Seg_part3.ipynb

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  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "#import library\n",
    "#!pip install beautifulsoup4\n",
    "#!pip install lxml\n",
    "#!pip install request\n",
    "#!pip install geocoder\n",
    "from bs4 import BeautifulSoup\n",
    "import requests\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import geocoder\n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "import json\n",
    "from pandas.io.json import json_normalize\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#use beautiful soup to grasp the table\n",
    "source = requests.get(\"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\").text\n",
    "soup = BeautifulSoup(source, 'lxml').body\n",
    "#print(soup.prettify())\n",
    "table=soup.find('table',class_='wikitable sortable')\n",
    "#print(table)\n",
    "df_list = []\n",
    "df_list.append(pd.concat(pd.read_html(table.prettify())))\n",
    "df = pd.concat(df_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False    103\n",
       "Name: Neighborhood, dtype: int64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Clean the table\n",
    "df=df[df['Borough']!='Not assigned']\n",
    "df.reset_index(drop=True,inplace=True)\n",
    "#check if there is NaN in Neigborhood column\n",
    "df['Neighborhood'].isnull().value_counts()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No NaN in Neigborhood column, so we display the shape of the df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
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      "text/plain": [
       "  Postal Code           Borough                                 Neighborhood\n",
       "0         M3A        North York                                    Parkwoods\n",
       "1         M4A        North York                             Victoria Village\n",
       "2         M5A  Downtown Toronto                    Regent Park, Harbourfront\n",
       "3         M6A        North York             Lawrence Manor, Lawrence Heights\n",
       "4         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we read in the geo data and combine the df with geo data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# read goe data\n",
    "geodata=pd.read_csv('https://cocl.us/Geospatial_data')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "      <td>43.718518</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M9A</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Islington Avenue</td>\n",
       "      <td>43.667856</td>\n",
       "      <td>-79.532242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "      <td>43.745906</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M4B</td>\n",
       "      <td>East York</td>\n",
       "      <td>Parkview Hill, Woodbine Gardens</td>\n",
       "      <td>43.706397</td>\n",
       "      <td>-79.309937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M6B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Glencairn</td>\n",
       "      <td>43.709577</td>\n",
       "      <td>-79.445073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M9B</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>West Deane Park, Princess Gardens, Martin Grov...</td>\n",
       "      <td>43.650943</td>\n",
       "      <td>-79.554724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postal Code           Borough  \\\n",
       "0          M3A        North York   \n",
       "1          M4A        North York   \n",
       "2          M5A  Downtown Toronto   \n",
       "3          M6A        North York   \n",
       "4          M7A  Downtown Toronto   \n",
       "5          M9A         Etobicoke   \n",
       "6          M1B       Scarborough   \n",
       "7          M3B        North York   \n",
       "8          M4B         East York   \n",
       "9          M5B  Downtown Toronto   \n",
       "10         M6B        North York   \n",
       "11         M9B         Etobicoke   \n",
       "12         M1C       Scarborough   \n",
       "\n",
       "                                         Neighborhood   Latitude  Longitude  \n",
       "0                                           Parkwoods  43.753259 -79.329656  \n",
       "1                                    Victoria Village  43.725882 -79.315572  \n",
       "2                           Regent Park, Harbourfront  43.654260 -79.360636  \n",
       "3                    Lawrence Manor, Lawrence Heights  43.718518 -79.464763  \n",
       "4         Queen's Park, Ontario Provincial Government  43.662301 -79.389494  \n",
       "5                                    Islington Avenue  43.667856 -79.532242  \n",
       "6                                      Malvern, Rouge  43.806686 -79.194353  \n",
       "7                                           Don Mills  43.745906 -79.352188  \n",
       "8                     Parkview Hill, Woodbine Gardens  43.706397 -79.309937  \n",
       "9                            Garden District, Ryerson  43.657162 -79.378937  \n",
       "10                                          Glencairn  43.709577 -79.445073  \n",
       "11  West Deane Park, Princess Gardens, Martin Grov...  43.650943 -79.554724  \n",
       "12             Rouge Hill, Port Union, Highland Creek  43.784535 -79.160497  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#combine two dataframes\n",
    "df_final=pd.merge(df,geodata,how='left',on='Postal Code')\n",
    "df_final.sort_values(by='Postal Code')\n",
    "df_final.head(13)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we want to do explore and cluster the neighborhoods in the city of Toronto. First we take a look at the neighbourhood on map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto, Canada'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"ny_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
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            var html_918af46260004d93ba791f8084b69b8a = $(`<div id="html_918af46260004d93ba791f8084b69b8a" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre</div>`)[0];
            popup_c635c96a98f2443d8df2f49534fbc434.setContent(html_918af46260004d93ba791f8084b69b8a);
        

        circle_marker_cf2ddaa373f64e7690d80b5c59d8a78c.bindPopup(popup_c635c96a98f2443d8df2f49534fbc434)
        ;

        
    
    
            var circle_marker_b17f8f223c454a278fa200e0f4bf48ab = L.circleMarker(
                [43.6362579, -79.49850909999999],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_1650d1d9880a436fb952ae927aa594ac);
        
    
        var popup_815f96a38717410faa4ec70930be71c2 = L.popup({"maxWidth": "100%"});

        
            var html_63259eeebca349dd8b0b2e6cb120b1fa = $(`<div id="html_63259eeebca349dd8b0b2e6cb120b1fa" style="width: 100.0%; height: 100.0%;">Old Mill South, King&#39;s Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East</div>`)[0];
            popup_815f96a38717410faa4ec70930be71c2.setContent(html_63259eeebca349dd8b0b2e6cb120b1fa);
        

        circle_marker_b17f8f223c454a278fa200e0f4bf48ab.bindPopup(popup_815f96a38717410faa4ec70930be71c2)
        ;

        
    
    
            var circle_marker_f142abad8e524133a8c711b7c923ca6b = L.circleMarker(
                [43.6288408, -79.52099940000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_1650d1d9880a436fb952ae927aa594ac);
        
    
        var popup_9721a9320fd14e0e8523414dffabc5fb = L.popup({"maxWidth": "100%"});

        
            var html_d3068484ec8b40ae899de6aeb3ed363b = $(`<div id="html_d3068484ec8b40ae899de6aeb3ed363b" style="width: 100.0%; height: 100.0%;">Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West</div>`)[0];
            popup_9721a9320fd14e0e8523414dffabc5fb.setContent(html_d3068484ec8b40ae899de6aeb3ed363b);
        

        circle_marker_f142abad8e524133a8c711b7c923ca6b.bindPopup(popup_9721a9320fd14e0e8523414dffabc5fb)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fca17703fd0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#!pip install folium\n",
    "import folium\n",
    "# create map of Toronto using latitude and longitude values\n",
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, label in zip(df_final['Latitude'], df_final['Longitude'], df_final['Neighborhood']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we are going to start utilizing the Foursquare API to explore the neighborhoods and segment them."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define Foursquare Credentials and Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: VCFQR0E1BTCZWQVRND3OYBOZY5FJDY0YT2RN35CRKJKJEQP4\n",
      "CLIENT_SECRET:FNCWVTOWKKLIHTHLFYKGYQCT5BDFW2BWYSUUY1AMLM0CQULU\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'VCFQR0E1BTCZWQVRND3OYBOZY5FJDY0YT2RN35CRKJKJEQP4' # your Foursquare ID\n",
    "CLIENT_SECRET = 'FNCWVTOWKKLIHTHLFYKGYQCT5BDFW2BWYSUUY1AMLM0CQULU' # 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": [
