Segmenting and Clustering Neighborhoods in Toronto.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Segmenting and Clustering Neighborhoods in Toronto\n",
    "In this notebook we will first download, then clean and cluster the data of the neighborhoods in Toronto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import geocoder\n",
    "import folium\n",
    "import requests\n",
    "import json\n",
    "from pandas import json_normalize\n",
    "from geopy.geocoders import Nominatim\n",
    "from sklearn.cluster import KMeans\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleaning and preparation\n",
    "First we download the data with pandas. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park / Harbourfront</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code           Borough                Neighborhood\n",
       "0         M1A      Not assigned                         NaN\n",
       "1         M2A      Not assigned                         NaN\n",
       "2         M3A        North York                   Parkwoods\n",
       "3         M4A        North York            Victoria Village\n",
       "4         M5A  Downtown Toronto  Regent Park / Harbourfront"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = \"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\"\n",
    "df = pd.read_html(url, header=0)[0]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we drop all rows where no borough is present."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park / Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor / Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park / Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M9A</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Islington Avenue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern / Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M4B</td>\n",
       "      <td>East York</td>\n",
       "      <td>Parkview Hill / Woodbine Gardens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M6B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Glencairn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M9B</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>West Deane Park / Princess Gardens / Martin Gr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge Hill / Port Union / Highland Creek</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>M3C</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>M4C</td>\n",
       "      <td>East York</td>\n",
       "      <td>Woodbine Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>M6C</td>\n",
       "      <td>York</td>\n",
       "      <td>Humewood-Cedarvale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>M9C</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Eringate / Bloordale Gardens / Old Burnhamthor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood / Morningside / West Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>M5E</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Berczy Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>M6E</td>\n",
       "      <td>York</td>\n",
       "      <td>Caledonia-Fairbanks</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>M4G</td>\n",
       "      <td>East York</td>\n",
       "      <td>Leaside</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>M6G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Christie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>M2H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Hillcrest Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>M3H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bathurst Manor / Wilson Heights / Downsview North</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>M4H</td>\n",
       "      <td>East York</td>\n",
       "      <td>Thorncliffe Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>M5H</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Richmond / Adelaide / King</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>M6H</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Dufferin / Dovercourt Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>M2J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Fairview / Henry Farm / Oriole</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>M3J</td>\n",
       "      <td>North York</td>\n",
       "      <td>Northwood Park / York University</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>M4J</td>\n",
       "      <td>East York</td>\n",
       "      <td>East Toronto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>M5J</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront East / Union Station / Toronto Is...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>M6J</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Little Portugal / Trinity</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>M1K</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Kennedy Park / Ionview / East Birchmount Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>M2K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bayview Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>M3K</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Danforth West / Riverdale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>M5K</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Toronto Dominion Centre / Design Exchange</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>M6K</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Brockton / Parkdale Village / Exhibition Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>M1L</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Golden Mile / Clairlea / Oakridge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>M2L</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills / Silver Hills</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>M3L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>M4L</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>India Bazaar / The Beaches West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>M5L</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Commerce Court / Victoria Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>M6L</td>\n",
       "      <td>North York</td>\n",
       "      <td>North Park / Maple Leaf Park / Upwood Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>M9L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Humber Summit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>M1M</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cliffside / Cliffcrest / Scarborough Village West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>M2M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale / Newtonbrook</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>M3M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>M5M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Bedford Park / Lawrence Manor East</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>M6M</td>\n",
       "      <td>York</td>\n",
       "      <td>Del Ray / Mount Dennis / Keelsdale and Silvert...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>M9M</td>\n",
       "      <td>North York</td>\n",
       "      <td>Humberlea / Emery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>M1N</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Birch Cliff / Cliffside West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>M2N</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>M3N</td>\n",
       "      <td>North York</td>\n",
       "      <td>Downsview</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>M5N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Roselawn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>M6N</td>\n",
       "      <td>York</td>\n",
       "      <td>Runnymede / The Junction North</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>M9N</td>\n",
       "      <td>York</td>\n",
       "      <td>Weston</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>M1P</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Dorset Park / Wexford Heights / Scarborough To...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>M2P</td>\n",
       "      <td>North York</td>\n",
       "      <td>York Mills West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>M4P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville North</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>M5P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Forest Hill North &amp; West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>M6P</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>High Park / The Junction South</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>M9P</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Westmount</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>M1R</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Wexford / Maryvale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>M2R</td>\n",
       "      <td>North York</td>\n",
       "      <td>Willowdale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>M4R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>North Toronto West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>M5R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>The Annex / North Midtown / Yorkville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>M6R</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Parkdale / Roncesvalles</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>M7R</td>\n",
       "      <td>Mississauga</td>\n",
       "      <td>Canada Post Gateway Processing Centre</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>M9R</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Kingsview Village / St. Phillips / Martin Grov...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>M1S</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Agincourt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>M4S</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>M5S</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>University of Toronto / Harbord</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>M6S</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>Runnymede / Swansea</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>M1T</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Clarks Corners / Tam O'Shanter / Sullivan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>M4T</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Moore Park / Summerhill East</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>M5T</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Kensington Market / Chinatown / Grange Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>M1V</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Milliken / Agincourt North / Steeles East / L'...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>M4V</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Summerhill West / Rathnelly / South Hill / For...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower / King and Spadina / Railway Lands / ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>M8V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>New Toronto / Mimico South / Humber Bay Shores</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>M9V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>South Steeles / Silverstone / Humbergate / Jam...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>M1W</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Steeles West / L'Amoreaux West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>M4W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Rosedale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>M5W</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Stn A PO Boxes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>M8W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Alderwood / Long Branch</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>M9W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Northwest</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>M1X</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Upper Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>M4X</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town / Cabbagetown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>M5X</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>First Canadian Place / Underground city</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M8X</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>The Kingsway / Montgomery Road / Old Mill North</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M4Y</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M7Y</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business reply mail Processing CentrE</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M8Y</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Old Mill South / King's Mill Park / Sunnylea /...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Mimico NW / The Queensway West / South of Bloo...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postal code           Borough  \\\n",
       "0           M3A        North York   \n",
       "1           M4A        North York   \n",
       "2           M5A  Downtown Toronto   \n",
       "3           M6A        North York   \n",
       "4           M7A  Downtown Toronto   \n",
       "5           M9A         Etobicoke   \n",
       "6           M1B       Scarborough   \n",
       "7           M3B        North York   \n",
       "8           M4B         East York   \n",
       "9           M5B  Downtown Toronto   \n",
       "10          M6B        North York   \n",
       "11          M9B         Etobicoke   \n",
       "12          M1C       Scarborough   \n",
       "13          M3C        North York   \n",
       "14          M4C         East York   \n",
       "15          M5C  Downtown Toronto   \n",
       "16          M6C              York   \n",
       "17          M9C         Etobicoke   \n",
       "18          M1E       Scarborough   \n",
       "19          M4E      East Toronto   \n",
       "20          M5E  Downtown Toronto   \n",
       "21          M6E              York   \n",
       "22          M1G       Scarborough   \n",
       "23          M4G         East York   \n",
       "24          M5G  Downtown Toronto   \n",
       "25          M6G  Downtown Toronto   \n",
       "26          M1H       Scarborough   \n",
       "27          M2H        North York   \n",
       "28          M3H        North York   \n",
       "29          M4H         East York   \n",
       "30          M5H  Downtown Toronto   \n",
       "31          M6H      West Toronto   \n",
       "32          M1J       Scarborough   \n",
       "33          M2J        North York   \n",
       "34          M3J        North York   \n",
       "35          M4J         East York   \n",
       "36          M5J  Downtown Toronto   \n",
       "37          M6J      West Toronto   \n",
       "38          M1K       Scarborough   \n",
       "39          M2K        North York   \n",
       "40          M3K        North York   \n",
       "41          M4K      East Toronto   \n",
       "42          M5K  Downtown Toronto   \n",
       "43          M6K      West Toronto   \n",
       "44          M1L       Scarborough   \n",
       "45          M2L        North York   \n",
       "46          M3L        North York   \n",
       "47          M4L      East Toronto   \n",
       "48          M5L  Downtown Toronto   \n",
       "49          M6L        North York   \n",
       "50          M9L        North York   \n",
       "51          M1M       Scarborough   \n",
       "52          M2M        North York   \n",
       "53          M3M        North York   \n",
       "54          M4M      East Toronto   \n",
       "55          M5M        North York   \n",
       "56          M6M              York   \n",
       "57          M9M        North York   \n",
       "58          M1N       Scarborough   \n",
       "59          M2N        North York   \n",
       "60          M3N        North York   \n",
       "61          M4N   Central Toronto   \n",
       "62          M5N   Central Toronto   \n",
       "63          M6N              York   \n",
       "64          M9N              York   \n",
       "65          M1P       Scarborough   \n",
       "66          M2P        North York   \n",
       "67          M4P   Central Toronto   \n",
       "68          M5P   Central Toronto   \n",
       "69          M6P      West Toronto   \n",
       "70          M9P         Etobicoke   \n",
       "71          M1R       Scarborough   \n",
       "72          M2R        North York   \n",
       "73          M4R   Central Toronto   \n",
       "74          M5R   Central Toronto   \n",
       "75          M6R      West Toronto   \n",
       "76          M7R       Mississauga   \n",
       "77          M9R         Etobicoke   \n",
       "78          M1S       Scarborough   \n",
       "79          M4S   Central Toronto   \n",
       "80          M5S  Downtown Toronto   \n",
       "81          M6S      West Toronto   \n",
       "82          M1T       Scarborough   \n",
       "83          M4T   Central Toronto   \n",
       "84          M5T  Downtown Toronto   \n",
       "85          M1V       Scarborough   \n",
       "86          M4V   Central Toronto   \n",
       "87          M5V  Downtown Toronto   \n",
       "88          M8V         Etobicoke   \n",
       "89          M9V         Etobicoke   \n",
       "90          M1W       Scarborough   \n",
       "91          M4W  Downtown Toronto   \n",
       "92          M5W  Downtown Toronto   \n",
       "93          M8W         Etobicoke   \n",
       "94          M9W         Etobicoke   \n",
       "95          M1X       Scarborough   \n",
       "96          M4X  Downtown Toronto   \n",
       "97          M5X  Downtown Toronto   \n",
       "98          M8X         Etobicoke   \n",
       "99          M4Y  Downtown Toronto   \n",
       "100         M7Y      East Toronto   \n",
       "101         M8Y         Etobicoke   \n",
       "102         M8Z         Etobicoke   \n",
       "\n",
       "                                          Neighborhood  \n",
       "0                                            Parkwoods  \n",
       "1                                     Victoria Village  \n",
       "2                           Regent Park / Harbourfront  \n",
       "3                    Lawrence Manor / Lawrence Heights  \n",
       "4         Queen's Park / Ontario Provincial Government  \n",
       "5                                     Islington Avenue  \n",
       "6                                      Malvern / Rouge  \n",
       "7                                            Don Mills  \n",
       "8                     Parkview Hill / Woodbine Gardens  \n",
       "9                             Garden District, Ryerson  \n",
       "10                                           Glencairn  \n",
       "11   West Deane Park / Princess Gardens / Martin Gr...  \n",
       "12            Rouge Hill / Port Union / Highland Creek  \n",
       "13                                           Don Mills  \n",
       "14                                    Woodbine Heights  \n",
       "15                                      St. James Town  \n",
       "16                                  Humewood-Cedarvale  \n",
       "17   Eringate / Bloordale Gardens / Old Burnhamthor...  \n",
       "18                 Guildwood / Morningside / West Hill  \n",
       "19                                         The Beaches  \n",
       "20                                         Berczy Park  \n",
       "21                                 Caledonia-Fairbanks  \n",
       "22                                              Woburn  \n",
       "23                                             Leaside  \n",
       "24                                  Central Bay Street  \n",
       "25                                            Christie  \n",
       "26                                           Cedarbrae  \n",
       "27                                   Hillcrest Village  \n",
       "28   Bathurst Manor / Wilson Heights / Downsview North  \n",
       "29                                    Thorncliffe Park  \n",
       "30                          Richmond / Adelaide / King  \n",
       "31                       Dufferin / Dovercourt Village  \n",
       "32                                 Scarborough Village  \n",
       "33                      Fairview / Henry Farm / Oriole  \n",
       "34                    Northwood Park / York University  \n",
       "35                                        East Toronto  \n",
       "36   Harbourfront East / Union Station / Toronto Is...  \n",
       "37                           Little Portugal / Trinity  \n",
       "38       Kennedy Park / Ionview / East Birchmount Park  \n",
       "39                                     Bayview Village  \n",
       "40                                           Downsview  \n",
       "41                       The Danforth West / Riverdale  \n",
       "42           Toronto Dominion Centre / Design Exchange  \n",
       "43      Brockton / Parkdale Village / Exhibition Place  \n",
       "44                   Golden Mile / Clairlea / Oakridge  \n",
       "45                           York Mills / Silver Hills  \n",
       "46                                           Downsview  \n",
       "47                     India Bazaar / The Beaches West  \n",
       "48                     Commerce Court / Victoria Hotel  \n",
       "49          North Park / Maple Leaf Park / Upwood Park  \n",
       "50                                       Humber Summit  \n",
       "51   Cliffside / Cliffcrest / Scarborough Village West  \n",
       "52                            Willowdale / Newtonbrook  \n",
       "53                                           Downsview  \n",
       "54                                     Studio District  \n",
       "55                  Bedford Park / Lawrence Manor East  \n",
       "56   Del Ray / Mount Dennis / Keelsdale and Silvert...  \n",
       "57                                   Humberlea / Emery  \n",
       "58                        Birch Cliff / Cliffside West  \n",
       "59                                          Willowdale  \n",
       "60                                           Downsview  \n",
       "61                                       Lawrence Park  \n",
       "62                                            Roselawn  \n",
       "63                      Runnymede / The Junction North  \n",
       "64                                              Weston  \n",
       "65   Dorset Park / Wexford Heights / Scarborough To...  \n",
       "66                                     York Mills West  \n",
       "67                                    Davisville North  \n",
       "68                            Forest Hill North & West  \n",
       "69                      High Park / The Junction South  \n",
       "70                                           Westmount  \n",
       "71                                  Wexford / Maryvale  \n",
       "72                                          Willowdale  \n",
       "73                                  North Toronto West  \n",
       "74               The Annex / North Midtown / Yorkville  \n",
       "75                             Parkdale / Roncesvalles  \n",
       "76               Canada Post Gateway Processing Centre  \n",
       "77   Kingsview Village / St. Phillips / Martin Grov...  \n",
       "78                                           Agincourt  \n",
       "79                                          Davisville  \n",
       "80                     University of Toronto / Harbord  \n",
       "81                                 Runnymede / Swansea  \n",
       "82           Clarks Corners / Tam O'Shanter / Sullivan  \n",
       "83                        Moore Park / Summerhill East  \n",
       "84         Kensington Market / Chinatown / Grange Park  \n",
       "85   Milliken / Agincourt North / Steeles East / L'...  \n",
       "86   Summerhill West / Rathnelly / South Hill / For...  \n",
       "87   CN Tower / King and Spadina / Railway Lands / ...  \n",
       "88      New Toronto / Mimico South / Humber Bay Shores  \n",
       "89   South Steeles / Silverstone / Humbergate / Jam...  \n",
       "90                      Steeles West / L'Amoreaux West  \n",
       "91                                            Rosedale  \n",
       "92                                      Stn A PO Boxes  \n",
       "93                             Alderwood / Long Branch  \n",
       "94                                           Northwest  \n",
       "95                                         Upper Rouge  \n",
       "96                        St. James Town / Cabbagetown  \n",
       "97             First Canadian Place / Underground city  \n",
       "98     The Kingsway / Montgomery Road / Old Mill North  \n",
       "99                                Church and Wellesley  \n",
       "100              Business reply mail Processing CentrE  \n",
       "101  Old Mill South / King's Mill Park / Sunnylea /...  \n",
       "102  Mimico NW / The Queensway West / South of Bloo...  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean = df[df[\"Borough\"] != \"Not assigned\"]\n",
    "df_clean.reset_index(drop=True, inplace=True)\n",
    "pd.set_option('display.max_rows', None)\n",
    "df_clean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that the data is differently formatted than the assignment assumes. If a borough is in several neighborhoods, it is already in the same row. They are split by a slash though, so we change it into a comma. There are also no rows that have a borough but no neighbourhood, so we can skip this step."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-4-7955fbbbf739>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_clean['Neighborhood'] = df_clean['Neighborhood'].str.replace(' / ', ', ')\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>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code           Borough                                 Neighborhood\n",
       "0         M3A        North York                                    Parkwoods\n",
       "1         M4A        North York                             Victoria Village\n",
       "2         M5A  Downtown Toronto                    Regent Park, Harbourfront\n",
       "3         M6A        North York             Lawrence Manor, Lawrence Heights\n",
       "4         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean['Neighborhood'] = df_clean['Neighborhood'].str.replace(' / ', ', ')\n",
    "df_clean.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And last, we print the number of rows and the number of columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows: 103\n",
      "Number of columns: 3\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of rows:\",df_clean.shape[0])\n",
    "print(\"Number of columns:\",df_clean.shape[1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We create a function that gets us the coordinates given a postal code. We use the for loop recommended in the assignment to make sure that we get values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_coords(postal_code):\n",
    "    lat_lng_coords = None\n",
    "    while(lat_lng_coords is None):\n",
    "        g = geocoder.google('{}, Toronto, Ontario'.format(postal_code))\n",
    "        lat_lng_coords = g.latlng\n",
    "    latitude = lat_lng_coords[0]\n",
    "    longitude = lat_lng_coords[1]\n",
    "    return lat_lng_coords"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We get the coordinates for all postal code in a list that we then add to the dataframe in new columns. We track the progress through the length of the latitude list. This does not work well, so we use the given csv file. We replace the column name for postal code with the same case as the one from the previous dataframe to merge them later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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>Postal code</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code   Latitude  Longitude\n",
       "0         M1B  43.806686 -79.194353\n",
       "1         M1C  43.784535 -79.160497\n",
       "2         M1E  43.763573 -79.188711\n",
       "3         M1G  43.770992 -79.216917\n",
       "4         M1H  43.773136 -79.239476"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# post_list = df_clean[\"Postal code\"].to_list()\n",
    "# latitude_list = []\n",
    "# longitude_list = []\n",
    "# print(\"We have to run %s queries.\" % str(len(post_list)))\n",
    "# for p in post_list:\n",
    "#     print(\"Query %s\" % str(len(latitude_list)))\n",
    "#     coords = get_coords(p)\n",
    "#     latitude_list.append(coords[0])\n",
    "#     longitude_list.append(coords[0])\n",
    "# df_clean[\"Latitude\"] = latitude_list\n",
    "# df_clean[\"Longtitude\"] = longitude_list\n",
    "# df_clean.head()\n",
    "#!wget -q -O 'coords_list.csv' https://cocl.us/Geospatial_data\n",
    "df_coords = pd.read_csv(\"coords_list.csv\")\n",
    "df_coords.rename(columns={\"Postal Code\": \"Postal code\"}, inplace=True)\n",
    "df_coords.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we merge the two data frames on the postal code."
   ]
  },
  {
   "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>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "      <td>43.718518</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code           Borough                                 Neighborhood  \\\n",
       "0         M3A        North York                                    Parkwoods   \n",
       "1         M4A        North York                             Victoria Village   \n",
       "2         M5A  Downtown Toronto                    Regent Park, Harbourfront   \n",
       "3         M6A        North York             Lawrence Manor, Lawrence Heights   \n",
       "4         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.753259 -79.329656  \n",
       "1  43.725882 -79.315572  \n",
       "2  43.654260 -79.360636  \n",
       "3  43.718518 -79.464763  \n",
       "4  43.662301 -79.389494  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_full = pd.merge(df_clean, df_coords, on='Postal code')\n",
    "df_full.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization and analysis\n",
    "Let's first get the coordinates for Toronto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto, Ontario'\n",
    "geolocator = Nominatim(user_agent=\"toronto_loc\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And let's visiualize it with folium."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
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            var circle_marker_6fe397169c054ae5a7eccdf1a64f8b38 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_cb43262ce32645098b5be567407bd655 = L.popup({"maxWidth": "100%"});

