Final Capstone Project.ipynb

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   "source": [
    "# IBM DATA SCIENCE CAPSTONE PROJECT\n",
    "Eduardo Andre Cuya Nizama"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import requests\n",
    "import json\n",
    "from pandas.io.json import json_normalize\n",
    "import geopy.geocoders\n",
    "import folium"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import data from week 3"
   ]
  },
  {
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   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
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       "  PostalCode      Borough                            Neighborhood   Latitude  \\\n",
       "0        M1B  Scarborough                          Rouge, Malvern  43.806686   \n",
       "1        M1C  Scarborough  Highland Creek, Rouge Hill, Port Union  43.784535   \n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill  43.763573   \n",
       "3        M1G  Scarborough                                  Woburn  43.770992   \n",
       "4        M1H  Scarborough                               Cedarbrae  43.773136   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.194353  \n",
       "1 -79.160497  \n",
       "2 -79.188711  \n",
       "3 -79.216917  \n",
       "4 -79.239476  "
      ]
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     "execution_count": 3,
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   "source": [
    "data_toronto = pd.read_csv(\"TorontoData.csv\")\n",
    "data_toronto.drop(labels=\"Unnamed: 0\",axis=1,inplace=True)\n",
    "data_toronto.head()"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filtering Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\EDUARDOANDRECUYANIZA\\Anaconda3\\lib\\site-packages\\pandas\\core\\frame.py:3694: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  errors=errors)\n"
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       "      <td>M1B</td>\n",
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       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
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       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
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       "      <td>M1G</td>\n",
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       "      <td>M1H</td>\n",
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       "  PostalCode      Borough                            Neighborhood   Latitude  \\\n",
       "0        M1B  Scarborough                          Rouge, Malvern  43.806686   \n",
       "1        M1C  Scarborough  Highland Creek, Rouge Hill, Port Union  43.784535   \n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill  43.763573   \n",
       "3        M1G  Scarborough                                  Woburn  43.770992   \n",
       "4        M1H  Scarborough                               Cedarbrae  43.773136   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.194353  \n",
       "1 -79.160497  \n",
       "2 -79.188711  \n",
       "3 -79.216917  \n",
       "4 -79.239476  "
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   "source": [
    "final_data = data_toronto[(data_toronto['Borough']=='Downtown Toronto') | \n",
    "               (data_toronto['Borough']=='East Toronto') | \n",
    "               (data_toronto['Borough']=='West Toronto')|\n",
    "               (data_toronto['Borough']=='Central Toronto')|\n",
    "              (data_toronto['Borough'] == 'Scarborough')]\n",
    "\n",
    "final_data.reset_index(inplace=True)\n",
    "final_data.drop('index',1,inplace=True)\n",
    "final_data.head()"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ploting initial data "
   ]
  },
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   "cell_type": "code",
   "execution_count": 5,
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            var popup_1d6303a5cb4b4461baeb91c50e9c52bd = L.popup({maxWidth: '300'});

            
                var html_ec7a51d2cef742aa86a611c3c6f1c379 = $('<div id="html_ec7a51d2cef742aa86a611c3c6f1c379" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city, Downtown Toronto</div>')[0];
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            var popup_005b586d89da4a20bcc005586f3a7662 = L.popup({maxWidth: '300'});

            
                var html_63c8602cac41443ead8264b0496cf0e6 = $('<div id="html_63c8602cac41443ead8264b0496cf0e6" style="width: 100.0%; height: 100.0%;">Christie, Downtown Toronto</div>')[0];
                popup_005b586d89da4a20bcc005586f3a7662.setContent(html_63c8602cac41443ead8264b0496cf0e6);
            

            circle_marker_cba8b58449674b6aa0e3a7530c660c00.bindPopup(popup_005b586d89da4a20bcc005586f3a7662);

            
        
    
            var circle_marker_dc41684f7b9e4311ab3c4966dbc20f46 = L.circleMarker(
                [43.66900510000001,-79.4422593],
                {
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            var popup_1874c768eb7940dab37ad936d1dbaf5e = L.popup({maxWidth: '300'});

            
                var html_c97296be70244171b7d884107d3dd2d5 = $('<div id="html_c97296be70244171b7d884107d3dd2d5" style="width: 100.0%; height: 100.0%;">Dovercourt Village, Dufferin, West Toronto</div>')[0];
                popup_1874c768eb7940dab37ad936d1dbaf5e.setContent(html_c97296be70244171b7d884107d3dd2d5);
            

            circle_marker_dc41684f7b9e4311ab3c4966dbc20f46.bindPopup(popup_1874c768eb7940dab37ad936d1dbaf5e);

            
        
    
            var circle_marker_728c972d8ec14b328ddcadaa60c5ae1e = L.circleMarker(
                [43.647926700000006,-79.4197497],
                {
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                ).addTo(map_3b3f43111deb409a904b0d041dbb60a3);
            
    
            var popup_e2c873132d834156ada555f8a33fefe1 = L.popup({maxWidth: '300'});

            
                var html_1827cdf4869b41538334cf7f3e1b0342 = $('<div id="html_1827cdf4869b41538334cf7f3e1b0342" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity, West Toronto</div>')[0];
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            circle_marker_728c972d8ec14b328ddcadaa60c5ae1e.bindPopup(popup_e2c873132d834156ada555f8a33fefe1);

            
        
    
            var circle_marker_a41a917f18a24651aba4973071e85753 = L.circleMarker(
                [43.6368472,-79.42819140000002],
                {
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            var popup_f4e8297bc9f64ddbbebb4052eac3330a = L.popup({maxWidth: '300'});

            
                var html_73aaf7cb166c4bca9e755f82b0424954 = $('<div id="html_73aaf7cb166c4bca9e755f82b0424954" style="width: 100.0%; height: 100.0%;">Brockton, Exhibition Place, Parkdale Village, West Toronto</div>')[0];
                popup_f4e8297bc9f64ddbbebb4052eac3330a.setContent(html_73aaf7cb166c4bca9e755f82b0424954);
            

            circle_marker_a41a917f18a24651aba4973071e85753.bindPopup(popup_f4e8297bc9f64ddbbebb4052eac3330a);

            
        
    
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                {
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                ).addTo(map_3b3f43111deb409a904b0d041dbb60a3);
            
    
            var popup_b4edded2bc9542e8b3f1575fd9be5150 = L.popup({maxWidth: '300'});

            
                var html_3473d4308a1f4b31b8cf413bcfb3feba = $('<div id="html_3473d4308a1f4b31b8cf413bcfb3feba" style="width: 100.0%; height: 100.0%;">High Park, The Junction South, West Toronto</div>')[0];
                popup_b4edded2bc9542e8b3f1575fd9be5150.setContent(html_3473d4308a1f4b31b8cf413bcfb3feba);
            

            circle_marker_e98ccd0fa2e64b5aa02d3415de3652e6.bindPopup(popup_b4edded2bc9542e8b3f1575fd9be5150);

            
        
    
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                ).addTo(map_3b3f43111deb409a904b0d041dbb60a3);
            
    
            var popup_be46a4957d694b75b120665b7968ca28 = L.popup({maxWidth: '300'});

            
                var html_6ef5ed67f85b4152ab5a0d60a4146114 = $('<div id="html_6ef5ed67f85b4152ab5a0d60a4146114" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles, West Toronto</div>')[0];
                popup_be46a4957d694b75b120665b7968ca28.setContent(html_6ef5ed67f85b4152ab5a0d60a4146114);
            

            circle_marker_4a64bce86d48472a9e35f7f334844e50.bindPopup(popup_be46a4957d694b75b120665b7968ca28);

            
        
    
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                {
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                ).addTo(map_3b3f43111deb409a904b0d041dbb60a3);
            
    
            var popup_5e476c81ffaa4b18861c0c28a020e2f5 = L.popup({maxWidth: '300'});

            
                var html_c129ffd775e3488ba785ea5020866e71 = $('<div id="html_c129ffd775e3488ba785ea5020866e71" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea, West Toronto</div>')[0];
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            circle_marker_f1f782e14f724067aabbfe27aca6cf0a.bindPopup(popup_5e476c81ffaa4b18861c0c28a020e2f5);

