Course-1/Week-2/C1_W2_Lab/C1_W2_L1_Air_Quality_Explore_Phase.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2e8e18a6",
   "metadata": {},
   "source": [
    "# Air Quality: - Explore the Data\n",
    "\n",
    "In this notebook, you will explore the Bogotá air quality data. The dataset came from the Bogotá Air Quality Monitoring Network [Red de Monitoreo de Calidad del Aire de Bogotá (RMCAB)](http://201.245.192.252:81/home/map). The steps you will complete in this notebook are the following: \n",
    "\n",
    "1. Import Python packages\n",
    "2. Load the data\n",
    "3. Count null values\n",
    "4. Plot histograms of different pollutants\n",
    "5. Make boxplots of pollutants at each measurement station\n",
    "6. Investigate scatterplots of different pollutants and look for correlation\n",
    "7. Generate simultaneous scatterplots and histograms across all pollutants\n",
    "8. Construct a correlation matrix to quantitatively look for correlation\n",
    "9. Look at measurements over time for different pollutants at different stations\n",
    "10. Visualize the data in a map representation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f8213b9",
   "metadata": {},
   "source": [
    "## 1. Import Python packages\n",
    "\n",
    "Run the next cell to import the Python packages you'll be using in this lab exercise. This is a common first step whenever working with Python. If everything goes well you should see a message when the cell has finished running that says \"All packages imported successfully!\".\n",
    "\n",
    "Note the `import utils` line. This line imports the functions that were specifically written for this lab. If you want to look at what these functions are, go to `File -> Open...` and open the `utils.py` file to have a look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7ec926b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "All packages imported successfully!\n"
     ]
    }
   ],
   "source": [
    "# Import packages\n",
    "import pandas as pd # package for reading in and manipulating data\n",
    "from datetime import datetime # package for manipulating dates\n",
    "\n",
    "import utils # utils functions defined for this lab\n",
    "\n",
    "print('All packages imported successfully!')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ade6f6a",
   "metadata": {},
   "source": [
    "## 2. Load the data\n",
    "\n",
    "Run the next cell to load the Bogotá air quality data. \n",
    "\n",
    "1. With the first line of code you are using the `pandas` package to read the csv file containing the data into a \"dataframe\" called `raw_data`. A dataframe is just a convenient format you can use for accessing and manipulating tabular data. \n",
    "2. With the second line of code you will modify the `DateTime` column for better formatting.\n",
    "3. With the third line you rename the column \"OZONO\" to \"OZONE\".\n",
    "4. With the fourth line you are just creating a list all of the pollutants for later use in this lab. \n",
    "5. With the fifth line of code you are printing out the number of rows in the dataset.\n",
    "6. With the last line you are printing the first five lines of the dataframe. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bde74e8f",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The dataset contains 166440 entries\n"
     ]
    },
    {
     "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</th>\n",
       "      <th>PM2.5</th>\n",
       "      <th>NO</th>\n",
       "      <th>NO2</th>\n",
       "      <th>NOX</th>\n",
       "      <th>CO</th>\n",
       "      <th>OZONE</th>\n",
       "      <th>Station</th>\n",
       "      <th>DateTime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>56.6</td>\n",
       "      <td>32.7</td>\n",
       "      <td>7.504</td>\n",
       "      <td>15.962</td>\n",
       "      <td>23.493</td>\n",
       "      <td>0.44924</td>\n",
       "      <td>2.431</td>\n",
       "      <td>USM</td>\n",
       "      <td>2021-01-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>59.3</td>\n",
       "      <td>39.3</td>\n",
       "      <td>16.560</td>\n",
       "      <td>17.866</td>\n",
       "      <td>34.426</td>\n",
       "      <td>0.69832</td>\n",
       "      <td>1.121</td>\n",
       "      <td>USM</td>\n",
       "      <td>2021-01-01 01:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>96.4</td>\n",
       "      <td>70.8</td>\n",
       "      <td>22.989</td>\n",