        
            var html_3415f3175ef643878a99e9f7ad3ec806 = $(`<div id="html_3415f3175ef643878a99e9f7ad3ec806" style="width: 100.0%; height: 100.0%;">Northwest, Etobicoke</div>`)[0];
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        circle_marker_6fe397169c054ae5a7eccdf1a64f8b38.bindPopup(popup_cb43262ce32645098b5be567407bd655)
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            var circle_marker_612bd82b341743378247e207281310dc = L.circleMarker(
                [43.836124700000006, -79.20563609999999],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_126f78b8a0114ae9b7a8ba56266b3550);
        
    
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            popup_23aebf9232404ac3a280cce3ba40c7b9.setContent(html_d5f5a124643f4d02a696a2d5962e3581);
        

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            var circle_marker_b6fe1692c89b4089bc817eef894309f0 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_126f78b8a0114ae9b7a8ba56266b3550);
        
    
        var popup_143c1225bd4c47609f8438294b47f699 = L.popup({"maxWidth": "100%"});

        
            var html_136d6473a6c74cbab1aa47702afb0f4b = $(`<div id="html_136d6473a6c74cbab1aa47702afb0f4b" style="width: 100.0%; height: 100.0%;">St. James Town, Cabbagetown, Downtown Toronto</div>`)[0];
            popup_143c1225bd4c47609f8438294b47f699.setContent(html_136d6473a6c74cbab1aa47702afb0f4b);
        

        circle_marker_b6fe1692c89b4089bc817eef894309f0.bindPopup(popup_143c1225bd4c47609f8438294b47f699)
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            var circle_marker_cfeddd0e1f3240a995d04b067b62b601 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_126f78b8a0114ae9b7a8ba56266b3550);
        
    
        var popup_eabf14f4b1184ff1a175e8ea1815e511 = L.popup({"maxWidth": "100%"});

        
            var html_651fce13888d461c9de8ca6bc213561a = $(`<div id="html_651fce13888d461c9de8ca6bc213561a" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city, Downtown Toronto</div>`)[0];
            popup_eabf14f4b1184ff1a175e8ea1815e511.setContent(html_651fce13888d461c9de8ca6bc213561a);
        

        circle_marker_cfeddd0e1f3240a995d04b067b62b601.bindPopup(popup_eabf14f4b1184ff1a175e8ea1815e511)
        ;

        
    
    
            var circle_marker_d2553f011f904ba48b8ca8b641d8ab89 = L.circleMarker(
                [43.653653600000005, -79.5069436],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_126f78b8a0114ae9b7a8ba56266b3550);
        
    
        var popup_b2fa8ea9947a41eca42548063add6caf = L.popup({"maxWidth": "100%"});

        
            var html_bbfba2c2862945dbbb8361a9a654b04a = $(`<div id="html_bbfba2c2862945dbbb8361a9a654b04a" style="width: 100.0%; height: 100.0%;">The Kingsway, Montgomery Road, Old Mill North, Etobicoke</div>`)[0];
            popup_b2fa8ea9947a41eca42548063add6caf.setContent(html_bbfba2c2862945dbbb8361a9a654b04a);
        

        circle_marker_d2553f011f904ba48b8ca8b641d8ab89.bindPopup(popup_b2fa8ea9947a41eca42548063add6caf)
        ;

        
    
    
            var circle_marker_4357225ea69149e9ad7356ea3d0515d5 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_126f78b8a0114ae9b7a8ba56266b3550);
        
    
        var popup_025bf237b629468ca03304e2c63fcf52 = L.popup({"maxWidth": "100%"});

        
            var html_251a4a49773949dc863ace80e22e3c73 = $(`<div id="html_251a4a49773949dc863ace80e22e3c73" style="width: 100.0%; height: 100.0%;">Church and Wellesley, Downtown Toronto</div>`)[0];
            popup_025bf237b629468ca03304e2c63fcf52.setContent(html_251a4a49773949dc863ace80e22e3c73);
        

        circle_marker_4357225ea69149e9ad7356ea3d0515d5.bindPopup(popup_025bf237b629468ca03304e2c63fcf52)
        ;

        
    
    
            var circle_marker_2f6d69e987404bafae3a0930c8e2c4c8 = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_126f78b8a0114ae9b7a8ba56266b3550);
        
    
        var popup_6695bf60d9d044f5be36719a304acc88 = L.popup({"maxWidth": "100%"});

        
            var html_4d29ff9678a6402b9ea565752a81061f = $(`<div id="html_4d29ff9678a6402b9ea565752a81061f" style="width: 100.0%; height: 100.0%;">Business reply mail Processing CentrE, East Toronto</div>`)[0];
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        circle_marker_2f6d69e987404bafae3a0930c8e2c4c8.bindPopup(popup_6695bf60d9d044f5be36719a304acc88)
        ;

        
    
    
            var circle_marker_3507754612e44e6ca591b6bf345bfd15 = L.circleMarker(
                [43.6362579, -79.49850909999999],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_126f78b8a0114ae9b7a8ba56266b3550);
        
    
        var popup_f7fbd7fff13644e990800568e4e5637b = L.popup({"maxWidth": "100%"});

        
            var html_9ed936b665f34152963768f6ab267ab0 = $(`<div id="html_9ed936b665f34152963768f6ab267ab0" style="width: 100.0%; height: 100.0%;">Old Mill South, King&#39;s Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East, Etobicoke</div>`)[0];
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        circle_marker_3507754612e44e6ca591b6bf345bfd15.bindPopup(popup_f7fbd7fff13644e990800568e4e5637b)
        ;

        
    
    
            var circle_marker_1d6d55d543954982b71b9b2e6c5baaae = L.circleMarker(
                [43.6288408, -79.52099940000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_126f78b8a0114ae9b7a8ba56266b3550);
        
    
        var popup_4f42cd7ce38041c2952356662cff663d = L.popup({"maxWidth": "100%"});

        
            var html_87df8b28ccfa41fe977cf24c4f222dcf = $(`<div id="html_87df8b28ccfa41fe977cf24c4f222dcf" style="width: 100.0%; height: 100.0%;">Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West, Etobicoke</div>`)[0];
            popup_4f42cd7ce38041c2952356662cff663d.setContent(html_87df8b28ccfa41fe977cf24c4f222dcf);
        

        circle_marker_1d6d55d543954982b71b9b2e6c5baaae.bindPopup(popup_4f42cd7ce38041c2952356662cff663d)
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x201b775bb50>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "for lat, lng, borough, neighborhood in zip(df_full['Latitude'], df_full['Longitude'], df_full['Borough'], df_full['Neighborhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the following analysis we proceed similar to the ungraded exercise and select neighborhoods containing the word Toronto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
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       "  Postal code           Borough                                 Neighborhood  \\\n",
       "0         M5A  Downtown Toronto                    Regent Park, Harbourfront   \n",
       "1         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government   \n",
       "2         M5B  Downtown Toronto                     Garden District, Ryerson   \n",
       "3         M5C  Downtown Toronto                               St. James Town   \n",
       "4         M4E      East Toronto                                  The Beaches   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.654260 -79.360636  \n",
       "1  43.662301 -79.389494  \n",
       "2  43.657162 -79.378937  \n",
       "3  43.651494 -79.375418  \n",
       "4  43.676357 -79.293031  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "central_data = df_full[df_full['Borough'].str.contains('Toronto')].reset_index(drop=True)\n",
    "central_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First the coordinates of Central Toronto to center the view."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Central Toronto are 43.6449033, -79.3818364.\n"
     ]
    }
   ],
   "source": [
    "address = 'Central Toronto, Ontario'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"toronto_loc\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Central Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And the map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
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            var html_4615c11e8fa24f5cabd334e1d2357fa4 = $(`<div id="html_4615c11e8fa24f5cabd334e1d2357fa4" style="width: 100.0%; height: 100.0%;">Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park</div>`)[0];
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        ;

        
    
    
            var circle_marker_1bb3923835334358bcee8a595ecd3fd5 = L.circleMarker(
                [43.6289467, -79.3944199],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_89cf6a491f9942e881ae3a0d68d9d470 = L.popup({"maxWidth": "100%"});

        
            var html_eb4b1f4e8b3241e0bc49e31fdf4bf6c5 = $(`<div id="html_eb4b1f4e8b3241e0bc49e31fdf4bf6c5" style="width: 100.0%; height: 100.0%;">CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst  Quay, South Niagara, Island airport</div>`)[0];
            popup_89cf6a491f9942e881ae3a0d68d9d470.setContent(html_eb4b1f4e8b3241e0bc49e31fdf4bf6c5);
        

        circle_marker_1bb3923835334358bcee8a595ecd3fd5.bindPopup(popup_89cf6a491f9942e881ae3a0d68d9d470)
        ;