            
        
    
            var circle_marker_dea0e7a8041c4ba7bf5d844f15d74e17 = L.circleMarker(
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                {
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                ).addTo(map_3b3f43111deb409a904b0d041dbb60a3);
            
    
            var popup_426d737ae2554644b24a6ce3ab119453 = L.popup({maxWidth: '300'});

            
                var html_64de475244744ce1a25306c1302cc24f = $('<div id="html_64de475244744ce1a25306c1302cc24f" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre969 Eastern, East Toronto</div>')[0];
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            circle_marker_dea0e7a8041c4ba7bf5d844f15d74e17.bindPopup(popup_426d737ae2554644b24a6ce3ab119453);

            
        
</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 0x2855fe1bcf8>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_latitude = 43.6932; toronto_longitude = -79.3832\n",
    "map_toronto = folium.Map(location = [toronto_latitude, toronto_longitude], zoom_start = 10.7)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(final_data['Latitude'], final_data['Longitude'], final_data['Borough'], final_data['Neighborhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7).add_to(map_toronto)  \n",
    "    \n",
    "\n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Accessing Foursquare API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: SLRZJRDSKV4D1X2R4NLVBGWLPSMZH0OKQ2EVUUEMAOXKILST\n",
      "CLIENT_SECRET:1JYD1PLEET5TYIQ1LRSA30OF0VC35NTDURKJCCH5DBQKNZCW\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'SLRZJRDSKV4D1X2R4NLVBGWLPSMZH0OKQ2EVUUEMAOXKILST' # your Foursquare ID\n",
    "CLIENT_SECRET = '1JYD1PLEET5TYIQ1LRSA30OF0VC35NTDURKJCCH5DBQKNZCW' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting nearby Venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\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": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rouge, Malvern\n",
      "Highland Creek, Rouge Hill, Port Union\n",
      "Guildwood, Morningside, West Hill\n",
      "Woburn\n",
      "Cedarbrae\n",
      "Scarborough Village\n",
      "East Birchmount Park, Ionview, Kennedy Park\n",
      "Clairlea, Golden Mile, Oakridge\n",
      "Cliffcrest, Cliffside, Scarborough Village West\n",
      "Birch Cliff, Cliffside West\n",
      "Dorset Park, Scarborough Town Centre, Wexford Heights\n",
      "Maryvale, Wexford\n",
      "Agincourt\n",
      "Clarks Corners, Sullivan, Tam O'Shanter\n",
      "Agincourt North, L'Amoreaux East, Milliken, Steeles East\n",
      "L'Amoreaux West, Steeles West\n",
      "Upper Rouge\n",
      "The Beaches\n",
      "The Danforth West, Riverdale\n",
      "The Beaches West, India Bazaar\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Davisville North\n",
      "North Toronto West\n",
      "Davisville\n",
      "Moore Park, Summerhill East\n",
      "Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West\n",
      "Rosedale\n",
      "Cabbagetown, St. James Town\n",
      "Church and Wellesley\n",
      "Harbourfront, Regent Park\n",
      "Ryerson, Garden District\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Adelaide, King, Richmond\n",
      "Harbourfront East, Toronto Islands, Union Station\n",
      "Design Exchange, Toronto Dominion Centre\n",
      "Commerce Court, Victoria Hotel\n",
      "Roselawn\n",
      "Forest Hill North, Forest Hill West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Harbord, University of Toronto\n",
      "Chinatown, Grange Park, Kensington Market\n",
      "CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "First Canadian Place, Underground city\n",
      "Christie\n",
      "Dovercourt Village, Dufferin\n",
      "Little Portugal, Trinity\n",
      "Brockton, Exhibition Place, Parkdale Village\n",
      "High Park, The Junction South\n",
      "Parkdale, Roncesvalles\n",
      "Runnymede, Swansea\n",
      "Business reply mail Processing Centre969 Eastern\n"
     ]
    }
   ],
   "source": [
    "LIMIT = 100\n",
    "radius= 500\n",
    "Toronto_venues = getNearbyVenues(names=final_data['Neighborhood'],\n",
    "                                   latitudes=final_data['Latitude'],\n",
    "                                   longitudes=final_data['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1791, 7)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_venues.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Adult Boutique</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>...</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Agincourt</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Agincourt North, L'Amoreaux East, Milliken, St...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Birch Cliff, Cliffside West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Business reply mail Processing Centre969 Eastern</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.052083</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.052083</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Christie</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Clarks Corners, Sullivan, Tam O'Shanter</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Cliffcrest, Cliffside, Scarborough Village West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Davisville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.027778</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Davisville North</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Dorset Park, Scarborough Town Centre, Wexford ...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Dovercourt Village, Dufferin</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>East Birchmount Park, Ionview, Kennedy Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.142857</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Forest Hill North, Forest Hill West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Harbord, University of Toronto</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>L'Amoreaux West, Steeles West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>0.015385</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015385</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030769</td>\n",
       "      <td>0.015385</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Maryvale, Wexford</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.027778</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>0.010638</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.010638</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Studio District</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.038462</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>0.023810</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.02381</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Woburn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>54 rows × 240 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Yoga Studio  \\\n",
       "0                            Adelaide, King, Richmond     0.000000   \n",
       "1                                           Agincourt     0.000000   \n",
       "2   Agincourt North, L'Amoreaux East, Milliken, St...     0.000000   \n",
       "3                                         Berczy Park     0.000000   \n",
       "4                         Birch Cliff, Cliffside West     0.000000   \n",
       "5        Brockton, Exhibition Place, Parkdale Village     0.000000   \n",
       "6    Business reply mail Processing Centre969 Eastern     0.052632   \n",
       "7   CN Tower, Bathurst Quay, Island airport, Harbo...     0.000000   \n",
       "8                         Cabbagetown, St. James Town     0.000000   \n",
       "9                                           Cedarbrae     0.000000   \n",
       "10                                 Central Bay Street     0.012195   \n",
       "11          Chinatown, Grange Park, Kensington Market     0.000000   \n",
       "12                                           Christie     0.000000   \n",
       "13                               Church and Wellesley     0.011765   \n",
       "14                    Clairlea, Golden Mile, Oakridge     0.000000   \n",
       "15            Clarks Corners, Sullivan, Tam O'Shanter     0.000000   \n",
       "16    Cliffcrest, Cliffside, Scarborough Village West     0.000000   \n",
       "17                     Commerce Court, Victoria Hotel     0.000000   \n",
       "18                                         Davisville     0.000000   \n",
       "19                                   Davisville North     0.000000   \n",
       "20  Deer Park, Forest Hill SE, Rathnelly, South Hi...     0.000000   \n",
       "21           Design Exchange, Toronto Dominion Centre     0.000000   \n",
       "22  Dorset Park, Scarborough Town Centre, Wexford ...     0.000000   \n",
       "23                       Dovercourt Village, Dufferin     0.000000   \n",
       "24        East Birchmount Park, Ionview, Kennedy Park     0.000000   \n",
       "25             First Canadian Place, Underground city     0.000000   \n",
       "26                Forest Hill North, Forest Hill West     0.000000   \n",
       "27                  Guildwood, Morningside, West Hill     0.000000   \n",
       "28                     Harbord, University of Toronto     0.000000   \n",
       "29  Harbourfront East, Toronto Islands, Union Station     0.000000   \n",
       "30                          Harbourfront, Regent Park     0.000000   \n",
       "31                      High Park, The Junction South     0.000000   \n",
       "32             Highland Creek, Rouge Hill, Port Union     0.000000   \n",
       "33                      L'Amoreaux West, Steeles West     0.000000   \n",
       "34                                      Lawrence Park     0.000000   \n",
       "35                           Little Portugal, Trinity     0.015385   \n",
       "36                                  Maryvale, Wexford     0.000000   \n",
       "37                        Moore Park, Summerhill East     0.000000   \n",
       "38                                 North Toronto West     0.047619   \n",
       "39                             Parkdale, Roncesvalles     0.000000   \n",
       "40                                           Rosedale     0.000000   \n",
       "41                                           Roselawn     0.000000   \n",
       "42                                     Rouge, Malvern     0.000000   \n",
