplTgeAd5Ua92ItR/OM38urv1wHjXaNcYjl3qsmVmPf2bW46VjYWz79g/uHXi9Hq+cumhuYbexscGYbsStrCfOpdzuynmVJNUHtuHo18uIORpGelIqB8b/gq2DHeU7NslR1iXAm4A2jdj7wTxSrsSTciWevR/Mo3z7xrgEZNS3eyVfLu04RszRjBbuS9uOEnP8HF51AwGI2nuSEzNWk3jxCgDR/5wh7I/t+DyoCTjzS+n+nbj8/WKSj53BlJxCxKdzsLG3w6PdAznKpoZFcOmrX0g5Gw4mEylnLhL9yxpc769vLlOqWyvsfEpzfvgU0iKiMva7eJnUC5fu2jmJ3MotW1ZNJhM2mb+wlCtX7voXwBvY2uZ5rqZCw6d2IGlJKVw6cta87dKRs6Qlp+JTJ5C4C1EW9qlI5KEz2bopRew/RalAXxzcnMEGPCv6EJ7ly5Qp3UjkoTP41KnEkV//Mm/vNOV5bO0NxJ6LYv/ctRz8aaN1TlSkiKlRtxrJScmcOHz9Ojpx+CQpySnUqFONiPORue773eLPCapfEydnRyIuRLLwhyXZXn/n0+HMmDLnpseQvPOvHUhqcgoRWe6nEZn3U7/agcRYuJ/61Q4k/PCZbN13z+8/RelAXxzdnDGmpVOhcQ3C9oTwzJLRlA704eq5y2z6cimHV+7MdqweU17AYGfg6vnL7Jy7jt3zN1jvZIsxv8zPxcgs9RiZWY++tQOJtVCPvrUDCb/hc/HCgVN4ZX4upsQnAlCtdUO6THkBJ09XTEYj279fTsKVuGzH6jLlhYzPxfOX2T1nHftUj3li7+6MW0Ufom74DhL9zxm86gZyetGWbOW96gaSnpTC1cPX6/vq4bOkJ6fiVSeQhPNRhMxdT/NvX8GrbiDRh87i+2Bt3AN9ubh+v8UYbAy2+DSrzbmVu6xzkiWMrbsLDhX8SNh//PrGdCNJh0/iVKcqLLn1NeLW4h6SDl3/P+H6YCOST56j3Icv4d6qCcZricSu3UbEpDmYEnO2vouVaTZgi26ZrD7yyCMsW5Yx3qBNmzbmxPVG69aty/UYxxIvcCzpovl5TSd/ajqXy2usVuPg7kxyXGKO7cmxCRmJp6V93JxzjNtJirlmfu3fP9ONZZJjruGY5Zi/9P2YC7uOYzQaCWxel06fvYCtwcD+ubn/PUVKClc3V+LjruXYHhcbj6ub6033fabby9ja2lLnnlo0b9OM6Kho82s9BnbFxsaGJfN+z/eYSzpHN2eSY3PeT5NiE7Ld+27cJ/GGe2Vi5v30331sDbY07NGCuU9NJPzQaWq2uYfHPn+ZH/qMIWxPCAAz+33E2d3HMRmNVHmwLj2nvoitnS07dT/NMwc3Z5IsfC4mxSbg6J5LPbrn/rnomCVZDVm/j0n1n8HJ05X6PVsQm9kS9695/T7iXObnYuXmdemSWY97VI+3zT6zjlJjstdHSsw182vZyrs5k2qhvlNjE7DPvAavhV3i4p8Habfiw8weKyb2vDeHq0csjyVuMm4wtvZ2HP1m+Z2ejgAGNxcAjDfM15AeE49tLvfWrMq+1Aen2lU42fV18za70h64NWtA+PiZXHjnC+x8y1Dx67fxG/kUF0d9lb8nkI/+SrjEX4nXW3/r7thB06ZNCzAisaZbJquffPKJ+d+ffmp5nMqt1HQuV6iS06CuzWj78WDz83WjZln88HX0cDF/uN4oJT4Rd//S2bY5ebqaX8Pm+jGyHdPTlbjw61+az2YZkxO6YT97ZqyidvcHlaxKidS+WxtGjB9ifj5h5BTc3HMmpe4eblyLz5nE3shoNHJw1yEaNq3PiPFv8tbT7xIQWI6nXhvA4Eeez9fYS6r6XZrxfx89ZX6+7N2ZOHrkvJ86ebiQnMv9NDk+Ec8b7qfOmffT5Cz3072LNnHhwCkAjqzaxelthwlqd685WT219fr99MTG/Wz7YSUNujVXsnob6nRtRqcs9bhy1EycLHwuOnm4WPxxFyA5LhF3P8ufi5bqPinmGjtmrGLIge+4EhpubsXNOlb15Ib97JyxknrdmytZzYN/E097z+zfQRw8Xc3ddLOVj0+0nMR6uJCaWXf3fjSIUrUqsqzFm8SfjqBUrQq0mPEGGE2EzLleNza2NjSd9DSl61dh/WNjSbuWlOO4knfp8Rk/PNh6ZO8yb/B0IzUiZ51m5fN6f7x6BBPadwRp4dd7RaTHJ5B6KZrL3ywEMroOX/52If6jni7UyeqDLmV50KWs+fnl4pKoajZgi26ZrNarVy/bvw2Goj9L6tElWzm6ZKv5uXtAGeycHPAOqsDlzLEY3kEVsHO0J/JQzhnWACIPn6VW12bYGGzNXZ5861fm6pkIc4IbczYSvwZVuJj5RcrGYItP7Yoc/nWLxWMCmIxGDWyXEmvV4rWsWrzW/NwvwBdHJ0eq1apCyJGMJKVarSo4ODpw/FDIbR/Xzs5AYOaY1Yb31cfTy4PZq77LVmbctNGs+W0DHw+bmA9nUnIcWLqVA0uv3089A7yxd3TAN6gCEZn3U9/M+2n4Ycv30/DDZ6jfpRm2BltzV+By9atw5UyEOcmJOp0x7iovTEZTrr2BJLtDS7ZyKMvnokeAN3ZODvgEVSAysx59MusxIpd6jDh8hro3fC7616tCdJbPxRvZ2NpgsDdQurJfti7HWZmMJn0u5lFqXCLxZyMp07AqUbuvfwfxqlOR0wtzfgeJ/ucMBicHStWqYG4pLVWrAgZHe6IzvweVrl+FU/M3En86AoCrR8I4t3IXAe0bm5NVWwc7mn39Ei5+pVnXYwwpV2/9o6LcHmNcAilh4TjXr07i3qMZGw22ONWqwtXFuXcB9v/gOdxa3MOp3sNJvWHYS9I/J3G5p5Y1wxa5Y3kaaNqzZ0+++eYbzp61/IFSVMWdj+LUun08/E4/nL3ccPZy4+F3+nFyzR6L41UBTqzYidFootkbPbBztKdMjfLc+0wn9s26/kV735x13PtMJ8rUKI+doz3N3uhBelo6IZnjN3zqVsKnXiVs7Q3YGGwJbFGXe57qwNHf/r4r5y0Z0tPTSU5OITU1FYCU1FSSk1NyHZ8td0/4+Qi2rP2bV959Ac/SnniW9uSVd19g0+q/ch1r2vShe6l3bx3sHewxGAw0btaI3v/rydb12wFY+/sGuj3Ql/5t/2d+AHw8fBJffvTtXTu34irm/GWOr99L+5GP4+LlhouXG+1HPs7RNbstjlcFOLxyJyajkVavZ9xPfWqU58GnO7Fj9hpzme2zVtOw50P41Q7ExsaGmm3uIfC+II5kjln1r1MJ/7qVMNgbsDXYUrVFPe4f3IEDup/+J7HnLxOyfi/Bbz9u/lwMfvtxjq/ZbXG8KsCxzHp8OPNzsWyN8tz/TCd2ZanHJk+2x9XbAwCX0u50/PBJ0lPSOLcrYxyeX91K+NW9/rlYuUU9mj7VgUNLVY95dWLWWoKe64RnzfIYnOyp92YPjKnpnFuxM0fZhPOXOb92Lw3ffRyH0m44lHaj4buPc271bhLOZ9T3pe1HCezWDJcAbwA8qpUjoH1jrhwIBcDOxZGH5wzFsZQb63t9pETVCq7MXY73091wrBGIjaMDPq89jiktndjVFq4Pgy3lJ7+J6331CLWQqAJEL1qLrbMjZf7XDewM2Jcri/fT3YlZlnujiliR0WT9RxFks2HDhtuOfNOmTSxfvpydO3dSu3ZtOnfuTKtWrXB0vPnSD7sHfH/HgVqbk6crrccMpErrhgCcWrc32zqr/3Yd/rzW/8z7eAdVIPjDQfjWq0RKXCL75623sM5qD+r3a4WDuzMRB0JZ985M8xqqVdo04qERfXAvVwZjWjqx5y+zf+46DmSuWVbYvLJndEGHYBVLlq3hnY9ydnGf8fk4mt5T38IeRdeD9Z8s6BDyzKOUO0PHvsaDwfcDsGXt39nWWf2363DL6h0BaNmxBU8PeZKAQH+M6UYiwy+zevFaZn3xI+np6RbfY8eFP4vUOqsdHMoXdAg35ezpSufRg6jRqiEAx9bvzbbO6r9dh8fWud7t1DeoAo+MHoR/vcokxyeya966HOustnjhUZr2b4OThwtRp8PZOHUxR9dk1FnN4Ea0G9EXD/8yGNPTiTl/mR1z17FrXuHsOupYBL4zOHm6ZqyzmlmPIev3Zltn9d+uwxNqX69Hn6AKtB+TWY9xieyZty7bOqu9ZryJf/0qOLg6khKfyIX9p9gydTEXD2YkPNWDG9F6ZGY9pmXU456569hTCOuxSmpBR3Br9Yb2oOrjrbF3d+bK/lB2jZxJzNEwXALK0GnjeP58fDyXdhwDwKGUK43HDqJccEMALqzdm22dVTsXRxq83YeA9o1x8HQlJTqesGU72P/xzxhT0qj8WAvun/ocaYkpGb3EMiWcu8zyVsPv+rnfrnpOMQUdQp74vPY4Xn07YHBzJvFgCBfe+5rkY2ewL1eWaqu+4szg90nYeQiXpnWpMv8TjMkpmNKyf/YdqfeY+d/OjYLwf+d/ONWsRNrVWGL+2Ezk5HmYklPu8pn9d5dnvFnQIeSLpocWWv09dtTpafX3yG95Slb/FRkZyYoVK1i5ciVxcXEEBwfz+uuv51q+KCSrcmvFNVktSYpisio5FfZkVW6tKCSrcnNFIVmVWytqyarkVGyS1YMLrP4eO+r1svp75Lf/tN6Mj48PAwcO5JtvvqFBgwb88ccf+R2XiIiIiIiIlGC3nGDJkj179rB8+XK2bNlCQEAAL774Yn7HJSIiIiIiUjJorhSL8pSszpkzh5UrVxITE0OrVq2YMmUKQUFB1opNRERERERESqg8Javbt2+nf//+tGrVCicnJ2vFJCIiIiIiUnLkcXm2kuK2k9W0tDSqVq1KcHAwDg4O1oxJRERERERESrjbnmDJzs6OjRs3KlEVERERERHJT0aj9R9FUJ5mA7733nvZsWOHtWIRERERERERAfI4ZtXT05P333+fZs2a4e/vj42Njfm1wYMH53twIiIiIiIixZ5RY1YtyVOyGhoaSs2aNYmKiiIqKsq8PWvSKiIiIiIiInKn8pSsTp482VpxiIiIiIiIlEymojmm1NryNGZVRERERERE5G7IU8vqK6+8kmuX36lTp+ZLQCIiIiIiIiVKAY9ZNZlMzJw5k2XLlnHt2jVq1KjBa6+9RuXKlXPdZ+XKlSxYsICLFy/i5OREq1ateOWVV/I1rjwlq40bN872/PLly/z555907NgxX4MSERERERGRu+Pnn39mxYoVjB8/noCAAGbPns2wYcOYPXs2zs7OOcovWLCAxYsXM2LECOrUqUNKSgphYWH5HleektWBAwfm2BYcHMwff/yRbwGJiIiIiIiUJKYCXgd16dKl9OrViypVqgAZK70sW7aMzZs3065du2xlr127xg8//MCoUaOoX78+AM7OztSoUSPf47rjMasNGjRg27Zt+RGLiIiIiIiI3EXx8fGEh4dTq1Yt8zaDwUD16tU5ceJEjvKHDh0iKSmJc+fO0b9/f7p168bQoUMJCQnJ99juOFn9888/cXV1zY9YRERERERESh6jyfqPXCQkJADg5uaWbbubm5v5taxiYmIA2LJlC5MnT2b+/PlUq1aN4cOHEx8fn49/lDx2A+7Vq1e2CZaSkpJISEjI94G0IiIiIiIi8t+tPXGBtScumJ9XsK9L06ZNc5RzcXEByJFoxsfH4+3tnWv5xx9/nLJlywLwv//9j8WLF3Po0CHuu+++fDuHPCWrgwcPzvbcxcWF6tWr4+/vn28BiYiIiIiIlChWWGe1TTU/2lTzMz/faSFRhYwWVD8/P44ePUqdOnUASE9PJyQkhLZt2+YoX716dYBcV4nJT7eVrF65cgUbGxs6dOgAQGpqKj/++CMnTpwgIiKCxx57zKpBioiIiIiIiHV06dKFBQsWcM8991CuXDnmzJmDnZ0dLVq0yFHWx8eH5s2bM2/ePKpVq4abmxuzZs3C3d2dunXr5mtctzVmdcKECezcudP8fPr06fzyyy8YDAbmzp3Lzz//nK9BiYiIiIiIlBgFOGYVoHfv3rRv354hQ4bQpUsXDh48yLhx43B2diYiIoKOHTty4MABc/m33nqLcuXKMXDgQB577DFOnDjB+PHj830uo9tqWQ0JCWH48OFAxoKxK1asYMSIETz44IPs3r2br776it69e+drYCIiIiIiImJ9NjY2DB48OMewTwBfX19WrFiRbZurqyvDhw8354jWclvJakJCAqVKlQIgNDSU5ORk88DZRo0acenSJasFKCIiIiIiUqwV8DqrhdVtdQN2cXExzw51/PhxqlSpgp1dRp6bnp6OUX9cERERERERyUe3lazWr1+fadOmERISwtKlS7NNeRwWFkaZMmWsFqCIiIiIiEixVsBjVgur20pWn376afbv388zzzxDamoqPXr0ML+2bt066tWrZ7UARUREREREpOS5rTGrfn5+zJw5k9jYWDw8PLK91rdvX3OXYBEREREREckjK6yzWhzkKcu8MVGFjEVkRURERERERPKTmkRFREREREQKUhEdU2pttzVmVURERERERORuUsuqiIiIiIhIATJpKVCL1LIqIiIiIiIihc5daVlNslEf7OLgwfpPFnQIcof+OvBDQYcg+aBGzW4FHYLcofectORbURdlKOgIJD80PLe3oEOQO7S2oAPILxqzapFaVkVERERERKTQ0ZhVERERERGRgqSWVYvUsioiIiIiIiKFjlpWRURERERECpJJswFbopZVERERERERKXTUsioiIiIiIlKQNGbVIrWsioiIiIiISKGjllUREREREZECZFLLqkVqWRUREREREZFCRy2rIiIiIiIiBUktqxapZVVEREREREQKHbWsioiIiIiIFCSj1lm1RC2rIiIiIiIiUuioZVVERERERKQgacyqRWpZFRERERERkUJHLasiIiIiIiIFSS2rFqllVURERERERAodtayKiIiIiIgUIJNJLauWqGVVRERERERECp08tazGx8djb2+Po6MjRqORFStWYDAY6NChg7XiExERERERKd40ZtWiPLWsjhw5kpMnTwIwe/Zspk+fzvTp05kxY4ZVghMREREREZGSKU/J6pkzZ6hZsyYA69atY8KECXz22WesXr3aKsGJiIiIiIgUe0aT9R9FUJ66ARuNRgwGA5cvXyYhIYGqVasCEBsba5XgREREREREpGTKU7IaEBDAypUruXDhAo0aNQIgJiYGJycnqwQnIiIiIiJS3JmKaMunteUpWX322Wf56KOPcHBw4MMPPwTg77//NncNFhEREREREckPeUpWGzVqxC+//JJtW5s2bWjTpk2+BiUiIiIiIlJiqGXVojxNsHTu3DmuXr0KQGJiIjNmzGDevHkYjUZrxCYiIiIiIiIlVJ6S1Q8//JCoqCgAZsyYwebNm9m8eTNfffWVVYITEREREREp9ox34VEE5SlZvXDhApUrVwZg06ZNjB07lgkTJvDXX39ZJTgREREREREpmfI0ZtVkMmFjY8OFCxewsbGhXLlyAFy7ds0qwYmIiIiIiBR3mg3Ysjwlq1WrVmXu3LlERERw7733AnDp0iVcXV2tEpyIiIiIiIiUTHlKVl9++WWmTJmCvb09b731FgC7d++mcePGVgnubnLycKH9mEFUa90ITCZCNuxj5aiZJMcm5LqPT1AF2o8ehF+9SiTHJbL3x/VsnvKr+fUWr3anXo/mOHu5Y0xL5+LBUDZ8Mp+Iw2fMZep0bUaz5x/FM8CblGuJHFm2nfWfzCc9Jc2q51tSuHu6MXTsazRv8wAmk4m/1m1j/MgpxMfGWyxfrqI/H3z+NoFVK2Bnb8/VqKv8sWAlP0ydg8mU8xev8dM/pGXHFrzY+w12bt5t7dORXCxfu5H5i/7gWMgpriUksu/PP7CzMxR0WJKFh6c7H4wbQev2D4HJxPrVm3l32MfExcbdct+6DWrx66o57Nv9D706DzJv/3DiO7Rs8yAepTxITkph57Y9jB01ifNhF6x4JiVDwyHdqdGvFfYezkQdOM22kTO5euycxbIOni7c9+FAKrTJ+PwMW7eP7W/PIiXL56eLf2kaj+xNQKv6GOztiD8fxaYXvyT6SBgAjYb1pHxwQ0rVKM/lfSdZ0W3MXTnP4q7pG92p068VDu7ORB48zZ9vz+RKLvXo6OnCQ2MGUik4ox5Pr9/Hn+9cr8cytSrSbERvvOsE4upTiiV9P+bclkPZjuHToArNRvbBu3YgJqORCzuOseX9OcSdj7L6uZYkpUp58tnUD+ncqQ0mk4nlK9bx8itvExMTm+s+aSnnSUxMJD39+sDF5g89yj//HDU/v/++xowZPZx7721Aeno6R46c4KGWXS1+/xErUMuqRXkas1q1alU+//xzPv30U3x8fADo0KGDOXEtyrpMfQFXb0++euh1vnr4DVy9PXl00nO5lndwdaLvnOGE7TrO5IbP8dMT42jYpxVNn+pgLnPo97+Z8cg7TKr3NFObvkjo5oP0mT0cG1sbAHxqVaTL5OfZ8vkSJtZ7mpndP6DKw/Vp8Wp3q59vSfHB5+9QuqwX3Zr1o/uDj1O6rBfvTR2Ra/mrUVcZ88Y4OtTvRuuanXipzxDad2vDY092y1G2U8/2ODk7WjN8uU2e7u706f4Iw199tqBDkVxM/uYjvH3K0LLxI7S89//w9inDpK9unZA4ODow4YsxbN+a88egWdN+on3zHtSv9CAP3dOJ82EX+XrmJGuEX6LUea4z1fs8zOrHxzG/3vNE7jxO23nDsHOxfL9r8fkLOJf1ZFGzN1j04BCcy3rSfMr1a9GhlCudFo8i8VIMi1sMZV7Np1n/1GQSI2PMZeJOR7J34iKOz1tv9fMrKRo925lavR/mt/7j+L7B84TvPM6jc4dhn0s9tp36Ai7ensxp/gZzWgzBxduTNpOv16MxNY2TK3ay7MlcrjEbGx6ZOYSoI2HMaPwis5u9jjE1nXZfvGiN0yvRZs/8HF+fstQIakbNWg/i61OWH2ZMueV+Xbs9SanSNcyPGxPVP36fw6w5CyhXvgG+/vUY8ub7SlSlwOUpWf1XYmIiFy9e5MKFC+ZHUeYR4E211o1Y++E8EqPjSYyOZ+2H86jRrjEe5cpY3KdmhybY2Nry56RfSEtO5dKxMLZ9+wf3DmxnLnPl1EWSMn+RtLGxwZhuxK2sJ86l3ADwquhDUlwiR/7YBiYTsecvE7J+H351K1n9nEsCvwBfmrd5gKkffEXMlRhirsQw9YOveLh9c3wDfCzuk3AtkbMnw64vx2QyYTIaqVi1QrZyPv5leW74U4wdOsHapyG34cH7GtOpbUvKl/Mv6FDEgoDy/rRu9xAfjZpE9JWrRF+5ykejJtG2YyvKBfjddN+hb7/M1k3b2bVtb47XThw7ybX46613JqORKtUq5Xf4JU7QwGD++WY5V4+eIz0plb0TFmJwsKNix3tzlHUNKEOF4IbsHP0jydHxJEfHs3P0j1Rs3xjXzM/POk93JOlKHLsyywDEhUaQFHW9FShkwSbOrdlL8hXLvV4k7+oNCGbvt8uJyqzHbRMXYrC3o0qHnPXoHlCGSsEN2TLmR5Ki40mKjmfLmB+p0q4xbpn1GB1ygcM/bSTyQKjF93P0cMbF25PDP/+JMSWN1GtJHFu0mbL6TpOvKlYMoFOnYIYOH01UVDRRUdEMHT6aR/+vPRUqlPvPx/3k47f54Yf5zJ27kMTEJNLT09mxM+d9V6xIswFblKdkNTw8nJdeeolHHnmE/v3788QTT5gfRZlf7UDSklKIPHLWvC3yyFnSklPxrR1ocR/f2oGEHzqDKUt3igsHTuEV6IuDm7N5W7XWDRly4DveOjGLtqMeZ/v3y0m4ktHt7eSfB4gODadO12bY2NpQqqIP1YMbcXTFTiudaclSo241kpOSOXH4pHnbicMnSUlOoUadajfd97vFn7Pp5GqWbP8ZV3dXFv6wJNvr73w6nBlT5hBxPtIaoYsUK7Xr1SQ5KZkjh46btx05dJzk5BRq16uZ635NH7iH1u0fYsKHn+da5vEnH2N/6BYOh21j0LP9mPTRF/kae0lj7+6Me0UfLu+7ft80pRuJ+ucMZSwkHaXrBJKelEL04eufn9GHz5KenErpOhmfn+Ueqkvc2Uu0+v41+v7zDd02TaD+a13NvYwk/zm4O+NR0YfIG+rx0qEzFpNH7zoZ34OisnwPijqSUY/edSx/D7pRckwCB2aupk6/ltg5OeDg4ULQYw9xUt9p8lWDBnVISkriwIHD5m0HDhwmOTmZBg3q3HTfWTM/I+LiP+zYvpKnBvczb3d2duKBB+4l3ZjO33/9QcTFf9i+bQXdunWy2nmI3K48jVn9/PPP8fT05JtvvuH1119nypQpTJ8+nZYtW950vxOJFziRdNH8vLqTP9Wd//uvP/nNwc2ZpLjEHNuTYhNwdHe2sAc4ujvnGM+aFJMxK7KjmzMp8RnHC1m/j0n1n8HJ05X6PVsQe/GKuXxaUgr75m+g/ehBPDrpOWztDBxYuIn9Czbm05mVbK5ursTH5ZypOi42Hle3m08K9ky3l7G1taXOPbVo3qYZ0VHR5td6DOyKjY0NS+b9nu8xixRHbu5uxFkYJx4XE4ebu5vFfVxcnRn32QcMf+U9khKTcj32vB9+Yd4Pv+DjV5Zej3fNlhBL3tlnfualxGT/fEuJuYa9W87PQ3t3Z1IsfH6mxCaYj+Xo5Y53wypsfvVbNj73OaVqBNBm1hCMKWn889UfVjgL+fdH8xu/pyTnUo8ObpbrMTk2IdsP8LcSsmwHLT96kmeOfo+NDVw6dJbfB4zPY/RyMx4e7sTE5Bzrf/VqLB4e7rnu1659b7b+vYv09HTaBLdg9qzPsbOz49vvZlO6tBcGg4En+j9Gl64D2bvvH/7v/9rx49yvaB3ck23bC9ecHCZjEiZTsvn5jh07aNq0aQFGlD80G7BleWpZPXz4MMOHD6d69eoAVKtWjSFDhrBw4cKb7lfduRydvBqbHwWdqNbp2oyhh6ebHza2NjhZSEqdPFxItnDzBkiOS8TRwyV7ec+MBCg53kLiG3ONHTNW0Xnc0/jUqghAvR4taDWiL7/871M+rjaQqU1exNnLnS5TNb7jv2jfrQ0bT6wwP2xtbXBzz5mUunu4cS3+1sstGY1GDu46RHxsPCPGvwlAQGA5nnptAGOH6MNXJDddenbinzN/mx82tja4e+RMSt093YmPs9ztc+QHQ9i4dgs7/t5zW+8ZGX6Jn2YtYsZPn+NdtvQdxV+SpWZ+5jl4Zv98c/B0JdXCZ1tqXCIOFj4/HTxczMdKjU/k8r5TnPr1L0xp6UQfPsvRWWsJtNCtWPLHvz+Y3/g9xTGXekyJt1yPjh4u5mPdimclX7rMe4sDM9fwTY3BfBv0NKfX7aXnkvew0/wO/1nfvt24euW4+WFra4unZ86ktFQpD2JvMmHd+g1bSEpKIjU1lRUr1/P5F9Pp/3gPAOIy78Oz5yxg1+79pKens2TJCjZu3EqXLu2tc2J3wMbWCVuDp/lRHBJVyV2eWlbT09Px8PAAwMnJiaSkJLy9vYvcmNVDS7ZyaMlW83OPAG/snBzwCapA5NGMmQl9gipg52ifbeberCIOn6Fu12bYGGzNXYH961Uh+kxErjd2G1sbDPYGSlf2I/LIWfzrVyZs+1HCdmQMcI+PvMreH9fT7cuX8/N0S4xVi9eyavFa83O/AF8cnRypVqsKIUdOAVCtVhUcHB04fijkto9rZ2cgMHPMasP76uPp5cHsVd9lKzNu2mjW/LaBj4dNzIczESnali5cztKFy83PA8r74+jkSFDt6hw9fAKAoNrVcXR04PDBYxaP8XBwMzw83Xm0R0cgo5uanb0du49vpHv7JzgTGpZjHzt7O5xdnPEP8OPypSs5XpdbS41LJO5sJN4NqnBpd8Z90sZgS+k6FTm5aEuO8lcOncHg5IBXrQrmmX29alXA4GjPlUMZn59RB0/jFVT+7p2EkBKXSOzZSHwaVCF8z/V69K5dkWMW6vHyoTPYOTlQJqgCUZnfg8oEZdTj5UOWvwfdyLtWRdKSUvhndsbnsJE09n67nKavdaNMzfJEZOmSLLfvp58W89NPi83PK1YMwMnJiXr1anHw4BEA6tWrhaOjI/v3H8rtMDkYjUZsbDK64sfGxhESEqrJlApaER1Tam15aln19/fn1KmML/2BgYH89ttvLF++3JzAFlUZExvtJfjtx3H2csPZy43gtx/n+JrdxF6wPN36sZU7MRmNPPxGD+wc7Slbozz3P9OJXbPXmMs0ebI9rt4ZfxuX0u50/PBJ0lPSOLcro5ta2I5jVLgviIDG1c1lGvZpSfhBy5MXSN6En49gy9q/eeXdF/As7YlnaU9eefcFNq3+K9expk0fupd699bB3sEeg8FA42aN6P2/nmxdvx2Atb9voNsDfenf9n/mB8DHwyfx5Uff3rVzk+zS09NJTk4hNTUVgJTUVJKTU65PlCUF6vy5i6xfvYmRo4fgVboUXqVLMXL0ENau2MiF8+EW9+nW/gnaN+9B55a96NyyF/NmLuTwwWN0btmLc2cv4FW6FD36PopnqYx7rH85X8ZMGMn5cxc5duT2f4ySnI7OWked5zpRqmZ5DE72NHyzB8bUdM6u2JWj7LXzUYSt28e9o/rh6OWGo5cb947qx9nVe7iW+fl5bPZaStetROVH78+Yn6FGADWfCOb0H9vNx7GxM2BwtMfGzhZsbDA42mNwtL9r51wcHZy9jkbPdqJ0Zj3eN6QHxrR0Tq3MWY9x56M4vW4fD47qh5OXG05ebjw4qh+ha/YQn+V7UNZ6sf23zgwZXyUjD5zC4GBHnX6tsDHYYnC0p+H/OpASn8jV0Is53lP+m7Nnz7N8+TrGfzKKMmW8KFPGi/GfjOL3P1YTlsuyXY0a1uWeRvWwt8/4btO2zUO88vL/mP/zEnOZL7/6gQFP9KJBgzrY2NjwyCNteeih+1m8eMVdOjMRy2w2bNhw2z+j/Pnnn7i4uNCkSRP27dvH22+/TUpKCm+++Sbt2+feTeCvgdPyJVhrcvJ0zVhntVVDAELW7822zmqdrs3o9NFTTKj9lHkfn6AKtB8zCP96lUmOS2TPvHXZ1lntNeNN/OtXwcHVkZT4RC7sP8WWqYu5mCUZbfJke+7p3wZ3Xy9Sk1II23GUtWN/JPb85btz4nmwNNXy2myFmUcpd4aOfY0Hg+8HYMvav7Ots9q+WxtGjB9Cy+oZrTctO7bg6SFPEhDojzHdSGT4ZVYvXsusL34kPT3d4nvsuPBnkVln9a8DPxR0CFaxZNka3vno0xzbZ3w+jqb31C+AiKyrRs2cSykVdp6lPPhg3AhatWsBwPpVm7Kts9qlZyfGThpF3cAHLO7/6rDnePDh+83rrJby8uTz6eOpUy8IR0dHYmJi2bF1N1PGfc3pU2ctHqMwec+pXkGHcFMN3+xBzcdbYe/uzOX9oWx7eyZXj57DtVwZum4cx5r+E4jckdEq7lDKlfs/HEj54IYAhK3dm2Od1fJtG9F4eC/cAsuSGBnDiR83cvCrPyCzJaf55Geo1uuhHHHMDOhv/ZP9j+L/03oKd1fTIT2ur7N6IJRN78wk6ug53MqVod/6cfw+YAIXM+vRsZQrD48ZSGDrhgCcXrc32zqr7uW9Gfj3lBzvsePTX9kxOeO7T4WH6nLfGz0oVTVjuFfUsTC2T1zIhW1Hc+xXWLwWsaGgQ8gzL69SfDb1Qzp1DAZg2fK12dZZ7du3G19/OY5SpWsA8Ejntnz88dtUKF+OtLQ0zpw9z7ffzua7aXOyHXf4sJd47tmBlCrlwYmQUMZ8+Cm//7767p7cf7B29byCDiFf1J/6ntXf48CrH1j9PfJbnpLVG6WlpZGamoqz880H3xeFZFVurSgmq5JdcU1WS5qimKxKdoU9WZVbKwrJqtxaUUxWJTslq7evKCareRqzmmNnOzvs7O7oECIiIiIiIiWbRi5ZdMtMs1evXuYB2Dfz888/50tAIiIiIiIiIrdMVgcPHnw34hARERERESmRTGpZteiWyWqHDh3uRhwiIiIiIiIiZnmaHmD16tWEhGRfEuDEiROsWbMmlz1ERERERETkpox34XETJpOJH374gZ49e9KxY0deffVVQkNvvZzmtWvX6NOnD61atcp15Yw7kadkddasWZQuXTrbtjJlyjBz5sz8jElERERERETukp9//pkVK1Ywfvx4lixZQt26dRk2bBiJiYk33e+LL76gQoUKVosrT8nq1atXcySrpUuXJjo6Ol+DEhERERERKSlMRus/bmbp0qX06tWLKlWq4OjoyODBg0lNTWXz5s257rN161ZCQ0Pp06dPPv81rstTslqmTBnCwsKybQsLC8PLyytfgxIRERERERHri4+PJzw8nFq1apm3GQwGqlevzokTJyzuExMTw2effcbw4cMxGAxWiy1PyerDDz/Mxx9/zIkTJ0hMTOTEiROMGzeOli1bWik8ERERERGRYq4Ax6wmJCQA4Obmlm27m5ub+bUbTZ48mc6dO1O5cuU8n2pe3HI24KyeeOIJwsPDefbZZ81rr7Zu3ZoBAwZYJTgRERERERHJu/WXr7Ah6vpwzco7dtC0adMc5VxcXICMFtas4uPj8fb2znnc9eu5cOECo0aNyueIc7rtZHX//v0cP36cRx99lJdeeonw8HD8/Pzw9PS0ZnwiIiIiIiLFmjXWWW1VujStssw3dMhCogoZLah+fn4cPXqUOnXqAJCenk5ISAht27bNUX7Hjh2EhYXRvXt3c1mA7t278/zzz+fr0qe3lawuX76ciRMn4uHhQVxcHG+99ZbFwEVERERERKRo6dKlCwsWLOCee+6hXLlyzJkzBzs7O1q0aJGj7IsvvshTTz1lfn7o0CE++OADvv3223xvyLytZHXRokWMGDGCtm3bsnr1ahYtWqRkVUREREREJB9Yo2U1L3r37k1CQgJDhgwhISGBmjVrMm7cOJydnYmIiGDQoEGMGzeO+vXr4+7ujru7u3nfUqVKAVC2bNl8n2zptpLViIgI2rRpA0BwcDBff/11vgYhIiIiIiIiBcPGxobBgwczePDgHK/5+vqyYsWKXPdt2LAhGzZssEpct5Wsmkwm84RKBoPB3C9ZRERERERE7kxBt6wWVreVrKampjJjxgzz8+Tk5GzPAYtZuIiIiIiIiMh/cVvJau3atTl48GCuz/9tdRUREREREZE8MimfsuS2ktUpU6ZYOQwRERERERGR6257nVURERERERHJfxqzapltQQcgIiIiIiIiciO1rIqIiIiIiBQgk1FjVi1Ry6qIiIiIiIgUOmpZFRERERERKUAas2qZWlZFRERERESk0FHLqoiIiIiISAEyaZ1Vi9SyKiIiIiIiIoWOWlZFREREREQKkMasWqaWVRERERERESl01LIqIiIiIiJSgLTOqmVqWRUREREREZFCRy2rIiIiIiIiBchkKugICqe7kqx6qVm7WOjgUL6gQ5A7VKNmt4IOQfLB8WOLCzoEuUOPNnqxoEOQO1TR4FbQIUg+WO31YEGHICI3oZZVERERERGRAqQxq5ZpzKqIiIiIiIgUOmpZFRERERERKUBqWbVMLasiIiIiIiJS6KhlVUREREREpABpNmDL1LIqIiIiIiIihY5aVkVERERERAqQxqxappZVERERERERKXTUsioiIiIiIlKATCa1rFqillUREREREREpdNSyKiIiIiIiUoBMxoKOoHBSy6qIiIiIiIgUOmpZFRERERERKUBGjVm1SC2rIiIiIiIiUuioZVVERERERKQAaTZgy9SyKiIiIiIiIoWOWlZFREREREQKkMmollVL1LIqIiIiIiIihY5aVkVERERERAqQyVTQERROalkVERERERGRQkctqyIiIiIiIgVIY1YtU8uqiIiIiIiIFDpqWRURERERESlARq2zapFaVkVERERERKTQUcuqiIiIiIhIATKpZdWiPLesmkwmoqKirBGLiIiIiIiICJCHltWkpCS+/PJLVq1ahcFgYMWKFWzZsoXTp0/Tv39/a8YoIiIiIiJSbGmdVctuu2X1m2++ITw8nEmTJmEwGACoUaMG69ats1pwIiIiIiIiUjLddsvq1q1b+f777/Hw8MDWNiPH9fHx4fLly1YLTkREREREpLjTbMCW3XbLalpaGq6urtm2JScn4+jomO9BiYiIiIiISMl228lqUFAQS5YsybZt5cqV1K5dO79jEhERERERKTFMJhurP4qi2+4G/Nxzz/Hqq6+yYcMGkpKSGDJkCCEhIXzxxRfWjO+uafJGd2r3a4WDuzOXDp5m09szuXLsnMWyjp4utBgzkMDgRmAycWb9Pja9M4uU2AQAavZoTu3HW+NVvRyYTEQdPcf28QsI33XCfIzWnz5D9a7NMKakmbcdnLWGbR//bN0TLeacPFzoPHoQNVs3woSJ4+v3sezdmSRl1o0lvkEV6PzBIMrVq0RSXCK7f1rPhim/ZitT4Z5qBL/Zi4D6VTAajVw6cZ7pPUdjyhwNP/r0PFKTUjCmG837TOv+PpHHwqxyniWJh6c7H4wbQev2D4HJxPrVm3l32MfExcbdct+6DWrx66o57Nv9D706DzJv/3DiO7Rs8yAepTxITkph57Y9jB01ifNhF6x4JnIzy9duZP6iPzgWcoprCYns+/MP7OwMBR2WZOHm6cYLY16gaXBTTCYTO9fv5Mt3vuRa7DWL5Ws2rEnfV/pSvUF1nJydiDgfweJpi1mzYE22chWqVWDwyMHUu68eABfPXOTdge8SfSna6udU0rh4uNJn9FPUb90YEyYOrt/DT+9+T2Iun5H2jg48+elLlK9dibKBvqz8cjFLJ83PVuaR1x6j88s9SUlKMW87sG4X01+ZatVzKakqD32Mcv2DsfNwIW7/KY69NZ1rRy1/16jyVm/KtLkH15oViN0bwp5H3832es3xT+Pbs0W2bXauToRNW86Jd2Za6xRE8uS2k9WKFSsyc+ZMVq9eTdWqVSldujTDhw/Hx8fHmvHdFQ2f7Uyt3g/ze/9xxJyOoMmr3Xhk7jB+fHgoaQnJOcq3mfoCtg52zGv+BgBtv3yJ4MnPsuKpyQDYuzmxa+piwnedID05lboD2/DInGH81Go418KvmI9z8vftrH3167tzkiVEzykvYHCwZ8rDrwPw2Ocv023Sc/z09KcWyzu4OjFg9nD2LtzM7AGfULqSH0/MHEZSXAJ/T18JZCSq/WcOY/n7s5k3eCLpqWmUq1fZnKj+a95TEzn11yHrnmAJNPmbj3BwdKBl40cA+Oz7cUz6agzP9H/tpvs5ODow4YsxbN+6O8dwhVnTfuLj9z/lWnwCzi7OvDHiRb6eOYlHg/ta6zTkFjzd3enT/RGSkpN59+MpBR2OWDB06lDsHewZ3HwwAG99+RZDJg9h9FOjLZb38PJgy4otTB46mZioGOo/UJ/3pr9HfEw8f6/6GwD/QH8mLZ7E/M/nM+GVCSReSySwZiCJ1xLv2nmVJIOnvIKdgx1vP/wSAE9//hqDJr3E10+Pt1jehImTe46xce4qug3rl+txT+05zoTHRlklZrmu4gv/h3/fVuzrM5bE0HAqDelJw/lvs63Zq6Rb+L6aeDqCU+MXUKZlA9zqVsrx+rFh0zg2bJr5uWvtity3YSLhv2yy5mlILjQbsGV5WmfV09OTxx57jNdff52BAwcWi0QVoO6AYPZ9u5wrR8+RnpTK9okLMdjbUaXDvTnKugWUITC4IVvH/EhSdDxJ0fFsHfMjlds1xq1cGQD+mbWWsD8PknotCWNaOgemr8KUbsSnYZW7fWolimeANzVaN2Ll2HkkRMeTEB3PyrHzqNW2MZ6ZdXOj2h2aYGNry/pJv5CWnErksTD++u4P7hvQzlym3Vt92fPzn+z/dYu59fTcvpN367RKtIDy/rRu9xAfjZpE9JWrRF+5ykejJtG2YyvKBfjddN+hb7/M1k3b2bVtb47XThw7ybX46y0JJqORKtUq5Xf4kgcP3teYTm1bUr6cf0GHIhb4BPjQNLgp08ZMIzY6ltjoWKaNmcYD7R6gbLmyFvfZuWEna39ZS0xUDAAH/j7Avq37qP9AfXOZx19/nP1b9/Prd7+SEJ+AyWTi9NHTJCUk3ZXzKklKB3hTr/U9LBw7m2vRcVyLjmPh2Nk0bNsEr3LeFvdJS05l3fRlHP/7EKnJqXc5YrlRwJPtOfv171w7EoYxKZXQT37Gxt6Osp2aWix/cf5GolbvJvXKrXsiAZQf1J6YPSeI238qP8MWuSO33bK6atUqi9sdHBzw9fUlKCjIPEtwUeLg7oxHRR8isiQfpnQjlw+dwbtuJY7/+le28t51AklLSiHqyFnztqgjZ0lPTsW7TiDxF6JyvIdPw6rYuzoRdfhMtu2BwQ0ZfOBrkmMTOLfpH7ZPXEjSbd5QJCf/2oGkJqcQkaVuIo6cJS05Fb/agcRYqBu/2oGEHz6Trfvu+f2nKB3oi6ObM8a0dCo0rkHYnhCeWTKa0oE+XD13mU1fLuXwyp3ZjtVjygsY7AxcPX+ZnXPXsXv+BuudbAlRu15NkpOSOXLouHnbkUPHSU5OoXa9mlw4H25xv6YP3EPr9g/RuWVvnn15kMUyjz/5GMPefRUPD3dSU1P5+L3J1jgFkWKhSp0qpCSlEHok1Lwt9EgoqcmpVKlThUsXLt3yGC5uLgQ1DDK3qgI0atGIv1f9zcc/fUzVulWJiojij1l/sGzOMqucR0lWoXYlUpNTOHfk+neRc0fOkJqcSoXalYi+8N9Xd6hQpxITd08nJTGZk7uPsWTCT0Sdi8yPsCWTwd0Z54o+xO4NMW8zpRuJ/ycUt3qVYeHmOzu+mzO+PZpzfMSMOw1V/iPNBmzZbSer06dP5+rVq6Snp+Pu7k5cXBwGgwE3NzdiYmKoUKECH374IeXLl7dmvPnOwc0ZwDze9F/JMdfMr91YPiUuZ/ek5NgEi+Xd/EvT7quX2PPV78Sevf5hfvCH1fz98c8kXorBo5IvD48dRKcZb/Br1w/u9JRKLEc3Z5Jjc9ZNUmwCjhbq5t99bhyrkxhzzfwagK3BloY9WjD3qYmEHzpNzTb38NjnL/NDnzGE7cn40JjZ7yPO7j6e0UL3YF16Tn0RWztbds7VOsR3ws3djbjY+Bzb42LicHN3s7iPi6sz4z77gOGvvEdSYu6tM/N++IV5P/yCj19Zej3eNVtCLCLZubi5cC0u59jU+Nh4XNxcbrm/nb0db331FmEnw1j/63rzds/SngT3DGb0U6PZv3U/te+tzQczPyDuahybfldXxPzk5OZicWxqYuw1nHP5jLwde5ZvY+svG7hy/jKlfEvTfUR/Xp83ijEdh5KsFvJ8Y+eecZ2lxWSvw9SYa9i5//f6+5dfr4cwJqcSuXTrHR9LJD/ddlNo7969adeuHb///jtLlizht99+o0OHDvTv35+lS5dStWrVXCdbOpx0gUVXd5sfh5MKzyQmKfEZyY2DR/YPW0dPV/NrN5Z3sHBTcPRwyVHeo5IvXRe+w8k/trNjwsJsr106eJrESxldo2JPR7Bx+HT8GlfHs/LNuzbKdfW7NOPtQ9PNDxtbGxw9ctaNk4cLyRbqEiA5PhHnG+re2dPV/Fpy5ripvYs2ceHAKYzpRo6s2sXpbYcJane9m/iprYdIS04lPTWdExv3s+2HlTTo1jy/TrXE6NKzE/+c+dv8sLG1wd0jZ1Lq7ulOfFzOJBZg5AdD2Lh2Czv+3nNb7xkZfomfZi1ixk+f41229B3FL1JctOrail+P/mp+2Nra4urumqOcm4cbCfG5T2AH4OjkyHsz3sPewZ73n3w/W0+WhPgEtq/dzt7NezGmG/ln+z9sXLKRZh2b5fs5lTRNuzRn6qE55oeNrU2OzzsAZw9XEnP5jLwdF46HceV8Rqvs1YgrzB72FaX8SlOlcY3/fEzJKS0u4zqz88xeh/aerqRZaETJq4CB7bg4fyPGItDde2dyOF/F7TM/duzYUdAh5QvNBmzZbbesLliwgDlz5uDg4ACAq6srL7zwAgMGDKB79+688sorDBgwwOK+tZ3KUdupXP5EnM9S4hKJPRuJT4MqRGS2ktkYbClTuyLHFm3JUf7yoTPYOTlQJqgCUZmzr5UJqoDB0Z7Lh653rSkTVIFH5g7nnzlr2T11yS3jMBkzRlXb2BTN/0gF4cDSrRzI8gugZ4A39o4O+AZVICKzbnyDKmDnaE/4DV2w/xV++Az1uzTD1mBr/gJVrn4VrpyJMCe4UafD8zzq3WQ0qS7/g6ULl7N04XLz84Dy/jg6ORJUuzpHD2fMph1UuzqOjg4cPnjM4jEeDm6Gh6c7j/boCICzsxN29nbsPr6R7u2f4ExozlkT7eztcHZxxj/Aj8uXruR4XaSk2bBkAxuWXB/K4BPgg4OTA5WCKnH66GkAKgVVwt7RnlOHch/f5ubpZm4pHf2/0TnGPYYcDAFNKmIVO5ZuYcfS699jSmd+RgYEVeT80YzhMgFBFbF3tCfs8Ol8e1+TKeOhz8D8lR6XSOLZSDwaViM2c3UJG4MtbnUr3fGESKWa1ca1RgAHBozLj1CtromjH00crzfu2Da1PGZXiofbbllNSkoiPj57S0ZCQgLJyRmzj7m7u5Oenp6/0d0l/8xeR8NnO1G6ZnkMTvY0HdIDY1o6p1buylE2/nwUZ9bto9mofjh5ueHk5UazUf