        
    
    
            var circle_marker_bf08506202fd4615bf4d8bedeac22abf = L.circleMarker(
                [43.6795626, -79.37752940000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_5ac844474f6f4d4b9bcd29d5896d18ed = L.popup({"maxWidth": "100%"});

        
            var html_a96bdba451f64189a04c2f74ffb33fd8 = $(`<div id="html_a96bdba451f64189a04c2f74ffb33fd8" style="width: 100.0%; height: 100.0%;">Rosedale</div>`)[0];
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        circle_marker_bf08506202fd4615bf4d8bedeac22abf.bindPopup(popup_5ac844474f6f4d4b9bcd29d5896d18ed)
        ;

        
    
    
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                [43.6464352, -79.37484599999999],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_ad78ed88035a4540b7fff5a423ffd058 = L.popup({"maxWidth": "100%"});

        
            var html_780a792952af49c7906a1bbf8875ddf5 = $(`<div id="html_780a792952af49c7906a1bbf8875ddf5" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes</div>`)[0];
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        circle_marker_aacffe9e6b1c41dcbc0a5f8014c53147.bindPopup(popup_ad78ed88035a4540b7fff5a423ffd058)
        ;

        
    
    
            var circle_marker_5347941d9d444184bc9a726b2fc99549 = L.circleMarker(
                [43.667967, -79.3676753],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_c7e1e1ca76d6426a88129aaf985696fc);
        
    
        var popup_a17047ca04474aa0981abd3cfe92068e = L.popup({"maxWidth": "100%"});

        
            var html_0383fdb400424b96a95e04c90ae8b3a7 = $(`<div id="html_0383fdb400424b96a95e04c90ae8b3a7" style="width: 100.0%; height: 100.0%;">St. James Town, Cabbagetown</div>`)[0];
            popup_a17047ca04474aa0981abd3cfe92068e.setContent(html_0383fdb400424b96a95e04c90ae8b3a7);
        

        circle_marker_5347941d9d444184bc9a726b2fc99549.bindPopup(popup_a17047ca04474aa0981abd3cfe92068e)
        ;

        
    
    
            var circle_marker_9dfdf0e1ffe64a499277137372a3813a = L.circleMarker(
                [43.6484292, -79.3822802],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_c7e1e1ca76d6426a88129aaf985696fc);
        
    
        var popup_d981c2b2822d43398f4d3695b74c47c8 = L.popup({"maxWidth": "100%"});

        
            var html_4753b70643844950a015121558ef26b6 = $(`<div id="html_4753b70643844950a015121558ef26b6" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city</div>`)[0];
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        circle_marker_9dfdf0e1ffe64a499277137372a3813a.bindPopup(popup_d981c2b2822d43398f4d3695b74c47c8)
        ;

        
    
    
            var circle_marker_361121fc2a21498d9d1671dd27e75d35 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_c7e1e1ca76d6426a88129aaf985696fc);
        
    
        var popup_35c1291a97d94787bf257d80a8be8725 = L.popup({"maxWidth": "100%"});

        
            var html_9b8f160c0d454a479cba6219abf9f018 = $(`<div id="html_9b8f160c0d454a479cba6219abf9f018" style="width: 100.0%; height: 100.0%;">Church and Wellesley</div>`)[0];
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        ;

        
    
    
            var circle_marker_de118dd8fe094d1a8dbb3619bf03bc9f = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_c7e1e1ca76d6426a88129aaf985696fc);
        
    
        var popup_0c9aec6ddb40411a951fb9fd69b5378e = L.popup({"maxWidth": "100%"});