       "      <td>17.802</td>\n",
       "      <td>40.791</td>\n",
       "      <td>0.88243</td>\n",
       "      <td>1.172</td>\n",
       "      <td>USM</td>\n",
       "      <td>2021-01-01 02:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>108.3</td>\n",
       "      <td>81.0</td>\n",
       "      <td>3.704</td>\n",
       "      <td>9.886</td>\n",
       "      <td>13.591</td>\n",
       "      <td>0.29549</td>\n",
       "      <td>6.565</td>\n",
       "      <td>USM</td>\n",
       "      <td>2021-01-01 03:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>87.7</td>\n",
       "      <td>56.1</td>\n",
       "      <td>2.098</td>\n",
       "      <td>9.272</td>\n",
       "      <td>11.371</td>\n",
       "      <td>0.16621</td>\n",
       "      <td>9.513</td>\n",
       "      <td>USM</td>\n",
       "      <td>2021-01-01 04:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    PM10  PM2.5      NO     NO2     NOX       CO  OZONE Station  \\\n",
       "0   56.6   32.7   7.504  15.962  23.493  0.44924  2.431     USM   \n",
       "1   59.3   39.3  16.560  17.866  34.426  0.69832  1.121     USM   \n",
       "2   96.4   70.8  22.989  17.802  40.791  0.88243  1.172     USM   \n",
       "3  108.3   81.0   3.704   9.886  13.591  0.29549  6.565     USM   \n",
       "4   87.7   56.1   2.098   9.272  11.371  0.16621  9.513     USM   \n",
       "\n",
       "             DateTime  \n",
       "0 2021-01-01 00:00:00  \n",
       "1 2021-01-01 01:00:00  \n",
       "2 2021-01-01 02:00:00  \n",
       "3 2021-01-01 03:00:00  \n",
       "4 2021-01-01 04:00:00  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# This is a code comment! \n",
    "# Code comments always start with a \"#\" symbol\n",
    "# You'll see comments throughout the code describing what the code is doing\n",
    "\n",
    "# Read in the data\n",
    "raw_data = pd.read_csv('data/RMCAB_air_quality_sensor_data.csv')\n",
    "\n",
    "# Modify the DateTime column format\n",
    "raw_data['DateTime'] = pd.to_datetime(utils.fix_dates(raw_data, 'DateTime'), dayfirst=True)\n",
    "# Rename \"OZONO\" column from Spanish to English\n",
    "raw_data = raw_data.rename(columns={'OZONO': 'OZONE'})\n",
    "\n",
    "# List all of the pollutants that you will be working with\n",
    "pollutants_list = ['PM2.5', 'PM10',  'NO', 'NO2', 'NOX', 'CO', 'OZONE']\n",
    "\n",
    "# Print out the number of lines in the dataframe\n",
    "print(f\"The dataset contains {len(raw_data)} entries\")\n",
    "\n",
    "# Print out the first few lines in the dataframe\n",
    "raw_data.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60e687bd",
   "metadata": {},
   "source": [
    "## 3. Count null values\n",
    "\n",
    "A ***null value*** is another word for missing data values. Run the cell below to print out a count of the number of null values in each column of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "ed67b0f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PM10        20014\n",
       "PM2.5       15312\n",
       "NO          27664\n",
       "NO2         27662\n",
       "NOX         27668\n",
       "CO          31238\n",
       "OZONE       32132\n",
       "Station         0\n",
       "DateTime        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Print out a count of null values for each column in the dataset\n",
    "raw_data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7551212b",
   "metadata": {},
   "source": [
    "## 4. Plot histograms of different pollutants\n",
    "\n",
    "A histogram is a way to investigate the distribution of your data by counting up the values across a series of bins that span the range of the data. Run the next cell to plot a histogram of a particular pollutant for particular sensor station. You can use the pulldown menus to select different pollutants and different sensor stations. Have a look at how the distribution looks for a particular pollutant across different sensor stations, as well as the distributions of different pollutants. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3a479ac0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b4add19635c74d3bb78f5aa31f49f39c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='Station', options=('USM', 'BOL', 'SUB', 'TUN', 'LFR', 'PTE', 'MAM'…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Define a number of bins to use (feel free to changes this and see what happens!)\n",
    "number_of_bins=64\n",
