segmentig-clustering-toronto_3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Segmenting and Clustering Neighborhoods in Toronto\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from geopy.geocoders import Nominatim\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.decomposition import PCA\n",
    "import folium\n",
    "import requests\n",
    "from tqdm import tqdm\n",
    "from collections import deque\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Load data\n",
    "\n",
    "I load the data generated in the previous notebook and work with only boroughs that contain the word Toronto  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>43.672710</td>\n",
       "      <td>-79.405678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>43.657952</td>\n",
       "      <td>-79.387383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M4S</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>43.704324</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>43.628947</td>\n",
       "      <td>-79.394420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>M4R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>43.715383</td>\n",
       "      <td>-79.405678</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode           Borough  \\\n",
       "2       M5R   Central Toronto   \n",
       "4       M5G  Downtown Toronto   \n",
       "7       M4S   Central Toronto   \n",
       "10      M5V  Downtown Toronto   \n",
       "12      M4R   Central Toronto   \n",
       "\n",
       "                                        Neighbourhood   Latitude  Longitude  \n",
       "2                 The Annex, North Midtown, Yorkville  43.672710 -79.405678  \n",
       "4                                  Central Bay Street  43.657952 -79.387383  \n",
       "7                                          Davisville  43.704324 -79.388790  \n",
       "10  CN Tower, Bathurst Quay, Island airport, Harbo...  43.628947 -79.394420  \n",
       "12                                 North Toronto West  43.715383 -79.405678  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"data.csv\").drop(['Unnamed: 0'], axis=1)\n",
    "TorontoData = data[data.Borough.str.contains(\"Toronto\")]\n",
    "TorontoData.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The dataframe has 4 boroughs and 38 neighborhoods.\n"
     ]
    }
   ],
   "source": [
    "print('The dataframe has {} boroughs and {} neighborhoods.'.format(\n",
    "        len(TorontoData['Borough'].unique()),\n",
    "        TorontoData.shape[0]\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Explore data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I just use geolocator to get the geographical coordinates of Toronto to plot the information using Folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.653963, -79.387207.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto, Canada'\n",
    "\n",
    "geolocator = Nominatim()\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": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <style> #map_3c5c422c162648df8d695ddcd730b179 {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_3c5c422c162648df8d695ddcd730b179" ></div>
        
</body>
<script>    
    

            
                var bounds = null;
            

            var map_3c5c422c162648df8d695ddcd730b179 = L.map(
                                  'map_3c5c422c162648df8d695ddcd730b179',
                                  {center: [43.653963,-79.387207],
                                  zoom: 10,
                                  maxBounds: bounds,
                                  layers: [],
                                  worldCopyJump: false,
                                  crs: L.CRS.EPSG3857
                                 });
            
        
    
            var tile_layer_4d7668bf213b402887fbc06fe0b7a9bb = L.tileLayer(
                'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
                {
  "attribution": null,
  "detectRetina": false,
  "maxZoom": 18,
  "minZoom": 1,
  "noWrap": false,
  "subdomains": "abc"
}
                ).addTo(map_3c5c422c162648df8d695ddcd730b179);
        
    
            var circle_marker_d55574403a604713b8085e713c917c7a = L.circleMarker(
                [43.6727097,-79.40567840000001],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_d32464e4b1c04c56a2d29e1944fa353f = L.popup({maxWidth: '300'});

            
                var html_ef1cb80222a240c5b36505414c204e11 = $('<div id="html_ef1cb80222a240c5b36505414c204e11" style="width: 100.0%; height: 100.0%;">The Annex, North Midtown, Yorkville, Central Toronto</div>')[0];
                popup_d32464e4b1c04c56a2d29e1944fa353f.setContent(html_ef1cb80222a240c5b36505414c204e11);
            

            circle_marker_d55574403a604713b8085e713c917c7a.bindPopup(popup_d32464e4b1c04c56a2d29e1944fa353f);

            
        
    
            var circle_marker_6dd42eea6381449d9082934b5fd659ba = L.circleMarker(
                [43.6579524,-79.3873826],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_c3124ec4a391464f89473366ccd10ece = L.popup({maxWidth: '300'});

            
                var html_7ed66271275446efb2eede1783c54696 = $('<div id="html_7ed66271275446efb2eede1783c54696" style="width: 100.0%; height: 100.0%;">Central Bay Street, Downtown Toronto</div>')[0];
                popup_c3124ec4a391464f89473366ccd10ece.setContent(html_7ed66271275446efb2eede1783c54696);
            

            circle_marker_6dd42eea6381449d9082934b5fd659ba.bindPopup(popup_c3124ec4a391464f89473366ccd10ece);

            
        
    
            var circle_marker_a0c4b167567744e28a226e2674d4069c = L.circleMarker(
                [43.7043244,-79.3887901],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_c2b4972bd6b240b79318cfde406c3616 = L.popup({maxWidth: '300'});

            
                var html_4ae93ce5a02b4fb7aa202ad8d779be51 = $('<div id="html_4ae93ce5a02b4fb7aa202ad8d779be51" style="width: 100.0%; height: 100.0%;">Davisville, Central Toronto</div>')[0];
                popup_c2b4972bd6b240b79318cfde406c3616.setContent(html_4ae93ce5a02b4fb7aa202ad8d779be51);
            

            circle_marker_a0c4b167567744e28a226e2674d4069c.bindPopup(popup_c2b4972bd6b240b79318cfde406c3616);

            
        
    
            var circle_marker_94af13dc999d432e8b32df58ffd1c44a = 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
}
                ).addTo(map_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_5c543d08bc48403aa558dfb1563725e3 = L.popup({maxWidth: '300'});

            
                var html_7937601a94524bfe8d43aaea82e83be7 = $('<div id="html_7937601a94524bfe8d43aaea82e83be7" style="width: 100.0%; height: 100.0%;">CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara, Downtown Toronto</div>')[0];
                popup_5c543d08bc48403aa558dfb1563725e3.setContent(html_7937601a94524bfe8d43aaea82e83be7);
            

            circle_marker_94af13dc999d432e8b32df58ffd1c44a.bindPopup(popup_5c543d08bc48403aa558dfb1563725e3);

            
        
    
            var circle_marker_8b9a2262d57e45ad9474354439aa53e9 = L.circleMarker(
                [43.7153834,-79.40567840000001],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_e372329169884bafaeffe99cbe5bf0c4 = L.popup({maxWidth: '300'});

            
                var html_d530a5d01acd4d58a356290574f63504 = $('<div id="html_d530a5d01acd4d58a356290574f63504" style="width: 100.0%; height: 100.0%;">North Toronto West, Central Toronto</div>')[0];
                popup_e372329169884bafaeffe99cbe5bf0c4.setContent(html_d530a5d01acd4d58a356290574f63504);
            

            circle_marker_8b9a2262d57e45ad9474354439aa53e9.bindPopup(popup_e372329169884bafaeffe99cbe5bf0c4);

            
        
    
            var circle_marker_04ba50a6f63b4b5593240cc5cae40df0 = L.circleMarker(
                [43.6532057,-79.4000493],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_40f431f5c3c943ecad81e8b86fc8c8d4 = L.popup({maxWidth: '300'});

            
                var html_ff4271bf13bc450b924a46cd254ba12c = $('<div id="html_ff4271bf13bc450b924a46cd254ba12c" style="width: 100.0%; height: 100.0%;">Chinatown, Grange Park, Kensington Market, Downtown Toronto</div>')[0];
                popup_40f431f5c3c943ecad81e8b86fc8c8d4.setContent(html_ff4271bf13bc450b924a46cd254ba12c);
            

            circle_marker_04ba50a6f63b4b5593240cc5cae40df0.bindPopup(popup_40f431f5c3c943ecad81e8b86fc8c8d4);

            
        
    
            var circle_marker_1da81a5d080543f8af6c95c396e3aeef = L.circleMarker(
                [43.7280205,-79.3887901],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_8dc970c3ccf744c28517e9b3065e61e9 = L.popup({maxWidth: '300'});

            
                var html_dd3fbc327ec942d8a5094e5e4469920a = $('<div id="html_dd3fbc327ec942d8a5094e5e4469920a" style="width: 100.0%; height: 100.0%;">Lawrence Park, Central Toronto</div>')[0];
                popup_8dc970c3ccf744c28517e9b3065e61e9.setContent(html_dd3fbc327ec942d8a5094e5e4469920a);
            

            circle_marker_1da81a5d080543f8af6c95c396e3aeef.bindPopup(popup_8dc970c3ccf744c28517e9b3065e61e9);

            
        
    
            var circle_marker_6f1fea132fcd4b0283a9faf28daf213c = L.circleMarker(
                [43.6616083,-79.46476329999999],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_7cf8ac0650dc481da6d948397d5f93ba = L.popup({maxWidth: '300'});

            
                var html_7764d76c3a944fb4aaae05e056af5c4e = $('<div id="html_7764d76c3a944fb4aaae05e056af5c4e" style="width: 100.0%; height: 100.0%;">High Park, The Junction South, West Toronto</div>')[0];
                popup_7cf8ac0650dc481da6d948397d5f93ba.setContent(html_7764d76c3a944fb4aaae05e056af5c4e);
            

            circle_marker_6f1fea132fcd4b0283a9faf28daf213c.bindPopup(popup_7cf8ac0650dc481da6d948397d5f93ba);

            
        
    
            var circle_marker_073917a600d548428f708f8a9745a618 = L.circleMarker(
                [43.6571618,-79.37893709999999],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_4e65a02c59ee4d658e0b567d47bf9894 = L.popup({maxWidth: '300'});

            
                var html_e2554ed60ef24046aa053701b4464ccb = $('<div id="html_e2554ed60ef24046aa053701b4464ccb" style="width: 100.0%; height: 100.0%;">Ryerson, Garden District, Downtown Toronto</div>')[0];
                popup_4e65a02c59ee4d658e0b567d47bf9894.setContent(html_e2554ed60ef24046aa053701b4464ccb);
            

            circle_marker_073917a600d548428f708f8a9745a618.bindPopup(popup_4e65a02c59ee4d658e0b567d47bf9894);

            
        
    
            var circle_marker_355007fa437e470d9b5afc452d18dde5 = 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
}
                ).addTo(map_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_18afc0b93e27400c942bf4f45df9b44a = L.popup({maxWidth: '300'});

            
                var html_eae16cd8d70b42c0bbf00b603bf89b1e = $('<div id="html_eae16cd8d70b42c0bbf00b603bf89b1e" style="width: 100.0%; height: 100.0%;">Rosedale, Downtown Toronto</div>')[0];
                popup_18afc0b93e27400c942bf4f45df9b44a.setContent(html_eae16cd8d70b42c0bbf00b603bf89b1e);
            

            circle_marker_355007fa437e470d9b5afc452d18dde5.bindPopup(popup_18afc0b93e27400c942bf4f45df9b44a);