        
            var html_d50844c4ccb44e33bae0e3bbe0b7b5f0 = $(`<div id="html_d50844c4ccb44e33bae0e3bbe0b7b5f0" style="width: 100.0%; height: 100.0%;">Business reply mail Processing CentrE</div>`)[0];
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        circle_marker_de118dd8fe094d1a8dbb3619bf03bc9f.bindPopup(popup_0c9aec6ddb40411a951fb9fd69b5378e)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x201b787cc40>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_central = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "for lat, lng, label in zip(central_data['Latitude'], central_data['Longitude'], central_data['Neighborhood']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_central)  \n",
    "    \n",
    "map_central"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the client ID and secret from a file and use the same API version as in the exercises."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID = open('client_id','r').read()\n",
    "CLIENT_SECRET = open('client_secret','r').read()\n",
    "VERSION = '20180605'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We test out the analysis with the first neighborhood in our dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Regent Park, Harbourfront'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "central_data.loc[0, 'Neighborhood']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Regent Park, Harbourfront are 43.6542599, -79.3606359.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = central_data.loc[0, 'Latitude'] \n",
    "neighborhood_longitude = central_data.loc[0, 'Longitude']\n",
    "\n",
    "neighborhood_name = central_data.loc[0, 'Neighborhood']\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Lets form and send the request."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5e88acb47828ae001b6a6412'},\n",
       " 'response': {'suggestedFilters': {'header': 'Tap to show:',\n",
       "   'filters': [{'name': 'Open now', 'key': 'openNow'}]},\n",
       "  'headerLocation': 'Corktown',\n",
       "  'headerFullLocation': 'Corktown, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 45,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.6587599045, 'lng': -79.3544279001486},\n",
       "   'sw': {'lat': 43.6497598955, 'lng': -79.36684389985142}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '54ea41ad498e9a11e9e13308',\n",
       "       'name': 'Roselle Desserts',\n",
       "       'location': {'address': '362 King St E',\n",
       "        'crossStreet': 'Trinity St',\n",
       "        'lat': 43.653446723052674,\n",
       "        'lng': -79.3620167174383,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.653446723052674,\n",
       "          'lng': -79.3620167174383}],\n",
       "        'distance': 143,\n",
       "        'postalCode': 'M5A 1K9',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['362 King St E (Trinity St)',\n",
       "         'Toronto ON M5A 1K9',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d16a941735',\n",
       "         'name': 'Bakery',\n",
       "         'pluralName': 'Bakeries',\n",
       "         'shortName': 'Bakery',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/bakery_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-54ea41ad498e9a11e9e13308-0'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '53b8466a498e83df908c3f21',\n",
       "       'name': 'Tandem Coffee',\n",
       "       'location': {'address': '368 King St E',\n",
       "        'crossStreet': 'at Trinity St',\n",
       "        'lat': 43.65355870959944,\n",
       "        'lng': -79.36180945913513,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65355870959944,\n",
       "          'lng': -79.36180945913513}],\n",
       "        'distance': 122,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['368 King St E (at Trinity St)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1e0931735',\n",
       "         'name': 'Coffee Shop',\n",
       "         'pluralName': 'Coffee Shops',\n",
       "         'shortName': 'Coffee Shop',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-53b8466a498e83df908c3f21-1'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '574c229e498ebb5c6b257902',\n",
       "       'name': 'Cooper Koo Family YMCA',\n",
       "       'location': {'address': '461 Cherry St',\n",
       "        'lat': 43.65324910177244,\n",
       "        'lng': -79.35800826343677,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65324910177244,\n",
       "          'lng': -79.35800826343677}],\n",
       "        'distance': 239,\n",
       "        'postalCode': 'M5A 0H7',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['461 Cherry St', 'Toronto ON M5A 0H7', 'Canada']},\n",
       "       'categories': [{'id': '52e81612bcbc57f1066b7a37',\n",
       "         'name': 'Distribution Center',\n",
       "         'pluralName': 'Distribution Centers',\n",
       "         'shortName': 'Distributor',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/default_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-574c229e498ebb5c6b257902-2'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '50760559e4b0e8c7babe2497',\n",
       "       'name': 'Body Blitz Spa East',\n",
       "       'location': {'address': '497 King Street East',\n",
       "        'crossStreet': 'btwn Sackville St and Sumach St',\n",
       "        'lat': 43.65473505045365,\n",
       "        'lng': -79.35987433132891,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65473505045365,\n",
       "          'lng': -79.35987433132891}],\n",
       "        'distance': 80,\n",
       "        'postalCode': 'M5A 1L9',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['497 King Street East (btwn Sackville St and Sumach St)',\n",
       "         'Toronto ON M5A 1L9',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1ed941735',\n",
       "         'name': 'Spa',\n",
       "         'pluralName': 'Spas',\n",
       "         'shortName': 'Spa',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/spa_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-50760559e4b0e8c7babe2497-3'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ae5b91ff964a520a6a121e3',\n",
       "       'name': 'Morning Glory Cafe',\n",
       "       'location': {'address': '457 King St. E',\n",
       "        'crossStreet': 'Gilead Place',\n",
       "        'lat': 43.653946942635294,\n",
       "        'lng': -79.36114884214422,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.653946942635294,\n",
       "          'lng': -79.36114884214422}],\n",
       "        'distance': 54,\n",
       "        'postalCode': 'M5A 1L6',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['457 King St. E (Gilead Place)',\n",
       "         'Toronto ON M5A 1L6',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d143941735',\n",
       "         'name': 'Breakfast Spot',\n",
       "         'pluralName': 'Breakfast Spots',\n",
       "         'shortName': 'Breakfast',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/breakfast_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []},\n",
       "       'venuePage': {'id': '39686393'}},\n",
       "      'referralId': 'e-0-4ae5b91ff964a520a6a121e3-4'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '5612b1cc498e3dd742af0dc8',\n",
       "       'name': 'Impact Kitchen',\n",
       "       'location': {'address': '573 King St E',\n",
       "        'crossStreet': 'at St Lawrence St',\n",
       "        'lat': 43.65636850543279,\n",
       "        'lng': -79.35697968750694,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65636850543279,\n",
       "          'lng': -79.35697968750694}],\n",
       "        'distance': 376,\n",
       "        'postalCode': 'M5A 4L3',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['573 King St E (at St Lawrence St)',\n",
       "         'Toronto ON M5A 4L3',\n",
       "         'Canada']},\n",
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       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-51828372e4b0ea1bac906b00-33'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4bb52a8bf562ef3b7d992e97',\n",
       "       'name': 'Soulpepper Theatre',\n",
       "       'location': {'address': '55 Mill St',\n",
       "        'lat': 43.65078003430492,\n",
       "        'lng': -79.35761534068922,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65078003430492,\n",
       "          'lng': -79.35761534068922}],\n",
       "        'distance': 457,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['55 Mill St', 'Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d137941735',\n",
       "         'name': 'Theater',\n",
       "         'pluralName': 'Theaters',\n",
       "         'shortName': 'Theater',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/arts_entertainment/performingarts_theater_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4bb52a8bf562ef3b7d992e97-34'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '59d00b871ffe9715e465071c',\n",
       "       'name': 'The Abnormal Beauty Company',\n",
       "       'location': {'address': '18 Distillery Lane',\n",
       "        'lat': 43.649892147380996,\n",
       "        'lng': -79.3610051085219,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.649892147380996,\n",
       "          'lng': -79.3610051085219}],\n",
       "        'distance': 487,\n",
       "        'postalCode': 'M5A 3C4',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['18 Distillery Lane',\n",
       "         'Toronto ON M5A 3C4',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d10c951735',\n",
       "         'name': 'Cosmetics Shop',\n",
       "         'pluralName': 'Cosmetics Shops',\n",
       "         'shortName': 'Cosmetics',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/beauty_cosmetic_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-59d00b871ffe9715e465071c-35'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '5b7ccd5e1f8ed6002c9bd7d0',\n",
       "       'name': 'The Aviary',\n",
       "       'location': {'lat': 43.65363394725125,\n",
       "        'lng': -79.35466212072043,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65363394725125,\n",
       "          'lng': -79.35466212072043}],\n",
       "        'distance': 486,\n",
       "        'postalCode': 'M5A 1H7',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Toronto ON M5A 1H7', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d11b941735',\n",
       "         'name': 'Pub',\n",
       "         'pluralName': 'Pubs',\n",
       "         'shortName': 'Pub',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/pub_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-5b7ccd5e1f8ed6002c9bd7d0-36'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ad8d551f964a5201f1521e3',\n",
       "       'name': 'Vistek',\n",
       "       'location': {'address': '496 Queen St E',\n",
       "        'crossStreet': 'at Sumach',\n",
       "        'lat': 43.65704640025721,\n",
       "        'lng': -79.35966695607046,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65704640025721,\n",
       "          'lng': -79.35966695607046}],\n",
       "        'distance': 319,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['496 Queen St E (at Sumach)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d122951735',\n",
       "         'name': 'Electronics Store',\n",
       "         'pluralName': 'Electronics Stores',\n",
       "         'shortName': 'Electronics',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/technology_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4ad8d551f964a5201f1521e3-37'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4d126fd3d1848cfad5cfbb71',\n",
       "       'name': 'TD Canada Trust',\n",
       "       'location': {'address': '457 Front Street East',\n",
       "        'lat': 43.652779762702764,\n",
       "        'lng': -79.3563362625656,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.652779762702764,\n",
       "          'lng': -79.3563362625656}],\n",
       "        'distance': 383,\n",
       "        'postalCode': 'M5A 0J2',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['457 Front Street East',\n",
       "         'Toronto ON M5A 0J2',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d10a951735',\n",
       "         'name': 'Bank',\n",
       "         'pluralName': 'Banks',\n",
       "         'shortName': 'Bank',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/financial_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4d126fd3d1848cfad5cfbb71-38'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b8acdfdf964a520378232e3',\n",
       "       'name': 'The Beer Store',\n",
       "       'location': {'address': '28 River Street',\n",
       "        'crossStreet': 'Queen St E',\n",
       "        'lat': 43.657773,\n",
       "        'lng': -79.3574632,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.657773,\n",
       "          'lng': -79.3574632}],\n",
       "        'distance': 467,\n",
       "        'postalCode': 'M5A 3N9',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['28 River Street (Queen St E)',\n",
       "         'Toronto ON M5A 3N9',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '5370f356bcbc57f1066c94c2',\n",
       "         'name': 'Beer Store',\n",
       "         'pluralName': 'Beer Stores',\n",
       "         'shortName': 'Beer Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/beergarden_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b8acdfdf964a520378232e3-39'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b2cf78cf964a52077cb24e3',\n",
       "       'name': 'Savoury Grounds',\n",
       "       'location': {'address': '481 Queen St. East',\n",
       "        'crossStreet': 'Sumach St',\n",
       "        'lat': 43.656820970004496,\n",
       "        'lng': -79.3589698353747,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.656820970004496,\n",
       "          'lng': -79.3589698353747}],\n",
       "        'distance': 315,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['481 Queen St. East (Sumach St)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1e0931735',\n",
       "         'name': 'Coffee Shop',\n",
       "         'pluralName': 'Coffee Shops',\n",
       "         'shortName': 'Coffee Shop',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b2cf78cf964a52077cb24e3-40'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '51c085d3498eadedb67ba6cd',\n",
       "       'name': 'Flame Shack',\n",
       "       'location': {'address': '506 Queen St E',\n",
       "        'crossStreet': 'Sumach St',\n",
       "        'lat': 43.656844075440546,\n",
       "        'lng': -79.35891727496157,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.656844075440546,\n",
       "          'lng': -79.35891727496157}],\n",
       "        'distance': 319,\n",
       "        'postalCode': 'M5A 1V2',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['506 Queen St E (Sumach St)',\n",
       "         'Toronto ON M5A 1V2',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1c4941735',\n",
       "         'name': 'Restaurant',\n",
       "         'pluralName': 'Restaurants',\n",
       "         'shortName': 'Restaurant',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/default_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-51c085d3498eadedb67ba6cd-41'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '593b5fbea35dce738ebbb4ec',\n",
       "       'name': 'Residence & Conference Centre',\n",
       "       'location': {'address': '80 Cooperage',\n",
       "        'crossStreet': 'Front Street',\n",
       "        'lat': 43.65304,\n",
       "        'lng': -79.35704,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65304,\n",
       "          'lng': -79.35704}],\n",
       "        'distance': 319,\n",
       "        'postalCode': 'M5A 1G9',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['80 Cooperage (Front Street)',\n",
       "         'Toronto ON M5A 1G9',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1fa931735',\n",
       "         'name': 'Hotel',\n",
       "         'pluralName': 'Hotels',\n",
       "         'shortName': 'Hotel',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/hotel_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-593b5fbea35dce738ebbb4ec-42'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '5292543a498ec4d4c99c0c64',\n",
       "       'name': 'The Healthy Road',\n",
       "       'location': {'address': '518 King Street East',\n",
       "        'crossStreet': 'Sumach',\n",
       "        'lat': 43.656264585886454,\n",
       "        'lng': -79.35711882680904,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.656264585886454,\n",
       "          'lng': -79.35711882680904}],\n",
       "        'distance': 360,\n",
       "        'postalCode': 'M5A 1M1',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['518 King Street East (Sumach)',\n",
       "         'Toronto ON M5A 1M1',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '50aa9e744b90af0d42d5de0e',\n",
       "         'name': 'Health Food Store',\n",
       "         'pluralName': 'Health Food Stores',\n",
       "         'shortName': 'Health Food Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/food_grocery_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-5292543a498ec4d4c99c0c64-43'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '579cc5f2498e0fe8397deebb',\n",
       "       'name': 'GW General',\n",
       "       'location': {'lat': 43.650495,\n",
       "        'lng': -79.357538,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.650495,\n",
       "          'lng': -79.357538}],\n",
       "        'distance': 487,\n",
       "        'cc': 'CA',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d116951735',\n",
       "         'name': 'Antique Shop',\n",
       "         'pluralName': 'Antique Shops',\n",
       "         'shortName': 'Antiques',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/antique_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-579cc5f2498e0fe8397deebb-44'}]}]}}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LIMIT = 100 \n",
    "radius = 500\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "    CLIENT_ID, \n",
    "    CLIENT_SECRET, \n",
    "    VERSION, \n",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)\n",
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We use the same function to parse the venues."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We clean and prepare the venue data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Roselle Desserts</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>43.653447</td>\n",
       "      <td>-79.362017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Tandem Coffee</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>43.653559</td>\n",
       "      <td>-79.361809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cooper Koo Family YMCA</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>43.653249</td>\n",
       "      <td>-79.358008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Body Blitz Spa East</td>\n",
       "      <td>Spa</td>\n",
       "      <td>43.654735</td>\n",
       "      <td>-79.359874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Morning Glory Cafe</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>43.653947</td>\n",
       "      <td>-79.361149</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     name           categories        lat        lng\n",
       "0        Roselle Desserts               Bakery  43.653447 -79.362017\n",
       "1           Tandem Coffee          Coffee Shop  43.653559 -79.361809\n",
       "2  Cooper Koo Family YMCA  Distribution Center  43.653249 -79.358008\n",
       "3     Body Blitz Spa East                  Spa  43.654735 -79.359874\n",
       "4      Morning Glory Cafe       Breakfast Spot  43.653947 -79.361149"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues = results['response']['groups'][0]['items']    \n",
    "nearby_venues = json_normalize(venues)\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And check for the total amount of returned venues."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "45 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can use the function out of the exercise to collect the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):    \n",
    "    venues_list=[]\n",
    "    LIMIT = 100\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)            \n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Regent Park, Harbourfront\n",
      "Queen's Park, Ontario Provincial Government\n",
      "Garden District, Ryerson\n",
      "St. James Town\n",
      "The Beaches\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Christie\n",
      "Richmond, Adelaide, King\n",
      "Dufferin, Dovercourt Village\n",
      "Harbourfront East, Union Station, Toronto Islands\n",
      "Little Portugal, Trinity\n",
      "The Danforth West, Riverdale\n",
      "Toronto Dominion Centre, Design Exchange\n",
      "Brockton, Parkdale Village, Exhibition Place\n",
      "India Bazaar, The Beaches West\n",
      "Commerce Court, Victoria Hotel\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Roselawn\n",
      "Davisville North\n",
      "Forest Hill North & West\n",
      "High Park, The Junction South\n",
      "North Toronto West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Parkdale, Roncesvalles\n",
      "Davisville\n",
      "University of Toronto, Harbord\n",
      "Runnymede, Swansea\n",
      "Moore Park, Summerhill East\n",
      "Kensington Market, Chinatown, Grange Park\n",
      "Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\n",
      "CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst  Quay, South Niagara, Island airport\n",
      "Rosedale\n",
      "Stn A PO Boxes\n",
      "St. James Town, Cabbagetown\n",
      "First Canadian Place, Underground city\n",
      "Church and Wellesley\n",
      "Business reply mail Processing CentrE\n"
     ]
    }
   ],
   "source": [
    "toronto_venues = getNearbyVenues(names=central_data['Neighborhood'],\n",
    "                                   latitudes=central_data['Latitude'],\n",
    "                                   longitudes=central_data['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check for the shape and the head of the dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1681, 7)\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>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Roselle Desserts</td>\n",
       "      <td>43.653447</td>\n",
       "      <td>-79.362017</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Tandem Coffee</td>\n",
       "      <td>43.653559</td>\n",
       "      <td>-79.361809</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Cooper Koo Family YMCA</td>\n",
       "      <td>43.653249</td>\n",
       "      <td>-79.358008</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Body Blitz Spa East</td>\n",
       "      <td>43.654735</td>\n",
       "      <td>-79.359874</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Morning Glory Cafe</td>\n",
       "      <td>43.653947</td>\n",
       "      <td>-79.361149</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0  Regent Park, Harbourfront               43.65426              -79.360636   \n",
       "1  Regent Park, Harbourfront               43.65426              -79.360636   \n",
       "2  Regent Park, Harbourfront               43.65426              -79.360636   \n",
       "3  Regent Park, Harbourfront               43.65426              -79.360636   \n",
       "4  Regent Park, Harbourfront               43.65426              -79.360636   \n",
       "\n",
       "                    Venue  Venue Latitude  Venue Longitude  \\\n",
       "0        Roselle Desserts       43.653447       -79.362017   \n",
       "1           Tandem Coffee       43.653559       -79.361809   \n",
       "2  Cooper Koo Family YMCA       43.653249       -79.358008   \n",
       "3     Body Blitz Spa East       43.654735       -79.359874   \n",
       "4      Morning Glory Cafe       43.653947       -79.361149   \n",
       "\n",
       "        Venue Category  \n",
       "0               Bakery  \n",
       "1          Coffee Shop  \n",
       "2  Distribution Center  \n",
       "3                  Spa  \n",
       "4       Breakfast Spot  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(toronto_venues.shape)\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check the venues per neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</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>Berczy Park</th>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brockton, Parkdale Village, Exhibition Place</th>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Business reply mail Processing CentrE</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst  Quay, South Niagara, Island airport</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bay Street</th>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christie</th>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Church and Wellesley</th>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Commerce Court, Victoria Hotel</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville</th>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville North</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dufferin, Dovercourt Village</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>First Canadian Place, Underground city</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forest Hill North &amp; West</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garden District, Ryerson</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbourfront East, Union Station, Toronto Islands</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High Park, The Junction South</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India Bazaar, The Beaches West</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kensington Market, Chinatown, Grange Park</th>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lawrence Park</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Portugal, Trinity</th>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moore Park, Summerhill East</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Toronto West</th>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parkdale, Roncesvalles</th>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queen's Park, Ontario Provincial Government</th>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Regent Park, Harbourfront</th>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Richmond, Adelaide, King</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosedale</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roselawn</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Runnymede, Swansea</th>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. James Town</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. James Town, Cabbagetown</th>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stn A PO Boxes</th>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio District</th>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park</th>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Annex, North Midtown, Yorkville</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Beaches</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Danforth West, Riverdale</th>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toronto Dominion Centre, Design Exchange</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University of Toronto, Harbord</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Berczy Park                                                            55   \n",
       "Brockton, Parkdale Village, Exhibition Place                           22   \n",
       "Business reply mail Processing CentrE                                  16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...                     16   \n",
       "Central Bay Street                                                     77   \n",
       "Christie                                                               19   \n",
       "Church and Wellesley                                                   79   \n",
       "Commerce Court, Victoria Hotel                                        100   \n",
       "Davisville                                                             36   \n",
       "Davisville North                                                        8   \n",
       "Dufferin, Dovercourt Village                                           16   \n",
       "First Canadian Place, Underground city                                100   \n",
       "Forest Hill North & West                                                4   \n",
       "Garden District, Ryerson                                              100   \n",
       "Harbourfront East, Union Station, Toronto Islands                     100   \n",