    "#### Let's explore the first neighborhood in our dataframe."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the neighborhood's latitude and longitude values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Parkwoods are 43.7532586, -79.3296565.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = df_final.loc[0, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = df_final.loc[0, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = df_final.loc[0, 'Neighborhood'] # neighborhood name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now, let's get the top 100 venues that are in Parkwoods within a radius of 2500 meters."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We define the url first:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?&client_id=VCFQR0E1BTCZWQVRND3OYBOZY5FJDY0YT2RN35CRKJKJEQP4&client_secret=FNCWVTOWKKLIHTHLFYKGYQCT5BDFW2BWYSUUY1AMLM0CQULU&v=20180605&ll=43.7532586,-79.3296565&radius=2500&limit=100'"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LIMIT = 100 # limit of number of venues returned by Foursquare API\n",
    "radius = 2500 # define radius\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "    CLIENT_ID, \n",
    "    CLIENT_SECRET, \n",
    "    VERSION, \n",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)\n",
    "url # display URL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get result from that url:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5ebb4d0cbae9a2001b81f73b'},\n",
       " 'response': {'suggestedFilters': {'header': 'Tap to show:',\n",
       "   'filters': [{'name': 'Open now', 'key': 'openNow'}]},\n",
       "  'headerLocation': 'Toronto',\n",
       "  'headerFullLocation': 'Toronto',\n",
       "  'headerLocationGranularity': 'city',\n",
       "  'totalResults': 198,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.77575862250003,\n",
       "    'lng': -79.29856519924638},\n",
       "   'sw': {'lat': 43.73075857749998, 'lng': -79.36074780075361}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b8991cbf964a520814232e3',\n",
       "       'name': \"Allwyn's Bakery\",\n",
       "       'location': {'address': '81 Underhill drive',\n",
       "        'lat': 43.75984035203157,\n",
       "        'lng': -79.32471879917513,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.75984035203157,\n",
       "          'lng': -79.32471879917513}],\n",
       "        'distance': 833,\n",
       "        'postalCode': 'M3A 1Z5',\n",
       "        'cc': 'CA',\n",
       "        'neighborhood': 'Parkwoods - Donalda',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['81 Underhill drive',\n",
       "         'Toronto ON M3A 1Z5',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d144941735',\n",
       "         'name': 'Caribbean Restaurant',\n",
       "         'pluralName': 'Caribbean Restaurants',\n",
       "         'shortName': 'Caribbean',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/caribbean_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b8991cbf964a520814232e3-0'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4bd4846a6798ef3bd0c5618d',\n",
       "       'name': 'Donalda Golf & Country Club',\n",
       "       'location': {'address': '12 Bushbury Dr',\n",
       "        'lat': 43.75281596740471,\n",
       "        'lng': -79.34274125604858,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.75281596740471,\n",
       "          'lng': -79.34274125604858}],\n",
       "        'distance': 1053,\n",
       "        'postalCode': 'M3A 2Z7',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Don Mills',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['12 Bushbury Dr',\n",
       "         'Don Mills ON M3A 2Z7',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1e6941735',\n",
       "         'name': 'Golf Course',\n",
       "         'pluralName': 'Golf Courses',\n",
       "         'shortName': 'Golf Course',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/golfcourse_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4bd4846a6798ef3bd0c5618d-1'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4e8d9dcdd5fbbbb6b3003c7b',\n",
       "       'name': 'Brookbanks Park',\n",
       "       'location': {'address': 'Toronto',\n",
       "        'lat': 43.751976046055574,\n",
       "        'lng': -79.33214044722958,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.751976046055574,\n",
       "          'lng': -79.33214044722958}],\n",
       "        'distance': 245,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Toronto', 'Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d163941735',\n",
       "         'name': 'Park',\n",
       "         'pluralName': 'Parks',\n",
       "         'shortName': 'Park',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4e8d9dcdd5fbbbb6b3003c7b-2'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b0aed06f964a520202a23e3',\n",
       "       'name': 'Island Foods',\n",
       "       'location': {'address': '1310 Don Mills Rd.',\n",
       "        'lat': 43.745866073988985,\n",
       "        'lng': -79.34603533317939,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.745866073988985,\n",
       "          'lng': -79.34603533317939}],\n",
       "        'distance': 1553,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['1310 Don Mills Rd.', 'Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d144941735',\n",
       "         'name': 'Caribbean Restaurant',\n",
       "         'pluralName': 'Caribbean Restaurants',\n",
       "         'shortName': 'Caribbean',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/caribbean_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b0aed06f964a520202a23e3-3'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ccec87654f0b1f7f32824ca',\n",
       "       'name': 'Galleria Supermarket',\n",
       "       'location': {'address': '865 York Mills Rd.',\n",
       "        'crossStreet': 'at Upjohn Rd.',\n",
       "        'lat': 43.75352001200256,\n",
       "        'lng': -79.34951815337949,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.75352001200256,\n",
       "          'lng': -79.34951815337949}],\n",
       "        'distance': 1597,\n",
       "        'postalCode': 'M3B 1Y5',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['865 York Mills Rd. (at Upjohn Rd.)',\n",
       "         'Toronto ON M3B 1Y5',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '52f2ab2ebcbc57f1066b8b46',\n",
       "         'name': 'Supermarket',\n",
       "         'pluralName': 'Supermarkets',\n",
       "         'shortName': 'Supermarket',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/food_grocery_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4ccec87654f0b1f7f32824ca-4'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b8ec91af964a520053733e3',\n",
       "       'name': 'Graydon Hall Manor',\n",
       "       'location': {'address': '185 Graydon Hall Drive',\n",
       "        'lat': 43.76392256055678,\n",
       "        'lng': -79.34296075662587,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.76392256055678,\n",
       "          'lng': -79.34296075662587}],\n",
       "        'distance': 1597,\n",
       "        'postalCode': 'M3A 3B4',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['185 Graydon Hall Drive',\n",
       "         'Toronto ON M3A 3B4',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d171941735',\n",
       "         'name': 'Event Space',\n",
       "         'pluralName': 'Event Spaces',\n",
       "         'shortName': 'Event Space',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/eventspace_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []},\n",
       "       'venuePage': {'id': '52496423'}},\n",
       "      'referralId': 'e-0-4b8ec91af964a520053733e3-5'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4bdccf4cafe8c9b6da285185',\n",
       "       'name': 'LCBO',\n",
       "       'location': {'address': 'Parkway Mall',\n",
       "        'crossStreet': '5 Ellesmere Rd.',\n",
       "        'lat': 43.75777384662435,\n",
       "        'lng': -79.31425673330513,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.75777384662435,\n",
       "          'lng': -79.31425673330513}],\n",
       "        'distance': 1336,\n",
       "        'postalCode': 'M1R 4B7',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Parkway Mall (5 Ellesmere Rd.)',\n",
       "         'Toronto ON M1R 4B7',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d186941735',\n",
       "         'name': 'Liquor Store',\n",
       "         'pluralName': 'Liquor Stores',\n",
       "         'shortName': 'Liquor Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/food_liquor_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4bdccf4cafe8c9b6da285185-6'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '5737698bcd10aa51361abad8',\n",
       "       'name': \"The Captain's Boil\",\n",
       "       'location': {'address': '10A-865 York Mills Road',\n",
       "        'lat': 43.75498562271514,\n",
       "        'lng': -79.34952402878943,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.75498562271514,\n",
       "          'lng': -79.34952402878943}],\n",
       "        'distance': 1609,\n",
       "        'postalCode': 'M3B 1Y6',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['10A-865 York Mills Road',\n",
       "         'Toronto ON M3B 1Y6',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1ce941735',\n",
       "         'name': 'Seafood Restaurant',\n",