0IXbPHPF7Vr3F1uvzyNnu//t1iompwtKdKpybmFlr38t60HPcUkQdOcTXU8hg8ubWY85c5vn4v7Uc+jouXGy5ebrQf+ThH1+y2OF4V4PDKnZiMRlq93gM7R3t8apTnwac7sWP29aUVts9aTcOeD+FXOxAbGxtqtrmHwPuCOJI5ZtW/TiX861bCYG/A1mBL1Rb1uH9wBw789rfF95Tbd/7cRdav3sTI0UPwKl0Kr9KlGDl6CGtXbMx1vGq39k/QvnkPOrfsReeWvZg3cyGHDx6jc8tenDt7Aa/SpejR91E8S3kA4F/OlzETRnL+3EWOHQmxeEyxvvT0dJKTU0hNzUhmUlJTSU5OwWg03mJPuRsiz0eyY90Onh71NB5eHnh4efD0qKfZtmZbruNVvcp6Mf6X8Vy6eIkxT4+xOEHPbzN/476291H/gfrY2NhQq3EtHn70YTb/fmfj7ySnK+cvc3D9HnqOHICrlzuuXu70HDmA/Wt23XS8qp2DHXaO9tja2GBjsMXO0R6D/fW2jsadH8DVyx0Ad29PnvjkOWIvX+Xkbss/KMp/d/6HVVR8/v9wDaqArZM9lYf1wpSazqXlllsWbewM2DraY2NnCzZg62iPraN9jnIBg9pzZcN+ks5onHFBMppsrP64GZPJxA8//EDPnj3p2LEjr776KqGhoRbLRkdH8/HHH9O3b186duxInz59mDZtGikpKRbL3wmbDRs23NZvmp988glnz55l0KBB+Pr6EhERwezZswkICGDEiBHs37+fzz77jOnTp+fY9/AT3+d74PmtyZAe1OnXCnt3Zy4dCGXTOzO5cvQcbuXK0Hf9OP4YMIGLOzJuvI6lXDPWWW3dEIAz6/ZmW2e1y88jKXd/EGmJ2Sts9xe/seeL37BzcuCRecMpXSMAg4MdSVfiObvxADs+XWTuGlwYhRsK/8/fzp6udB49iBqtGgJwbP3ebOus1u/SjP/76CnG1nnKvI9vUAUeGT0I/3qVSY5PZNe8dTnWWW3xwqM07d8GJw8Xok6Hs3HqYo6u2Q1AzeBGtBvRFw//MhjT04k5f5kdc9exa17hG686J+6fgg4hzzxLefDBuBG0apexFtz6VZuyrbPapWcnxk4aRd3AByzu/+qw53jw4fvN66yW8vLk8+njqVMvCEdHR2JiYtmxdTdTxn3N6VNnLR6jsDl+bHFBh5Dvlixbwzsf5Vxiasbn42h6T30LexRtjzZ6saBDyDO3UpnrrLbOaMXYsW5HtnVWW3VtxcufvEz3oO4A9HutH08MeYKkhKRsS339s+Mf3h1wfb3Hdr3b0ful3pT2KU3kuUh+nfYrq+ZbntSxMKlosDxuvjBz8XSj7+inqNfqHgAOrN+dbZ3Vpl2a8/hHz/JqnSfM+4zd8iXe5bOv/nBs2yE+7fM+AC9MG06Ve2rg6OLItZhrnNhxmN8m/cylM0Xjx/feiUWrBbjysF6Ue6INdm7OxO0/ybER07l2JAzHgDLct3ky+/t+RMz2owDUmvoC/n1a5jjGet9e5n87lPWk2Z6vOfjUJKJW775bp5GvbH9+oaBDyBfO/T6z+nsk/vhKrq/Nnz+fX3/9lU8++YSAgABmz57N6tWrmT17Ns7O2YfZXbhwgfXr19OqVSv8/f25ePEi7777Lo0aNeKll17K15hvO1lNTEzks88+Y926daSlpWFnZ0ebNm14+eWXcXZ2JjIyktTUVAICAnLsWxSSVbm1opCsys0VxWRVciqOyWpJUxSTVcmuKCarklNRS1Ylp+KSrDrdhWQ16SbJat++fenRowc9e/YEMno89ejRgxdeeIF27drlut+/Fi5cyIoVKyw2XN6J2+4G7OzszPDhw1m5ciWLFi1i8eLFVK9enRdeyPgP4uPjYzFRFRERERERkcIpPj6e8PBwatWqZd5mMBioXr06J06cuK1j7Nq1i+rVq+d7bLc9wdK/Tp8+zdKlS1m7di0AnTp1yvegRERERERESgprrLO6PTmC7ckR5uf37NhBUwsTUiUkZAwFcHPL3mPEzc3N/NrNzJ49mxMnTvDNN9/cYcQ53VaympaWxsaNG1m6dCmHDx+mXLlyGI1Gvv/+e7WmioiIiIiIFDL3Ofpyn6Ov+XlKLjMnu7hkLIl042S68fHxeHt73/Q9ZsyYwcqVK5k8eTJly5a9w4hzumWyOm3aNFasWEF8fDwtWrRg8ODBNGzYkJ49e5pPTERERERERP6bglwH1c3NDT8/P44ePUqdOnWAjDGrISEhtG3b1uI+JpOJqVOnsnPnTj777DP8/PwslrtTt0xWf/rpJzw9PRk7dixNmjSxShAiIiIiIiJSMLp06cKCBQu45557KFeuHHPmzMHOzo4WLVrkKJuens7HH39MSEgIn332GWXKlLFaXLdMVocOHcpvv/3GW2+9RdWqVfm///s/2rRpo8WeRURERERE8kFBryreu3dvEhISGDJkCAkJCdSsWZNx48bh7OxMREQEgwYNYty4cdSvX5+DBw+ybt067O3t6d+/f7bjrFixIl/juu2la44ePcrSpUvZuHEjNjY2pKWlMWHCBBo0aHDLfbV0TfGgpWuKPi1dUzxo6ZqiT0vXFH1auqZ40NI1RV9xWbrG0OcLq79H+vz8XQP1brjtpWuCgoIYPnw4v/zyC4MGDcLPz4833niDYcOGWTM+ERERERGRYs2EjdUfRVGel65xc3OjV69e9OrVi507d/L7779bIy4REREREREpwfKcrGbVpEkTTbokIiIiIiJyB4wabWfRbXcDFhEREREREblb7qhlVURERERERO6M8S6MKS2KrZRFMWYREREREREp5tSyKiIiIiIiUoCK6my91qaWVRERERERESl01LIqIiIiIiJSgIx34T0Md+E98ptaVkVERERERKTQUcuqiIiIiIhIAdKYVcvUsioiIiIiIiKFjlpWRURERERECtDdGLNaFKllVURERERERAodtayKiIiIiIgUILWsWqaWVRERERERESl01LIqIiIiIiJSgDQbsGVqWRUREREREZFCRy2rIiIiIiIiBciohlWL1LIqIiIiIiIihY5aVkVERERERAqQUWNWLVLLqoiIiIiIiBQ6alkVEREREREpQKaCDqCQUsuqiIiIiIiIFDp3pWU10la/FRQHjqrGIu89p3oFHYLkg0cbvVjQIcgd+m3vlwUdgtyhKz0HF3QIkg/+OeJb0CGIAGAs6AAKKbWsioiIiIiISKGjMasiIiIiIiIFyGij2YAtUcuqiIiIiIiIFDpqWRURERERESlAmhrGMrWsioiIiIiISKGjllUREREREZECpNmALVPLqoiIiIiIiBQ6alkVEREREREpQEZNBmyRWlZFRERERESk0FHLqoiIiIiISAEyoqZVS9SyKiIiIiIiIoWOWlZFREREREQKkNZZtUwtqyIiIiIiIlLoqGVVRERERESkAGk2YMvUsioiIiIiIiKFjlpWRURERERECpCxoAMopNSyKiIiIiIiIoWOWlZFREREREQKkGYDtkwtqyIiIiIiIlLoqGVVRERERESkAGk2YMvUsioiIiIiIiKFTp5aVtPT05k/fz4rVqwgMjKSsmXL0rFjR/r27YvBYLBWjCIiIiIiIsWWZgO2LE/J6rRp09i8eTO9e/fGz8+P8PBwfv75Z+Lj43nuueesFaOIiIiIiIiUMHlKVteuXcvkyZOpUKGCeVvDhg15/fXXlayKiIiIiIj8B2pZtSxPY1aNRiP+/v7Ztvn7+2M06s8rIiIiIiIi+SdPyWrHjh2ZO3cuJlPGSkAmk4kff/yRzp07WyU4ERERERGR4s5kY/1HUZSnbsAHDx7kyJEj/P777/j4+BAZGUlcXBy1atXi1VdfNZebOnVqvgcqIiIiIiIiJUeektXGjRvTuHFja8UiIiIiIiJS4mhQpWV5SlYHDhxorThEREREREREzPKUrGa1f/9+Tpw4Qb169ahZs2Z+xiQiIiIiIlJiqGXVsttKVidOnEjNmjX5v//7PwBWrFjBhAkTcHd359q1a4wePZpmzZpZNVARERERERHJfyaTiZkzZ7Js2TKuXbtGjRo1eO2116hcubLF8nFxcUydOpVt27YBcP/99/Paa6/h5uaWr3HdVrK6b98++vXrZ34+e/ZsnnnmGfr06cPixYv5+eefi3yy6uThQqcxg6jRuhGYTBzfsI/lo2aSFJuQ6z6+QRXoNHoQ/vUqkRyXyO4f17Nxyq/m11u+1p2HXulGWlKKeduxtXtY9MqX5ufvn5lHalIKpvTrv6d83+19Io+F5fMZlgxOHi60HzOIapn1GLJhHytHzST5JvXoE1SB9qMH4ZdZj3t/XM/mLPXY4tXu1OvRHGcvd4xp6Vw8GMqGT+YTcfiMuczbFupxZrf3uaR6zLOGQ7pTo18r7D2ciTpwmm0jZ3L12DmLZR08Xbjvw4FUaJNR32Hr9rH97VmkZKlvF//SNB7Zm4BW9THY2xF/PopNL35J9JGMumk0rCflgxtSqkZ5Lu87yYpuY+7KeZY0bp5uvDDmBZoGN8VkMrFz/U6+fOdLrsVes1i+ZsOa9H2lL9UbVMfJ2YmI8xEsnraYNQvWZCtXoVoFBo8cTL376gFw8cxF3h34LtGXoq1+TpLT8rUbmb/oD46FnOJaQiL7/vwDOztDQYclmVwHDcL5kUewdXUl9fhxYqdMIT001GLZUmPHYlejBjYuLpiSkkjZsYO4r7/GFBsLgPsbb+DUtm22fWydnUlYuJC4L76w+rmUVJWHPkZA/9bYebgQuz+UY29N59pRy981qrzVG+82jXCtWYHYvSHsfvS9HGUc/UtTbdTjlGnVABsHO5LOXebQ858Rf/istU9FbmAq4Pf/+eefWbFiBePHjycgIIDZs2czbNgwZs+ejbOzc47yY8eOJTU1lXnz5gEwevRoPv74Y8aOHZuvcd1Wsnr16lXz+qrh4eFcunTJ3MrauXNnZs2ala9BFYTuU1/AzsGezx56HYCeX7xM10nPMf/pTy2Wd3B1ov+c4ez7ZTNznviE0pX86D9rGElxCWybvtJc7tyeE8zoOfqm7/3T4Imc+utQ/p1MCdZl6gsYHOz5KrMeu33xMo9Oeo5fblKPfecMZ/8vm/npiU/wquRHn1nDSI5LYEdmPR76/W92/rCSpNgEbO0NNBnUnj6zh/NZ0xcxGa/fWhYMnshp1eMdqfNcZ6r3eZjVj48j7nQEDV7rRtt5w1j80FDSEpJzlG/x+QsYHOxY1OwNAB7++iWaT3mW9YMnA+BQypVOi0dxevlOFrcYSnJ0PO6VfUmNTTQfI+50JHsnLiLg4XqUrhN4d060BBo6dSj2DvYMbj4YgLe+fIshk4cw+inL90cPLw+2rNjC5KGTiYmKof4D9Xlv+nvEx8Tz96q/AfAP9GfS4knM/3w+E16ZQOK1RAJrBpJ4LdHiMcX6PN3d6dP9EZKSk3n34ykFHY5k4dK7N86dOnF16FDSzp/HbeBAvMaPJ2rAAEyJOa+Z+BkzSAsLg5QUbNzc8HjjDTyGDCHmvYyEJ+7TT4n79Ppnq12VKpSZMYPENWtyHEvyR8UX/o9yfVuyt89HJIaGU3lITxrOH8m2Zq+RbuEzMvF0BKfGL6B0ywa4162U43W7Uq40/u0DIpftYGuz10iLjse5sh9pcbn/wC/F19KlS+nVqxdVqlQBYPDgwSxbtozNmzfTrl27bGXDw8PZvn0706ZNw9PTE4Dnn3+ep59+moiICHx9ffMtrttaZ9VgMJCeng7AsWPHKF++PK6urgDY29uTmpqabwEVBM8Ab2q0bsSqD+eREB1PQnQ8qz6cR1C7xniWK2Nxn1odmmBra8uGSb+QlpxK5LEw/vr2D5oObGexvFifR4A31Vo3Yu2H80iMjicxOp61H86jRrvGeORSjzU7NMHG1pY/M+vx0rEwtn37B/dmqccrpy6aW9htbGwwphtxK+uJc6n87eYgEDQwmH++Wc7Vo+dIT0pl74SFGBzsqNjx3hxlXQPKUCG4ITtH/0hydDzJ0fHsHP0jFds3xjWzvus83ZGkK3HsyiwDEBcaQVJUrPk4IQs2cW7NXpKvxN+dkyyBfAJ8aBrclGljphEbHUtsdCzTxkzjgXYPULZcWYv77Nywk7W/rCUmKgaAA38fYN/WfdR/oL65zOOvP87+rfv59btfSYhPwGQycfroaZISku7KeUlOD97XmE5tW1K+nH9BhyI3cOnalWs//0xaaCikpBA/YwY29vY4Nm9usXzayZOQcr1nmMloxK5ixVyP79y1K6mHD5N27Fi+xy4Zyj/ZjrNf/8G1I2EYk1I59cnP2NrbUbZTU4vlL87fyOXVe0i9Emfx9YrPdib1Shwh788hLfMzMjE0nNTLsRbLi3UZbaz/yE18fDzh4eHUqlXLvM1gMFC9enVOnDiRo3xISAj29vZUq1bNvK1atWrY29sTEhKSr3+X22pZrVq1KqtXr6ZTp05s3LiRBg0amF+LiIjA3d09X4O62/xqB5KWlELEketdHiKOnCUtORW/2oHEXIiyuM/FQ2cwZun2eeHAKUoH+uLo5kxyfMavlH51Ahm652tSE1MI232cdRMWcDXsUrZjdZ/yArb2BmLOX2bnnHXsmb/BSmdavP1bj5FZ6jEysx59awcSa6EefWsHEn7oTLbuuxcOnMIr0BcHN2dSMuuxWuuGdJnyAk6erpiMRrZ/v5yEG27+XTLrMfb8ZXbPWcc+1WOe2Ls7417Rh8v7Tpq3mdKNRP1zhjJ1K3Fq0V/ZypeuE0h6UgrRWboqRR8+S3pyKqXrBHLtQhTlHqpL3NlLtPr+NfzuDyLpShwnf/2Lg58tzdYqLtZVpU4VUpJSCD1yvbth6JFQUpNTqVKnCpcuXLrJ3hlc3FwIahhkblUFaNSiEX+v+puPf/qYqnWrEhURxR+z/mDZnGVWOQ+RosrG1RWDvz9pR45c35ieTuqJE9hVrw65tIa6Pf00zt26YZvZFTjm448tH9/FBac2bYibOtUa4QtgcHfGuaIPMXuvJwKmdCNx/4TiXq8S4Qs35/mYpR+uT+KZSOr9MASvB2qTEhVL+MLNnJ66GPQZWaIkJGQ0ytw43tTNzc382o3lLY1Nza38nbitZHXAgAG89dZbfP311xiNRr7++mvza1u2bCEoKChfg7rbHN2cSYrL2QUmKTYBR/ecfbQBHN2dc4xnTYy5Zj5ecnwih5fvYO8vm4g5fxl3Xy/ajuzLgHkj+KbDCFIyu2vM6vcRYbuOYzIaqdK8Lt2nvoitnS275q7L57Ms/hz+Yz3eOJ41KUs9/pushqzfx6T6z+Dk6Ur9ni2IvXgl2z7z+n3EuV3HMRqNVG5ely6Z9bhH9Xjb7DPrKCUme32kxFzD3i1n/dm7O5Niob5TYhPMx3L0cse7YRU2v/otG5/7nFI1AmgzawjGlDT++eoPK5yFWOLi5sK1uJxjU+Nj43Fxc7nl/nb2drz11VuEnQxj/a/rzds9S3sS3DOY0U+NZv/W/dS+tzYfzPyAuKtxbPp9U76eg0hRZuOScZ0Z47P3IDHFxWGb2VPOkvhp04ifNg1DQABOHTqQfs7y/AFO7dtDaipJG/QjrbXYuWfUYdoNn5FpMdcwuN/6PmqJfWl3PBpV5fBLX/LP01NwrVGeBnOHYUpN48wXv91xzJI31pgN+GjiBY4lXTQ/T95Rn6ZNc7bEu2TeI+JvuEfEx8fj7e1tsfyNZf8t/++x8sttdQNu2LAhM2fOZOjQocyYMYOKWbqB1KxZk0GDBt10/5DEC6yK3m1+hCReuKOg71S9rs0YeXi6+WFja4OThWTGycOFZAtfhgGS4xJx8sheGc6eGTf8f1tVI4+fI+b8ZQDiIqJZOvQ7PHy9qNC4hnmf0L8OkZacSnpqOic27Gf7jJU06G65S45kV6drM4Yenm5+/Nd6dLyhHp1uqMeskmKusWPGKjqPexqfWtevg9OZ9WhMTefkhv3snLGSeqrHPEnNrCMHz+z14eDpSqqFukiNS8TBQn07eLiYj5Uan8jlfac49etfmNLSiT58lqOz1hJooVux5J9WXVvx69FfzQ9bW1tc3XN+IXbzcCMh/ua/wDo6OfLejPewd7Dn/Sffz9abJSE+ge1rt7N3816M6Ub+2f4PG5dspFnHoj3hn0h+M2W2dNje0BJi4+6O8ZrlSc6ySj9/nuS//qLUhAlgyDlhlsujj5K4YkW2bsOSv/4dR2p3w2eknacr6f9xjGlaXCKx+04SvmgLprR04g+f4dzMNZTtbLlbcWGxMzmcr+P2mR87duwo6JAKrSDncnTxamx+WEpUIaNF1M/Pj6NHj5q3paenExISQvXq1XOUr1atGqmpqZw8eb033MmTJ0lNTc3WNTg/3PY6q35+fvj5+eXYXq9evVvuW825HNWcy+UtMis6uGQrB5dsNT/3DPDGzskB36AKRGTOqOYbVAE7R3vCs8z4mlX44TPU79oMW4Ot+ctTuXpVuHImwmKSA4DJlDHT1036jJuMJrC5SQExO7RkK4ey1KNHZj36BFUgMrMefTLrMSKXeow4fIa6XZthY7A1dwX2r1eF6DMR5lbVG9nY2mCwN1C6sl+2LsdZqR7zLjUukbizkXg3qMKl3RndnGwMtpSuU5GTi7bkKH/l0BkMTg541apgntnXq1YFDI72XDmUUd9RB0/jFVT+7p2EALBhyQY2LLnewuIT4IODkwOVgipx+uhpACoFVcLe0Z5Th07lehw3TzdzS+no/40mNTn7/AghB0MKfvpEkSLAdO0a6RcvYhcUROrhwxkbDQbsq1UjafXq2zqGjZ0dhtKlsXFzwxQTY95u37AhhsBAEkeOtEbokik9LpHEs5F4NKxK7K6MMYQ2Blvc61Yi/Je8dwEGiDsYiltQhfwM8674//buOzyKqu3j+Hezm94gCQRCL9Kb4AOIKB0UEBGkVwuCviqKFKWoiKCAUkQfVEDpgqJSpEhH9AEp0jshdEJCgPS62fePwELIBhJIsgn5fbz2utjZMzNncpzZvec+Z85/nIvwH+dbMYkxnQAsr7H3PKvPPfccP/30E7Vr1yYgIIB58+ZhMpl48skn05QtUqQI9erV45tvvmHkyJEAfPPNNzRo0CBLH64EGcys3mQ2m1mwYAE9e/akZcuW9OjRg/nz51sfvpRXhV+4wvGNe2g5ogduBT1wK+hByxE9OLZut83xqgBH1uwkOTmZxoM6YnJ2pHCF4jR4tTU7594a91G1TT3cCqbcxXT386Ld+H5Eh4ZzbnfKRaZotdIUrVYao6MRB6MD5Z6sTv2Xn+bgsm029yl3F3HhCic37qHZiB64FvTAtaAHzUb04Pi63TbHqwIcW7MTS3IyjW60Y6EKxan/amt23daO/3mxFe5+XgC4+XjyzCcvYk5I4vyu4wAUqVaaItVK4+BoxGB0oMyT1an78tMcUjtm2tE5G6g6oDUFKhbH6OJIrcEdSU40c3b1rjRloy+EcW7DXh4b1R3ngh44F/TgsVHdObv2X6JvtPexuevxqVaaMu3qY3AwUKBCMSr2asbp3/+xbsdgMmJ0dsRgcgCDAaOzI0Znxxw75vwg5EIIOzbsoN+ofngV9MKroBf9RvVj+7rt6Y5XLVioIBN+nkDopVDG9BuTJlAFWD57OfVa1KPG4zUwGAxUrlOZRu0asXXF/f1wkwdnNpuJj0+wPngxITGR+PgEkpPt/TNMYpYuxb1LF4xlyoCTE+59+2JJSiL+r7Q3A43Fi+P85JPW7sPGEiXwGDCAxCNHUgWqAG7PPUfCzp2YL11Ksx3JWud/WEup157FvVIJHFwcKTO0E8mJZkJX2c4sGkxGHJwdMZiMYDDg4OyIw23fbxdmr8Wzehn82zcABwPuFYtTrHdzQpZtz6lDklykS5cutGrVinfffZfnnnuOAwcOMH78eFxdXbl8+TLPPPMM+/fvt5YfPnw4Xl5e9OjRgx49euDt7c3777+f5fUybNq0KcP3pb/55hu2bt1Kly5dKFKkCMHBwSxevJgnn3ySAQMGpLve5j4zsqSy2cnV253WY/rySJNaABzfuCfVPKvV2zfg2XEvM67Ky9Z1/CuVoPWYvgRUL0N8ZCy7FmxINc9qt5mDKF77EZzcnIkNj+bMP0fZ9MUSrp65DECFZo/SYng3vIv6kpxk5vqFK+yav4FdC3LnOMe88PPdxds9ZZ7VG+14cuOeVPOsVm3fgNbjXmbibe1YuFIJWo3pS9Eb7fjvgg2p5lnt/P1gitYoi5O7MwlRsVzcd4q/pv7GpQMpD4t5pNmjNB3eDa8b7Rh+4Qr/zt/Av7mwHYsl5f5sb63BHanYowmOnq5c2RfE9hGzuX70PO4BvrTfPJ51PScSsiPlaZNOBdyp/0kfijerBcC59XvSzLNavMWj1BnWGY9ShYgNCefEws0c+O/vYEm59DWc/CrlOz+Vph6zi/XM/oO9T4sdbN98yc08CtyYZ7Vpyh3wHRt2pJpntUn7Jrz52Zt0qNQBgO5vd6fXu72Ii4nDYrn1NXVwx0E+6P2B9X3LLi3p8kYXfAr7EHI+hF9n/Mofi/7IwSO7P8v3fH3vQnnQ0pXrGDku7VRh308bT93aNWyskXddfeEle1ch09xffBHXZ5/Fwc2NxGPHiJwyhaSgIBwKF8Z3zhyuDx1K4oEDGEuUwGvoUExlyoDRiCU8nPgdO4iePZvkq7ee2eDg44Pf4sVc/+ADErblzRu0B49kbRYou5Ud2omAXs0xebgSse8Ux96fRfSRczgX86X+1kns6/Yp1/9J6cpZeeprBHRtnGYbG/y7WP/t17I25YZ3w7VUYeJDrnNx/saU8aqWvNNtxbj4NXtXIUvs6j0z2/fx2NxXsn0fWS1TweoLL7zA5MmTKVHiVpeBs2fP8s477/DLL7+ku15eCFbl3vJCsCp3lxeCVbm3vBisSmoPa7Can+TFYFXSymvBqqSlYDXj8mKwmuExqwDJyckULZp67rSiRYuqe4+IiIiIiMh9uts8qPlZpsasPvPMM8yfP9/aJctisbBw4ULatGmTLZUTERERERGR/OmemdW33noLw42nmlosFo4cOcKKFSsoXLgwISEhREREUKVKlWyvqIiIiIiIyMNI/VRtu2ewWqdOnbu+FxEREREREclq9wxW+/TpkxP1EBERERERyZfyzvOXc9Y9g1WLxWLtBny3Byk5OGRq+KuIiIiIiIhIuu4ZrLZt25aVK1cC0Lx5c2vgetPNYHbDhtw3p6SIiIiIiEhul6zcqk33DFY/++wz678nTUo70beIiIiIiIhIVrtnsFq9enWuXr2KwWCgVq1aACQlJbFgwQJOnDhBzZo16dSpU3bXU0RERERE5KGkpwHblqGBphMnTmTnzp3W9zNnzuTnn3/GaDQyf/58Fi9enG0VFBERERERkfwnQ8HqyZMnqVu3LpAyRnX16tW8//77jB49mg8++IC1a9dmayVFREREREQeVpYceOVFGQpWY2JiKFCgAABBQUHEx8dTr149AB599FFCQ0OzrYIiIiIiIiKS/9xzzCqAm5sbUVFReHh4cPz4ccqWLYvJlLKq2Wy+65Q2IiIiIiIikj5FU7ZlKLNao0YNZsyYwcmTJ1m2bJm1SzDAuXPn8PX1zbYKioiIiIiISP6ToWC1X79+7Nu3j1dffZXExEQ6duxo/WzDhg1Ur1492yooIiIiIiLyMEs2ZP8rL8pQN+AiRYowe/ZsIiIi8PLySvVZt27drF2CRURERERERLJCpqLMOwNVAA8PjyyrjIiIiIiISH6TnGef15u9MtQNWERERERERCQnqf+uiIiIiIiIHSmvapsyqyIiIiIiIpLrKLMqIiIiIiJiR5pn1TZlVkVERERERCTXUWZVRERERETEjvQ0YNuUWRUREREREZFcR5lVERERERERO1Je1TZlVkVERERERCTXUWZVRERERETEjvQ0YNuUWRUREREREZFcR5lVERERERERO9LTgG1TZlVERERERERyHWVWRURERERE7Eh5VdtyJFj1TTbkxG4km/mZdRrldWFGe9dAskJJo4e9qyAP6OoLL9m7CvKAfJZ8b+8qSBbwrjXI3lWQBxRl7wpItlJmVURERERExI70NGDbNGZVREREREREch1lVkVEREREROzIolGrNimzKiIiIiIiIrmOMqsiIiIiIiJ2pDGrtimzKiIiIiIiIrmOMqsiIiIiIiJ2lKwxqzYpsyoiIiIiIiK5jjKrIiIiIiIidqS8qm3KrIqIiIiIiEiuo8yqiIiIiIiIHWnMqm3KrIqIiIiIiEiuo8yqiIiIiIiIHWmeVduUWRUREREREZFcR5lVERERERERO7JozKpNyqyKiIiIiIhIrqPMqoiIiIiIiB1pzKptyqyKiIiIiIhIrqPMqoiIiIiIiB1pzKptyqyKiIiIiIhIrqPMqoiIiIiIiB1pzKptyqyKiIiIiIhIrpOpzGpsbCw//fQTR44cITY2NtVnU6dOzdKKiYiIiIiI5AfJFo1ZtSVTwer48eMJDAzkiSeewNXVNbvqJCIiIiIiIrnMli1bmDVrFpcvX6ZIkSK8/PLLPPXUU+mW/+6779i+fTuXL1/GxcWFWrVq0b9/fwoXLpyh/WUqWN29ezdz5szBx8cnM6uJiIiIiIhIOvJCXvXw4cOMHTuWESNG8MQTT/D3338zduxY/P39qVixos11DAYDw4YNo2zZssTHxzN58mSGDx/OzJkzM7TPTI1Z9fDwwNPTMzOriIiIiIiISB63YsUK6tWrR6NGjTCZTDRq1Ii6deuybNmydNfp168fFStWxNHREQ8PD7p160ZgYCCRkZEZ2memgtXu3bszY8YMkpP1vCoREREREZGskIwl218P6uTJk1SqVCnVsooVK3Ly5MkMb2Pnzp34+/tnOAF6z27AnTt3xmAwWN+HhYWxfPlyvL29U5VbvHhxhispIiIiIiIi9vfZZ5/xxx9/pPt5zZo1mTJlCjExMXh4eKT6zNPTk+jo6AztZ/fu3cydO5fRo0dnuG73DFZfeumlDG9MREREREREMseSDaNWL8WGEBwXYn2/Y8cO6tatm6bcwIEDee2119LdjtFoBMDNzY2oqKhUn0VGRuLu7n7Pumzbto2xY8cyfPhwm3VIzz2D1aeffjrDGxMRERERERH7K+pamKKut566m16Q6OrqmqGZXsqXL8+xY8dSLTt+/Djly5e/63rr1q1j6tSpfPDBB5kKVCGTY1bXrl2bpk/yiRMnWLduXaZ2KiIiIiIiIimSc+D1oJ599lm2b9/O1q1bSUpKYuvWrfzzzz+0a9cu3XV+++03vvzyS8aNG5fpQBUyOXXNnDlzmDZtWqplvr6+fPTRR7Ro0SLTO7eneoM6UKV7E5w9XQk5cJrNI2Zz9dh5m2Wdvd1oNKYPpZs9ChYLpzfuZfPIOSRExFjLlGv9Hx4f0gnP4n5EnAtl+4SfCVyzy/p54ZpleWJ4V/yqlMKSnMzFHcfY+tE8Ii+EAWB0dqTeOx14pF19XHw8uXrsPFtHzyf434wPWM7vqg3uSLnuTXDycuXq/tPsev8HwtNpU0dvNx4b25eA5iltenHDXnYNn03ijTY1OBioPuQFSndsiFMBd2IvX+Pot6sJnL8RAM+yRagxtBN+j1XA0cuV2MvXCVy4iaPTV+bY8T6s6g7qQNXuTXC6cW5uuce5+dQd5+aW285N38olafB+F/yqlsK9cAGWdvuU838dSrWNwjXL0uCOc/Ov285NyRpuXu50/fhlajStgwULBzb+y48fzCT2tuvo7RydnXhx0hsUr1KaQqX8WfP1byz7YlGqMm3f7kSbN18gIS7Bumz/hl3Memtqth5LfuXety+ubdvi4O5O4vHjREyZgjkoyGbZAmPHYqpQAYObG5a4OBJ27CBy+nQsEREAeA4ahMsdvxscXF2JWbKEyK++yvZjkfStWr+ZRb/8zrGTp4iOiWXvlt8xmYz2rpbcEPBuV/y6tcTo5UbM/kDOjPiWuGNn05Qz+XpTfGQfPOtVxeTrRdLVSK4u+5OLkxZhSUgCwLtpHfz7tcO1SmkMJhPxQRe4OOVnwtfvzOnDkjyiSpUqDB8+nBkzZjBmzBiKFCnC8OHDUz10qW/fvjRv3pyePXsC8OWXX2I0Ghk2bFiqbY0fP54aNWrcc5+ZClavX7+eZo5VHx8frl27lpnN2N2j/dtQuUsjlvccz/XTl6k78Hmemz+U+Y2GkBgTn6Z8y6mvY3QyMbfhIACe/voNWkzuz8qXJwPgX6scLae+xtq3phO07l/KtKhNy2mv80vHMYTsDwKDgWdnv8vxZdtZ1msCRkcTzSb2o9VX/8eS5z8GoMH7XQmoW5FfXviEmJDr1HypJc8tGMb8JkOJDs5bf197qPRaG8p2bcTm7uOJOh1MtXc60HjhMFY+OZgkG236+LTXMTo7sqLBOwA8Mf1N6k8dwNYXJwFQvm8LyvVsysZO4wg/eo5C9SvReMEwos+FErzlAE7e7oTsOMa/oxcQe+kqBauV4qk5g7Ekmjk2c02OHvvDxNa52W7+UBakc262uHFuzrtxbrb6+g2aT+7PqhvnZnJiEoGrd/LP50vovHJM2h0aDLSd/S4nlm1n+Y1zs+nEfrT86v/45ca5KVnjpSlvYXIyMaLRGwD0m/Y2fb94g+n9Jtgsb8FC4L/H2Dz/D54f2j3d7Z769zgTO43KljrLLW5duuDaujXXhwwh6cIFPPr0oeCECYT17o0lNjZN+ajvvyfp3DlISMDg4YHXoEF4vfsu4R9+CEDkpElETppkLW8qWxbf778nVj217M7b05OuHdoSFx/PB59OsXd15Db+A9rj16U5J3qOJu70JQLe7kyFBR9y8Kn/IzkmLlVZB3cX4gIvcmnKT8SfvYxzKX/KzXgPBxdnzn00CwCjtzsh89YQ+fd+zJGxFGzzOOW+GcLRDu8Tsz/QHoeYr2XF03pzQuPGjWncuHG6n8+ePTvV+02bNj3Q/jLVDdjX15dz586lWnbu3DkKFiz4QJXIadV7N2PPt6sIO3oec1wi2z9fgtHRRNmnH0tT1rOYL6Wb1eKvMQuJuxZF3LUo/hqzkLIt6+AR4AtAtV7NOLN5P4Grd5KcZCZw9U7ObN5PtV7NAHD2csXNz5sji7eQnJBEYnQcR3/ZSqFqpa37qdCuPv9+8ztRF8NITjKz57vVJETGUrnTkznyN8nrHunTnKPTVxJ+9BzmuET2T/gZBycTxZ/5T5qybsX8KNb8UfaMXkDC1SgSrkaxZ/QCireqg1uxlDb1LO1P6I5jhB9N+f89dPtRwo+fp2C1UgCE7QnkxPdrib10FYBrB89w7vd/KPxElRw64odTVp+b105e5PCPm1NuGtlw89w8fNu5eeyOc1MenE8xP6o3rc2SsXOJvhZJ9LVIloydS60W/6FggJ/NdZLiE9kwayXHtx0iMT4xh2ssd3Jr357oxYtJCgqChASivv8eg6Mjzg0b2iyfFBgICbcy3pbkZEwlS6a7fdf27Uk8fJikO8ZCSc57ol4dWrdoTPGAovauityhcO9nCP52KbFHz2CJS+DCxIUYHE0UeKZ+mrIJZy8T/NUS4s8Eg8VC/OlgrizagGeDatYyV3/7k+urtmEOj4bkZK6t+Ju4wAt41tVvGck9MhWsNmrUiE8//ZQTJ04QGxvLiRMnGD9+/F2j69zGydMV75KFubz31h0jizmZ0ENnbP5A9ataiqS4BK4cudXF4sqRs5jjEylUNSVwKVSlZKrtAYTsO0Whqinbiw+PYf/stVTt3hiTixNOXm5U7vQUgatv62ZhAG6bIujmMv1ovjdHT1c8ShYm7I42vXbwjDW4vF3BaqUwxyVw/fCtNr1+OKVNC95o05PzN+JVtmjK+gYD/g2r4lnKn0sb99msg8HoQOEGVbh28HTWHlw+4uTpilfJwoRk8twMu+3cDLtxbvpVTdvuttg6NyvdeW7KAytRpTSJ8QmcP3LGuuz8kTMkxidSokrpB9t21dJ8vnsW4/76Ly9PHYhv8cL3XkkyxeDujrFoUZKOHLm10Gwm8cQJTI88ku56Hv36UWjVKgr//jsuDRsSdcfdduv23dxwad6cmLtMKi+S3xk93XAu6U/0nhO3FpqTiTkYhFvVMhnahnejWsQctH3zFsApwA+XcgHEHEq/jGQfSw78lxdlqhtwr169CA4Opn///ta5V5s2bUrv3r2zpXLZwckj5UlX8XeMk4oPj7Z+dmf5hMi0XZziI2Ks5Z08XdNsLy48GifPW9s7sXIHTca9SP+jMzEYIPTQWZb3vtX97dQfu6nzWlsu7zlJVPA1ar38NO6FC9isk6TmeOPvnBieug0SwqOtn6Uq7+FKoo02TYyIwfHG3zv6XCiXthyg5epPwGLBkmzh3w/ncf3IuTTrAfxn/Es4OJo4+s2qBz2cfOtu56bjfZ6bGXFy5Q4aj3uRV287N1f0tt01Ve6Pi4ebzbGpsRHRuD7ANe7fVdv538+buHrhCgX8fejwfk/eWTCKMc8MIf6OLnFy/wxubgAk3zFdgSUyEoe7TFcQNWMGUTNmYCxWDJenn8Z83vbYc5dWrSAxkbgH7Com8jBz8Eg5D80RqeezNIdHYfR0u+f6RQd2xrVqGU63HWLzc6OnG+Vmvs+1VduI3HbwwSsskkUyHKyazWYCAwMZOnQob7zxBsHBwRQpUgRvb+97rnsk7iJH4i5Z31d2KUpll4D7q/EDSohK+XHr7JX6xHb2difKxtjQhKjYVEGntbyXm3VbCZGxabbn4u1u/SHtXdqf9gveY+vo+RxatBkHo5E6r7el09IPWdhiOEmx8fz18QLqD+3M84uG4+jmzMlVOzn31yHirkWl2bekdjPwdPRO3QZO3u7WbrqpykfF2g5ivdxIvNGmj43rS4HKJVn55GCiTl+mQOUSPPn9IEi2cHLeBus6BgcDdb/oh0+NsmzsNJakaP1Avl93OzdtjdvOyLl5L96l/Xnuxrl5+Ma5Wfv1tryw9EN+vHFuSubVfa4hPcb1t77/8YOZuHql/THl6uVObAbbypaLx2/dPLp++Spzh/6XKQfmULZOBY5s3X/f25XULDEpNxocPDww37bc4OmJ+cqVe65vvnCB+L//psDEiVzp1AnM5lSfu7VrR+zq1am6DYtIaslRKeeh0Sv1DSKjtwcJwXd/IGDA4O74dW7KsU4jSbyUtqzJx4tH5n9I3KkLBL3zZdZVOptsiwth+21zh9ZMZ+7QvCYrntb7MMpwN2Cj0cigQYMwmUx4e3tTsWLFDAWqAJVdAuhQoI71Za9AFVICy/CzIRSuWda6zGB0wK9KSUJtdOG8cugMJhcnfCuVsC7zrVQCo7MjoYdSurSFHj6L/23bAyhcowyhh1K251e5JElxCRyYu57khCSSYuP599tVeJfyx7dicQASY+LZ+tE85jR4h5m1Xmfr6Pn4VCzOuTueXCppJUbGEnU2BN9a5azLDEYHClYtybWDZ9KUv3bwDEYXJwpUvtWmBSqntOm1G23qU6Msp3/5i6jTlwG4fuQc59fsolirOtZ1HJxMPDFjIN4VirOh4xjiQsOz6xDzhYTIWCKy6Ny8cihtu9ty89w8eNu5ueeOc1Myb8eyvxhYtZf1dXz7IRydnShW6daYxWKVSuLo7Mi5w6ezbL8WS8rLcOeQCnkgluhozJcuYbrtaY8YjTiWL0/SiRPpr3gbg8mE0ccHg4dHquWOtWphLFWKWHUBFrkrc2QM8Wcv417rtvksjQ64VS191267JT95FZ/2T3K0w3DiT11M87ljUT8q/jqOmAOBBL05Gcy5P2R63KUw7xSoZn09DIGqpC9TY1aLFStGWFjen87hwNwN1O7fGp+KxTG6OFLv3Y4kJ5k5ddtUMzdFXgjj9Ia9NBzVHZeCHrgU9KDhqO6cWvcvURdT/hYH52+gVJOalH36MRxMRso+/RilmtTk4I1pTkL2n8LoZKJq9yYYjA4YnR159JWnSYiK5XpQSsbZs7gf7kVSnrTs7l+AZhNfISYknKO//pVDf5W87cSc9VQa0BrvG21afXBHkhPNnLcx9jDmwhUurN9DrQ964OTjgZOPB7U+6MH5tbuJuTFdSeg/Ryn1fAPciqU8/MWrfADFWtXh6o0H9ZjcnGk0bwjOBTzY2HkcCdej0+xHMu/A3A08mslz84nbzs0nRnUn6LZzE1KmhTI6OwLgYDJidHbEYEy59Nk6N2vdcW7Kg7t64QoHNv7LC8N7417QE/eCnrwwvDf71u3i2sX0M3MmJxMmZ0ccDAYMRgdMzo4YHW91CKrT5nHcC3oC4OnnTa/PBhBx5TqBu/WQnqwWs3Qp7l26YCxTBpyccO/bF0tSEvF/pf2OMhYvjvOTT1q7DxtLlMBjwAASjxzBEp76pp7bc8+RsHMn5ks633ILs9lMfHwCiYkpDzZLSEwkPj6B5OTcH8Q87ELmrsa/f3tcKpbE4OJEsXe7YUkyc3319rSFjQ6UmfYOno9X41iH4SScD0lTxLlsAJWWfkr4xt2cGfbflLt9YjcWiyXbX3mRYdOmTRmu+apVq1izZg19+vShSJEiqe5eBwSkny090Gvmg9UyG9R7t+OtuRz3B7Fl5GzCjp7HI8CXHhvHs6L3RC7uSPnB41zAPWWe1aa1ADi9YU+aeVbLt6lL/cEv4Fncj8jzV9g24edUD2kp8VQ16g3qSMFyKX+nsGPn2P75Ei5uPwpAqcY1aDS2L26FvEmMiuPUH7v532eLiA+3PQehPfiZc/f/5NWHdKRcj6Y4erpydV8Qu4bPJvzoOdyK+dJ68wS29JhA6I02dSrgTp2xfQloVguAi+v3pJpn1eTmTM0RXSnWqg5O3u4kXIvi3Mod7Pt0MckJSZTp9CT1pw4gKTYBy21f4DHnr7CqybA0dcstwoy5P+NU945z88/bzs3uN87NS3ecm6VuOzdvn2fVs7gffbZNSbOPHZN+ZcfkX4Fb52aB287Nf247N3OjA8a81z3ZzduDbh+/TPUmtQHYv3F3qnlWb3YdHli1l3WdsX99jd8dD0w6tv0Qk7p+BMDrM4ZRtnYFnN2ciQ6P5sSOwyz/YjGhZ4Jz5qAewMelQ+1dhUxzf/FFXJ99Fgc3NxKPHSNyyhSSgoJwKFwY3zlzuD50KIkHDmAsUQKvoUMxlSkDRiOW8HDid+wgevZskq/eGprh4OOD3+LFXP/gAxK2bbPjkd0fnyXf27sK2WLpynWMHDcpzfLvp42nbu17z4mY1+yrNcjeVciUgMHdKNS9JQ6ebsTsO8nZkd8Re/QMTgF+VN00jRO9xhC14zAe9atSaclYkuMSsNzR9X5PxW4AlP7iTfy6NMMcnXo4RtivWzj7/jc5dkwPKmr+2/auQpaY2vuLbN/HwLnvZvs+slqmgtWmTZveWvFGoGqxWDAYDGzYsCG91XJlsCqZl9uDVbm3vBCsyr3lxWBVUsuLwaqk9rAGq/lNXgtWJa2HJVid3PvzbN/HO3MHZ/s+slqmnga8cOHC7KqHiIiIiIiIiFWmgtUiRYpkVz1ERERERETyJY0Kty1TwSpAeHg4hw8f5vr166kG6rZu3TpLKyYiIiIiIiL5V6aC1T179jBq1CgMBgMxMTG4ubkRGxtL4cKFFayKiIiIiIjcBwt6NowtmZq6ZsaMGXTq1IkVK1bg5ubGihUr6Ny5M506dcqu+omIiIiIiEg+lKlg9dy5c/To0QPA2gW4V69e/PTTT1lfMxERERERkXwgGUu2v/KiTAWrJpPJGqR6eHgQHh6Oo6Mj169fz466iYiIiIiISD6VqTGrZcuWZf/+/dSpU4eqVasydepUXF1dKVmyZHbVT0RERERE5KF2+4Nr5ZYMZ1b37dtHzZo1cXJyAqB///5ERUVx+vRpBg3ShMoiIiIiIiKSdTKUWV21ahWff/45Xl5ezJkzh/fee48WLVowYcKE7K6fiIiIiIjIQ03zrNqWoczqL7/8wvvvv8/SpUsZNmwYv/zyS3bXS0RERERERPKxDAWrly9fpnnz5gA0a9aMy5cvZ2ulRERERERE8gtLDvyXF2UoWLVYLBgMBgCMRiNmszlbKyUiIiIiIiL5W4bGrCYmJvL9999b38fHx6d6D/DSSy9lbc1ERERERETygbw6D2p2y1CwWqVKFQ4cOJDu+5tZVxEREREREZGskKFgdcqUKdlcDRERERERkfxJ86zaluF5VkVERERERERySoYyqyIiIiIiIpI9NGbVNmVWRUREREREJNdRZlVERERERMSO8uo8qNlNmVURERERERHJdZRZFRERERERsaNkPQ3YJmVWRUREREREJNdRZlVERERERMSOlFe1TZlVERERERERyXWUWRUREREREbEjzbNqmzKrIiIiIiIikusosyoiIiIiImJHyqzapsyqiIiIiIiI5DrKrIqIiIiIiNiRRfOs2qTMqoiIiIiIiOQ6OZJZdcyJnUi2q+4Sbu8qyAOqdX6PvasgWWBtwSfsXQV5QAeP+Nu7CvKAvGsNsncVJAvU3DvJ3lWQB/T3wbP2rkKW0JhV25RZFRERERERkVxHY1ZFRERERETsyKLMqk3KrIqIiIiIiEiuo8yqiIiIiIiIHelpwLYpsyoiIiIiIiK5jjKrIiIiIiIidqSnAdumzKqIiIiIiIjkOsqsioiIiIiI2JHGrNqmzKqIiIiIiIjkOsqsioiIiIiI2JHGrNqmzKqIiIiIiIjkOsqsioiIiIiI2JFFmVWblFkVERERERGRXEeZVRERERERETtK1tOAbVJmVURERERERHIdZVZFRERERETsSGNWbVNmVURERERERO5py5Yt9O7dm1atWtGnTx/+/PPPDK87atQomjRpwu7duzO8jjKrIiIiIiIidpQXxqwePnyYsWPHMmLECJ544gn+/vtvxo4di7+/PxUrVrzrun/88QdxcXGZ3qcyqyIiIiIiInJXK1asoF69ejRq1AiTyUSjRo2oW7cuy5Ytu+t6oaGhfP/99wwePDjT+1SwKiIiIiIiYkeWHPjvQZ08eZJKlSqlWlaxYkVOnjyZ/nFZLEyYMIGePXvi7++f6X2qG7CIiIiIiMhDJjohnOiECOv7HTt2ULdu3TTlPvvsM/744490t1OzZk2mTJlCTEwMHh4eqT7z9PQkOjo63XWXLVuGxWLh2WefvY8jULAqIiIiIiJiV9kxZtXV0QtXRy/re1uBKsDAgQN57bXX0t2O0WgEwM3NjaioqFSfRUZG4u7ubnO9CxcuMG/ePL7++uvMVt1KwaqIiIiIiEg+5erqiqur6z3LlS9fnmPHjqVadvz4ccqXL2+z/IEDB4iIiKB///6pln/44Yc0btw4Q2NYFayKiIiIiIjYUV6YZ/XZZ5/l7bffZuvWrTz++ONs27aNf/75h6lTp9os37hxY+rUqZNqWefOnRk0aBCPPfZYhvapYFVERERERETuqkqVKgwfPpwZM2YwZswYihQpwvDhw1M9dKlv3740b96cnj174uLigouLS5rteHt74+XllWa5LQpWRURERERE7CgvzLMKKdnSxo0bp/v57Nmz77r+pk2bMrW/TE9dEx0dzfr16/nxxx8BuHr1KlevXs3sZkRERERERETSlalg9eTJk/Tq1Ys5c+Ywd+5c67L0+imLiIiIiIjI3eWFeVbtIVPB6ldffUXv3r2ZN28eJlNKD+Jq1apx+PDhbKmciIiIiIiI5E+ZClaDgoJo164dAAaDAUiZbyc2NjbrayYiIiIiIpIPWCzJ2f7KizIVrHp4eHDt2rVUyy5fvoyPj0+WVkpERERERETyt0w9Dbhx48Z89tlnDBw4EIDQ0FC+/PJLmjVrli2Vy0mPDepA5e5NcPJ0JfTAabaOmM21Y+dtlnXyduPJMX0o2exRsFg4u3EvW0fOISEiBoDSLWvzn8Ev4FHUFwwQcTaUPV8t49SqndZt/GfIC5RqWouCFYoTsjeQZR3H5Mhx5ieF3+5OwS6tMHq6E3vwJBc/mE788TNpyhl9vSny3ku4162K0ccb87UIwlf8ScjUBVgSkqzlHDzd8R/SG6+Wj+Pg7kpS6DUufTCdqL/25ORh5TsFCnjz5dRPaNO6ORaLhVWrN/DmWyMID49Id52khAvExsZiNt+6i9jwqXYcPHjU+r5+vTqM+XgYjz1WE7PZzJEjJ3iqcXsseeRpfHlJmSGdCOjZDJOXG5H7TnHsvVlEHz1ns2zZ97rg27w27hVLELHnJP+2+yDV5xUn9MP/hSdTLTO5u3BuxipOjJydXYcgpLRjsZ5NMXm5EbEv6J7t6Nf8UWs77m73YZoyzkV9KD+qB75NamJwMhF3/gqHXvuSqMNns/tQ8q2Ad7vi160lRi83YvYHcmbEt8QdS/v3Nvl6U3xkHzzrVcXk60XS1UiuLvuTi5MWWb8XvZvWwb9fO1yrlMZgMhEfdIGLU34mfP3ONNuTnLdq/WYW/fI7x06eIjomlr1bfsdkMtq7WnIXyXl0TGl2y1RmtU+fPvj6+tK7d2+ioqLo2rUrRqORbt26ZVf9ckTN/m2o1KURK3uOZ3bN1wjeeZy284dicnO2Wb7Z1Ndx9fPmx4aD+PHJd3H186bJ5P7Wz0P3B7Gq90R+qN6fH6r153+j59F06mv4Vi5pLRNxJoSdX/zCkYUbs/348iO/fh0o+EILTvf9gCN1uhOz+wilZ3+Mg1vauZ4c3FxICDrP6V4jOVKjM6d7jcSzyWP4D3vRWsbgaKLM/E8weroT+Nw7HKneidM9hhN/yvYNDck6c2dPw79wISpUakDFyk/gX7gQP3w/5Z7rtX/+RQr4VLC+7gxUf18xjznzfiKgeE38i1bn3cEfKVDNBiVff5ai3Zqwt+tYtlZ+mes7j1Fr0QiM6VxfY09f5tSEn7g4b73Nz48NncGfZXtbX7vbjgQg+Oc/s+0YJKUdA7o1Zk/XcfxZ+RXCdx6j1qLh92zHC+m0o6mAO3WWjyY+5Dr/a/A2W8r1ZX/fz4kPuZ6NR5G/+Q9oj1+X5pzoOZq9NXoTtesIFRZ8aPt70d2FuMCLHO/2IXsqded4tw/wbvYYxYf3sZYxersTMm8NB596nb3VexH87TLKfTMEtxrlcvKwJB3enp507dCWYQP737uwSC6W4WDVbDYTGBjIu+++y9KlS/n6669ZuHAhH3/8MU5OTtlZx2xXtXcz9n27iqtHz2OOS2Tn50twcDRR5unH0pT1KOZLqWa12DZmIXHXooi7FsW2MQsp07IOHgG+AEQHXyM6+EZ3aYMBS3LKD2DvMv7W7Rz76U/OrN9D3NWo7D/AfMinZ2uuzPyN+GNnsMQncHnSPAyOJrxaPp6mbOK5y4T+92cSzgaDxULCmUtc+3kd7vVrWMsUeL4JpsI+XBg2haTLYSnrXbpC4sXQHDum/KhkyWK0bt2MIcM+JizsGmFh1xgy7GPaPduKEiUC7nu7n306gh9+WMT8+UuIjY3DbDazY6cy5Nmh2IutODt9BdFHzpEcl0jQZ4sxOJoo1LquzfKXFm0mbO1uEq9GZmj7xfu2IvzfE0TuO5WV1ZY7FH+xJWen/25tx1OfLcbhHu14Ze2/6bZjyf5tSLwaycmP5pF0LeV7MDYomMQr6feYkAdTuPczBH+7lNijZ7DEJXBh4kIMjiYKPFM/TdmEs5cJ/moJ8WdSvhfjTwdzZdEGPBtUs5a5+tufXF+1DXN4NCQnc23F38QFXsCzbpWcPCxJxxP16tC6RWOKBxS1d1UkgywWS7a/8qIMB6tGo5FBgwZhMpnw8vKicuXK+Pv733vFXM7J0xWvkoUJ2RtoXWYxJ3Pl0Bn8qpVOU96vaimS4hIIO3Kr20zYkbOY4xPxrVoq1XZfPPgt/QJ/oP2vHxC6P4gzG/dm56HIDQ6ebjiVKELMvuO3FpqTiTsciEvVjN3x9XiyNnGHbv0/4f7Eo8QHnifgkzeotHMBFTbPpMjIVzC42s4qSNaoWbMqcXFx7N9/64nj+/cfJj4+npo1q9513Tmzv+TypYPs+GcNL7/U3brc1dWFxx9/DHOymW1//87lSwf5Z/tqnn++dbYdR35l9HTFtWRhIvactC6zmJOJOhiER/UyD759D1f8Ozbkwg9rH3hbkr6b7Rh+RztGHgzCs3rp+9qmT6MaxJ4JofoP7/LU0VnU/3sypd/pAA6GLKq13M7o6YZzSX+i95y4tdCcTMzBINyqZuxc9G5Ui5iDQel+7hTgh0u5AGIOpV9GRCSzMjVmtVixYoSFheHn55dd9clxjh6uAMTfGG96U3x4NE43PruzfEJk2qcfx0fEpCqfEBnLD9X6Y3R2pGTTWhQoW4Tk28Y/SvYxergBkByROmttDo/CwUab3qnQG11xqVKWwPbvWJeZfLzwaFCT4AmzuTjyK0z+vpScPoIiw1/m0qj/Zu0BiJWXlyfh4WkzM9evR+Dl5Znuei1bdeF/23ZhNptp3uxJ5s6Zhslk4tvv5uLjUxCj0Uivnp14rn0f9uw9yLPPtmTh/P/StNkLbP9nd3YeUr5i8kw5F5PCU19fE8OjMXne+1y8lyKdnyI5PpGQZf974G1J+tJrx6TwaIw3PsssRx9PvB4tx+E3vuZgvym4VyhOzflDsSQmcear5Q9cZ0nN4cb3ojkiOtVyc3hUhtqw6MDOuFYtw+m2Q2x+bvR0o9zM97m2ahuR2w4+eIVF8iGNWbUtU2NWO3TowMcff8zu3bu5cOECFy9etL7u5nDcRZZc3219HY67e/mclBiVEng6e6W+WDt7u5MQlTYoTYyKxcnGjyxnLzeb5c3xiQSt3knRuhWp2rt5FtVa7sYclfKDysHLI9Vyo7cHyTba6HaF3+mJT9dWBHV7n6TgsFTbTAy9xpVvlmBJSCLx3GWufLsE71ZpuxXL/evW7XmuXz1ufTk4OODtnTYoLVDAi4iI9LuJbtz0F3FxcSQmJrJ6zUamfTWLnj06AhAZmXITY+68n9i1ex9ms5mlS1ezefP/eO65VtlzYPlUUmTKuWjyTn19dfR2J8nGTb/MKtanJZcWbSY5PvGBtyXpS68dTd7umCNjbK2SgW3GErE3kOBf/sKSZCbq8BnOz15HoTa2uxXLg0m+8b1o9HJPtdzo7XHPNgwY3J1CPVpyrNNIEi+Fpfnc5ONFhcVjiDt1gaB3vsy6SoukY+3GPxkyaqz1tWPHDntXSbJRpjKrn3/+OQBDhgyxzrNqsVgwGAxs2LAh3fWquARQxeX+x5dlp4TIWCLOhlCoZlku/5vSxclgdMCvSkmO//JXmvJXDp3B5OKET6USXL3xFESfSiUwOjsSdijtk2ZvcjAZKVBO4wZyQnJkDAnngnGt8Qixe248VMfogEvlslz/bVO66xUdPQCPJ2tzqsswEi+EpPos7mAgbrUrZ2e1Bfjxx9/48cffrO9LliyGi4sL1atX5sCBIwBUr14ZZ2dn9u07lOHtJicnW69ZERGRnDwZlGfHbuQl5shYYs+G4FWrPBG7UrofGowOeFQr/cAPRCrQoAruFYqxv/f4rKiq3MWtdiyXqh09q5Um+Oet97XNyANBeFQqkZXVlLswR8YQf/Yy7rXKE/3vsZSFRgfcqpYm7NfN6a5X8pNX8Wr8KEc7DCfhfEiazx2L+lHhx4+I+ucwZ96bDrquSg5o2fQpWjZ9yvr+74MPxxPE9bvEtkxlVhcuXGh9LViwgAULFlj/nZcdmruBmv1bU7BicYwujvzn3Y4kJ5kJWrMrTdmoC2Gc2bCXx0d1x6WgBy4FPXh8VHdOr/uXqIspdxwrdGyId5kiGBwMGF0cqdKzKQFPVOXspv3W7TiYjBidHTGYHDAYDBidHTE6O+bYMT/srs5fhV+/53GuUAqDsxOF3+6BJclMxNptaQsbHSg+eTDu9aoTZCNQBbj2y3ocXJ3xfeV5MBlxDCiEX78OhK9Me0NDss7ZsxdYtWoDEz4bha9vQXx9CzLhs1Gs+H0t587Z7qHxaK1q1H60Oo6OjhiNRlo0f4q33nyFRYuXWst8/d8f6N2rMzVrVsVgMNC2bQueeqo+v/22OoeOLP+48MMflHztWdwrlcDBxZEyQztjSTQTusr2nXCDyYjDjWsjBnBwdsTBxrWxWN9WXN20j7gzac9XyXrnf1hLqVTt2InkDLWjEQyGNO14YfZaPKuXwb99A3Aw4F6xOMV6Nydk2facOqR8J2Tuavz7t8elYkkMLk4Ue7cbliQz11fb+JsbHSgz7R08H6/GsXQCVeeyAVRa+inhG3dzZth/FajmMmazmfj4BBITU3qeJCQmEh+fQHJy8j3WFMldDJs2bcr2q8vRXjOzexcP7LF3O1KlexMcPV0J3R/EXyNnc/XoeTwCfOmycTwre08keEfK3UjnAu40HNOHkk1rAXB2w55U86w+NqgDFTo2xNXPC3N8ItdPBXNg1hoCV/xj3V+TSa9SsdNTaerxTYme2X+w96mh43V7VyFTCr/dg4Ldnsbo4UrsgZNc/HA68cfO4BhQiPJ//JczL31EzM5DuNWtRtlFn5Ecn4AlyZxqG0eqd7L+2/XRShQd+QouFUuTdD2C8N+3EjJ5AZb4hBw+svtX63zee+JtwYIF+HLqJ7R+JmU+55Wr1qeaZ7Vbt+eZ/vV4CvhUAKBtmxZ8+ukIShQPICkpiTNnL/Dtt3P5bsa8VNsdNvQNBvTvQ4ECXpw4GcSYTyaxYkXeeFDP2oJP2LsKmVJmaGcCejXH5OFK5L5Ajr0/i+gj53Au5ku9rZPZ120c4f+k9IKoPPV1inZtnGYbG/07W//tVMibBv9O58DLXxC2Nm+OMbaQ9x4kVHZoJ2s7Ruw7laod62+dxL5un3Ld2o6vEWCjHTf4d7H+269lbcoN74ZrqcLEh1zn4vyNKeNV80jQ4+0Yb+8qZFrA4G4U6t4SB083Yvad5OzI74g9eganAD+qbprGiV5jiNpxGI/6Vam0ZCzJcQlYzKm/F/dUTJmusPQXb+LXpRnm6NRd+sN+3cLZ97/JsWN6UDX3TrJ3FbLF0pXrGDku7bF9P208dWvXsLFG3vWwZFa7tX892/fx49K895yVTAer4eHhHD58mOvXr6dKV7dunf6TNPNCsCr3lteCVUkrLwarklZeC1YlrbwYrEpqeTFYlbQe1mA1P1GwmnF5MVjN1JjVPXv2MGrUKAwGAzExMbi5uREbG0vhwoXvGqyKiIiIiIiIbRY9DdimTI1ZnTFjBp06dWLFihW4ubmxYsUKOnfuTKdOne69soiIiIiIiEgGZSpYPXfuHD169ABuPbGqV69e/PTTT1lfMxERERERkXzAYrFk+ysvylSwajKZrAfq4eFBeHg4jo6OXL9+PTvqJiIiIiIiIvlUpsasli1blv3791OnTh2qVq3K1KlTcXV1pWTJktlVPxERERERkYdassas2pShzOrbb78NwBtvvIGPjw/r1q2jf//+REZGcvr0aQYNGpSddRQREREREZF8JkOZ1RMnTgBQpkwZAAYOHMjy5cuZOHFi9tVMREREREQkH8irY0qzW6bGrN6kP6aIiIiIiIhkp0yNWb3JYNBk5iIiIiIiIlkhWclAmzIUrCYmJvL9999b38fHx6d6D/DSSy9lbc1EREREREQk38pQsFqlShUOHDiQ7ntlWkVERERERO6PhlnalqFgdcqUKdlcDREREREREZFb7mvMqoiIiIiIiGQNzbNq2309DVhEREREREQkOymzKiIiIiIiYkcas2qbMqsiIiIiIiKS6yizKiIiIiIiYkeaZ9U2ZVZFREREREQk11FmVURERERExI4sehqwTcqsioiIiIiISK6jzKqIiIiIiIgdacyqbcqsioiIiIiISK6jzKqIiIiIiIgdaZ5V25RZFRERERERkVxHmVURERERERE70tOAbVNmVURERERERHIdZVZFRERERETsSGNWbVNmVURERERERHIdBatZ5HDcRXtXQbLA3zGh9q6CPCBLcpy9qyAPaGd8sL2rIFlA7Zj3bYsLsXcV5AGt3finvasgGWSxWLL9lRcpWM0ih+Mu2bsKkgX+jlWwmtdZLPH2roI8oJ0JCnIeBrvUjnnedgWred66TVvtXQWRB6IxqyIiIiIiInaUN/Oe2U+ZVREREREREcl1DJs2bVIgnwV27NhB3bp17V0NeUBqx7xPbZj3qQ0fDmrHvE9tmPepDSWvU7AqIiIiIiIiuY66AYuIiIiIiEiuo2BVREREREREch0FqyIiIiIiIpLrKFh9iI0dO5bPPvvM3tXIc/bv388zzzyD2WzOtn2obbLGmjVr6NSpk72rIZKv3HmNnD17Nm+++aadayX2pGuxiGSXPDXP6ttvv82hQ4cwmUw4ODhQuHBhXnjhBdq0aWPvquW4vXv38s4777B+/XqMRqO9q5NtLl26xMyZM9m3bx/R0dG4u7tTvnx5hgwZgq+vb7bss0aNGqxevTpbti226dzOH1avXs2ECRPo1q0br776qr2rI3dxt2vv/Vwj9+7dy5w5czh16hSJiYkULFiQWrVqMWTIkGw6AtF19eFze5veVKFCBaZOnWrHWolkrzwVrAJ07dqVl19+GbPZzMaNGxk3bhzFihWjVq1a9q5ajklKSrJ3FXLMe++9R/Xq1fn+++/x8vLi6tWr7NixA4PBcF/bS0xMxNHRMYtrKVlB5/bDb9myZXh5ebF69Wr69u2Lk5OTvask6cjKa29wcDDDhg3jzTffZPz48RiNRoKDg9m9e3c21FxulxXXVYvFQnJy8kN9Yzwvudmm90vtKXlNngtWbzIajbRo0YKvvvqKffv2MXfuXE6dOkVSUhIlSpSgX79+1K5dG4CoqCgmTZrE7t27SUpKwsfHh1deeYVGjRpx+fJlJk+ezOHDh0lOTqZQoUK888471KhRA4Dt27czZ84czp8/j7e3N88//zwdO3YEUr6Au3XrxrBhw/j555+5dOkSpUuXZujQoZQuXRqAmJgYvvzyS7Zt24aTkxNdunRh8eLFvPzyyzz99NMAnD17lunTp3Ps2DGMRiMNGjRgwIABuLq6AikXplatWnHkyBEOHjxIz549qVKlSpq/yaJFi/jtt9+Ijo6mUaNGJCYm5umLUXh4OGfPnmXEiBF4eXkB4OPjY/27rVmzhlmzZvHzzz9b15k9eza7d+9m2rRpQMpdyDJlyhAeHs7OnTtp0qQJp06dom7duvTu3du63p9//smkSZP4+eefOXTokDVrffHiRfr27cuCBQsoUqSItfyIESPw9/fnrbfewmw288svv7By5UrCwsIICAigf//+1KlTx1r+YWub7HT7uX38+HEqV67M/Pnz2bx5M2FhYRQoUIDevXtb/z+43ebNm1m4cCGXLl3CwcGBatWq8cYbb1C0aFEATp48ybRp0wgMDMRgMFC0aFFGjhxJyZIl2bNnD9988w0XLlzAaDRSokQJPv30Uzw9PXP6T/BQOnr0KMeOHWP8+PGMHDmSLVu20KJFCyBrrpOSde517U2vZ8+MGTNYtWoVBoOBli1b8sorr2AymTh27BiOjo60bdvWWrZYsWIUK1bM+v7mtbtGjRo2tyEPJjO/mW7+thk8eDC//vor58+fZ/LkyZQrV+6e1+Lly5ezcOFCoqKieOyxxxgyZAju7u72Oux8ISgoiGnTpmW6PcuXL8+cOXPYvHkzERERlC1bljfeeINHHnnEzkckklqeHbNqNptZu3YtkZGR1KpVi+7du7N48WJ+/fVX6tWrxwcffMC1a9eAlEAhJiaGH3/8kd9//52JEydSqlQpIOXL1c/PjyVLlrB8+XJGjx5NoUKFANizZw+ffPIJr7zyCsuWLWPMmDEsXryYdevWparLunXrmDBhAkuXLqVQoUJMnjzZ+tm0adM4c+YMs2bNYt68eQQFBVnrBSk/Ct566y1q167NokWLmDlzJufPn+frr79OtY8VK1bQp08fVq5cSYcOHdL8PdavX8+CBQsYNWoUS5cupVKlSvz1119Z88e2E29vb8qWLcukSZNYvXo1gYGBJCcnZ3o7a9asoWXLlixbtozXX3+d1q1bs2bNGiyWW1MMr1y5khYtWqTJupYoUYJq1aqxZs0a67IrV66wfft2a1eqefPmsXbtWsaMGcPy5cvp1asXI0eO5MKFC8DD2TbZ6fZzu2LFinz++efs2rWLTz75hJUrV/Lll19StmxZm+u6ubkxdOhQli5dyty5c7FYLHzyySfWz6dMmULt2rVZtmwZS5cuZejQoXh4eAAwbtw42rdvz4oVK1iyZAmvvfaafiRnoWXLllG+fHnq1q1Lw4YNWbZsmfWzrLpOSta4n2vvkSNHMBqNLF68mClTpvDnn3+yaNEiACpWrIjZbOajjz5iy5YtXLp0KdPbkAeTmd9MN61evZpPP/2UVatWUb58+Xtei69evcq5c+eYM2cOc+bM4eTJk/z00085faj50v2056RJkzh69ChTpkxh6dKlNG7cmKFDhxIVFWWnoxCxLc8Fq4sXL6Zt27Z06NCBJUuWMHToUGrWrMljjz2Gs7MzTk5O9O3bF0j54gNwdHQkIiKCs2fPYrFYKFKkiDXz6ejoyNWrV7lw4QIGg4GSJUtaszBLlizhueeeo06dOjg4OFCmTBnatWuXKnAB6N27N76+vjg5OfH0009z7NgxIOXLYcOGDfTp0wc/Pz9cXFx4/fXXUwVJf/zxB8WKFaNTp044OTnh7e1N3759Wbt2baoH/DzzzDNUrVoVg8GAi4tLmr/LmjVreOaZZ6hWrRomk4lnn3023R/0ecmkSZOoW7cuy5cv57XXXqN9+/ZMnz6dhISEDG+jQYMG1K9fHwcHB1xcXGjSpAnh4eH8+++/AISEhLBr1650x/HcDG5v/lhbs2YNFSpUoFy5ckDK/yevvvoqJUuWxMHBgSeffJKqVauyceNGa/mHsW2ymq1zu3Tp0qxfv563336bUqVKYTAY8PPzo0KFCja3UbduXcqXL4/RaMTb25sXX3yRw4cPExMTA6Sc7yEhIQQHB2M0Gilfvjw+Pj4AmEwmLl68yJUrV3B0dKRq1arK2mWRyMhINm3aZM2stW3blkOHDnHy5MksvU5K1snstdfLy4s+ffrg5OREyZIl6dKli3Vca5EiRZg+fTpeXl7MmjWLnj170rVrV1atWpXhbcj9uZ/fTDf17t2bwoULYzQaiY2Nvee12Gg00r9/f5ydnfH19aVhw4YcPXo0Jw83X7jZpjdfJ06cuK/2/OOPPxg4cCCFChXCaDTy/PPP4+7uzrZt2+xwVCLpy3Npgy5duqTpq3/58mW+/fZbDh06RFRUFAaDgZiYGOtdpS5dumA2m5k4cSIhISHUqVOHfv36UaxYMQYMGMD8+fP58MMPiYyMpH79+vTr1w8fHx/Onz/P7t27U2UAkpOTKVy4cKr9+/n5Wf/t6upKfHw8ZrOZ8PBwEhMT8ff3t37u7u5uzeQAXLhwgePHj6fqHnXT1atXrVne27ug2hIaGsoTTzyRatnNoDsv8/b25qWXXuKll14iISGBHTt28Nlnn+Hq6nrPv8lNd5ZzdXWlSZMmrFq1ijp16rB69WoqV65svYFxp8aNGzNt2jR27drFf/7zH1avXk3Xrl2BlDaKjo5m9OjRqcZymc1maxe3h7Vtspqtc/vmD50SJUpkaBt79+5l7ty5nDlzhri4OOvya9eu4ebmxrBhw5g/fz7vvvsuZrOZRo0a8fLLL+Pq6srYsWNZsGAB/fv3x9XVlebNm9O7d291184Cq1evxmAw0Lx5cwAeffRRihUrxrJly3jxxRez7DopWedu115b4x1v/uC9qWjRooSEhFjfly5dmkGDBgEpQ3NWrFjBxIkTCQgIsG7vXtuQzLuf30w33f49dTMbfrdrsbe3d6reKC4uLtYbhZJ17mzTy5cv8/HHH2eqPW/2/Hr99ddTlUlKSiI0NDQbay+SeXkuWLXl888/x93dnenTp+Pj44PFYuHZZ5+1fu7i4mL90o2IiGDq1Kl8+umnfPXVV3h7e/N///d//N///R+hoaGMGzeO//73v4wcORIfHx+aNm1Knz597qte3t7eODo6cvnyZcqUKQNAdHR0qi4WPj4+VK9enUmTJt11Ww4Od0+CFypUiODg4FTLgoODrft9GDg5OdGwYUNq167NiRMnKFOmTKqABFK66N7J1t+uTZs2DBw4kPDwcFavXp1q/OqdnJ2dadasGatWrcJoNHL16lWaNWsGgIeHB05OTowbN46aNWvaXD8/tE12uXmj4dy5c1SsWPGuZRMTExk+fDi9e/fmk08+wc3NjRMnTqR66myRIkUYPHgwkPJlPWLECFxcXHjllVcoW7Yso0aNAlLGtg4dOpRChQrZDJAk4ywWCytWrCAxMZFevXpZl0dHR7N+/Xr69++fZddJyR53XnttBauhoaGYzWZrsBkcHJzuTQQPDw+6devGokWLOH78uHV7mdmG3L97/Wa66fbvzsxciyVn3U973uxRNGvWrFQ3CkVyozzXDdiW6OhoXF1d8fT0JDY2lhkzZhAbG2v9/O+//yYoKAiz2YyLiwtOTk7WL8ONGzdy4cIFkpOTcXNzw9HR0fpZx44d+e2339i9ezdmsxmz2UxQUBD79u3LUL2MRiPNmjVj7ty5hIWFERcXxzfffJMqA/f0009z4sQJli5dSlxcHBaLhZCQkEyPaWzVqhWrV6/m8OHDmM1mVq5cSWBgYKa2kdtERkby3XffERgYSEJCAmazmd27d7N3715q1KjBI488QkxMDBs3biQ5OZm9e/eyZcuWDG27cuXKlChRgvHjxxMZGUmTJk3uWr5Nmzb873//Y9GiRTRu3Bg3Nzcg5Udcu3bt+Pbbbzlz5gwWi4X4+Hj27dvHuXPngIezbXJKgQIFaNq0KVOnTuXs2bMAhIWFcfz48TRlk5KSiI+Px9PTEzc3N65cucKsWbNSlVmzZg2hoaFYLBbc3NwwGo0YjUYSExNZvXo1169fB1Iyew4ODsqqZoFdu3Zx/vx5Jk6cyMyZM62vm22zdu3aHLtOSsbc69prS0REBHPnziUhIYGzZ8+yePFi64N39u/fz5IlSwgODiY5OZn4+Hh+++03oqKiqFatWoa2IVnnXr+ZbMnMtVhy1v20Z5EiRWjYsCFTp0613kyPiYnhn3/+ISwsLCeqLZJhD0Vm9c0332Ty5Mm0a9cOb29vOnfunOpu7KVLl5g+fTphYWE4OTlRuXJlhg4dCkBgYCDfffcd4eHhODs7U7t2bV577TUAGjZsiJOTEz/88IP14ly8eHFrF9CMeOONN5g6dSovvvgizs7OdOnSBS8vL+uUDf7+/nz99dfMmDGDefPmER8fj5+fH02bNqVhw4YZ3k/z5s0JDQ3lo48+IiYmhkaNGmVq/dzIZDIRHh7O6NGjuXLlCg4ODhQqVIhu3brRuXNnDAYDAwcO5JtvvuGLL76gfv36PP300xkeI9O6dWu++uor2rRpc8+xiRUqVKB06dLs2rXL+qThmwYMGMBvv/3GRx99RGhoKE5OTjzyyCMMGDAAeDjbJicNHjyYuXPn8t5773Ht2jUKFixI375904xbdXV1ZciQIcyePZuvvvqKgIAAOnXqxD///GMts2fPHmbOnEl0dDRubm488cQTdOvWDYAtW7bw3XffERcXh5eXF61ataJVq1Y5eqwPo+XLl1OnTh0effTRVMt9fHxo06YNy5cv5+uvv86R66RkzL2uvbZu2FauXJmkpCQ6d+6Mg4MDzZs3p3v37gB4enpy4MABfvrpJyIjI61jUkePHp3qyfZ324ZknXv9ZkpPRq/FkrPutz1HjhzJjz/+yJAhQwgLC8PNzY0qVarw1ltv5UCtRTLOsGnTJsu9i0lWiYyM5LnnnmPatGlUrVrV3tUREcl1dJ3Mf+6cdkxERAQekm7Audnly5fZu3ev9YFLU6ZMoXjx4lSqVMneVRMRyRV0nRQRERFbHopuwLlZUlIS06ZN49KlS5hMJipXrswnn3yisXAiIjfoOikiIiK2qBuwiIiIiIiI5DrqBiwiIiIiIiK5joJVERERERERyXUUrIqIiIiIiEiuo2BVREREREREch0FqyIiIiIiIpLrKFgVERERERGRXOf/AT+lq7FVR0+sAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#your code here\n", + "plt.subplots(figsize=(16,8))\n", + "\n", + "sns.heatmap(titanic.corr(), annot=True);" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### According to the previous plot, what are the most correlated feature? Comment." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "#your comment here\n", + "# Pclass with Age &\n", + "# Pclass with Fare" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use the appropriate plot to display the summary statistics of the `Age` in function of the `Pclass`.\n", + "\n", + "*Hint: use boxplot to display summary statistics of `Age` in relation to each of the discrete values of `Pclass`*" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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NzZKk5uZm7dq1Sz6fz+JkAELJFpOWgQMHBv8cHx+vWbNmKTs7Wxs3bpTb7T7smQx1dXWSJJfLddRr5ubmBn8by8rKUlZWVjckBxAKEyZM0Icffhj8evjw4ZLaf+H54IMPLEoF4GSVlZWprKxMktTU1HTc821RWn7I4XDI4XCora1NSUlJKi8vV0tLS3CJaMuWLUpISDjm0tD8+fPl8XhCFRlAN3rjjTfk8/m0Z88eDR8+XJ999pnOPvtsfsYBw31/qODz+VRUVHTM822xPLRq1SrV1tZKkvbv36/f/va36t27t9LT05WZmamIiAgtXbpUgUBA27dvV3FxsXJycixODSBUPB6P+vXrp7i4OElSXFyc+vXrR2kBwowtJi3l5eVatGiRDh48qNjYWA0dOlSPPvpocPmnoKBAixYtUk5OjlwulyZMmMDbnYEwxI24QHizRWl55JFHjnk8KSlJhYWFIUoDwG4CgYACgUCHfT6fT06nU06n06JUAELNFstDAHAs+fn58nq9SkxMlCQlJibK6/UqPz/f4mQAQskWkxYAOJY5c+Zo5syZ8vl8SkxMVFVVlTweD1MWIMxQWgDY3g+XgTweDzfhAmGI5SEAxnA6nZo7dy4TFiBMMWkB0O3a2tqCD4U8WTNnzjzijbknKjY2lk+MBwxBaQHQ7erq6uT1eq2OcUS1tbUsNQGGoLQA6HaxsbHBB0jazaHPMgNgf5QWAN3O4XAwzQBw0rgRFwAAGIHSAgAAjEBpAQAARqC0ADBGfb2Ulta+BRB+KC0AjNHaKm3a1L4FEH4oLQAAwAiUFgAAYARKCwAAMAKlBQAAGIHSAsAYERFSamr7FkD44TH+AIwREyNVVFidAoBV+H0FAAAYgdICAACMQGkBAABGoLQAAAAjUFoAAIARKC0AjBEISHl57VsA4YfSAsAYgYA0bx6lBQhXlBYAAGAESgsAADACpQUAABiB0gIAAIxwwqVl37592rZtmxobG7syDwAAwBF1urSsXbtWN954o6699lrdeuut+vLLLyVJtbW1uuWWW7R27douDwkAkuR2Sxs3tm8BhJ9OlZaPPvpIc+fOldfr1Y033qi2trbgMa/Xqz59+ujtt9/u8pAAIEmRkVJaWvsWQPjpVGl58cUXNXToUC1evFgTJ0487HhaWpq2bdvWVdkAAACCOlVatm/frssuu+yox3v37q0DBw6cbCYAAIDDdKq09OzZUwcPHjzq8d27d8vr9Z50KAAAgB/qVGnJyMhQWVmZWlpaDju2f/9+vfnmmxo2bFiXhQMAADikU6XlP/7jP1RTU6PbbrtNy5cvl8Ph0Pr16/Xcc89p2rRpamtr09SpU7srK4Aw19IiVVS0bwGEn06Vlv79+6uwsFAej0dLly5VW1ubXn31Vb388ssaNGiQCgsLddZZZ51UoAceeECjR4/Whg0bgvs+//xzTZ8+XWPHjtX111+v0tLSk/p3ADCT3y+lp7dvAYSfHp19wcCBA/Xoo4+qrq5O1dXVam1tVUJCgk477bSTDlNWVnbYPTPffPON5syZo+nTpys7O1sVFRX69a9/rdNPP10jR4486X8nAAAwwwk/ETc2NlYpKSlKTU3tksJSU1OjJUuW6N577+2wv6ysTP369dOkSZMUFRWljIwMXXnllVq2bNlJ/zsBAIA5OjVpKSsrO+Zxh8Oh6OhoxcfH69xzz1V0dPSPum5bW5sKCgr085//XGeeeWaHY9u2bVNKSkqHfUOGDDluFgAAcGrpVGlZuHChHA6HJHV4Gq6kDvsdDodcLpf+7d/+Tddff/1xr1taWqq2tjaNHz/+sGN+v1/9+vXrsC82NlZ+FrUBAAgrnSotzz77rBYsWCCPx6OJEyeqb9++kqRdu3appKRE9fX1uueee3TgwAH9+c9/1u9//3u5XC7l5OQc9ZrV1dV66aWXVFRUdMTjbrdb9fX1HfbV1dXJfZwPH8nNzQ1OerKyspSVldWZbxUAAHSzsrKy4MpJU1PTcc93rFq1qu24Z/2fhQsXat++fSooKDjsWFtbm2bPnq34+Hjdd999am1t1d13362GhgYtWbLkqNd855139Oijj8rlcgX3+Xw+ud1uXXbZZYqPj9e6dev0zDPPBI8XFRWpsrJSjz322GHX8/v9ys7OVm1trTwez4/91gAYIBCQ8vOlOXMkp9PqNAC6ks/nk9fr1YoVK446mOjUjbhr167VpZdeesRjDodDl1xyidasWdN+4YgIZWZmqrq6+pjXvOyyy/TKK6/o97//ffAfSZo5c6amT5+urKws7dy5U6WlpWpubtYXX3yht99++4iffQTg1OZ0Snl5FBYgXHVqeaitrU1VVVVHPb5z5061trYGv46Kijruzbg9e/ZUz549D9vv9Xrl8Xjk8Xi0YMECFRUV6cknn1Tv3r118803KzMzszPRAQCA4TpVWi655BKVlpaqb9++uuqqq4KFpKmpSStWrNDy5cs1evTo4PmbNm0K3vfSGatWrerwdUZGhp599tlOXwcAAJw6OlVa7rzzTu3evVuLFy/WU089pbi4OEnSvn379N133yklJUV33nmnpPYi43Q6NXny5K5PDQAAwk6nSovH49HixYu1Zs0arV+/Xt9++60kadiwYbrwwgs1cuTI4Dt9oqOjD3tQHAAAwInq9GP8HQ6HMjMzO9xT0tTUpI8++kgPPPCAPvvsM7377rtdGhIAAKDTpeWQtrY2/fWvf1V5ebnWrFmjhoYGnXbaabr88su7Mh8ABNXXSyNGSJ9+KsXEWJ0GQKh1urRs2bJF5eXlWrVqlfbv3y+Hw6HRo0dr0qRJSk1NDT4ZFwC6WmurtGlT+xZA+PlRpWX37t0qLy9XeXm5qqur1adPH/3sZz9TSkqKHnroIWVmZiotLa27swIAgDB23NJyxx13aPPmzfJ6vcrMzNR9992n888/X5KO++A4AACArnLc0vLll1/q7LPP1owZM3TxxRcrMjIyFLkAAAA6OG5pufvuu7Vy5Uo9+OCDio2NVWZmpsaMGaOMjIwQxAMAAGh33NIyceJETZw4UXv27FF5eblWrlypN998U6effroyMjLkcDi4+RZASERESKmp7VsA4adTn/J8yKF3EH3wwQfat2+fevfurYsvvliXXnqpLrjgguN+3lB34lOeAQAwz4/5lOcTek7LkCFDNGTIEM2YMUN/+9vf9N577+mDDz7QW2+9JafTqbfffvukggMAAPzQCT9cTpIiIiJ0wQUX6IILLlBTU5PWrl2rlStXdlU2AACAoJMqLd8XHR2tMWPGaMyYMV11SQAAgCBuZwMAAEagtAAAACNQWgAYIxCQ8vLatwDCD6UFgDECAWnePEoLEK4oLQAAwAiUFgAAYARKCwAAMAKlBQAAGIHSAgAAjEBpAWAMt1vauLF9CyD8dNlj/AGgu0VGSmlpVqcAYBUmLQAAwAiUFgAAYARKCwAAMAKlBQAAGIHSAsAYLS1SRUX7FkD4obQAMIbfL6Wnt28BhB9KCwAAMAKlBQAAGIHSAgAAjEBpAQAARuAx/gCO6uBBqanJ6hT/z+fruLWL6GipZ0+rUwCnPkoLgCM6eFDq3bt9azeJiVYn6KhnT+nAAYoL0N0oLQCOqKmpvbBUVUkej9Vp7Mvnay9RTU2UFqC72aK0vPDCC3r33XdVW1uryMhIDR48WLfeequSk5OD51RWVqqwsFBbt26V2+1Wdna2pk6dKofDYWFy4NTn8VBaANiDLUrL6NGj9a//+q+KjY1Vc3Ozli1bplmzZum1115TZGSkGhoaNGvWLI0dO1YFBQWqrq7W7Nmz5Xa7NXnyZKvjAwCAELDFu4f69++v2NhYSVJbW5siIiJ04MAB1dXVSZJWr16t1tZWTZs2TU6nU4MGDdKUKVNUUlJiYWoAABBKtpi0SNLHH3+sRx55RH6/Xw6HQ9dcc41OO+00Se1LQ8nJyYqMjAyen5KSot27d8vv98vtdluUGgAAhIptSsvFF1+sFStWyOfzqaysTPHx8cFjfr9fMTExHc4/NJlpaGigtAAAEAZsU1oO8Xg8uvrqqzVhwgT169dPycnJcrvdqqmp6XDeoaUjl8t1xOvk5uYqOjpakpSVlaWsrKzuDQ4AADqlrKxMZWVlkqSmH/FQKNuVFqn9vpbvvvtO1dXVSk5OVlJSksrLy9XS0hJcItqyZYsSEhKOOmWZP3++PLzlAQAA2/r+UMHn86moqOiY59viRtzXX39d+/fvlyT9z//8jx5//HH16NFD6enpkqTMzExFRERo6dKlCgQC2r59u4qLi5WTk2NlbAAAEEK2mLRs2LBBr7zyihobG+VyuZSSkqJHH31UcXFxktqXgAoKCrRo0SLl5OTI5XJpwoQJvN0ZAIAwYovSkp+ff9xzkpKSVFhYGII0AADAjmyxPAQAAHA8lBYAAGAESgsAADACpQUAABiB0gIAAIxAaQEAAEagtAAAACNQWgAAgBEoLQAAwAiUFgAAYARKCwAAMAKlBQAAGIHSAgAAjEBpAQAARqC0AAAAI1BaAACAEXpYHQCATbW1KVZ1ks/qIDbnk2IlqS1WksPiMMCpjdIC4Mjq6uSTV0q0Ooi9edTe63x1tZLXY3Uc4JRGaQFwZLGx8qhWu6okD/8vPiqfT+qXKO2KjbU6CnDKo7QAODKHQ3XytI8SKC3HVCexMgSEADfiAgAAI1BaAACAESgtAADACJQWAABgBEoLAAAwAqUFAAAYgdICAACMQGkBAABGoLQAAAAjUFoAAIARKC0AAMAIlBYAAGAESgsAADACpQUAABiB0gIAAIxAaQEAAEagtAAAACNQWgAAgBF6WB1Akp555hl98skn+vbbb9WzZ09lZGTo1ltv1RlnnBE859tvv9UTTzyhv//974qKitKYMWN0++23KyoqysLkAAAgVGwxaXE4HJo9e7ZKSkr0wgsvSJJyc3ODx1tbW5Wbm6vY2Fi99tprevrpp/XFF1/od7/7nVWRAQBAiNmitNxyyy0aMmSIoqKiFBMTo+uvv16VlZWqq6uTJH3xxRfasWOH7rjjDrndbp111ln6xS9+obfeektNTU0WpwcAAKFgi9LyQ+vXr9eZZ56p2NhYSdK2bduUkJAgr9cbPCclJUUHDx5UVVWVVTEBAEAI2eKelu/bsGGDXnzxRc2bNy+4r6GhQW63u8N5hwpNQ0NDSPMB4aKtrX3r81mbw+747wOEjq1Ky8cff6xHHnlEubm5Gj58eHC/y+WS3+/vcO6hpSOXy3XEa+Xm5io6OlqSlJWVpaysrG5KDZya/u9HTImJ1uYwQc+e0v/9dQOgE8rKylRWViZJP+p2D9uUlvfee0+LFi3Sgw8+2KGwSFJycrL27Nmj2tra4BLRli1b1LNnTyUe5W/U+fPny+PxdHtu4FSVkCBVVUmxsZLDYXWadj5fe4mqqpLs9OMdHd1eXAB0zveHCj6fT0VFRcc83xalZdmyZVqyZInmz5+voUOHHnZ86NCh6t+/v5566indfffdqqur09KlS3XllVcGpykAulZEhNSvn9UpjszjsVdpARAatigthYWFioyM1OzZszvsX7hwoYYOHaqIiAg98sgjeuKJJ3T11VcrOjpaY8aM0W233WZRYgAAEGq2KC2rVq067jlnnXWWFixYEII0AADAjmz5lmcAAIAforQAAAAjUFoAGMPtljZubN8CCD+2uKcFAH6MyEgpLc3qFACswqQFAAAYgdICAACMQGkBAABGoLQAAAAjUFoAGKOlRaqoaN8CCD+UFgDG8Pul9PT2LYDwQ2kBAABGoLQAAAAjUFoAAIARKC0AAMAIlBYAAGAESgsAYzid0ty57VsA4YcPTARgDKdTysuzOgUAqzBpAQAARqC0AAAAI1BaAACAESgtAADACJQWAABgBEoLAGPU10tpae1bAOGH0gLAGK2t0qZN7VsA4YfSAgAAjEBpAQAARqC0AAAAI1BaAACAESgtAIwRESGlprZvAYQfPjARgDFiYqSKCqtTALAKv68AAAAjUFoAAIARKC0AAMAIlBYAAGAESgsAADACpQWAMQIBKS+vfQsg/FBaABgjEJDmzaO0AOGK0gIAAIxgi4fLvf/++yopKVFlZaUaGhpUXl6uyMjI4PHKykoVFhZq69atcrvdys7O1tSpU+VwOCxMDQAAQskWk5aYmBjl5OTojjvuOOxYQ0ODZs2apfT0dJWUlKigoEBvvvmmXn/9dQuSAgAAq9iitAwfPlyXX365EhISDju2evVqtba2atq0aXI6nRo0aJCmTJmikpKS0AcFAACWsUVpOZbKykolJyd3WC5KSUnR7t275ff7LUwGAABCyfalxe/3KyYmpsO+2NhYSe1LRwDCh9stbdzYvgUQfmxxI+6xuN1u1dTUdNhXV1cnSXK5XEd9XW5urqKjoyVJWVlZysrK6r6QAEIiMlJKS7M6BYCuUlZWprKyMklSU1PTcc+3fWlJSkpSeXm5WlpagktEW7ZsUUJCgtzH+HVr/vz58ng8oYoJAAA66ftDBZ/Pp6KiomOeb4vloZaWFjU1Nam5uVlSe9tqampSa2urMjMzFRERoaVLlyoQCGj79u0qLi5WTk6OxakBAEAo2WLS8t5772nhwoXBr8eNGydJevzxx5WRkaGCggItWrRIOTk5crlcmjBhgiZPnmxVXAAAYAFblJaxY8dq7NixRz2elJSkwsLCECYCAAB2Y4vlIQD4MVpapIqK9i2A8ENpAWAMv19KT2/fAgg/lBYAAGAESgsAADACpQUAABiB0gIAAIxAaQEAAEagtAAwhtMpzZ3bvgUQfmzxcDkA+DGcTikvz+oUAKzCpAUAABiB0gIAAIxAaQEAAEagtAAAACNQWgAAgBEoLQCMUV8vpaW1bwGEH0oLAGO0tkqbNrVvAYQfSgsAADACpQUAABiB0gIAAIxAaQEAAEagtAAwRkSElJravgUQfvjARADGiImRKiqsTgHAKvy+AgAAjEBpAQAARqC0AAAAI1BaAACAESgtAADACJQWAMYIBKS8vPYtgPDDW54BdLu2tjbV1dWd9HV8PmnePOnmmyWPpwuCSYqNjZXD4eiaiwHoVpQWAN2urq5OXq+3y66XmNhll1Jtba08XdWAAHQrSguAbhcbG6va2tqTvs5f/vIXXX755Vq5cqWGDRvWBcnaswEwA6UFQLdzOBxdMs3YuXNncDtmzJiTvh4As1BaANjeZ599pk2bNmnNmjWSFNympqZq+PDhVkYDEEKUFgC2N2LEiA5fL1myREuWLJHUfpMvgPBAaQFge59++mlw0rJkyRJNmzZNI0eOVGpqqtXRAIQQpQWA7Q0fPlzDhw/Xjh07JEn9+/fXTTfdZG0oACHHw+UAGMPv93fYAggvTFoA2N7nn3+urVu3BictO3bsUHFxsQYPHqyMjAxrwwEIGWNKS1tbm55//nm9+eab8vv9Gjx4sH75y19q4MCBVkcD0M1+8pOfdPi6uLhYxcXFkrgRFwgnxiwPvfrqq3r77bdVUFCgkpISpaena9asWWpsbLQ6GoBu5na7O7UfwKnJmNJSWlqqa6+9VoMGDZLT6dS0adPU3NwcfF4DgFPXZ599puXLlys7O1uSlJ2dreXLl+uzzz6zOBmAUDJieai+vl7ffPONzjvvvOC+yMhInXvuufrHP/6hK664wsJ0ALrbbbfd1uEXlBUrVmjFihUaOXKkVq9ebWEyAKFkRGlpaGiQJMXExHTYHxMTEzx2yKH1bZ/PF5pwALrdsGHDjjhVHTZsGD/rwCni0M/yse5TM6K0uFwuSe0Tl++rr69Xnz59Ouw7dI9LYld+DCwAW3r88cf1+OOPWx0DQBdqbGw8bEhxiBGlJSYmRmeddZY2b96stLQ0SVJLS4u2bdumf/mXf+lwblxcnIqLi9WrVy85HA4r4gIAgE5qa2tTY2Oj4uLijnqOEaVFknJyclRcXKx//ud/VkJCgl566SX16NFDI0eO7HBeRESE4uPjLUoJAABO1NEmLIcYU1qmTJmihoYG/epXv1JDQ4OGDBmihQsXqlevXlZHAwAAIeBYtWoVT2YCAAC2Z8xzWgAAQHgzZnkIQPh6//33VVJSosrKSjU0NKi8vFyRkZFWxwIQYkxaANheTEyMcnJydMcdd1gdBYCFmLQAsL3hw4dLav+0ZwDhi0kLAAAwAqUFAAAYgdICAACMQGkBAABG4EZcALbX0tKilpYWNTc3S5KampoUGRmpHj16KCKC372AcMETcQHY3jvvvKOFCxcetv/xxx9XRkZG6AMBsASlBQAAGIG5KgAAMAKlBQAAGIHSAgAAjEBpAQAARqC0AAAAI1BaAACAESgtAADACJQWAABgBEoLgJC57rrrtGDBAqtjADAUnz0E4KRVV1frj3/8ozZs2KC9e/cqKipKAwcO1GWXXabx48fL6XRaHfGotm/frhdeeEFbt27V/v375XQ6dc4552jKlCm65JJLrI4H4HsoLQBOyscff6x58+YpKipKV1xxhQYOHKjm5mZt3LhRTz/9tL7++mvde++9Vsc8qm+//VYNDQ3KyspSXFycDh48qDVr1uj+++/XzJkzNX78eKsjAvg/lBYAJ2zPnj16+OGHdeaZZ+qxxx5TXFxc8NikSZNUXV2tjz/+2MKEx3fRRRfpoosu6rBv0qRJuvXWW/Xaa69RWgAbobQAOGF//OMf1djYqPvuu69DYTmkb9++uuaaa476ep/Pp5dfflnr16/Xnj17FBERofT0dN1yyy1KTk7ucO6f//xnvfHGG/rmm28UFRWlhIQETZ48WT/72c8kSQ0NDVqyZInWrl2r/fv3y+12KykpSdOnT9fgwYM79X1FRkbqjDPO0ObNmzv1OgDdi9IC4IR99NFHSkhIUHp6+gm9fs+ePVq7dq0uu+wynXXWWTpw4ICWL1+uX/7yl3r++efVp08fSdKKFSu0ePFijRo1SldffbWampr01Vdf6csvvwyWlscee0yrV6/WxIkTNWDAAPl8Pm3cuFE7duz4UaWlsbFRTU1Nqq+v10cffaRPP/1Uo0ePPqHvC0D3oLQAOCF+v1979+7VpZdeesLXGDhwoF566SVFRPz/GxmvuOIK3XjjjXrrrbd04403SpI++eQTnXPOOcrLyzvqtT755BNdddVVuv32208oy1NPPaXly5dLkiIiIjRy5Ejdc889J3QtAN2D0gLghDQ0NEiSXC7XCV8jOjo6+OeWlhbV19erV69eSkxM1D/+8Y/gsZiYGNXU1Gjz5s1KSUk54rViYmL05Zdfau/evcEJTWdcc801GjVqlPbu3asPPvhAra2tam5u7vw3BaDbUFoAnJBDZeVQeTkRra2t+tOf/qTS0lLt2bNHra2twWNerzf45+uvv14bNmzQjBkz1LdvXw0bNkyXX365zj///OA5t956qxYsWKApU6Zo8ODBGjFihK644golJCT8qCz9+/dX//79JUlZWVm67777dP/99+vJJ5+Uw+E44e8RQNfh4XIATojb7VafPn20ffv2E77Gyy+/rCeffFJDhw7V/fffr4KCAv3Xf/2XzjnnnA4FZsCAAXrxxRf1wAMP6Pzzz9fq1at19913a+nSpcFzRo8erVdeeUV33XWX4uLi9Oqrr+oXv/iFPv300xPKlpmZqc2bN6uqquqEvz8AXYtJC4ATdtFFF2nFihWqqKhQWlpap1//4Ycf6ic/+YlmzZrVYX99fX2HSYsk9erVS2PGjNGYMWPU3NysBx98UH/4wx90ww03BJeZ4uLiNHHiRE2cOFEHDhzQ9OnT9Yc//EEjRozodLZAICCp/d4dAPbApAXACbvuuuvUs2dP/fa3v9X+/fsPO15dXa3XX3/9qK+PiIhQW1tbh30ffPCB9u7d22FfbW1th6+joqI0YMAASdJ3330XvB/m+3r37q0+ffoc976UAwcOHLbvu+++07vvvht8Oi4Ae2DSAuCE9e3bV7/+9a/10EMP6aabburwRNyKigp9+OGHysrKOurrL774Yr344otauHCh0tLS9NVXX2nlypWH3Ydy33336fTTT1d6erp69+6tnTt3atmyZbrooovkcrlUX1+vyZMna9SoUUpKSlKvXr20YcMGbd68WTNmzDjm9/DYY4/J7/frn/7pn9SnTx/t379f5eXl2rlzp2bMmKFevXp1yX8rACfPsWrVqrbjnwYAR7dr167gZw/t27dPUVFRGjRokMaMGaOrrroquHxz3XXXKSMjQ//5n/8pSWpqatJzzz2nlStXqr6+Xueee65mzJihZ555RpL0xBNPSJKWL1+u8vJyff3112psbFR8fLxGjhypf//3f5fb7VZzc7Oee+45/eUvfwne0Nu3b1+NHz9eOTk5x8z+/vvv66233tJXX30ln88nl8ulwYMHa9KkSSf1dm4AXY/SAgAAjMA9LQAAwAiUFgAAYARKCwAAMAKlBQAAGIHSAgAAjEBpAQAARqC0AAAAI1BaAACAESgtAADACJQWAABghP8F0Uda/rnqGl4AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "classes = [1,2,3]\n", + "for i in classes:\n", + " plt.boxplot(titanic[titanic.loc[:,'Pclass'] == i]['Age'])\n", + " plt.xlabel(f'Class {i}', fontsize=15)\n", + " plt.ylabel('Age', fontsize=15)\n", + " plt.show();" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Use the appropriate plot to display the distributions of `Age` in relation to `Gender`.\n", + "\n", + "*Hint: use Facetgrid to display the distribution of `Age` for each categorical value of `Gender`*" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your-code\n", + "g=sns.FacetGrid(titanic, col=\"Gender\")\n", + "g.map(sns.histplot,\"Age\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "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": "3.10.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/your-code/challenge-1.ipynb b/your-code/challenge-1.ipynb index 72694b0..c419fd4 100644 --- a/your-code/challenge-1.ipynb +++ b/your-code/challenge-1.ipynb @@ -34,12 +34,10 @@ "source": [ "# import libraries here\n", "import numpy as np\n", - "'''\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", - "%matplotlib inline\n", - "'''" + "%matplotlib inline" ] }, { @@ -75,20 +73,56 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here-1st way (call `subplots` twice using the `index` parameter)\n" + "# your code here-1st way (call `subplots` twice using the `index` parameter)\n", + "plt.subplots()\n", + "ax1 = plt.subplot(2,1,1) # orden de argumentos: num filas, num columnas, indice de grafica\n", + "ax1.plot(x,y)\n", + "ax2 = plt.subplot(2,1,2)\n", + "ax2.plot(x,z)\n", + "plt.show();" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here-2st way (call `subplots` only once not using the `index` parameter)\n" + "# your code here-2st way (call `subplots` only once not using the `index` parameter)\n", + "fig, ax = plt.subplots(nrows=2, ncols=1)\n", + "ax[0].plot(x,y)\n", + "ax[1].plot(x,z)\n", + "plt.show()" ] }, { @@ -102,11 +136,29 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "# esta función especifica primero el orden de gráficas y después en cada 'ax' se especifican los parámetros\n", + "fig, ax = plt.subplots(nrows=2, ncols=1, figsize=(10,5))\n", + "ax[0].plot(x,y)\n", + "ax[1].plot(x,z)\n", + "plt.show()" ] }, { @@ -120,11 +172,32 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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iD16eytjUeJtvNSHHQtYEBZ9P+efeQtIzPKw9dJw2keHcPbYnMyemkpoQ63Z5xlwwC1njqqo6L29tymP+6iw8xypJ6hjDk1MGcc+lvejYNtLt8oy5aBayxhVHympYuDaLRetzKKuuZ0RyR353z2imDOtGZLjNt5qWw0LWNKsdeWWkZxxi+fYCfKrcOLQbsyelcknvOJtvNS2ShawJuAaf8o89R0nP8LDBU0y76Ajun5DCzIkp9Ixv63Z5xgSUhawJmBO1Xt7IzOWlNVlkH6+iR6c2/PCmwUy/tCcdYmy+1bQOFrKmyeWXVrNgTRaLN+RQUeNlTK9OPHHjIG4cmkiEzbeaVsZC1jSZrbmlzFt1iHd3HgFg8rBufG1SKqN7xblcmTHusZA1F8Xb4OPvu/3zrZuyS2gfHcGsiSnMuCyF5DibbzXGQtZckPKaepZszOXF1Vnkl1bTM74NT98yhC+l9aRdtP1aGXNSyPzfICJZQAXQAHhVNU1E4oHXgRQgC5iuqiVu1dga5BZX8dKaLF7fmMuJWi+XpsTxo5uHcP2QRMKthbYxnxMyIeu4WlWPNbr/JLBSVeeIyJPO/e+5U1rLpapszilh3ioP7+86QpgIN41IYvakVEYkd3K7PGOCWqiF7KmmAVc53y8APsJCtsnUN/h4d+cR0jM8bMstpWObSB6+si/3T+hNUsc2bpdnTEgIpZBV4O8iosCfVHUukKiqBc7jR4BE16prQcqq63l9Yw4vrc7icFkNqQmx/HzaUO68JJm2UaH0K2OM+0Lp/5hJqpovIl2BD0Rkb+MHVVWdAP4cEXkIeAigV69ega80RGUfr+TF1Vksycylqq6BCX068/PbhnH1wK6E2XyrMRckZEJWVfOdr4Ui8hdgLHBURJJUtUBEkoDCM/zsXGAuQFpa2mmDuLVSVTZ4iknP8PDBnqNEhAm3jOjO7MtTGdq9o9vlGRPyQiJkRSQWCFPVCuf7G4CfAcuAGcAc5+tS96oMLXVeH3/bcZj5GVnsyC8jrm0kj17Vj/sn9KZrhxi3yzOmxQiJkMU/1/oXZ5WmCOBVVX1PRDYCS0RkNpANTHexxpBQWlXHovU5LFybxdHyWvp2ieUXtw/jjtHJtImyFtrGNLWQCFlVPQSMPM34ceDa5q8o9BwqOsH81R7e2pRPdX0Dl/dPYM6dI7iyfxebbzUmgEIiZM2FUVXWHjzOvAwP/9xbSFR4GLeN7s6sSakM6tbB7fKMaRUsZFugWm8D72wrYN6qQ+w9UkHn2Cgev7Y/Xxnfmy7to90uz5hWxUK2BSmurGPRumwWrsumqKKWAYnteObO4Uwb1YOYSJtvNcYNFrItwCdHK5i/2sPbm/Op9fq4ckAXvjY9lUn9EqylizEus5ANUapKxoFjpGd4+GhfEdERYdwxJpnZk1Lo17W92+UZYxwWsiGmpr6BpVvzmZ+Rxb6jFSS0i+bb1w/gvvG9iY+Ncrs8Y8wpLGRDxLETtby8NptX1mVzvLKOwUkd+O2XRnLLyCSiI2y+1ZhgZSEb5PYeKWd+hoe/bjlMXYOPawZ15WuTUpnQt7PNtxoTAixkg5DPp/xrfxHpGR4yDhwjJjKM6ZcmM3NiKn27tHO7PGPMebCQDSLVdQ28vSWP+RkeDhZVktghmu/eOJB7x/YizuZbjQlJFrJBoLC8hoVrs1m0PpuSqnqGdu/A/355FFOHJxEVYS20jQllFrIu2nW4jPQMD+9sO4zXp1w/OJHZk1IZmxpv863GtBAWss3M51P+ubeQ9AwPaw8dp21UOPeN680Dl6WQkhDrdnnGmCZmIdtMquq8vLkpjxdXZ+E5Vkn3jjE8NWUQd4/tRcc2kW6XZ4wJEAvZACsoq2bBmmwWb8ihrLqekT078bt7RjNlWDciw22+1ZiWzkI2QLbnlZKe4eFv2wvwqTJ5WDdmT0plTK84m281phWxkG1CDT7lg91HmZ/hYUNWMe2iI5hxWQoPXJZCz/i2bpdnjHGBhWwTOFHr5Y3MXF5cnUVOcRXJcW344U2D+fKlPWkfY/OtxrRmFrIXIb+0mgVrsli8IYeKGi9jenXiySmDuGFIIhE232qMoQWErIhMBp4HwoF5qjon0K+5JaeEeRke3tt5BIApznzr6F5xgX5pY0yICemQFZFw4A/A9UAesFFElqnq7qZ+LW+Dj/d3HSU94xCbc0ppHxPB1yalcv9lKfTo1KapX84Y00KEdMgCY4EDTjdbROQ1YBrQZCFbXlPPko3++db80mp6xbfl6VuG8KW0nrSLDvX/fMaYQAv1lOgB5Da6nweMa6onf3ldNs+8u5cTtV7Gpsbz41uGcN3gRMKthbYx5hyFesieExF5CHgIoFevXuf8c0kdYrhucFdmT+rD8OSOgSrPGNOChXrI5gM9G91PdsY+Q1XnAnMB0tLS9Fyf/LohiVw3JPFiazTGtGKhfp3RRqC/iKSKSBRwN7DM5ZqMMeZTIX0mq6peEXkMeB//JVzzVXWXy2UZY8ynQjpkAVR1BbDC7TqMMeZ0Qn26wBhjgpqonvP7QC2CiBQB2efxIwnAsQCV09xa0r5Ay9of25fgdD770ltVu5w62OpC9nyJSKaqprldR1NoSfsCLWt/bF+CU1Psi00XGGNMAFnIGmNMAFnInt1ctwtoQi1pX6Bl7Y/tS3C66H2xOVljjAkgO5M1xpgAspD9AiIyWUT2icgBEXnS7XrOh4j0FJEPRWS3iOwSkced8XgR+UBEPnG+hsxK4yISLiJbRGS5cz9VRNY7x+d156PVQU9EOonImyKyV0T2iMiEED8u33J+x3aKyGIRiQmVYyMi80WkUER2Nho77bEQv985+7RdRMacy2tYyJ5BowXBpwBDgHtEZIi7VZ0XL/BtVR0CjAcedep/Elipqv2Blc79UPE4sKfR/WeA51S1H1ACzHalqvP3PPCeqg4CRuLfp5A8LiLSA/hPIE1Vh+H/ePvdhM6xeQmYfMrYmY7FFKC/c3sIeOGcXkFV7XaaGzABeL/R/aeAp9yu6yL2Zyn+DhL7gCRnLAnY53Zt51h/svMLfw2wHBD8F4lHnO54BesN6Ah4cN4PaTQeqsfl5JrO8fg/pr8cuDGUjg2QAuw827EA/gTcc7rtvuhmZ7JndroFwXu4VMtFEZEUYDSwHkhU1QLnoSNAqKzl+L/AE4DPud8ZKFVVr3M/VI5PKlAEvOhMfcwTkVhC9Lioaj7wWyAHKADKgE2E5rE56UzH4oIywUK2hRORdsBbwDdVtbzxY+r/5zjoLy8RkZuBQlXd5HYtTSACGAO8oKqjgUpOmRoIleMC4MxXTsP/j0d3IJbP//kdspriWFjIntk5LQgezEQkEn/ALlLVt53hoyKS5DyeBBS6Vd95mAjcKiJZwGv4pwyeBzqJyMmV5ELl+OQBeaq63rn/Jv7QDcXjAnAd4FHVIlWtB97Gf7xC8dicdKZjcUGZYCF7ZiG9ILiICJAO7FHVZxs9tAyY4Xw/A/9cbVBT1adUNVlVU/Afh3+q6n3Ah8Bdzmahsi9HgFwRGegMXYu/8WfIHRdHDjBeRNo6v3Mn9yfkjk0jZzoWy4D7nasMxgNljaYVzsztSedgvgFTgf3AQeAHbtdznrVPwv9nznZgq3Obin8ucyXwCfAPIN7tWs9zv64Cljvf9wE2AAeAN4Bot+s7x30YBWQ6x+avQFwoHxfgp8BeYCfwMhAdKscGWIx/Lrke/18Zs890LPC/2foHJw924L+i4qyvYZ/4MsaYALLpAmOMCSALWWOMCSALWWOMCSALWWOMCSALWWOMCSALWWMacVYv84hIvHM/zrmf4nJpJkRZyBrTiKrm4l9daY4zNAeYq6pZrhVlQppdJ2vMKZyPI28C5gMPAqPU/5FRY85bwEJWROYDJxf2GOaMxQOv419aLAuYrqolzsfxnsf/iaQq4AFV3ez8zAzgh87T/reqLnDGL8G/FmQbYAXwuJ7DziQkJGhKSkrT7KQxxjg2bdp0TFW7nDoeyJC9AjgBLGwUsr8GilV1jtNpIE5VvyciU4Fv4A/ZccDzqjrOCeVMIA3/R0Q3AZc4wbwB/2LB6/GH7O9U9d2z1ZWWlqaZmZlNvr/GmNZNRDapatqp4wGbk1XVj4HiU4anAQuc7xcAtzUaX6h+6/Cv4JOEf/HfD1S1WFVLgA+Ayc5jHVR1nXP2urDRcxljTNBo7je+zncx3C8azzvNuDHGBBXXri5wzkCb5V03EXlIRDJFJLOoqKg5XtIYE6JqvQ00+Joumpo7ZM93MdwvGk8+zfhpqepcVU1T1bQuXT43L22MMQCUVtXx1Xkb+Pny3U32nM0dsue7GO77wA3OBeFxwA34G7IVAOUiMt65MuF+QmtRYGNMkMktruLOF9awNbeUS3o3XUf2iLNvcmFEZDH+BZYTRCQPeBr/hd1LRGQ2kA1MdzZfgf/KggP4L+GaCaCqxSLyc/xdCgB+pqon30x7hH9fwvWuczPGmPO2M7+MmS9tpLa+gZdnj2Vcn85N9tyt7sMIdgmXMaaxD/cW8uirm4lrG8VLMy+lf2L7C3qeM13CFbAzWWOMCXaL1mfzo7/uZEj3DsyfcSldO8Q0+WtYyBpjWh2fT3nmvb386eNDXD2wC7+/dwyx0YGJQwtZY0yrUlPfwH8t2cqKHUf4yvhe/OSWoUSEB+4aAAtZY0yrUVRRy4MLM9mWV8oPbxrM7Emp+C9QChwLWWNMq/DJ0QpmvrSRYydqeeG+MUweltQsr2sha4xp8VZ9UsQjizYTExnO6w9NYGTPTs322hayxpgW7eV12fxk2S76d23HvBlpJMe1bdbXt5A1xrRI3gYfv1ixhxdXZ3HNoK787p7RtAvQFQRfxELWGNPilNfU841Xt/Cv/UXMmpjKD24aTHhYYN/gOhMLWWNMi5JzvIrZCzbiOVbJr+4Yzj1je7laj4WsMabFWHPwGI8s2gzAwtljuaxvgssVWcgaY1qIReuzeXrpLlISYkmfkUbvzrFulwRYyBpjQlx9g4+fvrOLV9blcPXALvzuntG0j4l0u6xPWcgaY0LW8RO1PLJoM+s9xTx8ZR+euHGQa29wnYkr7WdE5FsisktEdorIYhGJEZFUEVkvIgdE5HURiXK2jXbuH3AeT2n0PE854/tE5EY39sUY445dh8u49fer2ZJbynNfHslTU9y7guCLNHvIikgP/K2805xW4eHA3cAzwHOq2g8oAWY7PzIbKHHGn3O2Q0SGOD83FJgM/FFEwptzX4wx7nhn22HufGENPlXe/PoEbh+dfPYfcolbjRQjgDYiEgG0BQqAa4A3ncdPbRd+so34m8C1TsuZacBrqlqrqh78XRXGNk/5xhg3NPiUX727h28s3sKw7h1Z9tgkRiR3crusL9Tsc7Kqmi8ivwVygGrg78AmoFRVvc5mjVt8f9oWXFW9IlIGdHbG1zV6amsLbkwLVlpVxzcWb2HVJ8e4b1wvnr5lKFERrjXcPmfNHrJOQ8RpQCpQCryB/8/9QL7mQ8BDAL16uXthsjHm/O0+XM7Dr2RypKwmKD5gcD7c+GfgOsCjqkWqWg+8DUwEOjnTB/DZFt+ftgV3Hu8IHOfM7cI/x1qCGxO6lm7N544XVlPn9fH6wxNCKmDBnZDNAcaLSFtnbvVaYDfwIXCXs82p7cJPthG/C/in+rs/LgPudq4+SAX6AxuaaR+MMQFW5/Xxk2W7ePy1rYzo0Ynl37icMb2arlV3c3FjTna9iLwJbAa8wBZgLvA34DUR+W9nLN35kXTgZRE5ABTjv6IAVd0lIkvwB7QXeFRVG5p1Z4wxAVFYXsMjizaTmV3CrImpPDV1EJEBbBETSNYS3BgTVNYdOs5jr26hstbLM3eN4NaR3d0u6ZxYS3BjTFBTVf686hDPvLeP3p3b8uqD4xiQ2N7tsi6ahawxxnVl1fV8941t/H33UaYO78av7xrpygLbgdAy9sIYE7J25pfxyKLNHC6t5kc3D2HWxJSAd5BtThayxhhXqCqvbsjhp+/sJr5tFK8/PJ5Lese7XVaTs5A1xjS7E7VefvCXHSzdepgrBnThuekj6dwu2u2yAsJC1hjTrHYfLuexVzeTdbyS79wwgEeu6kdYEK6e1VQsZI0xzaLx9ECnNpG8+uB4xvfp7HZZAWcha4wJuPKaep56awd/21HA5f0TeO7Lo0hoodMDp7KQNcYE1NbcUr6xeDOHS2v43uRBPHxFnxY9PXAqC1ljTED4fMrcVYf47fv7SOwQw5KHJ3BJ79Bbe+BiWcgaY5pcYXkN335jG6s+OcbU4d341R0j6NgmeJobNicLWWNMk/rn3qN8543tVNV5+eXtw7lnbM8W9eGC82Uha4xpEjX1Dcx5dy8vrcliULf2/L97xtO/Baw9cLEsZI0xF21PQTmPv7aF/UdPMHNiCt+bPIiYSOtrCu61BO8kIm+KyF4R2SMiE0QkXkQ+EJFPnK9xzrYiIr9zWn9vF5ExjZ5nhrP9JyIy48yvaIwJBJ9PmbfqENN+v5qSqnoWzBrL07cMtYBtxK0z2eeB91T1LhGJwt+x9vvASlWdIyJPAk8C3wOm4O960B8YB7wAjBOReOBpIA1QYJOILFPVkubfHWNan4Kyar7zxjZWHzjO9UMSmXPH8Bb70diL4UYjxY7AFcADAKpaB9SJyDTgKmezBcBH+EN2GrDQaTmzzjkLTnK2/UBVi53n/QB/Q8bFzbUvxrRWS7fm86O/7sTrU565czjT01r3m1tfxI0z2VSgCHhRREbibwf+OJCoqgXONkeAROf7T1uCO062/j7T+OdYt1pjmkZpVR0/WrqLd7YdZkyvTjw7fRQpCbFulxXU3JiTjQDGAC+o6migEv/UwKecs9Ym64tj3WqNuXgf7ivkhuc+5t0dBXznhgEseXiCBew5cONMNg/IU9X1zv038YfsURFJUtUCZzqg0Hn8TK2/8/n39MLJ8Y8CWLcxrdKJWi+/+NseFm/IYWBie+Y/cCnDenR0u6yQ0exnsqp6BMgVkYHO0MmW4I1bf5/aEvx+5yqD8UCZM63wPnCDiMQ5VyLc4IwZY5rImoPHuPG5j3ltYw4PX9GHpY9NtIA9T25dXfANYJFzZcEhYCb+wF8iIrOBbGC6s+0KYCpwAKhytkVVi0Xk58BGZ7ufnXwTzBhzcSprvTzz3l4Wrs0mNSGWN78+oUV2LWgO1hLcGPMZaw8e54m3tpFXUs0Dl6XwxI2DaBNl172ejbUEN8Z8oRO1Xua8u4dX1uXQu3NbXn9oAmNT7ez1YlnIGmP4eH8RT729g8Nl1cyelMq3bxhA2yiLh6Zg/xWNacVKq+r4+fI9vLU5j75dYnnz65e1yjVfA8lC1phWSFX5244CfrJsN6VVdTx2dT8eu6afrTkQAGcMWRFZATyiqlnNV44xJtAOl1bz46U7+ceeQob36MiCWZcytLtdlhUoX3Qm+yLwdxFZAPxaVeubqSZjTAA0+JSX12bxm/f30aDKD28azAOXpRAR7spifK3GGUNWVd8QkXeBHwGZIvIy4Gv0+LPNUJ8xpgnsOlzG9/+yk225pVwxoAu/uG0YPePbul1Wq3C2Odk6/GsLRAPtaRSyxpjgV1nr5bkP9vPimizi2kby/N2juHVkd1sxqxl90ZzsZOBZ/B9rHaOqVc1WlTHmoqgq7+86ys/e2cXhshruHdeL7904iI5tW2czQzd90ZnsD4Avqequ5irGGHPxco5X8ZN3dvHPvYX+Xlv3jraPxLroi+ZkL2/OQowxF6emvoH/+9dB/vjRQSLCxN7YChJ2nawxLcDKPUf56Tu7ySmu4uYRSfzwpiF06xjjdlkGC1ljQlr28Up+9s5uVu4tpG+XWF6ZPY5J/RPcLss0YiFrTAiqrPXyhw8PMG+Vh8hw4ftTB/HAZalERdjUQLBxLWRFJBzIBPJV9WYRSQVeAzrj7/v1VVWtE5FoYCFwCXAc+PLJT6GJyFPAbKAB+E9VtUW7TYvm8ylLt+XzzLv7OFJewx2je/C9KYNI7GBTA8HKzTPZx4E9QAfn/jPAc6r6moj8H/7wfMH5WqKq/UTkbme7L4vIEOBuYCjQHfiHiAxQ1Ybm3hFjmsOWnBJ+tnw3W3JKGd6jI3+4z64aCAWu/G0hIsnATcA8574A1+Dv9wX+luC3Od9Pc+7jPH6ts/004DVVrVVVD/7OCWObZQeMaUaHS6t5/LUt3P7HNeQWV/Obu0aw9NGJFrAhwq0z2f8FnsD/KTLwTxGUqqrXud+4vfenrb9V1SsiZc72PYB1jZ7TWoKbFuVErZf/++gg8zIO4VN49Oq+/MdV/WgXbW+lhJJmP1oicjNQqKqbROSq5nhNVZ0LzAV/+5nmeE1jLpS3wceSzDye/WA/x07UcsvI7jxx40BbayBEufFP4kTgVhGZCsTgn5N9HugkIhHO2ezJtt/w75bgeSISAXTE/wbYmVqFGxOSVJUP9xXyqxV7+aTwBJf0juPP91/C6F62iHYoc6Ml+FOqmqyqKfjfuPqnqt4HfAjc5Wx2akvwk63C73K2V2f8bhGJdq5M6A9saKbdMKZJbckp4e6565j1UiZen/J/XxnDm1+fYAHbAgTT5M73gNdE5L+BLUC6M54OvCwiB4Bi/MGMqu4SkSXAbsALPGpXFphQc7DoBP/z932s2HGEhHZR/GzaUO4Z24tI+yhsi2EtwY1xweHSan638hPe2JRHTEQYX7u8Dw9e0cfe1Aph1hLcmCBw/EQtf/zoIC+vy0ZVuX9Cbx69uh8J7aLdLs0EiIWsMc2grKqeP686xPzVHmrqG7hzTDKPX9ef5Di7YqCls5A1JoDKa+p5MSOLeRmHqKjxctOIJL51XX/6dW1/9h82LYKFrDEBUFFTz4I1Wfx5lYey6nquH5LIf10/gMFJHc7+w6ZFsZA1pgmV19SzYHUW8zL84XrtoK586/oBDOthLbdbKwtZY5pAaVUd8zM8vLgmi4oaL9cNTuTxa/szPNnCtbWzkDXmIhRW1JC+ysMr67KprGtg8tBuPHZNPztzNZ+ykDXmAuQWV/Gnjw+yJDMPb4OPm0Z059Gr+zKom825ms+ykDXmPOwpKOdP/zrIO9sLCBO4c0wyX7+yLykJsW6XZoKUhawxZ6GqrDl4nD99fIiP9xfRNiqcWRNTmD2pjzUrNGdlIWvMGdQ3+Pjb9gLmfnyI3QXlJLSL5rs3DuQr43rTsW2k2+WZEGEha8wpyqrqeXVDDgvWZHGkvIZ+Xdsx547h3Da6BzGR4W6XZ0KMhawxjgOFFby4Oou3N+dTXd/AxH6d+eUdw7hqQFfCwsTt8kyIcqMzQk/83WcTAQXmqurzIhIPvA6kAFnAdFUtcfp5PQ9MBaqAB1R1s/NcM4AfOk/936q6AGPOQ4NP+XBvIQvWZrHqk2NERYRx26juzJyYap/OMk3CjTNZL/BtVd0sIu2BTSLyAfAAsFJV54jIk8CT+NeYnYJ/Qe7+wDj8HWzHOaH8NJCGP6w3icgyVS1p9j0yIaekso4lmbm8sj6b3OJqEjtE8+3rB3DvuF50thWxTBNq9pBV1QKgwPm+QkT24G+AOA24ytlsAfAR/pCdBix0uiGsE5FOIpLkbPuBqhYDOEE9GVjcbDtjQoqqsjmnlEXrs1m+vYA6r4+xqfE8OXkwNwxNtIWyTUC4OicrIinAaGA9kOgEMMAR/NMJ0KhbreNkV9ozjRvzGeU19Szdks+i9TnsPVJBu+gIpqcl89XxKQzsZqthmcByLWRFpB3wFvBNVS33T736qaqKSJO1bLCW4K2PqrIpu4TXNuayfPthaup9DO3egV/ePpxbR3W3DgSm2bjymyYikfgDdpGqvu0MHxWRJFUtcKYDCp3xM3Wlzeff0wsnxz863etZS/DWo7Cihr9szmdJZi4HiyqJjQrn9tE9uHdsb1usxbjCjasLBH9zxD2q+myjh052pZ3D57vVPiYir+F/46vMCeL3gV+KyMl2njcATzXHPpjgUuttYOWeQt7alMdH+4to8CmX9I7j13f15abhScTaWatxkRu/fROBrwI7RGSrM/Z9/OG6RERmA9nAdOexFfgv3zqA/xKumQCqWiwiPwc2Otv97OSbYKbl87+JVcLbm/NZvr2Asup6EjtE8+DlffhSWjJ9u7Rzu0RjAOtWa0LMgcIKlm49zNKth8kpriImMowbh3bjzjHJTOyXQLh9aMC4xLrVmpCVW1zF8u0FvLPtMLsLygkTmNgvgcev7c+Nw7rZm1gmqNlvpwlK+aXVrNhewPIdBWzLLQVgdK9O/PjmIdw8Momu7W31KxMaLGRN0DhUdIL3dx3lvZ0FbMsrA2BYjw48MXkgt4zoTs94a59tQo+FrHGNqrIjv4wPdh/l/V1H2H/0BAAjkzvy5JRBTBnWjd6dbTFsE9osZE2zqqlvYM3BY6zcU8jKPYUcKa8hTCAtJZ4f3zyEG4YmkhxnZ6ym5bCQNQGXW1zFR/uL+GhvIasPHqOm3kfbqHAu75/Ad4YM5JpBXYmPjXK7TGMCwkLWNLmqOi/rDxXz8SdFfLy/iINFlQD0jG/Dl9N6cvWgrozv09kWwDatgoWsuWjeBh/b88tYc+AYGQeOsSm7hPoGJToijHF9OnPvuN5cOaALfbvE0niNCmNaAwtZc968DT52Hi5n/aHjrDt0nI1ZJZyo9QIwJKkDMyemcnn/BC5NibezVdPqWcias6qq87Itt4zMrGI2ZBWzObuEyroGAPp0iWXaqO5M6NuZCX0624LXxpzCQtZ8hqqSW1zNltwStuSUsim7hN0F5TT4FBEYmNieO8YkM65PPGNT4+1DAcachYVsK6aqHC2vZXteKTvzy9iWV8b2vFJKquoBaBsVzojkjvzHlX25pHccY3rFWStsY86ThWwrUd/gI+tYJbsLytlTUMHugnJ25ZdxvLIOgDCBAYntuWFIN0b07MjonnEMSGxHhLVkMeaiWMi2MPUNPnKKqzhQeIIDhSfYf7SCfUcqOFRUSV2DD4DIcKF/1/ZcM6grQ7t3YHhyR4YkdaRNlL1JZUxTC/mQFZHJ+FuGhwPzVHWOyyUFnLfBR0FZDdnHq8g6Xkn28Uo8x/y37ONVeH3/Xr6yR6c29E9sx5UDuzAwsT2DkzrQt0s7oiLsDNWY5hDSISsi4cAfgOvxN1Lc6LQF3+1uZRdOVSmv9nKkvIYj5TUUlFZzuKyG/JJq8kuryC+t5nBpDQ2NgjQ6IozUhFj6d23P5GHd6NulHX26tKNf13a2DKAxLgv1/wPHAgdU9RCA06JmGhAUIauq1Hp9VNR4Ka+pp6zafyutqqO4sp6SyjqOV9Zy/EQdx07UUlhRS1FFLbVe32eeRwQS28fQI64No3vGMW1kW3rGt6F351h6d25LYvsYwmyxamOCUqiH7Onago9rqif/aF8hH+0rQlXxKfhUafApXp/ibfBR71PqvD5q6huodb5W1zVQVddAZZ2Xylov9Q1n7jwRJhAfG03n2Ci6tI/m0pRYurSPpmv7aBI7xNCtYwxJHWNI7BBDpL0BZUxICvWQPScX2hJ875EK3t6cR1iYIEB4mBAmQkSYEBEeRkS4EB0RTnREGNERYcTHRtGmUzhtosJpFx1BbHQE7aIj6BATQfuYSDq2jaRjm0ji2kYR1zaSDjGRdgZqTAsX6iF7pnbhn3GhLcG/fmVfvn5l34ut0RjTioX636Abgf4ikioiUcDd+FuIG2NMUAjpM1lV9YrIY8D7+C/hmq+qu1wuyxhjPhXSIQugqiuAFW7XYYwxpxPq0wXGGBPURPWc3wdqEUSkCMg+jx9JAI4FqJzm1pL2BVrW/ti+BKfz2Zfeqtrl1MFWF7LnS0QyVTXN7TqaQkvaF2hZ+2P7EpyaYl9susAYYwLIQtYYYwLIQvbs5rpdQBNqSfsCLWt/bF+C00Xvi83JGmNMANmZrDHGBJCF7BcQkckisk9EDojIk27Xcz5EpKeIfCgiu0Vkl4g87ozHi8gHIvKJ8zXO7VrPlYiEi8gWEVnu3E8VkfXO8Xnd+Wh10BORTiLypojsFZE9IjIhxI/Lt5zfsZ0islhEYkLl2IjIfBEpFJGdjcZOeyzE73fOPm0XkTHn8hoWsmfQaEHwKcAQ4B4RGeJuVefFC3xbVYcA44FHnfqfBFaqan9gpXM/VDwO7Gl0/xngOVXtB5QAs12p6vw9D7ynqoOAkfj3KSSPi4j0AP4TSFPVYfg/3n43oXNsXgImnzJ2pmMxBejv3B4CXjinV1BVu53mBkwA3m90/yngKbfruoj9WYq/g8Q+IMkZSwL2uV3bOdaf7PzCXwMsBwT/ReIRpztewXoDOgIenPdDGo2H6nE5uaZzPP6P6S8HbgylYwOkADvPdiyAPwH3nG67L7rZmeyZnW5B8B4u1XJRRCQFGA2sBxJVtcB56AiQ6FZd5+l/gSeAk20jOgOlqup17ofK8UkFioAXnamPeSISS4geF1XNB34L5AAFQBmwidA8Nied6VhcUCZYyLZwItIOeAv4pqqWN35M/f8cB/3lJSJyM1CoqpvcrqUJRABjgBdUdTRQySlTA6FyXACc+cpp+P/x6A7E8vk/v0NWUxwLC9kzO6cFwYOZiETiD9hFqvq2M3xURJKcx5OAQrfqOw8TgVtFJAt4Df+UwfNAJxE5uZJcqByfPCBPVdc799/EH7qheFwArgM8qlqkqvXA2/iPVygem5POdCwuKBMsZM8spBcEFxEB0oE9qvpso4eWATOc72fgn6sNaqr6lKomq2oK/uPwT1W9D/gQuMvZLFT25QiQKyIDnaFr8Tf+DLnj4sgBxotIW+d37uT+hNyxaeRMx2IZcL9zlcF4oKzRtMKZuT3pHMw3YCqwHzgI/MDtes6z9kn4/8zZDmx1blPxz2WuBD4B/gHEu13ree7XVcBy5/s+wAbgAPAGEO12fee4D6OATOfY/BWIC+XjAvwU2AvsBF4GokPl2ACL8c8l1+P/K2P2mY4F/jdb/+DkwQ78V1Sc9TXsE1/GGBNANl1gjDEBZCFrjDEBZCFrjDEBZCFrjDEBZCFrjDEBZCFrTCPO6mUeEYl37sc591NcLs2EKAtZYxpR1Vz8qyvNcYbmAHNVNcu1okxIs+tkjTmF83HkTcB84EFglPo/MmrMeYs4+ybGtC6qWi8i3wXeA26wgDUXw6YLjDm9Kfg/bjnM7UJMaLOQNeYUIjIK/wLn44FvnVyRyZgLYSFrTCPOSlIv4F9/Nwf4Df5FqY25IBayxnzWg0COqn7g3P8jMFhErnSxJhPC7OoCY4wJIDuTNcaYALKQNcaYALKQNcaYALKQNcaYALKQNcaYALKQNcaYALKQNcaYALKQNcaYAPr/mYu/Zmc40TQAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "fig, ax = plt.subplots(nrows=2, ncols=1, figsize=(5,5))\n", + "ax[0].plot(x,y)\n", + "ax[0].set_xlabel('X')\n", + "ax[0].set_ylabel('Y')\n", + "ax[1].plot(x,z)\n", + "ax[1].set_xlabel('X')\n", + "ax[1].set_ylabel('Y')\n", + "plt.show()" ] }, { @@ -138,11 +211,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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nkerTxkzP1WBaZjJ8Zi4DlgEsWrSo6b1ds//mZ80+hSRJGucavWHpA8CcuvXZtbYB94mINmAaxaR4SZKkMa3RoHUTsCAi5kdEB3A+sLzfPsuBt9benwP8oOz5WZIkSSOhoaHD2pyrC4FrKG7vcGlmroqIDwErM3M58HngSxGxBthMEcYkSZLGvIbnaGXmCmBFv7b31b3fBbyx0fNIkiSNNtGKo3gRsQm4bwRONYN+v35US/B7aV1+N63J76V1+d20puH+Xp6emTMH2tCSQWukRMTKzFxUdh3al99L6/K7aU1+L63L76Y1jeT30uhkeEmSJA3CoCVJktQk4z1oLSu7AA3I76V1+d20Jr+X1uV305pG7HsZ13O0JEmSmmm892hJkiQ1jUFLkiSpScZl0IqIxRFxd0SsiYiLyq5nPIuIORHxw4i4KyJWRcS7au2HR8T/iYhf114PK7vW8SgiqhFxS0R8p7Y+PyJurF07X6s9eksjLCKmR8RVEfHLiFgdES/0milfRPxl7X/H7oyIyyNiotdMOSLi0ojYGBF31rUNeI1E4eLad3R7RDx/OGsZd0ErIqrAJcCZwEJgSUQsLLeqca0b+OvMXAicBvxp7fu4CPh+Zi4Avl9b18h7F7C6bv2jwL9k5jOBLcAFpVSlTwL/lZnHA8+l+I68ZkoUEbOAPwcWZeaJFI+lOx+vmbJcBizu1zbYNXImsKC2LAU+PZyFjLugBZwCrMnMtZnZCVwBnF1yTeNWZm7IzF/U3j9B8Q/GLIrv5Au13b4AvK6UAsexiJgNvAb4XG09gFcAV9V28XspQURMA15K8RxZMrMzMx/Da6YVtAGTIqINmAxswGumFJl5LcXzlesNdo2cDXwxCzcA0yPi6OGqZTwGrVnAurr19bU2lSwi5gEnAzcCR2bmhtqmh4Ajy6prHPsE8LdAb239COCxzOyurXvtlGM+sAn499qw7uciYgpeM6XKzAeAfwbupwhYW4Gb8ZppJYNdI03NBeMxaKkFRcRU4D+Av8jMx+u3ZXEPEu9DMoIi4rXAxsy8uexatJ824PnApzPzZGA7/YYJvWZGXm2+z9kUQfgYYAr7D12pRYzkNTIeg9YDwJy69dm1NpUkItopQtZXMvMbteaH+7pua68by6pvnHoRcFZE3EsxvP4KinlB02vDIuC1U5b1wPrMvLG2fhVF8PKaKdcrgXsyc1NmdgHfoLiOvGZax2DXSFNzwXgMWjcBC2q/BOmgmKy4vOSaxq3avJ/PA6sz8+N1m5YDb629fyvwrZGubTzLzPdk5uzMnEdxjfwgM98M/BA4p7ab30sJMvMhYF1EHFdr+h3gLrxmynY/cFpETK7971rf9+I10zoGu0aWA39Y+/XhacDWuiHGho3LO8NHxKsp5p9UgUsz8x/LrWj8iogXAz8B7mDvXKC/p5indSUwF7gPODcz+09s1AiIiNOBd2fmayPiWIoersOBW4C3ZObuEssblyLieRQ/UugA1gJvp/h/nL1mShQRHwTOo/g19S3AH1HM9fGaGWERcTlwOjADeBh4P/BNBrhGasH4UxRDvTuAt2fmymGrZTwGLUmSpJEwHocOJUmSRoRBS5IkqUkMWpIkSU1i0JIkSWoSg5YkSVKTGLQkSZKaxKAlSZLUJG0H3mXkzZgxI+fNm1d2GZIkSQd08803P5KZMwfa1pJBa968eaxcOWw3ZZUkSWqaiLhvsG0OHUqSJDWJQUuSJKlJDFqSJElNYtCSJElj061fhW9dCL09pZXQtKAVEVMiYmVEvLa2/rqI+GxEfC0iXtWs80qSJHHb1+CbfwJb10FPV2llDDloRcSlEbExIu7s1744Iu6OiDURcVHdpr8DruxbycxvZuY7gHcC5zVauCRJ0oBuvxK++U6Y92I4/3Jon1haKQfTo3UZsLi+ISKqwCXAmcBCYElELIyIM4C7gI0DHOe9tc9IkiQNr9u+Bv/5x/D0F8GbvgYdk0stZ8j30crMayNiXr/mU4A1mbkWICKuAM4GpgJTKMLXzohYASTwEeDqzPxF/+NHxFJgKcDcuXMP/i+RJEnj2y1fgW/9Kcx/CSwpP2RB4zcsnQWsq1tfD5yamRcCRMTbgEcyszci/hx4JTAtIp6ZmZ+pP1BmLgOWASxatCgbrEuSJI0nN18G3/4LOPZ0OP+rLRGyoMl3hs/My+reXwxc3MzzSZKkcejGZXD138CCV8G5Xyp1TlZ/jf7q8AFgTt367FqbJElS8133L0XIOv61cN6XWypkQeNB6yZgQUTMj4gO4HxgeeNlSZIkPYlM+P6H4HsfgBPPgTdeBm0Tyq5qPwdze4fLgeuB4yJifURckJndwIXANcBq4MrMXNWcUiVJkoDeXrj6b+En/x88/63w+mVQbS+7qgEdzK8OlwzSvgJYMWwVSZIkDaanq7jb++1XwAsvhFf9vxBRdlWDaupkeEmSpGHTtRO+/jb41X/BK94LL3l3S4csMGhJkqTRYOcW+Or5sO5GeM3H4bcuKLuiITFoSZKk1rZ1PXz5DbB5bTHp/dmvK7uiITNoSZKk1rVxdRGydj0Ob74Kjn1Z2RUdFIOWJElqTff8BL72ZmibBP/P1XDUc8qu6KA1eh8tSZKk4Xf71+HLr4epR8Ef/Z9RGbLAoCVJklpJJlz7MfjGH8Hs34ILroHpc8uu6ilz6FCSJLWG7k74zl/CrV+G55wLZ3+qJe/2fjAMWpIkqXw7NsPX/gDuuw5e9ndw+nta/h5ZQ2HQkiRJ5Xrk1/DVc4vbOLz+s3DSuWVXNGwMWpIkqTxrvg9ff3vxrMK3fgfmnlp2RcPKyfCSJGnkZcL1l8BXzoHpc2DpD8dcyAJ7tCRJ0kjr2lVMer/tq3D8a+H3/w0mTC27qqYY9qAVEScA7wJmAN/PzE8P1Dbc55UkSaPA1vXFpPcHfwEvu6iY+F4ZuwNsQ/rLIuLSiNgYEXf2a18cEXdHxJqIuAggM1dn5juBc4EXDdYmSZLGmXuvg2WnF5Pfz/sKvPw9YzpkwdDnaF0GLK5viIgqcAlwJrAQWBIRC2vbzgK+C6yo23+/NkmSNA70zcf6wlkwcTq84/twwmvLrmpEDCloZea1wOZ+zacAazJzbWZ2AlcAZ9f2X56ZZwJvrjvGfm31ImJpRKyMiJWbNm16Cn+KJElqObufgK+/Da75ezjuTHjHD2DmcWVXNWIamaM1C1hXt74eODUiTgdeD0yg1ns1UFt/mbkMWAawaNGibKAuSZLUCh6+C678A9i8Fs74EPz2n4+Jm5AejGGfDJ+ZPwJ+dKA2SZI0ht3yFfjuX8OEQ+Ct34Z5Ly67olI0ErQeAObUrc+utUmSpPGqczt8993FrRvmvQTe8Hk45MiyqypNI0HrJmBBRMynCFjnA28alqokSdLo89CdcNXbi18VvvRv4fSLoFItu6pSDfX2DpcD1wPHRcT6iLggM7uBC4FrgNXAlZm5qnmlSpKklpQJP/8sfPYVsGsr/OG34BX/MO5DFgyxRyszlwzSvgJv1yBJ0vi1/VFY/mdw93fhmWfA6z4NU2eWXVXL8BE8kiTpqfnND+A//wfs3Ay/+7/g1P8x5m9AerAMWpIk6eB07YTvfRBu/DTMPB7echUc9Zyyq2pJBi1JkjR0G26DbyyFTb+EU/4YzvggtE8qu6qWZdCSJEkH1tMF1/0L/PijMGUmvOUb8MzfKbuqlmfQkiRJT27javjPd8KGW+HEc+DVH4PJh5dd1ahg0JIkSQPr6YaffRJ+9JHiDu9v/AI8+3VlVzWqGLQkSdL+HroTll8ID94CC18Hr/5nb9vwFBi0JEnSXt274dp/hus+DpMOgzdeBs/+/bKrGrUMWpIkqXDf9fDtP4dHfgUnnQeLP+JcrAYZtCRJGu92boHvfQBuvgymzYU3/wcseGXZVY0JBi1JksarTLjjKrjmPbBjM7zwQnj530PHlLIrGzMMWpIkjUebfgUr/hruuRZmvaC4L9bRJ5Vd1Zhj0JIkaTzp3A7Xfgx+9inomAyv+Ti84G1QqZZd2Zhk0JIkaTzIhFXfgP/+n/D4A/C8N8MrP+gtG5ps2INWRLwOeA1wKPD5zPzvWvsU4MfABzLzO8N9XkmSNIiH7oCrL4L7rise/nzOpTD3tLKrGhcqQ9kpIi6NiI0RcWe/9sURcXdErImIiwAy85uZ+Q7gncB5dbv/HXDlcBUuSZIOYNsm+PZfwL+9FDbeVQwTLv2xIWsEDbVH6zLgU8AX+xoiogpcApwBrAduiojlmXlXbZf31rYTEWcAdwETh6dsSZI0qK5d8PN/K2482rUDTlkKp19U3IBUI2pIQSszr42Ief2aTwHWZOZagIi4Ajg7IlYDHwGuzsxf1PY9HZgCLAR2RsSKzOytP1hELAWWAsydO/ep/TWSJI1nffOwvvcBeOx+WPAqeNU/wsxnlV3ZuNXIHK1ZwLq69fXAqcCfAa8EpkXEMzPzM5n5DwAR8Tbgkf4hCyAzlwHLABYtWpQN1CVJ0vhz70/hv98LD/4CjjwR/uCb8IyXl13VuDfsk+Ez82Lg4kG2XTbc55MkaVx7eBV874Pw62vg0Fnwuk8Xj8/xdg0toZGg9QAwp259dq1NkiQ12+Z74If/C+74Okw8tLhVw6l/DO2Tyq5MdRoJWjcBCyJiPkXAOh9407BUJUmSBvb4g/Djf4JbvgSVNnjRu4rFhz+3pCEFrYi4nGJC+4yIWA+8PzM/HxEXAtcAVeDSzFzVtEolSRrPnngYrvsXWHkpZC88/63w0nfDoceUXZmexFB/dbhkkPYVwIphrUiSJO31xMPws4vhps9DTyc8bwm89G/gsHllV6Yh8BE8kiS1osc3FAFr5b9Dz254zrnwsr+FI55RdmU6CAYtSZJayZb7ioD1iy9Bb3fxC8KXvtuANUoZtCRJagUbfwk//QTcfiVEBZ73JnjxX8Lh88uuTA0waEmSVKZ1P4frPgF3fxfaJxe3aHjhhTBtVtmVaRgYtCRJGmm9vfC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MakeModelYearEngine DisplacementCylindersTransmissionDrivetrainVehicle ClassFuel TypeFuel Barrels/YearCity MPGHighway MPGCombined MPGCO2 Emission Grams/MileFuel Cost/Year
0AM GeneralDJ Po Vehicle 2WD19842.54.0Automatic 3-spd2-Wheel DriveSpecial Purpose Vehicle 2WDRegular19.388824181717522.7647061950
1AM GeneralFJ8c Post Office19844.26.0Automatic 3-spd2-Wheel DriveSpecial Purpose Vehicle 2WDRegular25.354615131313683.6153852550
2AM GeneralPost Office DJ5 2WD19852.54.0Automatic 3-spdRear-Wheel DriveSpecial Purpose Vehicle 2WDRegular20.600625161716555.4375002100
3AM GeneralPost Office DJ8 2WD19854.26.0Automatic 3-spdRear-Wheel DriveSpecial Purpose Vehicle 2WDRegular25.354615131313683.6153852550
4ASC IncorporatedGNX19873.86.0Automatic 4-spdRear-Wheel DriveMidsize CarsPremium20.600625142116555.4375002550
\n", + "
" + ], + "text/plain": [ + " Make Model Year Engine Displacement \\\n", + "0 AM General DJ Po Vehicle 2WD 1984 2.5 \n", + "1 AM General FJ8c Post Office 1984 4.2 \n", + "2 AM General Post Office DJ5 2WD 1985 2.5 \n", + "3 AM General Post Office DJ8 2WD 1985 4.2 \n", + "4 ASC Incorporated GNX 1987 3.8 \n", + "\n", + " Cylinders Transmission Drivetrain Vehicle Class \\\n", + "0 4.0 Automatic 3-spd 2-Wheel Drive Special Purpose Vehicle 2WD \n", + "1 6.0 Automatic 3-spd 2-Wheel Drive Special Purpose Vehicle 2WD \n", + "2 4.0 Automatic 3-spd Rear-Wheel Drive Special Purpose Vehicle 2WD \n", + "3 6.0 Automatic 3-spd Rear-Wheel Drive Special Purpose Vehicle 2WD \n", + "4 6.0 Automatic 4-spd Rear-Wheel Drive Midsize Cars \n", + "\n", + " Fuel Type Fuel Barrels/Year City MPG Highway MPG Combined MPG \\\n", + "0 Regular 19.388824 18 17 17 \n", + "1 Regular 25.354615 13 13 13 \n", + "2 Regular 20.600625 16 17 16 \n", + "3 Regular 25.354615 13 13 13 \n", + "4 Premium 20.600625 14 21 16 \n", + "\n", + " CO2 Emission Grams/Mile Fuel Cost/Year \n", + "0 522.764706 1950 \n", + "1 683.615385 2550 \n", + "2 555.437500 2100 \n", + "3 683.615385 2550 \n", + "4 555.437500 2550 " + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "vehicles = pd.read_csv('vehicles.csv')\n", + "vehicles.head()" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Scatter Plot\n", "\n", "Please provide a scatter plot between \"Combined MPG\" as X variable and \n", "\"Highway MPG\" as Y variable" - ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 42, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "x = vehicles['Combined MPG']\n", + "y = vehicles['Highway MPG']\n", + "\n", + "plt.style.use('ggplot')\n", + "plt.figure(figsize=(10, 5))\n", + "plt.scatter(x, y)\n", + "plt.show();" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Box Whisker Plot\n", "\n", "Please provide a box plot of the variable \"CO2 Emission Grams/mile\"" - ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 43, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "x = vehicles['CO2 Emission Grams/Mile']\n", + "plt.boxplot(x)\n", + "plt.show();" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Histogram\n", "\n", "Please provide a histogram of the Fuel Barrels/Year" - ] }, { "cell_type": "code", - + "execution_count": 47, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "x = vehicles['Fuel Barrels/Year']\n", + "\n", + "plt.hist(x, bins=10)\n", + "plt.show();" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Bar Chart\n", "\n", "Please provide a bar chart of the Fuel Type on the X axis and \"City MPG\" on the Y axis" - ] }, { "cell_type": "code", - + "execution_count": 49, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "x = vehicles['Fuel Type']\n", + "y = vehicles['City MPG']\n", + "\n", + "plt.bar(x,y)\n", + "plt.xticks(rotation='vertical')\n", + "plt.show();" ] }, { @@ -264,7 +577,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -278,8 +591,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" - + "version": "3.10.3" } }, "nbformat": 4, diff --git a/your-code/challenge-2.ipynb b/your-code/challenge-2.ipynb index 00d6b58..3730786 100644 --- a/your-code/challenge-2.ipynb +++ b/your-code/challenge-2.ipynb @@ -23,18 +23,16 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "# import libraries here\n", "import pandas as pd\n", - "'''\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", - "%matplotlib inline\n", - "'''" + "# %matplotlib inline" ] }, { @@ -48,9 +46,223 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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DateCalorie burnedStepsDistanceFloorsMinutes SedentaryMinutes Lightly ActiveMinutes Fairly ActiveMinutes Very ActiveActivity Calories...Distance_milesDaysDays_encodedWork_or_WeekendHours SleepSleep efficiencyYesterday_sleepYesterday_sleep_efficiencyMonthsMonths_encoded
02015-05-0819349050.6501.35546001680...0.403891Friday4.016.40000092.0863310.0000000.000000May5
12015-05-0936311892514.114611.00031661602248...8.767545Saturday5.007.56666792.4643586.40000092.086331May5
22015-05-1032041422810.571602.00022614771719...6.567891Sunday6.006.45000088.7614687.56666792.464358May5
32015-05-11267367565.028749.0001902349620...3.119282Monday0.015.18333388.8571436.45000088.761468May5
42015-05-1224955023.731876.000171007360...2.317714Tuesday1.016.78333382.8920575.18333388.857143May5
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5 rows × 24 columns

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" + ], + "text/plain": [ + " Date Calorie burned Steps Distance Floors Minutes Sedentary \\\n", + "0 2015-05-08 1934 905 0.65 0 1.355 \n", + "1 2015-05-09 3631 18925 14.11 4 611.000 \n", + "2 2015-05-10 3204 14228 10.57 1 602.000 \n", + "3 2015-05-11 2673 6756 5.02 8 749.000 \n", + "4 2015-05-12 2495 502 3.73 1 876.000 \n", + "\n", + " Minutes Lightly Active Minutes Fairly Active Minutes Very Active \\\n", + "0 46 0 0 \n", + "1 316 61 60 \n", + "2 226 14 77 \n", + "3 190 23 4 \n", + "4 171 0 0 \n", + "\n", + " Activity Calories ... Distance_miles Days Days_encoded \\\n", + "0 1680 ... 0.403891 Friday 4.0 \n", + "1 2248 ... 8.767545 Saturday 5.0 \n", + "2 1719 ... 6.567891 Sunday 6.0 \n", + "3 9620 ... 3.119282 Monday 0.0 \n", + "4 7360 ... 2.317714 Tuesday 1.0 \n", + "\n", + " Work_or_Weekend Hours Sleep Sleep efficiency Yesterday_sleep \\\n", + "0 1 6.400000 92.086331 0.000000 \n", + "1 0 7.566667 92.464358 6.400000 \n", + "2 0 6.450000 88.761468 7.566667 \n", + "3 1 5.183333 88.857143 6.450000 \n", + "4 1 6.783333 82.892057 5.183333 \n", + "\n", + " Yesterday_sleep_efficiency Months Months_encoded \n", + "0 0.000000 May 5 \n", + "1 92.086331 May 5 \n", + "2 92.464358 May 5 \n", + "3 88.761468 May 5 \n", + "4 88.857143 May 5 \n", + "\n", + "[5 rows x 24 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "fitbit=pd.read_csv('Fitbit2.csv')\n", "\n", @@ -82,11 +294,239 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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Months_encodedSteps
019892.064516
128922.866667
2310312.935484
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" + ], + "text/plain": [ + " Months_encoded Steps\n", + "0 1 9892.064516\n", + "1 2 8922.866667\n", + "2 3 10312.935484\n", + "3 4 13079.033333\n", + "4 5 10620.096774\n", + "5 6 12536.166667\n", + "6 7 9193.322581\n", + "7 8 11584.774194\n", + "8 9 9191.333333\n", + "9 10 8272.451613\n", + "10 11 9467.466667\n", + "11 12 8470.064516" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Driver 1 enter codes here\n", + "# df_semana = df.groupby('week', as_index=False).agg({'sale_usd': 'sum', \n", + "# 'bottles_sold': 'sum'})\n", + "\n", + "# steps = fitbit.groupby(['Months','Work_or_Weekend'], as_index=False).agg({'Steps':'mean'})\n", + "steps = fitbit.groupby(['Months_encoded'], as_index=False).agg({'Steps':'mean'})\n", + "steps\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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Work_or_WeekendSteps
0010064.238095
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" + ], + "text/plain": [ + " Work_or_Weekend Steps\n", + "0 0 10064.238095\n", + "1 1 10144.572519" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "active = fitbit.groupby(['Work_or_Weekend'], as_index=False).agg({'Steps':'mean'})\n", + "active" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# Driver 1 enter codes here\n" + "plt.style.use('ggplot')\n", + "plt.figure(figsize=(12, 4))\n", + "# plt.plot(steps['Months_encoded'],steps['Steps'],linestyle='dashed')\n", + "plt.scatter(active['Work_or_Weekend'],active['Steps'])\n", + "plt.xticks(ticks=[i for i in range(0,2)], labels=['Weekend', 'Work'])\n", + "plt.show();" ] }, { @@ -104,17 +544,135 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 32, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 367 entries, 0 to 366\n", + "Data columns (total 24 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 Date 367 non-null object \n", + " 1 Calorie burned 367 non-null int64 \n", + " 2 Steps 367 non-null int64 \n", + " 3 Distance 367 non-null float64\n", + " 4 Floors 367 non-null int64 \n", + " 5 Minutes Sedentary 367 non-null float64\n", + " 6 Minutes Lightly Active 367 non-null int64 \n", + " 7 Minutes Fairly Active 367 non-null int64 \n", + " 8 Minutes Very Active 367 non-null int64 \n", + " 9 Activity Calories 367 non-null int64 \n", + " 10 MinutesOfSleep 367 non-null int64 \n", + " 11 MinutesOfBeingAwake 367 non-null int64 \n", + " 12 NumberOfAwakings 367 non-null int64 \n", + " 13 LengthOfRestInMinutes 367 non-null int64 \n", + " 14 Distance_miles 367 non-null float64\n", + " 15 Days 367 non-null object \n", + " 16 Days_encoded 367 non-null float64\n", + " 17 Work_or_Weekend 367 non-null int64 \n", + " 18 Hours Sleep 367 non-null float64\n", + " 19 Sleep efficiency 367 non-null float64\n", + " 20 Yesterday_sleep 367 non-null float64\n", + " 21 Yesterday_sleep_efficiency 367 non-null float64\n", + " 22 Months 367 non-null object \n", + " 23 Months_encoded 367 non-null int64 \n", + "dtypes: float64(8), int64(13), object(3)\n", + "memory usage: 68.9+ KB\n" + ] + } + ], + "source": [ + "fitbit.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Date', 'Calorie burned', 'Steps', 'Distance', 'Floors',\n", + " 'Minutes Sedentary', 'Minutes Lightly Active', 'Minutes Fairly Active',\n", + " 'Minutes Very Active', 'Activity Calories', 'MinutesOfSleep',\n", + " 'MinutesOfBeingAwake', 'NumberOfAwakings', 'LengthOfRestInMinutes',\n", + " 'Distance_miles', 'Days', 'Days_encoded', 'Work_or_Weekend',\n", + " 'Hours Sleep', 'Sleep efficiency', 'Yesterday_sleep',\n", + " 'Yesterday_sleep_efficiency', 'Months', 'Months_encoded'],\n", + " dtype='object')" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "fitbit.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Ez/eF8Fs8vooV0Qy4keOBvM+A4GCgzbwzC9ou3cCqtIfF2cRqKyDZqgq+/oxEQSP6zBrq+Ro23tZeVNDK/AkSLApgkpLBnbcPLWZ8QOUm/Ad3rmLF/A22mgE3cjzwTq51eWNtEHDLEMQ++WfUBYW43BcAsiZWJWYtp9mQBTRBwQJjCY4Xh0r9OGqkuPEnSLAooZOtPgg34aa/I6cTs8Xkalz3N2uhAgDGdgBAUHIKoFI1RVkTqxITobNsyLDWasSeUfvL6wARYaqGTywQHfVCkGBRgOWPJKipAe2UK4xQgNtWsXImZpU2+0pZyVtOrKbjjQLHKzERWj3LkiKgod7uGCtNUOQZNX20EXh4nvBNOllklyuQYFGI6Uei74Q1sgn5iE287ljFusN340hwyF3JOzteqYnQ9CwFU93YaIJiz8JoEP8td7bILlcgwUIQbsbTobCyJua0fkDxQeH2DhxurATA5bwA1FRan+9oJe9s5a9yLRchDUrsGWn1CRDLn9HZIrtcgQQLQbgbT5tQZEzMzANzwF08b51UVZ8I5oE51z+LhfJu3QSU/WIvVDqQu8I3tXuklovIM4qc8TjqZJ5DvlV7SLAQhJvxtAlFzsSsSUwGu2iFw2NF+3nulKAvw4TYSl7Kyt/djm6xZ+QoYMHXI7t8KfMACRaCcDPeMKEITcxK/TxOQ3mF0CeKr+R9ZOWvRHj5amSXr2UeIMFCEO7GCxOprRDhRo7n663ImHjaK8rAblkLruwXAAys9uZrtEC3G4CTx4Q74CBvnjdX/r60qlcVH4tYI8FCEG5GrYlU6qQouHq1rQwJOJx42KoK1K1+CdzlSyKdMQKhYXa79c3UG8DlLrUTXLZjYP7gmUJipnv70qpeTXwtYo0EC0F4AFdNKLImRaHVq61Q6cB24jFP/CVFMDrwnwDgE1T2HywcVQbYCS7BMRwugHHAYDAPzHH/5O5jq3o18bWINZcKiFy6dAkHDx6EwUBx3AThDFP+K+Nrz4PdlMNP4lKRkfJezirVcuIxTfzcgXyHTnnLc5kH5vC580Sw6ovQGNrbgOKDvHYj53kowNdW9aoyeSZvXrXEixFrkjWWjRs3AgAef/xxAEBBQQHWrl0LlmURFhaGv/zlL+jXr5+jSxBEp8VVM4ycSVHU2R4aZq252E48zkodW2J5LsOIHmYpuBxO4Ao1Bzk+E19b1auJr0WsSRYsRUVFePDBB82ft27dijvuuAMPPfQQ3nnnHWzduhVLly51eI0NGzbgyJEjiImJQU5ODgBg27Zt2LVrF6KjowEAM2bMwJAhQwAAO3bswO7du6HRaPDII48gIyPD3JfNmzeDZVncddddmDJlCgCgsrISq1atQkNDA9LS0pCdnY2gILL2ET6Ai2YYWZOiWLDArGww+74FV1kOXKkDdDHAZx+CdVLJ0UxoGJCSCiap6/WklptyrPfAWGIjuJxFl8nVHGQLax+JRnMXvhSxJnnWra+vR3x8PACgvLwcFRUVePbZZxEbG4usrCzk5uY6vcaYMWMwYcIErF+/3qr93nvvxaRJk6zafv31VxQUFOD1119HbW0tli9fjtWrVwMA3n77bbzwwguIj4/HkiVLkJmZie7du+ODDz7AvffeizvuuAMbN27E7t27MX78eKlDJAi34bIZRsak6Gj1ysYnArlL+U2NNZV8lm4nlRwRFQNGpKaJaP+jYsDYTvDOEkXKLYMsU1j72qo+kJEsWHQ6Herrebvr8ePHERsbi9TUVAAAx3FgWbFECNfp378/KiuFd+naUlhYiBEjRiA4OBhJSUlITk5GaWkpACA5ORldunQBAIwYMQKFhYXo1q0bTpw4gaeffhoAL8Q++eQTEiyET+CqGUbupCiW8BHVl0XTr3AjxwOF+/iIL/OFtMDjf4bmpoHyxtU/QzAJJbvgZX7H/k+H7UOSL54HW1UheaJXmqzSV1b1gYxkwTJ48GBs3boVdXV1+Pe//43bb7/d/N3FixeRlJSkuBPffPMN9u7di7S0NMyaNQs6nQ4GgwF9+vQxH6PX681BAibNyfTvM2fOoKGhAREREdBqtXbHC5GXl4e8vDwAwMqVK5HgpA6DLe0VZWj6aCNqa6sRHJeAyBmP87t2OwFBQUGyn5e/4+qY22dno+5CKYwW4bvaLt0QOzsbQVKvm5CAlvbpaFi3HOzF89CcPwXdvBcRNnCw+H0rylC3+iWr+woR1NQAbWE+WlibyZ41IqwwHzEjx6ozroQEYNkq1L7yP2gt/I/1d4YqhH69HTELljnsq4n6Ll3Rcuq4XXtYl66IUfiuhN6z6bduNFRDqw+837o7fs+SBcusWbOwZcsWfPfdd7j55psxffp083cHDx7EoEGDFHVg/PjxmDZtGgDeb/Pee+9h7ty5iq4lh6ysLGRlZZk/y8lQLJQ9teXnY/aqf4CS0AkzOrs85qAQsE//FYyFxsFOnskX0pJ4XePJ40Dui0CHdYC92oj6pU+h/qZ0MLPmCe9p2bJWfC+KBe2RUWi7XC74Xcvlclz7+SdhbcnJuMSc68YrdaL3apP4PNgJ04Cfj9mZB69NmKb4Xdm+Z9vfehsC77fuyt92SoqwgJUsWCIiIkQn/JdffllRpwAgNjbW/O+77roLf//73wHwGkdNzfXyvwaDAXo9bzawbK+pqYFer0dUVBSuXr0Ko9EIrVZrdbzqBHA8POE+XDbDvP26WahYcfKY4GZEQKIPp8NXw3z2obCPJSzcoZNcbFyCzvWDe2HURQuPAwCqL8P42vOCqfmlVMRU3WdCv3VFyA6ZampqwsWLF1FbW4u4uDj06NEDkZGRijtgug7Aaz49evQAAGRmZmLNmjWYOHEiamtrUV5ejt69e4PjOJSXl6OyshJ6vR4FBQWYP38+GIbBgAEDsH//ftxxxx3Ys2cPMjMzFffLEQEdD0/4LiKrfACik52oQz4+CUjoYj1JCznXQ8OAa9ecTq6CZX6FJmWOE98jo9FeDyoAzMKLq6kC1i03h0o7qoipNvRbV4ZkwWI0GvHRRx/hm2++QWtrq7k9JCQE99xzD37/+987De1dtWoVSkpK0NDQgCeffBLTp0/HiRMncOHCBTAMg8TERPM+mR49euD222/HwoULodFo8Nhjj0Gj4fdzPvroo1ixYgVYlsXYsWPNwmjmzJlYtWoVPv74Y/Ts2RPjxo2T/UCkEMjx8IQPo9FYO9Zt4OoMwjnCBKLJhEw5msRkGGdlW03iuNYCnP5J+H6VvOlMLOwXuhhp44qKAUJCBYMKuK2b+HxkMtLRqAn91pUhWbC8++672LVrF+6//34MHz4cMTExqK+vx4EDB/Cvf/0Lra2tePTRRx1e45lnnrFrczT5T506FVOnTrVrHzJkiHmviyVdunTBq6++6nwwrhLg8fCEj9L7ZvGkj4CwyepwAdC7P5CSCrQ0O99EuO9bcLaTuJgw69CguK2bhDUaCZGiAPi+AcJ1Xc7+LDkdjTsQi5TjRlK0qSMkC5b//Oc/mDFjBiZOnGhu0+l0mDp1KoKDg/Hpp586FSyBAtW8J7wBM2seuJV/FjaJmf72hFKmnCy201LEfBYmLUQSMXH8dU4cFf4+OhZovCIqGMzj6lj9C5rsGhucnudOmH3fghOIlGP2fQuIhGD7Et7K5ixZsDAMg+7duwt+ZzJFdSao5j3haTSJyWAX/4OfKEy752PiwHRoy9y7a8VPtjAdOSw17MiPYwOTmMxfs10guzEAJqkruKl/AHKeF79IUPB1TV8oA7MYoWEesRD4s49F8D0fKYCxv/uTfkoWLKNGjcLu3bvNaVUs2bVrF+688041++XzmFYChqYGsKSxEAK4Y7XoyFnNSk2Z4ijSKTpOtNSwFc6EWTAvMLSJyTDOeRbYlCN8XEeeMU1iMowpqcD5087vHRoGzHvRI783v/axCL3nto6kn2W/uLVcgGTBkpCQgAMHDmDhwoXIzMxEdHQ0rly5gsLCQrS0tGDixIn45ptvAPDaTSDveLdcCZjXagFS14FQB0/U/pDkqLfAbHJysApnkpL5NC+OiE8ym9VEhVn/weZxaoePhhEQFi5treBefQ5s/wzedOaI8Egw6ZmeXcT5sT/VHUk/pSJZsLz//vvmf1+6ZL/h6r333rP6HMiChWLbCafI+BtRotmIRmLNygbyPgNKjloX4LKYDB2uwp3l87KNKBOZeJkH5lidph0+GsZdnwtrJA31fKp+fSKfgr9W2LTMpGdCo+D35Yrm6M/5xdRO+ikHyYJl69atbuuEv8FVCv/oODfXkyD8B6m2ecWajYjgYvZ9C828FxxPpg5W4baBKW3ajilCJKJMzsTLJHUF58jUZagCBg0DUtPsBWNwMLiWZlm5xADHzxeA/d4bgdQmfptfzMkiwZ3mPMopr4QrtcLt9SLthF/DVlWg/v11MF4ul7xilWybV6j9OhNctpOhqciYeRI1pdAXEAZyA1MkT7zOtCEAaGmGdtEKXiBs3cRHnLW3KfcNiDxfbusmoOwXO4HT/vI6IChE2rVt8FYElhhWST9Nz9GEm815sgRLfX09Pv/8c5w7dw41NTVYtGgRevTogf/7v/9D79690bdvX3f107eIjhV2cDqzERN+h2nF2yJXo5Bom1cadSTHqSxqNlvwMrRunvjsJluTQCspEtyBb+q/JjEZbFg4ONuIM5kmZzHrAs6dsr9/VQWaPtoIPDxP0rUt8YRPTQmaxGTAmQbrBiQLltLSUixfvhzR0dHo378/Tpw4gbYOVbW2thaff/45nn3WD9VFBYip9ExSVy/0hnArCjUKqSYixVFHcpzKbvAJSpmoHAk0ZvJMu0Sutv13JdTXrPFckBBlZoHRIJ440yE+7nf1tDlP1s77AQMGYNGiReA4Dnv27DF/17t3b+zbt88d/fNNJs8ETp+wdjLGJfhFpAghD1cmN0k/ZoVRR3J8G2KbHpU6byWvzh1Mtpo5zzrtvyOh62jyF8o+bkVoGJDWDyg+aH/t8EhFmoc/73dxB5IFy7lz5/DnP/8ZGo3GrqhXVFQUrly5onrnfBpbFV1kkxjh37h7H4MrUUdSBBdbVcH7EoSQW7HRhJjfYsWzYG8Zcn0Xv0w/kB0iQpcbOZ6vgik2+Qv1z5KUVDAPzAFn4WMxXRvgRH0ybFi4IiHYGZGVNl9MeFy+fBkxMRITzgUA3Hvr7e2zDfV8+7PLvdMpwj14YB+D2mYKy9U8qi+L72YXqdjobPOv6Cq8qYEPG3ZS6lhsshXSQhgBoYvPPrSPwLQwOzn1TyV1FRXo3P/3hvBJJ46a/T2CWowP73fxRlCBZMGSmZmJbdu2oW/fvkhMTATAb4S8cuUKPv/8cwwbNsxtnfQ5zpyQ1074LaYJKPTr7WixiAoDYB1l5SN7G5yagSwxVNn5AMQ2/xotoshQfdnxdU2TvIPJ1jzZVVbwUZbhEfxxNqnxmQUvX68VU2fg/3/pv4K3NQkUh/s3LCZ7IYGu1SdA0PbgJIjAV/e7eCuoQLJgmTlzJpYvX46FCxciLS0NAPDWW2+hoqICSUlJeOCBB9zWSZ/D2C6vnfBrNInJiFmwzFzZ0FcjgAA4NwPZYLe6F/OLrFtun/XYyXW1IpMtAGnCTywsWASzJiQk0IKCgQHOc2RFzngcLbZVKYODrffUWIzREktBZRKcRhWFjD8FFUgWLDqdDitWrMDevXtx/PhxhIaGQqfTYdy4cRg9ejSCg4Pd1kmC8Cl8OAJIrrPY1iwler4MoWJ5XSGtgN2UI134lf4MNIlnODZjkZTSFe0hKDnFzvzGtTQLO/odmPTUXngovaa3ggpk7WMJCgrCuHHj3FZAy2/QBgNGAYVZS8K1M+DLEUCiZqDYeD6FvZNNcs7SgFgRFCwctOLEtyDrObU0Szuu2w12GQGUCnmhzaWCjn6xMbpj4aHwmt4KKpAsWB544AGsWLECvXv3tvvu3LlzWLJkSedJ+6JhAKHaRxrG410hPI+nfqyKTB9iubtEUpjYXU/ofIbhSwrbMmAwmLBwPpzZUM0vthjN9cJdlmMw+VKiY2Wl5he8rxBRzoOHlDqx5WpA7lh4KL6ml4IKVEnp0t7eDq1Wq8al/ANGRIAwGs/2g/AOHvixKjV9CE2C3Mjx16PEwsL5SpMdjnBWJPcXt3UTUFIEtLUKT+4diSY1ickWfe2Y5DpSrxhnZQPvrbV+TqaMFRqtwzLLZsIjgIhI56az0p9hXPc30Zxmrpqn5GhA7lh4SLmmmOD0RlCBQ8FSXV2NysrrqUvOnz9vVe8eANra2pCfn4+kpCT39NCvkGxEIPwYuT9WTztd7ZzIuUsFE6SKTa7mdCptrXbnCDrBxfq6ZbV4bRfWCMQnATFxvLZzpU5Y0PS+md9zkvOC4zoxTQ1mP4jguCQ+z/aKMrBb1ro2Cbuw8BD9W3FyTaeC08O+P4eC5fvvv8f27dvNnzdt2iR4XEhICJ544gl1e+bLJKUAv54Xbic6BVJ/rF53ujqLEhMRVqL3aW+z23ApeuzVJsd9S+gC5g/Z/PMREir6xOta0bN/kx5GDdiNS8rzZKsqULf6JXCX+bIgSp3uSrUEZ38rDq/pYwElDgXLPffcg9tuuw0cx+G5555DdnY2brjhBusLBAUhISGhU0WFMd1SwQkIFqZbqsDRRKfGy05XKYLIdnLFZx+K79YH7Pov6vCPiASaxYULE6sXF3whobw289mHMI4cz9eY18XwGcRbrzkdk+24JD3Pzz6E8bJNrSmFk7MiLcHJ34qja/paQIlDwRIdHY3o6GgAwLp16xAXF4egIMq078u7bAnfwttOVylRXqbJVc7mSqv+i/VVyMdi+b2j0sat14Dzp/lkr4X7wFlqNBoNYJNWytG4HPZRpaSXauDK/X0tpYxkKWHabQ8A165dw+7du3Hp0iXExsZi9OjRVt8HOrbFkNqp5j0hgtIfvGpOVwkVIc2Tq4zNlXb9T0m9Hhqc1u+6Ccs0hqoKXtuIjuWzgJscy1LCm23NZCwrHqkmNC4nfbQckzcnZ5fu72OLXYeC5b333sPhw4exevVqc1tzczOWLFmC8vJy6HQ6XL16FV988QVeeeUVpKSQj4EgrHDhB6+G09VWQJkTTwpET4mujG33q1ikZREsIlX2C7hzp2DMeYH3s0REArOfhvamgeZDzIXHKsv5zY0yN2CKCpWgYD6SzCbk2U4TEzL1TZ4J7YVSa3OYJydnF/9WfCmlDMNx4mL/f/7nfzB06FBMmzbN3LZt2zb861//whNPPIFx48bhypUrWL58OVJTU5Gdne2RTruDsrIyyceyVRXg/vcvdmnzmede6RRaS4LEyoKBhCtj9rXKgmKwm3L4JJK2DBrG71dRkpbFDAPMWQjt8NHCE31oGNDtBl6rcRT95QjbEGbT/p3PPhQcFzN8NDQ2gju2vRUGV6PCXMAbfyuu/G2LKRMONZbKykpzXjATBw4cQPfu3c2776Ojo/G73/0O27ZtU9Qxf4TbuslaqABAbTXfPu8F73SK8Fn8pma62OZKgfxastKyAAA44J1csGn9hE1u11r4TY5RHQ56qWUoomJ47aT6sr1AsszyLNQjgaCFK00NQGQUmD9kS5rQ1RYEfvO34gSHgoVlWator8bGRvz666+45557rI5LTExEXV2dWzrok5w7Ja+dIPwAW3NKWJeuuDZhmnDxMCUObZblF19iv5OSo9bJHoODgR5pwPkzACfsrGf6Z0Az51kYX3teUNMxbxIVOlcgaMEyo7OzMGOfTkbqZRwKlq5du+LEiRMYOJC3jR4+fBgAkJGRYXVcfX09dDqde3roixhFdgyLtROEG1Fz1Wy5Yo5xYCKRlVPMElt/jCW2GYTb2oBfL4gKFUv/g0Ph4cx3oXQPiI/tHfElHAqWCRMm4M0338TVq1cRGxuLr776CklJSUhPT7c67tixY+jRo4fTm23YsAFHjhxBTEwMcnJyAPBaUG5uLqqqqpCYmIgFCxZAp9OB4zhs3rwZR48eRWhoKObOnWs2y+3ZsweffvopAGDq1KkYM2YMAD5n2fr169Ha2orBgwfjkUceASOWfsUVQkKBq43C7QThQby2anYWbSaGmFARi/ISSFcPANBowTgrtAUG3MnjwMiq674WU3SaLhroSGkjaipzMDa2qgJcSZHweT6QjNTbOExuNWbMGEyfPh0HDx7Ejh07kJKSgueee85qL8uVK1dQWFiIoUOHOr3ZmDFj8Je//MWqbefOnRg4cCDWrFmDgQMHYufOnQCAo0ePoqKiAmvWrMHjjz9u3vXf2NiI7du345VXXsErr7yC7du3o7GRn+TfeustPPHEE1izZg0qKipQVFQk51lIJy5BuF0v0k4Q7sLRqrkDUwSW8bXnwW7K4TUcF9F0OMaZ4aOBfgP5/w9yUuzP0SZqsRgisXPi4u3S0DALXgZuGmR5UaDeAOS8AO7cKV74NNTzJrPzp8EdyOeFsliJ5kv/FXxWZmFuW0W2g85ajtgSp/tY7rvvPtx3332i30dHR+Ott96SdLP+/ftb5R4DgMLCQixbtgwAMHr0aCxbtgwPPfQQDh06hFGjRoFhGPTt2xdNTU2ora3FiRMnkJ6ebja9paeno6ioCAMGDEBzczP69u0LABg1ahQKCwsxePBgSX2TRbRIJlUJGVYJwhVszV5cpbCQMK2a3anR2DqajSePAyePWYcOd0R7MYnJonVNRDGZq95ZZR3tpdECs58W7I+xqlzgQnzgADcwU1gIp6QKhzxfaxE2azna7+PDG6U9GXHm9W309fX1iIuLAwDExsaivp5fBRgMBiQkXNcA4uPjYTAYYDAYEB8fb27X6/WC7abjxcjLy0NeXh4AYOXKlVb3ckZ1y1XBrPnalquyruOvmNL4dCZ8YcztFWWoW/2SeZ8FB/BhwALHamqroFm9DFxlmWB9+NCvtyNmwTKH95Mz5vaKMtR9sAFGi8mZCQtH9F9eQ9jAwdePWfa0fdoUC5iYOAT16AmtPgGRMx5HUHIKWlLT0LBuOdjGRmh0OkTNe9F8TVsuN18VvjDLgrlwRvBZBRvbwab2glGgtHhQUwP0Ns/A0NQgWL6YiYmD/uV1CEr2vf18Qn872guliF222i1/214XLJYwDOMen4gAWVlZyMrKMn+WE8dtLD0p2t4Z9nfQPhbvwG5Za06QaIJrabZfbWu0YCsrwIpoMwDQcvGCudSyGHLGLNa3K19uQ2PXDv9rUAjYp//K160vKRI2Jd2UDnbOs2AB1AFAdTXQtQeYFRthKszRCKCxulpwBS7q/wTAiaSBaY+MAiKjRL+zfQasyLG4KR11QSF8n30MofdjvHwJhi1rkbT4Vc/uY/EEMTExqK2tRVxcHGpra825yfR6vdVga2pqoNfrodfrUVJSYm43GAzo378/9Ho9ampq7I53C1TznvACok7hlFQwSV3574X2cwhR9gvYqgrVTCFS81yZzGfGA/nAphzrgzVavnaMBMRMfNAnAnU1wiel9eN33ItFhzlJS2+VvUCfCBiqhK/jg3g6D5rXK1NlZmYiP5/fFZufn28OAsjMzMTevXvBcRxOnz6NiIgIxMXFISMjA8XFxWhsbERjYyOKi4uRkZGBuLg4hIeH4/Tp0+A4Dnv37kVmZqY3h0YQqmByvotlHGaSukIz51loF60AErpIu6jJf+DgfoYX50l29os5rIXa2aoK4P31Ajc28lmMpSAWtCDoYwGADkvIrGw+yMC0GbMj9YvJ+R82arw5GMEUdWYSYtyBfODUcd5PxHH8dWyO9VXkvB818KjGsmrVKpSUlKChoQFPPvkkpk+fjilTpiA3Nxe7d+82hxsDwODBg3HkyBHMnz8fISEhmDt3LgBAp9Ph/vvvx5IlSwAA06ZNMzvy58yZgw0bNqC1tRUZGRnucdwThAdxmnHYZqUsZ3+J0GpV6WZBWXmuPvtQNDeY1BW06HFie17A8QLh52LesmDac9ZR7dI0vpgFy+xNhEJCrLYaTN8B0PhLpg0PJ6n0qGB55plnBNuXLl1q18YwDObMmSN4/Lhx48wpZSzp1auXeX+MW9EGCZu9tF63LBKBhlgEUlQMmP4Z9pE9QhOISJJHwdWqwk1/cpIgOhIeUlfQogL0mpNaLUK1XDqSabJh4TA0NfA+FAnJOf1pv4qnk1TSTKiEPgOAk8XC7QShIo78KrYJFAEHNe9t66KIrFZdmUSl5rkSFQqhYdJX0DIEqCRKjoJra7uupRUdgDElFYiOBcovCp8jtv/FR/FkHjISLEq4dzpva7VUuxkN304QKqKkRofQBCJ1tequmiR2zu+4BOtEriGhQM++4N5dC1bCalqTmAzjrGxgy+rrqfnDI/gUMEqw3eF/rQU4f1rZtXwIb2XWJsGiAGbft+BsbbkcyzseLWpOEITLqGQbl7xadYMtXtBPpE/knd8tzbyg+eUcv7kSwps47TaGmrQwUwRccxOvsXgSU9EwF3DnxO/NJJkkWBQguttZhVQZBGGJp23jbqmOKuS3MVSB6dMfmnkv8HVgbMtQWPh1BCfIwv/Ylye+1mJvDotLAFLT+D0zF84IlzSOjRcPUXaAVC1OTHi4feL3YpJMEixKqBYRICRYCDfg6RodpvvpVdoU6sxv49SvIzRBitW8N6WPqSwHrtQB0XFgwsKBB+bw+cLeybU+NzGZD0G29UE5Q6IW50h4uHvi92bQAQkWJYgknxNtJ4hOjDO/jbPv5UyEjGnCz13Km8lqKsGdPwWcKeH3nlgKldAwYFY2tDcNtPDXNPIaj5jgAngNZ5a0QmCOhIe7J353+cuk4PUNkgRBBDbcyPH2/g/LFf/kmfxnke8lT4Smc0RMb3ZVX6+1gNn3LW+qeieXF0TNV3mhEhzC79QfNAy4Kd06y3JdDfDeWkkbRx0JD7dvWnTyXN0JaSwEQaiKVQQYw/DBAJb7Rzo0BYAvcczVGfgd8CmpQEuzvR9JSu2X+CTz7nejjBU/V2cAhEqNt7UCUTHQmnxAtlFjEk1WoqHVYeFu37Toaf+cJSRYCKIT4q5oJKeZAgDe1JT3GTiBvF1CqVGsJsjKcj61jW1q/uhYc+EuOdkHmFi9aMEuUwlll0xWk2cCp0/YC66L5/n7u3ni97R/zgQJFoLoZKgZjWQXBtzSLM0Jfu6UvU/SgRZgOUGa71lVAVz6r3nPCXf+NH/dWdn2moA+kfexWE7woWG8oBJLtd+BK74KTWIyjKlp9oLFUAV89iG/yTUAyxiTYFFCeCQfNy/UThC+jkrRSIICKshBlUgJcCVFTrMum4QMuymHj/SypKqC308moAkAEBRIoqT14//vqslKZL+LP6WEkQs575VwQy957QThQ6gWjSQkoMRq2lsSGnZ90raloR5c7lKXHeOaxGRzxmfNnGf5zx1tTGKy89QvGg2QNZn/p00ZZtyUDrS1gVu+AMbFc/jKmQ7wdGZhX4AEiyLEipF5pkgZQbiClImOrapAfe4yGF97XjR1vqggclTbPjQMmPcimAfm2EcsmTBpT05QOmFLEqAsa5XC3ySUMPH3vM+kroa3WtRUArlLHQsXidFZpnIFjp65v0CmMCVcPCevnSBcQHVHuxPTjsnE1eLEByPqJO8/mC+ZbMoLBghGe7ELXga34lmgqcHuEpId4wpMVFKd+4J92LIaYG0Kk7NGvn3lJsHrSInO8mb6FXdAgkUJYjmCVMgdRBCWuGPCcTrRSfXBiEzszANzpPdNxHQm1TGuKJxWSviyWB+uCvhWHbVb9NWh/8qL6VfcAQkWJYjtynW0W5cglKCio91uAhY5X06ZYZf2SYgV/HKSPl9oLEzH9aRkR7btN8LC+fBfKaWGI0QCdyJcC9wJhJovlpBgURNysRAqo8aEI1frkRNeK3efhNXmSZFSy+h2g6hQEByLKV1LR0ivFK3Ott+mfjlNvDn7aT5djKU5TKMFZj/tksnS4UZKP4QEixIYBsJ/BSRZCHVRJd+TE61HMCW9G3aES9o8iY58XxDWTETTtdgiU6uTmnhTe9NAGBe8DLz9Op/kUqMBet8MAK6ZLB1spHQWfu2LkGBRQkgo0CKwqSok1PN9IQIbFdJ+ONJ6xLQZzMpGWGE+Wi6Xq7cjXKzMsiUdYxPtly5G8u2Exq1GIAQTnwguOJjXWlgjX0fm/Gl7s54M4eZsI6W/+VlIsCghJEREsIR4vi9EQKNGvieHWo+INsPs+xYxi19Fmwpp802Imu+CgvmkjxGR5qzB7KYcYS1Lhh/TVqtTLRBC6JmJ7IuR5SMJoI2UJFiUYJuQzlk7QbiAy/meHGg93LtrBU+RMpnJXf2L+hHa2/j/mpv4rMELXha/f3Qsb35ypvkIBQAoCIQQGqOsNP4yTJbeTHOvNiRYlNDWKq+dILyII62HVTiZKVn9cyPHA4X77PeBWNIxkYtOskldgT8usg4AEKqDJBAAIGoSFBFSoua4lFTx/lviJLrNDjdnO/YkJFiUEBIqHH9PPhbCRxHVepROZgpW/8y+b8E5EiodcHUGMH8QSCTZ0S+rhJSbcsAdyLe/l4xoN1z6r7CDXGyMKal8X5xpTSmpskxs3kxzrzYkWJTQpz9QfFC4nSC8iFzzlNLJTEkYtFQTEhOrl94vOYJx8kyg6IC9P+RaC7itm8CGhcPQ1AC2I9xYtL8tzVbp7lF9mU/tYjuOpK6SxmuJt9Lcqw0JFgUwD8zhU3RfqbveGB3L5z8iCC+h1DmtZDJT4g+QlErFQihI6ZdswciIpEcsOQqurQ1mO4QDk5dJ8Fmm8bcLo1YpPNtftRcSLIqx3bNCe1gIL+PJtCBKTGhC54SE8pmOOU7x5ClFALFVFeBee144mhOwD7wRM3kJjNEdJix/zx1GgkUB3NZNwJVa68YrtXz7vBe80ymi0+PJtCBKJlNNYjKMs7KBdcuvm6NarwE1lYKVI1Xlsw+FN1ICHRueBXQpG5OXozGqbsLy89xhJFiUYFtcyFk7QXgAT4erKjKh7fsWnAsbCZXiULhG6AQzLNuavDyJv+cO8xnB8tRTTyEsLAwajQZarRYrV65EY2MjcnNzUVVVhcTERCxYsAA6nQ4cx2Hz5s04evQoQkNDMXfuXKSlpQEA9uzZg08//RQAMHXqVIwZM0b9zlISSsIX8YNwVW9NmA79O71v5sOWVXhuavlF/H1Pi88IFgD461//iujoaPPnnTt3YuDAgZgyZQp27tyJnTt34qGHHsLRo0dRUVGBNWvW4MyZM9i0aRNeeeUVNDY2Yvv27Vi5ciUAYPHixcjMzIROp1O3o8EiO+zF2gnCA/hDuKrXJszJM/lklbbmsLiE60E3UpJQOkBVv4gfLBIc4dMVJAsLCzF69GgAwOjRo1FYWAgAOHToEEaNGgWGYdC3b180NTWhtrYWRUVFSE9Ph06ng06nQ3p6OoqKitTvWFy8vHaC8BBCJXl9ConVFNVGk5gMZtEKYNAwICqG/2/QMDDPvWJVtli/fJ3y5+bIL6KkvxblkJnho93vh1IRn9JYVqxYAQC4++67kZWVhfr6esTFxQEAYmNjUV/P77A1GAxISEgwnxcfHw+DwQCDwYD4+OuTu16vh8GgvorNJHXlw40F2gmCEMebWpUmMdmtwTVSzXxSzWX+vKfFZwTL8uXLodfrUV9fj7/97W9ISUmx+p5hGDCMeiG9eXl5yMvLAwCsXLnSSlA5o312NgylP4Oz2BTFxCdBPzsbQTKu468EBQXJel6BAI1ZRRISgJtfVf+6KuDKmOu7dEXLqeN27WFduiKm45rtFWWoW/0SjJcvAeDNZdoLpYhdthpBySl253oCd7xnnxEsej1vY42JicHQoUNRWlqKmJgY1NbWIi4uDrW1tWb/i16vt6qZUFNTA71eD71ej5KSEnO7wWBA//7Cu+GzsrKQlZVl/uyoBoMtbK0BnE14IsdxMNQaoAkKfD9LgpOaFYEIjblz4MqY2QnTgJ+P2flFrk2YZr4mu2UtuA6hYsJ4+RIMW9aKVvR0N66M2VYBMOETPpaWlhY0Nzeb/33s2DGkpqYiMzMT+fl8HqD8/HwMHToUAJCZmYm9e/eC4zicPn0aERERiIuLQ0ZGBoqLi9HY2IjGxkYUFxcjIyND/Q4LxcSb6iYQBNEpkeIX8fcwYqn4hMZSX1+P1157DQBgNBoxcuRIZGRkoFevXsjNzcXu3bvN4cYAMHjwYBw5cgTz589HSEgI5s6dCwDQ6XS4//77sWTJEgDAtGnT1I8IQ+f54yAIQh7O/CL+HkYsFYaztel0UsrKyiQfK5pRdfhor6mznoRMJJ0DGrP6iOUV82bEV8CawvwNbuR4vtiQJRoN304QBCGCJjEZmJUNxCcB4ZH8/zuqZgYSPmEK8zvyPrPfZc+yfPtNA73TJ4IgfB62qgJ4b+31NPsWVTM9KVwsQ57ru3QFO2GaqvcnjUUJlCuMIAglqLiJUikmcxx3IB84dRwte78Fl7uUFzYqQYKFIAjCQ/hE4I8HhBsJFiWk9ZPXThAEAfHoL09GhXlCuJFgUULWZEHnPbIme6c/BEH4B17KlWaJJ4QbCRYFMPu+FXTeM/u+9U6HCILwC3wiuaQHhBtFhSmAqyyX1U4QBGHC28klbROBhnXpimsqR4WRYFHClTp57QRBED6EpXCLccOmUDKFKSE6Trg9RqSdIAiiE0GCRQFMkrDKyATY7lmCIAglkClMCX5eNpQgCGmoVcO+s0GCRQGWzi9XamQTBOG7qFrDvpNBgkUhJueXvhNmgCWIToGjHeqdIIu5K5BgIQiCEEDJDnVfMJ35Qh9IsCjE9PIMTQ1gyRRGEH6J7STcPjsb6CgvLrcoly+YznyhDwAJFkVYvrw2UyPZXgnCq8hdqQtNwnUXSsE+/Vf+PLlBOr5gOvOFPoAEizJ85OUR/oerZgpfMHN4C0djV7RSF/gdGy9fAtPxO7bdoe7seftC5mJf6ANAgkURvvLyCP/CVTOFr5g5vIHTsStY7En5HctJv+IL9ex9oQ8ACRZF+MrLI/wMVzVdP9eUXdK2nIzdmZAQurfU37HkfvvC/jZf6ANIsCiCGzkeKNwHsMbrjRot1bwnHMJVClfok6rpultTduTIlnqO2KQrqHEcKYCx/2AwD8yxO8f2uqKJXzvG7khIiGk7mJVtNwlru3QDazEJy9ES5ZrO3IEv9AEgwaIIZt+34CyFCgCwRj5tPtW8JwRgqyqAsv8KfidV03WnpuzUkS2A8eRxYN1y4FqL+RxR05yQxtHWBhQfBHesEMa0foAuGmhpBsLCgV/OAbXV168bGibc8erL/LMVWqmHhIKrrwVWPAs0NVifV1XB/15tJuHY2dmosxSmMrVEuZmLlWhxzs7xdvZkgASLIihtPiGbzz40T8BWhIZJN1O408zhxJFtC1tVYSVUzIhMug61Ko4Dzp503L9rLQDD8MdaUlMJLncpmAUv8xqIZZ9arwEnj4nfts4AxvFdVdMShYQBANk+M3/xs5FgUUJNpbx2otMjOhGlpEqeENxp5hCdQA8XwHjsEBARCcx+GlqTRi4mKG2uZZpQUfaLy320EyomOu7BAOBE+iRIWLhTLU0NLVHUFJeSKt9nJqJBca8+B7Z/hs9ECZJgUULDFXntRKdHdIJK6irrOu4yc4j1D+1t/H/NTUDuUhgXvAztTQMdrthNk67thOpOZPuZGAY4UwJcbbRqttPS1NASxcxpLc2Chzsai+h3DfXgDuT7jPZCafOVwLHy2gnCB2qdO0Sof7awRmDLagAOVuyWpj2hCdVNMLF6eb4mjrMTKuavbMKNXS0lLBa0IYajcTgdo0nj8TKksRCEB/CVaB0xbPuHMyXWUY8mrjbx/xdayYeGAfNeNI/JpWg1fSLQoyd/j4Z6x8daCmjbPinAdvJ2RUt0FLSBtH68iVCONiT03G3whf10JFgIwkP4QrSOIyz7Z1w8R9hnGBFpPtaZoBQ1r5mIjAI0HUaTbjcCoaFAS7PVtZya0+KTrDQIK+EYFg5cKAXqpU+0tuHGLuMgaIN5YI75GKmLDavnXlIkLHTDwtXpuwuQYFGCUHSKqZ0gAoHZTwOrlgJG671amP309Y/OBKWT1TVzyxBonAha00TKbd0EnDjK+3tMdJipxCZiJiwc3JxngffWStNiomIQu2y1dbixi0gK2pC52DA9d7aqAtxrzwOGKusDfjkHtqrCq9pwQAqWoqIibN68GSzL4q677sKUKVPUvYE+UXg1p09U9z4E4SW0Nw2E7q9rUL/6Jd78ZRsVJgEroVBylN+3YkKGf0mTmAzMe8Hp/g1HGyGZfd9e12J+LuZDkW1J64emjzbCeLlcNVOlWkEbQmgSk2Hs0dNesNRWez0bQ8AJFpZl8fbbb+OFF15AfHw8lixZgszMTHTv3l29mzQJO/1E2wnCDwkbOBiNKze5dA2pQkHytRxNliLRV8y+b600I9uNnQCAuATg4nm0FPOTtGr7Q9ydYkVBZJknCDjBUlpaiuTkZHTp0gUAMGLECBQWFqorWFquymsniE6OJ/xLUjczam8aCPava6xTxrQ0A8UHrU9UIQ+bu4M2fDVvYcAJFoPBgPj4ePPn+Ph4nDlzxu64vLw85OXlAQBWrlyJhIQEyfe47OA7OdfxV4KCgjrFOC2hMfs+9V26ouXUcbv2sC5dEWM7joQE4OZXzR8NL85DG+wJamqA3tVnYHMvNWmfnY26C6UwXr5kbtN26YbY2dkIkthvd7zngBMsUsnKykJWVpb5s6y69YxGeM8Ko5F3HT8lISGhU4zTEhqz78NOmAb8fMzO7HRtwjSn42AjowTb2yOjfPsZBIWAffqvYCw0InbyTD4AQWK/XXnPKSkpwt1SdDUfRq/Xo6amxvy5pqYGer3KauH/exTYJmB7/n+PqnsfgiAk45LZyUfSzSvBF8PYA06w9OrVC+Xl5aisrIRer0dBQQHmz5+v6j20d0+CEQC2vwOwLB+LP+1RaO+epOp9CIKQh9JJ1iSUQr/ejhYVo8I6KwEnWLRaLR599FGsWLECLMti7Nix6NGjh/r3uXsScPckvzMXEAQhjCYxGTELlqGNfs8uE3CCBQCGDBmCIUOGeLsbBEEQnRJKQkkQBEGoCgkWgiAIQlVIsBAEQRCqQoKFIAiCUBWG48TqfRIEQRCEfEhjcZHFixd7uwseh8bcOaAxdw7cMWYSLARBEISqkGAhCIIgVIUEi4tYJrLsLNCYOwc05s6BO8ZMznuCIAhCVUhjIQiCIFSFBAtBEAShKgGZhNITFBUVYfPmzWBZFnfddRemTJni7S6pQnV1NdavX4+6ujowDIOsrCz89re/RWNjI3Jzc1FVVYXExEQsWLAAOp0OHMdh8+bNOHr0KEJDQzF37lykpaV5exiKYFkWixcvhl6vx+LFi1FZWYlVq1ahoaEBaWlpyM7ORlBQENra2rBu3TqcO3cOUVFReOaZZ5CUlOTt7sumqakJb7zxBi5evAiGYfCnP/0JKSkpAf2ev/jiC+zevRsMw6BHjx6YO3cu6urqAuo9b9iwAUeOHEFMTAxycnIAQNHvd8+ePfj0008BAFOnTsWYMWOkd4IjZGM0Grl58+ZxFRUVXFtbG7do0SLu4sWL3u6WKhgMBu7s2bMcx3Hc1atXufnz53MXL17k3n//fW7Hjh0cx3Hcjh07uPfff5/jOI47fPgwt2LFCo5lWe7UqVPckiVLvNV1l/n888+5VatWca+++irHcRyXk5PD7du3j+M4jnvzzTe5b775huM4jvv666+5N998k+M4jtu3bx/3+uuve6fDLrJ27VouLy+P4ziOa2tr4xobGwP6PdfU1HBz587lrl27xnEc/36///77gHvPJ06c4M6ePcstXLjQ3Cb3vTY0NHBPPfUU19DQYPVvqZApTAGlpaVITk5Gly5dEBQUhBEjRqCwsNDb3VKFuLg484olPDwc3bp1g8FgQGFhIUaPHg0AGD16tHm8hw4dwqhRo8AwDPr27YumpibU1tZ6rf9KqampwZEjR3DXXXcBADiOw4kTJ3DbbbcBAMaMGWM1ZtPq7bbbbsNPP/0Ezs9iYK5evYqff/4Z48aNA8DXPY+MjAz498yyLFpbW2E0GtHa2orY2NiAe8/9+/eHTqezapP7XouKipCeng6dTgedTof09HQUFRVJ7gOZwhRgMBgQHx9v/hwfH48zZ854sUfuobKyEufPn0fv3r1RX1+PuLg4AEBsbCzq6+sB8M8iISHBfE58fDwMBoP5WH9hy5YteOihh9Dc3AwAaGhoQEREBLRaLQC+5LXBYABg/f61Wi0iIiLQ0NCA6Oho73ReAZWVlYiOjsaGDRvw3//+F2lpaZg9e3ZAv2e9Xo/f/e53+NOf/oSQkBAMGjQIaWlpAf2eTch9r7ZznOVzkQJpLIQgLS0tyMnJwezZsxEREWH1HcMwYBjGSz1Tn8OHDyMmJsYvfQZKMRqNOH/+PMaPH49//OMfCA0Nxc6dO62OCbT33NjYiMLCQqxfvx5vvvkmWlpaZK3CAwVPvFfSWBSg1+tRU1Nj/lxTUwO9Xu/FHqlLe3s7cnJycOedd2L48OEAgJiYGNTW1iIuLg61tbXmVZter7cqzeyPz+LUqVM4dOgQjh49itbWVjQ3N2PLli24evUqjEYjtFotDAaDeVym9x8fHw+j0YirV68iKirKy6OQR3x8POLj49GnTx8AvKln586dAf2ejx8/jqSkJPOYhg8fjlOnTgX0ezYh973q9XqUlJSY2w0GA/r37y/5fqSxKKBXr14oLy9HZWUl2tvbUVBQgMzMTG93SxU4jsMbb7yBbt26YeLEieb2zMxM5OfnAwDy8/MxdOhQc/vevXvBcRxOnz6NiIgIvzKPAMCDDz6IN954A+vXr8czzzyDW265BfPnz8eAAQOwf/9+AHyEjOkd33rrrdizZw8AYP/+/RgwYIDfrexjY2MRHx+PsrIyAPyk271794B+zwkJCThz5gyuXbsGjuPMYw7k92xC7nvNyMhAcXExGhsb0djYiOLiYmRkZEi+H+28V8iRI0fw7rvvgmVZjB07FlOnTvV2l1Th5MmTWLp0KVJTU80/ohkzZqBPnz7Izc1FdXW1Xbji22+/jeLiYoSEhGDu3Lno1auXl0ehnBMnTuDzzz/H4sWLcfnyZaxatQqNjY3o2bMnsrOzERwcjNbWVqxbtw7nz5+HTqfDM888gy5duni767K5cOEC3njjDbS3tyMpKQlz584Fx3EB/Z63bduGgoICaLVa3HjjjXjyySdhMBgC6j2vWrUKJSUlaGhoQExMDKZPn46hQ4fKfq+7d+/Gjh07APDhxmPHjpXcBxIsBEEQhKqQKYwgCIJQFRIsBEEQhKqQYCEIgiBUhQQLQRAEoSokWAiCIAhVIcFC+ATbtm3D9OnTMX/+fMHv58+fj+nTp2Pbtm3mtvXr12Px4sVu6U9ZWRm2bduGpqYmt1xfiEOHDuHFF1/E7Nmz8Yc//AELFy7Exo0b0dLS4vK1Dx8+jOnTp6OyslKFnlrjjWdF+Da0857wGYKDg1FZWYmzZ89a7ZEoLS1FVVUVgoODrY6///770dra6pa+lJeXY/v27RgzZgwiIyPdcg9L9u3bhzVr1iArKwtTp04FwzD473//i/z8fDQ1NSEsLMztfVCKp58V4fuQYCF8hrCwMPTs2RM//PCDlWApKCjALbfcgnPnzlkdn5yc7Okuuo1vvvkGgwcPxuOPP25uy8jIwOTJk/0io66atLa2IiQkxNvdIFyABAvhU4wYMQKffPIJHn74YTAMA47j8OOPP2L69Ol2gmX9+vW4ePEiVq5cCYBPx7Fhwwa89tprePfdd3H69GnEx8djxowZ5pxnAPDUU09h+PDhmDVrlrnNdO57772Hs2fP4u9//zsAYN68eQCAxMRErF+/HgBfDO2DDz5AcXEx2tracPPNN+ORRx5BSkqK+Xo7duzA7t27YTAYEBERgRtvvBFPPfUUYmNjBcfd1NRkdb4llmlEWJbFv//9b+zatQs1NTVITEzEfffdZ1WEieM4fPLJJ/j222/R2tqKYcOGCabjaG1txbZt2/DDDz+gvr4e3bp1w4wZMzBkyBC7Z6XX6/HFF1/g2rVrGDRoEP74xz8iMjISJ06cEH1WtbW1+Oijj1BSUoLa2lokJCTg9ttvx7Rp0xAUxE89lZWVmDdvHrKzs1FcXIxDhw6hV69e6NmzJ/bv34+1a9dajX/Pnj1488038eabb/plluHOAgkWwqcYPnw4Nm3ahJMnT+Lmm2/Gzz//jCtXrmD48OH44IMPJF1j9erVyMrKwqRJk/DVV19h1apVWLdunVUacEf07NkTDz/8MN5//30sWrQIsbGxZjNcY2MjXnzxRURFReGPf/yjOSvw8uXLsXr1aoSEhCA/Px87duzAzJkz0aNHDzQ0NOCnn35y6CsxaWo9e/bEsGHDRBM8vvPOO8jPz8e0adPQs2dPHDt2DP/85z8RFRWFW2+9FQDw1Vdf4V//+hfuu+8+3HTTTTh48KDgs3v99ddRWlqK6dOno0uXLvjxxx/xj3/8AytXrsSNN95oPu7HH3/EDTfcgMcffxwGgwHvvvsudDod5syZ4/BZNTQ0QKfTYdasWdDpdCgrK8Mnn3yCK1euWGlmAPD+++9j2LBhWLhwITQaDeLi4vDvf/8bJSUlGDBggPm477//HrfeeisJFR+HBAvhU0RGRiIjIwM//PADbr75ZhQUFGDQoEF2qfsdce+995oLWKWlpeGPf/wjDh8+jPHjx0s6PyIiwqw93HjjjVblaE2r9v/93/81F1Pq168fnnrqKezevRsTJkxAaWkp0tPTcc8995jPs9SYhJgxYwZ++eUXvPPOO3jnnXeQlJSEoUOHYvLkyWYtp6KiAt999x3+9Kc/mTWU9PR01NXVYfv27bj11lvBsiw+++wzZGVl4fe//z0A3qS2fPlyq3oax48fx5EjR7Bs2TJz1tpBgwahvLwcn376KRYuXGg+NigoCM8995y5Zsmvv/6KH374AXPmzHH4rFJTU620wn79+iEsLAz//Oc/8eijj5q1FgDo06cP5syZY/VM+vXrh++//94sWC5fvoyTJ0/iz3/+s8NnSXgfigojfI4RI0bgwIEDaGtrw/79+3HHHXfIOn/QoEHmf0dFRSEmJkZWkSJHHD9+HOnp6QgPD4fRaITRaER4eDjS0tLMprobb7wRR48exbZt21BaWgqWZZ1eNyEhAX//+9/x4osvYuLEidDpdPjyyy+xaNEic4mG48ePg2EYDBs2zHxvo9GIW265BRcuXADLsqiurkZtba05e60JW8F2/PhxxMbGol+/fnbXOnv2rNWxAwYMMAsVAOjevTuuXLmC9vZ2h2PiOA5ffvklFixYgJkzZ2LGjBlYs2YN2trarFK1A7Ayv5kYN24cDhw4YNb09uzZg5iYGFlZdgnvQBoL4XNkZmbizTffxEcffYRr166ZTTxSsY1MCgoKUi16rKGhAWfOnEFBQYHddwMHDgQAjB07Fs3Nzdi1axe2b9+OqKgo3H333Zg+fTo0GvG1nEajwcCBA83XKS4uxquvvorPP/8cs2fPRkNDA1iWxezZswXPr62tRV1dHQDYmYpsP1+5cgV1dXWYMWOGYD8ssdUWg4KCwHEc2tvbrbQOW7788kt88MEHmDx5Mvr374/IyEicPXsWb7/9tt37iImJsTv/9ttvx5YtW1BQUICxY8ciPz8fo0aNshJyhG9CgoXwOcLCwjBkyBB8+eWXuP3221UPtQ0ODrZbbTc2Nko6V6fTITMzE/fff7/dd+Hh4QD4iXnixImYOHEiqqursW/fPnz00UfQ6/WSzXEAr3ndcMMN5popOp0OWq0Wy5cvF6wLEhMTA6PRCIAXHJbYftbpdNDr9Xjuueck90cu+/fvx2233WYlvH799VfBY4XGExYWhhEjRiA/Px+JiYmorq6Wlbqd8B4kWAifZPz48Whra8Pdd9+t+rXj4+Nx6dIlq7Zjx45ZfTatxNva2qzab7nlFvz444/o0aOHpJDYhIQETJkyBd9//73opArwNcltV+2tra0wGAxITU0135tlWVy9ehXp6emi94uNjUVhYaGVyejAgQNWxw0cOBBffPEFwsLC0K1bN6fjcITYs2ptbbXTaPbt2yfr2uPGjcPzzz+PTz75BH369HG5r4RnIMFC+CQDBgywigZSk6FDh2Lz5s349NNP0bt3b+zfvx8XL160OsbkkP7uu+9wxx13IDQ0FKmpqZg4cSL+85//4KWXXsJvfvMb6PV61NXVoaSkBDfddBNGjhyJjRs3QqfToU+fPoiIiMCJEydQUVGBmTNnivZpxYoVSElJQWZmJuLj41FXV4evv/4ajY2NZuGakpKCu+++G6tWrcKkSZPQq1cvtLW14eLFiygvL8eTTz4JjUaDSZMm4f3330dUVBRuvvlmHDhwwE6QpqenY9CgQfjb3/6GyZMno3v37mhubsaFCxfQ1taGBx98UPLzFHtW6enp+Oqrr9CnTx906dIF+/btQ0VFheTrArxTv0ePHjh58qRdJBnhu5BgITodWVlZuHz5Mr766iu0t7dj1KhRuP/++7Fx40bzMYmJiXj44Yfx1Vdf4euvv0Z8fDzWr1+P6OhorFixAh9//DHeffddNDU1IS4uDv369cMNN9wAAOjbty927dqF7777Dm1tbUhOTsYTTzyBYcOGifZp0qRJKCgowIcffoj6+npER0ejZ8+eWL58OXr37m0+7rHHHkPXrl2xa9cubNu2DeHh4ejevbs5Cg7go+IaGxvx3Xff4f/+7/+QmZmJhx56CGvWrDEfwzAMFi1ahB07duDLL79EdXU1dDodbrzxRvzmN7+R9TzFntW0adNw5coVfPzxxwD4AIJHHnnEvO9FKkOHDsXly5cxYsQIWecR3oMqSBIE4dMsWbIEKSkpyM7O9nZXCImQxkIQhE9y9uxZ/PTTTzh79iwee+wxb3eHkAFpLARB+CTTp09HZGQkJk+ejClTpni7O4QMSLAQBEEQqkI77wmCIAhVIcFCEARBqAoJFoIgCEJVSLAQBEEQqkKChSAIglCV/x/DLIxlldJfVQAAAABJRU5ErkJggg==\n", 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PDfvtIuz/luN7CDC/g9vmLPu0PkrzcwkyhRFBjyIThwp+B6GcDbOYicyCkFkrMkrwVFmmmT3bAGOV7TFjlU0/5OwkGGh+B7fMWXu2AbV2+Ti11QHvc/IFpFiI4EdBzoZSQWquqkD9hxtgul4u7X8QakNEJNDtNjCdbbG+zlxVAVy55HifTtOMM7+H3H44S1wMOL+DG/k5gaZE/RlSLERQISZwrWfmlpUA+8F6mO2EshJBajGbtcgIClC8z7jQ7BkAetzOPctJMIJqCsGLiZRq7LLpzn7uAadE/RhSLETQ4DT6a/Yi5+coEaQKzWZKypqIzpJbmuU9VyWF4I6gVoJgBFxNJdjLFxRH8LlcPiaEqhF4GlIsRPAgR+A6OUeJIPWk6URq9iznuWoqBDmC2u2QZD/YZdNbSjQUIMVCBA1yBK5coSxHiHnUdDJpBnDxrK0DvtO/wuzZJuu53ir82FFR5naeEFvpJBS7stzNVsojYLa79nMo3JgIGuTkZai66ZTcUiEysM+dYWuqxENfVXyuGjR9vMmtkGRzVQVQ9qP0STfqXGsc4RNoxUIED3Js5Cra0S2mk4gvdqLFWVSYBIJ+n5NH+JIvPJ2hr5rZi/zKZGMyCpfMl20S3LPNsa/2JCQpbBXhS0ixEEGDHBu52nZ0TUoaEhYsR7vIfiSyfA9C/gURQeuPoa9avQHtAsflrgLl9IkhP0dAQYqFCCrk2Mi9ZUeXW6NMibJgEvV+V949ZvpTaPnutOQqUErBitZXc+FehH9AioUgRPBIpJNAhJOoYI2ItF25WASsh6sSK+23Li1dsnqwuaoC7Ot/4PNyWAC4UALz86+Kh3iLJI/6m1IlhCHFQhACKBVgQsJYdjiymN/n0XlgDv7DQVibRCKoWBUKQ7oquKVWgez2fMFSKez2fGDuMmXmySAt9e9tPL3qI8VCEEIoEGBi4bZiOzLaVw/Gnm1AbAJgNjtmm985wPEGN2qF21wvclwAUcHiCcFt2aFS4rhc8ySVXXEfb6z63FIs165dw7Vr19CzZ0/o9VT2gAgelAgw0XDb9Axu5SHiexDMNtdogN8tlv6BxycCNZXCx2UgKFgunoWpx+3AhRLBa/xFcFPZFRXwwqpPtmLZtGkTAOCpp54CABQVFWH9+vUwm82IjIzEH/7wB/Tp00eVRhGE2ihd+isRYGLhtmhplt650MUfONOlK1fqROC4LISea6xyrIZsfW93BHe3nwHnTgkfVwqVXXEbb6z6ZCuWkydP4pFHHuH/3r59O0aOHImZM2fiz3/+M7Zv344XX3xR8h5vv/02jh8/joSEBOTl5QEAduzYgS+//BLx8fEAgOnTp2Pw4MEAgF27dmHfvn3QaDR4/PHHkZWVxbdl8+bNMJvNGDduHCZPngwAqKysxNq1a9HQ0IDMzEzMmzcPOh1Z+0Idl5b+CgSYVLitpO/B1R+4m8JVsQBxV3BHRAgfv/I9zPl5XisySXB4Y9UnW+rW19cjOTkZAFBeXo6KigosWrQIiYmJyM3NxZo1a5zeY/To0ZgwYQI2btxoc/zBBx/EL3/5S5tjP/30E4qKivDmm2+itrYWK1euxLp16wAA77//PpYtW4bk5GQsXboU2dnZ6N69Oz766CM8+OCDGDlyJDZt2oR9+/Zh/PjxcrtIBCsurAyUCDDBcNuISLCVFZKC09UfuLvC1Wl4r4WoGDADs53eu6OiDOYt68XbIrbJ2c1GbkM1bxWZJDi8sOqTrVhiY2NRX18PADhz5gwSExORkcE5J1mWhdlsdnqPfv36obJSwDYsQHFxMUaMGIGwsDB06dIFaWlpKC0tBQCkpaUhNTUVADBixAgUFxejW7duKCkpwbPPPguAU2J/+ctfSLEQLq8M5Aowm3DbynKg7AoXJnz5PNjL58UFpxs/cLeEq9BzBWAGZjvdJ95cVYG6dS+DvX4NgLIS/jxu2Pcpp0U53lj1yVYsgwYNwvbt21FXV4f//d//xfDhw/nPrl69ii5durjciL179+LAgQPIzMzEo48+itjYWBiNRvTq1Ys/R6/Xw2jkBIFl5WT598WLF9HQ0IDo6GhotVqH84UoKChAQUEBAGD16tUwGAyi50qh0+lcvjYY8Nf+d1SUoenjTTAZq8HWVkFo2hOZ2hUJKrRdp9OhS9+7gL6voX7NcrTY+z+qKhDxxU4kLFhue9xgQMeKDXw7tXoDYqY/BV1autttksTuuUxUDNovnQdrFRCgTe2GxMfmQedkfOo/3ICWTqXCY9XfjooyNJjNaAsLB9rbRO+ja2qAXsZ3Yf29MlExMFu1mwWg/aEUicvXqT6G1s8V+p789XcgisEA9H3NY7eXrVgeffRRbNmyBf/85z/Rt29fTJs2jf/s6NGjuPvuu11qwPjx4zF16lQAnN9m69atmDNnjkv3UkJubi5yc3P5v6tFSnI4w2AwuHxtMOCP/ReOttICZtOtv1PS0Dphqipttx4D03XhKrwt18uFy77owoFZc7l2A6gDAJltEpqtA5A3E7V6LgCw584AW9YBN5uA6BiYZs5BnS6cb4vYykCqv63ffev4PTCM4D7yHTFxTr8Lwe/VDtP1azBuWe90paUE++e2A2j57jQYq1WZP/4OvEF6urACl61YoqOjRQX+ihUrXGsVgMTERP7f48aNwx//+EcA3IqjpqaG/8xoNPIhzdbHa2pqoNfrERcXh5s3b8JkMkGr1dqcT4QYQj4VswlI7gIYUgUzw9UyC8jxmzh7npz2CAYkXCjhBHdndJfc/ARzVQWwdf2tEObmJmDrev46qeAHyf4KfQ8s61hRICIS7L0yTNZSe7ZYP6LTxKna90pJmYpRHDLV1NSEq1evora2FklJSejRowdiYmJcboDlPgC38unRowcAIDs7G2+99RYmTpyI2tpalJeXo2fPnmBZFuXl5aisrIRer0dRURHmz58PhmHQv39/fP311xg5ciQKCwuRnZ3tcruIwEXUd2JIhXbxKptDqieLSeyjIvq8owdgiooBevUDcidxQt5Ze4SEndBWxnIEoDPBKfX5pBnQ/lAKk7U5LCwMbEszcKNe+HkpXYGq8lvKpbXFRpGJITeaTW49