       "High Park, The Junction South                                          24   \n",
       "India Bazaar, The Beaches West                                         21   \n",
       "Kensington Market, Chinatown, Grange Park                              76   \n",
       "Lawrence Park                                                           4   \n",
       "Little Portugal, Trinity                                               50   \n",
       "Moore Park, Summerhill East                                             2   \n",
       "North Toronto West                                                     17   \n",
       "Parkdale, Roncesvalles                                                 13   \n",
       "Queen's Park, Ontario Provincial Government                            32   \n",
       "Regent Park, Harbourfront                                              45   \n",
       "Richmond, Adelaide, King                                              100   \n",
       "Rosedale                                                                4   \n",
       "Roselawn                                                                3   \n",
       "Runnymede, Swansea                                                     40   \n",
       "St. James Town                                                        100   \n",
       "St. James Town, Cabbagetown                                            47   \n",
       "Stn A PO Boxes                                                         95   \n",
       "Studio District                                                        42   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...                     15   \n",
       "The Annex, North Midtown, Yorkville                                    21   \n",
       "The Beaches                                                             5   \n",
       "The Danforth West, Riverdale                                           42   \n",
       "Toronto Dominion Centre, Design Exchange                              100   \n",
       "University of Toronto, Harbord                                         35   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Berczy Park                                                             55   \n",
       "Brockton, Parkdale Village, Exhibition Place                            22   \n",
       "Business reply mail Processing CentrE                                   16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...                      16   \n",
       "Central Bay Street                                                      77   \n",
       "Christie                                                                19   \n",
       "Church and Wellesley                                                    79   \n",
       "Commerce Court, Victoria Hotel                                         100   \n",
       "Davisville                                                              36   \n",
       "Davisville North                                                         8   \n",
       "Dufferin, Dovercourt Village                                            16   \n",
       "First Canadian Place, Underground city                                 100   \n",
       "Forest Hill North & West                                                 4   \n",
       "Garden District, Ryerson                                               100   \n",
       "Harbourfront East, Union Station, Toronto Islands                      100   \n",
       "High Park, The Junction South                                           24   \n",
       "India Bazaar, The Beaches West                                          21   \n",
       "Kensington Market, Chinatown, Grange Park                               76   \n",
       "Lawrence Park                                                            4   \n",
       "Little Portugal, Trinity                                                50   \n",
       "Moore Park, Summerhill East                                              2   \n",
       "North Toronto West                                                      17   \n",
       "Parkdale, Roncesvalles                                                  13   \n",
       "Queen's Park, Ontario Provincial Government                             32   \n",
       "Regent Park, Harbourfront                                               45   \n",
       "Richmond, Adelaide, King                                               100   \n",
       "Rosedale                                                                 4   \n",
       "Roselawn                                                                 3   \n",
       "Runnymede, Swansea                                                      40   \n",
       "St. James Town                                                         100   \n",
       "St. James Town, Cabbagetown                                             47   \n",
       "Stn A PO Boxes                                                          95   \n",
       "Studio District                                                         42   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...                      15   \n",
       "The Annex, North Midtown, Yorkville                                     21   \n",
       "The Beaches                                                              5   \n",
       "The Danforth West, Riverdale                                            42   \n",
       "Toronto Dominion Centre, Design Exchange                               100   \n",
       "University of Toronto, Harbord                                          35   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Berczy Park                                            55              55   \n",
       "Brockton, Parkdale Village, Exhibition Place           22              22   \n",
       "Business reply mail Processing CentrE                  16              16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...     16              16   \n",
       "Central Bay Street                                     77              77   \n",
       "Christie                                               19              19   \n",
       "Church and Wellesley                                   79              79   \n",
       "Commerce Court, Victoria Hotel                        100             100   \n",
       "Davisville                                             36              36   \n",
       "Davisville North                                        8               8   \n",
       "Dufferin, Dovercourt Village                           16              16   \n",
       "First Canadian Place, Underground city                100             100   \n",
       "Forest Hill North & West                                4               4   \n",
       "Garden District, Ryerson                              100             100   \n",
       "Harbourfront East, Union Station, Toronto Islands     100             100   \n",
       "High Park, The Junction South                          24              24   \n",
       "India Bazaar, The Beaches West                         21              21   \n",
       "Kensington Market, Chinatown, Grange Park              76              76   \n",
       "Lawrence Park                                           4               4   \n",
       "Little Portugal, Trinity                               50              50   \n",
       "Moore Park, Summerhill East                             2               2   \n",
       "North Toronto West                                     17              17   \n",
       "Parkdale, Roncesvalles                                 13              13   \n",
       "Queen's Park, Ontario Provincial Government            32              32   \n",
       "Regent Park, Harbourfront                              45              45   \n",
       "Richmond, Adelaide, King                              100             100   \n",
       "Rosedale                                                4               4   \n",
       "Roselawn                                                3               3   \n",
       "Runnymede, Swansea                                     40              40   \n",
       "St. James Town                                        100             100   \n",
       "St. James Town, Cabbagetown                            47              47   \n",
       "Stn A PO Boxes                                         95              95   \n",
       "Studio District                                        42              42   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...     15              15   \n",
       "The Annex, North Midtown, Yorkville                    21              21   \n",
       "The Beaches                                             5               5   \n",
       "The Danforth West, Riverdale                           42              42   \n",
       "Toronto Dominion Centre, Design Exchange              100             100   \n",
       "University of Toronto, Harbord                         35              35   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Berczy Park                                                      55   \n",
       "Brockton, Parkdale Village, Exhibition Place                     22   \n",
       "Business reply mail Processing CentrE                            16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...               16   \n",
       "Central Bay Street                                               77   \n",
       "Christie                                                         19   \n",
       "Church and Wellesley                                             79   \n",
       "Commerce Court, Victoria Hotel                                  100   \n",
       "Davisville                                                       36   \n",
       "Davisville North                                                  8   \n",
       "Dufferin, Dovercourt Village                                     16   \n",
       "First Canadian Place, Underground city                          100   \n",
       "Forest Hill North & West                                          4   \n",
       "Garden District, Ryerson                                        100   \n",
       "Harbourfront East, Union Station, Toronto Islands               100   \n",
       "High Park, The Junction South                                    24   \n",
       "India Bazaar, The Beaches West                                   21   \n",
       "Kensington Market, Chinatown, Grange Park                        76   \n",
       "Lawrence Park                                                     4   \n",
       "Little Portugal, Trinity                                         50   \n",
       "Moore Park, Summerhill East                                       2   \n",
       "North Toronto West                                               17   \n",
       "Parkdale, Roncesvalles                                           13   \n",
       "Queen's Park, Ontario Provincial Government                      32   \n",
       "Regent Park, Harbourfront                                        45   \n",
       "Richmond, Adelaide, King                                        100   \n",
       "Rosedale                                                          4   \n",
       "Roselawn                                                          3   \n",
       "Runnymede, Swansea                                               40   \n",
       "St. James Town                                                  100   \n",
       "St. James Town, Cabbagetown                                      47   \n",
       "Stn A PO Boxes                                                   95   \n",
       "Studio District                                                  42   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...               15   \n",
       "The Annex, North Midtown, Yorkville                              21   \n",
       "The Beaches                                                       5   \n",
       "The Danforth West, Riverdale                                     42   \n",
       "Toronto Dominion Centre, Design Exchange                        100   \n",
       "University of Toronto, Harbord                                   35   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Berczy Park                                                     55  \n",
       "Brockton, Parkdale Village, Exhibition Place                    22  \n",
       "Business reply mail Processing CentrE                           16  \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...              16  \n",
       "Central Bay Street                                              77  \n",
       "Christie                                                        19  \n",
       "Church and Wellesley                                            79  \n",
       "Commerce Court, Victoria Hotel                                 100  \n",
       "Davisville                                                      36  \n",
       "Davisville North                                                 8  \n",
       "Dufferin, Dovercourt Village                                    16  \n",
       "First Canadian Place, Underground city                         100  \n",
       "Forest Hill North & West                                         4  \n",
       "Garden District, Ryerson                                       100  \n",
       "Harbourfront East, Union Station, Toronto Islands              100  \n",
       "High Park, The Junction South                                   24  \n",
       "India Bazaar, The Beaches West                                  21  \n",
       "Kensington Market, Chinatown, Grange Park                       76  \n",
       "Lawrence Park                                                    4  \n",
       "Little Portugal, Trinity                                        50  \n",
       "Moore Park, Summerhill East                                      2  \n",
       "North Toronto West                                              17  \n",
       "Parkdale, Roncesvalles                                          13  \n",
       "Queen's Park, Ontario Provincial Government                     32  \n",
       "Regent Park, Harbourfront                                       45  \n",
       "Richmond, Adelaide, King                                       100  \n",
       "Rosedale                                                         4  \n",
       "Roselawn                                                         3  \n",
       "Runnymede, Swansea                                              40  \n",
       "St. James Town                                                 100  \n",
       "St. James Town, Cabbagetown                                     47  \n",
       "Stn A PO Boxes                                                  95  \n",
       "Studio District                                                 42  \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...              15  \n",
       "The Annex, North Midtown, Yorkville                             21  \n",
       "The Beaches                                                      5  \n",
       "The Danforth West, Riverdale                                    42  \n",
       "Toronto Dominion Centre, Design Exchange                       100  \n",
       "University of Toronto, Harbord                                  35  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check for unique venues."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 235 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And let's onehot encode it according to unique venues."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>...</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 235 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Yoga Studio  Afghan Restaurant  Airport  Airport Food Court  Airport Gate  \\\n",
       "0            0                  0        0                   0             0   \n",
       "1            0                  0        0                   0             0   \n",
       "2            0                  0        0                   0             0   \n",
       "3            0                  0        0                   0             0   \n",
       "4            0                  0        0                   0             0   \n",
       "\n",
       "   Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0               0                0                 0                    0   \n",
       "1               0                0                 0                    0   \n",
       "2               0                0                 0                    0   \n",
       "3               0                0                 0                    0   \n",
       "4               0                0                 0                    0   \n",
       "\n",
       "   Antique Shop  ...  Theme Restaurant  Thrift / Vintage Store  \\\n",
       "0             0  ...                 0                       0   \n",
       "1             0  ...                 0                       0   \n",
       "2             0  ...                 0                       0   \n",
       "3             0  ...                 0                       0   \n",
       "4             0  ...                 0                       0   \n",
       "\n",
       "   Toy / Game Store  Trail  Train Station  Vegetarian / Vegan Restaurant  \\\n",
       "0                 0      0              0                              0   \n",
       "1                 0      0              0                              0   \n",
       "2                 0      0              0                              0   \n",
       "3                 0      0              0                              0   \n",
       "4                 0      0              0                              0   \n",
       "\n",
       "   Video Game Store  Vietnamese Restaurant  Wine Bar  Women's Store  \n",
       "0                 0                      0         0              0  \n",
       "1                 0                      0         0              0  \n",
       "2                 0                      0         0              0  \n",
       "3                 0                      0         0              0  \n",
       "4                 0                      0         0              0  \n",
       "\n",
       "[5 rows x 235 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "toronto_onehot['Neighborhood'] = toronto_venues['Neighborhood'] \n",
    "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check the shape again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1681, 235)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check the mean value for each venue and neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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>Neighborhood</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Business reply mail Processing CentrE</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.012987</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.012987</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.012987</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012987</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Christie</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.025316</td>\n",
       "      <td>0.012658</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.012658</td>\n",
       "      <td>...</td>\n",
       "      <td>0.012658</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Davisville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.027778</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.027778</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Davisville North</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Dufferin, Dovercourt Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Forest Hill North &amp; West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Harbourfront East, Union Station, Toronto Islands</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kensington Market, Chinatown, Grange Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.039474</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.013158</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0.022222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Richmond, Adelaide, King</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.021277</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Stn A PO Boxes</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.010526</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010526</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Studio District</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.02381</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Summerhill West, Rathnelly, South Hill, Forest...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.20000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.02381</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>University of Toronto, Harbord</td>\n",
       "      <td>0.028571</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.028571</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>39 rows × 235 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Yoga Studio  \\\n",
       "0                                         Berczy Park     0.000000   \n",
       "1        Brockton, Parkdale Village, Exhibition Place     0.000000   \n",
       "2               Business reply mail Processing CentrE     0.062500   \n",
       "3   CN Tower, King and Spadina, Railway Lands, Har...     0.000000   \n",
       "4                                  Central Bay Street     0.012987   \n",
       "5                                            Christie     0.000000   \n",
       "6                                Church and Wellesley     0.025316   \n",
       "7                      Commerce Court, Victoria Hotel     0.000000   \n",
       "8                                          Davisville     0.000000   \n",
       "9                                    Davisville North     0.000000   \n",
       "10                       Dufferin, Dovercourt Village     0.000000   \n",
       "11             First Canadian Place, Underground city     0.000000   \n",
       "12                           Forest Hill North & West     0.000000   \n",
       "13                           Garden District, Ryerson     0.000000   \n",
       "14  Harbourfront East, Union Station, Toronto Islands     0.000000   \n",
       "15                      High Park, The Junction South     0.000000   \n",
       "16                     India Bazaar, The Beaches West     0.000000   \n",
       "17          Kensington Market, Chinatown, Grange Park     0.000000   \n",
       "18                                      Lawrence Park     0.000000   \n",
       "19                           Little Portugal, Trinity     0.020000   \n",
       "20                        Moore Park, Summerhill East     0.000000   \n",
       "21                                 North Toronto West     0.058824   \n",
       "22                             Parkdale, Roncesvalles     0.000000   \n",
       "23        Queen's Park, Ontario Provincial Government     0.031250   \n",
       "24                          Regent Park, Harbourfront     0.022222   \n",
       "25                           Richmond, Adelaide, King     0.000000   \n",
       "26                                           Rosedale     0.000000   \n",
       "27                                           Roselawn     0.000000   \n",
       "28                                 Runnymede, Swansea     0.025000   \n",
       "29                                     St. James Town     0.000000   \n",
       "30                        St. James Town, Cabbagetown     0.000000   \n",
       "31                                     Stn A PO Boxes     0.000000   \n",
       "32                                    Studio District     0.023810   \n",
       "33  Summerhill West, Rathnelly, South Hill, Forest...     0.000000   \n",
       "34                The Annex, North Midtown, Yorkville     0.000000   \n",
       "35                                        The Beaches     0.000000   \n",
       "36                       The Danforth West, Riverdale     0.023810   \n",
       "37           Toronto Dominion Centre, Design Exchange     0.000000   \n",
       "38                     University of Toronto, Harbord     0.028571   \n",
       "\n",
       "    Afghan Restaurant  Airport  Airport Food Court  Airport Gate  \\\n",
       "0            0.000000   0.0000              0.0000        0.0000   \n",
       "1            0.000000   0.0000              0.0000        0.0000   \n",
       "2            0.000000   0.0000              0.0000        0.0000   \n",
       "3            0.000000   0.0625              0.0625        0.0625   \n",
       "4            0.000000   0.0000              0.0000        0.0000   \n",
       "5            0.000000   0.0000              0.0000        0.0000   \n",
       "6            0.012658   0.0000              0.0000        0.0000   \n",
       "7            0.000000   0.0000              0.0000        0.0000   \n",
       "8            0.000000   0.0000              0.0000        0.0000   \n",
       "9            0.000000   0.0000              0.0000        0.0000   \n",
       "10           0.000000   0.0000              0.0000        0.0000   \n",
       "11           0.000000   0.0000              0.0000        0.0000   \n",
       "12           0.000000   0.0000              0.0000        0.0000   \n",
       "13           0.000000   0.0000              0.0000        0.0000   \n",
       "14           0.000000   0.0000              0.0000        0.0000   \n",
       "15           0.000000   0.0000              0.0000        0.0000   \n",
       "16           0.000000   0.0000              0.0000        0.0000   \n",
       "17           0.000000   0.0000              0.0000        0.0000   \n",
       "18           0.000000   0.0000              0.0000        0.0000   \n",
       "19           0.000000   0.0000              0.0000        0.0000   \n",
       "20           0.000000   0.0000              0.0000        0.0000   \n",
       "21           0.000000   0.0000              0.0000        0.0000   \n",
       "22           0.000000   0.0000              0.0000        0.0000   \n",
       "23           0.000000   0.0000              0.0000        0.0000   \n",
       "24           0.000000   0.0000              0.0000        0.0000   \n",
       "25           0.000000   0.0000              0.0000        0.0000   \n",
       "26           0.000000   0.0000              0.0000        0.0000   \n",
       "27           0.000000   0.0000              0.0000        0.0000   \n",
       "28           0.000000   0.0000              0.0000        0.0000   \n",
       "29           0.000000   0.0000              0.0000        0.0000   \n",
       "30           0.000000   0.0000              0.0000        0.0000   \n",
       "31           0.000000   0.0000              0.0000        0.0000   \n",
       "32           0.000000   0.0000              0.0000        0.0000   \n",
       "33           0.000000   0.0000              0.0000        0.0000   \n",
       "34           0.000000   0.0000              0.0000        0.0000   \n",
       "35           0.000000   0.0000              0.0000        0.0000   \n",
       "36           0.000000   0.0000              0.0000        0.0000   \n",
       "37           0.000000   0.0000              0.0000        0.0000   \n",
       "38           0.000000   0.0000              0.0000        0.0000   \n",
       "\n",
       "    Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0            0.000            0.000             0.000             0.000000   \n",
       "1            0.000            0.000             0.000             0.000000   \n",
       "2            0.000            0.000             0.000             0.000000   \n",
       "3            0.125            0.125             0.125             0.000000   \n",
       "4            0.000            0.000             0.000             0.012987   \n",
       "5            0.000            0.000             0.000             0.000000   \n",
       "6            0.000            0.000             0.000             0.012658   \n",
       "7            0.000            0.000             0.000             0.040000   \n",
       "8            0.000            0.000             0.000             0.027778   \n",
       "9            0.000            0.000             0.000             0.000000   \n",
       "10           0.000            0.000             0.000             0.000000   \n",
       "11           0.000            0.000             0.000             0.030000   \n",
       "12           0.000            0.000             0.000             0.000000   \n",
       "13           0.000            0.000             0.000             0.010000   \n",
       "14           0.000            0.000             0.000             0.000000   \n",