       "         'pluralName': 'Seafood Restaurants',\n",
       "         'shortName': 'Seafood',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/seafood_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-5737698bcd10aa51361abad8-7'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4d0bf09d3bc0b60c7e5bd174',\n",
       "       'name': 'Damas Grillhouse & Juice Bar',\n",
       "       'location': {'address': '1795 Victoria Park Ave',\n",
       "        'crossStreet': 'Lawrence',\n",
       "        'lat': 43.74183944758683,\n",
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       "      'referralId': 'e-0-4fb699dd7bebbeb2a6c7badb-91'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '57069dd6498ea2b2dc6a3e6a',\n",
       "       'name': 'Kwan Dim Sum',\n",
       "       'location': {'address': '808 York Mills Rd Unit 8',\n",
       "        'lat': 43.75425617395789,\n",
       "        'lng': -79.35857045329246,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.75425617395789,\n",
       "          'lng': -79.35857045329246}],\n",
       "        'distance': 2327,\n",
       "        'postalCode': 'M3B 1X8',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['808 York Mills Rd Unit 8',\n",
       "         'Toronto ON M3B 1X8',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1f5931735',\n",
       "         'name': 'Dim Sum Restaurant',\n",
       "         'pluralName': 'Dim Sum Restaurants',\n",
       "         'shortName': 'Dim Sum',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/dimsum_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-57069dd6498ea2b2dc6a3e6a-92'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b5214b4f964a520506627e3',\n",
       "       'name': 'LCBO',\n",
       "       'location': {'address': '195 The Donway W',\n",
       "        'crossStreet': 'Shops At Don Mills',\n",
       "        'lat': 43.73632288176399,\n",
       "        'lng': -79.34611450909887,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.73632288176399,\n",
       "          'lng': -79.34611450909887}],\n",
       "        'distance': 2303,\n",
       "        'postalCode': 'M3C 0H6',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['195 The Donway W (Shops At Don Mills)',\n",
       "         'Toronto ON M3C 0H6',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d186941735',\n",
       "         'name': 'Liquor Store',\n",
       "         'pluralName': 'Liquor Stores',\n",
       "         'shortName': 'Liquor Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/food_liquor_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b5214b4f964a520506627e3-93'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4c296a65e19720a11990f958',\n",
       "       'name': 'Tekka Sushi',\n",
       "       'location': {'address': '103 Parkway Forest Drive',\n",
       "        'crossStreet': 'at Sheppard Ave. E',\n",
       "        'lat': 43.77417136429855,\n",
       "        'lng': -79.3404009228877,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.77417136429855,\n",
       "          'lng': -79.3404009228877}],\n",
       "        'distance': 2483,\n",
       "        'cc': 'CA',\n",
       "        'neighborhood': 'Parkway Forest',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['103 Parkway Forest Drive (at Sheppard Ave. E)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d111941735',\n",
       "         'name': 'Japanese Restaurant',\n",
       "         'pluralName': 'Japanese Restaurants',\n",
       "         'shortName': 'Japanese',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/japanese_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4c296a65e19720a11990f958-94'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4c02aa4a9a7920a107c4ce79',\n",
       "       'name': 'The Beer Store',\n",
       "       'location': {'address': '40 Ellesmere Rd',\n",
       "        'lat': 43.7582748,\n",
       "        'lng': -79.3137052,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.7582748,\n",
       "          'lng': -79.3137052}],\n",
       "        'distance': 1398,\n",
       "        'postalCode': 'M1R 4C1',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Scarborough',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['40 Ellesmere Rd',\n",
       "         'Scarborough ON M1R 4C1',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '5370f356bcbc57f1066c94c2',\n",
       "         'name': 'Beer Store',\n",
       "         'pluralName': 'Beer Stores',\n",
       "         'shortName': 'Beer Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/beergarden_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4c02aa4a9a7920a107c4ce79-95'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4c422e48e26920a1a4ad5fe7',\n",
       "       'name': 'Shoppers Drug Mart',\n",
       "       'location': {'address': '1277 York Mills Rd',\n",
       "        'crossStreet': 'At Parkwoods Village Drive',\n",
       "        'lat': 43.76085733239677,\n",
       "        'lng': -79.32496051573521,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.76085733239677,\n",
       "          'lng': -79.32496051573521}],\n",
       "        'distance': 926,\n",
       "        'postalCode': 'M3A 1Z5',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['1277 York Mills Rd (At Parkwoods Village Drive)',\n",
       "         'Toronto ON M3A 1Z5',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d10f951735',\n",
       "         'name': 'Pharmacy',\n",
       "         'pluralName': 'Pharmacies',\n",
       "         'shortName': 'Pharmacy',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/pharmacy_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4c422e48e26920a1a4ad5fe7-96'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ad8bf7df964a5204c1421e3',\n",
       "       'name': 'Starbucks',\n",
       "       'location': {'address': '2555 Victoria Park Avenue',\n",
       "        'crossStreet': 'at Consumers Rd',\n",
       "        'lat': 43.773219,\n",
       "        'lng': -79.321634,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.773219,\n",
       "          'lng': -79.321634}],\n",
       "        'distance': 2313,\n",
       "        'postalCode': 'M1T 1A3',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['2555 Victoria Park Avenue (at Consumers Rd)',\n",
       "         'Toronto ON M1T 1A3',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1e0931735',\n",
       "         'name': 'Coffee Shop',\n",
       "         'pluralName': 'Coffee Shops',\n",
       "         'shortName': 'Coffee Shop',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4ad8bf7df964a5204c1421e3-97'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '5269be82498e1cf7de5d5dd4',\n",
       "       'name': 'Super Hakka Restaurant',\n",
       "       'location': {'address': '1801 Lawrence Ave E',\n",
       "        'lat': 43.74289206733354,\n",
       "        'lng': -79.30494945617208,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.74289206733354,\n",
       "          'lng': -79.30494945617208}],\n",
       "        'distance': 2297,\n",
       "        'postalCode': 'M1R 2X7',\n",
       "        'cc': 'CA',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['1801 Lawrence Ave E', 'M1R 2X7', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d145941735',\n",
       "         'name': 'Chinese Restaurant',\n",
       "         'pluralName': 'Chinese Restaurants',\n",
       "         'shortName': 'Chinese',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/asian_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-5269be82498e1cf7de5d5dd4-98'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b3843c7f964a5203e4d25e3',\n",
       "       'name': 'Beauty Boutique by Shoppers Drug Mart',\n",
       "       'location': {'address': '946 Lawrence Ave E',\n",
       "        'lat': 43.737261,\n",
       "        'lng': -79.345868,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.737261,\n",
       "          'lng': -79.345868}],\n",
       "        'distance': 2207,\n",
       "        'postalCode': 'M3C 1R1',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['946 Lawrence Ave E',\n",
       "         'Toronto ON M3C 1R1',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d10c951735',\n",
       "         'name': 'Cosmetics Shop',\n",
       "         'pluralName': 'Cosmetics Shops',\n",
       "         'shortName': 'Cosmetics',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/beauty_cosmetic_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b3843c7f964a5203e4d25e3-99'}]}]}}"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define get_category_type function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the result:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Allwyn's Bakery</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>43.759840</td>\n",
       "      <td>-79.324719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Donalda Golf &amp; Country Club</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>43.752816</td>\n",
       "      <td>-79.342741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brookbanks Park</td>\n",
       "      <td>Park</td>\n",
       "      <td>43.751976</td>\n",