       "43                                 Runnymede, Swansea     0.000000   \n",
       "44                           Ryerson, Garden District     0.000000   \n",
       "45                                Scarborough Village     0.000000   \n",
       "46                                     St. James Town     0.010000   \n",
       "47                    Stn A PO Boxes 25 The Esplanade     0.010638   \n",
       "48                                    Studio District     0.024390   \n",
       "49                The Annex, North Midtown, Yorkville     0.000000   \n",
       "50                                        The Beaches     0.000000   \n",
       "51                     The Beaches West, India Bazaar     0.000000   \n",
       "52                       The Danforth West, Riverdale     0.023810   \n",
       "53                                             Woburn     0.000000   \n",
       "\n",
       "    Adult Boutique  Afghan Restaurant   Airport  Airport Food Court  \\\n",
       "0         0.000000           0.000000  0.000000            0.000000   \n",
       "1         0.000000           0.000000  0.000000            0.000000   \n",
       "2         0.000000           0.000000  0.000000            0.000000   \n",
       "3         0.000000           0.000000  0.000000            0.000000   \n",
       "4         0.000000           0.000000  0.000000            0.000000   \n",
       "5         0.000000           0.000000  0.000000            0.000000   \n",
       "6         0.000000           0.000000  0.000000            0.000000   \n",
       "7         0.000000           0.000000  0.071429            0.071429   \n",
       "8         0.000000           0.000000  0.000000            0.000000   \n",
       "9         0.000000           0.000000  0.000000            0.000000   \n",
       "10        0.000000           0.000000  0.000000            0.000000   \n",
       "11        0.000000           0.000000  0.000000            0.000000   \n",
       "12        0.000000           0.000000  0.000000            0.000000   \n",
       "13        0.011765           0.011765  0.000000            0.000000   \n",
       "14        0.000000           0.000000  0.000000            0.000000   \n",
       "15        0.000000           0.000000  0.000000            0.000000   \n",
       "16        0.000000           0.000000  0.000000            0.000000   \n",
       "17        0.000000           0.000000  0.000000            0.000000   \n",
       "18        0.000000           0.000000  0.000000            0.000000   \n",
       "19        0.000000           0.000000  0.000000            0.000000   \n",
       "20        0.000000           0.000000  0.000000            0.000000   \n",
       "21        0.000000           0.000000  0.000000            0.000000   \n",
       "22        0.000000           0.000000  0.000000            0.000000   \n",
       "23        0.000000           0.000000  0.000000            0.000000   \n",
       "24        0.000000           0.000000  0.000000            0.000000   \n",
       "25        0.000000           0.000000  0.000000            0.000000   \n",
       "26        0.000000           0.000000  0.000000            0.000000   \n",
       "27        0.000000           0.000000  0.000000            0.000000   \n",
       "28        0.000000           0.000000  0.000000            0.000000   \n",
       "29        0.000000           0.000000  0.000000            0.000000   \n",
       "30        0.000000           0.000000  0.000000            0.000000   \n",
       "31        0.000000           0.000000  0.000000            0.000000   \n",
       "32        0.000000           0.000000  0.000000            0.000000   \n",
       "33        0.000000           0.000000  0.000000            0.000000   \n",
       "34        0.000000           0.000000  0.000000            0.000000   \n",
       "35        0.000000           0.000000  0.000000            0.000000   \n",
       "36        0.000000           0.000000  0.000000            0.000000   \n",
       "37        0.000000           0.000000  0.000000            0.000000   \n",
       "38        0.000000           0.000000  0.000000            0.000000   \n",
       "39        0.000000           0.000000  0.000000            0.000000   \n",
       "40        0.000000           0.000000  0.000000            0.000000   \n",
       "41        0.000000           0.000000  0.000000            0.000000   \n",
       "42        0.000000           0.000000  0.000000            0.000000   \n",
       "43        0.000000           0.000000  0.000000            0.000000   \n",
       "44        0.000000           0.000000  0.000000            0.000000   \n",
       "45        0.000000           0.000000  0.000000            0.000000   \n",
       "46        0.000000           0.000000  0.000000            0.000000   \n",
       "47        0.000000           0.000000  0.000000            0.000000   \n",
       "48        0.000000           0.000000  0.000000            0.000000   \n",
       "49        0.000000           0.000000  0.000000            0.000000   \n",
       "50        0.000000           0.000000  0.000000            0.000000   \n",
       "51        0.000000           0.000000  0.000000            0.000000   \n",
       "52        0.000000           0.000000  0.000000            0.000000   \n",
       "53        0.000000           0.000000  0.000000            0.000000   \n",
       "\n",
       "    Airport Gate  Airport Lounge  Airport Service  Airport Terminal  \\\n",
       "0       0.000000        0.000000         0.000000          0.000000   \n",
       "1       0.000000        0.000000         0.000000          0.000000   \n",
       "2       0.000000        0.000000         0.000000          0.000000   \n",
       "3       0.000000        0.000000         0.000000          0.000000   \n",
       "4       0.000000        0.000000         0.000000          0.000000   \n",
       "5       0.000000        0.000000         0.000000          0.000000   \n",
       "6       0.000000        0.000000         0.000000          0.000000   \n",
       "7       0.071429        0.142857         0.142857          0.142857   \n",
       "8       0.000000        0.000000         0.000000          0.000000   \n",
       "9       0.000000        0.000000         0.000000          0.000000   \n",
       "10      0.000000        0.000000         0.000000          0.000000   \n",
       "11      0.000000        0.000000         0.000000          0.000000   \n",
       "12      0.000000        0.000000         0.000000          0.000000   \n",
       "13      0.000000        0.000000         0.000000          0.000000   \n",
       "14      0.000000        0.000000         0.000000          0.000000   \n",
       "15      0.000000        0.000000         0.000000          0.000000   \n",
       "16      0.000000        0.000000         0.000000          0.000000   \n",
       "17      0.000000        0.000000         0.000000          0.000000   \n",
       "18      0.000000        0.000000         0.000000          0.000000   \n",
       "19      0.000000        0.000000         0.000000          0.000000   \n",
       "20      0.000000        0.000000         0.000000          0.000000   \n",
       "21      0.000000        0.000000         0.000000          0.000000   \n",
       "22      0.000000        0.000000         0.000000          0.000000   \n",
       "23      0.000000        0.000000         0.000000          0.000000   \n",
       "24      0.000000        0.000000         0.000000          0.000000   \n",
       "25      0.000000        0.000000         0.000000          0.000000   \n",
       "26      0.000000        0.000000         0.000000          0.000000   \n",
       "27      0.000000        0.000000         0.000000          0.000000   \n",
       "28      0.000000        0.000000         0.000000          0.000000   \n",
       "29      0.000000        0.000000         0.000000          0.000000   \n",
       "30      0.000000        0.000000         0.000000          0.000000   \n",
       "31      0.000000        0.000000         0.000000          0.000000   \n",
       "32      0.000000        0.000000         0.000000          0.000000   \n",
       "33      0.000000        0.000000         0.000000          0.000000   \n",
       "34      0.000000        0.000000         0.000000          0.000000   \n",
       "35      0.000000        0.000000         0.000000          0.000000   \n",
       "36      0.000000        0.000000         0.000000          0.000000   \n",
       "37      0.000000        0.000000         0.000000          0.000000   \n",
       "38      0.000000        0.000000         0.000000          0.000000   \n",
       "39      0.000000        0.000000         0.000000          0.000000   \n",
       "40      0.000000        0.000000         0.000000          0.000000   \n",
       "41      0.000000        0.000000         0.000000          0.000000   \n",
       "42      0.000000        0.000000         0.000000          0.000000   \n",
       "43      0.000000        0.000000         0.000000          0.000000   \n",
       "44      0.000000        0.000000         0.000000          0.000000   \n",
       "45      0.000000        0.000000         0.000000          0.000000   \n",
       "46      0.000000        0.000000         0.000000          0.000000   \n",
       "47      0.000000        0.000000         0.000000          0.000000   \n",
       "48      0.000000        0.000000         0.000000          0.000000   \n",
       "49      0.000000        0.000000         0.000000          0.000000   \n",
       "50      0.000000        0.000000         0.000000          0.000000   \n",
       "51      0.000000        0.000000         0.000000          0.000000   \n",
       "52      0.000000        0.000000         0.000000          0.000000   \n",
       "53      0.000000        0.000000         0.000000          0.000000   \n",
       "\n",
       "        ...        Thrift / Vintage Store  Toy / Game Store    Trail  \\\n",
       "0       ...                      0.000000          0.000000  0.00000   \n",
       "1       ...                      0.000000          0.000000  0.00000   \n",
       "2       ...                      0.000000          0.000000  0.00000   \n",
       "3       ...                      0.000000          0.000000  0.00000   \n",
       "4       ...                      0.000000          0.000000  0.00000   \n",