       "15           0.000            0.000             0.000             0.000000   \n",
       "16           0.000            0.000             0.000             0.000000   \n",
       "17           0.000            0.000             0.000             0.000000   \n",
       "18           0.000            0.000             0.000             0.000000   \n",
       "19           0.000            0.000             0.000             0.000000   \n",
       "20           0.000            0.000             0.000             0.000000   \n",
       "21           0.000            0.000             0.000             0.000000   \n",
       "22           0.000            0.000             0.000             0.000000   \n",
       "23           0.000            0.000             0.000             0.000000   \n",
       "24           0.000            0.000             0.000             0.000000   \n",
       "25           0.000            0.000             0.000             0.020000   \n",
       "26           0.000            0.000             0.000             0.000000   \n",
       "27           0.000            0.000             0.000             0.000000   \n",
       "28           0.000            0.000             0.000             0.000000   \n",
       "29           0.000            0.000             0.000             0.030000   \n",
       "30           0.000            0.000             0.000             0.021277   \n",
       "31           0.000            0.000             0.000             0.010526   \n",
       "32           0.000            0.000             0.000             0.047619   \n",
       "33           0.000            0.000             0.000             0.066667   \n",
       "34           0.000            0.000             0.000             0.047619   \n",
       "35           0.000            0.000             0.000             0.000000   \n",
       "36           0.000            0.000             0.000             0.000000   \n",
       "37           0.000            0.000             0.000             0.030000   \n",
       "38           0.000            0.000             0.000             0.000000   \n",
       "\n",
       "    ...  Theme Restaurant  Thrift / Vintage Store  Toy / Game Store    Trail  \\\n",
       "0   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "1   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "2   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "3   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "4   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "5   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "6   ...          0.012658                 0.00000          0.000000  0.00000   \n",
       "7   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "8   ...          0.000000                 0.00000          0.027778  0.00000   \n",
       "9   ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "10  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "11  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "12  ...          0.000000                 0.00000          0.000000  0.25000   \n",
       "13  ...          0.000000                 0.00000          0.010000  0.00000   \n",
       "14  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "15  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "16  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "17  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "18  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "19  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "20  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "21  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "22  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "23  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "24  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "25  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "26  ...          0.000000                 0.00000          0.000000  0.25000   \n",
       "27  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "28  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "29  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "30  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "31  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "32  ...          0.000000                 0.02381          0.000000  0.00000   \n",
       "33  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "34  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "35  ...          0.000000                 0.00000          0.000000  0.20000   \n",
       "36  ...          0.000000                 0.00000          0.000000  0.02381   \n",
       "37  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "38  ...          0.000000                 0.00000          0.000000  0.00000   \n",
       "\n",
       "    Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0            0.00                       0.018182          0.000000   \n",
       "1            0.00                       0.000000          0.000000   \n",
       "2            0.00                       0.000000          0.000000   \n",
       "3            0.00                       0.000000          0.000000   \n",
       "4            0.00                       0.012987          0.000000   \n",
       "5            0.00                       0.000000          0.000000   \n",
       "6            0.00                       0.000000          0.000000   \n",
       "7            0.00                       0.020000          0.000000   \n",
       "8            0.00                       0.000000          0.000000   \n",
       "9            0.00                       0.000000          0.000000   \n",
       "10           0.00                       0.000000          0.000000   \n",
       "11           0.01                       0.010000          0.000000   \n",
       "12           0.00                       0.000000          0.000000   \n",
       "13           0.00                       0.000000          0.010000   \n",
       "14           0.01                       0.010000          0.000000   \n",
       "15           0.00                       0.000000          0.000000   \n",
       "16           0.00                       0.000000          0.000000   \n",
       "17           0.00                       0.039474          0.000000   \n",
       "18           0.00                       0.000000          0.000000   \n",
       "19           0.00                       0.000000          0.000000   \n",
       "20           0.00                       0.000000          0.000000   \n",
       "21           0.00                       0.000000          0.000000   \n",
       "22           0.00                       0.000000          0.000000   \n",
       "23           0.00                       0.031250          0.000000   \n",
       "24           0.00                       0.000000          0.000000   \n",
       "25           0.00                       0.020000          0.000000   \n",
       "26           0.00                       0.000000          0.000000   \n",
       "27           0.00                       0.000000          0.000000   \n",
       "28           0.00                       0.025000          0.000000   \n",
       "29           0.00                       0.010000          0.000000   \n",
       "30           0.00                       0.000000          0.000000   \n",
       "31           0.00                       0.010526          0.000000   \n",
       "32           0.00                       0.000000          0.000000   \n",
       "33           0.00                       0.000000          0.000000   \n",
       "34           0.00                       0.047619          0.000000   \n",
       "35           0.00                       0.000000          0.000000   \n",
       "36           0.00                       0.000000          0.000000   \n",
       "37           0.01                       0.010000          0.000000   \n",
       "38           0.00                       0.000000          0.028571   \n",
       "\n",
       "    Vietnamese Restaurant  Wine Bar  Women's Store  \n",
       "0                0.000000  0.000000           0.00  \n",
       "1                0.000000  0.000000           0.00  \n",
       "2                0.000000  0.000000           0.00  \n",
       "3                0.000000  0.000000           0.00  \n",
       "4                0.000000  0.012987           0.00  \n",
       "5                0.000000  0.000000           0.00  \n",
       "6                0.000000  0.000000           0.00  \n",
       "7                0.000000  0.010000           0.00  \n",
       "8                0.000000  0.000000           0.00  \n",
       "9                0.000000  0.000000           0.00  \n",
       "10               0.000000  0.000000           0.00  \n",
       "11               0.000000  0.010000           0.00  \n",
       "12               0.000000  0.000000           0.00  \n",
       "13               0.010000  0.010000           0.00  \n",
       "14               0.000000  0.010000           0.00  \n",
       "15               0.000000  0.000000           0.00  \n",
       "16               0.000000  0.000000           0.00  \n",
       "17               0.052632  0.013158           0.00  \n",
       "18               0.000000  0.000000           0.00  \n",
       "19               0.040000  0.020000           0.00  \n",
       "20               0.000000  0.000000           0.00  \n",
       "21               0.000000  0.000000           0.00  \n",
       "22               0.000000  0.000000           0.00  \n",
       "23               0.000000  0.000000           0.00  \n",
       "24               0.000000  0.000000           0.00  \n",
       "25               0.000000  0.000000           0.01  \n",
       "26               0.000000  0.000000           0.00  \n",
       "27               0.000000  0.000000           0.00  \n",
       "28               0.000000  0.000000           0.00  \n",
       "29               0.000000  0.010000           0.00  \n",
       "30               0.000000  0.000000           0.00  \n",
       "31               0.000000  0.000000           0.00  \n",
       "32               0.000000  0.023810           0.00  \n",
       "33               0.066667  0.000000           0.00  \n",
       "34               0.000000  0.000000           0.00  \n",
       "35               0.000000  0.000000           0.00  \n",
       "36               0.000000  0.000000           0.00  \n",
       "37               0.000000  0.010000           0.00  \n",
       "38               0.000000  0.000000           0.00  \n",
       "\n",
       "[39 rows x 235 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "toronto_grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And the shape of that grouped dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39, 235)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's print the top 5 venues for each neighborhood to get an overview."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Berczy Park----\n",
      "          venue  freq\n",
      "0   Coffee Shop  0.09\n",
      "1  Cocktail Bar  0.05\n",
      "2    Restaurant  0.04\n",
      "3          Café  0.04\n",
      "4        Bakery  0.04\n",
      "\n",
      "\n",
      "----Brockton, Parkdale Village, Exhibition Place----\n",
      "                venue  freq\n",
      "0                Café  0.14\n",
      "1         Coffee Shop  0.09\n",
      "2      Breakfast Spot  0.09\n",
      "3                 Gym  0.05\n",
      "4  Italian Restaurant  0.05\n",
      "\n",
      "\n",
      "----Business reply mail Processing CentrE----\n",
      "           venue  freq\n",
      "0    Yoga Studio  0.06\n",
      "1  Auto Workshop  0.06\n",
      "2           Park  0.06\n",
      "3     Comic Shop  0.06\n",
      "4    Pizza Place  0.06\n",
      "\n",
      "\n",
      "----CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst  Quay, South Niagara, Island airport----\n",
      "              venue  freq\n",
      "0    Airport Lounge  0.12\n",
      "1   Airport Service  0.12\n",
      "2  Airport Terminal  0.12\n",
      "3       Coffee Shop  0.06\n",
      "4  Sculpture Garden  0.06\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.18\n",
      "1   Italian Restaurant  0.05\n",
      "2       Sandwich Place  0.04\n",
      "3         Burger Joint  0.04\n",
      "4  Japanese Restaurant  0.04\n",
      "\n",
      "\n",
      "----Christie----\n",
      "           venue  freq\n",
      "0  Grocery Store  0.21\n",
      "1           Café  0.16\n",
      "2           Park  0.11\n",
      "3    Coffee Shop  0.11\n",
      "4     Baby Store  0.05\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.06\n",
      "1  Japanese Restaurant  0.06\n",
      "2              Gay Bar  0.05\n",
      "3           Restaurant  0.04\n",
      "4     Sushi Restaurant  0.04\n",
      "\n",
      "\n",
      "----Commerce Court, Victoria Hotel----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.12\n",
      "1           Restaurant  0.07\n",
      "2                 Café  0.07\n",
      "3                Hotel  0.05\n",
      "4  American Restaurant  0.04\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "            venue  freq\n",
      "0    Dessert Shop  0.08\n",
      "1  Sandwich Place  0.08\n",
      "2     Pizza Place  0.08\n",
      "3             Gym  0.06\n",
      "4            Café  0.06\n",
      "\n",
      "\n",
      "----Davisville North----\n",
      "               venue  freq\n",
      "0                Gym  0.12\n",
      "1              Hotel  0.12\n",
      "2  Convenience Store  0.12\n",
      "3   Department Store  0.12\n",
      "4     Sandwich Place  0.12\n",
      "\n",
      "\n",
      "----Dufferin, Dovercourt Village----\n",
      "         venue  freq\n",
      "0     Pharmacy  0.12\n",
      "1       Bakery  0.12\n",
      "2  Art Gallery  0.06\n",
      "3         Pool  0.06\n",
      "4          Bar  0.06\n",
      "\n",
      "\n",
      "----First Canadian Place, Underground city----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.12\n",
      "1         Café  0.07\n",
      "2   Restaurant  0.06\n",
      "3          Gym  0.03\n",
      "4        Hotel  0.03\n",
      "\n",
      "\n",
      "----Forest Hill North & West----\n",
      "                        venue  freq\n",
      "0                        Park  0.25\n",
      "1               Jewelry Store  0.25\n",
      "2                       Trail  0.25\n",
      "3            Sushi Restaurant  0.25\n",
      "4  Modern European Restaurant  0.00\n",
      "\n",
      "\n",
      "----Garden District, Ryerson----\n",
      "                 venue  freq\n",
      "0       Clothing Store  0.08\n",
      "1          Coffee Shop  0.08\n",
      "2       Cosmetics Shop  0.03\n",
      "3  Japanese Restaurant  0.03\n",
      "4                 Café  0.03\n",
      "\n",
      "\n",
      "----Harbourfront East, Union Station, Toronto Islands----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.12\n",
      "1            Aquarium  0.05\n",
      "2                Café  0.04\n",
      "3  Italian Restaurant  0.04\n",
      "4               Hotel  0.04\n",
      "\n",
      "\n",
      "----High Park, The Junction South----\n",
      "                venue  freq\n",
      "0  Mexican Restaurant  0.08\n",
      "1                Café  0.08\n",
      "2                 Bar  0.08\n",
      "3     Thai Restaurant  0.08\n",
      "4           Speakeasy  0.04\n",
      "\n",
      "\n",
      "----India Bazaar, The Beaches West----\n",
      "            venue  freq\n",
      "0  Sandwich Place  0.10\n",
      "1             Gym  0.05\n",
      "2            Park  0.05\n",
      "3         Brewery  0.05\n",
      "4   Burrito Place  0.05\n",
      "\n",
      "\n",
      "----Kensington Market, Chinatown, Grange Park----\n",
      "                   venue  freq\n",
      "0                   Café  0.07\n",
      "1            Coffee Shop  0.05\n",
      "2                    Bar  0.05\n",
      "3  Vietnamese Restaurant  0.05\n",
      "4     Mexican Restaurant  0.04\n",
      "\n",
      "\n",
      "----Lawrence Park----\n",
      "         venue  freq\n",
      "0       Lawyer  0.25\n",
      "1  Swim School  0.25\n",
      "2     Bus Line  0.25\n",
      "3         Park  0.25\n",
      "4  Opera House  0.00\n",
      "\n",
      "\n",
      "----Little Portugal, Trinity----\n",
      "              venue  freq\n",
      "0               Bar  0.12\n",
      "1       Coffee Shop  0.06\n",
      "2  Asian Restaurant  0.06\n",
      "3        Restaurant  0.04\n",
      "4       Men's Store  0.04\n",
      "\n",
      "\n",
      "----Moore Park, Summerhill East----\n",
      "                venue  freq\n",
      "0          Playground   0.5\n",
      "1         Summer Camp   0.5\n",
      "2         Yoga Studio   0.0\n",
      "3  Miscellaneous Shop   0.0\n",
      "4      Lingerie Store   0.0\n",
      "\n",
      "\n",
      "----North Toronto West----\n",
      "            venue  freq\n",
      "0  Clothing Store  0.12\n",
      "1     Coffee Shop  0.12\n",
      "2     Yoga Studio  0.06\n",
      "3           Diner  0.06\n",
      "4             Spa  0.06\n",
      "\n",
      "\n",
      "----Parkdale, Roncesvalles----\n",
      "                         venue  freq\n",
      "0                    Gift Shop  0.15\n",
      "1                    Bookstore  0.08\n",
      "2  Eastern European Restaurant  0.08\n",
      "3                          Bar  0.08\n",
      "4                   Restaurant  0.08\n",
      "\n",
      "\n",
      "----Queen's Park, Ontario Provincial Government----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.25\n",
      "1          Yoga Studio  0.03\n",
      "2  Distribution Center  0.03\n",
      "3         Burger Joint  0.03\n",
      "4        Burrito Place  0.03\n",
      "\n",
      "\n",
      "----Regent Park, Harbourfront----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.16\n",
      "1          Bakery  0.07\n",
      "2             Pub  0.07\n",
      "3            Park  0.07\n",
      "4  Breakfast Spot  0.04\n",
      "\n",
      "\n",
      "----Richmond, Adelaide, King----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.06\n",
      "1   Restaurant  0.06\n",
      "2         Café  0.06\n",
      "3        Hotel  0.03\n",
      "4          Bar  0.03\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "                             venue  freq\n",
      "0                             Park  0.50\n",
      "1                       Playground  0.25\n",
      "2                            Trail  0.25\n",
      "3  Molecular Gastronomy Restaurant  0.00\n",
      "4                     Liquor Store  0.00\n",
      "\n",
      "\n",
      "----Roselawn----\n",
      "                             venue  freq\n",
      "0                     Home Service  0.33\n",
      "1                             Pool  0.33\n",
      "2                           Garden  0.33\n",
      "3                      Yoga Studio  0.00\n",
      "4  Molecular Gastronomy Restaurant  0.00\n",
      "\n",
      "\n",
      "----Runnymede, Swansea----\n",
      "              venue  freq\n",
      "0              Café  0.08\n",
      "1       Coffee Shop  0.08\n",
      "2       Pizza Place  0.08\n",
      "3  Sushi Restaurant  0.05\n",
      "4        Restaurant  0.05\n",
      "\n",
      "\n",
      "----St. James Town----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.08\n",
      "1                 Café  0.05\n",
      "2           Restaurant  0.04\n",
      "3            Gastropub  0.03\n",
      "4  American Restaurant  0.03\n",
      "\n",
      "\n",
      "----St. James Town, Cabbagetown----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.09\n",
      "1  Italian Restaurant  0.04\n",
      "2                Park  0.04\n",
      "3         Pizza Place  0.04\n",
      "4              Bakery  0.04\n",
      "\n",
      "\n",
      "----Stn A PO Boxes----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.13\n",
      "1           Restaurant  0.04\n",
      "2   Seafood Restaurant  0.04\n",
      "3                 Café  0.04\n",
      "4  Japanese Restaurant  0.03\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "         venue  freq\n",
      "0         Café  0.10\n",
      "1  Coffee Shop  0.07\n",
      "2    Gastropub  0.05\n",
      "3       Bakery  0.05\n",
      "4      Brewery  0.05\n",
      "\n",
      "\n",
      "----Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park----\n",
      "                venue  freq\n",
      "0                 Pub  0.13\n",
      "1         Coffee Shop  0.13\n",
      "2  Light Rail Station  0.07\n",
      "3    Sushi Restaurant  0.07\n",
      "4         Supermarket  0.07\n",
      "\n",
      "\n",
      "----The Annex, North Midtown, Yorkville----\n",
      "               venue  freq\n",
      "0               Café  0.14\n",
      "1        Coffee Shop  0.10\n",
      "2     Sandwich Place  0.10\n",
      "3        Pizza Place  0.05\n",
      "4  Indian Restaurant  0.05\n",
      "\n",
      "\n",
      "----The Beaches----\n",
      "               venue  freq\n",
      "0  Health Food Store   0.2\n",
      "1                Pub   0.2\n",
      "2        Coffee Shop   0.2\n",
      "3              Trail   0.2\n",
      "4        Yoga Studio   0.0\n",
      "\n",
      "\n",
      "----The Danforth West, Riverdale----\n",
      "                venue  freq\n",
      "0    Greek Restaurant  0.19\n",
      "1         Coffee Shop  0.10\n",
      "2  Italian Restaurant  0.07\n",
      "3           Bookstore  0.05\n",
      "4      Ice Cream Shop  0.05\n",
      "\n",
      "\n",
      "----Toronto Dominion Centre, Design Exchange----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.15\n",
      "1         Café  0.08\n",
      "2        Hotel  0.07\n",
      "3   Restaurant  0.06\n",
      "4    Gastropub  0.03\n",
      "\n",
      "\n",
      "----University of Toronto, Harbord----\n",
      "        venue  freq\n",
      "0        Café  0.14\n",
      "1   Bookstore  0.06\n",
      "2         Bar  0.06\n",
      "3      Bakery  0.06\n",
      "4  Restaurant  0.06\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in toronto_grouped['Neighborhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = toronto_grouped[toronto_grouped['Neighborhood'] == hood].T.reset_index()\n",
    "    temp.columns = ['venue','freq']\n",
    "    temp = temp.iloc[1:]\n",
    "    temp['freq'] = temp['freq'].astype(float)\n",
    "    temp = temp.round({'freq': 2})\n",
    "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's use the same function as in the exercise to sort the dataframe in descending order."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take the top 10 venues for each neighborhood in a new dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Business reply mail Processing CentrE</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Smoke Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Airport Gate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood 1st Most Common Venue  \\\n",
       "0                                        Berczy Park           Coffee Shop   \n",
       "1       Brockton, Parkdale Village, Exhibition Place                  Café   \n",
       "2              Business reply mail Processing CentrE           Yoga Studio   \n",
       "3  CN Tower, King and Spadina, Railway Lands, Har...      Airport Terminal   \n",
       "4                                 Central Bay Street           Coffee Shop   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0          Cocktail Bar           Cheese Shop                Bakery   \n",
       "1           Coffee Shop        Breakfast Spot             Pet Store   \n",
       "2         Auto Workshop            Comic Shop                  Park   \n",
       "3        Airport Lounge       Airport Service   Rental Car Location   \n",
       "4    Italian Restaurant       Thai Restaurant        Sandwich Place   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0    Seafood Restaurant        Farmers Market            Restaurant   \n",
       "1               Stadium         Burrito Place            Restaurant   \n",
       "2           Pizza Place         Burrito Place            Restaurant   \n",
       "3         Boat or Ferry           Coffee Shop              Boutique   \n",
       "4          Burger Joint   Japanese Restaurant                  Café   \n",
       "\n",
       "  8th Most Common Venue  9th Most Common Venue 10th Most Common Venue  \n",
       "0                  Café               Beer Bar       Department Store  \n",
       "1          Climbing Gym  Performing Arts Venue                 Bakery  \n",
       "2               Brewery     Light Rail Station             Smoke Shop  \n",
       "3       Harbor / Marina                    Bar           Airport Gate  \n",
       "4          Dessert Shop                    Spa            Salad Place  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "        \n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clustering\n",
    "Let's use kmeans to split it into 5 clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 2, 2, 2, 2, 2, 2, 2, 2, 2])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kclusters = 3\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n",
    "kmeans.labels_[0:10] "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's merge the output of the clustering algorithm and see which neighborhoods fall together."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>Postal code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Creperie</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>College Auditorium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>2</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code           Borough                                 Neighborhood  \\\n",
       "0         M5A  Downtown Toronto                    Regent Park, Harbourfront   \n",
       "1         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government   \n",
       "2         M5B  Downtown Toronto                     Garden District, Ryerson   \n",
       "3         M5C  Downtown Toronto                               St. James Town   \n",
       "4         M4E      East Toronto                                  The Beaches   \n",
       "\n",
       "    Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "0  43.654260 -79.360636               2           Coffee Shop   \n",
       "1  43.662301 -79.389494               2           Coffee Shop   \n",
       "2  43.657162 -79.378937               2           Coffee Shop   \n",
       "3  43.651494 -79.375418               2           Coffee Shop   \n",
       "4  43.676357 -79.293031               2                   Pub   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                   Pub                  Park                Bakery   \n",
       "1              Creperie              Beer Bar              Boutique   \n",
       "2        Clothing Store                  Café   Japanese Restaurant   \n",
       "3                  Café            Restaurant   American Restaurant   \n",
       "4           Coffee Shop                 Trail     Health Food Store   \n",
       "\n",
       "  5th Most Common Venue      6th Most Common Venue 7th Most Common Venue  \\\n",
       "0    Mexican Restaurant                       Café            Restaurant   \n",
       "1          Burger Joint              Burrito Place            Restaurant   \n",
       "2       Bubble Tea Shop  Middle Eastern Restaurant        Cosmetics Shop   \n",
       "3              Beer Bar             Cosmetics Shop                Bakery   \n",
       "4      Doner Restaurant               Dessert Shop                 Diner   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0        Breakfast Spot           Event Space                  Hotel  \n",
       "1                  Café                  Park     College Auditorium  \n",
       "2              Tea Room             Bookstore                  Diner  \n",
       "3                 Diner   Japanese Restaurant     Italian Restaurant  \n",
       "4        Discount Store   Distribution Center                Dog Run  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "try:\n",
    "    neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "except:\n",
    "    pass\n",
    "toronto_merged = central_data\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "toronto_merged.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we visualize the result we can see that most neighborhoods fall into the same cluster and that our selection of neighborhoods does not show much difference. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
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        <script>
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        circle_marker_d9670be5d3c84f9dad839ea29a9cf9da.bindPopup(popup_38861fb229bb48cdbe353ffda7644253)
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        var popup_58d985f163b24d6aaf28a8ce800ac2e2 = L.popup({"maxWidth": "100%"});