            
        
    
            var circle_marker_5b149ae65f4e48f58b8153ed61697f64 = L.circleMarker(
                [43.6795571,-79.352188],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_bf517c24435f4ec9ae4a14e0ae6ae8a4 = L.popup({maxWidth: '300'});

            
                var html_8d49dead0c0348c5a4527d8286dfb6d6 = $('<div id="html_8d49dead0c0348c5a4527d8286dfb6d6" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale, East Toronto</div>')[0];
                popup_bf517c24435f4ec9ae4a14e0ae6ae8a4.setContent(html_8d49dead0c0348c5a4527d8286dfb6d6);
            

            circle_marker_5b149ae65f4e48f58b8153ed61697f64.bindPopup(popup_bf517c24435f4ec9ae4a14e0ae6ae8a4);

            
        
    
            var circle_marker_52a780f060c3444da795fcf8839a9d79 = L.circleMarker(
                [43.6481985,-79.37981690000002],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_2c266e2417ca40838f160d6df4548f05 = L.popup({maxWidth: '300'});

            
                var html_aef7c5a4cc3e4726bdf065e1fcd90f47 = $('<div id="html_aef7c5a4cc3e4726bdf065e1fcd90f47" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel, Downtown Toronto</div>')[0];
                popup_2c266e2417ca40838f160d6df4548f05.setContent(html_aef7c5a4cc3e4726bdf065e1fcd90f47);
            

            circle_marker_52a780f060c3444da795fcf8839a9d79.bindPopup(popup_2c266e2417ca40838f160d6df4548f05);

            
        
    
            var circle_marker_b80d65650a734a80be4c3529929ab06e = L.circleMarker(
                [43.6408157,-79.38175229999997],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_30683752df544a419188d07df3817c23 = L.popup({maxWidth: '300'});

            
                var html_af46b259ac1a4afc9e160f6441c72855 = $('<div id="html_af46b259ac1a4afc9e160f6441c72855" style="width: 100.0%; height: 100.0%;">Harbourfront East, Toronto Islands, Union Station, Downtown Toronto</div>')[0];
                popup_30683752df544a419188d07df3817c23.setContent(html_af46b259ac1a4afc9e160f6441c72855);
            

            circle_marker_b80d65650a734a80be4c3529929ab06e.bindPopup(popup_30683752df544a419188d07df3817c23);

            
        
    
            var circle_marker_1c5acca39a9c4391b731717c3f3f9650 = L.circleMarker(
                [43.6515706,-79.4844499],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_387346084cca4d25ba8f1eea314fb996 = L.popup({maxWidth: '300'});

            
                var html_23d5cc4a8081406f97ae1fede29ad382 = $('<div id="html_23d5cc4a8081406f97ae1fede29ad382" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea, West Toronto</div>')[0];
                popup_387346084cca4d25ba8f1eea314fb996.setContent(html_23d5cc4a8081406f97ae1fede29ad382);
            

            circle_marker_1c5acca39a9c4391b731717c3f3f9650.bindPopup(popup_387346084cca4d25ba8f1eea314fb996);

            
        
    
            var circle_marker_c6c79e4f4dd144dab5370432b7ec38f1 = L.circleMarker(
                [43.65057120000001,-79.3845675],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_250e151eb1f64f55bedc80a0bde6697b = L.popup({maxWidth: '300'});

            
                var html_3311121dbdf14d01a76c276d65f21b96 = $('<div id="html_3311121dbdf14d01a76c276d65f21b96" style="width: 100.0%; height: 100.0%;">Adelaide, King, Richmond, Downtown Toronto</div>')[0];
                popup_250e151eb1f64f55bedc80a0bde6697b.setContent(html_3311121dbdf14d01a76c276d65f21b96);
            

            circle_marker_c6c79e4f4dd144dab5370432b7ec38f1.bindPopup(popup_250e151eb1f64f55bedc80a0bde6697b);

            
        
    
            var circle_marker_7fcec259e83d4552b7234cf3ef0b9fcd = L.circleMarker(
                [43.67635739999999,-79.2930312],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_5465b0c9f168450c864a1838465757a2 = L.popup({maxWidth: '300'});

            
                var html_ed32d3549d1b47f1a5209835596b4b0e = $('<div id="html_ed32d3549d1b47f1a5209835596b4b0e" style="width: 100.0%; height: 100.0%;">The Beaches, East Toronto</div>')[0];
                popup_5465b0c9f168450c864a1838465757a2.setContent(html_ed32d3549d1b47f1a5209835596b4b0e);
            

            circle_marker_7fcec259e83d4552b7234cf3ef0b9fcd.bindPopup(popup_5465b0c9f168450c864a1838465757a2);

            
        
    
            var circle_marker_4595b999629d4867a5c211bba360e231 = 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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_9d94bfc96a1d420891c6fc03870675f5 = L.popup({maxWidth: '300'});

            
                var html_a8ad7a3af2b7448d86adb7464296be9f = $('<div id="html_a8ad7a3af2b7448d86adb7464296be9f" style="width: 100.0%; height: 100.0%;">Cabbagetown, St. James Town, Downtown Toronto</div>')[0];
                popup_9d94bfc96a1d420891c6fc03870675f5.setContent(html_a8ad7a3af2b7448d86adb7464296be9f);
            

            circle_marker_4595b999629d4867a5c211bba360e231.bindPopup(popup_9d94bfc96a1d420891c6fc03870675f5);

            
        
    
            var circle_marker_72d9950c96a3498993b3b46ec256ebf2 = L.circleMarker(
                [43.6464352,-79.37484599999998],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_c36d004a0d894910866f7e240184195c = L.popup({maxWidth: '300'});

            
                var html_9ccf0833965a4ba3841bc2109278be8a = $('<div id="html_9ccf0833965a4ba3841bc2109278be8a" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade, Downtown Toronto</div>')[0];
                popup_c36d004a0d894910866f7e240184195c.setContent(html_9ccf0833965a4ba3841bc2109278be8a);
            

            circle_marker_72d9950c96a3498993b3b46ec256ebf2.bindPopup(popup_c36d004a0d894910866f7e240184195c);

            
        
    
            var circle_marker_cfb4a6ff1aaf43e4af96568c96344f1b = 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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_81feeda31d564d7daaa4b1ae29eadc45 = L.popup({maxWidth: '300'});

            
                var html_9c7bf2b3758c439ca1eb804bc0876108 = $('<div id="html_9c7bf2b3758c439ca1eb804bc0876108" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city, Downtown Toronto</div>')[0];
                popup_81feeda31d564d7daaa4b1ae29eadc45.setContent(html_9c7bf2b3758c439ca1eb804bc0876108);
            

            circle_marker_cfb4a6ff1aaf43e4af96568c96344f1b.bindPopup(popup_81feeda31d564d7daaa4b1ae29eadc45);

            
        
    
            var circle_marker_503535c173d543be86d6ba4a9eec63b7 = L.circleMarker(
                [43.6895743,-79.38315990000002],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_24bc0488951f42769099f50ca21dbfae = L.popup({maxWidth: '300'});

            
                var html_0a52a19321174235881a60a00640174c = $('<div id="html_0a52a19321174235881a60a00640174c" style="width: 100.0%; height: 100.0%;">Moore Park, Summerhill East, Central Toronto</div>')[0];
                popup_24bc0488951f42769099f50ca21dbfae.setContent(html_0a52a19321174235881a60a00640174c);
            

            circle_marker_503535c173d543be86d6ba4a9eec63b7.bindPopup(popup_24bc0488951f42769099f50ca21dbfae);

            
        
    
            var circle_marker_f4c670db487243e3881967ff636d843d = L.circleMarker(
                [43.6689985,-79.31557159999998],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_647decaf17b648719b4469ac676101b9 = L.popup({maxWidth: '300'});

            
                var html_b19d49e645f04ebeb59c09665d1dd44d = $('<div id="html_b19d49e645f04ebeb59c09665d1dd44d" style="width: 100.0%; height: 100.0%;">The Beaches West, India Bazaar, East Toronto</div>')[0];
                popup_647decaf17b648719b4469ac676101b9.setContent(html_b19d49e645f04ebeb59c09665d1dd44d);
            

            circle_marker_f4c670db487243e3881967ff636d843d.bindPopup(popup_647decaf17b648719b4469ac676101b9);

            
        
    
            var circle_marker_4a037382410342209132da73a82f0559 = L.circleMarker(
                [43.6542599,-79.3606359],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_85326bb698af47d2a509666bebb80006 = L.popup({maxWidth: '300'});

            
                var html_415a5c0e66eb479b91c9343ccc447332 = $('<div id="html_415a5c0e66eb479b91c9343ccc447332" style="width: 100.0%; height: 100.0%;">Harbourfront, Regent Park, Downtown Toronto</div>')[0];
                popup_85326bb698af47d2a509666bebb80006.setContent(html_415a5c0e66eb479b91c9343ccc447332);
            

            circle_marker_4a037382410342209132da73a82f0559.bindPopup(popup_85326bb698af47d2a509666bebb80006);

            
        
    
            var circle_marker_c4ab94ea49e342c0ad77e02a5e56d1b2 = L.circleMarker(
                [43.647926700000006,-79.4197497],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_f80076db6e45457292abaa406dfa2fe4 = L.popup({maxWidth: '300'});

            
                var html_cbf3d7985cc1456e81a8c23d057482a8 = $('<div id="html_cbf3d7985cc1456e81a8c23d057482a8" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity, West Toronto</div>')[0];
                popup_f80076db6e45457292abaa406dfa2fe4.setContent(html_cbf3d7985cc1456e81a8c23d057482a8);
            

            circle_marker_c4ab94ea49e342c0ad77e02a5e56d1b2.bindPopup(popup_f80076db6e45457292abaa406dfa2fe4);

            
        
    
            var circle_marker_9085c2064aa746f0aeb1635024dc32db = L.circleMarker(
                [43.6626956,-79.4000493],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_403e25a9a43d4111a839a3495c554fe8 = L.popup({maxWidth: '300'});

            
                var html_cdad1f5711c046e999a669d39b78de7c = $('<div id="html_cdad1f5711c046e999a669d39b78de7c" style="width: 100.0%; height: 100.0%;">Harbord, University of Toronto, Downtown Toronto</div>')[0];
                popup_403e25a9a43d4111a839a3495c554fe8.setContent(html_cdad1f5711c046e999a669d39b78de7c);
            

            circle_marker_9085c2064aa746f0aeb1635024dc32db.bindPopup(popup_403e25a9a43d4111a839a3495c554fe8);

            
        
    
            var circle_marker_05ea13107bfc4ffa9a011b0e14529538 = L.circleMarker(
                [43.6368472,-79.42819140000002],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_c8681869aa1f47f6867c47c2524a5bd4 = L.popup({maxWidth: '300'});

