diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..76b9408
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,48 @@
+
+# Created by https://www.toptal.com/developers/gitignore/api/jupyternotebooks,macos
+# Edit at https://www.toptal.com/developers/gitignore?templates=jupyternotebooks,macos
+
+### JupyterNotebooks ###
+# gitignore template for Jupyter Notebooks
+# website: http://jupyter.org/
+
+.ipynb_checkpoints
+*/.ipynb_checkpoints/*
+
+# IPython
+profile_default/
+ipython_config.py
+
+# Remove previous ipynb_checkpoints
+#   git rm -r .ipynb_checkpoints/
+
+### macOS ###
+# General
+.DS_Store
+.AppleDouble
+.LSOverride
+
+# Icon must end with two \r
+Icon
+
+
+# Thumbnails
+._*
+
+# Files that might appear in the root of a volume
+.DocumentRevisions-V100
+.fseventsd
+.Spotlight-V100
+.TemporaryItems
+.Trashes
+.VolumeIcon.icns
+.com.apple.timemachine.donotpresent
+
+# Directories potentially created on remote AFP share
+.AppleDB
+.AppleDesktop
+Network Trash Folder
+Temporary Items
+.apdisk
+
+# End of https://www.toptal.com/developers/gitignore/api/jupyternotebooks,macos
\ No newline at end of file
diff --git a/your-project/AirQualityDataset.ipynb b/your-project/AirQualityDataset.ipynb
new file mode 100644
index 0000000..e375af8
--- /dev/null
+++ b/your-project/AirQualityDataset.ipynb
@@ -0,0 +1,260 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "streaming-stereo",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-03-30T15:53:34.467216Z",
+     "start_time": "2021-03-30T15:53:34.316194Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Air Quality</th>\n",
+       "      <th>Longitude</th>\n",
+       "      <th>Latitude</th>\n",
+       "      <th>O3 Hour</th>\n",
+       "      <th>O3 Quality</th>\n",
+       "      <th>O3 Value</th>\n",
+       "      <th>NO2 Hour</th>\n",
+       "      <th>NO2 Quality</th>\n",
+       "      <th>NO2 Value</th>\n",
+       "      <th>PM10 Hour</th>\n",
+       "      <th>PM10 Quality</th>\n",
+       "      <th>PM10 Value</th>\n",
+       "      <th>Generated</th>\n",
+       "      <th>Date Time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Sants</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1331</td>\n",
+       "      <td>41.3788</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>2.1538</td>\n",
+       "      <td>41.3853</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1534</td>\n",
+       "      <td>41.3987</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1874</td>\n",
+       "      <td>41.3864</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1480</td>\n",
+       "      <td>41.4261</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   Station Air Quality  Longitude  Latitude O3 Hour  \\\n",
+       "0        Barcelona - Sants        Good     2.1331   41.3788     NaN   \n",
+       "1     Barcelona - Eixample    Moderate     2.1538   41.3853      0h   \n",
+       "2       Barcelona - Gràcia        Good     2.1534   41.3987      0h   \n",
+       "3   Barcelona - Ciutadella        Good     2.1874   41.3864      0h   \n",
+       "4  Barcelona - Vall Hebron        Good     2.1480   41.4261      0h   \n",
+       "\n",
+       "  O3 Quality  O3 Value NO2 Hour NO2 Quality  NO2 Value PM10 Hour PM10 Quality  \\\n",
+       "0        NaN       NaN       0h        Good       84.0       NaN          NaN   \n",
+       "1       Good       1.0       0h    Moderate      113.0        0h         Good   \n",
+       "2       Good      10.0       0h        Good       73.0       NaN          NaN   \n",
+       "3       Good       2.0       0h        Good       86.0       NaN          NaN   \n",
+       "4       Good       7.0       0h        Good       69.0       NaN          NaN   \n",
+       "\n",
+       "   PM10 Value        Generated   Date Time  \n",
+       "0         NaN  01/11/2018 0:00  1541027104  \n",
+       "1        36.0  01/11/2018 0:00  1541027104  \n",
+       "2         NaN  01/11/2018 0:00  1541027104  \n",
+       "3         NaN  01/11/2018 0:00  1541027104  \n",
+       "4         NaN  01/11/2018 0:00  1541027104  "
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "data = pd.read_csv('../datasets/2.-Urban-Environment/air-quality-nov-2017.csv')\n",
+    "\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "published-restaurant",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.8.2"
+  },
+  "latex_envs": {
+   "LaTeX_envs_menu_present": true,
+   "autoclose": false,
+   "autocomplete": true,
+   "bibliofile": "biblio.bib",
+   "cite_by": "apalike",
+   "current_citInitial": 1,
+   "eqLabelWithNumbers": true,
+   "eqNumInitial": 1,
+   "hotkeys": {
+    "equation": "Ctrl-E",
+    "itemize": "Ctrl-I"
+   },
+   "labels_anchors": false,
+   "latex_user_defs": false,
+   "report_style_numbering": false,
+   "user_envs_cfg": false
+  },
+  "varInspector": {
+   "cols": {
+    "lenName": 16,
+    "lenType": 16,
+    "lenVar": 40
+   },
+   "kernels_config": {
+    "python": {
+     "delete_cmd_postfix": "",
+     "delete_cmd_prefix": "del ",
+     "library": "var_list.py",
+     "varRefreshCmd": "print(var_dic_list())"
+    },
+    "r": {
+     "delete_cmd_postfix": ") ",
+     "delete_cmd_prefix": "rm(",
+     "library": "var_list.r",
+     "varRefreshCmd": "cat(var_dic_list()) "
+    }
+   },
+   "types_to_exclude": [
+    "module",
+    "function",
+    "builtin_function_or_method",
+    "instance",
+    "_Feature"
+   ],
+   "window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/your-project/NO2_analysis.ipynb b/your-project/NO2_analysis.ipynb
new file mode 100644
index 0000000..1cfdd3d
--- /dev/null
+++ b/your-project/NO2_analysis.ipynb
@@ -0,0 +1,1567 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# NO2 Pollution Barcelona"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Air Quality info: https://www.airnow.gov/sites/default/files/2018-06/no2.pdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Air Quality</th>\n",
+       "      <th>Longitude</th>\n",
+       "      <th>Latitude</th>\n",
+       "      <th>O3 Hour</th>\n",
+       "      <th>O3 Quality</th>\n",
+       "      <th>O3 Value</th>\n",
+       "      <th>NO2 Hour</th>\n",
+       "      <th>NO2 Quality</th>\n",
+       "      <th>NO2 Value</th>\n",
+       "      <th>PM10 Hour</th>\n",
+       "      <th>PM10 Quality</th>\n",
+       "      <th>PM10 Value</th>\n",
+       "      <th>Generated</th>\n",
+       "      <th>Date Time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Sants</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1331</td>\n",
+       "      <td>41.3788</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>2.1538</td>\n",
+       "      <td>41.3853</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1534</td>\n",
+       "      <td>41.3987</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Station Air Quality  Longitude  Latitude O3 Hour O3 Quality  \\\n",
+       "0     Barcelona - Sants        Good     2.1331   41.3788     NaN        NaN   \n",
+       "1  Barcelona - Eixample    Moderate     2.1538   41.3853      0h       Good   \n",
+       "2    Barcelona - Gràcia        Good     2.1534   41.3987      0h       Good   \n",
+       "\n",
+       "   O3 Value NO2 Hour NO2 Quality  NO2 Value PM10 Hour PM10 Quality  \\\n",
+       "0       NaN       0h        Good       84.0       NaN          NaN   \n",
+       "1       1.0       0h    Moderate      113.0        0h         Good   \n",
+       "2      10.0       0h        Good       73.0       NaN          NaN   \n",
+       "\n",
+       "   PM10 Value        Generated   Date Time  \n",
+       "0         NaN  01/11/2018 0:00  1541027104  \n",
+       "1        36.0  01/11/2018 0:00  1541027104  \n",
+       "2         NaN  01/11/2018 0:00  1541027104  "
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Importing packages and data\n",
+    "\n",
+    "import pandas as pd\n",
+    "import re\n",
+    "\n",
+    "df = pd.read_csv('../datasets/2.-Urban-Environment/air-quality-nov-2017.csv')\n",
+    "\n",
+    "df.head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#creating no2 df and renaming columns\n",
+    "\n",
+    "df_no2 = df[['Station', 'Air Quality', 'Longitude', 'Latitude', 'NO2 Hour', 'NO2 Quality', 'NO2 Value', 'Generated', 'Date Time']].copy()\n",
+    "df_no2.columns = ['station', 'air_quality', 'longitude', 'latitude', 'no2_hour', 'no2_quality', 'no2_value', 'generated', 'date_time']"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Min, Max, Mean, Median NO2 Value by station:**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>station</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Ciutadella</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>39.855920</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>17.0</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>56.240683</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Gràcia</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>117.0</td>\n",
+       "      <td>44.574534</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Observ Fabra</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>71.0</td>\n",
+       "      <td>11.449213</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Palau Reial</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>27.974322</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Poblenou</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>41.161103</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Sants</th>\n",
+       "      <td>7.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>36.359165</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Vall Hebron</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>30.812940</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           min    max       mean\n",
+       "station                                         \n",
+       "Barcelona - Ciutadella     5.0   88.0  39.855920\n",
+       "Barcelona - Eixample      17.0  113.0  56.240683\n",
+       "Barcelona - Gràcia         6.0  117.0  44.574534\n",
+       "Barcelona - Observ Fabra   1.0   71.0  11.449213\n",
+       "Barcelona - Palau Reial    1.0   99.0  27.974322\n",
+       "Barcelona - Poblenou       5.0  105.0  41.161103\n",
+       "Barcelona - Sants          7.0   89.0  36.359165\n",
+       "Barcelona - Vall Hebron    6.0   91.0  30.812940"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_no2.groupby('station').no2_value.agg(['min', 'max', 'mean'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**The overall highest values:**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_no2_short = df_no2[['station', 'no2_hour', 'no2_quality', 'no2_value']].copy()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>NO2 Time</th>\n",
+       "      <th>NO2 Quality</th>\n",
+       "      <th>NO2 Value</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>station</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Gràcia</th>\n",
+       "      <td>10h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>117.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Gràcia</th>\n",
+       "      <td>9h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>116.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Gràcia</th>\n",
+       "      <td>9h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>115.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>0h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>113.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>9h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>112.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>11h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>109.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>10h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>108.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Gràcia</th>\n",
+       "      <td>11h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>107.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>10h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Poblenou</th>\n",
+       "      <td>20h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>105.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     NO2 Time NO2 Quality  NO2 Value\n",
+       "station                                             \n",
+       "Barcelona - Gràcia        10h    Moderate      117.0\n",
+       "Barcelona - Gràcia         9h    Moderate      116.0\n",
+       "Barcelona - Gràcia         9h    Moderate      115.0\n",
+       "Barcelona - Eixample       0h    Moderate      113.0\n",
+       "Barcelona - Eixample       9h    Moderate      112.0\n",
+       "Barcelona - Eixample      11h    Moderate      109.0\n",
+       "Barcelona - Eixample      10h    Moderate      108.0\n",
+       "Barcelona - Gràcia        11h    Moderate      107.0\n",
+       "Barcelona - Eixample      10h    Moderate      105.0\n",
+       "Barcelona - Poblenou      20h    Moderate      105.0"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_no2_short.set_index('station', inplace=True)\n",
+    "largest = df_no2_short.nlargest(columns='no2_value', n = 10)\n",
+    "largest.columns = ['NO2 Time', 'NO2 Quality', 'NO2 Value']\n",
+    "largest"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Hourly NO2 data**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>station</th>\n",
+       "      <th>air_quality</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>no2_hour</th>\n",
+       "      <th>no2_quality</th>\n",
+       "      <th>no2_value</th>\n",
+       "      <th>generated</th>\n",
+       "      <th>date_time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Sants</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1331</td>\n",
+       "      <td>41.3788</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>2.1538</td>\n",
+       "      <td>41.3853</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1534</td>\n",
+       "      <td>41.3987</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                station air_quality  longitude  latitude no2_hour no2_quality  \\\n",
+       "0     Barcelona - Sants        Good     2.1331   41.3788       0h        Good   \n",
+       "1  Barcelona - Eixample    Moderate     2.1538   41.3853       0h    Moderate   \n",
+       "2    Barcelona - Gràcia        Good     2.1534   41.3987       0h        Good   \n",
+       "\n",
+       "   no2_value        generated   date_time  \n",
+       "0       84.0  01/11/2018 0:00  1541027104  \n",
+       "1      113.0  01/11/2018 0:00  1541027104  \n",
+       "2       73.0  01/11/2018 0:00  1541027104  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Dropping missing values\n",
+    "\n",
+    "nantodrop = df_no2[df_no2['no2_value'].isna() == True].index.tolist()\n",
+    "df_no2 = df_no2.drop(nantodrop)\n",
+    "df_no2.reset_index(drop=True,inplace=True)\n",
+    "\n",
+    "df_no2.head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>station</th>\n",
+       "      <th>air_quality</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>no2_quality</th>\n",
+       "      <th>no2_value</th>\n",
+       "      <th>generated</th>\n",
+       "      <th>date_time</th>\n",
+       "      <th>Time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Sants</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1331</td>\n",
+       "      <td>41.3788</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>2.1538</td>\n",
+       "      <td>41.3853</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1534</td>\n",
+       "      <td>41.3987</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                station air_quality  longitude  latitude no2_quality  \\\n",
+       "0     Barcelona - Sants        Good     2.1331   41.3788        Good   \n",
+       "1  Barcelona - Eixample    Moderate     2.1538   41.3853    Moderate   \n",
+       "2    Barcelona - Gràcia        Good     2.1534   41.3987        Good   \n",