NbmKh5IylSNbsZhMJnz88cfYu3cv2tpu2UrDw8Nx//334ze/+Y3T0N61a9fi7NmzaGhowO9//3tMmzYNJSUl+OGHH8AwDFJSUvg8mR49emD48OFYuHAhNBoNnnzySWg03PYxTzzxBFatWgWz2YwxY8bwymjGjBlYu3YtPvnkE9x+++0YO3as4gEhAh9RZ3H1dZjeeMHzmeZi+6gA4rP4m43AqaPA2ZOOvgiB9igRas5m8M4Ep9gmXGxVBbQpaUhcvg417/w3UHIC6GgH2tu5vkRECjeoucmxerNVH8XaKSuaTWY9NSUTCkrKVI5sxfLBBx/gyy+/xJQpUzB06FAkJCSgvr4eR44cwV//+le0tbXhiSeekLzHc88953BMSvg/9NBDeOihhxyODx48mM91sSY1NRWvveY5hxQRIAhFPWm0nKmnptJGiKg5GzVXVYDNWyZYF8si0JzeV8TBbX+d7JBhAIiMgmnDK8DZE5zQhwJzFuC0hIwuLR1MZBTYDrtsntYW4UKasQmClQPYOqOoic+UkcmtgOzvp08BetzOJaMm6jmT2p5tYE9/I9hkfhyVTCgoKVMxshXLv/71L0yfPh0TJ07kj8XGxuKhhx5CWFgYPv30U6eKhSC8gX04JaqvOwqyTiGi1myUF4hCpVZgJdAioxTdV6g95qoKztQUFsYrCgBAksHGxwKAE7xXLkmbyYQEp44zZ5mrKmSVkBFVmOkZXKUA6wCDPdu4MGyhPoqZ+KzbHxHJ39fBV/bGC2BlVBBQMqGgpEzlyFYsDMOge/fugp9ZTFEE4S9Y53mY3nhBdIbM/HaeOrNRZ47lTjMcKq6Jn2NBrFw+RCKjdGFA/0FgHp7Nt8UiANmWZs4sJQJbZ4S2U3Cy2/NvrWo6OHMWe/YEEB0neK11CRlRBd2lq0OEllliBcB+sF60rTytLYL3ZbfnS5alsR5HpRMKSspUhmzFMmrUKOzbt48vq2LNl19+ifvuu0/NdhF2UCKY60gJEbVmo5ImLisznFOSDMATCwTL5QMQVmAd7WAio26dYyUATW+8IPk4iyDVpKTBHBkFtt3OnNXeDtQbBcO1Xd3yWWrMzTJNfILjLVZFWaMFM+Re23EMIPNWIP72ZSsWg8GAI0eOYOHChcjOzkZ8fDxu3LiB4uJitLS0YOLEidi7dy8AbnVDGe/qQZsbuYkTISJnNursxy3q8wiPANpanbfRatUhWi4fyiOUJH0xdoJUUjlKhGsDys1FomMutyqAElNlTKzD6sYX5i1XFESg/vZlK5YPP/yQ//e1a47L+a1bt9r8TYpFRSiO3n3SM27VrMrsc0uAy0DWj1tMecXGAwKViG1ISbNJtnNlG19RQSviP7FRYlb3kFwtCIRrWyOloOUKVQf/WGQUcPWyrYlLbGWR2UfY7JcpXHXdm+YtlxVEgP72ZSuW7du3e7IdhAQUR+869tviAgDOngT73hsw2zl/RZHx4xabAXOOagHFIpGsKSmAFJpwFM3MnawWXA2vVSpU7QW+XKXEPDwbrH2gQpLhlu/Jl7ioIAL1t0815QMAiqN3HcFtcdvbgMsXOIEvY9Yo98ctNAM23TseOHnEwRnPiD3TiQByxYQjd2ZuuTe7Pf9WTopVm132P7g561bU/udf9Ut/hOg7VMVVwBZqr7mqgotoFMDff/uKFEt9fT0+++wzXLp0CTU1NVi8eDF69OiBv//97+jZsyd69+7tqXaGNgHkaPQ7xBy6FmQIOFcVO18qxa58CR6dJyrs5Cgxd004UisATUoaMHeZag5jc1UF2LMnBT/zxKzbX6O3RM2M134E2/mOWq/kAIiHrwfAb1+2YiktLcXKlSsRHx+Pfv36oaSkBO2dESS1tbX47LPPsGiR/32hwQDF0XsWj22sJTRTb20Bc/AfwJ0DBIW3lBLjz6+s4JIW4xMdcjmcIdcspYaA5p/VIFzaxd9n3aoi9A7Zh5UDtyY6ln/bk9xFfLXrRyjKvO/fvz8WL14MlmVRWFjIf9azZ08cPHjQE+0jOvHXmZjfI+bQtcJTG2tJrT7EBDwenSdYa4y9dzxgn79SUynbnMfjTWewVG5PAMy6AfVCfYXeIbayXDCwQ3KiY0j1e6UCKFAsly5dwn/+539Co9E4bOoVFxeHGzduqN44gnAX5uHZYO2jiqwREXCCJeknzQBjObZnG0z3jgdz8B8wNjXAHBPnKHREsuxFM8yrKoCCPba+DYD7u2CPuJBWoBik6n6pjaiAjEsIiFm30qADZ0rIISghP08wsIOvDiDQpkBZ5Skqmy+mPK5fv46EhATVGkX4B4GYmGWPJiUN5sWrbMNXAb62lGD5/MoKoOxH3kwhWpK++CBYs+nWfvdWQsdcVcGVUrGns9KxaIb5xbNcQUprbtQBpd9J9lO2v0Ks7tdPPzgW6OzE1fdA1KzXL4u7r4jT2m9QsLrrqChTHk7szMQawH5V2YolOzsbO3bsQO/evZGSkgKAS4S8ceMGPvvsM9xzzz0eayThfQI1MUsIuQmQkptICdXass5EBxxLzQtd0+N26QxzsWRKe1u8HbJnsmJ1v9pagfNnuDZdPAtTZ2FHREbZ1BpT9B6ICE57s5433y0le+Gg7IrgPYSUeNPHm2QrIZtnpGfwOVYOE50A9qvKViwzZszAypUrsXDhQmRmZgIA3nvvPVRUVKBLly54+OGHPdZIwgcEaGKWK/BVieWUXHECW1ne+X8RBWVxZIvNVm82OZrCAC6DPylZWPEpmMkyXboK59VYY6ySrrkl8z2QzO3xwbvlbLIkZ4dKQFiJm4zCu0faKyHBZ4iEnweyX1W2YomNjcWqVatw4MABnDlzBhEREYiNjcXYsWORk5ODsLAwT7bT77DMOkTt6wFOoCZmOcN+xsreO95290R3KbvCPcNJqXkxoctuzxcONujVj0v0swjletuoMECmaUlmyRRnCL0HoqsB+9weX71brmxoZo+IEtfqDRCYDjgqoRCZsCnKY9HpdBg7dmzIb6BlPesQsq8HA8GYlCk4Y7VPXnSX1hZOSMgoNS8kdM1CwQb6lFvlVwSEjxKzpY1CO/0Nt+mWC9i/B4GwcZbTDc0kgg2QniGpsGOmP4WW70479YkE64TNHo3cEx9++GGUlpYKfnbp0qXQMoVJzTqChUkzuB+GNQHgPDR3ZjKb3ngB5vw8bhZtQSSvRBSGET6u1Uq2ga0z2pSUt6GyHKbnH4fp2UdgWjgLpg2v2LRRk5IGZvEq4O57OIEWl8BtZCWFwvdRk5IGzexFYAa6uHW31XtgrqpA/ZrlYF97Xn4bfPRuiSouy5YGYlnu/bKgXbwKms7KB0Lo0tLBLFgBZmgO0GcAmKE5guYtsTYE8oRNCFVKunR0dEDr5McWTITCrCMQkzKlZs0ARDPARdHqhP0dvfpzqxGpmlpiJqemBtu/Tx0Fe/UyzItX2Y7t1cu3/DFi53Qi930UNAPatzE8AoiMtjXl2e3SyJe476zD1iIUpCDRNp+9W052FuX/ltoeQAJZPpEQqaIhqViqq6tRWXlrOX/58mWb/e4BoL29Hfv370eXLl0800I/JBjNREIEnPNQZObObs/nInxEMsAFM6ABYaUCcJt1PbmQyy0RqallIzzPnhR/NgAYq8DmLYOpsyglW1/n6Dw3VnH9mLvM4XI576NUQqb93i8AZAl9wTps9kRGCfp+rN8ti8IzeVDJWJ6B2HjAbAYSkjg/lb250sn2AO4SiBM2V5BULF999RV27tzJ/52fny94Xnh4OJ5++ml1W+bPhMisI9AQXTFeOi8u2FPSuGz3Tf8tLfytqasBtq4H07kSivhiJ1qulwvX3Zq9iDOznD8jfc/OWTMLiJvgxOqeyXkfRZQuc/AfDnuVAJA3oXBWhy3JAFy9zG8VLOR38UZYu2AklkYDxCcJ+8GcbA/gLgE3YXMBScVy//33Y9iwYWBZFs8//zzmzZuH2267zfYGOh0MBkNIRYVZzzp0TQ3oCMKosEDE6X4i9lhlgJv7ZYE9sl/+tZYQZUMqkNoVzG/FC0sqbhcrfbZgjTEns2Cvmm87d2wU3BbZPgLKG1FSYs+wqyBiwbLSC4YEYV8hqVji4+MRHx8PANiwYQOSkpKg01GlfeDWrENvMKC62ok5gPAOYjP39AzBEF6mX5b0Rl36FE7Ii5l7OlcZLefPAN+dFp9lqxTii8w+ojN8ZsEK4ZVHJx4x34rVYRvwc2gsKzUBrJWZNxSe6L3iE7mVi8BKL5gShH2BbC1hybYHgNbWVuzbtw/Xrl1DYmIicnJybD4nCF8gmpAHgC27ImkqkrxWTvJk5wrGvOgV6RDfqgou+qixwTFz35qwcG7fGAuWDatcneG7ab4VXCVJhEYD8pSZN/yVos/o0hX43WLBVYk5Py8k8k08BcOy4uvurVu34tixY1i3bh1/rLm5GUuXLkV5eTliY2Nx8+ZNRERE4NVXX0V6erpXGu0JysrKXLrOEOIrFm/23x3ThFBElL3TWuxecjOyAUhv4iX3XhGRwNz/4ttnXd9MNAghKoYLHxaqfaagz4LFNwHRbHFA3MckJ8tcSSa6q7jyDFG/WJ8Bgv6XUJUDYjJfUrH8v//3/zBkyBBMnTqVP7Zjxw789a9/xdNPP42xY8fixo0bWLlyJTIyMjBv3jz1W+4lSLG4hrf6r6YAErxXWBjQz3EfeOtr+PpO1dclVzDM0BxRs5Q5P0/al9OpVLR3DhBvqxRWAl/peImNsagpsbOfUu+AnMmAN3wZSp8h9j2Jfbdq/A4C0acjplgkTWGVlZV8XTALR44cQffu3fns+/j4ePz7v/87duzYoVJTCUIAiVBic2SUsh+j0L3a27l8kXOnYUq/DUyXNMEIL8C5sJfyD4h+ZrXiAG6VZ3GmxBywTkoUGi+rsGaHsRIzs7U0K+uLFXIioLwRJaX4GV6O/Aw2n46kYjGbzTbRXo2Njfjpp59w//3325yXkpKCuro6jzSQIAAJIXb2BNjOnUzl/hglBWJrC3D5PNjL5x3L4FvPJh+dB2xZJyz0RXI3AAl7/8BsaGYvUr5CUdo/67Bmu7FS6jAPtrwta7yebxJkNcQkS7p07doVJSUl/N/Hjh0DAGRlZdmcV19fj9jYWPVbRxCdiAqxdrskRhmldWQLxM57WYQ9e2Q/V1r+yH6ucOVjzzqWJtGnAFcu2ZzLrnnxVtkWZ+VM5BRCdAKTqJfXR7uxEr0ms09AlvdxF770zW85Ez/7wXrHMkEqEWzVPCRXLBMmTMC7776LmzdvIjExEZ9//jm6dOmCgQMH2px3+vRp9OjRw+nD3n77bRw/fhwJCQnIy8sDwK2C1qxZg6qqKqSkpGDBggWIjY0Fy7LYvHkzTpw4gYiICMyZM4c3yxUWFuLTTz8FADz00EMYPXo0AK5m2caNG9HW1oZBgwbh8ccfByOWbEYEFkKmCV2YYHa89Y9RbCdIueG/lt0ixZILsWAFwnZtRdu5Tkev2cwlUNqda5l5alLSYLKsdm42AdExwKPzXF41OGAt8GX00eZ5IuYfS5SXp2bvSvZI8bbvwVsmqmCr5iGpWEaPHo3a2lrs3bsXTU1NyMzMxJNPPmmTy3Ljxg0UFxfj17/+tdOHjR49GhMmTMDGjRv5Y7t378aAAQMwefJk7N69G7t378bMmTNx4sQJVFRU4K233sLFixeRn5+PV199FY2Njdi5cydWr14NAFiyZAmys7MRGxuL9957D08//TR69eqF1157DSdPnsSgQYNcHRvCjxDcM1woAQ+2CW5iOR94dB6wfoX4xloWqq+DFTmHrTOCAWC6ctlp1r5FgJurKmzL9Dc3AVvX3xJUItsZQ6MRTuhLTAbT5y5BoWs9XmK+GmvB5dT84wGTjNI9Urzue1DBRCVLMQZZNQ+neSy/+tWv8Ktf/Ur08/j4eLz33nuyHtavXz+b2mMAUFxcjOXLlwMAcnJysHz5csycORPffPMNRo0aBYZh0Lt3bzQ1NaG2thYlJSUYOHAgb3obOHAgTp48if79+6O5uRm9e/cGAIwaNQrFxcWkWAIcoR+l1jpU1T4/RZ8CtqX5VrVae2HaeT8GEFUYNtRUAo3CW3Jb9q43Xb/m9Da8AJcQVOZJM7jik/YkGYApvwX+vNY290Wj5WqWJaeAsYxR532E6nGxb7zgkHNiL7i8Xm7ElT1SJAS72qsbd01UchVjsNUQ83kafX19PZKSkgAAiYmJqK/nZn5GoxEGg4E/Lzk5GUajEUajEcnJyfxxvV4veNxyvhgFBQUoKCgAAKxevdrmWUqwlLQJVTzZ/46KMtSte5kX3CwA7Q+lSFy+Drq0dMBgQMeKDWj6eBNMxmowUTFov3QerFA2uDXnTkPTJR2C6Yn2iYkA0NoCJjKKWyF1ok3thsTH5uHGxlcFN3iyxnKuzmCAsalB8HxdUwO0X+xEi8DOjeE9+yLpwSloychEw4aVMDfcAMxmMGndEXbgC67PnQrUYYw66ehog5FhbMwtDMNAn6SHzmBAR0UZP45avQEx05+yuV4Kd94BqfHQOxkvvd0znb4vLlCf2pWrrGBHZGpXJFg9X2wM6j/cgBYBxRjxxU4kLFhue9xgAPq+5lI7/Q2fKxZrGIbxmk8kNzcXubm5/N+uxqBTHovn+m/esh6s3WrAdP0ajFvW87kE5loj0NrKRYaVn5cVmsvW18J0U2SDq8goR8UCgE3PAJOSxs8mzZNmoE4Xzu0eKoRVhVzLuaiuhkkr/JPriIlD+/Vywc/abtRxY9y1B9jnVvD7xbM/lqLtR8c9kuzHCOgcS7uxYWsqYdyyntu50mpW3Q6gpegroL94Xo817rwDYuPXEROH6upqp5/b3EvG+wIoW9WYJ0wFBDbwap0w1eb5YmNgEvlOW66Xoz0I5IZLeSzeICEhAbW1tUhKSkJtbS1fm0yv19t8UTU1NdDr9dDr9Th79ix/3Gg0ol+/ftDr9aipqXE4n3AkUBKxnJkh3ArNbW9zXJ3owrg9WARgOiOEHJg0A9ofSm3NYSKJiOaqCuDKJcd7dJqkmD3bnDtwZUaN2Y+d1FgKBid0dOb1lF1xqEbsEAzhzorVmW9Bge9BjtlKqc/GXRNVsDnl5eJzxZKdnY39+/dj8uTJ2L9/P4YMGcIf/+KLLzBy5EhcvHgR0dHRSEpKQlZWFj7++GM0NjYCAE6dOoVHHnkEsbGxiIqKwoULF9CrVy8cOHAAEyZM8GXX/BKfO0MV4PRHKTc0l2GEKwZHRAD9soCzJ7iw5Y52LqJLxmZPpnNn+MguU1QUcOfdAGuWFjx7tgkXtOxxOyfAZAhRubZ9e8ElWmG57ArnpxLDyp8h9u50rNgA6MJltcseZ4JbiWCX6qM5P48bRxec8W75nYLMKS8XryqWtWvX4uzZs2hoaMDvf/97TJs2DZMnT8aaNWuwb98+PtwYAAYNGoTjx49j/vz5CA8Px5w5cwAAsbGxmDJlCpYuXQoAmDp1Ku/Inz17Nt5++220tbUhKyuLHPdCBFIiltCPMiISbGU5l4BYKWxmsCElDWhqBG42On7GaDjfiX0ujJPNnkznznDmKIvyaW4C6mqBBSug6SzFIoTUfjHmqgpZQlRWCX4hwSUWYi1jDxq+3SLvTtPHm4BZc53eRwxnglu2YJfoI3tkP/dZbILgpZ7KFwk2p7xcJGuFhRKhUitMaXE9Z3i6/7zppaoCuPaj7U6PYjs/2ikFdnu+cHn3xGQu4uqywIZVEuNhWjJb2JcTHgHc3lu8JpZUnTAr85mUqVLQ/CeydbA9/H2d7Whph6U+lti7E3bXYJifXS77fp7EaR+TuwiHXUvUd5NDoMkBtfBbHwvhXQLN5muZrZrz88Da71jY2uKoXAT8G2ah8u4AZ/YSWskANuYTByEt5vhva+Wy7QFh86JUYqZVyLGUqdKdGbDTHS2jY4H2VttqBlarH7F3R6s3QHjLLO/jtI8Se7AQ6kGKJcgRKp0eiDZfUVNFt9tsorWEhKwmJQ3mxavA/vdSx6z4tlZupWGf02JlPjF3Vgvmkw1NHc4bLGBetCgFdtUioKnBsY/XfhTN8re+l7u5JqKTiwE/5/0QguMp4i+Imf4U6lxujXo4VKAWQGoPFkI9SLEEMWLOVjw6T/ZeJL7CwRwkkpEuGq1lhyYlDSYxhaALAzNomLD5pLOCMuwTMWUgpAw1KWkwRUYJKhaUXQEbFiHrXm5F9kk4lKWUlthqSZeWDrhgBlIzOlF4X3vhIIxQ2HPe15BiCWYkaly5Y09WA6d+BKsscRYAEvScP8Q6qioikluBuYtWK+lDwKXzwvb68AguPNlsEvT12JsXLX1Go4BSAbiSLTdqBT+yvpe7kX1qmNPcRfXoRKF33UkQBuE5SLEEMWpVTFU778WZUGG35zv6Q+qNQI9M7v+WmlmtLXydLQDO2yi2R3tmHwAyI66siYgEs/R16JP0qHlxrqR50XTuDLBhpXCwgTVyfAAqRPapOWvvqCjjkhPd3RPHjehE0XfakOpSUArhHqRYghg1HPUeyXtxJlTsnfQWrgokFwqYqsTa6GyPdlETkcgOimio58ZmxQausKWIYuPCk/9LuIikPTfqgMeelTRV+lOJdXNVBerWvcxnvLu7J46rfQi0oJRghxRLMKNGcpYH8l7E8k9cFoxCpiox5/niVYqT8diaKuDcaeHVRmceh2bWXPGiiOtXyFMqABcKu2452P6DwPx2nqBw9ishKlSEU8b7oXofQjQR0V8hxRLEqJGcpfbM0lxVwa0uBOCFipjJSiFiznMlyXh8mXsJE1ZHRZnojpHYs026NL9QRJpIORUeLwlROSZQl98PkT6w946/tS2zJWDDSX4OELqJiP4KKZYgx2Ohqa7OLPdsExbSEZG38iUeng32yiXh8idC14koIlVm8DLKxpiufA/2wrcAbpmCTJbIu9PfiF/IMEC324DLF4Q/F5n5e0OIyjWBuvp+CO6vc+94YOt6LhnWDjkmNqFJgajCJzwKKRZCGpVnx1L5KDYmqedfdZ4lrtEAc/8LTHKK474sdrNfVwWL05l3RKRNOX0AXDs2rATrzFHfZwCYhCSwYopF4vmeCpmVzFwXUnQiRTjlvB8OiiA/T1CpSD5foh+BUhMvGCHFQkjibHasNCJIdIYrkNQomUHNMMCCldB21uZyNvuVEixSJh/RSDGNFkhKBqJigJ8ENueSEf3FPNpZX0tiC2Fv+k3kVIu2V3SalDQkLl8Ho9KoMBn3dvUcAIFVEy8IIcVCOEVsduxSRJDQCigsDGxLM1+I0RpRwT5wCK9UhNooOPu1EyxmS0RZyQnOryHUB7EyLGYT52iPiBTupxAaLRATC2T2sdnnxLxgBdcOS5VlC952PsupFl193eF70qWlq5IXJSfcW66i9afIuVBE4+sGEAGMSEQQm7eMWwUIoOms5YW77+H2PwE4YXrqKNg1L3J28U7buOmNFzgzkz7F9iYpabdChEWQvZfLqaO8UrHuA/Zss2kvMzQHiBOojNva4lgVQETZMEPuhfbND6Gdu8xhW1rt3GVgXt7IPafPADBDcwT3dPEksoRuTSXY1/8g+v26xaQZnDIVQ4GiFVNAFH7sHWjFQriMqCCqqeSUhNTmSZFRYAUEOrtqESforU1JSQZOEcmIDrLg7l4u1n1zZpbT9siEWW9wMMMp9Usp8ZuoXQ4Fe7aJRus5UFvNrbDmLnPpeWLYm12VRIU5QOHHPoUUC+EykqYLq2q9QgJQVCkJ1dCqrQbTuz80SgSZE8HibHYuNLMV629Y125ot9uPxJNRW2o6pp36VcQ2SRNLYnUTtYISKPzYt5BiCVFUmfEKRQRZwVZV8PuzA7YCUGn5FKW2cWeCRfL5VgrIpmJuZBRnlrPO3Leq7is0plpPCDI1HdNiK7e4BDD9ssB+e1xY2SvAV1thU7FJ30GKJQRRa8ZriQiqWTZHeOOr+lrH4xYBKLU3iQCu2MalBAt773jg5BFbk1tYGNBvEO9YF5zNC5jldGnpMB38yqYWmCfDW9V0TIte09FZCbrH7VzVAXs666s5g8J+QxNy3ociUjNehejS0sEsesXR6ZqSxhVUFICtMzp3itvfy4lt3FxVAdOGV2BaOIv7b8Mrog5mwWz6iEhg/nJbx7rQONVWg4mMgnbxKmhmL4ImJQ0dFWXCBSYtUWcqo6ZjWvSa5iZuP5ryn4D4JNvPrOurOUPFd40IHGjFEoKoHYopZnbCnm2CyX8WYcbvDim0MoiIBNIzuI2ZnJhO7MvsA+CizK5cgvn5Vx2vFRJ2rS1gDv4DsAphljtOTR9vEs9bKTkhGEat+n4qOvGQbcX3sqbeCNx5N5i+A522VahPFPYbmpBiURlf2ZOV4IkihkJmJ7PMyBy3Ha17tjmW2Qe4kjACfge5wk7uOJmMEqVnOtod2iBoHjpeBJOVGU4KfidK69wXJ/XFxN5Lm7EvPmi7MZaFaz9As+hDyTaJbiqXniF4PoX9BjekWFQkYOzJXgrFVKIw3HG0Ss1+hT6TrVgnzQAulNjWLEsyOIyTVm+AXeC0dBuEVkyWXJ5zp2GSsVLjQ7bbBUK2X3se5n5Z/PXO3ks+nFqqfI4zxExe6Rncu0VhvyEFKRY1CZAyEt4MxfRGZI5UhJfgzFiJYmUY6b8BxEx/Ci3fnRY3J1Vfh+mNF5yahwBwJrXLFzgTopNJieh9Guo5/0jn9bLfSycboUkh2paWZsm9aojghBSLigSSPTmoQjEnzQAunnU0hwmsLgAFilXIxGaschDIurR0MBbTlFV5GO5hWi4yrqbSqXnIASeTEqch29ah0gI4mP6EqkonGWQ56qVWgUH1rhGyIMWiIn61AVMIYdnAi92efytxz64el9A1zoSdkomCJiUNmLvMNu+l+rpwuLWQeUhmG5zm1QhcL6qA7Op+2VSVVrq6oEx3wgpSLGoSpD+uQAhI0KSkwfzw7FvttK/f1YmSvrgyUbBWWKY3XhDO72moF1/hSDxLMq9GaBdNy/VikV8CpXdcXV1QpjthDSkWFQnGH1egBCRItRMA951UlnP1sOQmMboZ1iu6Urj2IwBAa73CqargjluHLdtPSsTyanr3B5a+7qh0Oq/no8jyloknrKpURoVMXgRAikV1gu7HFSABCWLtZLfnc8pEzOwk0RdXwnptmDTDMbsf4P7ufKb1++JsNSVlmtM6mdRoUtJgMqQKrqD80QdIBDakWAhJAiUgQbQ9IiYim2tPfwNzfp7g6lIqrNeZctWkpMGUniG49bCon0bifs5Mc+5eTxBq4TeK5ZlnnkFkZCQ0Gg20Wi1Wr16NxsZGrFmzBlVVVUhJScGCBQsQGxsLlmWxefNmnDhxAhEREZgzZw4yMzMBAIWFhfj0008BAA899BBGjx7tw14FPoEijJQWtbTBUr5ExCwmqlw7940xNjXAHBMnqJiYLl0lqw8owl0fXpD6AAn/w28UCwC89NJLiI+P5//evXs3BgwYgMmTJ2P37t3YvXs3Zs6ciRMnTqCiogJvvfUWLl68iPz8fLz66qtobGzEzp07sXr1agDAkiVLkJ2djdjYWF91KfAJFGEk1s70DOHcDCFEViFSvhL20vlbyZFCiknF8XPXhxeMPkDCP/ErxWJPcXExli9fDgDIycnB8uXLMXPmTHzzzTcYNWoUGIZB79690dTUhNraWpSUlGDgwIG8Ihk4cCBOnjyJe++914e9CGwCRRiJ1isDwNr7WCIiuUTHlmaH+wiuToSUQ0SkYNFJe8Wk9vi568MLOh8g4Zf4lWJZtWoVAOAXv/gFcnNzUV9fj6QkrrJqYmIi6us5W7nRaITBYOCvS05OhtFohNFoRHJyMn9cr9fDaPQvX0Ag4qow8naYslg7RQtkHtnvcK6QiUpIObCV5ar5Tggi2PAbxbJy5Uro9XrU19fjlVdeQXp6us3nDMOAESin4SoFBQUoKCgAAKxevdpGUSlBp9O5fG0wINb/jooy1K17md8EjAWg/aEUicvXQZeW7nC+p+ioKEPTFzthamqANrUrYqY/BV1aOjqS5qHObpMybWo3JD42Dzqh79NgAPq+xv9Zv2Y5WgQUS2RqVySE2PsQ6r8BgMbAHr9RLHo9N1NMSEjAkCFDUFpaioSEBNTW1iIpKQm1tbW8/0Wv16O6+lbZiZqaGuj1euj1epw9e5Y/bjQa0a9fP8Hn5ebmIjc3l//b+n5KMBgMLl8bDIj137xlPVi7nSVN16/BuGU9NF6avdvntrQDaPnuNJhOP4j52ZfAWK1CzJNmoE4XDsj4Ps0TpgL29cFS0tA6YWrIvQ+h/hsAQncM7BcAFvxio6+WlhY0Nzfz/z59+jQyMjKQnZ2N/fs5c8X+/fsxZMgQAEB2djYOHDgAlmVx4cIFREdHIykpCVlZWTh16hQaGxvR2NiIU6dOISsry1fdCmn8IkzZySZTmpQ0aGYvstm0Sy7WG5WF3TUYzNAcXmERRKjjFyuW+vp6vPHGGwAAk8mEe++9F1lZWbjjjjuwZs0a7Nu3jw83BoBBgwbh+PHjmD9/PsLDwzFnzhwAQGxsLKZMmYKlS5cCAKZOnUoRYT7CH8KUPa3cLL4TfYjOVglCDL9QLKmpqXj99dcdjsfFxeHFF190OM4wDGbPFq64OnbsWIwdO1b1NhIK8YcwZZF6Yf6Wg0MQwYZfKBYi+PB1mLK5qgK4csnxg/AIsPeOd36tn4dXE4Q/Q4qFcAmL8JXKOvdpmO2ebbb7ilhoawW2rhet8xUoRTcJwp/xC+c9EVhYhC97ZD/avz0O9sh+rvy6jP1FvIWkH8XKge+AE4c/QRDOIcVCKCcAhK8zP4pSx76/Fd0kCH+GFAuhGLZSeGXiV8J30gwuWEAEMcWj9DhBEI6QYiEUYa6qAMp+FPzMn4SvJc8Ed98DhIXZfigVnSakkPyx6CZB+DHkvCeUsWebY/FFgCvK6EPhKxrJZbcPvbMoL19HsxFEMECKhVCEqLkrPcNnwtdZJJfS6DQqGkkQ7kGmMEIRoj6ILl293BIrAiCYgCBCCVIshDL80AdBkVwE4V+QKYxQhL0PIjK1K1onTPWpD8If6pIRBHELUiwEAGVlTKx9EAn+UIDRH+qSEQTBQ4qFCPgyJhTJRRD+BSkWQtr5HSDRURTJRRD+AykWgpzfErhS6ZiqIxOhDimWEEJM4AWj81sN4e6KiTDQzYoEoQakWEIEKYEXyM5vIQUCQB3h7oqJMAjMigThLqRYQgUJgaeZvSggnd9iyhLpGaoId1dMhGqbFcUUZ6B9V4Q4wWg6JcUSIjgTeAHp/BZTli3NgqcrFe6umAjVNCsKKs4LJQDDAMaqW8fI1BawBKvplBRLiBCMfhRXFIWi2eGkGcDFs7wQBwDoU6RNhGqaFYUUp9CumFarMb5/leXAjTogPglMl7SgmAUHJUFqOiXFEioEsB9FDDFlCY2WK5Xf3n7rWEoat9e90tkhy0r/bf9oFXNqlChOts7oMPsFANRUgr18XvEsWE3zjKdNPe7c39dmqGCNyCTFEiIESxKhtSBAZBSQZLCdxWu0QL3djzIsHJg0A8zBf4BVMjvcs81xhVBbDezZBtOAbGDrBqC9HdfDw4FZz0A7NEexoJI6X1RxChEZJTz7ldNPgTapZZ4Ru5fp0Xnc9+Hmu+hOW81VFWBf/wP/HVtMjebnX/Xa7yIYLQkAKZaAw50ZVkD6UawQnJHrU7jNvFqagerrQE2l44XtbcCf14JN7yF4X6HZobmqAuzZk8Ln/1AKHNl/60BrC5CfB9ONeuCr/3PwiZgyMoGWZofvy6nQrazg9rmx3v8myQCYTMCNWttGXb0MNsG17ZgdUNM8I3avDSvBdvbLLb+CG21lt+cLThzY7fnA3GWi1wkGVBgMytptIQgtCQAploAiWB19shESIsYqML36QTN3GUxvvCCsWADAbAIqy4U/u14G0xsv2IYrv/EC0FAvfH5lmfDxnX8GzGbbY7XVtjNi6+9LhtAFwCmX9Axua4JJMzjBd+qo7XXGKs6pL4HcWbCa5hlWbMztN4tzUXG51dZL55Udh/hvsGPFBkAX7vyZdgSLJcEeUiyBhA8dfVIrJW/ZqZ0JEaemI42GW+FYO+MBoK4GqKu5Fa6c3MXxHJsHijzFXqkIUVUBNm8ZTIZUoOyK8Dn2Qre1BUyXrtB0fscmkag3RMVwpkCzyfEzJ7NgGxNj9XXBc6wVk/X59aldYRaocM1tYy3SRwFcUVxeNyWJ/AabPt4EzJrr0i0D3ZIgBCmWAMJXjj6plVJHR5vXVlFOhYiQWcGamDhOwEopjaoKoLbGtQZqNPKUS02l+MpKBOvvWFSBNjcJK5XkLmAUVAsA4KigrBST/fkt588A3512/M7FtrEWGSeXlIE7pqTMPo4rP8txEcR+ayajjyt8+xm00VcAIbp7o6cdfRIrpaaPN3lv90Y5m4ylZwARUY7XarTAr2YBpd85f44c5SDEhKncc9whIlLwsM13LDYO8YnC9zSkSit5oe/XbOJWbn0GgBmaY6uYZO7YKTrh6XabapvFaVLSwCxYAWZojnBbJWAens2tYK3Rp3DHxa4R+a1p9S76WIIUWrEEEj5y9EmtlExhYYqucQcpe7TwrFsDhEdwK5XHnuUc4h3t4g+wEJ/ImcekyLwT+OkyF9LcGRXGnPkGrNCKwRlxCZwPJVHPhURvXS/5HYuNA/ZsA3v5gsPtnU08RL8rQyq0i1fJPt/+uOgKMz3jVntVMJ+6akrSpKTBvHiVsnaI/AZjpj+FOuVND1pIsQQQPnP0RQqsADqPaxMSISSqPbWKEhUigrNuM5i777nlm/i/T5w/ICUNeHQe8Oc1wsmInecwsxfy427o3OzM9K9/KOkKD9Mvi28jAFnfsdA4mF2ceCj1U8g+X6I9/uJXUNoOsd+gLi0d8PWGd35EUCqWkydPYvPmzTCbzRg3bhwmT56s+jNMR/YDWzfgekc7oNUBPW4HwsI9Luz95QdpIWb6U2j57rTPwyXFoo+sj4v6JhKTgdR02xXQ86/a5ssAgiHD1ojePzoWMHUI+xs6x0ooAEKr8B1yeeKhVCHJPD9YI5787TfojwSdYjGbzXj//fexbNkyJCcnY+nSpcjOzkb37t1Ve4bpyH4gP8/qoW18iGJQhgCLRSG1NEOXlg7GH4THjTrnx0UEopBN3iXhISZw0zOEncSdTnVApWrMLrZbqQKwPz8ytStaBaLCXG0PEfgEnWIpLS1FWloaUlNTAQAjRoxAcXGxqooFWzdIfx4EtX6scWb68AvhEZ8kHGmVkMT/09MzaLH7sx+sF76g06luzs/zeb0oV0xClvMTOk2BBGEh6BSL0WhEcnIy/3dycjIuXrzocF5BQQEKCgoAAKtXr4ZBQebsdRkOYF1TA/SuZuP6GR2PzUPdD6UwXb/GH9OmdkPiY/Og0+kUjZ2nqO9xG1ouOya2RXa/DQnW7TMYgL6vqfpsmzEQuH99alcuJNe+baldkWAwwNjUIOinCpR3yF/eAV9CY2BL0CkWueTm5iI3N5f/W9GMSxcGtLVKntIRExc8szhdOMzPvgTGaiZunjQDdbpwGDo6/KKf5glTAQFfT+uEqR5vn8HJjN1Z28wxcYLXBco75Kz/oUCojkF6errg8aBTLHq9HjU1t0JFa2pqoNerHKH06FxbH4s9QVDrxx6/MHdJ4M+OYqdtC9J6UUToEnSK5Y477kB5eTkqKyuh1+tRVFSE+fPnq/oM7dAcmADO1+LlqDBCHH9WflJt82elSBCuEHSKRavV4oknnsCqVatgNpsxZswY9OghXNXWrecMzQGG5oTsEphQF39WigShlKBTLAAwePBgDB482NfNIAiCCEmoVhhBEAShKqRYCIIgCFUhxUIQBEGoCikWgiAIQlUYlhXbDo8gCIIglEMrFjdZsmSJr5vgU0K9/wCNQaj3H6AxsIcUC0EQBKEqpFgIgiAIVSHF4ibWhSxDkVDvP0BjEOr9B2gM7CHnPUEQBKEqtGIhCIIgVIUUC0EQBKEqQVmE0hucPHkSmzdvhtlsxrhx4zB58mRfN8kjvP322zh+/DgSEhKQl8ftQdPY2Ig1a9agqqoKKSkpWLBgAWJjY8GyLDZv3owTJ04gIiICc+bMQWZmpo974B7V1dXYuHEj6urqwDAMcnNz8cADD4TUGLS1teGll15CR0cHTCYThg0bhmnTpqGyshJr165FQ0MDMjMzMW8et6Noe3s7NmzYgEuXLiEuLg7PPfccunTp4utuuI3ZbMaSJUug1+uxZMmSkOu/IlhCMSaTiZ07dy5bUVHBtre3s4sXL2avXr3q62Z5hJKSEvb7779nFy5cyB/78MMP2V27drEsy7K7du1iP/zwQ5ZlWfbYsWPsqlWrWLPZzJ4/f55dunSpL5qsKkajkf3+++9ZlmXZmzdvsvPnz2evXr0aUmNgNpvZ5uZmlmVZtr29nV26dCl7/vx5Ni8vjz148CDLsiz77rvvsnv37mVZlmW/+OIL9t1332VZlmUPHjzIvvnmm75puMp89tln7Nq1a9nXXnuNZVk25PqvBDKFuUBpaSnS0tKQmpoKnU6HESNGoLi42NfN8gj9+vVDbGyszbHi4mLk5OQAAHJycvi+f/PNNxg1ahQYhkHv3r3R1NSE2tpar7dZTZKSkvgVR1RUFLp16waj0RhSY8AwDCIjIwEAJpMJJpMJDMOgpKQEw4YNAwCMHj3aZgxGjx4NABg2bBi+/fZbsAEeI1RTU4Pjx49j3LhxAACWZUOq/0ohxeICRqMRycnJ/N/JyckwGo0+bJF3qa+vR1JSEgAgMTER9fX1ALhxMRgM/HnBNi6VlZW4fPkyevbsGXJjYDab8fzzz2P27NkYMGAAUlNTER0dDa1WC4DbEtzST+vfh1arRXR0NBoaGnzWdjXYsmULZs6cCYZhAAANDQ0h1X+lkGIh3IJhGP7HFsy0tLQgLy8Pjz32GKKjo20+C4Ux0Gg0eP311/HOO+/g+++/R1lZma+b5DWOHTuGhISEgPeVeRNy3ruAXq9HTU0N/3dNTQ30er0PW+RdEhISUFtbi6SkJNTW1iI+Ph4ANy7W2zQHy7h0dHQgLy8P9913H4YOHQog9MbAQkxMDPr3748LFy7g5s2bMJlM0Gq1MBqNfD8tv4/k5GSYTCbcvHkTcXFxPm6565w/fx7ffPMNTpw4gba2NjQ3N2PLli0h039XoBWLC9xxxx0oLy9HZWUlOjo6UFRUhOzsbF83y2tkZ2dj//79AID9+/djyJAh/PEDBw6AZVlcuHAB0dHRvLkoUGFZFu+88w66deuGiRMn8sdDaQxu3LiBpqYmAFyE2OnTp9GtWzf0798fX3/9NQCgsLCQ/w38/Oc/R2FhIQDg66+/Rv/+/QN6RffII4/gnXfewcaNG/Hcc8/hrrvuwvz580Om/65Amfcucvz4cXzwwQcwm80YM2YMHnroIV83ySOsXbsWZ8+eRUNDAxISEjBt2jQMGTIEa9asQXV1tUOo7fvvv49Tp04hPDwcc+bMwR133OHrLrjFuXPn8OKLLyIjI4MXDtOnT0evXr1CZgx+/PFHbNy4EWazGSzLYvjw4Zg6dSquX7+OtWvXorGxEbfffjvmzZuHsLAwtLW1YcOGDbh8+TJiY2Px3HPPITU11dfdUIWSkhJ89tlnWLJkSUj2Xy6kWAiCIAhVIVMYQRAEoSqkWAiCIAhVIcVCEARBqAopFoIgCEJVSLEQBEEQqkKKhfAIO3bswLRp0zB//nzBz+fPn49p06Zhx44d/LGNGzdiyZIlHmlPWVkZduzYwedjeJrCwkJMmzYNLS0tgp9XVlZi2rRpOHbsmKL7lpSUYNq0abhy5YrkeUVFRXwuhTXLly/nq1SrgaUf//Ef/+FSPSxvtZPwLpR5T3iMsLAwVFZW4vvvv7fJ5SgtLUVVVRXCwsJszp8yZQra2to80pby8nLs3LkTo0ePRkxMjEeeoYSkpCS88sor6Natm0fuf/jwYTQ0NPDFED3FoUOHAHAVBs6dO4e+ffsqul6snbNnz+brcBGBB61YCI8RGRmJu+66ixc+FoqKinDXXXfxFXMtpKWlISMjw5tN9BlhYWHo3bu3Xyg5dzh06BB69eqFiIgIh+/ZHbp3746uXbuqdj/Cu5BiITzKiBEjcPjwYd5MwrIsDh8+jBEjRjica28Ks5iTrly5gpUrV2LWrFl47rnncOTIEZvrnnnmGWzdutXmmLUpqqSkBH/84x8BAHPnzsW0adPwzDPP8OdWV1dj7dq1ePzxxzFz5kysWrXKocjirl27MG/ePMyYMQO/+93vsGrVKtTV1bk8LkKmsPb2drz33nt47LHH8MQTT+DDDz/E3/72N0ybNs3h+oaGBrz55puYNWsW5s6di7179/Kfbdy4EUeOHMHZs2cxbdo0B5OjhZ9++gnTpk1DSUmJzfGWlhbMmjULf//73yX7cPXqVVy5cgVjxoxBdnY2Dh8+DJPJ5HBeQUEBFi1axI9dXl4ebt68KdlOa1OYxfx39epVm/s2NjZi+vTp+PLLL/lj3333HV566SXMnDkTTzzxBN555x00NzdL9oNQHzKFER5l6NChyM/P580k3333HW7cuIGhQ4fio48+knWPdevWITc3F7/85S/x+eefY+3atdiwYYPN1gVS3H777Zg1axY+/PBDLF68GImJibwZrrGxEf/1X/+FuLg4/O53v0NERAR2796NlStXYt26dQgPD8f+/fuxa9cuzJgxAz169EBDQwO+/fZbUf+Jq3z00UcoLCzE9OnT0b17d3z11VcoKioSPPfdd99FTk4OcnNzcfDgQbz//vu444470LNnT0yZMgXV1dW4efMmnnzySQAQHKvu3bujV69eKCwsRP/+/fnjFgVx3333Sbb30KFD0Gq1GDp0KBITE3Ho0CGcOXMGWVlZ/Dl//etfsWPHDowfPx6zZs1Ca2srjh8/jpaWFtnt7Nu3L5KSknD48GH06NGDP3706FEA4AuDnjt3DitXrsSQIUOwcOFCNDY2Ytu2bWhqasKiRYsk+0KoCykWwqPExMQgKysLhw4dQt++fVFUVIS7777bofS8FA8++CDGjh0LAMjMzMTvfvc7HDt2DOPHj5d1fXR0NNLT0wEAP/vZz2y2if2///s/tLa24vXXX+c3NOvTpw+eeeYZ7Nu3DxMmTEBpaSkGDhyI+++/n7/OIszUoqGhAQUFBXj44Yf5Ypd33323qEAcOXIkpkyZAoDbjO3YsWM4cuQIevbsibS0NL5uWe/evSWfO3bsWGzZsgVPPvkkb5osLCzEz3/+c6cVeQ8dOoSBAwciLi4OWVlZiImJwcGDB3nF0tTUhF27duGBBx7Ab3/7W/4667GT006NRoNhw4ahqKjIZvV2+PBh3H333fz39j//8z/o06cPFixYwJ+j1+uxYsUKXLlyJWTMrP4AmcIIjzNixAgcOXIE7e3t+PrrrzFy5EhF19999938v+Pi4pCQkKDa5llnzpzBwIEDERUVxe+OGBUVhczMTFy6dAkAp4xOnDiBHTt2oLS0FGazWZVnW3PlyhW0t7fbVMlmGAY///nPBc+3HhOdToeuXbvabOUgF4tJ8vDhwwCAiooKnDt3DmPGjJG8rrS0FNevX+ev1+l0GDp0KIqLi/kAjAsXLqCtrc3pveS2s6ysDD/88AMAruLyt99+yz+/tbUVFy5cwPDhw/nv0WQy4c4774RWq+W/S8I70IqF8DjZ2dl499138fHHH6O1tVVUWIph7+DW6XSqRY81NDTg4sWLgianAQMGAADGjBmD5uZmfPnll9i5cyfi4uLwi1/8AtOmTYNGo87czOKvsezrYsH+bwv2Kz6dTof29nbFz42KisLw4cNRWFiIMWPGoLCwEImJiTbmLCEOHjwIrVaL/v378yHcgwcPxr59+3D8+HEMGzaM3zUxMTFRcbvs6d27NwwGA4qKivCzn/0MR44cgUaj4bcraGpqgtlsRn5+PvLz8x2ud0XpEq5DioXwOJGRkRg8eDD+9re/Yfjw4Q7RYO4SFhaGjo4Om2ONjY2yro2NjUV2djZvVrImKioKAGeKmThxIiZOnIjq6mocPHgQH3/8MfR6vWxznDMswvfGjRu8acfyt6cZN24cXnzxRZSXl+PAgQMYNWqUpMI0m828H2bOnDkOnx86dAjDhg3jTWl1dXWiClIuDMNg+PDhOHz4MB555BEUFRVh0KBB/HcUHR0NhmHw61//GoMGDXK4PtD3xAk0SLEQXmH8+PFob2/HL37xC9XvnZycjGvXrtkcO336tM3fOh33qtvP6u+66y7eKRweHu70WQaDAZMnT8ZXX32Fn376yc2W3yIjIwNhYWEoLi7GpEmTAHARdEoTKC0oWcH06dMH6enp+NOf/oTq6mqnuS9nz55FbW0tZsyYgZ49e9p89tVXX+Hw4cNobm5G7969ER4ejsLCQjz66KNut3PkyJH47LPPcOzYMZw9exbPPvss/1lkZCR69eqFsrIyTJ06Vdb9CM9BioXwCv3797eJPFKTIUOGYPPmzfj000/Rs2dPfP311w6hqRbn/T//+U+MHDkSERERyMjIwMSJE/Gvf/0LL7/8Mv7t3/4Ner0edXV1OHv2LO68807ce++92LRpE2JjY9GrVy9ER0ejpKQEFRUVmDFjhtO2HT161EFhCW38FRcXh3HjxmHHjh3QarV8VFhzc7NLuw9269YN33zzDY4ePYrk5GQkJSVJbpE8ZswYfPTRR+jdu7fTpM1Dhw4hJiYGDzzwgEOSa1RUFA4cOICjR48iJycHU6ZMwSeffIKOjg4MHjwY7e3tOH78OH79619Dr9cramdmZibS0tKwadMmhIeHO5hUZ86ciRUrVoBhGAwbNgxRUVGorq7G8ePH8Zvf/IZ/BwjPQ4qFCHhyc3Nx/fp1fP755+jo6MCoUaMwZcoUbNq0iT8nJSUFs2bNwueff44vvvgCycnJ2LhxI+Lj47Fq1Sp88skn+OCDD9DU1ISkpCT06dMHt912GwDOvv/ll1/in//8J9rb25GWloann34a99xzj9O2bdiwweHYnDlz0K9fP4fjM2fOhMlkwl/+8hdoNBrcd999GDNmjNN8EiHGjx+Py5cv409/+hOampowdepUwXwYC/fccw8++ugjp472jo4OHDlyBMOGDXNQKgAn/Lt164ZDhw4hJycHv/rVrxAbG4u///3vKCgoQExMDPr27cubQ5W2c8SIEfj0008xYsQIRERE2Hx255134uWXX8aOHTuwYcMGmM1mGAwGZGVlqeLnIeRDO0gShB+zcuVKdHR04OWXX/boc/bu3YuPPvoI7777rqJQcIIQglYsBOEnfPvttygtLcXtt98Ok8mEoqIinDlzBgsXLvTYMysrK1FeXo5du3Zh9OjRpFQIVSDFQhB+QmRkJIqLi7Fr1y60t7eja9eumDNnDoYNG+axZ/7lL3/BwYMH0a9fPzz88MMeew4RWpApjCAIglAVyrwnCIIgVIUUC0EQBKEqpFgIgiAIVSHFQhAEQagKKRaCIAhCVf4/dFPj75OqiNYAAAAASUVORK5CYII=\n", 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# Driver 2 enter codes here\n" + "# Driver 2 enter codes here\n", + "columns = ['Minutes Sedentary','Minutes Lightly Active','Minutes Very Active']\n", + "for column in columns:\n", + " plt.scatter(fitbit.loc[:,column],fitbit.iloc[:,2])\n", + " plt.xlabel(column, fontsize=15)\n", + " plt.ylabel('Steps', fontsize=15)\n", + " plt.show();" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -128,7 +686,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.10.3" } }, "nbformat": 4, diff --git a/your-code/challenge-3.ipynb b/your-code/challenge-3.ipynb index 93106c2..777d402 100644 --- a/your-code/challenge-3.ipynb +++ b/your-code/challenge-3.ipynb @@ -15,12 +15,10 @@ "source": [ "# import libraries here\n", "import pandas as pd\n", - "'''\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", - "%matplotlib inline\n", - "'''" + "# %matplotlib inline" ] }, { @@ -32,9 +30,152 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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PassengerIdSurvivedPclassNameGenderAgeSibSpParchTicketFareCabinEmbarked