       "5       ...                      0.000000          0.000000  0.00000   \n",
       "6       ...                      0.000000          0.000000  0.00000   \n",
       "7       ...                      0.000000          0.000000  0.00000   \n",
       "8       ...                      0.000000          0.000000  0.00000   \n",
       "9       ...                      0.000000          0.000000  0.00000   \n",
       "10      ...                      0.000000          0.000000  0.00000   \n",
       "11      ...                      0.010417          0.000000  0.00000   \n",
       "12      ...                      0.000000          0.000000  0.00000   \n",
       "13      ...                      0.000000          0.000000  0.00000   \n",
       "14      ...                      0.000000          0.000000  0.00000   \n",
       "15      ...                      0.000000          0.000000  0.00000   \n",
       "16      ...                      0.000000          0.000000  0.00000   \n",
       "17      ...                      0.000000          0.000000  0.00000   \n",
       "18      ...                      0.000000          0.027778  0.00000   \n",
       "19      ...                      0.000000          0.000000  0.00000   \n",
       "20      ...                      0.000000          0.000000  0.00000   \n",
       "21      ...                      0.000000          0.000000  0.00000   \n",
       "22      ...                      0.000000          0.000000  0.00000   \n",
       "23      ...                      0.000000          0.000000  0.00000   \n",
       "24      ...                      0.000000          0.000000  0.00000   \n",
       "25      ...                      0.000000          0.000000  0.00000   \n",
       "26      ...                      0.000000          0.000000  0.25000   \n",
       "27      ...                      0.000000          0.000000  0.00000   \n",
       "28      ...                      0.000000          0.000000  0.00000   \n",
       "29      ...                      0.000000          0.000000  0.00000   \n",
       "30      ...                      0.000000          0.000000  0.00000   \n",
       "31      ...                      0.000000          0.000000  0.00000   \n",
       "32      ...                      0.000000          0.000000  0.00000   \n",
       "33      ...                      0.000000          0.000000  0.00000   \n",
       "34      ...                      0.000000          0.000000  0.00000   \n",
       "35      ...                      0.000000          0.000000  0.00000   \n",
       "36      ...                      0.000000          0.000000  0.00000   \n",
       "37      ...                      0.000000          0.000000  0.00000   \n",
       "38      ...                      0.000000          0.000000  0.00000   \n",
       "39      ...                      0.000000          0.000000  0.00000   \n",
       "40      ...                      0.000000          0.000000  0.25000   \n",
       "41      ...                      0.000000          0.000000  0.00000   \n",
       "42      ...                      0.000000          0.000000  0.00000   \n",
       "43      ...                      0.000000          0.000000  0.00000   \n",
       "44      ...                      0.000000          0.010000  0.00000   \n",
       "45      ...                      0.000000          0.000000  0.00000   \n",
       "46      ...                      0.000000          0.000000  0.00000   \n",
       "47      ...                      0.000000          0.000000  0.00000   \n",
       "48      ...                      0.000000          0.000000  0.00000   \n",
       "49      ...                      0.000000          0.000000  0.00000   \n",
       "50      ...                      0.000000          0.000000  0.25000   \n",
       "51      ...                      0.000000          0.000000  0.00000   \n",
       "52      ...                      0.000000          0.000000  0.02381   \n",
       "53      ...                      0.000000          0.000000  0.00000   \n",
       "\n",
       "    Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0        0.000000                       0.010000          0.000000   \n",
       "1        0.000000                       0.000000          0.000000   \n",
       "2        0.000000                       0.000000          0.000000   \n",
       "3        0.000000                       0.000000          0.000000   \n",
       "4        0.000000                       0.000000          0.000000   \n",
       "5        0.000000                       0.000000          0.000000   \n",
       "6        0.000000                       0.000000          0.000000   \n",
       "7        0.000000                       0.000000          0.000000   \n",
       "8        0.000000                       0.000000          0.000000   \n",
       "9        0.000000                       0.000000          0.000000   \n",
       "10       0.000000                       0.012195          0.000000   \n",
       "11       0.000000                       0.052083          0.000000   \n",
       "12       0.000000                       0.000000          0.000000   \n",
       "13       0.000000                       0.000000          0.011765   \n",
       "14       0.000000                       0.000000          0.000000   \n",
       "15       0.000000                       0.000000          0.000000   \n",
       "16       0.000000                       0.000000          0.000000   \n",
       "17       0.000000                       0.000000          0.000000   \n",
       "18       0.000000                       0.000000          0.000000   \n",
       "19       0.000000                       0.000000          0.000000   \n",
       "20       0.000000                       0.000000          0.000000   \n",
       "21       0.010000                       0.000000          0.000000   \n",
       "22       0.000000                       0.000000          0.000000   \n",
       "23       0.000000                       0.000000          0.000000   \n",
       "24       0.142857                       0.000000          0.000000   \n",
       "25       0.010000                       0.010000          0.000000   \n",
       "26       0.000000                       0.000000          0.000000   \n",
       "27       0.000000                       0.000000          0.000000   \n",
       "28       0.000000                       0.000000          0.029412   \n",
       "29       0.020000                       0.010000          0.000000   \n",
       "30       0.000000                       0.000000          0.000000   \n",
       "31       0.000000                       0.000000          0.000000   \n",
       "32       0.000000                       0.000000          0.000000   \n",
       "33       0.000000                       0.000000          0.000000   \n",
       "34       0.000000                       0.000000          0.000000   \n",
       "35       0.000000                       0.015385          0.000000   \n",
       "36       0.000000                       0.000000          0.000000   \n",
       "37       0.000000                       0.000000          0.000000   \n",
       "38       0.000000                       0.000000          0.000000   \n",
       "39       0.000000                       0.000000          0.000000   \n",
       "40       0.000000                       0.000000          0.000000   \n",
       "41       0.000000                       0.000000          0.000000   \n",
       "42       0.000000                       0.000000          0.000000   \n",
       "43       0.000000                       0.027778          0.000000   \n",
       "44       0.000000                       0.010000          0.000000   \n",
       "45       0.000000                       0.000000          0.000000   \n",
       "46       0.000000                       0.000000          0.000000   \n",
       "47       0.010638                       0.000000          0.000000   \n",
       "48       0.000000                       0.000000          0.000000   \n",
       "49       0.000000                       0.038462          0.000000   \n",
       "50       0.000000                       0.000000          0.000000   \n",
       "51       0.000000                       0.000000          0.000000   \n",
       "52       0.000000                       0.000000          0.000000   \n",
       "53       0.000000                       0.000000          0.000000   \n",
       "\n",
       "    Vietnamese Restaurant  Wine Bar  Wings Joint  Women's Store  \n",
       "0                0.000000  0.010000     0.000000           0.01  \n",
       "1                0.000000  0.000000     0.000000           0.00  \n",
       "2                0.000000  0.000000     0.000000           0.00  \n",
       "3                0.000000  0.000000     0.000000           0.00  \n",
       "4                0.000000  0.000000     0.000000           0.00  \n",
       "5                0.000000  0.000000     0.000000           0.00  \n",
       "6                0.000000  0.000000     0.000000           0.00  \n",
       "7                0.000000  0.000000     0.000000           0.00  \n",
       "8                0.000000  0.000000     0.000000           0.00  \n",
       "9                0.000000  0.000000     0.000000           0.00  \n",
       "10               0.000000  0.012195     0.000000           0.00  \n",
       "11               0.052083  0.010417     0.000000           0.00  \n",
       "12               0.000000  0.000000     0.000000           0.00  \n",
       "13               0.011765  0.000000     0.011765           0.00  \n",
       "14               0.000000  0.000000     0.000000           0.00  \n",
       "15               0.000000  0.000000     0.000000           0.00  \n",
       "16               0.000000  0.000000     0.000000           0.00  \n",
       "17               0.000000  0.010000     0.000000           0.00  \n",
       "18               0.000000  0.000000     0.000000           0.00  \n",
       "19               0.000000  0.000000     0.000000           0.00  \n",
       "20               0.071429  0.000000     0.000000           0.00  \n",
       "21               0.000000  0.010000     0.000000           0.00  \n",
       "22               0.142857  0.000000     0.000000           0.00  \n",
       "23               0.000000  0.000000     0.000000           0.00  \n",
       "24               0.000000  0.000000     0.000000           0.00  \n",