    "\n",
    "# Generate histograms\n",
    "utils.create_histogram_plot(raw_data, number_of_bins)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fd6099e0",
   "metadata": {},
   "source": [
    "## 5. Make box plots of pollutants across all sensor stations\n",
    "\n",
    "Box plots are another way of investigating the distribution of your data. With a boxplot, your range of data values runs along the vertical axis and each \"box with whiskers\" provides you with information on where the median (middle of the box) and middle 50% (vertical range of the box) of your data lies. Outliers, or data points that lie far away from the overall pattern of the data are also plotted on the vertical axis. In this case, there’s one box plot each for every sensor station. \n",
    "\n",
    "Run the next cell to generate box plots and use the pulldown menu to look at the distributions for different pollutants. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "1d21d1a1",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6205983a33354f9693dd953a7a169a54",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='Pollutant', options=('PM2.5', 'PM10', 'NO', 'NO2', 'NOX', 'CO', 'O…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generate boxplots of pollutant values for each sensor station\n",
    "utils.create_boxplot(raw_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "410af8f6",
   "metadata": {},
   "source": [
    "## 6. Investigate scatter plots of different pollutants and look for correlation\n",
    "\n",
    "Scatterplots are useful for looking at the relationship (or lack thereof) between two variables. Run the cell below to generate scatterplots of one pollutant plotted against another. Use the pulldown menus to investigate the relationship between different pollutants. Do any of the pollutants appear to be correlated with one another? \n",
    "The colors on the plot show the concentration of the points. Areas of the plot that appear from blue to green, to red and orange show an increasing density of points. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9e70cb4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3b2d049ca4bb438784de1814007be32b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='X-Axis', options=('PM2.5', 'PM10', 'NO', 'NO2', 'NOX', 'CO', 'OZON…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Generate scatterplots of different pollutants against one another\n",
    "# Different colors show various densities of points on the plot\n",
    "utils.create_scatterplot(raw_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40eba62c",
   "metadata": {},
   "source": [
    "## 7. Generate simultaneous scatterplots and histograms across all pollutants\n",
    "\n",
    "With the visualizations above, you have been looking at the distribution of your data and the relationship between different columns in your dataset. Oftentimes, it is helpful to be able to simultaneously look at distributions and relationships, and that's what you'll see when you run the cell below. \n",
    "\n",
    "In the grid of plots you generate, you will see each of the pollutants listed along both the vertical and horizontal axes. In each cell of the grid you'll find either a histogram (where the pollutant listed on the vertical and horizontal axis is the same) or a scatterplot showing the pollutant listed on the vertical axis plotted against the one shown on the horizontal axis. This can be a nice way of quickly investigating distributions and relationships between the data columns. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7a6be64c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1260x1260 with 56 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# generate a grid of histograms and scatterplots of your data\n",
    "utils.plot_pairplot(raw_data, pollutants_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d6c766f",
   "metadata": {},
   "source": [
    "## 8. Construct a correlation matrix to quantitatively look for correlation\n",
    "You can use a correlation matrix to see how different variables correlate with each other. The [Pearson correlation coefficient](https://en.wikipedia.org/wiki/Pearson_correlation_coefficient) you'll calculate below is measured between -1 and 1. Numbers closer to 1 or -1 indicate higher levels of correlation between two variables, while values close to 0 indicate no significant correlation between two variables. You can ignore the 1's along the diagonal as those just represent the correlation of each variable with itself. Do you notice any significant correlations? How do these values compare to what you found in the scatterplots? "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "bdb0526b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# generate a correlation matrix\n",