            
                var html_5ffe25c417f4403daf48f1bffb14cb0a = $('<div id="html_5ffe25c417f4403daf48f1bffb14cb0a" style="width: 100.0%; height: 100.0%;">Brockton, Exhibition Place, Parkdale Village, West Toronto</div>')[0];
                popup_c8681869aa1f47f6867c47c2524a5bd4.setContent(html_5ffe25c417f4403daf48f1bffb14cb0a);
            

            circle_marker_05ea13107bfc4ffa9a011b0e14529538.bindPopup(popup_c8681869aa1f47f6867c47c2524a5bd4);

            
        
    
            var circle_marker_364ea2a53af2434f9dcaeba2c11cca90 = L.circleMarker(
                [43.66900510000001,-79.4422593],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_682511b6b6c4450dbbed19d5fd1d6de2 = L.popup({maxWidth: '300'});

            
                var html_58d28d691a544198ac194cabc1383643 = $('<div id="html_58d28d691a544198ac194cabc1383643" style="width: 100.0%; height: 100.0%;">Dovercourt Village, Dufferin, West Toronto</div>')[0];
                popup_682511b6b6c4450dbbed19d5fd1d6de2.setContent(html_58d28d691a544198ac194cabc1383643);
            

            circle_marker_364ea2a53af2434f9dcaeba2c11cca90.bindPopup(popup_682511b6b6c4450dbbed19d5fd1d6de2);

            
        
    
            var circle_marker_559c1fa2ad4f412ea17912c8a115e446 = L.circleMarker(
                [43.6447708,-79.3733064],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_17327e8e05d44362927ac46342794842 = L.popup({maxWidth: '300'});

            
                var html_168502eb03e9403b84f93d2c918eff0d = $('<div id="html_168502eb03e9403b84f93d2c918eff0d" style="width: 100.0%; height: 100.0%;">Berczy Park, Downtown Toronto</div>')[0];
                popup_17327e8e05d44362927ac46342794842.setContent(html_168502eb03e9403b84f93d2c918eff0d);
            

            circle_marker_559c1fa2ad4f412ea17912c8a115e446.bindPopup(popup_17327e8e05d44362927ac46342794842);

            
        
    
            var circle_marker_60277bea31a0497a91775703b9b66df1 = L.circleMarker(
                [43.6471768,-79.38157640000001],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_23e0db677fb640b095b3ebbdf37bf49a = L.popup({maxWidth: '300'});

            
                var html_5fe139d408f148408f1730c08fa9b230 = $('<div id="html_5fe139d408f148408f1730c08fa9b230" style="width: 100.0%; height: 100.0%;">Design Exchange, Toronto Dominion Centre, Downtown Toronto</div>')[0];
                popup_23e0db677fb640b095b3ebbdf37bf49a.setContent(html_5fe139d408f148408f1730c08fa9b230);
            

            circle_marker_60277bea31a0497a91775703b9b66df1.bindPopup(popup_23e0db677fb640b095b3ebbdf37bf49a);

            
        
    
            var circle_marker_f341ef780e764a9f81f45f07fdac7caa = L.circleMarker(
                [43.6969476,-79.41130720000002],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_8745f76791e14596aff23f31d3bf21b5 = L.popup({maxWidth: '300'});

            
                var html_486ef015245340cfa044104f978ea116 = $('<div id="html_486ef015245340cfa044104f978ea116" style="width: 100.0%; height: 100.0%;">Forest Hill North, Forest Hill West, Central Toronto</div>')[0];
                popup_8745f76791e14596aff23f31d3bf21b5.setContent(html_486ef015245340cfa044104f978ea116);
            

            circle_marker_f341ef780e764a9f81f45f07fdac7caa.bindPopup(popup_8745f76791e14596aff23f31d3bf21b5);

            
        
    
            var circle_marker_3ec245a4211546c98e328484cb767a27 = L.circleMarker(
                [43.6514939,-79.3754179],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_d700dbc3c17f4dcda47af9778d5e8a97 = L.popup({maxWidth: '300'});

            
                var html_110fb80e04184b7daf9978eacd466de7 = $('<div id="html_110fb80e04184b7daf9978eacd466de7" style="width: 100.0%; height: 100.0%;">St. James Town, Downtown Toronto</div>')[0];
                popup_d700dbc3c17f4dcda47af9778d5e8a97.setContent(html_110fb80e04184b7daf9978eacd466de7);
            

            circle_marker_3ec245a4211546c98e328484cb767a27.bindPopup(popup_d700dbc3c17f4dcda47af9778d5e8a97);

            
        
    
            var circle_marker_4314628533834f20b09427ebe6e0ed8e = L.circleMarker(
                [43.68641229999999,-79.4000493],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_862d8f8d4ce847b98533e4702b1893f7 = L.popup({maxWidth: '300'});

            
                var html_5d07cfe451fa4add94c77f8ba1fe4162 = $('<div id="html_5d07cfe451fa4add94c77f8ba1fe4162" style="width: 100.0%; height: 100.0%;">Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West, Central Toronto</div>')[0];
                popup_862d8f8d4ce847b98533e4702b1893f7.setContent(html_5d07cfe451fa4add94c77f8ba1fe4162);
            

            circle_marker_4314628533834f20b09427ebe6e0ed8e.bindPopup(popup_862d8f8d4ce847b98533e4702b1893f7);

            
        
    
            var circle_marker_310a74a2c0c84bd692cd2d4439f7c47a = L.circleMarker(
                [43.7127511,-79.3901975],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_07c5df6ec6ba4388a3c714df13165b30 = L.popup({maxWidth: '300'});

            
                var html_8c079237ad5c498d867922a9ab8ba2b2 = $('<div id="html_8c079237ad5c498d867922a9ab8ba2b2" style="width: 100.0%; height: 100.0%;">Davisville North, Central Toronto</div>')[0];
                popup_07c5df6ec6ba4388a3c714df13165b30.setContent(html_8c079237ad5c498d867922a9ab8ba2b2);
            

            circle_marker_310a74a2c0c84bd692cd2d4439f7c47a.bindPopup(popup_07c5df6ec6ba4388a3c714df13165b30);

            
        
    
            var circle_marker_4bd68ec0bb65458fb042566296a3f479 = L.circleMarker(
                [43.6658599,-79.38315990000002],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_e400c6f9c4c44ef3ad1c6e90a8b37022 = L.popup({maxWidth: '300'});

            
                var html_2a2083b9a68f455387ce4baa6b8b3db7 = $('<div id="html_2a2083b9a68f455387ce4baa6b8b3db7" style="width: 100.0%; height: 100.0%;">Church and Wellesley, Downtown Toronto</div>')[0];
                popup_e400c6f9c4c44ef3ad1c6e90a8b37022.setContent(html_2a2083b9a68f455387ce4baa6b8b3db7);
            

            circle_marker_4bd68ec0bb65458fb042566296a3f479.bindPopup(popup_e400c6f9c4c44ef3ad1c6e90a8b37022);

            
        
    
            var circle_marker_7c3db75ebf824ec8ad56cf7564d48a7e = 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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_3a3d94ab836a48639fd35b8d628dc028 = L.popup({maxWidth: '300'});

            
                var html_b68a92afb8014b5b8600daa2432a9eb9 = $('<div id="html_b68a92afb8014b5b8600daa2432a9eb9" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern, East Toronto</div>')[0];
                popup_3a3d94ab836a48639fd35b8d628dc028.setContent(html_b68a92afb8014b5b8600daa2432a9eb9);
            

            circle_marker_7c3db75ebf824ec8ad56cf7564d48a7e.bindPopup(popup_3a3d94ab836a48639fd35b8d628dc028);

            
        
    
            var circle_marker_3d79a755d00d4064bfa8559dc09ea920 = L.circleMarker(
                [43.6595255,-79.340923],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_2abb9d6425e2453484ac40deae0996be = L.popup({maxWidth: '300'});

            
                var html_0f642556939e47efaccaaf6cd0b5edb4 = $('<div id="html_0f642556939e47efaccaaf6cd0b5edb4" style="width: 100.0%; height: 100.0%;">Studio District, East Toronto</div>')[0];
                popup_2abb9d6425e2453484ac40deae0996be.setContent(html_0f642556939e47efaccaaf6cd0b5edb4);
            

            circle_marker_3d79a755d00d4064bfa8559dc09ea920.bindPopup(popup_2abb9d6425e2453484ac40deae0996be);

            
        
    
            var circle_marker_47c04abbc78540908720e98bbd75b23f = L.circleMarker(
                [43.669542,-79.4225637],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_d3b34fd55b2446608d293a4deb3249ee = L.popup({maxWidth: '300'});

            
                var html_01a4b2de20f34abc9ad4799671f7298b = $('<div id="html_01a4b2de20f34abc9ad4799671f7298b" style="width: 100.0%; height: 100.0%;">Christie, Downtown Toronto</div>')[0];
                popup_d3b34fd55b2446608d293a4deb3249ee.setContent(html_01a4b2de20f34abc9ad4799671f7298b);
            

            circle_marker_47c04abbc78540908720e98bbd75b23f.bindPopup(popup_d3b34fd55b2446608d293a4deb3249ee);

            
        
    
            var circle_marker_0586fed95b33431ba4c7b95120e95581 = L.circleMarker(
                [43.7116948,-79.41693559999999],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_5c525533f5ce4d4488c65e5daa9e1e45 = L.popup({maxWidth: '300'});

            
                var html_9f507269f78d4342bedc061a84d476ca = $('<div id="html_9f507269f78d4342bedc061a84d476ca" style="width: 100.0%; height: 100.0%;">Roselawn, Central Toronto</div>')[0];
                popup_5c525533f5ce4d4488c65e5daa9e1e45.setContent(html_9f507269f78d4342bedc061a84d476ca);
            

            circle_marker_0586fed95b33431ba4c7b95120e95581.bindPopup(popup_5c525533f5ce4d4488c65e5daa9e1e45);

            
        
    
            var circle_marker_2a75788ba8974000bfa2b111c9e478d4 = L.circleMarker(
                [43.6489597,-79.456325],
                {
  "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_3c5c422c162648df8d695ddcd730b179);
            
    
            var popup_c31fc8c67b3a4ea69f2bd1626aa57526 = L.popup({maxWidth: '300'});