       "25               0.000000  0.010000     0.000000           0.00  \n",
       "26               0.000000  0.000000     0.000000           0.00  \n",
       "27               0.000000  0.000000     0.000000           0.00  \n",
       "28               0.000000  0.000000     0.000000           0.00  \n",
       "29               0.000000  0.010000     0.000000           0.00  \n",
       "30               0.000000  0.000000     0.000000           0.00  \n",
       "31               0.000000  0.000000     0.000000           0.00  \n",
       "32               0.000000  0.000000     0.000000           0.00  \n",
       "33               0.000000  0.000000     0.000000           0.00  \n",
       "34               0.000000  0.000000     0.000000           0.00  \n",
       "35               0.030769  0.015385     0.000000           0.00  \n",
       "36               0.000000  0.000000     0.000000           0.00  \n",
       "37               0.000000  0.000000     0.000000           0.00  \n",
       "38               0.000000  0.000000     0.000000           0.00  \n",
       "39               0.000000  0.000000     0.000000           0.00  \n",
       "40               0.000000  0.000000     0.000000           0.00  \n",
       "41               0.000000  0.000000     0.000000           0.00  \n",
       "42               0.000000  0.000000     0.000000           0.00  \n",
       "43               0.000000  0.000000     0.000000           0.00  \n",
       "44               0.010000  0.010000     0.000000           0.00  \n",
       "45               0.000000  0.000000     0.000000           0.00  \n",
       "46               0.000000  0.000000     0.000000           0.01  \n",
       "47               0.000000  0.000000     0.000000           0.00  \n",
       "48               0.000000  0.000000     0.000000           0.00  \n",
       "49               0.000000  0.000000     0.000000           0.00  \n",
       "50               0.000000  0.000000     0.000000           0.00  \n",
       "51               0.000000  0.000000     0.000000           0.00  \n",
       "52               0.000000  0.000000     0.000000           0.00  \n",
       "53               0.000000  0.000000     0.000000           0.00  \n",
       "\n",
       "[54 rows x 240 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues_onehot = pd.get_dummies(Toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "venues_onehot['Neighborhood'] = Toronto_venues['Neighborhood'] \n",
    "fixed_columns = [venues_onehot.columns[-1]] + list(venues_onehot.columns[:-1])\n",
    "venues_onehot = venues_onehot[fixed_columns]\n",
    "Toronto_grouped = venues_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "Toronto_grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Filtering the top 10 venues for each Neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>Café</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Agincourt</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Agincourt North, L'Amoreaux East, Milliken, St...</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Birch Cliff, Cliffside West</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Café</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</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                                          Agincourt                Lounge   \n",
       "2  Agincourt North, L'Amoreaux East, Milliken, St...                  Park   \n",
       "3                                        Berczy Park           Coffee Shop   \n",
       "4                        Birch Cliff, Cliffside West       College Stadium   \n",
       "\n",
       "  2nd Most Common Venue  3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Café        Thai Restaurant            Steakhouse   \n",
       "1        Clothing Store           Skating Rink        Breakfast Spot   \n",
       "2            Playground          Women's Store      Department Store   \n",
       "3          Cocktail Bar             Restaurant        Farmers Market   \n",
       "4          Skating Rink  General Entertainment                  Café   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0   American Restaurant      Asian Restaurant                 Hotel   \n",
       "1         Women's Store    Dim Sum Restaurant           Event Space   \n",
       "2           Event Space  Ethiopian Restaurant     Electronics Store   \n",
       "3            Steakhouse    Seafood Restaurant           Cheese Shop   \n",
       "4          Dessert Shop           Event Space  Ethiopian Restaurant   \n",
       "\n",
       "         8th Most Common Venue        9th Most Common Venue  \\\n",
       "0                          Bar                   Restaurant   \n",
       "1         Ethiopian Restaurant            Electronics Store   \n",
       "2  Eastern European Restaurant          Dumpling Restaurant   \n",
       "3                         Café           Italian Restaurant   \n",
       "4            Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "        10th Most Common Venue  \n",
       "0                       Bakery  \n",
       "1  Eastern European Restaurant  \n",
       "2                   Donut Shop  \n",
       "3                       Bakery  \n",
       "4          Dumpling Restaurant  "
      ]
     },
     "execution_count": 12,
     "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": [
    "## Making some clusters\n",
    "Clusters created by similarity in top venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 4, 0, 1, 0,\n",
       "       0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 2])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "kclusters = 5\n",
    "\n",
    "Toronto_grouped_clustering = Toronto_grouped.drop('Neighborhood', 1)\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",
    "kmeans.labels_ = np.append(kmeans.labels_,[2])\n",
    "kmeans.labels_"
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  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\EDUARDOANDRECUYANIZA\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "      <td>0</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
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       "      <td>Dessert Shop</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
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       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
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       "      <td>Pizza Place</td>\n",
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       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
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       "      <td>Soccer Field</td>\n",
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       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Falafel Restaurant</td>\n",
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       "      <td>Ethiopian Restaurant</td>\n",
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       "      <td>M1H</td>\n",
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       "      <td>Cedarbrae</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>0</td>\n",
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       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Hakka Restaurant</td>\n",
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       "      <td>Eastern European Restaurant</td>\n",
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       "  PostalCode      Borough                            Neighborhood   Latitude  \\\n",
       "0        M1B  Scarborough                          Rouge, Malvern  43.806686   \n",
       "1        M1C  Scarborough  Highland Creek, Rouge Hill, Port Union  43.784535   \n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill  43.763573   \n",
       "3        M1G  Scarborough                                  Woburn  43.770992   \n",
       "4        M1H  Scarborough                               Cedarbrae  43.773136   \n",
       "\n",
       "   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0 -79.194353               0  Fast Food Restaurant         Women's Store   \n",
       "1 -79.160497               0                   Bar         Women's Store   \n",
       "2 -79.188711               4   Rental Car Location     Electronics Store   \n",
       "3 -79.216917               0           Coffee Shop     Korean Restaurant   \n",
       "4 -79.239476               0                  Bank    Athletics & Sports   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "0          Dessert Shop    Falafel Restaurant           Event Space   \n",
       "1  Fast Food Restaurant    Falafel Restaurant           Event Space   \n",
       "2           Pizza Place        Medical Center        Breakfast Spot   \n",
       "3          Soccer Field         Women's Store    Dim Sum Restaurant   \n",
       "4  Caribbean Restaurant       Thai Restaurant                Bakery   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue        8th Most Common Venue  \\\n",
       "0  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant   \n",
       "1  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant   \n",
       "2    Mexican Restaurant      Department Store  Eastern European Restaurant   \n",
       "3    Falafel Restaurant           Event Space         Ethiopian Restaurant   \n",
       "4   Fried Chicken Joint      Hakka Restaurant            Electronics Store   \n",
       "\n",
       "         9th Most Common Venue       10th Most Common Venue  \n",
       "0          Dumpling Restaurant                   Donut Shop  \n",
       "1          Dumpling Restaurant                   Donut Shop  \n",
       "2          Dumpling Restaurant                   Donut Shop  \n",
       "3            Electronics Store  Eastern European Restaurant  \n",
       "4  Eastern European Restaurant          Dumpling Restaurant  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_merged = final_data\n",
    "Toronto_merged['Cluster Labels'] = kmeans.labels_\n",
    "Toronto_merged = Toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "Toronto_merged.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot map with clusters"
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  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
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            circle_marker_5c2701e2c04a40beb8916c1cb7bc8ccc.bindPopup(popup_571150d6b99d4502b1ab757b22ce13e2);