+       "\n",
+       "   no2_value        generated   date_time  Time  \n",
+       "0       84.0  01/11/2018 0:00  1541027104     0  \n",
+       "1      113.0  01/11/2018 0:00  1541027104     0  \n",
+       "2       73.0  01/11/2018 0:00  1541027104     0  "
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Removing \"h\" from Hour column elements in a new column\n",
+    "\n",
+    "df_no2['time'] = list(map(lambda x: int(re.findall(r\"\\d+\",x)[0]),df_no2['no2_hour']))\n",
+    "df_no2.rename(columns={'time':'Time'},inplace=True)\n",
+    "df_no2.drop(columns=['no2_hour'],inplace=True)\n",
+    "df_no2.head(3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Time</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>42.854890</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>35.714286</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>30.235808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>77.0</td>\n",
+       "      <td>26.772926</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>24.644444</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>23.298701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>24.314894</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>30.372294</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>103.0</td>\n",
+       "      <td>40.004237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>46.268908</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>117.0</td>\n",
+       "      <td>43.719665</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>109.0</td>\n",
+       "      <td>38.466667</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>30.612335</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>27.261411</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>71.0</td>\n",
+       "      <td>28.053398</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>28.342723</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>28.910714</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>32.728111</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>42.253219</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>101.0</td>\n",
+       "      <td>49.320000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>4.0</td>\n",
+       "      <td>105.0</td>\n",
+       "      <td>50.504505</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>4.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>48.506726</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>97.0</td>\n",
+       "      <td>44.532967</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>39.039735</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      min    max       mean\n",
+       "Time                       \n",
+       "0     2.0  113.0  42.854890\n",
+       "1     2.0   96.0  35.714286\n",
+       "2     2.0   86.0  30.235808\n",
+       "3     1.0   77.0  26.772926\n",
+       "4     1.0   65.0  24.644444\n",
+       "5     1.0   67.0  23.298701\n",
+       "6     1.0   64.0  24.314894\n",
+       "7     1.0   80.0  30.372294\n",
+       "8     1.0  103.0  40.004237\n",
+       "9     1.0  116.0  46.268908\n",
+       "10    1.0  117.0  43.719665\n",
+       "11    1.0  109.0  38.466667\n",
+       "12    2.0   80.0  30.612335\n",
+       "13    1.0   83.0  27.261411\n",
+       "14    2.0   71.0  28.053398\n",
+       "15    2.0   88.0  28.342723\n",
+       "16    3.0   84.0  28.910714\n",
+       "17    3.0   80.0  32.728111\n",
+       "18    6.0   89.0  42.253219\n",
+       "19    6.0  101.0  49.320000\n",
+       "20    4.0  105.0  50.504505\n",
+       "21    4.0   97.0  48.506726\n",
+       "22    3.0   97.0  44.532967\n",
+       "23    3.0   88.0  39.039735"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Getting Hourly Data\n",
+    "\n",
+    "hourly = df_no2.groupby('Time').no2_value.agg(['min', 'max', 'mean'])\n",
+    "hourly"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Time</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>42.854890</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>96.0</td>\n",
+       "      <td>35.714286</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>30.235808</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>77.0</td>\n",
+       "      <td>26.772926</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>24.644444</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>67.0</td>\n",
+       "      <td>23.298701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>24.314894</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>30.372294</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>103.0</td>\n",
+       "      <td>40.004237</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>116.0</td>\n",
+       "      <td>46.268908</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>117.0</td>\n",
+       "      <td>43.719665</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>109.0</td>\n",
+       "      <td>38.466667</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      min    max       mean\n",
+       "Time                       \n",
+       "0     2.0  113.0  42.854890\n",
+       "1     2.0   96.0  35.714286\n",
+       "2     2.0   86.0  30.235808\n",
+       "3     1.0   77.0  26.772926\n",
+       "4     1.0   65.0  24.644444\n",
+       "5     1.0   67.0  23.298701\n",
+       "6     1.0   64.0  24.314894\n",
+       "7     1.0   80.0  30.372294\n",
+       "8     1.0  103.0  40.004237\n",
+       "9     1.0  116.0  46.268908\n",
+       "10    1.0  117.0  43.719665\n",
+       "11    1.0  109.0  38.466667"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Splitting Dataframe\n",
+    "\n",
+    "hourly_df1 = hourly.iloc[:12,:]\n",
+    "hourly_df2 = hourly.iloc[12:,:]\n",
+    "hourly_df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th>Time</th>\n",
+       "      <th>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</th>\n",
+       "      <th>5</th>\n",
+       "      <th>6</th>\n",
+       "      <th>7</th>\n",
+       "      <th>8</th>\n",
+       "      <th>9</th>\n",
+       "      <th>...</th>\n",
+       "      <th>14</th>\n",
+       "      <th>15</th>\n",
+       "      <th>16</th>\n",
+       "      <th>17</th>\n",
+       "      <th>18</th>\n",
+       "      <th>19</th>\n",
+       "      <th>20</th>\n",
+       "      <th>21</th>\n",
+       "      <th>22</th>\n",
+       "      <th>23</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>2.00000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>6.000000</td>\n",
+       "      <td>6.00</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>113.00000</td>\n",
+       "      <td>96.000000</td>\n",
+       "      <td>86.000000</td>\n",
+       "      <td>77.000000</td>\n",
+       "      <td>65.000000</td>\n",
+       "      <td>67.000000</td>\n",
+       "      <td>64.000000</td>\n",
+       "      <td>80.000000</td>\n",
+       "      <td>103.000000</td>\n",
+       "      <td>116.000000</td>\n",
+       "      <td>...</td>\n",
+       "      <td>71.000000</td>\n",
+       "      <td>88.000000</td>\n",
+       "      <td>84.000000</td>\n",
+       "      <td>80.000000</td>\n",
+       "      <td>89.000000</td>\n",
+       "      <td>101.00</td>\n",
+       "      <td>105.000000</td>\n",
+       "      <td>97.000000</td>\n",
+       "      <td>97.000000</td>\n",
+       "      <td>88.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>42.85489</td>\n",
+       "      <td>35.714286</td>\n",
+       "      <td>30.235808</td>\n",
+       "      <td>26.772926</td>\n",
+       "      <td>24.644444</td>\n",
+       "      <td>23.298701</td>\n",
+       "      <td>24.314894</td>\n",
+       "      <td>30.372294</td>\n",
+       "      <td>40.004237</td>\n",
+       "      <td>46.268908</td>\n",
+       "      <td>...</td>\n",
+       "      <td>28.053398</td>\n",
+       "      <td>28.342723</td>\n",
+       "      <td>28.910714</td>\n",
+       "      <td>32.728111</td>\n",
+       "      <td>42.253219</td>\n",
+       "      <td>49.32</td>\n",
+       "      <td>50.504505</td>\n",
+       "      <td>48.506726</td>\n",
+       "      <td>44.532967</td>\n",
+       "      <td>39.039735</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3 rows × 24 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Time         0          1          2          3          4          5   \\\n",
+       "min     2.00000   2.000000   2.000000   1.000000   1.000000   1.000000   \n",
+       "max   113.00000  96.000000  86.000000  77.000000  65.000000  67.000000   \n",
+       "mean   42.85489  35.714286  30.235808  26.772926  24.644444  23.298701   \n",
+       "\n",
+       "Time         6          7           8           9   ...         14         15  \\\n",
+       "min    1.000000   1.000000    1.000000    1.000000  ...   2.000000   2.000000   \n",
+       "max   64.000000  80.000000  103.000000  116.000000  ...  71.000000  88.000000   \n",
+       "mean  24.314894  30.372294   40.004237   46.268908  ...  28.053398  28.342723   \n",
+       "\n",
+       "Time         16         17         18      19          20         21  \\\n",
+       "min    3.000000   3.000000   6.000000    6.00    4.000000   4.000000   \n",
+       "max   84.000000  80.000000  89.000000  101.00  105.000000  97.000000   \n",
+       "mean  28.910714  32.728111  42.253219   49.32   50.504505  48.506726   \n",
+       "\n",
+       "Time         22         23  \n",
+       "min    3.000000   3.000000  \n",
+       "max   97.000000  88.000000  \n",
+       "mean  44.532967  39.039735  \n",
+       "\n",
+       "[3 rows x 24 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hourly.T"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "**Data by Weekday:**"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_mon = df_no2[df_no2['generated'].str.contains('05/11/2018|12/11/2018|19/11/2018|26/11/2018')]\n",
+    "df_tue = df_no2[df_no2['generated'].str.contains('06/11/2018|13/11/2018|20/11/2018|27/11/2018')]\n",
+    "df_wed = df_no2[df_no2['generated'].str.contains('07/11/2018|14/11/2018|21/11/2018|28/11/2018')]\n",
+    "df_thu = df_no2[df_no2['generated'].str.contains('01/11/2018|08/11/2018|15/11/2018|22/11/2018|29/11/2018')]\n",
+    "df_fr = df_no2[df_no2['generated'].str.contains('02/11/2018|09/11/2018|16/11/2018|23/11/2018|30/11/2018')]\n",
+    "df_sa = df_no2[df_no2['generated'].str.contains('03/11/2018|10/11/2018|17/11/2018|24/11/2018')]\n",
+    "df_sun = df_no2[df_no2['generated'].str.contains('04/11/2018|11/11/2018|18/11/2018|25/11/2018')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>station</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Ciutadella</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>72.0</td>\n",
+       "      <td>34.765957</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>18.0</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>44.011494</td>\n",
+       "      <td>42.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Gràcia</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>30.602273</td>\n",
+       "      <td>26.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Observ Fabra</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>24.0</td>\n",
+       "      <td>7.852632</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Palau Reial</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>16.808511</td>\n",
+       "      <td>12.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Poblenou</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>30.648936</td>\n",
+       "      <td>26.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Sants</th>\n",
+       "      <td>9.0</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>24.929412</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Vall Hebron</th>\n",
+       "      <td>7.0</td>\n",
+       "      <td>82.0</td>\n",
+       "      <td>17.670213</td>\n",
+       "      <td>13.5</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           min   max       mean  median\n",
+       "station                                                \n",
+       "Barcelona - Ciutadella     5.0  72.0  34.765957    35.0\n",
+       "Barcelona - Eixample      18.0  99.0  44.011494    42.0\n",
+       "Barcelona - Gràcia         6.0  83.0  30.602273    26.5\n",
+       "Barcelona - Observ Fabra   1.0  24.0   7.852632     7.0\n",
+       "Barcelona - Palau Reial    2.0  80.0  16.808511    12.5\n",
+       "Barcelona - Poblenou       6.0  86.0  30.648936    26.5\n",
+       "Barcelona - Sants          9.0  83.0  24.929412    22.0\n",
+       "Barcelona - Vall Hebron    7.0  82.0  17.670213    13.5"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_sun.groupby('station').no2_value.agg(['min', 'max', 'mean', 'median'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mon_mean = df_mon['no2_value'].mean()\n",
+    "tue_mean = df_tue['no2_value'].mean()\n",
+    "wed_mean = df_wed['no2_value'].mean()\n",
+    "thu_mean = df_thu['no2_value'].mean()\n",
+    "fr_mean = df_fr['no2_value'].mean()\n",
+    "sa_mean = df_sa['no2_value'].mean()\n",
+    "sun_mean = df_sun['no2_value'].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 109,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "weekdays_list = [['Monday', mon_mean], ['Tuesday', tue_mean], ['Wednesday', wed_mean], ['Thursday', thu_mean], ['Friday', fr_mean], ['Saturday', sa_mean], ['Sunday', sun_mean]] \n",
+    "weekdays = pd.DataFrame(weekdays_list, columns = ['Weekday', 'NO2 Value Mean'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 110,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "weekdays.set_index('Weekday', inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 111,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>NO2 Value Mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Weekday</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Monday</th>\n",
+       "      <td>29.031335</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Tuesday</th>\n",
+       "      <td>31.291951</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Wednesday</th>\n",
+       "      <td>38.773427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Thursday</th>\n",
+       "      <td>45.619699</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Friday</th>\n",
+       "      <td>44.128767</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Saturday</th>\n",
+       "      <td>29.661664</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sunday</th>\n",
+       "      <td>25.686731</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           NO2 Value Mean\n",
+       "Weekday                  \n",
+       "Monday          29.031335\n",
+       "Tuesday         31.291951\n",
+       "Wednesday       38.773427\n",
+       "Thursday        45.619699\n",
+       "Friday          44.128767\n",
+       "Saturday        29.661664\n",
+       "Sunday          25.686731"
+      ]
+     },
+     "execution_count": 111,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "weekdays"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 95,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Separate into one dataframe per week\n",
+    "week_1 = df_no2[df_no2['generated'].str.contains('01/11/2018|02/11/2018|03/11/2018|04/11/2018|05/11/2018|06/11/2018|07/11/2018')]\n",
+    "week_2 = df_no2[df_no2['generated'].str.contains('08/11/2018|09/11/2018|10/11/2018|11/11/2018|12/11/2018|13/11/2018|14/11/2018')]\n",
+    "week_3 = df_no2[df_no2['generated'].str.contains('15/11/2018|16/11/2018|17/11/2018|18/11/2018|19/11/2018|20/11/2018|21/11/2018')]\n",
+    "week_4 = df_no2[df_no2['generated'].str.contains('22/11/2018|23/11/2018|24/11/2018|25/11/2018|26/11/2018|27/11/2018|28/11/2018')]\n",
+    "week_5 = df_no2[df_no2['generated'].str.contains('29/11/2018|30/11/2018')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 96,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "w1_mean = week_1['no2_value'].mean()\n",