       "      <td>-79.332140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Island Foods</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>43.745866</td>\n",
       "      <td>-79.346035</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Galleria Supermarket</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>43.753520</td>\n",
       "      <td>-79.349518</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          name            categories        lat        lng\n",
       "0              Allwyn's Bakery  Caribbean Restaurant  43.759840 -79.324719\n",
       "1  Donalda Golf & Country Club           Golf Course  43.752816 -79.342741\n",
       "2              Brookbanks Park                  Park  43.751976 -79.332140\n",
       "3                 Island Foods  Caribbean Restaurant  43.745866 -79.346035\n",
       "4         Galleria Supermarket           Supermarket  43.753520 -79.349518"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues = results['response']['groups'][0]['items']\n",
    "    \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Shape of the first neighbourhood 100 top venues:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 4)"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nearby_venues.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we want to work with only boroughs that contain the word Toronto. First we generate the data set:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M5N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville North</td>\n",
       "      <td>43.712751</td>\n",
       "      <td>-79.390197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Forest Hill North &amp; West</td>\n",
       "      <td>43.696948</td>\n",
       "      <td>-79.411307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>43.715383</td>\n",
       "      <td>-79.405678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>43.672710</td>\n",
       "      <td>-79.405678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M4S</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>43.704324</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M4T</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>43.689574</td>\n",
       "      <td>-79.383160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M4V</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Summerhill West, Rathnelly, South Hill, Forest...</td>\n",
       "      <td>43.686412</td>\n",
       "      <td>-79.400049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M4N</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>43.728020</td>\n",
       "      <td>-79.388790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M5T</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Kensington Market, Chinatown, Grange Park</td>\n",
       "      <td>43.653206</td>\n",
       "      <td>-79.400049</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal Code           Borough  \\\n",
       "0         M5N   Central Toronto   \n",
       "1         M4P   Central Toronto   \n",
       "2         M5P   Central Toronto   \n",
       "3         M4R   Central Toronto   \n",
       "4         M5R   Central Toronto   \n",
       "5         M4S   Central Toronto   \n",
       "6         M4T   Central Toronto   \n",
       "7         M4V   Central Toronto   \n",
       "8         M4N   Central Toronto   \n",
       "9         M5T  Downtown Toronto   \n",
       "\n",
       "                                        Neighborhood   Latitude  Longitude  \n",
       "0                                           Roselawn  43.711695 -79.416936  \n",
       "1                                   Davisville North  43.712751 -79.390197  \n",
       "2                           Forest Hill North & West  43.696948 -79.411307  \n",
       "3                                 North Toronto West  43.715383 -79.405678  \n",
       "4                The Annex, North Midtown, Yorkville  43.672710 -79.405678  \n",
       "5                                         Davisville  43.704324 -79.388790  \n",
       "6                        Moore Park, Summerhill East  43.689574 -79.383160  \n",
       "7  Summerhill West, Rathnelly, South Hill, Forest...  43.686412 -79.400049  \n",
       "8                                      Lawrence Park  43.728020 -79.388790  \n",
       "9          Kensington Market, Chinatown, Grange Park  43.653206 -79.400049  "
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_data= df_final[df_final['Borough'].str.contains('Toronto')]\n",
    "Toronto_data=Toronto_data.sort_values(by='Borough')\n",
    "Toronto_data.reset_index(drop=True,inplace=True)\n",
    "Toronto_data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39, 5)"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Toronto_data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define a function to loop over all neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=1000):\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": "markdown",
   "metadata": {},
   "source": [
    "Create a newdataframe called toronto_venues to record all venues "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Roselawn\n",
      "Davisville North\n",
      "Forest Hill North & West\n",
      "North Toronto West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Davisville\n",
      "Moore Park, Summerhill East\n",
      "Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\n",
      "Lawrence Park\n",
      "Kensington Market, Chinatown, Grange Park\n",
      "Church and Wellesley\n",
      "University of Toronto, Harbord\n",
      "CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\n",
      "Rosedale\n",
      "Stn A PO Boxes\n",
      "St. James Town, Cabbagetown\n",
      "First Canadian Place, Underground city\n",
      "Regent Park, Harbourfront\n",
      "Commerce Court, Victoria Hotel\n",
      "Queen's Park, Ontario Provincial Government\n",
      "Garden District, Ryerson\n",
      "Toronto Dominion Centre, Design Exchange\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Harbourfront East, Union Station, Toronto Islands\n",
      "Christie\n",
      "Richmond, Adelaide, King\n",
      "The Beaches\n",
      "Business reply mail Processing Centre\n",
      "The Danforth West, Riverdale\n",
      "India Bazaar, The Beaches West\n",
      "Studio District\n",
      "Dufferin, Dovercourt Village\n",
      "Parkdale, Roncesvalles\n",
      "Little Portugal, Trinity\n",
      "High Park, The Junction South\n",
      "Brockton, Parkdale Village, Exhibition Place\n",
      "Runnymede, Swansea\n"
     ]
    }
   ],
   "source": [
    "toronto_venues = getNearbyVenues(names=Toronto_data['Neighborhood'],\n",
    "                                   latitudes=Toronto_data['Latitude'],\n",
    "                                   longitudes=Toronto_data['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check the size of the resulting dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3202, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "      <td>The Abbot</td>\n",
       "      <td>43.703688</td>\n",
       "      <td>-79.413485</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "      <td>Hotel Gelato</td>\n",
       "      <td>43.703478</td>\n",
       "      <td>-79.414311</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "      <td>The Mad Bean Coffee House</td>\n",
       "      <td>43.703529</td>\n",
       "      <td>-79.413698</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "      <td>7 Numbers</td>\n",
       "      <td>43.703630</td>\n",
       "      <td>-79.413724</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>43.711695</td>\n",
       "      <td>-79.416936</td>\n",
       "      <td>Ferraro</td>\n",
       "      <td>43.703655</td>\n",
       "      <td>-79.413167</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0     Roselawn              43.711695              -79.416936   \n",
       "1     Roselawn              43.711695              -79.416936   \n",
       "2     Roselawn              43.711695              -79.416936   \n",
       "3     Roselawn              43.711695              -79.416936   \n",
       "4     Roselawn              43.711695              -79.416936   \n",
       "\n",
       "                       Venue  Venue Latitude  Venue Longitude  \\\n",
       "0                  The Abbot       43.703688       -79.413485   \n",
       "1               Hotel Gelato       43.703478       -79.414311   \n",
       "2  The Mad Bean Coffee House       43.703529       -79.413698   \n",
       "3                  7 Numbers       43.703630       -79.413724   \n",
       "4                    Ferraro       43.703655       -79.413167   \n",
       "\n",
       "       Venue Category  \n",
       "0           Gastropub  \n",
       "1                Café  \n",
       "2         Coffee Shop  \n",
       "3  Italian Restaurant  \n",
       "4  Italian Restaurant  "