            
                var html_4e0c860639e84b81af88ca7487f64100 = $('<div id="html_4e0c860639e84b81af88ca7487f64100" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles, West Toronto</div>')[0];
                popup_c31fc8c67b3a4ea69f2bd1626aa57526.setContent(html_4e0c860639e84b81af88ca7487f64100);
            

            circle_marker_2a75788ba8974000bfa2b111c9e478d4.bindPopup(popup_c31fc8c67b3a4ea69f2bd1626aa57526);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f0ee41ca390>"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of New York using latitude and longitude values\n",
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "neighborhoods = TorontoData\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(neighborhoods['Latitude'],\n",
    "                                           neighborhoods['Longitude'],\n",
    "                                           neighborhoods['Borough'],\n",
    "                                           neighborhoods['Neighbourhood']):\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).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Configure Foursquare access"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID = 'xxx' # your Foursquare ID\n",
    "CLIENT_SECRET = 'yyy' # your Foursquare Secret\n",
    "VERSION = '20180604' # Foursquare API version\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I make use of a function that takes the names and locations of the neighborhoods in Toronto and obtains the 100 top venues around."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500, LIMIT = 100):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in tqdm(zip(names, latitudes, longitudes), total = names.size):\n",
    "        #print(name)\n",
    "            \n",
    "        # create the API request URL\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",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\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",
    "\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",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 38/38 [00:12<00:00,  4.28it/s]\n"
     ]
    }
   ],
   "source": [
    "Toronto_venues = getNearbyVenues(TorontoData.Neighbourhood,\n",
    "                            TorontoData.Latitude,\n",
    "                            TorontoData.Longitude)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I print the shape of my data and also a sample of the initial rows of information"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1712, 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>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>43.67271</td>\n",
       "      <td>-79.405678</td>\n",
       "      <td>Ezra's Pound</td>\n",
       "      <td>43.675153</td>\n",
       "      <td>-79.405858</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>43.67271</td>\n",
       "      <td>-79.405678</td>\n",
       "      <td>Roti Cuisine of India</td>\n",
       "      <td>43.674618</td>\n",
       "      <td>-79.408249</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>43.67271</td>\n",
       "      <td>-79.405678</td>\n",
       "      <td>Rose &amp; Sons</td>\n",
       "      <td>43.675668</td>\n",
       "      <td>-79.403617</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>43.67271</td>\n",
       "      <td>-79.405678</td>\n",
       "      <td>Live Organic Food Bar</td>\n",
       "      <td>43.675053</td>\n",
       "      <td>-79.406715</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>43.67271</td>\n",
       "      <td>-79.405678</td>\n",
       "      <td>Big Crow</td>\n",
       "      <td>43.675896</td>\n",
       "      <td>-79.403680</td>\n",
       "      <td>BBQ Joint</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Neighborhood  Neighborhood Latitude  \\\n",
       "0  The Annex, North Midtown, Yorkville               43.67271   \n",
       "1  The Annex, North Midtown, Yorkville               43.67271   \n",
       "2  The Annex, North Midtown, Yorkville               43.67271   \n",
       "3  The Annex, North Midtown, Yorkville               43.67271   \n",
       "4  The Annex, North Midtown, Yorkville               43.67271   \n",
       "\n",
       "   Neighborhood Longitude                  Venue  Venue Latitude  \\\n",
       "0              -79.405678           Ezra's Pound       43.675153   \n",
       "1              -79.405678  Roti Cuisine of India       43.674618   \n",
       "2              -79.405678            Rose & Sons       43.675668   \n",
       "3              -79.405678  Live Organic Food Bar       43.675053   \n",
       "4              -79.405678               Big Crow       43.675896   \n",
       "\n",
       "   Venue Longitude                 Venue Category  \n",
       "0       -79.405858                           Café  \n",
       "1       -79.408249              Indian Restaurant  \n",
       "2       -79.403617            American Restaurant  \n",
       "3       -79.406715  Vegetarian / Vegan Restaurant  \n",
       "4       -79.403680                      BBQ Joint  "
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(Toronto_venues.shape)\n",
    "Toronto_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I can check the amount of venues per neighboorhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Neighborhood\n",
       "Adelaide, King, Richmond                     100\n",
       "St. James Town                               100\n",
       "Ryerson, Garden District                     100\n",
       "Chinatown, Grange Park, Kensington Market    100\n",
       "Commerce Court, Victoria Hotel               100\n",
       "Name: Venue, dtype: int64"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_venues.groupby(\"Neighborhood\").Venue.count().sort_values(ascending=False).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And the total amount of unique categories in my data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 240 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(Toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us now take the venue category information and create a dataframe with a one hot enconding of these data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "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>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>Opera House</th>\n",
       "      <th>Optical Shop</th>\n",
       "      <th>Organic Grocery</th>\n",
       "      <th>Park</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>...</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Miscellaneous Shop</th>\n",
       "      <th>Modern European Restaurant</th>\n",
       "      <th>Molecular Gastronomy Restaurant</th>\n",
       "      <th>Monument / Landmark</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Moving Target</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Store</th>\n",
       "      <th>Music Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</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>The Annex, North Midtown, Yorkville</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>The Annex, North Midtown, Yorkville</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>The Annex, North Midtown, Yorkville</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>The Annex, North Midtown, Yorkville</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 × 240 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          Neighborhood  New American Restaurant  Nightclub  \\\n",
       "0  The Annex, North Midtown, Yorkville                        0          0   \n",
       "1  The Annex, North Midtown, Yorkville                        0          0   \n",
       "2  The Annex, North Midtown, Yorkville                        0          0   \n",
       "3  The Annex, North Midtown, Yorkville                        0          0   \n",
       "4  The Annex, North Midtown, Yorkville                        0          0   \n",
       "\n",
       "   Noodle House  Office  Opera House  Optical Shop  Organic Grocery  Park  \\\n",
       "0             0       0            0             0                0     0   \n",
       "1             0       0            0             0                0     0   \n",
       "2             0       0            0             0                0     0   \n",
       "3             0       0            0             0                0     0   \n",
       "4             0       0            0             0                0     0   \n",
       "\n",
       "   Performing Arts Venue  ...  Middle Eastern Restaurant  Miscellaneous Shop  \\\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",
       "   Modern European Restaurant  Molecular Gastronomy Restaurant  \\\n",
       "0                           0                                0   \n",
       "1                           0                                0   \n",
       "2                           0                                0   \n",
       "3                           0                                0   \n",
       "4                           0                                0   \n",
       "\n",
       "   Monument / Landmark  Movie Theater  Moving Target  Museum  Music Store  \\\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",
       "   Music Venue  \n",
       "0            0  \n",
       "1            0  \n",
       "2            0  \n",
       "3            0  \n",
       "4            0  \n",
       "\n",
       "[5 rows x 240 columns]"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_OHE = pd.get_dummies(Toronto_venues[\"Venue Category\"],\n",
    "                             prefix = \"\",\n",
    "                             prefix_sep = \"\")\n",
    "\n",
    "Toronto_OHE[\"Neighborhood\"] = Toronto_venues[\"Neighborhood\"]\n",
    "\n",
    "\n",
    "nindex = list(Toronto_OHE.columns).index(\"Neighborhood\")\n",
    "cols = deque(Toronto_OHE.columns)\n",
    "cols.rotate(-nindex)\n",
    "cols = list(cols)\n",
    "Toronto_OHE = Toronto_OHE[cols]\n",
    "\n",
    "Toronto_OHE.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As there are 276 unique categories, the datagrame contains all the neighborhoods and 271 columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1712, 240)"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_OHE.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I can compute the average number of venue categories per neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "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>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>Opera House</th>\n",
       "      <th>Optical Shop</th>\n",
       "      <th>Organic Grocery</th>\n",
       "      <th>Park</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>...</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Miscellaneous Shop</th>\n",
       "      <th>Modern European Restaurant</th>\n",
       "      <th>Molecular Gastronomy Restaurant</th>\n",
       "      <th>Monument / Landmark</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Moving Target</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Store</th>\n",
       "      <th>Music Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.017241</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 240 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood  New American Restaurant  \\\n",
       "0                           Adelaide, King, Richmond                     0.01   \n",
       "1                                        Berczy Park                     0.00   \n",
       "2       Brockton, Exhibition Place, Parkdale Village                     0.00   \n",
       "3  Business Reply Mail Processing Centre 969 Eastern                     0.00   \n",
       "4  CN Tower, Bathurst Quay, Island airport, Harbo...                     0.00   \n",
       "\n",
       "   Nightclub  Noodle House  Office  Opera House  Optical Shop  \\\n",
       "0   0.000000          0.01    0.01         0.01           0.0   \n",
       "1   0.017241          0.00    0.00         0.00           0.0   \n",
       "2   0.045455          0.00    0.00         0.00           0.0   \n",
       "3   0.000000          0.00    0.00         0.00           0.0   \n",
       "4   0.000000          0.00    0.00         0.00           0.0   \n",
       "\n",
       "   Organic Grocery      Park  Performing Arts Venue  ...  \\\n",
       "0              0.0  0.000000               0.000000  ...   \n",
       "1              0.0  0.017241               0.000000  ...   \n",
       "2              0.0  0.000000               0.045455  ...   \n",
       "3              0.0  0.058824               0.000000  ...   \n",
       "4              0.0  0.000000               0.000000  ...   \n",
       "\n",
       "   Middle Eastern Restaurant  Miscellaneous Shop  Modern European Restaurant  \\\n",
       "0                        0.0                 0.0                         0.0   \n",
       "1                        0.0                 0.0                         0.0   \n",
       "2                        0.0                 0.0                         0.0   \n",
       "3                        0.0                 0.0                         0.0   \n",
       "4                        0.0                 0.0                         0.0   \n",
       "\n",
       "   Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n",
       "0                              0.0                 0.01            0.0   \n",
       "1                              0.0                 0.00            0.0   \n",
       "2                              0.0                 0.00            0.0   \n",
       "3                              0.0                 0.00            0.0   \n",
       "4                              0.0                 0.00            0.0   \n",
       "\n",
       "   Moving Target    Museum  Music Store  Music Venue  \n",
       "0       0.000000  0.000000          0.0          0.0  \n",
       "1       0.000000  0.017241          0.0          0.0  \n",
       "2       0.000000  0.000000          0.0          0.0  \n",
       "3       0.058824  0.000000          0.0          0.0  \n",
       "4       0.000000  0.000000          0.0          0.0  \n",
       "\n",
       "[5 rows x 240 columns]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_grouped = Toronto_OHE.groupby('Neighborhood').mean().reset_index()\n",
    "Toronto_grouped.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In total I have 99 Neighborhoods, grouped by borough, and 271 distinct categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(38, 240)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_grouped.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The number of Neighborhoods obtained from the venues is smaller than the original number of postcodes, what means that in some postcodes there are no venues"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For neighborhood clustering let us select only the N most frequent venue categories per neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "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",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "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>Adelaide, King, Richmond</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Boutique</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood 1st Most Common Venue  \\\n",
       "0                           Adelaide, King, Richmond           Coffee Shop   \n",
       "1                                        Berczy Park           Coffee Shop   \n",
       "2       Brockton, Exhibition Place, Parkdale Village                  Café   \n",
       "3  Business Reply Mail Processing Centre 969 Eastern         Burrito Place   \n",
       "4  CN Tower, Bathurst Quay, Island airport, Harbo...        Airport Lounge   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                   Bar            Steakhouse       Thai Restaurant   \n",
       "1          Cocktail Bar                  Café            Steakhouse   \n",
       "2        Breakfast Spot           Coffee Shop         Burrito Place   \n",
       "3           Pizza Place         Auto Workshop                   Spa   \n",
       "4      Airport Terminal       Airport Service          Airport Gate   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0                  Café      Sushi Restaurant   American Restaurant   \n",
       "1            Restaurant                   Pub                Bakery   \n",
       "2                   Bar                   Gym         Grocery Store   \n",
       "3            Restaurant      Recording Studio            Comic Shop   \n",
       "4               Airport       Harbor / Marina         Boat or Ferry   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0      Asian Restaurant                Bakery                  Hotel  \n",
       "1           Cheese Shop        Farmers Market     Seafood Restaurant  \n",
       "2     Convenience Store    Falafel Restaurant            Yoga Studio  \n",
       "3    Light Rail Station            Smoke Shop   Fast Food Restaurant  \n",
       "4                 Plane    Airport Food Court               Boutique  "
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\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",
    "# create a new dataframe\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": [
    "## 3. Neighborhood clustering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Before clustering, let us use a PCA decomposition to reduce the noise of the signal and improve clustering efficiency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA(.95)\n",
    "Toronto_grouped_clustering = pca.fit_transform(Toronto_grouped.drop('Neighborhood', 1))\n",
    "Toronto_grouped_clustering = Toronto_grouped.drop('Neighborhood', 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dimensionality reduction has kept only a reduced number of the total dimensions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(38, 239)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_grouped_clustering.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With reduced dimensional dataset we carry out the KMeans clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2 2 2 2 2 2 2 2 2 2]\n",
      "(38,)\n"
     ]
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(Toronto_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "print(kmeans.labels_[0:10])\n",
    "print(kmeans.labels_.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let us now create a dataframe that containes the neighborhood, the location and the cluster information, together with the top 10 venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>...</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>M5R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>43.672710</td>\n",
       "      <td>-79.405678</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>43.657952</td>\n",
       "      <td>-79.387383</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>...</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M4S</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>43.704324</td>\n",
       "      <td>-79.388790</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>43.628947</td>\n",
       "      <td>-79.394420</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Boutique</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M4R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>43.715383</td>\n",
       "      <td>-79.405678</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 256 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough  \\\n",
       "0      M5R   Central Toronto   \n",
       "1      M5G  Downtown Toronto   \n",
       "2      M4S   Central Toronto   \n",
       "3      M5V  Downtown Toronto   \n",
       "4      M4R   Central Toronto   \n",
       "\n",
       "                                       Neighbourhood   Latitude  Longitude  \\\n",
       "0                The Annex, North Midtown, Yorkville  43.672710 -79.405678   \n",
       "1                                 Central Bay Street  43.657952 -79.387383   \n",
       "2                                         Davisville  43.704324 -79.388790   \n",
       "3  CN Tower, Bathurst Quay, Island airport, Harbo...  43.628947 -79.394420   \n",
       "4                                 North Toronto West  43.715383 -79.405678   \n",
       "\n",
       "                                        Neighborhood  New American Restaurant  \\\n",
       "0                The Annex, North Midtown, Yorkville                      0.0   \n",
       "1                                 Central Bay Street                      0.0   \n",
       "2                                         Davisville                      0.0   \n",
       "3  CN Tower, Bathurst Quay, Island airport, Harbo...                      0.0   \n",
       "4                                 North Toronto West                      0.0   \n",
       "\n",
       "   Nightclub  Noodle House    Office  ...  1st Most Common Venue  \\\n",
       "0        0.0           0.0  0.000000  ...                   Café   \n",
       "1        0.0           0.0  0.011765  ...            Coffee Shop   \n",
       "2        0.0           0.0  0.000000  ...           Dessert Shop   \n",
       "3        0.0           0.0  0.000000  ...         Airport Lounge   \n",
       "4        0.0           0.0  0.000000  ...    Sporting Goods Shop   \n",
       "\n",
       "   2nd Most Common Venue  3rd Most Common Venue  4th Most Common Venue  \\\n",
       "0         Sandwich Place            Coffee Shop            Pizza Place   \n",
       "1                   Café     Italian Restaurant        Bubble Tea Shop   \n",
       "2         Sandwich Place             Restaurant     Italian Restaurant   \n",
       "3       Airport Terminal        Airport Service           Airport Gate   \n",
       "4            Coffee Shop           Dessert Shop              Pet Store   \n",
       "\n",
       "     5th Most Common Venue  6th Most Common Venue      7th Most Common Venue  \\\n",
       "0                     Park           Liquor Store          Convenience Store   \n",
       "1             Burger Joint                    Bar  Middle Eastern Restaurant   \n",
       "2                     Café       Sushi Restaurant                Coffee Shop   \n",
       "3                  Airport        Harbor / Marina              Boat or Ferry   \n",
       "4  Health & Beauty Service          Grocery Store         Salon / Barbershop   \n",
       "\n",
       "   8th Most Common Venue  9th Most Common Venue  10th Most Common Venue  \n",
       "0         Cosmetics Shop                    Pub     American Restaurant  \n",
       "1       Sushi Restaurant            Salad Place          Sandwich Place  \n",
       "2            Pizza Place    Japanese Restaurant      Seafood Restaurant  \n",
       "3                  Plane     Airport Food Court                Boutique  \n",
       "4   Fast Food Restaurant         Clothing Store             Yoga Studio  \n",
       "\n",
       "[5 rows x 256 columns]"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_grouped[\"Cluster Labels\"] = kmeans.labels_\n",
    "\n",
    "# add clustering labels\n",
    "Toronto_combined = TorontoData.merge(Toronto_grouped, left_on = \"Neighbourhood\", right_on = \"Neighborhood\", how = \"outer\")\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "Toronto_combined = Toronto_combined.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "\n",
    "Toronto_combined[\"Cluster Labels\"] = Toronto_combined[\"Cluster Labels\"].fillna(5).astype(\"int\")\n",
    "\n",
    "Toronto_combined.head() # check the last columns!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    <script>L_PREFER_CANVAS = false; L_NO_TOUCH = false; L_DISABLE_3D = false;</script>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.js"></script>
    <script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.1/jquery.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.2.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawgit.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <style> #map_45d36fa48fd640ebbfddf2d7d0017d39 {
                position : relative;
                width : 100.0%;
                height: 100.0%;
                left: 0.0%;
                top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_45d36fa48fd640ebbfddf2d7d0017d39" ></div>
        