+    "w2_mean = week_2['no2_value'].mean()\n",
+    "w3_mean = week_3['no2_value'].mean()\n",
+    "w4_mean = week_4['no2_value'].mean()\n",
+    "w5_mean = week_5['no2_value'].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>NO2 Value</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Weeks</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Week 1</th>\n",
+       "      <td>34.013503</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Week 2</th>\n",
+       "      <td>35.436096</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Week 3</th>\n",
+       "      <td>32.219124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Week 4</th>\n",
+       "      <td>36.809077</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        NO2 Value\n",
+       "Weeks            \n",
+       "Week 1  34.013503\n",
+       "Week 2  35.436096\n",
+       "Week 3  32.219124\n",
+       "Week 4  36.809077"
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# creating DataFrame for weeks\n",
+    "weeks = [['Week 1', w1_mean], ['Week 2', w2_mean], ['Week 3', w3_mean], ['Week 4', w4_mean]]\n",
+    "\n",
+    "weeksdf = pd.DataFrame(weeks,columns=['Weeks','NO2 Value']).set_index('Weeks')\n",
+    "weeksdf"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/your-project/O3_analysis.ipynb b/your-project/O3_analysis.ipynb
new file mode 100644
index 0000000..1b975c3
--- /dev/null
+++ b/your-project/O3_analysis.ipynb
@@ -0,0 +1,2387 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-03-30T15:53:34.467216Z",
+     "start_time": "2021-03-30T15:53:34.316194Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Air Quality</th>\n",
+       "      <th>Longitude</th>\n",
+       "      <th>Latitude</th>\n",
+       "      <th>O3 Hour</th>\n",
+       "      <th>O3 Quality</th>\n",
+       "      <th>O3 Value</th>\n",
+       "      <th>NO2 Hour</th>\n",
+       "      <th>NO2 Quality</th>\n",
+       "      <th>NO2 Value</th>\n",
+       "      <th>PM10 Hour</th>\n",
+       "      <th>PM10 Quality</th>\n",
+       "      <th>PM10 Value</th>\n",
+       "      <th>Generated</th>\n",
+       "      <th>Date Time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Sants</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1331</td>\n",
+       "      <td>41.3788</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>2.1538</td>\n",
+       "      <td>41.3853</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>1/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1534</td>\n",
+       "      <td>41.3987</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1874</td>\n",
+       "      <td>41.3864</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1480</td>\n",
+       "      <td>41.4261</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   Station Air Quality  Longitude  Latitude O3 Hour  \\\n",
+       "0        Barcelona - Sants        Good     2.1331   41.3788     NaN   \n",
+       "1     Barcelona - Eixample    Moderate     2.1538   41.3853      0h   \n",
+       "2       Barcelona - Gràcia        Good     2.1534   41.3987      0h   \n",
+       "3   Barcelona - Ciutadella        Good     2.1874   41.3864      0h   \n",
+       "4  Barcelona - Vall Hebron        Good     2.1480   41.4261      0h   \n",
+       "\n",
+       "  O3 Quality  O3 Value NO2 Hour NO2 Quality  NO2 Value PM10 Hour PM10 Quality  \\\n",
+       "0        NaN       NaN       0h        Good       84.0       NaN          NaN   \n",
+       "1       Good       1.0       0h    Moderate      113.0        0h         Good   \n",
+       "2       Good      10.0       0h        Good       73.0       NaN          NaN   \n",
+       "3       Good       2.0       0h        Good       86.0       NaN          NaN   \n",
+       "4       Good       7.0       0h        Good       69.0       NaN          NaN   \n",
+       "\n",
+       "   PM10 Value       Generated   Date Time  \n",
+       "0         NaN  1/11/2018 0:00  1541027104  \n",
+       "1        36.0  1/11/2018 0:00  1541027104  \n",
+       "2         NaN  1/11/2018 0:00  1541027104  \n",
+       "3         NaN  1/11/2018 0:00  1541027104  \n",
+       "4         NaN  1/11/2018 0:00  1541027104  "
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "data = pd.read_csv('../datasets/2.-Urban-Environment/air-quality-nov-2017.csv')\n",
+    "\n",
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Air Quality</th>\n",
+       "      <th>Longitude</th>\n",
+       "      <th>Latitude</th>\n",
+       "      <th>O3 Hour</th>\n",
+       "      <th>O3 Quality</th>\n",
+       "      <th>O3 Value</th>\n",
+       "      <th>NO2 Hour</th>\n",
+       "      <th>NO2 Quality</th>\n",
+       "      <th>NO2 Value</th>\n",
+       "      <th>PM10 Hour</th>\n",
+       "      <th>PM10 Quality</th>\n",
+       "      <th>PM10 Value</th>\n",
+       "      <th>Generated</th>\n",
+       "      <th>Date Time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>5739</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1874</td>\n",
+       "      <td>41.3864</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>57.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5740</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1480</td>\n",
+       "      <td>41.4261</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5741</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1151</td>\n",
+       "      <td>41.3875</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5742</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.2045</td>\n",
+       "      <td>41.4039</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5743</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1239</td>\n",
+       "      <td>41.4183</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       Station Air Quality  Longitude  Latitude O3 Hour  \\\n",
+       "5739    Barcelona - Ciutadella        Good     2.1874   41.3864     22h   \n",
+       "5740   Barcelona - Vall Hebron        Good     2.1480   41.4261     22h   \n",
+       "5741   Barcelona - Palau Reial        Good     2.1151   41.3875     22h   \n",
+       "5742      Barcelona - Poblenou        Good     2.2045   41.4039     NaN   \n",
+       "5743  Barcelona - Observ Fabra        Good     2.1239   41.4183     22h   \n",
+       "\n",
+       "     O3 Quality  O3 Value NO2 Hour NO2 Quality  NO2 Value PM10 Hour  \\\n",
+       "5739       Good      10.0      22h        Good       57.0       NaN   \n",
+       "5740       Good      32.0      22h        Good       31.0       22h   \n",
+       "5741       Good      40.0      22h        Good       20.0       22h   \n",
+       "5742        NaN       NaN      22h        Good       70.0       22h   \n",
+       "5743       Good      64.0      22h        Good       21.0       22h   \n",
+       "\n",
+       "     PM10 Quality  PM10 Value         Generated   Date Time  \n",
+       "5739          NaN         NaN  30/11/2018 23:00  1543615502  \n",
+       "5740         Good        21.0  30/11/2018 23:00  1543615502  \n",
+       "5741         Good        15.0  30/11/2018 23:00  1543615502  \n",
+       "5742         Good        25.0  30/11/2018 23:00  1543615502  \n",
+       "5743         Good        12.0  30/11/2018 23:00  1543615502  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.tail()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Station', 'Air Quality', 'Longitude', 'Latitude', 'O3 Hour',\n",
+       "       'O3 Quality', 'O3 Value', 'NO2 Hour', 'NO2 Quality', 'NO2 Value',\n",
+       "       'PM10 Hour', 'PM10 Quality', 'PM10 Value', 'Generated', 'Date Time'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "my_data=data[[\"Station\", \"O3 Hour\",\"O3 Quality\", \"O3 Value\"]]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>O3 Hour</th>\n",
+       "      <th>O3 Quality</th>\n",
+       "      <th>O3 Value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Sants</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>7.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5739</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5740</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>32.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5741</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>40.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5742</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5743</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>64.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5744 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       Station O3 Hour O3 Quality  O3 Value\n",
+       "0            Barcelona - Sants     NaN        NaN       NaN\n",
+       "1         Barcelona - Eixample      0h       Good       1.0\n",
+       "2           Barcelona - Gràcia      0h       Good      10.0\n",
+       "3       Barcelona - Ciutadella      0h       Good       2.0\n",
+       "4      Barcelona - Vall Hebron      0h       Good       7.0\n",
+       "...                        ...     ...        ...       ...\n",
+       "5739    Barcelona - Ciutadella     22h       Good      10.0\n",
+       "5740   Barcelona - Vall Hebron     22h       Good      32.0\n",
+       "5741   Barcelona - Palau Reial     22h       Good      40.0\n",
+       "5742      Barcelona - Poblenou     NaN        NaN       NaN\n",
+       "5743  Barcelona - Observ Fabra     22h       Good      64.0\n",
+       "\n",
+       "[5744 rows x 4 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "my_data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "34.082906608144356"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data[\"O3 Value\"].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1.0"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data[\"O3 Value\"].min()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "100.0"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data[\"O3 Value\"].max()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "my_data = data[['Station', 'O3 Hour', 'O3 Quality', 'O3 Value']].copy()\n",
+    "my_data.columns = ['station', 'o3_hour', 'o3_quality', 'o3_value']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "o3_df = data[['Station', 'Air Quality', 'Longitude', 'Latitude', 'O3 Hour', 'O3 Quality', 'O3 Value', 'Generated', 'Date Time']].copy()\n",
+    "o3_df.columns = ['station', 'air_quality', 'longitude', 'latitude', 'o3_hour', 'o3_quality', 'o3_value', 'generated', 'date_time']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>station</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Ciutadella</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>25.128388</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>17.038760</td>\n",
+       "      <td>14.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Gràcia</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>26.675466</td>\n",
+       "      <td>26.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Observ Fabra</th>\n",
+       "      <td>16.0</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>65.359084</td>\n",
+       "      <td>66.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Palau Reial</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>32.021398</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Poblenou</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Sants</th>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Vall Hebron</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>82.0</td>\n",
+       "      <td>36.367089</td>\n",
+       "      <td>40.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           min    max       mean  median\n",
+       "station                                                 \n",
+       "Barcelona - Ciutadella     1.0   85.0  25.128388    22.0\n",
+       "Barcelona - Eixample       1.0   61.0  17.038760    14.0\n",
+       "Barcelona - Gràcia         1.0   69.0  26.675466    26.0\n",
+       "Barcelona - Observ Fabra  16.0  100.0  65.359084    66.0\n",
+       "Barcelona - Palau Reial    1.0   64.0  32.021398    35.0\n",
+       "Barcelona - Poblenou       NaN    NaN        NaN     NaN\n",
+       "Barcelona - Sants          NaN    NaN        NaN     NaN\n",
+       "Barcelona - Vall Hebron    1.0   82.0  36.367089    40.0"
+      ]
+     },
+     "execution_count": 20,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "o3_df.groupby('station').o3_value.agg(['min', 'max', 'mean', 'median'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "count    4101.000000\n",
+       "mean       34.082907\n",
+       "std        22.960687\n",
+       "min         1.000000\n",
+       "25%        14.000000\n",
+       "50%        34.000000\n",
+       "75%        52.000000\n",
+       "max       100.000000\n",
+       "Name: o3_value, dtype: float64"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "o3_df[\"o3_value\"].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2.0      258\n",
+       "1.0      125\n",
+       "3.0      124\n",
+       "41.0      77\n",
+       "47.0      77\n",
+       "        ... \n",
+       "88.0       1\n",
+       "89.0       1\n",
+       "100.0      1\n",
+       "92.0       1\n",
+       "99.0       1\n",
+       "Name: o3_value, Length: 94, dtype: int64"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "o3_df[\"o3_value\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>o3_hour</th>\n",
+       "      <th>o3_quality</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>station</th>\n",
+       "      <th>o3_value</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">Barcelona - Ciutadella</th>\n",
+       "      <th>1.0</th>\n",
+       "      <td>9</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2.0</th>\n",
+       "      <td>95</td>\n",
+       "      <td>95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3.0</th>\n",
+       "      <td>33</td>\n",
+       "      <td>33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4.0</th>\n",
+       "      <td>14</td>\n",
+       "      <td>14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5.0</th>\n",
+       "      <td>15</td>\n",
+       "      <td>15</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">Barcelona - Vall Hebron</th>\n",
+       "      <th>76.0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78.0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>79.0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>81.0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82.0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>408 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                  o3_hour  o3_quality\n",
+       "station                 o3_value                     \n",
+       "Barcelona - Ciutadella  1.0             9           9\n",
+       "                        2.0            95          95\n",
+       "                        3.0            33          33\n",
+       "                        4.0            14          14\n",
+       "                        5.0            15          15\n",
+       "...                                   ...         ...\n",
+       "Barcelona - Vall Hebron 76.0            1           1\n",
+       "                        78.0            1           1\n",
+       "                        79.0            1           1\n",
+       "                        81.0            1           1\n",
+       "                        82.0            1           1\n",
+       "\n",
+       "[408 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "my_data.groupby([\"station\",\"o3_value\"]).count()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>station</th>\n",
+       "      <th>air_quality</th>\n",
+       "      <th>longitude</th>\n",
+       "      <th>latitude</th>\n",
+       "      <th>o3_hour</th>\n",
+       "      <th>o3_quality</th>\n",
+       "      <th>o3_value</th>\n",
+       "      <th>generated</th>\n",