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(toronto_venues.shape)\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "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 Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Berczy Park</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brockton, Parkdale Village, Exhibition Place</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Business reply mail Processing Centre</th>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bay Street</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christie</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Church and Wellesley</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Commerce Court, Victoria Hotel</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville North</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dufferin, Dovercourt Village</th>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>First Canadian Place, Underground city</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forest Hill North &amp; West</th>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garden District, Ryerson</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbourfront East, Union Station, Toronto Islands</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High Park, The Junction South</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India Bazaar, The Beaches West</th>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kensington Market, Chinatown, Grange Park</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lawrence Park</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Little Portugal, Trinity</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moore Park, Summerhill East</th>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>North Toronto West</th>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Parkdale, Roncesvalles</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queen's Park, Ontario Provincial Government</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Regent Park, Harbourfront</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Richmond, Adelaide, King</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosedale</th>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roselawn</th>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Runnymede, Swansea</th>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. James Town</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. James Town, Cabbagetown</th>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stn A PO Boxes</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio District</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park</th>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Annex, North Midtown, Yorkville</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Beaches</th>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Danforth West, Riverdale</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toronto Dominion Centre, Design Exchange</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University of Toronto, Harbord</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Berczy Park                                                           100   \n",
       "Brockton, Parkdale Village, Exhibition Place                          100   \n",
       "Business reply mail Processing Centre                                  49   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...                     16   \n",
       "Central Bay Street                                                    100   \n",
       "Christie                                                              100   \n",
       "Church and Wellesley                                                  100   \n",
       "Commerce Court, Victoria Hotel                                        100   \n",
       "Davisville                                                            100   \n",
       "Davisville North                                                      100   \n",
       "Dufferin, Dovercourt Village                                           67   \n",
       "First Canadian Place, Underground city                                100   \n",
       "Forest Hill North & West                                               45   \n",
       "Garden District, Ryerson                                              100   \n",
       "Harbourfront East, Union Station, Toronto Islands                     100   \n",
       "High Park, The Junction South                                         100   \n",
       "India Bazaar, The Beaches West                                         83   \n",
       "Kensington Market, Chinatown, Grange Park                             100   \n",
       "Lawrence Park                                                           9   \n",
       "Little Portugal, Trinity                                              100   \n",
       "Moore Park, Summerhill East                                            65   \n",
       "North Toronto West                                                     46   \n",
       "Parkdale, Roncesvalles                                                100   \n",
       "Queen's Park, Ontario Provincial Government                           100   \n",
       "Regent Park, Harbourfront                                             100   \n",
       "Richmond, Adelaide, King                                              100   \n",
       "Rosedale                                                               21   \n",
       "Roselawn                                                               24   \n",
       "Runnymede, Swansea                                                     82   \n",
       "St. James Town                                                        100   \n",
       "St. James Town, Cabbagetown                                            35   \n",
       "Stn A PO Boxes                                                        100   \n",
       "Studio District                                                       100   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...                     80   \n",
       "The Annex, North Midtown, Yorkville                                   100   \n",
       "The Beaches                                                            80   \n",
       "The Danforth West, Riverdale                                          100   \n",
       "Toronto Dominion Centre, Design Exchange                              100   \n",
       "University of Toronto, Harbord                                        100   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Berczy Park                                                            100   \n",
       "Brockton, Parkdale Village, Exhibition Place                           100   \n",
       "Business reply mail Processing Centre                                   49   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...                      16   \n",
       "Central Bay Street                                                     100   \n",
       "Christie                                                               100   \n",
       "Church and Wellesley                                                   100   \n",
       "Commerce Court, Victoria Hotel                                         100   \n",
       "Davisville                                                             100   \n",
       "Davisville North                                                       100   \n",
       "Dufferin, Dovercourt Village                                            67   \n",
       "First Canadian Place, Underground city                                 100   \n",
       "Forest Hill North & West                                                45   \n",
       "Garden District, Ryerson                                               100   \n",
       "Harbourfront East, Union Station, Toronto Islands                      100   \n",
       "High Park, The Junction South                                          100   \n",
       "India Bazaar, The Beaches West                                          83   \n",
       "Kensington Market, Chinatown, Grange Park                              100   \n",
       "Lawrence Park                                                            9   \n",
       "Little Portugal, Trinity                                               100   \n",
       "Moore Park, Summerhill East                                             65   \n",
       "North Toronto West                                                      46   \n",
       "Parkdale, Roncesvalles                                                 100   \n",
       "Queen's Park, Ontario Provincial Government                            100   \n",
       "Regent Park, Harbourfront                                              100   \n",
       "Richmond, Adelaide, King                                               100   \n",
       "Rosedale                                                                21   \n",
       "Roselawn                                                                24   \n",
       "Runnymede, Swansea                                                      82   \n",
       "St. James Town                                                         100   \n",
       "St. James Town, Cabbagetown                                             35   \n",
       "Stn A PO Boxes                                                         100   \n",