    "utils.create_correlation_matrix(raw_data, pollutants_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "91288a21",
   "metadata": {},
   "source": [
    "## 9. Look at measurements over time for different pollutants at different stations\n",
    "\n",
    "Run the cell below to generate a plot of pollutant values over time as measured at a particular sensor station. You can use the pulldown menus to choose different stations and pollutants. You can also use the sliders to zoom in or out on a particular range of dates. It's also possible to edit the `start_date` and `end_date` values and run the code cell again to start with a different date range. Have a look across different pollutants and different stations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4d5ea61e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "14faeb26625445249ed03f4874f01446",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='Station', options=('USM', 'BOL', 'SUB', 'TUN', 'LFR', 'PTE', 'MAM'…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# define the date range to show in the plot\n",
    "start_date = datetime(2021, 1, 1)\n",
    "end_date = datetime(2021, 1, 31)\n",
    "# generate a time series plot of pollutant data for a paricular station\n",
    "utils.create_time_series_plot(raw_data, start_date, end_date)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac7e1eb3",
   "metadata": {},
   "source": [
    "## 10. Visualize the data in a map representation\n",
    "\n",
    "Run the next cell to generate a map based on the PM2.5 measurements across the city of Bogotá. Here you'll see a circle on the map at each sensor station location. Each circle is colored based on the annual average of PM2.5 measured at that location. You can click on each sensor location to see a plot of the hourly average (averaged over the whole year for each hour of the day) as well as the long-term average value and the recommended level of PM2.5. If you change where it says `hour_of_day` to `day_of_week` in the code, you'll see the daily average by day of the week in the plot when you click on each station. You can also change the pollutant to display in the map and the charts by changing the `y_variable` below. Have a look at the distribution of long-term averages by hour of day and day of the week at each station and see what you find!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8ed7d20c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
       "&lt;head&gt;    \n",
       "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
       "    \n",
       "        &lt;script&gt;\n",
       "            L_NO_TOUCH = false;\n",
       "            L_DISABLE_3D = false;\n",
       "        &lt;/script&gt;\n",
       "    \n",
       "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
       "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
       "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
       "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
       "    \n",
       "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
       "            &lt;style&gt;\n",
       "                #map_3f514756ea5dafa6bf19be7d3f98b7da {\n",
       "                    position: relative;\n",
       "                    width: 1000.0px;\n",
       "                    height: 500.0px;\n",
       "                    left: 0.0%;\n",
       "                    top: 0.0%;\n",
       "                }\n",
       "            &lt;/style&gt;\n",
       "        \n",
       "&lt;/head&gt;\n",
       "&lt;body&gt;    \n",
       "    \n",
       "            &lt;div class=&quot;folium-map&quot; id=&quot;map_3f514756ea5dafa6bf19be7d3f98b7da&quot; &gt;&lt;/div&gt;\n",
       "        \n",
       "&lt;/body&gt;\n",
       "&lt;script&gt;    \n",
       "    \n",
       "            var map_3f514756ea5dafa6bf19be7d3f98b7da = L.map(\n",
       "                &quot;map_3f514756ea5dafa6bf19be7d3f98b7da&quot;,\n",
       "                {\n",
       "                    center: [4.645194444444444, -74.06155555555556],\n",
       "                    crs: L.CRS.EPSG3857,\n",
       "                    zoom: 11,\n",