+       "      <th>date_time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>2.1538</td>\n",
+       "      <td>41.3853</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1534</td>\n",
+       "      <td>41.3987</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>1/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1874</td>\n",
+       "      <td>41.3864</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1480</td>\n",
+       "      <td>41.4261</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>1/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1151</td>\n",
+       "      <td>41.3875</td>\n",
+       "      <td>23h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>1/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4096</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1534</td>\n",
+       "      <td>41.3987</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4097</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1874</td>\n",
+       "      <td>41.3864</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4098</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1480</td>\n",
+       "      <td>41.4261</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4099</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1151</td>\n",
+       "      <td>41.3875</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4100</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1239</td>\n",
+       "      <td>41.4183</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>4101 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       station air_quality  longitude  latitude o3_hour  \\\n",
+       "0         Barcelona - Eixample    Moderate     2.1538   41.3853      0h   \n",
+       "1           Barcelona - Gràcia        Good     2.1534   41.3987      0h   \n",
+       "2       Barcelona - Ciutadella        Good     2.1874   41.3864      0h   \n",
+       "3      Barcelona - Vall Hebron        Good     2.1480   41.4261      0h   \n",
+       "4      Barcelona - Palau Reial        Good     2.1151   41.3875     23h   \n",
+       "...                        ...         ...        ...       ...     ...   \n",
+       "4096        Barcelona - Gràcia        Good     2.1534   41.3987     22h   \n",
+       "4097    Barcelona - Ciutadella        Good     2.1874   41.3864     22h   \n",
+       "4098   Barcelona - Vall Hebron        Good     2.1480   41.4261     22h   \n",
+       "4099   Barcelona - Palau Reial        Good     2.1151   41.3875     22h   \n",
+       "4100  Barcelona - Observ Fabra        Good     2.1239   41.4183     22h   \n",
+       "\n",
+       "     o3_quality  o3_value         generated   date_time  \n",
+       "0          Good       1.0    1/11/2018 0:00  1541027104  \n",
+       "1          Good      10.0    1/11/2018 0:00  1541027104  \n",
+       "2          Good       2.0    1/11/2018 0:00  1541027104  \n",
+       "3          Good       7.0    1/11/2018 0:00  1541027104  \n",
+       "4          Good      11.0    1/11/2018 0:00  1541027104  \n",
+       "...         ...       ...               ...         ...  \n",
+       "4096       Good       8.0  30/11/2018 23:00  1543615502  \n",
+       "4097       Good      10.0  30/11/2018 23:00  1543615502  \n",
+       "4098       Good      32.0  30/11/2018 23:00  1543615502  \n",
+       "4099       Good      40.0  30/11/2018 23:00  1543615502  \n",
+       "4100       Good      64.0  30/11/2018 23:00  1543615502  \n",
+       "\n",
+       "[4101 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nulls_o3 = o3_df[o3_df['o3_value'].isna() == True].index.tolist()\n",
+    "o3_clean = o3_df.drop(nulls_o3)\n",
+    "o3_clean.reset_index(drop=True,inplace=True)\n",
+    "o3_clean"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>station</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Ciutadella</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>25.13</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>17.04</td>\n",
+       "      <td>14.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Gràcia</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>26.68</td>\n",
+       "      <td>26.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Observ Fabra</th>\n",
+       "      <td>16.0</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>65.36</td>\n",
+       "      <td>66.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Palau Reial</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>32.02</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Vall Hebron</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>82.0</td>\n",
+       "      <td>36.37</td>\n",
+       "      <td>40.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           min    max   mean  median\n",
+       "station                                             \n",
+       "Barcelona - Ciutadella     1.0   85.0  25.13    22.0\n",
+       "Barcelona - Eixample       1.0   61.0  17.04    14.0\n",
+       "Barcelona - Gràcia         1.0   69.0  26.68    26.0\n",
+       "Barcelona - Observ Fabra  16.0  100.0  65.36    66.0\n",
+       "Barcelona - Palau Reial    1.0   64.0  32.02    35.0\n",
+       "Barcelona - Vall Hebron    1.0   82.0  36.37    40.0"
+      ]
+     },
+     "execution_count": 62,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "o3_clean.groupby('station').o3_value.agg(['min', 'max', 'mean', 'median']).round(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>o3_hour</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>89.0</td>\n",
+       "      <td>27.66</td>\n",
+       "      <td>23.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>28.50</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>32.30</td>\n",
+       "      <td>31.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>81.0</td>\n",
+       "      <td>39.97</td>\n",
+       "      <td>41.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13h</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>81.0</td>\n",
+       "      <td>45.00</td>\n",
+       "      <td>46.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14h</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>44.59</td>\n",
+       "      <td>46.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15h</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>44.29</td>\n",
+       "      <td>46.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16h</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>81.0</td>\n",
+       "      <td>44.45</td>\n",
+       "      <td>46.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>80.0</td>\n",
+       "      <td>42.01</td>\n",
+       "      <td>42.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>34.02</td>\n",
+       "      <td>34.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>28.47</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>83.0</td>\n",
+       "      <td>30.49</td>\n",
+       "      <td>30.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>99.0</td>\n",
+       "      <td>27.12</td>\n",
+       "      <td>21.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>100.0</td>\n",
+       "      <td>27.95</td>\n",
+       "      <td>22.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>91.0</td>\n",
+       "      <td>30.17</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>92.0</td>\n",
+       "      <td>33.36</td>\n",
+       "      <td>31.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>33.43</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>85.0</td>\n",
+       "      <td>35.27</td>\n",
+       "      <td>35.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>36.64</td>\n",
+       "      <td>38.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>88.0</td>\n",
+       "      <td>36.97</td>\n",
+       "      <td>37.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>90.0</td>\n",
+       "      <td>35.95</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>31.59</td>\n",
+       "      <td>32.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>87.0</td>\n",
+       "      <td>27.24</td>\n",
+       "      <td>20.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>24.96</td>\n",
+       "      <td>17.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         min    max   mean  median\n",
+       "o3_hour                           \n",
+       "0h       1.0   89.0  27.66    23.0\n",
+       "10h      1.0   83.0  28.50    24.0\n",
+       "11h      1.0   84.0  32.30    31.0\n",
+       "12h      1.0   81.0  39.97    41.0\n",
+       "13h      2.0   81.0  45.00    46.0\n",
+       "14h      2.0   83.0  44.59    46.0\n",
+       "15h      2.0   85.0  44.29    46.0\n",
+       "16h      2.0   81.0  44.45    46.0\n",
+       "17h      1.0   80.0  42.01    42.0\n",
+       "18h      1.0   85.0  34.02    34.5\n",
+       "19h      1.0   90.0  28.47    24.0\n",
+       "1h       1.0   83.0  30.49    30.0\n",
+       "20h      1.0   99.0  27.12    21.0\n",
+       "21h      1.0  100.0  27.95    22.0\n",
+       "22h      1.0   91.0  30.17    25.0\n",
+       "23h      1.0   92.0  33.36    31.0\n",
+       "2h       1.0   84.0  33.43    34.0\n",
+       "3h       1.0   85.0  35.27    35.0\n",
+       "4h       1.0   86.0  36.64    38.5\n",
+       "5h       1.0   88.0  36.97    37.5\n",
+       "6h       1.0   90.0  35.95    34.0\n",
+       "7h       1.0   86.0  31.59    32.0\n",
+       "8h       1.0   87.0  27.24    20.0\n",
+       "9h       1.0   84.0  24.96    17.0"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "o3_clean.groupby('o3_hour')['o3_value'].agg(['min','max','mean','median']).round(2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 57,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
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+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>median</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>station</th>\n",
+       "      <th>o3_hour</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">Barcelona - Ciutadella</th>\n",
+       "      <th>0h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>71.0</td>\n",
+       "      <td>16.55</td>\n",
+       "      <td>9.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10h</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>47.0</td>\n",
+       "      <td>14.80</td>\n",
+       "      <td>12.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11h</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>53.0</td>\n",
+       "      <td>23.93</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12h</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>57.0</td>\n",
+       "      <td>32.83</td>\n",
+       "      <td>33.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13h</th>\n",
+       "      <td>7.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>37.92</td>\n",
+       "      <td>42.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">Barcelona - Vall Hebron</th>\n",
+       "      <th>5h</th>\n",
+       "      <td>4.0</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>41.20</td>\n",
+       "      <td>47.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6h</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>66.0</td>\n",
+       "      <td>37.97</td>\n",
+       "      <td>41.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7h</th>\n",
+       "      <td>1.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>30.28</td>\n",
+       "      <td>32.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8h</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>61.0</td>\n",
+       "      <td>27.13</td>\n",
+       "      <td>29.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9h</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>54.0</td>\n",
+       "      <td>28.31</td>\n",
+       "      <td>34.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>144 rows × 4 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                 min   max   mean  median\n",
+       "station                 o3_hour                          \n",
+       "Barcelona - Ciutadella  0h       1.0  71.0  16.55     9.5\n",
+       "                        10h      2.0  47.0  14.80    12.5\n",
+       "                        11h      3.0  53.0  23.93    25.0\n",
+       "                        12h      2.0  57.0  32.83    33.5\n",
+       "                        13h      7.0  65.0  37.92    42.0\n",
+       "...                              ...   ...    ...     ...\n",
+       "Barcelona - Vall Hebron 5h       4.0  70.0  41.20    47.5\n",
+       "                        6h       5.0  66.0  37.97    41.0\n",
+       "                        7h       1.0  65.0  30.28    32.0\n",
+       "                        8h       2.0  61.0  27.13    29.5\n",
+       "                        9h       3.0  54.0  28.31    34.0\n",
+       "\n",
+       "[144 rows x 4 columns]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(o3_clean.groupby(['station','o3_hour'])['o3_value'].agg(['min','max','mean','median']).round(2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "monday = o3_clean[o3_clean['generated'].str.contains('05/11/2018|12/11/2018|19/11/2018|26/11/2018')]\n",
+    "tuesday = o3_clean[o3_clean['generated'].str.contains('06/11/2018|13/11/2018|20/11/2018|27/11/2018')]\n",
+    "wednesday = o3_clean[o3_clean['generated'].str.contains('07/11/2018|14/11/2018|21/11/2018|28/11/2018')]\n",
+    "thursday = o3_clean[o3_clean['generated'].str.contains('01/11/2018|08/11/2018|15/11/2018|22/11/2018|29/11/2018')]\n",
+    "friday = o3_clean[o3_clean['generated'].str.contains('02/11/2018|09/11/2018|16/11/2018|23/11/2018|30/11/2018')]\n",
+    "saturday = o3_clean[o3_clean['generated'].str.contains('03/11/2018|10/11/2018|17/11/2018|24/11/2018')]\n",
+    "sunday = o3_clean[o3_clean['generated'].str.contains('04/11/2018|11/11/2018|18/11/2018|25/11/2018')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mon_mean = monday['o3_value'].mean()\n",
+    "tue_mean = tuesday['o3_value'].mean()\n",
+    "wed_mean = wednesday['o3_value'].mean()\n",
+    "thu_mean = thursday['o3_value'].mean()\n",
+    "fri_mean = friday['o3_value'].mean()\n",
+    "sat_mean = saturday['o3_value'].mean()\n",
+    "sun_mean = sunday['o3_value'].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>O3 Mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Weekdays</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Monday</th>\n",
+       "      <td>36.84</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Tuesday</th>\n",
+       "      <td>35.02</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Wednesday</th>\n",
+       "      <td>32.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Thursday</th>\n",
+       "      <td>28.68</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Friday</th>\n",
+       "      <td>22.39</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Saturday</th>\n",
+       "      <td>40.27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sunday</th>\n",
+       "      <td>44.10</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           O3 Mean\n",
+       "Weekdays          \n",
+       "Monday       36.84\n",
+       "Tuesday      35.02\n",
+       "Wednesday    32.72\n",
+       "Thursday     28.68\n",
+       "Friday       22.39\n",
+       "Saturday     40.27\n",
+       "Sunday       44.10"
+      ]
+     },
+     "execution_count": 81,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "weekdays = [['Monday', mon_mean], ['Tuesday', tue_mean], ['Wednesday', wed_mean], ['Thursday', thu_mean], ['Friday', fri_mean], ['Saturday', sat_mean], ['Sunday', sun_mean]]\n",
+    "\n",
+    "weekdf = pd.DataFrame(weekdays,columns=['Weekdays','O3 Mean']).set_index('Weekdays').round(2)\n",
+    "weekdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 83,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "week_1 = o3_clean[o3_clean['generated'].str.contains('01/11/2018|02/11/2018|03/11/2018|04/11/2018|05/11/2018|06/11/2018|07/11/2018')]\n",