       "Studio District                                                        100   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...                      80   \n",
       "The Annex, North Midtown, Yorkville                                    100   \n",
       "The Beaches                                                             80   \n",
       "The Danforth West, Riverdale                                           100   \n",
       "Toronto Dominion Centre, Design Exchange                               100   \n",
       "University of Toronto, Harbord                                         100   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Berczy Park                                           100             100   \n",
       "Brockton, Parkdale Village, Exhibition Place          100             100   \n",
       "Business reply mail Processing Centre                  49              49   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...     16              16   \n",
       "Central Bay Street                                    100             100   \n",
       "Christie                                              100             100   \n",
       "Church and Wellesley                                  100             100   \n",
       "Commerce Court, Victoria Hotel                        100             100   \n",
       "Davisville                                            100             100   \n",
       "Davisville North                                      100             100   \n",
       "Dufferin, Dovercourt Village                           67              67   \n",
       "First Canadian Place, Underground city                100             100   \n",
       "Forest Hill North & West                               45              45   \n",
       "Garden District, Ryerson                              100             100   \n",
       "Harbourfront East, Union Station, Toronto Islands     100             100   \n",
       "High Park, The Junction South                         100             100   \n",
       "India Bazaar, The Beaches West                         83              83   \n",
       "Kensington Market, Chinatown, Grange Park             100             100   \n",
       "Lawrence Park                                           9               9   \n",
       "Little Portugal, Trinity                              100             100   \n",
       "Moore Park, Summerhill East                            65              65   \n",
       "North Toronto West                                     46              46   \n",
       "Parkdale, Roncesvalles                                100             100   \n",
       "Queen's Park, Ontario Provincial Government           100             100   \n",
       "Regent Park, Harbourfront                             100             100   \n",
       "Richmond, Adelaide, King                              100             100   \n",
       "Rosedale                                               21              21   \n",
       "Roselawn                                               24              24   \n",
       "Runnymede, Swansea                                     82              82   \n",
       "St. James Town                                        100             100   \n",
       "St. James Town, Cabbagetown                            35              35   \n",
       "Stn A PO Boxes                                        100             100   \n",
       "Studio District                                       100             100   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...     80              80   \n",
       "The Annex, North Midtown, Yorkville                   100             100   \n",
       "The Beaches                                            80              80   \n",
       "The Danforth West, Riverdale                          100             100   \n",
       "Toronto Dominion Centre, Design Exchange              100             100   \n",
       "University of Toronto, Harbord                        100             100   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Berczy Park                                                     100   \n",
       "Brockton, Parkdale Village, Exhibition Place                    100   \n",
       "Business reply mail Processing Centre                            49   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...               16   \n",
       "Central Bay Street                                              100   \n",
       "Christie                                                        100   \n",
       "Church and Wellesley                                            100   \n",
       "Commerce Court, Victoria Hotel                                  100   \n",
       "Davisville                                                      100   \n",
       "Davisville North                                                100   \n",
       "Dufferin, Dovercourt Village                                     67   \n",
       "First Canadian Place, Underground city                          100   \n",
       "Forest Hill North & West                                         45   \n",
       "Garden District, Ryerson                                        100   \n",
       "Harbourfront East, Union Station, Toronto Islands               100   \n",
       "High Park, The Junction South                                   100   \n",
       "India Bazaar, The Beaches West                                   83   \n",
       "Kensington Market, Chinatown, Grange Park                       100   \n",
       "Lawrence Park                                                     9   \n",
       "Little Portugal, Trinity                                        100   \n",
       "Moore Park, Summerhill East                                      65   \n",
       "North Toronto West                                               46   \n",
       "Parkdale, Roncesvalles                                          100   \n",
       "Queen's Park, Ontario Provincial Government                     100   \n",
       "Regent Park, Harbourfront                                       100   \n",
       "Richmond, Adelaide, King                                        100   \n",
       "Rosedale                                                         21   \n",
       "Roselawn                                                         24   \n",
       "Runnymede, Swansea                                               82   \n",
       "St. James Town                                                  100   \n",
       "St. James Town, Cabbagetown                                      35   \n",
       "Stn A PO Boxes                                                  100   \n",
       "Studio District                                                 100   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...               80   \n",
       "The Annex, North Midtown, Yorkville                             100   \n",
       "The Beaches                                                      80   \n",
       "The Danforth West, Riverdale                                    100   \n",
       "Toronto Dominion Centre, Design Exchange                        100   \n",
       "University of Toronto, Harbord                                  100   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Berczy Park                                                    100  \n",
       "Brockton, Parkdale Village, Exhibition Place                   100  \n",
       "Business reply mail Processing Centre                           49  \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...              16  \n",
       "Central Bay Street                                             100  \n",
       "Christie                                                       100  \n",
       "Church and Wellesley                                           100  \n",
       "Commerce Court, Victoria Hotel                                 100  \n",
       "Davisville                                                     100  \n",
       "Davisville North                                               100  \n",
       "Dufferin, Dovercourt Village                                    67  \n",
       "First Canadian Place, Underground city                         100  \n",
       "Forest Hill North & West                                        45  \n",
       "Garden District, Ryerson                                       100  \n",
       "Harbourfront East, Union Station, Toronto Islands              100  \n",
       "High Park, The Junction South                                  100  \n",
       "India Bazaar, The Beaches West                                  83  \n",
       "Kensington Market, Chinatown, Grange Park                      100  \n",
       "Lawrence Park                                                    9  \n",
       "Little Portugal, Trinity                                       100  \n",
       "Moore Park, Summerhill East                                     65  \n",
       "North Toronto West                                              46  \n",
       "Parkdale, Roncesvalles                                         100  \n",