       "                    zoomControl: true,\n",
       "                    preferCanvas: false,\n",
       "                }\n",
       "            );\n",
       "\n",
       "            \n",
       "\n",
       "        \n",
       "    \n",
       "            var tile_layer_76288b0a8a02096935febeb6d84039e9 = L.tileLayer(\n",
       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
       "            ).addTo(map_3f514756ea5dafa6bf19be7d3f98b7da);\n",
       "        \n",
       "    \n",
       "            var feature_group_4668b6508ae919a1da6bd9828c0290ae = L.featureGroup(\n",
       "                {}\n",
       "            ).addTo(map_3f514756ea5dafa6bf19be7d3f98b7da);\n",
       "        \n",
       "    \n",
       "            var circle_marker_d28c1f1600a8ed28aca4b9fb67ec2663 = L.circleMarker(\n",
       "                [4.645194444444444, -74.06155555555556],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#ffed00&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_bbf503873b59f6d4d36e5cfdaa4e21d9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_be50deca18b6f26e0cf4f16f127858c2 = $(`&lt;div id=&quot;html_be50deca18b6f26e0cf4f16f127858c2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/7MA.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_bbf503873b59f6d4d36e5cfdaa4e21d9.setContent(html_be50deca18b6f26e0cf4f16f127858c2);\n",
       "        \n",
       "\n",
       "        circle_marker_d28c1f1600a8ed28aca4b9fb67ec2663.bindPopup(popup_bbf503873b59f6d4d36e5cfdaa4e21d9)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_d33d68e8d3b21d4d9c77f8782e64fd7f = L.circleMarker(\n",
       "                [4.735805555555555, -74.12588888888888],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#fff600&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_88beda16c5a49b2a02d5cebe6732e97e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_cd5e7f2b07ff177370f52bb60cd3af51 = $(`&lt;div id=&quot;html_cd5e7f2b07ff177370f52bb60cd3af51&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/BOL.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_88beda16c5a49b2a02d5cebe6732e97e.setContent(html_cd5e7f2b07ff177370f52bb60cd3af51);\n",
       "        \n",
       "\n",
       "        circle_marker_d33d68e8d3b21d4d9c77f8782e64fd7f.bindPopup(popup_88beda16c5a49b2a02d5cebe6732e97e)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_459a66c7b50b5fbdeaf75e135ece72df = L.circleMarker(\n",
       "                [4.577805555555555, -74.16627777777778],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#ffed00&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_02460a29d23ad798d775c2f4f4e6785d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_c5142413fb3bcbad4897f2da4a21f063 = $(`&lt;div id=&quot;html_c5142413fb3bcbad4897f2da4a21f063&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/CBV.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_02460a29d23ad798d775c2f4f4e6785d.setContent(html_c5142413fb3bcbad4897f2da4a21f063);\n",
       "        \n",
       "\n",
       "        circle_marker_459a66c7b50b5fbdeaf75e135ece72df.bindPopup(popup_02460a29d23ad798d775c2f4f4e6785d)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_a6c0ee01ab9b5fdb9508bdc67be00e36 = L.circleMarker(\n",
       "                [4.658466666666667, -74.08396666666667],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;yellow&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_2bba7f736aec11993395cd0fe07beb62 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_a2c138301041d332f14c3380a5482159 = $(`&lt;div id=&quot;html_a2c138301041d332f14c3380a5482159&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/CDAR.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_2bba7f736aec11993395cd0fe07beb62.setContent(html_a2c138301041d332f14c3380a5482159);\n",
       "        \n",
       "\n",
       "        circle_marker_a6c0ee01ab9b5fdb9508bdc67be00e36.bindPopup(popup_2bba7f736aec11993395cd0fe07beb62)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_f93c593ab185e8535c560a5163556c99 = L.circleMarker(\n",
       "                [4.7371944444444445, -74.06947222222222],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#7bcc00&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_8f8ee0f00484890b8f4dfc458b81d7bd = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_436a1e993bc6bfe1452fe4b79d3d402e = $(`&lt;div id=&quot;html_436a1e993bc6bfe1452fe4b79d3d402e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/COL.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_8f8ee0f00484890b8f4dfc458b81d7bd.setContent(html_436a1e993bc6bfe1452fe4b79d3d402e);\n",