010.03Braund, Mr. Owen Harrismale22.010A/5 211717.2500U0S
121.01Cumings, Mrs. John Bradley (Florence Briggs Th...female38.010PC 1759971.2833C85C
231.03Heikkinen, Miss. Lainafemale26.000STON/O2. 31012827.9250U0S
341.01Futrelle, Mrs. Jacques Heath (Lily May Peel)female35.01011380353.1000C123S
450.03Allen, Mr. William Henrymale35.0003734508.0500U0S
\n", + "
" + ], + "text/plain": [ + " PassengerId Survived Pclass \\\n", + "0 1 0.0 3 \n", + "1 2 1.0 1 \n", + "2 3 1.0 3 \n", + "3 4 1.0 1 \n", + "4 5 0.0 3 \n", + "\n", + " Name Gender Age SibSp \\\n", + "0 Braund, Mr. Owen Harris male 22.0 1 \n", + "1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 \n", + "2 Heikkinen, Miss. Laina female 26.0 0 \n", + "3 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 \n", + "4 Allen, Mr. William Henry male 35.0 0 \n", + "\n", + " Parch Ticket Fare Cabin Embarked \n", + "0 0 A/5 21171 7.2500 U0 S \n", + "1 0 PC 17599 71.2833 C85 C \n", + "2 0 STON/O2. 3101282 7.9250 U0 S \n", + "3 0 113803 53.1000 C123 S \n", + "4 0 373450 8.0500 U0 S " + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "titanic = pd.read_csv('./titanic.csv',low_memory=False)\n", "titanic.head()" @@ -49,11 +190,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], - "source": [ - "#your code here\n" + "outputs": [ + { + "data": { + "text/plain": [ + "PassengerId int64\n", + "Survived float64\n", + "Pclass int64\n", + "Name object\n", + "Gender object\n", + "Age float64\n", + "SibSp int64\n", + "Parch int64\n", + "Ticket object\n", + "Fare float64\n", + "Cabin object\n", + "Embarked object\n", + "dtype: object" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#your code here\n", + "titanic.dtypes" ] }, { @@ -67,20 +232,44 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['PassengerId', 'Survived', 'Pclass', 'Age', 'SibSp', 'Parch', 'Fare'], dtype='object')" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here- numerical variable\n" + "# your code here- numerical variable\n", + "titanic.select_dtypes('number').columns" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['Name', 'Gender', 'Ticket', 'Cabin', 'Embarked'], dtype='object')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "#your code here- categorical variable\n" + "#your code here- categorical variable\n", + "titanic.select_dtypes('object').columns" ] }, { @@ -94,11 +283,27 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# your code here\n" + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "# plt.style.use('classic')\n", + "# plt.figure(figsize=(12,6))\n", + "\n", + "plt.style.use('classic')\n", + "fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(12, 6))" ] }, { @@ -110,11 +315,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "plt.hist(titanic['Age'])\n", + "plt.show();" ] }, { @@ -126,11 +344,68 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "plt.hist(titanic['Age'], bins=10)\n", + "plt.show();" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.hist(titanic['Age'], bins=20)\n", + "plt.show();" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "plt.hist(titanic['Age'], bins=50)\n", + "plt.show();" ] }, { @@ -142,11 +417,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ - "#your comment here\n" + "#your comment here\n", + "# Yes, reducing bins ranges gives a more accurate visual to the distribution plot" ] }, { @@ -158,11 +434,33 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# your code here\n" + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here\n", + "sns.histplot(titanic['Age'])" ] }, { @@ -176,20 +474,62 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# your code here- 1st way\n" + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "([,\n", + " ],\n", + " [Text(-0.48083677220945115, 0.9893411941747885, 'male'),\n", + " Text(0.5245491049970633, -1.0792813518479694, 'female')],\n", + " [Text(-0.262274603023337, 0.5396406513680664, '64.4%'),\n", + " Text(0.3059869779149536, -0.629580788577982, '35.6%')])" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your code here- 1st way\n", + "a = list(titanic['Gender'].value_counts())\n", + "b = list(titanic['Gender'].unique())\n", + "explode = [0, 0.1]\n", + "plt.pie(a, labels = b, explode=explode, autopct='%.1f%%')" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here- 2nd way\n" + "# your code here- 2nd way\n", + "titanic.groupby('Gender').size().plot(kind='pie', explode= explode, autopct='%.1f%%');" ] }, { @@ -201,11 +541,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "plt.hist(titanic['Pclass'], bins=3);" ] }, { @@ -217,11 +569,23 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code here\n" + "# your code here\n", + "plt.boxplot(titanic['Age']);" ] }, { @@ -233,11 +597,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ - "# your comment here\n" + "# your comment here\n", + "# 50% of total Age entries are within 20 to 40 range" ] }, { @@ -249,11 +614,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code here\n" + "#your code here\n", + "plt.hist(titanic['Age']);" ] }, { @@ -265,11 +642,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ - "#your comment here\n" + "#your comment here\n", + "# Most values are concentrated around 30 years" ] }, { @@ -283,20 +661,45 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#your code-1st way\n" + "#your code-1st way\n", + "plt.scatter(titanic['Age'],titanic['Fare']);" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "# your code-2nd way\n" + "# your code-2nd way\n", + "data = titanic.loc[:,['Age','Fare']]\n", + "sns.scatterplot(data=data, x=\"Age\",y=\"Fare\");" ] }, { @@ -310,11 +713,25 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#your code here\n" + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#your code here\n", + "plt.subplots(figsize=(16,8))\n", + "\n", + "sns.heatmap(titanic.corr(), annot=True);" ] }, { @@ -326,11 +743,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ - "#your comment here\n" + "#your comment here\n", + "# Pclass with Age &\n", + "# Pclass with Fare" ] }, { @@ -344,11 +763,47 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "#your code here\n" + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "classes = [1,2,3]\n", + "for i in classes:\n", + " plt.boxplot(titanic[titanic.loc[:,'Pclass'] == i]['Age'])\n", + " plt.xlabel(f'Class {i}', fontsize=15)\n", + " plt.ylabel('Age', fontsize=15)\n", + " plt.show();" ] }, { @@ -360,19 +815,49 @@ "*Hint: use Facetgrid to display the distribution of `Age` for each categorical value of `Gender`*" ] }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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U19ejvr4eOp0O1dXVeOWVV+Dj44P169e3KKQAEBsbi7y8PFy6dAkNDQ3Izc1FaWkpoqKibL0pREREALpgz/TkyZPYvHmz4fWUKVMAAGlpabh48SKuXr0KpVKJqVOnGvqMHDnS8J7HHnsMN2/eRHJyMm7evIkBAwbgnXfe4W0xRETUZWxeTKOiotrciwwLC8O8efM6HCMuLg5xcXGWDo2IiOie2O3VvERERI6CxZSIiMhMLKZERERmYjElIiIyE4spERGRmVhMiYiIzMRiSkREZCYWUyIiIjOxmBIREZmJxZSIiMhMLKZERERmYjElIiIyE4spERGRmWz+1Jgvv/wSOTk5KCkpgUajwalTpyASiQztJSUlSE9Px5UrVyAWixETE4N58+ZBIBAAAPR6Pfbs2YNjx45BrVZjyJAheOWVVxAQEGDrTSEiIgLQBXumEokEsbGxSEhIaNGm0WiQmJiI0NBQ5OTkICUlBceOHcOhQ4cMffbv34+8vDykpKQgJycHoaGhSExMxO3bt225GURERAY2L6bh4eGYNGkSZDJZi7avvvoKOp0OCxcuhIuLCwIDAzFr1izk5OQY+uTm5mLmzJkIDAyEi4sLFi5ciIaGBvz973+34VYQERH9zq7OmZaUlCAoKMjosG9ISAiUSiXUajVqa2tx48YNDB061NAuEokwePBg/Pzzz10RMhERke3PmbZHrVZDIpEYLZNKpQDuHALW6/UA0KKPRCKBRqOxTZBERER3satiKhaLUVVVZbRMpVIBANzd3Q3FtLa21qhPbW0tvL292x07KSkJzs7OAAC5XA65XG6psIlsRqFQQKFQGF77+fkhPDzcZutnHlF3YelcsqtiOmjQIJw6dQpNTU2GQ71FRUWQyWQQi8UA7mzw5cuXMXz4cABAU1MTiouLMXny5HbHTk5OhoeHh3U3gMjK7i5gp0+ftun6mUfUXVg6l2x+zrSpqQn19fVoaGgAANTX16O+vh46nQ7jx4+HUChEVlYWtFotrl27hgMHDiA2Ntbw/tjYWBw4cADXrl2DVqtFVlYWevTogUcffdTWm0JERASgC/ZMT548ic2bNxteT5kyBQCQlpaGsLAwpKSkYNu2bYiNjYW7uzumTZuG+Ph4Q/9Zs2ZBo9FgxYoV0Gg0CA4OxubNm+Hm5mbrTekykZFPQqmsbrWttFSJVi6U/v9tvyA4eHyrbTKZF/LzcywUIRHR/cXmxTQqKgpRUVFttg8aNAjp6elttgsEAixcuBALFy60RngOQamshkz2Vatt1661PXlFY6Owzfcpla0XWSIi6phd3RpDRETkiFhMiYiIzMRiSkREZCYWUyIiIjOxmBIREZmJxZSIiMhMLKZERERmYjElIiIyE4spERGRmVhMiYiIzMRiSkREZKZOFdO0tLRWl2/bts0iwRARETmiThXTU6dOtbr8iy++sEgwzaqrq7F+/Xo89dRTiImJQUJCAi5cuGBov3DhAhYvXoyoqCjMnj0bubm5Fl0/ERFRZ5j01BilUgkA0Ov1qKiogF6vN7SVlpbC2dnZokFt3boVv/32G3bv3g2pVIrPPvsMSUlJ+PTTT6HRaLBq1SosXrwYMTExKCwsxJo1a+Dl5cVnmhIRUZcwqZjOnTsXAoHA8P9mer0eQqEQL7zwgkWDKi8vR3R0NHr27AkAmDp1Knbs2IGysjKcP38e/v7+iIuLAwCEhYUhOjoahw8fZjElIqIuYVIx/eSTTwAACxYsQFZWlmG5UChEz549Lb5nOnv2bBw7dgyRkZHw9PRETk4OZDIZBg0ahH379iEkJMSof3BwMBQKhUVjICIiMpVJxdTPzw8AkJeXZ9VgmoWGhuLkyZOYMWMGhEIhPDw8sG7dOri4uECtVsPf39+ov1QqhVqttklsREREdzOpmP7RhQsXcPnyZWg0GqPlCxcutEhAOp0OK1aswMiRI5GbmwuxWIyzZ89i1apV2Lp1K8RiMWpra43eo1KpIBaLLbJ+IiKizupUMd29ezf27duHoKAguLq6GpY3n0+1BJVKBaVSif/6r/+Ch4cHACAiIgIymQznz59HUFAQCgoKjN5TVFSEoKCgdsdNSkoyHI6Wy+WQy+UWi5nIVhQKhdEpDT8/P4SHh9ts/Y6YR4GBw1BRUdZhvz59/HH16o82iIjsgaVzqVPF9NixY9i2bRuGDRt2zyvsiKenJwYMGICcnBwsXboUbm5u+Mc//oF//vOfGDJkCPr27Yt9+/YhNzcXU6ZMwU8//YS8vDwkJia2O25ycrKhONu7yMgnoVRWt9leWqqETGbDgMhu3F3ATp8+bdP1O1IeNauoKMO4cbc67HfunGNtF5nH0rnUqWLa2NiIoUOHmrVCU2zYsAHvvfce5s6di/r6evj4+GDZsmUYM2YMAGDTpk3IyMhAZmYmevXqhRdeeAHjx4+3ely2olRWQyb7qs32a9cCbBgNERF1pFPFdNKkSThz5gwee+wxK4Vzh7+/PzZs2NBme1hYGD788EOrxkBERGSqThXTmpoavPPOOzhy5AgeeOABo7akpCSLBkZEROQoOlVMnZ2dMXHiRGvFQkRE5JA6VUxXrlxprTiIiIgcFh/BRkREZKZO7ZnOnDmzzXtK9+/fb5GAiIiIHE2niundsxz9+uuvOHbsGKZOnWrRoIiIiBxJp4ppVFRUi2Xjxo3Dzp078cwzz1gsKCIiIkfS6bl57zZo0CB8//33loiFulBp6S8IDm574guZzAv5+Tm2C4iIyIF0qpjqdDqj13V1dThy5Ah69epl0aDI9hobhe3OuqRUdp8ZpoiILK1TxfTxxx9vcQGSm5sb3njjDYsGRURE5Eg6VUxTU1ONXru7u6Nfv35wc3OzaFBERESOpFPFNCwszEphEBEROa5OX4BUUFCAI0eOoLKyEr6+voiJiUFERIQ1YiMiInIInSqmCoUC27Ztw5QpU/Dwww+jvLwcmzZtwssvv9zqbTPmKCwsxK5du3D58mUIhUIMHDgQ6enpEAqFKCkpQXp6Oq5cuQKxWIyYmBjMmzfPog8pJyIiMlWniumBAwewfv16w3NFAeCRRx7BX//6V4sW08LCQqxcuRLLli1DcnIynJycUFRUBIFAAI1Gg8TERERFRSElJQXl5eVYuXIlxGIx4uPjLRYDERGRqTo1N29lZSVGjx5ttCwsLAz/+te/LBrU+++/jylTpkAul8PV1RUikQjDhg2DQCDAV199BZ1Oh4ULF8LFxQWBgYGYNWsWcnJyLBoDERGRqTpVTHv37o2LFy8aLbt06RK8vb0tFlBdXR0KCwshFArx0ksvITY2FosXL8aZM2cAACUlJQgKCoJIJDK8JyQkBEqlEmq12mJxEBERmarTE92vWbMGU6ZMgUwmg1KpRF5eHl566SWLBaRSqaDT6XDixAkkJydj8ODBKCgowPr16+Ht7Q21Wg2JRGL0HqlUCgDQaDQQi8UWi4WIiMgUnZ6b183NDceOHcM333yD3r1747XXXsOECRMsFlDzPatyuRwhISEAgPHjxyMsLAxff/01xGIxqqqqjN6jUqkA3LnvlYiIyNZMKqY///wzzpw5gxdeeAETJkwwKp67d+9G3759ERQUZJGAJBIJZDJZm1fmDho0CKdOnUJTU5PhUG9RURFkMlm7e6VJSUlwdnYGcKdQy+Vyi8RLZEsKhQIKhcLw2s/PD+Hh4TZbP/OIugtL55JJxXT//v0YO3Zsq23+/v7Yv38/Vq9efc9B3C0uLg6ffPIJJk6ciMDAQJw9exYXL17EggULMHDgQHz44YfIysrCs88+C6VSiQMHDmD69OntjpmcnAwPDw+LxUjUFe4uYKdPn7bp+plH1F1YOpdMKqY//vgjXn311VbbIiIisGfPHrOCuNuMGTOg1WqRlJSE2tpa+Pv7Y+3atRg2bBgAICUlBdu2bUNsbCzc3d0xbdo03hZDRHYhMHAYKirK2u3Tp48/rl790UYRkS2YVExramraPITq7u6OmpoaiwYFAHPmzMGcOXNabRs0aBDS09Mtvk4iInNVVJRh3Lhb7fY5d457992NSbfGuLm5obKystW2yspKuLi4WDQoIiIiR2JSMX3wwQdx6NChVtv+53/+B6NGjbJoUERERI7EpMO8c+bMwdKlS6FSqTB58mT4+PigqqoKJ0+exJkzZ5CZmWntOLudyMgnoVRWt9pWWqqETGbjgIiI6J6ZVEwDAwOxadMmpKam4sSJExAIBNDr9fD398c777yDgIAAa8fZ7SiV1ZDJvmq17do1fp5ERI7E5EkbwsLCsHfvXpSXl+PmzZvo1asX+vbta83YiIiIHEKnn2fat29fFlEiIqI/6HQxJSK6X5lyD6lWq7VRNGRPWEyJyGHZuriZcg/p6dPOFlsfOQ4WUyJyWCxuZC869TxTIiIiaonFlIiIyEwspkRERGbiOVPqUu3NBCWTeSE/P8e2ARER3QO7L6Zvvvkmvv76a2zZsgVjxowBAFy4cAGZmZm4fv06evXqhaeffhqxsbFdHOn9y5yC2N5MUErleEuER0RkdXZdTBUKBerq6oyW3bhxA6tWrcLixYsRExODwsJCrFmzBl5eXnj00Ue7KNL7GwsiEd3v7PacaVVVFXbv3o3XXnvNaLlCoYC/vz/i4uLg5OSEsLAwREdH4/Dhw10UKRF1B3V1jXBz82j3HydkoLbY5Z6pXq9HSkoK5s6dC19fX6O24uJihISEGC0LDg6GQqGwZYhE1O00Ytw4Tbs9eM8qtcUu90xzc3Oh1+sxderUFm1qtRoSicRomVQqhVqttlV4RERERuxuz7S8vBzZ2dnIyMhotV0sFqO2ttZomUqlglgsbnfcpKQkODvf+atSLpdDLpdbJmAiG1IoFEZHYfz8/BAeHm6z9TOPqLuwdC7ZXTH9/vvvcevWLSxZssRo+VtvvYXHHnsMQUFBKCgoMGorKipCUFBQu+MmJyfDw8PD4vES2dLdBez06dM2XT/ziLoLS+eS3RXTxx57zHALTLOZM2fiL3/5C8aOHQuNRoN9+/YhNzcXU6ZMwU8//YS8vDwkJiZ2UcRERHS/s7ti6urqCldX1xbLPT094eHhAQ8PD2zatAkZGRnIzMxEr1698MILL2D8eN6CYU2lpb8gOLj1z7i0VAmZzMYBERHZEbsrpq3Jz883eh0WFoYPP/ywi6K5PzU2Ctu8l/TatQAbR0NEZF/s8mpeIiIiR8JiSkREZCYWUyIiIjOxmBIREZmJxZSIiMhMDnE1Lzmu9m6pudPO22qIyPGxmJJVtXdLDcDbaoioe+BhXiIiIjOxmBIREZmJxZSIiMhMPGdKRHYpMHAYKirK2u2j1WptFI19MuUz6tPHH1ev/mijiO5fLKZEZJcqKsowbtytdvucPu1so2gsq66uEW5u7T/KzpQiaMpndO4cH5lnCyymREQ214hx4zTt9mARdCx2V0w/+OADnDt3DpWVlXB1dUVYWBiWLFmC3r17G/pUVlZi69atuHjxIpycnDBx4kQsXboUTk5OXRg5ERHdr+yumAoEAqxcuRKBgYHQarVIS0tDUlISdu7cCQDQ6XRISkrCoEGDcPDgQahUKqxevRrvvfceli1b1sXRkyW1N+GDTOaF/Pwc2wZEGDnyIVRWVrTbh+fo6H5kd8V00aJFhv87OTlh9uzZWLRoEVQqFaRSKS5duoRffvkFqampEIvFEIvFWLBgATZu3IglS5bA2dkxz6FQS+1N+KBU8mHwXeHGDSX+9CdVu314eJLuR3ZXTO92/vx5+Pr6QiqVAgCKi4shk8ng6elp6BMSEoK6ujqUlpZi0KBBrY4zenQURKLWN9daezmRkU9CqaxutY3T6BERdR92XUy//fZb7N27F2+//bZhmUajgVgsNurXXGg1mrZP6Pfpcxw9erT+F7O19nKUyuo296w4jR4RUfdht8X07Nmz2LhxI5KSkhAeHm5Y7u7uDrVabdRXpVIZ2tpy9WoShMI7h4C9vOTw8pJbIWoi61IoFFAoFIbXfn5+RvlhbY2NWhQX/wUA84gcm6VzyS6L6cmTJ7Ft2zasXbu2xcYFBQWhoqICNTU1hkO9RUVFcHV1Rb9+/docMzAwuc09UyJHIZfLIZf/XsBOnz5t0/X36OGCoKBUm66TyBosnUt2V0wPHz6M3bt3Izk5GSNHjmzRPnLkSPTv3x87duzA8uXLoVKpkJWVhejoaF58RETdhikTO9zvM0DZE7srpunp6RCJRFi5cqXR8s2bN2PkyJEQCoXYuHEjtm7diunTp8PZ2RkTJ07Eiy++2EURExFZQ8cTOzjqDFDdkd0V0/z8/A77+Pn5YdOmTTaIhoiIqGN8agwREZGZWEyJiIjMZHeHeYm6UnsTbQCcxpCIWsdi2oH2vlz5xdp12pu3F7j3n017E23caec0huRYTLkqGOCcyuZiMe1Ae1+u/GLtOu3N2wsA//jHAE6STwTAlKuCAc6pbC4WUzN0tHfE+Xe7DifJt2+BgcNQUVHWbh/eQ2lblnpg+f2KxdQMHe0dcf5dotZVVJRh3Lhb7fbhPZS2xgeWm4PFFO3vYXLvkqhzOHNP98W917axmKL9PUzuXRJ1Fmfu6b6499oWFlO67/BIBBFZGosp3Xd4JIKILI3FlIiILOZ+Pa/KYkrUCe0dIub9q0TA/Xpe1WGLqV6vx549e3Ds2DGo1WoMGTIEr7zyCgICeJiOrIf3rxJRaxx2ovv9+/cjLy8PKSkpyMnJQWhoKBITE3H79m2bxlFdrXC4sR0xZkceW6Gw3tjffPON1ca2JWt+/oDOaiMz7tZYL257ziWHLaa5ubmYOXMmAgMD4eLigoULF6KhoQF///vfbRqHI37BO2LMjjy2QqFAZOSTCA4e3+a/yMgn72ns8+fPWzbYLmLdL3e91UZm3K2xXtzWLKbm5pJDHuatra3FjRs3MHToUMMykUiEwYMH4+eff8YTTzzRhdHR/aqt86n/+tdVaLWuePjh4jbfy0PERI7NIYupRnPn5LZEIjFaLpFIDG3N9Po7fyU1NrY9dZler2uzvaM2na7+nt/bUVtbY1tj3Pbe15l13j22pca9e2xLjvvHsc0Zt6EB6N37aIvltbVJqK090u64169fQ1DQI622VVVVwMenT6ttoaG9odfrIRAI2hzbEprzSK/Xt7sd/793p/u0/rtunXVZcqyuj/ve+nR13Hq9HrdumfIzMVZfX2/0vpEjH8KNG8oO3+fnJ8OlS+3veTY0NJiVS4L8/Hzr7ZNbSW1tLaZOnYq//vWvGD58uGH566+/joEDByIhIcGwrKqqCjNnzuyKMIls4ujRoxCLxVZdB/OI7gfm5JJD7plKJBL4+fnh8uXLhmLa1NSE4uJiTJ482ajvAw88gAMHDsDNzc3qf70TdQV3d3err4N5RPcDc3LJIYspAMTGxuLAgQMYPXo0ZDIZsrOz0aNHDzz66KNG/YRCIXx8fLooSqLugXlE1D6HLaazZs2CRqPBihUroNFoEBwcjM2bN8PNza2rQyMiovuMQ54zJSIisicOe58pERGRvXDYw7wdseR0g19++SVycnJQUlICjUaDU6dOQSQSGdpLSkqQnp6OK1euQCwWIyYmBvPmzevwQo0PPvgA586dQ2VlJVxdXREWFoYlS5agd+/ehj6VlZXYunUrLl68CCcnJ0ycOBFLly6Fk5NTu2N/9NFHOHHiBGpqaiASiTBkyBAsWbIEQUFBZsd9tzfffBNff/01tmzZgjFjxgAALly4gMzMTFy/fh29evXC008/jdjY2A7H2rNnD7Kzs+Hs/PvzLh955BG8+eabFou5sLAQu3btwuXLlyEUCjFw4ECkp6dDKBTe8/jz589HZWWl4bVer4dWq8W6devw6KOPmh13dXU1MjIy8N1336G+vh4DBgzAokWLEBYWBuDeP29TWCqXrJVHQPfIJUvmEWD9XGIeGeu2xfSP0w327dsXe/fuRWJiIvbu3dvp86oSiQSxsbHQarV49913jdo0Gg0SExMRFRWFlJQUlJeXY+XKlRCLxYiPj293XIFAgJUrVyIwMBBarRZpaWlISkrCzp07AQA6nQ5JSUkYNGgQDh48CJVKhdWrV+O9997DsmXL2h07MjISTz31FKRSKRoaGnD48GEkJibi4MGDEIlEZsX9RwqFAnV1dUbLbty4gVWrVmHx4sWIiYlBYWEh1qxZAy8vrxYXiLVm2LBh2L59e4vlloi5sLAQK1euxLJly5CcnAwnJycUFRVBIBCYNf6ePXuMXn/22WfYu3cvHn74YYvEvXXrVvz222/YvXs3pFIpPvvsMyQlJeHTTz+FRqMx6/PuiKVyyVp5BDh+LlkjjwDr5RLzqKVue5jXktMNhoeHY9KkSZC18tTor776CjqdDgsXLoSLiwsCAwMxa9Ys5OTkdDjuokWLEBwcDCcnJ0gkEsyePRslJSVQqVQAgEuXLuGXX35BQkICxGIx/Pz8sGDBAvztb39DfX19u2P3798fUqkUwJ2/7oRCIW7evGkY25y4m1VVVWH37t147bXXjJYrFAr4+/sjLi4OTk5OCAsLQ3R0NA4fPmzy2K2xRMzvv/8+pkyZArlcDldXV4hEIgwbNgwCgcAi4zf7/PPPMWXKFDg7O1tk3PLycowfPx49e/aESCTC1KlTcfv2bZSVlVnt825mqVyyVh4Bjp1Lts4jS8TMPGqpWxbTjqYbtKSSkhIEBQUZHa4KCQmBUqmEWq3u1Fjnz5+Hr6+vIXGLi4shk8ng6elpNHZdXR1KS0s7HO/s2bOIiYmBXC5HZmYmZsyYgZ49e1okbr1ej5SUFMydOxe+vr5GbcXFxQgJCTFaFhwcjOLitqfTu/v9Tz75JJ5++mmsX78eFRUVFom5rq4OhYWFEAqFeOmllxAbG4vFixfjzJkzFhm/2f/93/+hrKwM06ZNs9i4s2fPRkFBAf7973+jsbEROTk5kMlkGDRokNmfd3tslUuWzCPAcXLJmnnUPIalc4l51LpueZi3M9MNmkutVrdYT3MCazQak2fT+Pbbb7F37168/fbbhmWtvf+PY3fkT3/6E44ePYpbt25BoVAY3Sdobty5ubnQ6/WYOnVqiza1Wg1/f/8WY5vyCz9hwgRERUXB19cXv/76K95//3289tpr2Llzp9kxq1Qq6HQ6nDhxAsnJyRg8eDAKCgqwfv16eHt7W+xnmZubi4ceegh9+tyZAtAS44aGhuLkyZOYMWMGhEIhPDw8sG7dOri4uJj1eXfEVrlkqc8ecKxcslYeAdbLJeZR67rlnmnzLBa1tbVGy2tray0+W4xYLG6xnubDP6au6+zZs3jrrbeQlJSE8PBww3J3d/cWP8jOjg0AHh4emD59OrZs2WL4K8ucuMvLy5Gdnd3isFSztsY25Zc9ICAAfn5+EAgE8PHxQWJiIqqqqvDDDz+Y/Vk3n9+Ty+UICQmBSCTC+PHjERYWhq+//toiP8tff/0VBQUFRhctmDuuTqfDihUr4OXlhdzcXJw4cQIrVqzAqlWrUFxcbNbn3RFb5ZIlPnvAsXLJmnkEWC+XmEet65bF9I/TDTZrnm5w8ODBFl1X8+GBpqYmw7KioiLIZDKTfggnT57Exo0bsXbt2hYnuYOCglBRUYGamhqjsV1dXdGvX79OxXlngvJGlJeXmx33999/j1u3bmHJkiWIjY01/MK/9dZb2LJlC4KCglBUVGT0nqKiIqOrH00lEAggEAig1+vN/qwlEglkMlmbV/6ZOz5wZ27P3r174+GHH7bYuCqVCkqlEk899RQ8PDwgEokQEREBmUyG8+fPW/TzvputcskSn72j5ZIt8wiwXC4xj1rXLYsp8Pt0g9euXYNWq0VWVlar0w2aoqmpCfX19WhoaABw58kF9fX10Ol0GD9+PIRCIbKysqDVanHt2jUcOHDApMupDx8+jPT0dCQnJxv9Fd1s5MiR6N+/P3bs2AGNRoPKykpkZWUhOjra6HL31hw6dAjV1dUAgN9++w1paWno0aMHQkNDAcCsuB977DF88skn2Llzp+EfAPzlL3/B4sWLIZfLcf36deTm5qKhoQGXLl1CXl4ennzyyQ7Hzs/PN3zhVVdX491330WvXr0QGhpqVszN4uLicPz4cRQXF0On06GgoAAXL17Eo48+avb4TU1NOHbsGKZOnQqh8PfUMndcT09PDBgwADk5OVCr1dDpdDh79iz++c9/YsiQIWZ93qawVC5ZK48Ax8wla+YRYN1cYh611G1nQNLr9cjKysLRo0cN0w3++c9/RmBgYKfHOn78ODZv3txieVpaGsLCwlBSUoJt27bhypUrcHd3x7Rp00y69ykyMhIikajFfW6bN2/GyJEjAdy5PL753jhnZ2dMnDgRL730UodfAKtWrUJRURFu374Nd3d3hISE4LnnnkNwcLChz73G3da23H1/XEZGhtH9Wqb8Uq5evRqFhYWoq6uDVCrFyJEjsXDhQvTt29diMX/88cfIzc1FbW0t/P398dxzzyEiIsLs8c+cOYONGzfi4MGDRhe6WCLusrIyvPfeeygsLER9fT18fHwwffp0w7m2e/28TWGpXLJWHgHdJ5cslUeA9XOJeWSs2xZTIiIiW+m2h3mJiIhshcWUiIjITCymREREZmIxJSIiMhOLKRERkZlYTImIiMzEYkpERGQmFlMiIiIzsZiSyfLy8hAZGYkPPvigq0MhcljMo+6JxZRMlpubCw8PD+Tl5XX4QGUiah3zqHtiMSWTXL58GUVFRVi9ejXUarXhQcDAnWcJbtq0CbGxsYiPj8ehQ4cQHx+P48ePG/pcv34dq1atwlNPPYX4+HikpaXh9u3bXbEpRF2GedR9sZiSSXJzcxEUFITw8HBEREQgNzfX0LZ9+3b88ssv2LVrF7Kzs3Ht2jXcvHnT0F5TU4Ply5dj9OjR+PTTT7Fz506UlZUhIyOjKzaFqMswj7ovFlPqkEqlQn5+PmJiYgAAMTExKCwsNDxb8IsvvsC8efPg7e0NV1dXLF26FHr9789PUCgU6Nu3L+Lj4+Hs7AxPT0/Mnz8fJ06cMHo2IVF3xjzq3np0dQBk//Ly8iAQCPD4448DAEaNGoW+ffsiNzcXCxYsQENDA3x9fQ39xWIxJBKJ4XV5eTmuXLli+BL5o+rqavj4+Fh/I4i6GPOoe2MxpXbp9XocOXIEDQ0NePbZZw3L1Wo1Tp06hSVLlsDJyQmVlZUICAgwtNXW1hr6enl5YcSIEUhNTbV5/ET2gHnU/bGYUrv+93//F2VlZUhNTcWAAQMMyzUaDRYtWoQTJ05g0qRJ2Lt3LwYPHgyxWIz33nvP6GG9UVFROHToEHJychAVFQUXFxdUVVXhypUrhocJE3VnzKPuj8WU2vX5559jzJgxGDVqlNFyLy8v/Od//ic+//xzZGRkYNu2bViwYAFcXFwwa9YseHh4wNnZGQDg6+uLjIwMfPjhh8jOzoZWq4W3tzcmTpzILwG6LzCPuj9Bfn6+vuNuRKZTqVSIjY3F9u3bMXz48K4Oh8ghMY8cC6/mJbNVVlbiwoULaGpqQk1NDbZu3Qp/f3+EhIR0dWhEDoN55Nh4mJfM1tjYiO3bt6OiogI9evTA0KFDsWHDBohEoq4OjchhMI8cGw/zEhERmYmHeYmIiMzEYkpERGQmFlMiIiIzsZgSERGZicWUiIjITCymREREZmIxJSIiMtP/AxxEghz82WtgAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# your-code\n", + "g=sns.FacetGrid(titanic, col=\"Gender\")\n", + "g.map(sns.histplot,\"Age\")" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], - "source": [ - "#your code here\n" - ] + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -386,7 +871,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.0" + "version": "3.10.3" } }, "nbformat": 4,