       "Queen's Park, Ontario Provincial Government                    100  \n",
       "Regent Park, Harbourfront                                      100  \n",
       "Richmond, Adelaide, King                                       100  \n",
       "Rosedale                                                        21  \n",
       "Roselawn                                                        24  \n",
       "Runnymede, Swansea                                              82  \n",
       "St. James Town                                                 100  \n",
       "St. James Town, Cabbagetown                                     35  \n",
       "Stn A PO Boxes                                                 100  \n",
       "Studio District                                                100  \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...              80  \n",
       "The Annex, North Midtown, Yorkville                            100  \n",
       "The Beaches                                                     80  \n",
       "The Danforth West, Riverdale                                   100  \n",
       "Toronto Dominion Centre, Design Exchange                       100  \n",
       "University of Toronto, Harbord                                 100  "
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 274 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyze Each Neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "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>Accessories Store</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Amphitheater</th>\n",
       "      <th>Animal Shelter</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Aquarium</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>...</th>\n",
       "      <th>University</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Whisky Bar</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Zoo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 275 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  neighborhood  Accessories Store  Airport  Airport Lounge  \\\n",
       "0     Roselawn                  0        0               0   \n",
       "1     Roselawn                  0        0               0   \n",
       "2     Roselawn                  0        0               0   \n",
       "3     Roselawn                  0        0               0   \n",
       "4     Roselawn                  0        0               0   \n",
       "\n",
       "   American Restaurant  Amphitheater  Animal Shelter  Antique Shop  Aquarium  \\\n",
       "0                    0             0               0             0         0   \n",
       "1                    0             0               0             0         0   \n",
       "2                    0             0               0             0         0   \n",
       "3                    0             0               0             0         0   \n",
       "4                    0             0               0             0         0   \n",
       "\n",
       "   Art Gallery  ...  University  Vegetarian / Vegan Restaurant  \\\n",
       "0            0  ...           0                              0   \n",
       "1            0  ...           0                              0   \n",
       "2            0  ...           0                              0   \n",
       "3            0  ...           0                              0   \n",
       "4            0  ...           0                              0   \n",
       "\n",
       "   Video Game Store  Video Store  Vietnamese Restaurant  Whisky Bar  Wine Bar  \\\n",
       "0                 0            0                      0           0         0   \n",
       "1                 0            0                      0           0         0   \n",
       "2                 0            0                      0           0         0   \n",
       "3                 0            0                      0           0         0   \n",
       "4                 0            0                      0           0         0   \n",
       "\n",
       "   Women's Store  Yoga Studio  Zoo  \n",
       "0              0            0    0  \n",
       "1              0            0    0  \n",
       "2              0            0    0  \n",
       "3              0            0    0  \n",
       "4              0            0    0  \n",
       "\n",
       "[5 rows x 275 columns]"
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "toronto_onehot['neighborhood'] = toronto_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "\n",
    "toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Next, let's group rows by neighborhood and by taking the mean of the frequency of occurrence of each category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "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>Accessories Store</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Amphitheater</th>\n",
       "      <th>Animal Shelter</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Aquarium</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>...</th>\n",
       "      <th>University</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Whisky Bar</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Zoo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Business reply mail Processing Centre</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Christie</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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>Davisville</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Davisville North</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Dufferin, Dovercourt Village</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.014925</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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>12</th>\n",
       "      <td>Forest Hill North &amp; West</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.022222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Harbourfront East, Union Station, Toronto Islands</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.012048</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.012048</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012048</td>\n",
       "      <td>0.012048</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kensington Market, Chinatown, Grange Park</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.015385</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.015385</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.015385</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.021739</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.021739</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.021739</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.021739</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</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>23</th>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Richmond, Adelaide, King</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012195</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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>30</th>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.028571</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Stn A PO Boxes</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Studio District</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Summerhill West, Rathnelly, South Hill, Forest...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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>University of Toronto, Harbord</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>39 rows × 275 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         neighborhood  Accessories Store  \\\n",
       "0                                         Berczy Park               0.00   \n",
       "1        Brockton, Parkdale Village, Exhibition Place               0.01   \n",
       "2               Business reply mail Processing Centre               0.00   \n",
       "3   CN Tower, King and Spadina, Railway Lands, Har...               0.00   \n",
       "4                                  Central Bay Street               0.00   \n",
       "5                                            Christie               0.00   \n",
       "6                                Church and Wellesley               0.00   \n",
       "7                      Commerce Court, Victoria Hotel               0.00   \n",
       "8                                          Davisville               0.00   \n",
       "9                                    Davisville North               0.00   \n",
       "10                       Dufferin, Dovercourt Village               0.00   \n",
       "11             First Canadian Place, Underground city               0.00   \n",
       "12                           Forest Hill North & West               0.00   \n",
       "13                           Garden District, Ryerson               0.00   \n",
       "14  Harbourfront East, Union Station, Toronto Islands               0.00   \n",
       "15                      High Park, The Junction South               0.00   \n",