       "        \n",
       "\n",
       "        circle_marker_f93c593ab185e8535c560a5163556c99.bindPopup(popup_8f8ee0f00484890b8f4dfc458b81d7bd)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_50838b989906092b9354795325850ce4 = L.circleMarker(\n",
       "                [4.595833333333333, -74.14850000000001],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;orange&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_92ee7a40d53604d71c7d92278dca7e76 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_5eca4b5cabb10fbfc16871a9da7c4fa7 = $(`&lt;div id=&quot;html_5eca4b5cabb10fbfc16871a9da7c4fa7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/CSE.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_92ee7a40d53604d71c7d92278dca7e76.setContent(html_5eca4b5cabb10fbfc16871a9da7c4fa7);\n",
       "        \n",
       "\n",
       "        circle_marker_50838b989906092b9354795325850ce4.bindPopup(popup_92ee7a40d53604d71c7d92278dca7e76)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_72b2f3872b7a0c64198b54ca1087e2c5 = L.circleMarker(\n",
       "                [4.678241666666667, -74.14381944444445],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#ffed00&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_fd56c3062d899bbd49ff47b26935ba82 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_49df8a15132530894e7543eff4c277df = $(`&lt;div id=&quot;html_49df8a15132530894e7543eff4c277df&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/FTB.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_fd56c3062d899bbd49ff47b26935ba82.setContent(html_49df8a15132530894e7543eff4c277df);\n",
       "        \n",
       "\n",
       "        circle_marker_72b2f3872b7a0c64198b54ca1087e2c5.bindPopup(popup_fd56c3062d899bbd49ff47b26935ba82)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_ec8b7b115ed00629dad57623e7e959b7 = L.circleMarker(\n",
       "                [4.7837499999999995, -74.04413888888888],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;yellow&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_559887f67e4b0889bb9408d0414ab44c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_4574c66debdb69f9aadc52182b650161 = $(`&lt;div id=&quot;html_4574c66debdb69f9aadc52182b650161&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/GYR.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_559887f67e4b0889bb9408d0414ab44c.setContent(html_4574c66debdb69f9aadc52182b650161);\n",
       "        \n",
       "\n",
       "        circle_marker_ec8b7b115ed00629dad57623e7e959b7.bindPopup(popup_559887f67e4b0889bb9408d0414ab44c)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_e1be93512f4f67ff9bfee22ace2a0b52 = L.circleMarker(\n",
       "                [4.608499999999999, -74.11494444444443],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#fff600&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_a6a23c3616817403a4fb4160aa3f2cf4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_2ab5541bdebcd3a48608adcde751e0fc = $(`&lt;div id=&quot;html_2ab5541bdebcd3a48608adcde751e0fc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/JAZ.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_a6a23c3616817403a4fb4160aa3f2cf4.setContent(html_2ab5541bdebcd3a48608adcde751e0fc);\n",
       "        \n",
       "\n",
       "        circle_marker_e1be93512f4f67ff9bfee22ace2a0b52.bindPopup(popup_a6a23c3616817403a4fb4160aa3f2cf4)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_55d6763f0ead966e9910ecfd69bc949d = L.circleMarker(\n",
       "                [4.625050000000001, -74.16133333333335],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#ffdb00&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_9060d74597c5fd518a557a2fb99ae4ce = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_c3bce4dda46d6542b988fdd4848bc618 = $(`&lt;div id=&quot;html_c3bce4dda46d6542b988fdd4848bc618&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/KEN.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_9060d74597c5fd518a557a2fb99ae4ce.setContent(html_c3bce4dda46d6542b988fdd4848bc618);\n",
       "        \n",
       "\n",
       "        circle_marker_55d6763f0ead966e9910ecfd69bc949d.bindPopup(popup_9060d74597c5fd518a557a2fb99ae4ce)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_c5b5d6947210ee7f4e6f3d616fe2166d = L.circleMarker(\n",