        
            var html_9f40047ab5cf4cecb4ceac9bf2911ca4 = $(`<div id="html_9f40047ab5cf4cecb4ceac9bf2911ca4" style="width: 100.0%; height: 100.0%;">Studio District Cluster 2</div>`)[0];
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        circle_marker_f5ad725340274745aa4f4c92d8624b03.bindPopup(popup_58d985f163b24d6aaf28a8ce800ac2e2)
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            var circle_marker_9ce876e978274818b0beb1d8f4258416 = L.circleMarker(
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        var popup_e7764677fcf34eb18b4e5bc6857df985 = L.popup({"maxWidth": "100%"});

        
            var html_0007434e84a545fe9fdc90128df3b086 = $(`<div id="html_0007434e84a545fe9fdc90128df3b086" style="width: 100.0%; height: 100.0%;">Lawrence Park Cluster 0</div>`)[0];
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        circle_marker_9ce876e978274818b0beb1d8f4258416.bindPopup(popup_e7764677fcf34eb18b4e5bc6857df985)
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            var circle_marker_83ec69570fdb423f84765fd39c664af0 = L.circleMarker(
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        var popup_910f8fc593144360b063d3cb18f88b3b = L.popup({"maxWidth": "100%"});

        
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            popup_910f8fc593144360b063d3cb18f88b3b.setContent(html_2b7113f8c37941fdb5b65edd1f6860ce);
        

        circle_marker_83ec69570fdb423f84765fd39c664af0.bindPopup(popup_910f8fc593144360b063d3cb18f88b3b)
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            var circle_marker_00cace987c9f4a29ae42bb4400983641 = L.circleMarker(
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        circle_marker_00cace987c9f4a29ae42bb4400983641.bindPopup(popup_4e7279dc54484e89b7a94096783b7296)
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            var circle_marker_c54c97393faa4282969c69aebbc11d88 = L.circleMarker(
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        circle_marker_c54c97393faa4282969c69aebbc11d88.bindPopup(popup_c97180f75e3547da92d7a0efd5ae1d7b)
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        var popup_5813d88886d04306a4bd8f8202d7eeff = L.popup({"maxWidth": "100%"});

        
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        circle_marker_0e91787e87eb45cf8336b02ad91e0dde.bindPopup(popup_5813d88886d04306a4bd8f8202d7eeff)
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            var circle_marker_13e33b30673b4f0cb438cf6bd51b7a93 = L.circleMarker(
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        circle_marker_13e33b30673b4f0cb438cf6bd51b7a93.bindPopup(popup_4adc222154f94e2cb1a096f8e926a574)
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            var circle_marker_65a292740939406db2dfb880817b7322 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_f5c2a67b350e428aa772401773980cd7 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_65a292740939406db2dfb880817b7322.bindPopup(popup_f5c2a67b350e428aa772401773980cd7)
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            var circle_marker_d0aeaba27c6f4029ad5e83cb90079c3e = L.circleMarker(
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            var html_e6a5bea343364f5d8222eebc0ba0a782 = $(`<div id="html_e6a5bea343364f5d8222eebc0ba0a782" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles Cluster 2</div>`)[0];
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        circle_marker_d0aeaba27c6f4029ad5e83cb90079c3e.bindPopup(popup_e16a25ffa0ed44c38cc01030a774adc0)
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            var html_6eb7a2ca3b0740149e1960ca79061d03 = $(`<div id="html_6eb7a2ca3b0740149e1960ca79061d03" style="width: 100.0%; height: 100.0%;">Davisville Cluster 2</div>`)[0];
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        circle_marker_71249f10c567495f990edc073f5e9451.bindPopup(popup_6577094539fa4532858028077328a368)
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        circle_marker_eaf45aa3f37347c2b27a42b5a3de83ba.bindPopup(popup_b1c01135b32b41be9fcc568acce5dee0)
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                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        circle_marker_bf8a98cf46a04dfea432807e0732dd08.bindPopup(popup_6c05e5fa3a8d410b8af7213e5c24244c)
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                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_749d8d6054ff45779b03b6ab264f0755 = L.popup({"maxWidth": "100%"});

        
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            popup_749d8d6054ff45779b03b6ab264f0755.setContent(html_ec4a3dacbedc4eb0abdb2f156bc2f522);
        

        circle_marker_d9e87ec4508a49a8906f200276cfacfc.bindPopup(popup_749d8d6054ff45779b03b6ab264f0755)
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            var circle_marker_f8da64c7633e4983949f8e972db56ed3 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fd1992f56a441918354a34c33775f50);
        
    
        var popup_80ac22c85ed54d28a3e6745cecdcd6aa = L.popup({"maxWidth": "100%"});

        
            var html_9a95562132de4991bab1d0d80a4e99ed = $(`<div id="html_9a95562132de4991bab1d0d80a4e99ed" style="width: 100.0%; height: 100.0%;">Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park Cluster 2</div>`)[0];
            popup_80ac22c85ed54d28a3e6745cecdcd6aa.setContent(html_9a95562132de4991bab1d0d80a4e99ed);
        

        circle_marker_f8da64c7633e4983949f8e972db56ed3.bindPopup(popup_80ac22c85ed54d28a3e6745cecdcd6aa)
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                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fd1992f56a441918354a34c33775f50);
        
    
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            var html_e75781e4f6b24a778f75a257d0f61e66 = $(`<div id="html_e75781e4f6b24a778f75a257d0f61e66" style="width: 100.0%; height: 100.0%;">CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst  Quay, South Niagara, Island airport Cluster 2</div>`)[0];
            popup_277a55f10a4d4e1a8d8b9d03090c05e6.setContent(html_e75781e4f6b24a778f75a257d0f61e66);
        

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            var circle_marker_4ec8eba1fae14699ba5cf8ca48544876 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fd1992f56a441918354a34c33775f50);
        
    
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            var html_18394461d2924c8ca6a83148f42a7d92 = $(`<div id="html_18394461d2924c8ca6a83148f42a7d92" style="width: 100.0%; height: 100.0%;">Rosedale Cluster 0</div>`)[0];
            popup_be4adfefeac04cfbad8775f0272808c3.setContent(html_18394461d2924c8ca6a83148f42a7d92);
        

        circle_marker_4ec8eba1fae14699ba5cf8ca48544876.bindPopup(popup_be4adfefeac04cfbad8775f0272808c3)
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            var circle_marker_3b5d19ecc5604a82b27417f689d51209 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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        var popup_bc875d07e14e4355a55a49737fea5f31 = L.popup({"maxWidth": "100%"});

        
            var html_d43eecf005bd42c99bed02cadf193cde = $(`<div id="html_d43eecf005bd42c99bed02cadf193cde" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes Cluster 2</div>`)[0];
            popup_bc875d07e14e4355a55a49737fea5f31.setContent(html_d43eecf005bd42c99bed02cadf193cde);
        

        circle_marker_3b5d19ecc5604a82b27417f689d51209.bindPopup(popup_bc875d07e14e4355a55a49737fea5f31)
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            var circle_marker_cda01406b07044b1a43c8a9b898ea1f7 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fd1992f56a441918354a34c33775f50);
        