+    "week_2 = o3_clean[o3_clean['generated'].str.contains('08/11/2018|09/11/2018|10/11/2018|11/11/2018|12/11/2018|13/11/2018|14/11/2018')]\n",
+    "week_3 = o3_clean[o3_clean['generated'].str.contains('15/11/2018|16/11/2018|17/11/2018|18/11/2018|19/11/2018|20/11/2018|21/11/2018')]\n",
+    "week_4 = o3_clean[o3_clean['generated'].str.contains('22/11/2018|23/11/2018|24/11/2018|25/11/2018|26/11/2018|27/11/2018|28/11/2018')]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "w1_mean = week_1['o3_value'].mean()\n",
+    "w2_mean = week_2['o3_value'].mean()\n",
+    "w3_mean = week_3['o3_value'].mean()\n",
+    "w4_mean = week_4['o3_value'].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>O3 Mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Weeks</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Week 1</th>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Week 2</th>\n",
+       "      <td>40.074605</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Week 3</th>\n",
+       "      <td>38.747604</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Week 4</th>\n",
+       "      <td>30.050568</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          O3 Mean\n",
+       "Weeks            \n",
+       "Week 1        NaN\n",
+       "Week 2  40.074605\n",
+       "Week 3  38.747604\n",
+       "Week 4  30.050568"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "weeks = [['Week 1', w1_mean], ['Week 2', w2_mean], ['Week 3', w3_mean], ['Week 4', w4_mean]]\n",
+    "\n",
+    "weeksdf = pd.DataFrame(weeks,columns=['Weeks','O3 Mean']).set_index('Weeks')\n",
+    "weeksdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 71,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>station</th>\n",
+       "      <th>o3_hour</th>\n",
+       "      <th>o3_quality</th>\n",
+       "      <th>o3_value</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>5543</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>21h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>100.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5535</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>20h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>99.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>959</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>23h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>92.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5551</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>91.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5559</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>23h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>91.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2159</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>6h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>90.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3823</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>90.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5527</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>19h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>90.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5567</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>89.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5607</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>5h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>88.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>87.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>847</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>8h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>87.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2151</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>5h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>87.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2175</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>8h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>87.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2351</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>6h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>87.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4271</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>6h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>87.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>751</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>20h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>86.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2335</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>4h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>86.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2343</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>5h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>86.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2359</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>7h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>86.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2367</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>8h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>86.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4263</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>5h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>86.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>915</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>18h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>85.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1583</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>5h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>85.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2327</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>3h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>85.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2615</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>15h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>85.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2735</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>6h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>85.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>679</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>11h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2231</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>15h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2319</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>2h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2375</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>9h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5599</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>4h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5639</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>9h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>31</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>2h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>83.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>3h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>83.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>671</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>10h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>83.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>919</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>18h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>83.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2223</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>14h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>83.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4255</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>4h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>83.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5031</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>5h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>83.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5455</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>10h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>83.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5575</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>1h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>83.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>615</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>3h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>82.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>623</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>4h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>82.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>916</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>18h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>82.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2167</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>7h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>82.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4247</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>3h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>82.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5583</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>2h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>82.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5647</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>10h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>82.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>4h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>81.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       station o3_hour o3_quality  o3_value\n",
+       "5543  Barcelona - Observ Fabra     21h       Good     100.0\n",
+       "5535  Barcelona - Observ Fabra     20h       Good      99.0\n",
+       "959   Barcelona - Observ Fabra     23h       Good      92.0\n",
+       "5551  Barcelona - Observ Fabra     22h       Good      91.0\n",
+       "5559  Barcelona - Observ Fabra     23h       Good      91.0\n",
+       "2159  Barcelona - Observ Fabra      6h       Good      90.0\n",
+       "3823  Barcelona - Observ Fabra     22h       Good      90.0\n",
+       "5527  Barcelona - Observ Fabra     19h       Good      90.0\n",
+       "5567  Barcelona - Observ Fabra      0h       Good      89.0\n",
+       "5607  Barcelona - Observ Fabra      5h       Good      88.0\n",
+       "15    Barcelona - Observ Fabra      0h       Good      87.0\n",
+       "847   Barcelona - Observ Fabra      8h       Good      87.0\n",
+       "2151  Barcelona - Observ Fabra      5h       Good      87.0\n",
+       "2175  Barcelona - Observ Fabra      8h       Good      87.0\n",
+       "2351  Barcelona - Observ Fabra      6h       Good      87.0\n",
+       "4271  Barcelona - Observ Fabra      6h       Good      87.0\n",
+       "751   Barcelona - Observ Fabra     20h       Good      86.0\n",
+       "2335  Barcelona - Observ Fabra      4h       Good      86.0\n",
+       "2343  Barcelona - Observ Fabra      5h       Good      86.0\n",
+       "2359  Barcelona - Observ Fabra      7h       Good      86.0\n",
+       "2367  Barcelona - Observ Fabra      8h       Good      86.0\n",
+       "4263  Barcelona - Observ Fabra      5h       Good      86.0\n",
+       "915     Barcelona - Ciutadella     18h       Good      85.0\n",
+       "1583  Barcelona - Observ Fabra      5h       Good      85.0\n",
+       "2327  Barcelona - Observ Fabra      3h       Good      85.0\n",
+       "2615  Barcelona - Observ Fabra     15h       Good      85.0\n",
+       "2735  Barcelona - Observ Fabra      6h       Good      85.0\n",
+       "679   Barcelona - Observ Fabra     11h       Good      84.0\n",
+       "2231  Barcelona - Observ Fabra     15h       Good      84.0\n",
+       "2319  Barcelona - Observ Fabra      2h       Good      84.0\n",
+       "2375  Barcelona - Observ Fabra      9h       Good      84.0\n",
+       "5599  Barcelona - Observ Fabra      4h       Good      84.0\n",
+       "5639  Barcelona - Observ Fabra      9h       Good      84.0\n",
+       "31    Barcelona - Observ Fabra      2h       Good      83.0\n",
+       "39    Barcelona - Observ Fabra      3h       Good      83.0\n",
+       "671   Barcelona - Observ Fabra     10h       Good      83.0\n",
+       "919   Barcelona - Observ Fabra     18h       Good      83.0\n",
+       "2223  Barcelona - Observ Fabra     14h       Good      83.0\n",
+       "4255  Barcelona - Observ Fabra      4h       Good      83.0\n",
+       "5031  Barcelona - Observ Fabra      5h       Good      83.0\n",
+       "5455  Barcelona - Observ Fabra     10h       Good      83.0\n",
+       "5575  Barcelona - Observ Fabra      1h       Good      83.0\n",
+       "615   Barcelona - Observ Fabra      3h       Good      82.0\n",
+       "623   Barcelona - Observ Fabra      4h       Good      82.0\n",
+       "916    Barcelona - Vall Hebron     18h       Good      82.0\n",
+       "2167  Barcelona - Observ Fabra      7h       Good      82.0\n",
+       "4247  Barcelona - Observ Fabra      3h       Good      82.0\n",
+       "5583  Barcelona - Observ Fabra      2h       Good      82.0\n",
+       "5647  Barcelona - Observ Fabra     10h       Good      82.0\n",
+       "47    Barcelona - Observ Fabra      4h       Good      81.0"
+      ]
+     },
+     "execution_count": 71,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "max_values = my_data.nlargest(columns='o3_value', n = 50)\n",
+    "\n",
+    "max_values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.8.5"
+  },
+  "latex_envs": {
+   "LaTeX_envs_menu_present": true,
+   "autoclose": false,
+   "autocomplete": true,
+   "bibliofile": "biblio.bib",
+   "cite_by": "apalike",
+   "current_citInitial": 1,
+   "eqLabelWithNumbers": true,
+   "eqNumInitial": 1,
+   "hotkeys": {
+    "equation": "Ctrl-E",
+    "itemize": "Ctrl-I"
+   },
+   "labels_anchors": false,
+   "latex_user_defs": false,
+   "report_style_numbering": false,
+   "user_envs_cfg": false
+  },
+  "varInspector": {
+   "cols": {
+    "lenName": 16,
+    "lenType": 16,
+    "lenVar": 40
+   },
+   "kernels_config": {
+    "python": {
+     "delete_cmd_postfix": "",
+     "delete_cmd_prefix": "del ",
+     "library": "var_list.py",
+     "varRefreshCmd": "print(var_dic_list())"
+    },
+    "r": {
+     "delete_cmd_postfix": ") ",
+     "delete_cmd_prefix": "rm(",
+     "library": "var_list.r",
+     "varRefreshCmd": "cat(var_dic_list()) "
+    }
+   },
+   "types_to_exclude": [
+    "module",
+    "function",
+    "builtin_function_or_method",
+    "instance",
+    "_Feature"
+   ],
+   "window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/your-project/PM10_analysis.ipynb b/your-project/PM10_analysis.ipynb
new file mode 100644
index 0000000..c2ff2c8
--- /dev/null
+++ b/your-project/PM10_analysis.ipynb
@@ -0,0 +1,2525 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 294,
+   "id": "facial-portfolio",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T16:30:48.272071Z",
+     "start_time": "2021-04-01T16:30:48.062154Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Air Quality</th>\n",
+       "      <th>Longitude</th>\n",
+       "      <th>Latitude</th>\n",
+       "      <th>O3 Hour</th>\n",
+       "      <th>O3 Quality</th>\n",
+       "      <th>O3 Value</th>\n",
+       "      <th>NO2 Hour</th>\n",
+       "      <th>NO2 Quality</th>\n",
+       "      <th>NO2 Value</th>\n",
+       "      <th>PM10 Hour</th>\n",
+       "      <th>PM10 Quality</th>\n",
+       "      <th>PM10 Value</th>\n",
+       "      <th>Generated</th>\n",
+       "      <th>Date Time</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Sants</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1331</td>\n",