            
        
    
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}
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}
                ).addTo(map_cfd6f581f48c42148d0c0a638ea2e4cf);
            
    
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}
                ).addTo(map_cfd6f581f48c42148d0c0a638ea2e4cf);
            
    
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            circle_marker_bd8d4992c4594b3f8674ab7f7eacfd1f.bindPopup(popup_3d2daf3092414ec8a821930198c82aad);

            
        
    
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}
                ).addTo(map_cfd6f581f48c42148d0c0a638ea2e4cf);
            
    
            var popup_84c8f188601f4065b5451111be27829d = L.popup({maxWidth: '300'});

            
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            circle_marker_fd6a979fbe3e40708b83daf8c0abb56e.bindPopup(popup_84c8f188601f4065b5451111be27829d);

            
        
    
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}
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                var html_7598d95693c64d9b82a4a5744d0acf98 = $('<div id="html_7598d95693c64d9b82a4a5744d0acf98" style="width: 100.0%; height: 100.0%;">Dovercourt Village, Dufferin Cluster 0</div>')[0];
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            circle_marker_31603b0f6f744700a07e809583c724a3.bindPopup(popup_ab94bea72db04e4dbcde051b85bb1f42);

            
        
    
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</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 0x2856007e2e8>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create Map\n",
    "\n",
    "toronto_latitude = 43.6932; toronto_longitude = -79.3832\n",
    "map_clusters = folium.Map(location=[toronto_latitude, toronto_longitude], zoom_start=11)\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_merged['Latitude'], Toronto_merged['Longitude'], Toronto_merged['Neighborhood'], Toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Finding the best candidate"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First of all, we try to find in which Cluster was Roselawn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>M5N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "      <td>0</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PostalCode          Borough Neighborhood   Latitude  Longitude  \\\n",
       "39        M5N  Central Toronto     Roselawn  43.711695 -79.416936   \n",
       "\n",
       "    Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "39               0                Garden                  Pool   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "39          Home Service         Women's Store      Doner Restaurant   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "39    Dim Sum Restaurant                 Diner        Discount Store   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "39               Dog Run    Dumpling Restaurant  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_merged[Toronto_merged['Neighborhood']=='Roselawn']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Roselawn was in cluster 0, so the requirements for our candidates are being in the cluster 0 and in the Borough of Scarborough"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "      <td>0</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Soccer Field</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>0</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>43.744734</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode      Borough                            Neighborhood   Latitude  \\\n",
       "0        M1B  Scarborough                          Rouge, Malvern  43.806686   \n",
       "1        M1C  Scarborough  Highland Creek, Rouge Hill, Port Union  43.784535   \n",
       "3        M1G  Scarborough                                  Woburn  43.770992   \n",
       "4        M1H  Scarborough                               Cedarbrae  43.773136   \n",
       "5        M1J  Scarborough                     Scarborough Village  43.744734   \n",
       "\n",
       "   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0 -79.194353               0  Fast Food Restaurant         Women's Store   \n",
       "1 -79.160497               0                   Bar         Women's Store   \n",
       "3 -79.216917               0           Coffee Shop     Korean Restaurant   \n",
       "4 -79.239476               0                  Bank    Athletics & Sports   \n",
       "5 -79.239476               0         Grocery Store                   Spa   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "0          Dessert Shop    Falafel Restaurant           Event Space   \n",
       "1  Fast Food Restaurant    Falafel Restaurant           Event Space   \n",
       "3          Soccer Field         Women's Store    Dim Sum Restaurant   \n",
       "4  Caribbean Restaurant       Thai Restaurant                Bakery   \n",
       "5            Playground         Women's Store      Department Store   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue        8th Most Common Venue  \\\n",
       "0  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant   \n",
       "1  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant   \n",
       "3    Falafel Restaurant           Event Space         Ethiopian Restaurant   \n",
       "4   Fried Chicken Joint      Hakka Restaurant            Electronics Store   \n",
       "5  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "         9th Most Common Venue       10th Most Common Venue  \n",
       "0          Dumpling Restaurant                   Donut Shop  \n",
       "1          Dumpling Restaurant                   Donut Shop  \n",
       "3            Electronics Store  Eastern European Restaurant  \n",
       "4  Eastern European Restaurant          Dumpling Restaurant  \n",
       "5          Dumpling Restaurant                   Donut Shop  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Candidates = Toronto_merged.loc[(Toronto_merged['Cluster Labels'] == 0) & (Toronto_merged['Borough'] =='Scarborough')]\n",
    "Candidates.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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            circle_marker_1812f636d15f4941a14d9a24e406a52b.bindPopup(popup_2b372f4a7010414b9839d6dca39972e7);

            
        
    
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}
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                {
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  "fillColor": "#ff0000",
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}
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                {
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                var html_9d278ab58d674652aa32f08e945161e8 = $('<div id="html_9d278ab58d674652aa32f08e945161e8" style="width: 100.0%; height: 100.0%;">Agincourt North, L&#39;Amoreaux East, Milliken, Steeles East Cluster 0</div>')[0];
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                {
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  "fillColor": "#ff0000",
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            var popup_a11c527c39404f61b8bbfb0b172bf6c5 = L.popup({maxWidth: '300'});

            
                var html_abd9e4ce65784476bd5c13cb9ba85b3e = $('<div id="html_abd9e4ce65784476bd5c13cb9ba85b3e" style="width: 100.0%; height: 100.0%;">L&#39;Amoreaux West, Steeles West Cluster 0</div>')[0];
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            var circle_marker_99fa779e3503482287b560c593282e8a = L.circleMarker(
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                {
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  "fillColor": "#ff0000",
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            var popup_d4bef45c64494aacaff80542020699e0 = L.popup({maxWidth: '300'});