       "                [4.6907000000000005, -74.08248333333333],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#fff600&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_654408890a92a8c4cac00208f7d32a33 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_975f9f148ed2ded30216ecb87db39ec1 = $(`&lt;div id=&quot;html_975f9f148ed2ded30216ecb87db39ec1&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/LFR.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_654408890a92a8c4cac00208f7d32a33.setContent(html_975f9f148ed2ded30216ecb87db39ec1);\n",
       "        \n",
       "\n",
       "        circle_marker_c5b5d6947210ee7f4e6f3d616fe2166d.bindPopup(popup_654408890a92a8c4cac00208f7d32a33)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_933456928c077c7b5c4bd788369c4e04 = L.circleMarker(\n",
       "                [4.625486111111112, -74.06698055555555],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;yellow&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_5f4c559bad5e145bc1d2ce7a767336bf = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_23e526b1bb2848676aea455f1897db5f = $(`&lt;div id=&quot;html_23e526b1bb2848676aea455f1897db5f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/MAM.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_5f4c559bad5e145bc1d2ce7a767336bf.setContent(html_23e526b1bb2848676aea455f1897db5f);\n",
       "        \n",
       "\n",
       "        circle_marker_933456928c077c7b5c4bd788369c4e04.bindPopup(popup_5f4c559bad5e145bc1d2ce7a767336bf)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_d972754843c883298a62e4f6048c251b = L.circleMarker(\n",
       "                [4.668, -74.14850000000001],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#ffe400&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_8a2f02418068aa525dab7e7984d98eb6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_b76da9f584362da0f2640efe01e5380c = $(`&lt;div id=&quot;html_b76da9f584362da0f2640efe01e5380c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/MOV2.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_8a2f02418068aa525dab7e7984d98eb6.setContent(html_b76da9f584362da0f2640efe01e5380c);\n",
       "        \n",
       "\n",
       "        circle_marker_d972754843c883298a62e4f6048c251b.bindPopup(popup_8a2f02418068aa525dab7e7984d98eb6)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_7c19d4125e85bb9d529e464876e32c33 = L.circleMarker(\n",
       "                [4.6317666666666675, -74.11748333333333],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#ffdb00&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_a5744e7ff57920475be1e253f87355ca = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_cd45d967ef7b3b9deeaccb8e4b08865c = $(`&lt;div id=&quot;html_cd45d967ef7b3b9deeaccb8e4b08865c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/PTE.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_a5744e7ff57920475be1e253f87355ca.setContent(html_cd45d967ef7b3b9deeaccb8e4b08865c);\n",
       "        \n",
       "\n",
       "        circle_marker_7c19d4125e85bb9d529e464876e32c33.bindPopup(popup_a5744e7ff57920475be1e253f87355ca)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_434b27ac4af2eaab5c14bae4632b6ae3 = L.circleMarker(\n",
       "                [4.572552777777777, -74.08381388888888],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;yellow&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_4f3e12044c67a141ec1003ec3446ca90 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_aba379613d88798ced54e527c3e4441b = $(`&lt;div id=&quot;html_aba379613d88798ced54e527c3e4441b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/SCR.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_4f3e12044c67a141ec1003ec3446ca90.setContent(html_aba379613d88798ced54e527c3e4441b);\n",
       "        \n",
       "\n",
       "        circle_marker_434b27ac4af2eaab5c14bae4632b6ae3.bindPopup(popup_4f3e12044c67a141ec1003ec3446ca90)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_950d5b0a756e40eefb36090fae46a96e = L.circleMarker(\n",
       "                [4.761247222222222, -74.09346111111111],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;yellow&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_99d9bfe8db995536cbe24e9f1b574de0 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_1079027639f502f4741d1218093718f3 = $(`&lt;div id=&quot;html_1079027639f502f4741d1218093718f3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/SUB.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_99d9bfe8db995536cbe24e9f1b574de0.setContent(html_1079027639f502f4741d1218093718f3);\n",