+       "      <td>41.3788</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>84.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>2.1538</td>\n",
+       "      <td>41.3853</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>113.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1534</td>\n",
+       "      <td>41.3987</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>73.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1874</td>\n",
+       "      <td>41.3864</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>86.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1480</td>\n",
+       "      <td>41.4261</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>1541027104</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5739</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1874</td>\n",
+       "      <td>41.3864</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>57.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5740</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1480</td>\n",
+       "      <td>41.4261</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5741</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1151</td>\n",
+       "      <td>41.3875</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5742</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.2045</td>\n",
+       "      <td>41.4039</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>70.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5743</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.1239</td>\n",
+       "      <td>41.4183</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>1543615502</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5744 rows × 15 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       Station Air Quality  Longitude  Latitude O3 Hour  \\\n",
+       "0            Barcelona - Sants        Good     2.1331   41.3788     NaN   \n",
+       "1         Barcelona - Eixample    Moderate     2.1538   41.3853      0h   \n",
+       "2           Barcelona - Gràcia        Good     2.1534   41.3987      0h   \n",
+       "3       Barcelona - Ciutadella        Good     2.1874   41.3864      0h   \n",
+       "4      Barcelona - Vall Hebron        Good     2.1480   41.4261      0h   \n",
+       "...                        ...         ...        ...       ...     ...   \n",
+       "5739    Barcelona - Ciutadella        Good     2.1874   41.3864     22h   \n",
+       "5740   Barcelona - Vall Hebron        Good     2.1480   41.4261     22h   \n",
+       "5741   Barcelona - Palau Reial        Good     2.1151   41.3875     22h   \n",
+       "5742      Barcelona - Poblenou        Good     2.2045   41.4039     NaN   \n",
+       "5743  Barcelona - Observ Fabra        Good     2.1239   41.4183     22h   \n",
+       "\n",
+       "     O3 Quality  O3 Value NO2 Hour NO2 Quality  NO2 Value PM10 Hour  \\\n",
+       "0           NaN       NaN       0h        Good       84.0       NaN   \n",
+       "1          Good       1.0       0h    Moderate      113.0        0h   \n",
+       "2          Good      10.0       0h        Good       73.0       NaN   \n",
+       "3          Good       2.0       0h        Good       86.0       NaN   \n",
+       "4          Good       7.0       0h        Good       69.0       NaN   \n",
+       "...         ...       ...      ...         ...        ...       ...   \n",
+       "5739       Good      10.0      22h        Good       57.0       NaN   \n",
+       "5740       Good      32.0      22h        Good       31.0       22h   \n",
+       "5741       Good      40.0      22h        Good       20.0       22h   \n",
+       "5742        NaN       NaN      22h        Good       70.0       22h   \n",
+       "5743       Good      64.0      22h        Good       21.0       22h   \n",
+       "\n",
+       "     PM10 Quality  PM10 Value         Generated   Date Time  \n",
+       "0             NaN         NaN   01/11/2018 0:00  1541027104  \n",
+       "1            Good        36.0   01/11/2018 0:00  1541027104  \n",
+       "2             NaN         NaN   01/11/2018 0:00  1541027104  \n",
+       "3             NaN         NaN   01/11/2018 0:00  1541027104  \n",
+       "4             NaN         NaN   01/11/2018 0:00  1541027104  \n",
+       "...           ...         ...               ...         ...  \n",
+       "5739          NaN         NaN  30/11/2018 23:00  1543615502  \n",
+       "5740         Good        21.0  30/11/2018 23:00  1543615502  \n",
+       "5741         Good        15.0  30/11/2018 23:00  1543615502  \n",
+       "5742         Good        25.0  30/11/2018 23:00  1543615502  \n",
+       "5743         Good        12.0  30/11/2018 23:00  1543615502  \n",
+       "\n",
+       "[5744 rows x 15 columns]"
+      ]
+     },
+     "execution_count": 294,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "data = pd.read_csv('../datasets/2.-Urban-Environment/air-quality-nov-2017.csv')\n",
+    "\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 295,
+   "id": "ambient-preliminary",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T16:30:50.724835Z",
+     "start_time": "2021-04-01T16:30:50.649221Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Air Quality</th>\n",
+       "      <th>PM10 Hour</th>\n",
+       "      <th>PM10 Quality</th>\n",
+       "      <th>PM10 Value</th>\n",
+       "      <th>Generated</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Sants</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>0h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5739</th>\n",
+       "      <td>Barcelona - Ciutadella</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5740</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5741</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5742</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5743</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>22h</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5744 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       Station Air Quality PM10 Hour PM10 Quality  PM10 Value  \\\n",
+       "0            Barcelona - Sants        Good       NaN          NaN         NaN   \n",
+       "1         Barcelona - Eixample    Moderate        0h         Good        36.0   \n",
+       "2           Barcelona - Gràcia        Good       NaN          NaN         NaN   \n",
+       "3       Barcelona - Ciutadella        Good       NaN          NaN         NaN   \n",
+       "4      Barcelona - Vall Hebron        Good       NaN          NaN         NaN   \n",
+       "...                        ...         ...       ...          ...         ...   \n",
+       "5739    Barcelona - Ciutadella        Good       NaN          NaN         NaN   \n",
+       "5740   Barcelona - Vall Hebron        Good       22h         Good        21.0   \n",
+       "5741   Barcelona - Palau Reial        Good       22h         Good        15.0   \n",
+       "5742      Barcelona - Poblenou        Good       22h         Good        25.0   \n",
+       "5743  Barcelona - Observ Fabra        Good       22h         Good        12.0   \n",
+       "\n",
+       "             Generated  \n",
+       "0      01/11/2018 0:00  \n",
+       "1      01/11/2018 0:00  \n",
+       "2      01/11/2018 0:00  \n",
+       "3      01/11/2018 0:00  \n",
+       "4      01/11/2018 0:00  \n",
+       "...                ...  \n",
+       "5739  30/11/2018 23:00  \n",
+       "5740  30/11/2018 23:00  \n",
+       "5741  30/11/2018 23:00  \n",
+       "5742  30/11/2018 23:00  \n",
+       "5743  30/11/2018 23:00  \n",
+       "\n",
+       "[5744 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 295,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#dropping non-PM10-related columns\n",
+    "\n",
+    "pm = data.drop(columns=['O3 Hour','O3 Quality','O3 Value','NO2 Hour','NO2 Quality','NO2 Value','Date Time','Longitude','Latitude'])\n",
+    "\n",
+    "pm"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 311,
+   "id": "miniature-holmes",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T17:10:52.569479Z",
+     "start_time": "2021-04-01T17:10:52.542809Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "3647"
+      ]
+     },
+     "execution_count": 311,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Removing NaN rows\n",
+    "\n",
+    "nantodrop = pm[pm['PM10 Value'].isna() == True].index.tolist()\n",
+    "pm2 = pm.drop(nantodrop)\n",
+    "pm2.reset_index(drop=True,inplace=True)\n",
+    "\n",
+    "pm2['PM10 Value'].value_counts().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 228,
+   "id": "horizontal-example",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T13:48:53.208152Z",
+     "start_time": "2021-04-01T13:48:53.151069Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Air Quality</th>\n",
+       "      <th>PM10 Quality</th>\n",
+       "      <th>PM10 Value</th>\n",
+       "      <th>Generated</th>\n",
+       "      <th>Time (h)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>01/11/2018 1:00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3642</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3643</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3644</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3645</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3646</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3647 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       Station Air Quality PM10 Quality  PM10 Value  \\\n",
+       "0         Barcelona - Eixample    Moderate         Good        36.0   \n",
+       "1      Barcelona - Palau Reial        Good         Good        23.0   \n",
+       "2         Barcelona - Poblenou        Good         Good        32.0   \n",
+       "3     Barcelona - Observ Fabra        Good         Good        25.0   \n",
+       "4         Barcelona - Eixample        Good         Good        35.0   \n",
+       "...                        ...         ...          ...         ...   \n",
+       "3642        Barcelona - Gràcia        Good         Good        22.0   \n",
+       "3643   Barcelona - Vall Hebron        Good         Good        21.0   \n",
+       "3644   Barcelona - Palau Reial        Good         Good        15.0   \n",
+       "3645      Barcelona - Poblenou        Good         Good        25.0   \n",
+       "3646  Barcelona - Observ Fabra        Good         Good        12.0   \n",
+       "\n",
+       "             Generated  Time (h)  \n",
+       "0      01/11/2018 0:00         0  \n",
+       "1      01/11/2018 0:00        23  \n",
+       "2      01/11/2018 0:00        23  \n",
+       "3      01/11/2018 0:00        23  \n",
+       "4      01/11/2018 1:00         1  \n",
+       "...                ...       ...  \n",
+       "3642  30/11/2018 23:00        22  \n",
+       "3643  30/11/2018 23:00        22  \n",
+       "3644  30/11/2018 23:00        22  \n",
+       "3645  30/11/2018 23:00        22  \n",
+       "3646  30/11/2018 23:00        22  \n",
+       "\n",
+       "[3647 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 228,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Removing \"h\" from PM10 Hour column elements in a new column\n",
+    "\n",
+    "pm2['time'] = list(map(lambda x: int(re.findall(r\"\\d+\",x)[0]),pm2['PM10 Hour']))\n",
+    "pm2.rename(columns={'time':'Time (h)'},inplace=True)\n",
+    "pm2.drop(columns=['PM10 Hour'],inplace=True)\n",
+    "pm2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 290,
+   "id": "plastic-grove",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T16:10:13.198267Z",
+     "start_time": "2021-04-01T16:10:13.118788Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Time (h)</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>16.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>17.23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>16.34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>17.23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>16.81</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>16.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>16.59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>16.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>16.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>16.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>16.29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>16.42</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          min   max   mean\n",
+       "Time (h)                  \n",
+       "0         2.0  42.0  16.07\n",
+       "1         3.0  43.0  17.23\n",
+       "2         2.0  39.0  16.34\n",
+       "3         2.0  44.0  17.23\n",
+       "4         3.0  44.0  16.81\n",
+       "5         2.0  44.0  16.88\n",
+       "6         2.0  44.0  16.59\n",
+       "7         2.0  43.0  16.66\n",
+       "8         2.0  42.0  16.46\n",
+       "9         3.0  40.0  16.58\n",
+       "10        2.0  38.0  16.29\n",
+       "11        3.0  39.0  16.42"
+      ]
+     },
+     "execution_count": 290,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Analyzing how it changes throughout the day\n",
+    "\n",
+    "roun = lambda x: np.round(np.mean(x),decimals=2)\n",
+    "hourly = pm2.groupby('Time (h)')['PM10 Value'].agg(['min','max','mean']).round(2).sort_values('Time (h)')\n",
+    "hourly_df1 = hourly.iloc[:12,:]\n",
+    "hourly_df2 = hourly.iloc[12:,:]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 291,
+   "id": "sticky-popularity",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T16:10:22.045671Z",
+     "start_time": "2021-04-01T16:10:21.994665Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
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+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Time (h)</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>16.07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>17.23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>16.34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>17.23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>16.81</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>16.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>16.59</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>16.66</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>16.46</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>40.0</td>\n",
+       "      <td>16.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>16.29</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>16.42</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          min   max   mean\n",
+       "Time (h)                  \n",
+       "0         2.0  42.0  16.07\n",
+       "1         3.0  43.0  17.23\n",
+       "2         2.0  39.0  16.34\n",
+       "3         2.0  44.0  17.23\n",
+       "4         3.0  44.0  16.81\n",
+       "5         2.0  44.0  16.88\n",
+       "6         2.0  44.0  16.59\n",
+       "7         2.0  43.0  16.66\n",
+       "8         2.0  42.0  16.46\n",
+       "9         3.0  40.0  16.58\n",
+       "10        2.0  38.0  16.29\n",
+       "11        3.0  39.0  16.42"
+      ]
+     },
+     "execution_count": 291,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hourly_df1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 289,
+   "id": "bridal-realtor",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T16:08:36.558117Z",
+     "start_time": "2021-04-01T16:08:36.514976Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\n",
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+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Time (h)</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>16.34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>16.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>16.55</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>16.53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>16.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>16.01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>16.81</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>16.73</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>16.51</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>16.40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>16.58</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>16.70</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          min   max   mean\n",
+       "Time (h)                  \n",
+       "12        3.0  41.0  16.34\n",
+       "13        3.0  42.0  16.93\n",
+       "14        3.0  42.0  16.55\n",
+       "15        2.0  43.0  16.53\n",
+       "16        2.0  43.0  16.51\n",
+       "17        2.0  42.0  16.01\n",
+       "18        2.0  41.0  16.81\n",
+       "19        3.0  41.0  16.73\n",
+       "20        2.0  41.0  16.51\n",
+       "21        2.0  41.0  16.40\n",
+       "22        3.0  42.0  16.58\n",
+       "23        2.0  41.0  16.70"
+      ]
+     },
+     "execution_count": 289,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "hourly_df2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 230,
+   "id": "civil-valuation",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T13:49:11.691227Z",
+     "start_time": "2021-04-01T13:49:11.641786Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Station</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Observ Fabra</th>\n",
+       "      <td>5.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>10.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Vall Hebron</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>13.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Palau Reial</th>\n",
+       "      <td>6.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>14.53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Gràcia</th>\n",
+       "      <td>7.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>16.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Poblenou</th>\n",
+       "      <td>7.0</td>\n",
+       "      <td>38.0</td>\n",
+       "      <td>20.54</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>11.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>22.78</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                           min   max   mean\n",
+       "Station                                    \n",
+       "Barcelona - Observ Fabra   5.0  25.0  10.77\n",
+       "Barcelona - Vall Hebron    2.0  32.0  13.91\n",
+       "Barcelona - Palau Reial    6.0  29.0  14.53\n",
+       "Barcelona - Gràcia         7.0  31.0  16.82\n",
+       "Barcelona - Poblenou       7.0  38.0  20.54\n",
+       "Barcelona - Eixample      11.0  44.0  22.78"
+      ]
+     },
+     "execution_count": 230,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Analyzing the difference between Stations\n",
+    "\n",
+    "pm2.groupby('Station')['PM10 Value'].agg(['min','max','mean']).round(2).sort_values('mean')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 298,
+   "id": "small-pledge",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T16:32:33.030744Z",
+     "start_time": "2021-04-01T16:32:32.970748Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "# to see full table\n",
+    "\n",
+    "pd.set_option('display.max_rows', 50)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 232,
+   "id": "soviet-salon",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T13:49:18.004853Z",
+     "start_time": "2021-04-01T13:49:17.935098Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
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+       "\n",
+       "    .dataframe thead th {\n",
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+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th>min</th>\n",
+       "      <th>max</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Station</th>\n",
+       "      <th>Time (h)</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">Barcelona - Eixample</th>\n",
+       "      <th>0</th>\n",
+       "      <td>12.0</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>22.43</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>11.0</td>\n",
+       "      <td>43.0</td>\n",
+       "      <td>22.97</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>11.0</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>21.93</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>11.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>23.70</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>11.0</td>\n",
+       "      <td>44.0</td>\n",
+       "      <td>23.34</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th rowspan=\"5\" valign=\"top\">Barcelona - Vall Hebron</th>\n",
+       "      <th>19</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>14.42</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>13.27</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>13.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>3.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>15.04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>2.0</td>\n",
+       "      <td>31.0</td>\n",
+       "      <td>13.57</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>144 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                   min   max   mean\n",
+       "Station                 Time (h)                   \n",
+       "Barcelona - Eixample    0         12.0  42.0  22.43\n",
+       "                        1         11.0  43.0  22.97\n",
+       "                        2         11.0  39.0  21.93\n",
+       "                        3         11.0  44.0  23.70\n",
+       "                        4         11.0  44.0  23.34\n",
+       "...                                ...   ...    ...\n",
+       "Barcelona - Vall Hebron 19         3.0  32.0  14.42\n",
+       "                        20         2.0  25.0  13.27\n",
+       "                        21         2.0  32.0  13.82\n",
+       "                        22         3.0  31.0  15.04\n",
+       "                        23         2.0  31.0  13.57\n",
+       "\n",
+       "[144 rows x 3 columns]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Analyzing the hourly change for every station\n",
+    "\n",
+    "display(pm2.groupby(['Station','Time (h)'])['PM10 Value'].agg(['min','max','mean']).round(2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 233,
+   "id": "sorted-profit",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T13:49:34.668276Z",
+     "start_time": "2021-04-01T13:49:34.606160Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Air Quality</th>\n",
+       "      <th>PM10 Quality</th>\n",
+       "      <th>PM10 Value</th>\n",
+       "      <th>Generated</th>\n",
+       "      <th>Time (h)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>01/11/2018 1:00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3642</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3643</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3644</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3645</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3646</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>30/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>3647 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       Station Air Quality PM10 Quality  PM10 Value  \\\n",
+       "0         Barcelona - Eixample    Moderate         Good        36.0   \n",
+       "1      Barcelona - Palau Reial        Good         Good        23.0   \n",
+       "2         Barcelona - Poblenou        Good         Good        32.0   \n",
+       "3     Barcelona - Observ Fabra        Good         Good        25.0   \n",
+       "4         Barcelona - Eixample        Good         Good        35.0   \n",
+       "...                        ...         ...          ...         ...   \n",
+       "3642        Barcelona - Gràcia        Good         Good        22.0   \n",
+       "3643   Barcelona - Vall Hebron        Good         Good        21.0   \n",
+       "3644   Barcelona - Palau Reial        Good         Good        15.0   \n",
+       "3645      Barcelona - Poblenou        Good         Good        25.0   \n",
+       "3646  Barcelona - Observ Fabra        Good         Good        12.0   \n",
+       "\n",
+       "             Generated  Time (h)  \n",
+       "0      01/11/2018 0:00         0  \n",
+       "1      01/11/2018 0:00        23  \n",
+       "2      01/11/2018 0:00        23  \n",
+       "3      01/11/2018 0:00        23  \n",
+       "4      01/11/2018 1:00         1  \n",
+       "...                ...       ...  \n",
+       "3642  30/11/2018 23:00        22  \n",
+       "3643  30/11/2018 23:00        22  \n",
+       "3644  30/11/2018 23:00        22  \n",
+       "3645  30/11/2018 23:00        22  \n",
+       "3646  30/11/2018 23:00        22  \n",
+       "\n",
+       "[3647 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 233,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_nov = pm2[pm2['Generated'].str.contains('\\d{2}/11/2018')].groupby(['Generated'])\n",
+    "df_nov.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 241,
+   "id": "spoken-saint",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T14:06:54.219391Z",
+     "start_time": "2021-04-01T14:06:54.093525Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Air Quality</th>\n",
+       "      <th>PM10 Quality</th>\n",
+       "      <th>PM10 Value</th>\n",
+       "      <th>Generated</th>\n",
+       "      <th>Time (h)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>425</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>05/11/2018 0:00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>426</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>05/11/2018 0:00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>427</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>05/11/2018 0:00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>428</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>05/11/2018 0:00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>429</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>14.0</td>\n",
+       "      <td>05/11/2018 0:00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3099</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>26/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3100</th>\n",
+       "      <td>Barcelona - Gràcia</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>26/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3101</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>26/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3102</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>26/11/2018 23:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3103</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>26/11/2018 23:00</td>\n",
+       "      <td>22</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>486 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                       Station Air Quality PM10 Quality  PM10 Value  \\\n",
+       "425       Barcelona - Eixample        Good         Good        19.0   \n",
+       "426    Barcelona - Vall Hebron        Good         Good         2.0   \n",
+       "427    Barcelona - Palau Reial        Good         Good        16.0   \n",
+       "428       Barcelona - Poblenou        Good         Good        19.0   \n",
+       "429   Barcelona - Observ Fabra        Good         Good        14.0   \n",
+       "...                        ...         ...          ...         ...   \n",
+       "3099      Barcelona - Eixample        Good         Good        13.0   \n",
+       "3100        Barcelona - Gràcia        Good         Good        13.0   \n",
+       "3101   Barcelona - Vall Hebron        Good         Good        10.0   \n",
+       "3102   Barcelona - Palau Reial        Good         Good        10.0   \n",
+       "3103  Barcelona - Observ Fabra        Good         Good         7.0   \n",
+       "\n",
+       "             Generated  Time (h)  \n",
+       "425    05/11/2018 0:00         0  \n",
+       "426    05/11/2018 0:00         0  \n",
+       "427    05/11/2018 0:00         0  \n",
+       "428    05/11/2018 0:00         0  \n",
+       "429    05/11/2018 0:00         0  \n",
+       "...                ...       ...  \n",
+       "3099  26/11/2018 23:00        22  \n",
+       "3100  26/11/2018 23:00        22  \n",
+       "3101  26/11/2018 23:00        22  \n",
+       "3102  26/11/2018 23:00        23  \n",
+       "3103  26/11/2018 23:00        22  \n",
+       "\n",
+       "[486 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 241,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Separate into one dataframe per day of the week\n",
+    "monday = pm2[pm2['Generated'].str.contains('05/11/2018|12/11/2018|19/11/2018|26/11/2018')]\n",
+    "tuesday = pm2[pm2['Generated'].str.contains('06/11/2018|13/11/2018|20/11/2018|27/11/2018')]\n",
+    "wednesday = pm2[pm2['Generated'].str.contains('07/11/2018|14/11/2018|21/11/2018|28/11/2018')]\n",
+    "thursday = pm2[pm2['Generated'].str.contains('01/11/2018|08/11/2018|15/11/2018|22/11/2018|29/11/2018')]\n",
+    "friday = pm2[pm2['Generated'].str.contains('02/11/2018|09/11/2018|16/11/2018|23/11/2018|30/11/2018')]\n",
+    "saturday = pm2[pm2['Generated'].str.contains('03/11/2018|10/11/2018|17/11/2018|24/11/2018')]\n",
+    "sunday = pm2[pm2['Generated'].str.contains('04/11/2018|11/11/2018|18/11/2018|25/11/2018')]\n",
+    "\n",
+    "monday"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 252,
+   "id": "assured-decline",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T14:12:33.048829Z",
+     "start_time": "2021-04-01T14:12:33.023555Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "#Calculating average contamination per day\n",
+    "\n",
+    "mon_mean = monday['PM10 Value'].mean()\n",
+    "tue_mean = tuesday['PM10 Value'].mean()\n",
+    "wed_mean = wednesday['PM10 Value'].mean()\n",
+    "thu_mean = thursday['PM10 Value'].mean()\n",
+    "fri_mean = friday['PM10 Value'].mean()\n",
+    "sat_mean = saturday['PM10 Value'].mean()\n",
+    "sun_mean = sunday['PM10 Value'].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 262,
+   "id": "martial-gasoline",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T14:16:13.508968Z",
+     "start_time": "2021-04-01T14:16:13.457047Z"
+    },
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>PM10 Mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Weekdays</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Monday</th>\n",
+       "      <td>16.427984</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Tuesday</th>\n",
+       "      <td>17.660338</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Wednesday</th>\n",
+       "      <td>17.319192</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Thursday</th>\n",
+       "      <td>18.869707</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Friday</th>\n",
+       "      <td>19.143590</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Saturday</th>\n",
+       "      <td>14.234818</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sunday</th>\n",
+       "      <td>11.541082</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           PM10 Mean\n",
+       "Weekdays            \n",
+       "Monday     16.427984\n",
+       "Tuesday    17.660338\n",
+       "Wednesday  17.319192\n",
+       "Thursday   18.869707\n",
+       "Friday     19.143590\n",
+       "Saturday   14.234818\n",
+       "Sunday     11.541082"
+      ]
+     },
+     "execution_count": 262,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# creating DataFrame for weekdays\n",
+    "weekdays = [['Monday', mon_mean], ['Tuesday', tue_mean], ['Wednesday', wed_mean], ['Thursday', thu_mean], ['Friday', fri_mean], ['Saturday', sat_mean], ['Sunday', sun_mean]]\n",