            
                var html_5a58b3896d9b4a14a0c4f0db9999a89c = $('<div id="html_5a58b3896d9b4a14a0c4f0db9999a89c" style="width: 100.0%; height: 100.0%;">Upper Rouge Cluster 0</div>')[0];
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</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 0x28562d499b0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_clusters = folium.Map(location=[toronto_latitude,toronto_longitude], zoom_start=11)\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(Candidates['Latitude'], Candidates['Longitude'], Candidates['Neighborhood'], Candidates['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": [
    "The other requirement from the client was to have grocery stores near"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     0\n",
       "1     0\n",
       "3     0\n",
       "4     0\n",
       "5     1\n",
       "6     0\n",
       "7     0\n",
       "8     0\n",
       "9     0\n",
       "10    0\n",
       "11    0\n",
       "12    0\n",
       "13    0\n",
       "14    0\n",
       "15    0\n",
       "16    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=((Candidates==\"Grocery Store\"))\n",
    "np.sum(a,axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The only one candidate who satisfies this 3 conditions is candidate 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "43.7447342 -79.23947609999998\n"
     ]
    }
   ],
   "source": [
    "search_query = 'Grocery Store'\n",
    "radius = 5000\n",
    "LIMIT = 10\n",
    "latitude = Candidates.loc[5,'Latitude']\n",
    "longitude = Candidates.loc[5,'Longitude']\n",
    "print(latitude,longitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .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>categories</th>\n",
       "      <th>hasPerk</th>\n",
       "      <th>id</th>\n",
       "      <th>location.address</th>\n",
       "      <th>location.cc</th>\n",
       "      <th>location.city</th>\n",
       "      <th>location.country</th>\n",
       "      <th>location.crossStreet</th>\n",
       "      <th>location.distance</th>\n",
       "      <th>location.formattedAddress</th>\n",
       "      <th>location.labeledLatLngs</th>\n",
       "      <th>location.lat</th>\n",
       "      <th>location.lng</th>\n",
       "      <th>location.neighborhood</th>\n",
       "      <th>location.postalCode</th>\n",
       "      <th>location.state</th>\n",
       "      <th>name</th>\n",
       "      <th>referralId</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[{'id': '4d954b0ea243a5684a65b473', 'name': 'C...</td>\n",
       "      <td>False</td>\n",
       "      <td>50942b90e4b0a70261f30d18</td>\n",
       "      <td>1355 Danforth Road</td>\n",
       "      <td>CA</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>427</td>\n",
       "      <td>[1355 Danforth Road, Scarborough ON, Canada]</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.74385420196717...</td>\n",
       "      <td>43.743854</td>\n",
       "      <td>-79.244650</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ON</td>\n",
       "      <td>True Discount Convenience Store</td>\n",
       "      <td>v-1545668646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[{'id': '4bf58dd8d48988d123951735', 'name': 'S...</td>\n",
       "      <td>False</td>\n",
       "      <td>4d5c96f5e7f75481e5221c97</td>\n",
       "      <td>1351 Danforth Rd</td>\n",
       "      <td>CA</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>428</td>\n",
       "      <td>[1351 Danforth Rd, Toronto ON M1J 1G2, Canada]</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.74378, 'lng': ...</td>\n",
       "      <td>43.743780</td>\n",
       "      <td>-79.244644</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M1J 1G2</td>\n",
       "      <td>ON</td>\n",
       "      <td>Daisy Mart Convenience Store</td>\n",
       "      <td>v-1545668646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[{'id': '4d954b0ea243a5684a65b473', 'name': 'C...</td>\n",
       "      <td>False</td>\n",
       "      <td>4bb3e866f187a59379a013f8</td>\n",
       "      <td>2900 Eglinton Ave East</td>\n",
       "      <td>CA</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>Canada</td>\n",
       "      <td>at McCowan Road</td>\n",
       "      <td>685</td>\n",
       "      <td>[2900 Eglinton Ave East (at McCowan Road), Tor...</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.73861453638707...</td>\n",
       "      <td>43.738615</td>\n",
       "      <td>-79.238576</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M1J 2E4</td>\n",
       "      <td>ON</td>\n",
       "      <td>Mac's Convenience Store</td>\n",
       "      <td>v-1545668646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[{'id': '5370f356bcbc57f1066c94c2', 'name': 'B...</td>\n",
       "      <td>False</td>\n",
       "      <td>4b2405e2f964a5204b5f24e3</td>\n",
       "      <td>2727 Eglinton Ave E</td>\n",
       "      <td>CA</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Canada</td>\n",
       "      <td>at Brimley Rd.</td>\n",
       "      <td>1233</td>\n",
       "      <td>[2727 Eglinton Ave E (at Brimley Rd.), Scarbor...</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.7359411, 'lng'...</td>\n",
       "      <td>43.735941</td>\n",
       "      <td>-79.248805</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M1K 2S2</td>\n",
       "      <td>ON</td>\n",
       "      <td>The Beer Store</td>\n",
       "      <td>v-1545668646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>[{'id': '5370f356bcbc57f1066c94c2', 'name': 'B...</td>\n",
       "      <td>False</td>\n",
       "      <td>4b677b90f964a520a6512be3</td>\n",
       "      <td>3205 Eglinton Ave E</td>\n",
       "      <td>CA</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Markham Road</td>\n",
       "      <td>1715</td>\n",
       "      <td>[3205 Eglinton Ave E (Markham Road), Scarborou...</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.7433482, 'lng'...</td>\n",
       "      <td>43.743348</td>\n",
       "      <td>-79.218232</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M1J 2H7</td>\n",
       "      <td>ON</td>\n",
       "      <td>The Beer Store</td>\n",
       "      <td>v-1545668646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>[{'id': '4bf58dd8d48988d101951735', 'name': 'T...</td>\n",
       "      <td>False</td>\n",
       "      <td>4bfebef9e584c928402b6d25</td>\n",
       "      <td>1225 Kennedy Rd</td>\n",
       "      <td>CA</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3199</td>\n",
       "      <td>[1225 Kennedy Rd, Scarborough ON M1P 2L4, Canada]</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.75578210550947...</td>\n",
       "      <td>43.755782</td>\n",
       "      <td>-79.276208</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M1P 2L4</td>\n",
       "      <td>ON</td>\n",
       "      <td>Salvation Army Thrift Store</td>\n",
       "      <td>v-1545668646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[{'id': '4bf58dd8d48988d1f3941735', 'name': 'T...</td>\n",
       "      <td>False</td>\n",
       "      <td>5085ec39e4b0b1ead2eb0818</td>\n",
       "      <td>300 Borough Drive</td>\n",
       "      <td>CA</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Canada</td>\n",
       "      <td>in Scarborough Town Centre</td>\n",
       "      <td>3702</td>\n",
       "      <td>[300 Borough Drive (in Scarborough Town Centre...</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.775537, 'lng':...</td>\n",
       "      <td>43.775537</td>\n",
       "      <td>-79.256833</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M1P 4P5</td>\n",
       "      <td>ON</td>\n",
       "      <td>Disney Store</td>\n",
       "      <td>v-1545668646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>[{'id': '52f2ab2ebcbc57f1066b8b36', 'name': 'I...</td>\n",
       "      <td>False</td>\n",
       "      <td>4bc33a9f4cdfc9b626029721</td>\n",
       "      <td>300 Borough Dr  UNIT 95</td>\n",
       "      <td>CA</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3743</td>\n",
       "      <td>[300 Borough Dr  UNIT 95, Scarborough ON M1P 4...</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.77564497500000...</td>\n",
       "      <td>43.775645</td>\n",
       "      <td>-79.257800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M1P 4P5</td>\n",
       "      <td>ON</td>\n",
       "      <td>TELUS Store</td>\n",
       "      <td>v-1545668646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>[{'id': '4bf58dd8d48988d103951735', 'name': 'C...</td>\n",
       "      <td>False</td>\n",
       "      <td>4d1127d65f3376eb86661386</td>\n",
       "      <td>300 Borough Dr</td>\n",
       "      <td>CA</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Canada</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3767</td>\n",
       "      <td>[300 Borough Dr, Scarborough ON M1P 4P5, Canada]</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.77601546103458...</td>\n",
       "      <td>43.776015</td>\n",
       "      <td>-79.257369</td>\n",
       "      <td>Scarborough City Centre</td>\n",
       "      <td>M1P 4P5</td>\n",
       "      <td>ON</td>\n",
       "      <td>Tommy Hilfiger Company Store</td>\n",
       "      <td>v-1545668646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>[{'id': '4bf58dd8d48988d118951735', 'name': 'G...</td>\n",
       "      <td>False</td>\n",
       "      <td>4dd19e051838a75196486487</td>\n",