</body>
<script>    
    

            
                var bounds = null;
            

            var map_45d36fa48fd640ebbfddf2d7d0017d39 = L.map(
                                  'map_45d36fa48fd640ebbfddf2d7d0017d39',
                                  {center: [43.653963,-79.387207],
                                  zoom: 12,
                                  maxBounds: bounds,
                                  layers: [],
                                  worldCopyJump: false,
                                  crs: L.CRS.EPSG3857
                                 });
            
        
    
            var tile_layer_82f8ddd2a20d4785a52d87e7b6d7026b = L.tileLayer(
                'https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
                {
  "attribution": null,
  "detectRetina": false,
  "maxZoom": 18,
  "minZoom": 1,
  "noWrap": false,
  "subdomains": "abc"
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
        
    
            var circle_marker_16bcc7baf6774b4a87c0b66d53fe0347 = L.circleMarker(
                [43.6727097,-79.40567840000001],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_36573c1682aa4a88a0693642b25be01d = L.popup({maxWidth: '300'});

            
                var html_5a9986ee50ab4443ab589eb5f0ce33b5 = $('<div id="html_5a9986ee50ab4443ab589eb5f0ce33b5" style="width: 100.0%; height: 100.0%;">The Annex, North Midtown, Yorkville Cluster 2</div>')[0];
                popup_36573c1682aa4a88a0693642b25be01d.setContent(html_5a9986ee50ab4443ab589eb5f0ce33b5);
            

            circle_marker_16bcc7baf6774b4a87c0b66d53fe0347.bindPopup(popup_36573c1682aa4a88a0693642b25be01d);

            
        
    
            var circle_marker_5938a7aac1c141a38603721be7f636c2 = L.circleMarker(
                [43.6579524,-79.3873826],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_c9b4088bbe4a46d081a4f01dbee6d4a2 = L.popup({maxWidth: '300'});

            
                var html_9bb43ca01ef944d597ad6eab139629ad = $('<div id="html_9bb43ca01ef944d597ad6eab139629ad" style="width: 100.0%; height: 100.0%;">Central Bay Street Cluster 2</div>')[0];
                popup_c9b4088bbe4a46d081a4f01dbee6d4a2.setContent(html_9bb43ca01ef944d597ad6eab139629ad);
            

            circle_marker_5938a7aac1c141a38603721be7f636c2.bindPopup(popup_c9b4088bbe4a46d081a4f01dbee6d4a2);

            
        
    
            var circle_marker_b0741b6cfd1b4dcdbb44644f91f35bec = L.circleMarker(
                [43.7043244,-79.3887901],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_d24a0203d871420d9eb5d9517011b98f = L.popup({maxWidth: '300'});

            
                var html_8804aeb1754b430993353cc2a1f40bda = $('<div id="html_8804aeb1754b430993353cc2a1f40bda" style="width: 100.0%; height: 100.0%;">Davisville Cluster 2</div>')[0];
                popup_d24a0203d871420d9eb5d9517011b98f.setContent(html_8804aeb1754b430993353cc2a1f40bda);
            

            circle_marker_b0741b6cfd1b4dcdbb44644f91f35bec.bindPopup(popup_d24a0203d871420d9eb5d9517011b98f);

            
        
    
            var circle_marker_c4a70c1c88aa42d6a525c24c51d73d76 = L.circleMarker(
                [43.6289467,-79.3944199],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_6788353ad235497d8f3dac25a3faece1 = L.popup({maxWidth: '300'});

            
                var html_aa8da9b7adfd4c34bd8c0d6e6ccbfdb4 = $('<div id="html_aa8da9b7adfd4c34bd8c0d6e6ccbfdb4" style="width: 100.0%; height: 100.0%;">CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara Cluster 2</div>')[0];
                popup_6788353ad235497d8f3dac25a3faece1.setContent(html_aa8da9b7adfd4c34bd8c0d6e6ccbfdb4);
            

            circle_marker_c4a70c1c88aa42d6a525c24c51d73d76.bindPopup(popup_6788353ad235497d8f3dac25a3faece1);

            
        
    
            var circle_marker_96082731deb8434eb576f510d33e54a6 = L.circleMarker(
                [43.7153834,-79.40567840000001],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_da81c8a644224f739810d8c800edbf7b = L.popup({maxWidth: '300'});