+    "\n",
+    "weekdf = pd.DataFrame(weekdays,columns=['Weekdays','PM10 Mean']).set_index('Weekdays')\n",
+    "weekdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 272,
+   "id": "least-level",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T15:36:21.367550Z",
+     "start_time": "2021-04-01T15:36:21.193651Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Station</th>\n",
+       "      <th>Air Quality</th>\n",
+       "      <th>PM10 Quality</th>\n",
+       "      <th>PM10 Value</th>\n",
+       "      <th>Generated</th>\n",
+       "      <th>Time (h)</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Moderate</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>36.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>32.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>25.0</td>\n",
+       "      <td>01/11/2018 0:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>35.0</td>\n",
+       "      <td>01/11/2018 1:00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>757</th>\n",
+       "      <td>Barcelona - Eixample</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>07/11/2018 23:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>758</th>\n",
+       "      <td>Barcelona - Vall Hebron</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>07/11/2018 23:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>759</th>\n",
+       "      <td>Barcelona - Palau Reial</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>07/11/2018 23:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>760</th>\n",
+       "      <td>Barcelona - Poblenou</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>07/11/2018 23:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>761</th>\n",
+       "      <td>Barcelona - Observ Fabra</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>Good</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>07/11/2018 23:00</td>\n",
+       "      <td>23</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>762 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      Station Air Quality PM10 Quality  PM10 Value  \\\n",
+       "0        Barcelona - Eixample    Moderate         Good        36.0   \n",
+       "1     Barcelona - Palau Reial        Good         Good        23.0   \n",
+       "2        Barcelona - Poblenou        Good         Good        32.0   \n",
+       "3    Barcelona - Observ Fabra        Good         Good        25.0   \n",
+       "4        Barcelona - Eixample        Good         Good        35.0   \n",
+       "..                        ...         ...          ...         ...   \n",
+       "757      Barcelona - Eixample        Good         Good        21.0   \n",
+       "758   Barcelona - Vall Hebron        Good         Good         9.0   \n",
+       "759   Barcelona - Palau Reial        Good         Good        11.0   \n",
+       "760      Barcelona - Poblenou        Good         Good        19.0   \n",
+       "761  Barcelona - Observ Fabra        Good         Good         8.0   \n",
+       "\n",
+       "            Generated  Time (h)  \n",
+       "0     01/11/2018 0:00         0  \n",
+       "1     01/11/2018 0:00        23  \n",
+       "2     01/11/2018 0:00        23  \n",
+       "3     01/11/2018 0:00        23  \n",
+       "4     01/11/2018 1:00         1  \n",
+       "..                ...       ...  \n",
+       "757  07/11/2018 23:00        23  \n",
+       "758  07/11/2018 23:00        23  \n",
+       "759  07/11/2018 23:00        23  \n",
+       "760  07/11/2018 23:00        23  \n",
+       "761  07/11/2018 23:00        23  \n",
+       "\n",
+       "[762 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 272,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Separate into one dataframe per week\n",
+    "week_1 = pm2[pm2['Generated'].str.contains('01/11/2018|02/11/2018|03/11/2018|04/11/2018|05/11/2018|06/11/2018|07/11/2018')]\n",
+    "week_2 = pm2[pm2['Generated'].str.contains('08/11/2018|09/11/2018|10/11/2018|11/11/2018|12/11/2018|13/11/2018|14/11/2018')]\n",
+    "week_3 = pm2[pm2['Generated'].str.contains('15/11/2018|16/11/2018|17/11/2018|18/11/2018|19/11/2018|20/11/2018|21/11/2018')]\n",
+    "week_4 = pm2[pm2['Generated'].str.contains('22/11/2018|23/11/2018|24/11/2018|25/11/2018|26/11/2018|27/11/2018|28/11/2018')]\n",
+    "#week_5 = pm2[pm2['Generated'].str.contains('29/11/2018|30/11/2018')]\n",
+    "week_1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 273,
+   "id": "varying-suspect",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T15:36:23.459737Z",
+     "start_time": "2021-04-01T15:36:23.429539Z"
+    }
+   },
+   "outputs": [],
+   "source": [
+    "#Calculating average contamination per day\n",
+    "\n",
+    "w1_mean = week_1['PM10 Value'].mean()\n",
+    "w2_mean = week_2['PM10 Value'].mean()\n",
+    "w3_mean = week_3['PM10 Value'].mean()\n",
+    "w4_mean = week_4['PM10 Value'].mean()\n",
+    "#w5_mean = week_5['PM10 Value'].mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 274,
+   "id": "ecological-crowd",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-04-01T15:36:24.965200Z",
+     "start_time": "2021-04-01T15:36:24.920692Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>PM10 Mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Weeks</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Week 1</th>\n",
+       "      <td>13.481627</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Week 2</th>\n",
+       "      <td>19.594096</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Week 3</th>\n",
+       "      <td>17.355828</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Week 4</th>\n",
+       "      <td>13.561404</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "        PM10 Mean\n",
+       "Weeks            \n",
+       "Week 1  13.481627\n",
+       "Week 2  19.594096\n",
+       "Week 3  17.355828\n",
+       "Week 4  13.561404"
+      ]
+     },
+     "execution_count": 274,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# creating DataFrame for weeks\n",
+    "weeks = [['Week 1', w1_mean], ['Week 2', w2_mean], ['Week 3', w3_mean], ['Week 4', w4_mean]] #['Week 5', w5_mean]]\n",
+    "\n",
+    "weeksdf = pd.DataFrame(weeks,columns=['Weeks','PM10 Mean']).set_index('Weeks')\n",
+    "weeksdf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "id": "structural-filling",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-03-31T16:56:51.294593Z",
+     "start_time": "2021-03-31T16:56:51.279977Z"
+    }
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Station                   PM10 Quality\n",
+       "Barcelona - Eixample      Good            655\n",
+       "                          Moderate         63\n",
+       "Barcelona - Gràcia        Good            211\n",
+       "Barcelona - Observ Fabra  Good            693\n",
+       "                          --               21\n",
+       "Barcelona - Palau Reial   Good            696\n",
+       "                          --               22\n",
+       "Barcelona - Poblenou      Good            667\n",
+       "                          --               32\n",
+       "                          Moderate         17\n",
+       "Barcelona - Vall Hebron   Good            645\n",
+       "Name: PM10 Quality, dtype: int64"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pm.groupby('Station')['PM10 Quality'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "electoral-slave",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2021-03-31T16:21:37.794400Z",
+     "start_time": "2021-03-31T16:21:37.672449Z"
+    },
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>count</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>std</th>\n",
+       "      <th>min</th>\n",
+       "      <th>25%</th>\n",
+       "      <th>50%</th>\n",
+       "      <th>75%</th>\n",
+       "      <th>max</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Station</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Observ Fabra</th>\n",
+       "      <td>693.0</td>\n",
+       "      <td>10.773449</td>\n",
+       "      <td>4.706629</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>25.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Vall Hebron</th>\n",
+       "      <td>645.0</td>\n",
+       "      <td>13.910078</td>\n",
+       "      <td>6.795914</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>9.0</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>32.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Palau Reial</th>\n",
+       "      <td>696.0</td>\n",
+       "      <td>14.527299</td>\n",
+       "      <td>5.583568</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>10.0</td>\n",
+       "      <td>13.0</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>29.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Gràcia</th>\n",
+       "      <td>211.0</td>\n",
+       "      <td>16.815166</td>\n",
+       "      <td>6.026841</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>12.0</td>\n",
+       "      <td>17.0</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>31.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Poblenou</th>\n",
+       "      <td>684.0</td>\n",
+       "      <td>20.540936</td>\n",
+       "      <td>7.870088</td>\n",
+       "      <td>7.0</td>\n",
+       "      <td>15.0</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>38.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Eixample</th>\n",
+       "      <td>718.0</td>\n",
+       "      <td>22.781337</td>\n",
+       "      <td>8.454874</td>\n",
+       "      <td>11.0</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>44.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Ciutadella</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Barcelona - Sants</th>\n",
+       "      <td>0.0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          count       mean       std   min   25%   50%   75%  \\\n",
+       "Station                                                                        \n",
+       "Barcelona - Observ Fabra  693.0  10.773449  4.706629   5.0   7.0   9.0  13.0   \n",
+       "Barcelona - Vall Hebron   645.0  13.910078  6.795914   2.0   9.0  12.0  18.0   \n",
+       "Barcelona - Palau Reial   696.0  14.527299  5.583568   6.0  10.0  13.0  18.0   \n",
+       "Barcelona - Gràcia        211.0  16.815166  6.026841   7.0  12.0  17.0  21.0   \n",
+       "Barcelona - Poblenou      684.0  20.540936  7.870088   7.0  15.0  19.0  27.0   \n",
+       "Barcelona - Eixample      718.0  22.781337  8.454874  11.0  16.0  22.0  29.0   \n",
+       "Barcelona - Ciutadella      0.0        NaN       NaN   NaN   NaN   NaN   NaN   \n",
+       "Barcelona - Sants           0.0        NaN       NaN   NaN   NaN   NaN   NaN   \n",
+       "\n",
+       "                           max  \n",
+       "Station                         \n",
+       "Barcelona - Observ Fabra  25.0  \n",
+       "Barcelona - Vall Hebron   32.0  \n",
+       "Barcelona - Palau Reial   29.0  \n",
+       "Barcelona - Gràcia        31.0  \n",
+       "Barcelona - Poblenou      38.0  \n",
+       "Barcelona - Eixample      44.0  \n",
+       "Barcelona - Ciutadella     NaN  \n",
+       "Barcelona - Sants          NaN  "
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pm.groupby('Station')['PM10 Value'].describe().sort_values('mean')\n",
+    "\n",
+    "#Observatori Fabra and Vall Hebron are further away from the port\n",
+    "#Quite some distance\n",
+    "#Then Palau and closely followed by Gracia\n",
+    "#Then Sants"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.8.2"
+  },
+  "latex_envs": {
+   "LaTeX_envs_menu_present": true,
+   "autoclose": false,
+   "autocomplete": true,
+   "bibliofile": "biblio.bib",
+   "cite_by": "apalike",
+   "current_citInitial": 1,
+   "eqLabelWithNumbers": true,
+   "eqNumInitial": 1,
+   "hotkeys": {
+    "equation": "Ctrl-E",
+    "itemize": "Ctrl-I"
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+   "latex_user_defs": false,
+   "report_style_numbering": false,
+   "user_envs_cfg": false
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+  "varInspector": {
+   "cols": {
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+    "lenType": 16,
+    "lenVar": 40
+   },
+   "kernels_config": {
+    "python": {
+     "delete_cmd_postfix": "",
+     "delete_cmd_prefix": "del ",
+     "library": "var_list.py",
+     "varRefreshCmd": "print(var_dic_list())"
+    },
+    "r": {
+     "delete_cmd_postfix": ") ",
+     "delete_cmd_prefix": "rm(",
+     "library": "var_list.r",
+     "varRefreshCmd": "cat(var_dic_list()) "
+    }
+   },
+   "types_to_exclude": [
+    "module",
+    "function",
+    "builtin_function_or_method",
+    "instance",
+    "_Feature"
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+   "window_display": false
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/your-project/README.md b/your-project/README.md
index 0103b93..8ba05e2 100644
--- a/your-project/README.md
+++ b/your-project/README.md
@@ -1,9 +1,10 @@
 <img src="https://bit.ly/2VnXWr2" alt="Ironhack Logo" width="100"/>
 
-# Title of My Project
-*[Your Name]*
+# Air Quality in Barcelona
+Lisa Saunders, Tsvetelina Minkova & Ignacio Rus Prados
+
+DAFT MAR2021
 
-*[Your Cohort, Campus & Date]*
 
 ## Content
 - [Project Description](#project-description)
@@ -16,28 +17,26 @@
 
 
 ## Project Description
-Write a short introduction to your project: 3-5 sentences about the context of your topic and why you chose it.
+Our project explores the Urban Environment Dataset for Barcelona, where we analyse patterns of three different pollutants: O3, NO2 and PM10.
+The research shows pollution evolution over the day, week and month. It also offers an overview of the areas within Barcelona that are most affected.
 
 ## Questions & Hypotheses
-What are the questions you would like to answer with your analysis? What did you feel were the answers to those questions before answering them with data?
+- When can we see the highest levels of pollution?
+- Which areas are most affected by pollution?
+- Are there significant changes of pollution levels during the day? And during the week?
 
 ## Dataset
-What dataset (or datasets) did you use? What is the source of your data? Provide links to the data if available and describe the data briefly.
+We used the Urban Evironment Dataset for Barcelona, which offers hourly and daily pollution levels for O3, NO2 and PM10. It covers one month of time (November, 2018)
 
-## Database
-What is the structure of your database? Have you created more than one table and if yes, how are they related to each other? Include a drawing or computer-generated image of the ERD (Entity Relationship Diagram) of your database.
 
 ## Workflow
-Outline the workflow you used in your project. What are the steps you went through?
+Our first step was to plan our timeline. After deciding on our deadlines we divided the project in tasks and investigated a series of questions that could be interesting to explore within our dataset.
 
 ## Organization
-How did you organize your work? Did you use any tools like a kanban board?
-
-What does your repository look like? Explain your folder and file structure.
+We used a Kanban board to keep track of our tasks for the project. We summarized our necessary steps in this board and had regular check ins everyday.
 
 ## Links
-Include links to your repository, slides and kanban board. Feel free to include any other links associated with your project.
 
-[Repository](https://github.com/)  
-[Slides](https://slides.com/)  
-[Trello](https://trello.com/en)  
+[Repository](https://github.com/IgnacioRus/Project-Week-2-Barcelona.git)  
+[Slides](https://docs.google.com/presentation/d/1aIBM9A2m2_DH6Keqxy7CH0daNFuNeX912AQWhAiYBwI/edit?usp=sharing)  
+[Trello](https://trello.com/invite/b/wr2ikOtw/02a590d9a44ee4d42cac1bfcbf73bbf4/barcelone-urban-environment)