    
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            var html_a9255c0cf0ea4054882a1dcfc2c95ebb = $(`<div id="html_a9255c0cf0ea4054882a1dcfc2c95ebb" style="width: 100.0%; height: 100.0%;">St. James Town, Cabbagetown Cluster 2</div>`)[0];
            popup_34a2acf1b04346d085a7dbaaf96ba188.setContent(html_a9255c0cf0ea4054882a1dcfc2c95ebb);
        

        circle_marker_cda01406b07044b1a43c8a9b898ea1f7.bindPopup(popup_34a2acf1b04346d085a7dbaaf96ba188)
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            var circle_marker_1bbe1f4e835f4544ac5774a2d77c6e52 = L.circleMarker(
                [43.6484292, -79.3822802],
                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fd1992f56a441918354a34c33775f50);
        
    
        var popup_8ee9731b86fb4dcb8dc362acf37fe070 = L.popup({"maxWidth": "100%"});

        
            var html_17948124d5834814a236d7624a7c3518 = $(`<div id="html_17948124d5834814a236d7624a7c3518" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city Cluster 2</div>`)[0];
            popup_8ee9731b86fb4dcb8dc362acf37fe070.setContent(html_17948124d5834814a236d7624a7c3518);
        

        circle_marker_1bbe1f4e835f4544ac5774a2d77c6e52.bindPopup(popup_8ee9731b86fb4dcb8dc362acf37fe070)
        ;

        
    
    
            var circle_marker_b6ebf629b90a49919ee32bf8fdda9f43 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fd1992f56a441918354a34c33775f50);
        
    
        var popup_41867795f2a9426480e94df8c948e79b = L.popup({"maxWidth": "100%"});

        
            var html_f3253259c8f04310895c3fe174ad1caf = $(`<div id="html_f3253259c8f04310895c3fe174ad1caf" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 2</div>`)[0];
            popup_41867795f2a9426480e94df8c948e79b.setContent(html_f3253259c8f04310895c3fe174ad1caf);
        

        circle_marker_b6ebf629b90a49919ee32bf8fdda9f43.bindPopup(popup_41867795f2a9426480e94df8c948e79b)
        ;

        
    
    
            var circle_marker_70a2caf7aa29439d84466c897ff6e4ad = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_4fd1992f56a441918354a34c33775f50);
        
    
        var popup_e9104f008d3b470584db6e7a010a40f0 = L.popup({"maxWidth": "100%"});

        
            var html_5aa1658f91b14094927dc77384b49b05 = $(`<div id="html_5aa1658f91b14094927dc77384b49b05" style="width: 100.0%; height: 100.0%;">Business reply mail Processing CentrE Cluster 2</div>`)[0];
            popup_e9104f008d3b470584db6e7a010a40f0.setContent(html_5aa1658f91b14094927dc77384b49b05);
        

        circle_marker_70a2caf7aa29439d84466c897ff6e4ad.bindPopup(popup_e9104f008d3b470584db6e7a010a40f0)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x201b7a058b0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighborhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's examine the clusters one by one. We can see that there is one big cluster and two small ones. We should include all neighborhoods to get a complete view later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Lawyer</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "18   Central Toronto               0                Lawyer   \n",
       "21   Central Toronto               0      Sushi Restaurant   \n",
       "33  Downtown Toronto               0                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "18                  Park              Bus Line           Swim School   \n",
       "21                  Park         Jewelry Store                 Trail   \n",
       "33                 Trail            Playground         Women's Store   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
       "18          Dessert Shop  Ethiopian Restaurant            Electronics Store   \n",
       "21      Doner Restaurant          Dessert Shop                        Diner   \n",
       "33         Deli / Bodega     Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "          8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "18  Eastern European Restaurant   Dumpling Restaurant             Donut Shop  \n",
       "21               Discount Store   Distribution Center                Dog Run  \n",
       "33          Dumpling Restaurant            Donut Shop       Doner Restaurant  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "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>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Summer Camp</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "29  Central Toronto               1            Playground   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "29           Summer Camp         Women's Store      Department Store   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
       "29  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "29   Dumpling Restaurant            Donut Shop       Doner Restaurant  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "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>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Creperie</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>College Auditorium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Candy Store</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Art Gallery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Lounge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Flea Market</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Indoor Play Area</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>College Arts Building</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Burrito Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Airport Gate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Gym</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Smoke Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "0   Downtown Toronto               2           Coffee Shop   \n",
       "1   Downtown Toronto               2           Coffee Shop   \n",
       "2   Downtown Toronto               2           Coffee Shop   \n",
       "3   Downtown Toronto               2           Coffee Shop   \n",
       "4       East Toronto               2                   Pub   \n",
       "5   Downtown Toronto               2           Coffee Shop   \n",
       "6   Downtown Toronto               2           Coffee Shop   \n",
       "7   Downtown Toronto               2         Grocery Store   \n",
       "8   Downtown Toronto               2            Restaurant   \n",
       "9       West Toronto               2              Pharmacy   \n",
       "10  Downtown Toronto               2           Coffee Shop   \n",
       "11      West Toronto               2                   Bar   \n",
       "12      East Toronto               2      Greek Restaurant   \n",
       "13  Downtown Toronto               2           Coffee Shop   \n",
       "14      West Toronto               2                  Café   \n",
       "15      East Toronto               2        Sandwich Place   \n",
       "16  Downtown Toronto               2           Coffee Shop   \n",
       "17      East Toronto               2                  Café   \n",
       "19   Central Toronto               2          Home Service   \n",
       "20   Central Toronto               2        Sandwich Place   \n",
       "22      West Toronto               2                   Bar   \n",
       "23   Central Toronto               2        Clothing Store   \n",
       "24   Central Toronto               2                  Café   \n",
       "25      West Toronto               2             Gift Shop   \n",
       "26   Central Toronto               2           Pizza Place   \n",
       "27  Downtown Toronto               2                  Café   \n",
       "28      West Toronto               2                  Café   \n",
       "30  Downtown Toronto               2                  Café   \n",
       "31   Central Toronto               2           Coffee Shop   \n",
       "32  Downtown Toronto               2      Airport Terminal   \n",
       "34  Downtown Toronto               2           Coffee Shop   \n",
       "35  Downtown Toronto               2           Coffee Shop   \n",
       "36  Downtown Toronto               2           Coffee Shop   \n",
       "37  Downtown Toronto               2           Coffee Shop   \n",
       "38      East Toronto               2           Yoga Studio   \n",
       "\n",
       "    2nd Most Common Venue 3rd Most Common Venue   4th Most Common Venue  \\\n",
       "0                     Pub                  Park                  Bakery   \n",
       "1                Creperie              Beer Bar                Boutique   \n",
       "2          Clothing Store                  Café     Japanese Restaurant   \n",
       "3                    Café            Restaurant     American Restaurant   \n",
       "4             Coffee Shop                 Trail       Health Food Store   \n",
       "5            Cocktail Bar           Cheese Shop                  Bakery   \n",
       "6      Italian Restaurant       Thai Restaurant          Sandwich Place   \n",
       "7                    Café                  Park             Coffee Shop   \n",
       "8             Coffee Shop                  Café                   Hotel   \n",
       "9                  Bakery         Grocery Store                    Café   \n",
       "10               Aquarium                 Hotel      Italian Restaurant   \n",
       "11            Coffee Shop      Asian Restaurant   Vietnamese Restaurant   \n",
       "12            Coffee Shop    Italian Restaurant  Furniture / Home Store   \n",
       "13                   Café                 Hotel              Restaurant   \n",
       "14            Coffee Shop        Breakfast Spot               Pet Store   \n",
       "15          Movie Theater     Food & Drink Shop              Restaurant   \n",
       "16             Restaurant                  Café                   Hotel   \n",
       "17            Coffee Shop             Gastropub                  Bakery   \n",
       "19                   Pool                Garden           Women's Store   \n",
       "20         Breakfast Spot                 Hotel       Food & Drink Shop   \n",
       "22                   Café    Mexican Restaurant         Thai Restaurant   \n",
       "23            Coffee Shop   Sporting Goods Shop    Fast Food Restaurant   \n",
       "24         Sandwich Place           Coffee Shop              Donut Shop   \n",
       "25           Dessert Shop            Restaurant               Bookstore   \n",
       "26           Dessert Shop        Sandwich Place        Sushi Restaurant   \n",
       "27                 Bakery                   Bar     Japanese Restaurant   \n",
       "28            Pizza Place           Coffee Shop              Restaurant   \n",
       "30  Vietnamese Restaurant           Coffee Shop                     Bar   \n",
       "31                    Pub      Sushi Restaurant            Liquor Store   \n",
       "32         Airport Lounge       Airport Service     Rental Car Location   \n",
       "34     Seafood Restaurant            Restaurant                    Café   \n",
       "35     Chinese Restaurant            Restaurant                     Pub   \n",
       "36                   Café            Restaurant        Asian Restaurant   \n",
       "37    Japanese Restaurant               Gay Bar              Restaurant   \n",
       "38          Auto Workshop            Comic Shop                    Park   \n",
       "\n",
       "   5th Most Common Venue          6th Most Common Venue 7th Most Common Venue  \\\n",
       "0     Mexican Restaurant                           Café            Restaurant   \n",
       "1           Burger Joint                  Burrito Place            Restaurant   \n",
       "2        Bubble Tea Shop      Middle Eastern Restaurant        Cosmetics Shop   \n",
       "3               Beer Bar                 Cosmetics Shop                Bakery   \n",
       "4       Doner Restaurant                   Dessert Shop                 Diner   \n",
       "5     Seafood Restaurant                 Farmers Market            Restaurant   \n",
       "6           Burger Joint            Japanese Restaurant                  Café   \n",
       "7              Nightclub                     Baby Store           Candy Store   \n",
       "8                    Gym                            Bar                Bakery   \n",
       "9                    Bar                           Bank           Supermarket   \n",
       "10                  Café                     Restaurant   Fried Chicken Joint   \n",
       "11            Restaurant                           Café           Pizza Place   \n",
       "12             Bookstore                 Ice Cream Shop         Grocery Store   \n",
       "13    Seafood Restaurant                      Gastropub   American Restaurant   \n",
       "14               Stadium                  Burrito Place            Restaurant   \n",
       "15         Burrito Place             Italian Restaurant          Liquor Store   \n",
       "16                   Gym            American Restaurant   Japanese Restaurant   \n",
       "17               Brewery            American Restaurant           Yoga Studio   \n",
       "19      Department Store           Ethiopian Restaurant     Electronics Store   \n",
       "20     Convenience Store               Department Store                  Park   \n",
       "22         Grocery Store         Furniture / Home Store             Speakeasy   \n",
       "23                 Diner                   Dessert Shop    Mexican Restaurant   \n",
       "24                   Pub                      BBQ Joint          Liquor Store   \n",
       "25               Dog Run                            Bar    Italian Restaurant   \n",
       "26                   Gym                    Coffee Shop    Italian Restaurant   \n",
       "27            Restaurant                      Bookstore           Coffee Shop   \n",
       "28                   Pub               Sushi Restaurant    Italian Restaurant   \n",
       "30    Mexican Restaurant  Vegetarian / Vegan Restaurant   Dumpling Restaurant   \n",
       "31           Supermarket                           Bank            Sports Bar   \n",
       "32         Boat or Ferry                    Coffee Shop              Boutique   \n",
       "34   Japanese Restaurant                       Beer Bar          Cocktail Bar   \n",
       "35                  Café             Italian Restaurant                Bakery   \n",
       "36    Seafood Restaurant                          Hotel   Japanese Restaurant   \n",
       "37      Sushi Restaurant                          Hotel           Men's Store   \n",
       "38           Pizza Place                  Burrito Place            Restaurant   \n",
       "\n",
       "          8th Most Common Venue        9th Most Common Venue  \\\n",
       "0                Breakfast Spot                  Event Space   \n",
       "1                          Café                         Park   \n",
       "2                      Tea Room                    Bookstore   \n",
       "3                         Diner          Japanese Restaurant   \n",
       "4                Discount Store          Distribution Center   \n",
       "5                          Café                     Beer Bar   \n",
       "6                  Dessert Shop                          Spa   \n",
       "7                   Gas Station                        Diner   \n",
       "8               Thai Restaurant             Asian Restaurant   \n",
       "9                          Pool    Middle Eastern Restaurant   \n",
       "10                      Brewery               Scenic Lookout   \n",
       "11                  Men's Store                  Yoga Studio   \n",
       "12                          Pub                  Pizza Place   \n",
       "13                          Bar           Italian Restaurant   \n",
       "14                 Climbing Gym        Performing Arts Venue   \n",
       "15                 Intersection                          Pub   \n",
       "16           Seafood Restaurant                    Gastropub   \n",
       "17      Comfort Food Restaurant                    Bookstore   \n",
       "19  Eastern European Restaurant          Dumpling Restaurant   \n",
       "20                          Gym  Eastern European Restaurant   \n",
       "22                       Bakery                  Flea Market   \n",
       "23                         Park           Chinese Restaurant   \n",
       "24                  Pizza Place               History Museum   \n",
       "25             Cuban Restaurant                Movie Theater   \n",
       "26                         Café               Farmers Market   \n",
       "27           Chinese Restaurant                 Dessert Shop   \n",
       "28                  Yoga Studio                    Juice Bar   \n",
       "30                Grocery Store                         Park   \n",
       "31          Fried Chicken Joint                  Pizza Place   \n",
       "32              Harbor / Marina                          Bar   \n",
       "34                        Hotel                  Cheese Shop   \n",
       "35                  Pizza Place                         Park   \n",
       "36                    Gastropub                          Gym   \n",
       "37     Mediterranean Restaurant                  Yoga Studio   \n",
       "38                      Brewery           Light Rail Station   \n",
       "\n",
       "         10th Most Common Venue  \n",
       "0                         Hotel  \n",
       "1            College Auditorium  \n",
       "2                         Diner  \n",
       "3            Italian Restaurant  \n",
       "4                       Dog Run  \n",
       "5              Department Store  \n",
       "6                   Salad Place  \n",
       "7            Athletics & Sports  \n",
       "8                   Salad Place  \n",
       "9                   Art Gallery  \n",
       "10          Sporting Goods Shop  \n",
       "11             Cuban Restaurant  \n",
       "12                       Lounge  \n",
       "13          Sporting Goods Shop  \n",
       "14                       Bakery  \n",
       "15         Fast Food Restaurant  \n",
       "16                          Bar  \n",
       "17               Sandwich Place  \n",
       "19                   Donut Shop  \n",
       "20          Dumpling Restaurant  \n",
       "22          Fried Chicken Joint  \n",
       "23                         Café  \n",
       "24                     Pharmacy  \n",
       "25  Eastern European Restaurant  \n",
       "26             Indoor Play Area  \n",
       "27        College Arts Building  \n",
       "28                Burrito Place  \n",
       "30                 Burger Joint  \n",
       "31          American Restaurant  \n",
       "32                 Airport Gate  \n",
       "34               Cosmetics Shop  \n",
       "35               Breakfast Spot  \n",
       "36          American Restaurant  \n",
       "37                    Gastropub  \n",
       "38                   Smoke Shop  "
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
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