            
                var html_67cdb0ed24ab4a6b96d079b6fee0a3bb = $('<div id="html_67cdb0ed24ab4a6b96d079b6fee0a3bb" style="width: 100.0%; height: 100.0%;">North Toronto West Cluster 2</div>')[0];
                popup_da81c8a644224f739810d8c800edbf7b.setContent(html_67cdb0ed24ab4a6b96d079b6fee0a3bb);
            

            circle_marker_96082731deb8434eb576f510d33e54a6.bindPopup(popup_da81c8a644224f739810d8c800edbf7b);

            
        
    
            var circle_marker_6d991b8d478847c490d6a126d44a5ef6 = L.circleMarker(
                [43.6532057,-79.4000493],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_a24b5cb2609a432e9c8dc53fa7c5c7d1 = L.popup({maxWidth: '300'});

            
                var html_1e500aa2351249d59607fb4c047aaba7 = $('<div id="html_1e500aa2351249d59607fb4c047aaba7" style="width: 100.0%; height: 100.0%;">Chinatown, Grange Park, Kensington Market Cluster 2</div>')[0];
                popup_a24b5cb2609a432e9c8dc53fa7c5c7d1.setContent(html_1e500aa2351249d59607fb4c047aaba7);
            

            circle_marker_6d991b8d478847c490d6a126d44a5ef6.bindPopup(popup_a24b5cb2609a432e9c8dc53fa7c5c7d1);

            
        
    
            var circle_marker_6045bf0c5c294e15adcc7eda02d8dea2 = L.circleMarker(
                [43.7280205,-79.3887901],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_bffdc5ff7b5447e3bf7462e474a3977a = L.popup({maxWidth: '300'});

            
                var html_eb37f515b9c244d99727f7984a016263 = $('<div id="html_eb37f515b9c244d99727f7984a016263" style="width: 100.0%; height: 100.0%;">Lawrence Park Cluster 2</div>')[0];
                popup_bffdc5ff7b5447e3bf7462e474a3977a.setContent(html_eb37f515b9c244d99727f7984a016263);
            

            circle_marker_6045bf0c5c294e15adcc7eda02d8dea2.bindPopup(popup_bffdc5ff7b5447e3bf7462e474a3977a);

            
        
    
            var circle_marker_48f81b4867e9488baa9c571a57a37000 = L.circleMarker(
                [43.6616083,-79.46476329999999],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_2a07e7440902425295ea733de2957b96 = L.popup({maxWidth: '300'});

            
                var html_50643c569a994d6e9281beb18af31b5d = $('<div id="html_50643c569a994d6e9281beb18af31b5d" style="width: 100.0%; height: 100.0%;">High Park, The Junction South Cluster 2</div>')[0];
                popup_2a07e7440902425295ea733de2957b96.setContent(html_50643c569a994d6e9281beb18af31b5d);
            

            circle_marker_48f81b4867e9488baa9c571a57a37000.bindPopup(popup_2a07e7440902425295ea733de2957b96);

            
        
    
            var circle_marker_96dfcf429bae4f50b4917391a3c3ee94 = L.circleMarker(
                [43.6571618,-79.37893709999999],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_a3226c54d5a249dc83097b81a2ca2666 = L.popup({maxWidth: '300'});

            
                var html_a6ec96e33fa04121923a51bcf17464e9 = $('<div id="html_a6ec96e33fa04121923a51bcf17464e9" style="width: 100.0%; height: 100.0%;">Ryerson, Garden District Cluster 2</div>')[0];
                popup_a3226c54d5a249dc83097b81a2ca2666.setContent(html_a6ec96e33fa04121923a51bcf17464e9);
            

            circle_marker_96dfcf429bae4f50b4917391a3c3ee94.bindPopup(popup_a3226c54d5a249dc83097b81a2ca2666);

            
        
    
            var circle_marker_45112d94ef574e18b767dabec6fc3f2a = L.circleMarker(
                [43.6795626,-79.37752940000001],
                {
  "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_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_b46aa2821cc64a5f90358ae2714e27fe = L.popup({maxWidth: '300'});

            
                var html_bb8ce05e0fe749d88b254663a3ff771f = $('<div id="html_bb8ce05e0fe749d88b254663a3ff771f" style="width: 100.0%; height: 100.0%;">Rosedale Cluster 0</div>')[0];
                popup_b46aa2821cc64a5f90358ae2714e27fe.setContent(html_bb8ce05e0fe749d88b254663a3ff771f);
            

            circle_marker_45112d94ef574e18b767dabec6fc3f2a.bindPopup(popup_b46aa2821cc64a5f90358ae2714e27fe);

            
        
    
            var circle_marker_876f2b7e8f3749028a3be9203d408786 = L.circleMarker(
                [43.6795571,-79.352188],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_4c67e654bdaf4e6caf634b9ccbf94412 = L.popup({maxWidth: '300'});

            
                var html_9fe0d57b2416410f9b2c1966795a34dd = $('<div id="html_9fe0d57b2416410f9b2c1966795a34dd" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale Cluster 2</div>')[0];
                popup_4c67e654bdaf4e6caf634b9ccbf94412.setContent(html_9fe0d57b2416410f9b2c1966795a34dd);
            

            circle_marker_876f2b7e8f3749028a3be9203d408786.bindPopup(popup_4c67e654bdaf4e6caf634b9ccbf94412);

            
        
    
            var circle_marker_66785701eb304f86acc5fa067052b2b9 = L.circleMarker(
                [43.6481985,-79.37981690000002],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_2c8181e175a3443c8307fae3a41be5e2 = L.popup({maxWidth: '300'});

            
                var html_15bba3e1e0434eaf8782d596bf050744 = $('<div id="html_15bba3e1e0434eaf8782d596bf050744" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel Cluster 2</div>')[0];
                popup_2c8181e175a3443c8307fae3a41be5e2.setContent(html_15bba3e1e0434eaf8782d596bf050744);
            

            circle_marker_66785701eb304f86acc5fa067052b2b9.bindPopup(popup_2c8181e175a3443c8307fae3a41be5e2);

            
        
    
            var circle_marker_392edce0206c4abc99c3303af95bd2e0 = L.circleMarker(
                [43.6408157,-79.38175229999997],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_b007184f950b43ee931ac78899a26054 = L.popup({maxWidth: '300'});

            
                var html_4f48a02346be4b548935cecd6013ed90 = $('<div id="html_4f48a02346be4b548935cecd6013ed90" style="width: 100.0%; height: 100.0%;">Harbourfront East, Toronto Islands, Union Station Cluster 2</div>')[0];
                popup_b007184f950b43ee931ac78899a26054.setContent(html_4f48a02346be4b548935cecd6013ed90);
            

            circle_marker_392edce0206c4abc99c3303af95bd2e0.bindPopup(popup_b007184f950b43ee931ac78899a26054);

            
        
    
            var circle_marker_5d404551100b4f5c80302e89e003ace7 = L.circleMarker(
                [43.6515706,-79.4844499],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_db86df45d4be4fbc90c4dd5c27dfadb4 = L.popup({maxWidth: '300'});

            
                var html_b29ef71e9753421389682c24e811bda9 = $('<div id="html_b29ef71e9753421389682c24e811bda9" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea Cluster 2</div>')[0];
                popup_db86df45d4be4fbc90c4dd5c27dfadb4.setContent(html_b29ef71e9753421389682c24e811bda9);
            

            circle_marker_5d404551100b4f5c80302e89e003ace7.bindPopup(popup_db86df45d4be4fbc90c4dd5c27dfadb4);

            
        
    
            var circle_marker_75ed047a78b74aa58dc5c9ed1050f80b = L.circleMarker(
                [43.65057120000001,-79.3845675],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_05b7a020c44547e69d3dba6924a1dc85 = L.popup({maxWidth: '300'});

            
                var html_e88307e5196947ac95e630336ab5d923 = $('<div id="html_e88307e5196947ac95e630336ab5d923" style="width: 100.0%; height: 100.0%;">Adelaide, King, Richmond Cluster 2</div>')[0];
                popup_05b7a020c44547e69d3dba6924a1dc85.setContent(html_e88307e5196947ac95e630336ab5d923);
            

            circle_marker_75ed047a78b74aa58dc5c9ed1050f80b.bindPopup(popup_05b7a020c44547e69d3dba6924a1dc85);

            
        
    
            var circle_marker_a9613300c26d471c9202637795ae1623 = L.circleMarker(
                [43.67635739999999,-79.2930312],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_f1dd7ab0e7fe45bd9c8e929c758a8607 = L.popup({maxWidth: '300'});

            
                var html_cf96319c586a440193aed34c56bf3ae2 = $('<div id="html_cf96319c586a440193aed34c56bf3ae2" style="width: 100.0%; height: 100.0%;">The Beaches Cluster 2</div>')[0];
                popup_f1dd7ab0e7fe45bd9c8e929c758a8607.setContent(html_cf96319c586a440193aed34c56bf3ae2);
            

            circle_marker_a9613300c26d471c9202637795ae1623.bindPopup(popup_f1dd7ab0e7fe45bd9c8e929c758a8607);

            
        
    
            var circle_marker_ea4cf22b7e924494bde4d293c1612401 = L.circleMarker(
                [43.667967,-79.3676753],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_0094a4ac54df4623a298755b7439972e = L.popup({maxWidth: '300'});

            
                var html_763f7171083c4ae485d0681169860b27 = $('<div id="html_763f7171083c4ae485d0681169860b27" style="width: 100.0%; height: 100.0%;">Cabbagetown, St. James Town Cluster 2</div>')[0];
                popup_0094a4ac54df4623a298755b7439972e.setContent(html_763f7171083c4ae485d0681169860b27);
            

            circle_marker_ea4cf22b7e924494bde4d293c1612401.bindPopup(popup_0094a4ac54df4623a298755b7439972e);

            
        
    
            var circle_marker_0246c3fa3c084df2b10c55c320ba4cf4 = L.circleMarker(
                [43.6464352,-79.37484599999998],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_0fad436779a740c6b98d4434bc5dce26 = L.popup({maxWidth: '300'});

            
                var html_794a377ec53241368fc5d2d1db78bb37 = $('<div id="html_794a377ec53241368fc5d2d1db78bb37" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade Cluster 2</div>')[0];
                popup_0fad436779a740c6b98d4434bc5dce26.setContent(html_794a377ec53241368fc5d2d1db78bb37);
            

            circle_marker_0246c3fa3c084df2b10c55c320ba4cf4.bindPopup(popup_0fad436779a740c6b98d4434bc5dce26);

            
        
    
            var circle_marker_5d97f386c3c54988a932c92006a66891 = L.circleMarker(
                [43.6484292,-79.3822802],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_bde389f936404af28139cca93af25be0 = L.popup({maxWidth: '300'});