       "        \n",
       "\n",
       "        circle_marker_950d5b0a756e40eefb36090fae46a96e.bindPopup(popup_99d9bfe8db995536cbe24e9f1b574de0)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_be9c00a798e73a5f9340fe1b24cf65fb = L.circleMarker(\n",
       "                [4.576225, -74.13095555555554],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#fff600&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_85c8b16a1ae715a1341b5732a9c067fc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_3052d5a1b1769ceb41ab5cb254902c7a = $(`&lt;div id=&quot;html_3052d5a1b1769ceb41ab5cb254902c7a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/TUN.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_85c8b16a1ae715a1341b5732a9c067fc.setContent(html_3052d5a1b1769ceb41ab5cb254902c7a);\n",
       "        \n",
       "\n",
       "        circle_marker_be9c00a798e73a5f9340fe1b24cf65fb.bindPopup(popup_85c8b16a1ae715a1341b5732a9c067fc)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_7bc615584fd646ca84c4d538af6e21c4 = L.circleMarker(\n",
       "                [4.532055555555555, -74.11713888888889],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#daf200&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_f0c186cde7ed99f077cb7eff17997aa2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_60bcd8845fd8c046646f306f3a21ac0c = $(`&lt;div id=&quot;html_60bcd8845fd8c046646f306f3a21ac0c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/USM.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_f0c186cde7ed99f077cb7eff17997aa2.setContent(html_60bcd8845fd8c046646f306f3a21ac0c);\n",
       "        \n",
       "\n",
       "        circle_marker_7bc615584fd646ca84c4d538af6e21c4.bindPopup(popup_f0c186cde7ed99f077cb7eff17997aa2)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "    \n",
       "            var circle_marker_882402df38f7b1fe2b97cf73976c7380 = L.circleMarker(\n",
       "                [4.71035, -74.03041666666667],\n",
       "                {&quot;bubblingMouseEvents&quot;: true, &quot;color&quot;: &quot;&quot;, &quot;dashArray&quot;: null, &quot;dashOffset&quot;: null, &quot;fill&quot;: true, &quot;fillColor&quot;: &quot;#daf200&quot;, &quot;fillOpacity&quot;: 0.5, &quot;fillRule&quot;: &quot;evenodd&quot;, &quot;lineCap&quot;: &quot;round&quot;, &quot;lineJoin&quot;: &quot;round&quot;, &quot;opacity&quot;: 1.0, &quot;radius&quot;: 15, &quot;stroke&quot;: true, &quot;weight&quot;: 3}\n",
       "            ).addTo(feature_group_4668b6508ae919a1da6bd9828c0290ae);\n",
       "        \n",
       "    \n",
       "        var popup_cf35d43db5146623a9d5b297befccc84 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
       "\n",
       "        \n",
       "            var html_cf619819944fddda935bdb85852d3772 = $(`&lt;div id=&quot;html_cf619819944fddda935bdb85852d3772&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;&lt;img src=&#x27;img/tmp/USQ.png&#x27;&gt;&lt;/div&gt;`)[0];\n",
       "            popup_cf35d43db5146623a9d5b297befccc84.setContent(html_cf619819944fddda935bdb85852d3772);\n",
       "        \n",
       "\n",
       "        circle_marker_882402df38f7b1fe2b97cf73976c7380.bindPopup(popup_cf35d43db5146623a9d5b297befccc84)\n",
       "        ;\n",
       "\n",
       "        \n",
       "    \n",
       "&lt;/script&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f638f950550>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# add some extra features like latitude and longitude to the data for mapping\n",
    "enriched_raw_data = utils.add_extra_features(raw_data)\n",
    "\n",
    "# choose a variable to calculate long-term averages for\n",
    "x_variable = 'hour_of_day' # Options ['day_of_week', 'hour_of_day']\n",
    "# choose a pollutant which you are interested in\n",
    "y_variable = 'PM2.5' # Options ['PM2.5', 'PM10', 'NO', 'NO2', 'NOX', 'CO', 'OZONE']\n",
    "\n",
    "# generate a map representation of the data\n",
    "utils.create_map_with_plots(enriched_raw_data, x_variable, y_variable)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "243d682d",
   "metadata": {},
   "source": [
    "## **Congratulations on finishing this lab!**\n",
    "\n",
    "**Keep up the good work :)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5d24e4c6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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