       "      <td>1821 Lawrence Ave E</td>\n",
       "      <td>CA</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Pharmacy Ave</td>\n",
       "      <td>5162</td>\n",
       "      <td>[1821 Lawrence Ave E (Pharmacy Ave), Toronto O...</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.74331671353403...</td>\n",
       "      <td>43.743317</td>\n",
       "      <td>-79.303645</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M1R 2Y3</td>\n",
       "      <td>ON</td>\n",
       "      <td>Ghadir Mid-Eastern Grocery</td>\n",
       "      <td>v-1545668646</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          categories  hasPerk  \\\n",
       "2  [{'id': '4d954b0ea243a5684a65b473', 'name': 'C...    False   \n",
       "0  [{'id': '4bf58dd8d48988d123951735', 'name': 'S...    False   \n",
       "4  [{'id': '4d954b0ea243a5684a65b473', 'name': 'C...    False   \n",
       "1  [{'id': '5370f356bcbc57f1066c94c2', 'name': 'B...    False   \n",
       "9  [{'id': '5370f356bcbc57f1066c94c2', 'name': 'B...    False   \n",
       "7  [{'id': '4bf58dd8d48988d101951735', 'name': 'T...    False   \n",
       "3  [{'id': '4bf58dd8d48988d1f3941735', 'name': 'T...    False   \n",
       "6  [{'id': '52f2ab2ebcbc57f1066b8b36', 'name': 'I...    False   \n",
       "5  [{'id': '4bf58dd8d48988d103951735', 'name': 'C...    False   \n",
       "8  [{'id': '4bf58dd8d48988d118951735', 'name': 'G...    False   \n",
       "\n",
       "                         id         location.address location.cc  \\\n",
       "2  50942b90e4b0a70261f30d18       1355 Danforth Road          CA   \n",
       "0  4d5c96f5e7f75481e5221c97         1351 Danforth Rd          CA   \n",
       "4  4bb3e866f187a59379a013f8   2900 Eglinton Ave East          CA   \n",
       "1  4b2405e2f964a5204b5f24e3      2727 Eglinton Ave E          CA   \n",
       "9  4b677b90f964a520a6512be3      3205 Eglinton Ave E          CA   \n",
       "7  4bfebef9e584c928402b6d25          1225 Kennedy Rd          CA   \n",
       "3  5085ec39e4b0b1ead2eb0818        300 Borough Drive          CA   \n",
       "6  4bc33a9f4cdfc9b626029721  300 Borough Dr  UNIT 95          CA   \n",
       "5  4d1127d65f3376eb86661386           300 Borough Dr          CA   \n",
       "8  4dd19e051838a75196486487      1821 Lawrence Ave E          CA   \n",
       "\n",
       "  location.city location.country        location.crossStreet  \\\n",
       "2   Scarborough           Canada                         NaN   \n",
       "0       Toronto           Canada                         NaN   \n",
       "4       Toronto           Canada             at McCowan Road   \n",
       "1   Scarborough           Canada              at Brimley Rd.   \n",
       "9   Scarborough           Canada                Markham Road   \n",
       "7   Scarborough           Canada                         NaN   \n",
       "3   Scarborough           Canada  in Scarborough Town Centre   \n",
       "6   Scarborough           Canada                         NaN   \n",
       "5   Scarborough           Canada                         NaN   \n",
       "8       Toronto           Canada                Pharmacy Ave   \n",
       "\n",
       "   location.distance                          location.formattedAddress  \\\n",
       "2                427       [1355 Danforth Road, Scarborough ON, Canada]   \n",
       "0                428     [1351 Danforth Rd, Toronto ON M1J 1G2, Canada]   \n",
       "4                685  [2900 Eglinton Ave East (at McCowan Road), Tor...   \n",
       "1               1233  [2727 Eglinton Ave E (at Brimley Rd.), Scarbor...   \n",
       "9               1715  [3205 Eglinton Ave E (Markham Road), Scarborou...   \n",
       "7               3199  [1225 Kennedy Rd, Scarborough ON M1P 2L4, Canada]   \n",
       "3               3702  [300 Borough Drive (in Scarborough Town Centre...   \n",
       "6               3743  [300 Borough Dr  UNIT 95, Scarborough ON M1P 4...   \n",
       "5               3767   [300 Borough Dr, Scarborough ON M1P 4P5, Canada]   \n",
       "8               5162  [1821 Lawrence Ave E (Pharmacy Ave), Toronto O...   \n",
       "\n",
       "                             location.labeledLatLngs  location.lat  \\\n",
       "2  [{'label': 'display', 'lat': 43.74385420196717...     43.743854   \n",
       "0  [{'label': 'display', 'lat': 43.74378, 'lng': ...     43.743780   \n",
       "4  [{'label': 'display', 'lat': 43.73861453638707...     43.738615   \n",
       "1  [{'label': 'display', 'lat': 43.7359411, 'lng'...     43.735941   \n",
       "9  [{'label': 'display', 'lat': 43.7433482, 'lng'...     43.743348   \n",
       "7  [{'label': 'display', 'lat': 43.75578210550947...     43.755782   \n",
       "3  [{'label': 'display', 'lat': 43.775537, 'lng':...     43.775537   \n",
       "6  [{'label': 'display', 'lat': 43.77564497500000...     43.775645   \n",
       "5  [{'label': 'display', 'lat': 43.77601546103458...     43.776015   \n",
       "8  [{'label': 'display', 'lat': 43.74331671353403...     43.743317   \n",
       "\n",
       "   location.lng    location.neighborhood location.postalCode location.state  \\\n",
       "2    -79.244650                      NaN                 NaN             ON   \n",
       "0    -79.244644                      NaN             M1J 1G2             ON   \n",
       "4    -79.238576                      NaN             M1J 2E4             ON   \n",
       "1    -79.248805                      NaN             M1K 2S2             ON   \n",
       "9    -79.218232                      NaN             M1J 2H7             ON   \n",
       "7    -79.276208                      NaN             M1P 2L4             ON   \n",
       "3    -79.256833                      NaN             M1P 4P5             ON   \n",
       "6    -79.257800                      NaN             M1P 4P5             ON   \n",
       "5    -79.257369  Scarborough City Centre             M1P 4P5             ON   \n",
       "8    -79.303645                      NaN             M1R 2Y3             ON   \n",
       "\n",
       "                              name    referralId  \n",
       "2  True Discount Convenience Store  v-1545668646  \n",
       "0     Daisy Mart Convenience Store  v-1545668646  \n",
       "4          Mac's Convenience Store  v-1545668646  \n",
       "1                   The Beer Store  v-1545668646  \n",
       "9                   The Beer Store  v-1545668646  \n",
       "7      Salvation Army Thrift Store  v-1545668646  \n",
       "3                     Disney Store  v-1545668646  \n",
       "6                      TELUS Store  v-1545668646  \n",
       "5     Tommy Hilfiger Company Store  v-1545668646  \n",
       "8       Ghadir Mid-Eastern Grocery  v-1545668646  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://api.foursquare.com/v2/venues/search?client_id={}&client_secret={}&ll={},{}&v={}&query={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, latitude, longitude, VERSION, search_query, radius, LIMIT)\n",
    "results = requests.get(url).json()\n",
    "venues = results['response']['venues']\n",
    "dataframe = json_normalize(venues)\n",
    "dataframe.sort_values(by='location.distance',inplace=True)\n",
    "dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, we analize the popularity of the groceries in a radius of 500 for the candidate chosen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rate(id):\n",
    "    venue_id = id\n",
    "    url = 'https://api.foursquare.com/v2/venues/{}?client_id={}&client_secret={}&v={}'.format(venue_id, CLIENT_ID, CLIENT_SECRET, VERSION)\n",
    "    result = requests.get(url).json()\n",
    "    try:\n",
    "        print(result['response']['venue']['rating'])\n",
    "    except:\n",
    "        print('This venue has not been rated yet.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This venue has not been rated yet.\n",
      "This venue has not been rated yet.\n",
      "This venue has not been rated yet.\n",
      "6.3\n",
      "6.2\n",
      "This venue has not been rated yet.\n",
      "7.7\n",
      "This venue has not been rated yet.\n",
      "7.4\n",
      "8.1\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "2    None\n",
       "0    None\n",
       "4    None\n",
       "1    None\n",
       "9    None\n",
       "7    None\n",
       "3    None\n",
       "6    None\n",
       "5    None\n",
       "8    None\n",
       "Name: id, dtype: object"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe['id'].apply(lambda id: rate(id) )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The best candidate \n",
    "Scarborough Village"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x28563183ef0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ScarboroughVillage_latitude = 43.744734; ScarboroughVillage_longitude = -79.239476\n",
    "map_ScarboroughVillage = folium.Map(location = [ScarboroughVillage_latitude, ScarboroughVillage_longitude], zoom_start = 10)\n",
    "folium.CircleMarker(\n",
    "    [ScarboroughVillage_latitude, ScarboroughVillage_longitude],\n",
    "    radius=5,\n",
    "    color='blue',\n",
    "    fill=True,\n",
    "    fill_color='#3186cc',\n",
    "    fill_opacity=0.7).add_to(map_ScarboroughVillage)      \n",
    "map_ScarboroughVillage"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
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    "version": 3
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   "pygments_lexer": "ipython3",
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