            
                var html_77d7f543211c4192b9d569a9d917d567 = $('<div id="html_77d7f543211c4192b9d569a9d917d567" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city Cluster 2</div>')[0];
                popup_bde389f936404af28139cca93af25be0.setContent(html_77d7f543211c4192b9d569a9d917d567);
            

            circle_marker_5d97f386c3c54988a932c92006a66891.bindPopup(popup_bde389f936404af28139cca93af25be0);

            
        
    
            var circle_marker_5162e64c0fd54d7f8b265e8eaee8878c = L.circleMarker(
                [43.6895743,-79.38315990000002],
                {
  "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
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_7755f4a76bc54ed8953d3c80ef6c4150 = L.popup({maxWidth: '300'});

            
                var html_cfed98fe46f84ab8ac68770191ccebd7 = $('<div id="html_cfed98fe46f84ab8ac68770191ccebd7" style="width: 100.0%; height: 100.0%;">Moore Park, Summerhill East Cluster 1</div>')[0];
                popup_7755f4a76bc54ed8953d3c80ef6c4150.setContent(html_cfed98fe46f84ab8ac68770191ccebd7);
            

            circle_marker_5162e64c0fd54d7f8b265e8eaee8878c.bindPopup(popup_7755f4a76bc54ed8953d3c80ef6c4150);

            
        
    
            var circle_marker_20eb33f651eb496ebf350cb5d73dc7b2 = L.circleMarker(
                [43.6689985,-79.31557159999998],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_104383df36444fdf8f681efa791b3cde = L.popup({maxWidth: '300'});

            
                var html_a402db8322e347229677f64021de3360 = $('<div id="html_a402db8322e347229677f64021de3360" style="width: 100.0%; height: 100.0%;">The Beaches West, India Bazaar Cluster 2</div>')[0];
                popup_104383df36444fdf8f681efa791b3cde.setContent(html_a402db8322e347229677f64021de3360);
            

            circle_marker_20eb33f651eb496ebf350cb5d73dc7b2.bindPopup(popup_104383df36444fdf8f681efa791b3cde);

            
        
    
            var circle_marker_49f452eb2c40432c9f3b3643dca356c3 = L.circleMarker(
                [43.6542599,-79.3606359],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_e98d323e9c7646f1a1c9fbf127129d27 = L.popup({maxWidth: '300'});

            
                var html_6d63d153a0b1405f9d5de1fddd50b44b = $('<div id="html_6d63d153a0b1405f9d5de1fddd50b44b" style="width: 100.0%; height: 100.0%;">Harbourfront, Regent Park Cluster 2</div>')[0];
                popup_e98d323e9c7646f1a1c9fbf127129d27.setContent(html_6d63d153a0b1405f9d5de1fddd50b44b);
            

            circle_marker_49f452eb2c40432c9f3b3643dca356c3.bindPopup(popup_e98d323e9c7646f1a1c9fbf127129d27);

            
        
    
            var circle_marker_4f3f126fd3c94de7aa937c437d21abf1 = L.circleMarker(
                [43.647926700000006,-79.4197497],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_9a0fa0c4fcb64a8f864e4d1a5995733b = L.popup({maxWidth: '300'});

            
                var html_6b7dbbff51ec42d798c353013d47fd1d = $('<div id="html_6b7dbbff51ec42d798c353013d47fd1d" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity Cluster 2</div>')[0];
                popup_9a0fa0c4fcb64a8f864e4d1a5995733b.setContent(html_6b7dbbff51ec42d798c353013d47fd1d);
            

            circle_marker_4f3f126fd3c94de7aa937c437d21abf1.bindPopup(popup_9a0fa0c4fcb64a8f864e4d1a5995733b);

            
        
    
            var circle_marker_012a20c7fd2d4046927d7d86e2d7211c = L.circleMarker(
                [43.6626956,-79.4000493],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_86f4b55689d0415bb149d25bacf1e15f = L.popup({maxWidth: '300'});

            
                var html_4b77505179dd45098d6d27a17ab90100 = $('<div id="html_4b77505179dd45098d6d27a17ab90100" style="width: 100.0%; height: 100.0%;">Harbord, University of Toronto Cluster 2</div>')[0];
                popup_86f4b55689d0415bb149d25bacf1e15f.setContent(html_4b77505179dd45098d6d27a17ab90100);
            

            circle_marker_012a20c7fd2d4046927d7d86e2d7211c.bindPopup(popup_86f4b55689d0415bb149d25bacf1e15f);

            
        
    
            var circle_marker_abe5f6ba2d3641c4a119bcb8cc557036 = L.circleMarker(
                [43.6368472,-79.42819140000002],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_2e7d0b5d42d244a189ceddc5afc244fc = L.popup({maxWidth: '300'});

            
                var html_57461d65f9cf4c5aab395e9270a2fae3 = $('<div id="html_57461d65f9cf4c5aab395e9270a2fae3" style="width: 100.0%; height: 100.0%;">Brockton, Exhibition Place, Parkdale Village Cluster 2</div>')[0];
                popup_2e7d0b5d42d244a189ceddc5afc244fc.setContent(html_57461d65f9cf4c5aab395e9270a2fae3);
            

            circle_marker_abe5f6ba2d3641c4a119bcb8cc557036.bindPopup(popup_2e7d0b5d42d244a189ceddc5afc244fc);

            
        
    
            var circle_marker_47e6e920aed44d3ba644e0deb931256b = L.circleMarker(
                [43.66900510000001,-79.4422593],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_c491d5b075ef485f8ed66669c596014b = L.popup({maxWidth: '300'});

            
                var html_65c1353eeb1040c68ce3c825c924f70e = $('<div id="html_65c1353eeb1040c68ce3c825c924f70e" style="width: 100.0%; height: 100.0%;">Dovercourt Village, Dufferin Cluster 2</div>')[0];
                popup_c491d5b075ef485f8ed66669c596014b.setContent(html_65c1353eeb1040c68ce3c825c924f70e);
            

            circle_marker_47e6e920aed44d3ba644e0deb931256b.bindPopup(popup_c491d5b075ef485f8ed66669c596014b);

            
        
    
            var circle_marker_c619c8079ba1467d937826cc55c2f442 = L.circleMarker(
                [43.6447708,-79.3733064],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_b8de7870000a4921ba108e55d0a1ad20 = L.popup({maxWidth: '300'});

            
                var html_1c8dae9618d740279563eebb08a99d55 = $('<div id="html_1c8dae9618d740279563eebb08a99d55" style="width: 100.0%; height: 100.0%;">Berczy Park Cluster 2</div>')[0];
                popup_b8de7870000a4921ba108e55d0a1ad20.setContent(html_1c8dae9618d740279563eebb08a99d55);
            

            circle_marker_c619c8079ba1467d937826cc55c2f442.bindPopup(popup_b8de7870000a4921ba108e55d0a1ad20);

            
        
    
            var circle_marker_46d98b1a708542dbb5c15fada924937f = L.circleMarker(
                [43.6471768,-79.38157640000001],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_cbf15ecee7be4168ba495137cd1f01d4 = L.popup({maxWidth: '300'});

            
                var html_52cf3a8a618f45beab0ba4922289400c = $('<div id="html_52cf3a8a618f45beab0ba4922289400c" style="width: 100.0%; height: 100.0%;">Design Exchange, Toronto Dominion Centre Cluster 2</div>')[0];
                popup_cbf15ecee7be4168ba495137cd1f01d4.setContent(html_52cf3a8a618f45beab0ba4922289400c);
            

            circle_marker_46d98b1a708542dbb5c15fada924937f.bindPopup(popup_cbf15ecee7be4168ba495137cd1f01d4);

            
        
    
            var circle_marker_a5138895af064f4ebfccf677834632d5 = L.circleMarker(
                [43.6969476,-79.41130720000002],
                {
  "bubblingMouseEvents": true,
  "color": "#b2f396",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#b2f396",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_4170f0d18faa4b96bbfc271d40fc1f1a = L.popup({maxWidth: '300'});

            
                var html_3d79430f61ae4318bc679ade1435ce62 = $('<div id="html_3d79430f61ae4318bc679ade1435ce62" style="width: 100.0%; height: 100.0%;">Forest Hill North, Forest Hill West Cluster 4</div>')[0];
                popup_4170f0d18faa4b96bbfc271d40fc1f1a.setContent(html_3d79430f61ae4318bc679ade1435ce62);
            

            circle_marker_a5138895af064f4ebfccf677834632d5.bindPopup(popup_4170f0d18faa4b96bbfc271d40fc1f1a);

            
        
    
            var circle_marker_6134e3e9eb4f433c802e4ee52c0c7493 = L.circleMarker(
                [43.6514939,-79.3754179],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_4651ab9fe3214a37883a0443861b8593 = L.popup({maxWidth: '300'});

            
                var html_34a25bfaf77141b49a63046e2f58eaf8 = $('<div id="html_34a25bfaf77141b49a63046e2f58eaf8" style="width: 100.0%; height: 100.0%;">St. James Town Cluster 2</div>')[0];
                popup_4651ab9fe3214a37883a0443861b8593.setContent(html_34a25bfaf77141b49a63046e2f58eaf8);
            

            circle_marker_6134e3e9eb4f433c802e4ee52c0c7493.bindPopup(popup_4651ab9fe3214a37883a0443861b8593);

            
        
    
            var circle_marker_5d388152ee3e42c7b62b03d6b435bda9 = L.circleMarker(
                [43.68641229999999,-79.4000493],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_3388e9b03d594abe94e2a70cef5f0283 = L.popup({maxWidth: '300'});

            
                var html_971f4fd8ba0c438282b371a82a79b69a = $('<div id="html_971f4fd8ba0c438282b371a82a79b69a" style="width: 100.0%; height: 100.0%;">Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West Cluster 2</div>')[0];
                popup_3388e9b03d594abe94e2a70cef5f0283.setContent(html_971f4fd8ba0c438282b371a82a79b69a);
            

            circle_marker_5d388152ee3e42c7b62b03d6b435bda9.bindPopup(popup_3388e9b03d594abe94e2a70cef5f0283);

            
        
    
            var circle_marker_8214399a5ddd487fae621d60fbaa1aef = L.circleMarker(
                [43.7127511,-79.3901975],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_486704b6579840dfa761c3f468ef2bea = L.popup({maxWidth: '300'});

            
                var html_3ed1a929599b4f19b54297483b36fb8f = $('<div id="html_3ed1a929599b4f19b54297483b36fb8f" style="width: 100.0%; height: 100.0%;">Davisville North Cluster 2</div>')[0];
                popup_486704b6579840dfa761c3f468ef2bea.setContent(html_3ed1a929599b4f19b54297483b36fb8f);
            

            circle_marker_8214399a5ddd487fae621d60fbaa1aef.bindPopup(popup_486704b6579840dfa761c3f468ef2bea);

            
        
    
            var circle_marker_022993d517e7451b8f9310ce8d3c02ad = L.circleMarker(
                [43.6658599,-79.38315990000002],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_ae65fd904b724ba69fbf19bca2c811fb = L.popup({maxWidth: '300'});

            
                var html_c69efb5132344096a45aaa11a73af797 = $('<div id="html_c69efb5132344096a45aaa11a73af797" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 2</div>')[0];
                popup_ae65fd904b724ba69fbf19bca2c811fb.setContent(html_c69efb5132344096a45aaa11a73af797);
            

            circle_marker_022993d517e7451b8f9310ce8d3c02ad.bindPopup(popup_ae65fd904b724ba69fbf19bca2c811fb);

            
        
    
            var circle_marker_79a3d4921a3249ce99dea7e2b6bc028c = L.circleMarker(
                [43.6627439,-79.321558],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_7d781974c4c14e5bb7394d35e1ac3507 = L.popup({maxWidth: '300'});

            
                var html_33f8bb03394246918021c9aa60421674 = $('<div id="html_33f8bb03394246918021c9aa60421674" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern Cluster 2</div>')[0];
                popup_7d781974c4c14e5bb7394d35e1ac3507.setContent(html_33f8bb03394246918021c9aa60421674);
            

            circle_marker_79a3d4921a3249ce99dea7e2b6bc028c.bindPopup(popup_7d781974c4c14e5bb7394d35e1ac3507);

            
        
    
            var circle_marker_5d14dff34b204279b619a7088e7f800d = L.circleMarker(
                [43.6595255,-79.340923],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_6dd13cdebc2a489796acd78808332e43 = L.popup({maxWidth: '300'});

            
                var html_baf90c3d96974a35b74e76a33d976c5b = $('<div id="html_baf90c3d96974a35b74e76a33d976c5b" style="width: 100.0%; height: 100.0%;">Studio District Cluster 2</div>')[0];
                popup_6dd13cdebc2a489796acd78808332e43.setContent(html_baf90c3d96974a35b74e76a33d976c5b);
            

            circle_marker_5d14dff34b204279b619a7088e7f800d.bindPopup(popup_6dd13cdebc2a489796acd78808332e43);

            
        
    
            var circle_marker_e77e3cdfd6494fd0b5f990553c5a8036 = L.circleMarker(
                [43.669542,-79.4225637],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_85c997d26986445fbe5f05b0dd7e5107 = L.popup({maxWidth: '300'});

            
                var html_6cc4e9249d2c4d49b0d3c006a5f305a6 = $('<div id="html_6cc4e9249d2c4d49b0d3c006a5f305a6" style="width: 100.0%; height: 100.0%;">Christie Cluster 2</div>')[0];
                popup_85c997d26986445fbe5f05b0dd7e5107.setContent(html_6cc4e9249d2c4d49b0d3c006a5f305a6);
            

            circle_marker_e77e3cdfd6494fd0b5f990553c5a8036.bindPopup(popup_85c997d26986445fbe5f05b0dd7e5107);

            
        
    
            var circle_marker_09ad6c7d58844692a928f16b773d7886 = L.circleMarker(
                [43.7116948,-79.41693559999999],
                {
  "bubblingMouseEvents": true,
  "color": "#4df3ce",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#4df3ce",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_285d36deaa604187923550ea4e33f76b = L.popup({maxWidth: '300'});

            
                var html_39287ed1f6704a289a4b0e0766f36ab9 = $('<div id="html_39287ed1f6704a289a4b0e0766f36ab9" style="width: 100.0%; height: 100.0%;">Roselawn Cluster 3</div>')[0];
                popup_285d36deaa604187923550ea4e33f76b.setContent(html_39287ed1f6704a289a4b0e0766f36ab9);
            

            circle_marker_09ad6c7d58844692a928f16b773d7886.bindPopup(popup_285d36deaa604187923550ea4e33f76b);

            
        
    
            var circle_marker_098c86d6868c4c31ae2fe65704a34eef = L.circleMarker(
                [43.6489597,-79.456325],
                {
  "bubblingMouseEvents": true,
  "color": "#1996f3",
  "dashArray": null,
  "dashOffset": null,
  "fill": true,
  "fillColor": "#1996f3",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_45d36fa48fd640ebbfddf2d7d0017d39);
            
    
            var popup_a65176d1c5ee4cd98e6e874b16ff5c8c = L.popup({maxWidth: '300'});

            
                var html_1c8b8e6033134335af59232dc2b74523 = $('<div id="html_1c8b8e6033134335af59232dc2b74523" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles Cluster 2</div>')[0];
                popup_a65176d1c5ee4cd98e6e874b16ff5c8c.setContent(html_1c8b8e6033134335af59232dc2b74523);
            

            circle_marker_098c86d6868c4c31ae2fe65704a34eef.bindPopup(popup_a65176d1c5ee4cd98e6e874b16ff5c8c);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f0efd3cdcc0>"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "kclusters = kclusters + 1\n",
    "\n",
    "# set color scheme for the clusters\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",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(Toronto_combined['Latitude'],\n",
    "                                  Toronto_combined['Longitude'],\n",
    "                                  Toronto_combined['Neighborhood'],\n",
    "                                  Toronto_combined['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": [
    "# Analyze clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cluster 1\n",
    "\n",
    "Cluster 1 contains many restaurants and diners, as well as some other services, like bus and train stations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "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>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>9</th>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Music Venue</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  1st Most Common Venue 2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "9                  Park            Playground                 Trail   \n",
       "\n",
       "  4th Most Common Venue 5th Most Common Venue 6th Most Common Venue  \\\n",
       "9   American Restaurant    Airport Food Court          Airport Gate   \n",
       "\n",
       "  7th Most Common Venue 8th Most Common Venue 9th Most Common Venue  \\\n",
       "9        Airport Lounge       Airport Service      Airport Terminal   \n",
       "\n",
       "  10th Most Common Venue  \n",
       "9            Music Venue  "
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_combined.loc[Toronto_combined['Cluster Labels'] == 0, \n",
    "                     \"1st Most Common Venue\":\"10th Most Common Venue\"].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cluster 2\n",
    "\n",
    "Cluster 2 seems to be dominated by banks, music venues and airport facilities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "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>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>19</th>\n",
       "      <td>Gym</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Art Museum</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Antique Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Airport Terminal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   1st Most Common Venue 2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "19                   Gym            Playground           Music Venue   \n",
       "\n",
       "   4th Most Common Venue 5th Most Common Venue 6th Most Common Venue  \\\n",
       "19     Accessories Store            Art Museum           Art Gallery   \n",
       "\n",
       "   7th Most Common Venue 8th Most Common Venue 9th Most Common Venue  \\\n",
       "19              Aquarium          Antique Shop   American Restaurant   \n",
       "\n",
       "   10th Most Common Venue  \n",
       "19       Airport Terminal  "
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_combined.loc[Toronto_combined['Cluster Labels'] == 1, \n",
    "                     \"1st Most Common Venue\":\"10th Most Common Venue\"].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cluster 3\n",
    "\n",
    "Cluster 3 is mostly linked to open areas for sport and children"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "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>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>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Boutique</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  1st Most Common Venue 2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "0                  Café        Sandwich Place           Coffee Shop   \n",
       "1           Coffee Shop                  Café    Italian Restaurant   \n",
       "2          Dessert Shop        Sandwich Place            Restaurant   \n",
       "3        Airport Lounge      Airport Terminal       Airport Service   \n",
       "4   Sporting Goods Shop           Coffee Shop          Dessert Shop   \n",
       "\n",
       "  4th Most Common Venue    5th Most Common Venue 6th Most Common Venue  \\\n",
       "0           Pizza Place                     Park          Liquor Store   \n",
       "1       Bubble Tea Shop             Burger Joint                   Bar   \n",
       "2    Italian Restaurant                     Café      Sushi Restaurant   \n",
       "3          Airport Gate                  Airport       Harbor / Marina   \n",
       "4             Pet Store  Health & Beauty Service         Grocery Store   \n",
       "\n",
       "       7th Most Common Venue 8th Most Common Venue 9th Most Common Venue  \\\n",
       "0          Convenience Store        Cosmetics Shop                   Pub   \n",
       "1  Middle Eastern Restaurant      Sushi Restaurant           Salad Place   \n",
       "2                Coffee Shop           Pizza Place   Japanese Restaurant   \n",
       "3              Boat or Ferry                 Plane    Airport Food Court   \n",
       "4         Salon / Barbershop  Fast Food Restaurant        Clothing Store   \n",
       "\n",
       "  10th Most Common Venue  \n",
       "0    American Restaurant  \n",
       "1         Sandwich Place  \n",
       "2     Seafood Restaurant  \n",
       "3               Boutique  \n",
       "4            Yoga Studio  "
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_combined.loc[Toronto_combined['Cluster Labels'] == 2, \n",
    "                     \"1st Most Common Venue\":\"10th Most Common Venue\"].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cluster 4\n",
    "\n",
    "Cluster 4 is the most homogeneous one (it only contains two neighborhoods) and seems to be dominated by the Baseball field"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "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>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>36</th>\n",
       "      <td>Garden</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Antique Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Service</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   1st Most Common Venue 2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "36                Garden          Home Service           Music Venue   \n",
       "\n",
       "   4th Most Common Venue 5th Most Common Venue 6th Most Common Venue  \\\n",
       "36     Accessories Store           Art Gallery              Aquarium   \n",
       "\n",
       "   7th Most Common Venue 8th Most Common Venue 9th Most Common Venue  \\\n",
       "36          Antique Shop   American Restaurant      Airport Terminal   \n",
       "\n",
       "   10th Most Common Venue  \n",
       "36        Airport Service  "
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_combined.loc[Toronto_combined['Cluster Labels'] == 3, \n",
    "                     \"1st Most Common Venue\":\"10th Most Common Venue\"].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cluster 5\n",
    "\n",
    "Cluster 5 is characterized by shops and restaurants"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "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>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>28</th>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   1st Most Common Venue 2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "28    Mexican Restaurant         Jewelry Store                 Trail   \n",
       "\n",
       "   4th Most Common Venue 5th Most Common Venue 6th Most Common Venue  \\\n",
       "28      Sushi Restaurant           Music Venue               Airport   \n",
       "\n",
       "   7th Most Common Venue 8th Most Common Venue 9th Most Common Venue  \\\n",
       "28    Airport Food Court          Airport Gate        Airport Lounge   \n",
       "\n",
       "   10th Most Common Venue  \n",
       "28        Airport Service  "
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_combined.loc[Toronto_combined['Cluster Labels'] == 4, \n",
    "                     \"1st Most Common Venue\":\"10th Most Common Venue\"].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}