       "16                     India Bazaar, The Beaches West               0.00   \n",
       "17          Kensington Market, Chinatown, Grange Park               0.00   \n",
       "18                                      Lawrence Park               0.00   \n",
       "19                           Little Portugal, Trinity               0.00   \n",
       "20                        Moore Park, Summerhill East               0.00   \n",
       "21                                 North Toronto West               0.00   \n",
       "22                             Parkdale, Roncesvalles               0.00   \n",
       "23        Queen's Park, Ontario Provincial Government               0.00   \n",
       "24                          Regent Park, Harbourfront               0.00   \n",
       "25                           Richmond, Adelaide, King               0.00   \n",
       "26                                           Rosedale               0.00   \n",
       "27                                           Roselawn               0.00   \n",
       "28                                 Runnymede, Swansea               0.00   \n",
       "29                                     St. James Town               0.00   \n",
       "30                        St. James Town, Cabbagetown               0.00   \n",
       "31                                     Stn A PO Boxes               0.00   \n",
       "32                                    Studio District               0.00   \n",
       "33  Summerhill West, Rathnelly, South Hill, Forest...               0.00   \n",
       "34                The Annex, North Midtown, Yorkville               0.00   \n",
       "35                                        The Beaches               0.00   \n",
       "36                       The Danforth West, Riverdale               0.00   \n",
       "37           Toronto Dominion Centre, Design Exchange               0.00   \n",
       "38                     University of Toronto, Harbord               0.00   \n",
       "\n",
       "    Airport  Airport Lounge  American Restaurant  Amphitheater  \\\n",
       "0    0.0000          0.0000             0.010000          0.00   \n",
       "1    0.0000          0.0000             0.010000          0.00   \n",
       "2    0.0000          0.0000             0.020408          0.00   \n",
       "3    0.0625          0.0625             0.000000          0.00   \n",
       "4    0.0000          0.0000             0.010000          0.00   \n",
       "5    0.0000          0.0000             0.010000          0.00   \n",
       "6    0.0000          0.0000             0.010000          0.00   \n",
       "7    0.0000          0.0000             0.020000          0.00   \n",
       "8    0.0000          0.0000             0.000000          0.00   \n",
       "9    0.0000          0.0000             0.000000          0.00   \n",
       "10   0.0000          0.0000             0.000000          0.00   \n",
       "11   0.0000          0.0000             0.020000          0.00   \n",
       "12   0.0000          0.0000             0.000000          0.00   \n",
       "13   0.0000          0.0000             0.010000          0.00   \n",
       "14   0.0000          0.0000             0.000000          0.00   \n",
       "15   0.0000          0.0000             0.000000          0.00   \n",
       "16   0.0000          0.0000             0.000000          0.00   \n",
       "17   0.0000          0.0000             0.000000          0.00   \n",
       "18   0.0000          0.0000             0.000000          0.00   \n",
       "19   0.0000          0.0000             0.010000          0.00   \n",
       "20   0.0000          0.0000             0.015385          0.00   \n",
       "21   0.0000          0.0000             0.000000          0.00   \n",
       "22   0.0000          0.0000             0.020000          0.02   \n",
       "23   0.0000          0.0000             0.000000          0.00   \n",
       "24   0.0000          0.0000             0.000000          0.00   \n",
       "25   0.0000          0.0000             0.020000          0.00   \n",
       "26   0.0000          0.0000             0.000000          0.00   \n",
       "27   0.0000          0.0000             0.000000          0.00   \n",
       "28   0.0000          0.0000             0.012195          0.00   \n",
       "29   0.0000          0.0000             0.020000          0.00   \n",
       "30   0.0000          0.0000             0.028571          0.00   \n",
       "31   0.0000          0.0000             0.020000          0.00   \n",
       "32   0.0000          0.0000             0.040000          0.00   \n",
       "33   0.0000          0.0000             0.012500          0.00   \n",
       "34   0.0000          0.0000             0.020000          0.00   \n",
       "35   0.0000          0.0000             0.000000          0.00   \n",
       "36   0.0000          0.0000             0.010000          0.00   \n",
       "37   0.0000          0.0000             0.020000          0.00   \n",
       "38   0.0000          0.0000             0.000000          0.00   \n",
       "\n",
       "    Animal Shelter  Antique Shop  Aquarium  Art Gallery  ...  University  \\\n",
       "0             0.00          0.00      0.00     0.020000  ...        0.00   \n",
       "1             0.00          0.00      0.00     0.010000  ...        0.00   \n",
       "2             0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "3             0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "4             0.00          0.00      0.00     0.020000  ...        0.01   \n",
       "5             0.00          0.00      0.00     0.010000  ...        0.00   \n",
       "6             0.00          0.00      0.00     0.010000  ...        0.00   \n",
       "7             0.00          0.00      0.00     0.020000  ...        0.00   \n",
       "8             0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "9             0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "10            0.00          0.00      0.00     0.014925  ...        0.00   \n",
       "11            0.00          0.00      0.00     0.010000  ...        0.00   \n",
       "12            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "13            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "14            0.00          0.00      0.02     0.010000  ...        0.00   \n",
       "15            0.00          0.01      0.00     0.000000  ...        0.00   \n",
       "16            0.00          0.00      0.00     0.012048  ...        0.00   \n",
       "17            0.00          0.00      0.00     0.030000  ...        0.01   \n",
       "18            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "19            0.00          0.00      0.00     0.010000  ...        0.00   \n",
       "20            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "21            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "22            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "23            0.00          0.00      0.00     0.010000  ...        0.00   \n",
       "24            0.01          0.00      0.00     0.010000  ...        0.00   \n",
       "25            0.00          0.00      0.00     0.020000  ...        0.01   \n",
       "26            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "27            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "28            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "29            0.00          0.00      0.00     0.020000  ...        0.00   \n",
       "30            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "31            0.00          0.00      0.00     0.020000  ...        0.00   \n",
       "32            0.00          0.01      0.00     0.000000  ...        0.00   \n",
       "33            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "34            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "35            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "36            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "37            0.00          0.00      0.01     0.010000  ...        0.00   \n",
       "38            0.00          0.00      0.00     0.000000  ...        0.00   \n",
       "\n",
       "    Vegetarian / Vegan Restaurant  Video Game Store  Video Store  \\\n",
       "0                        0.010000          0.000000         0.00   \n",
       "1                        0.020000          0.000000         0.00   \n",
       "2                        0.000000          0.000000         0.00   \n",
       "3                        0.000000          0.000000         0.00   \n",
       "4                        0.020000          0.000000         0.00   \n",
       "5                        0.020000          0.000000         0.00   \n",
       "6                        0.000000          0.000000         0.01   \n",
       "7                        0.020000          0.000000         0.00   \n",
       "8                        0.010000          0.010000         0.00   \n",
       "9                        0.010000          0.010000         0.00   \n",
       "10                       0.000000          0.000000         0.00   \n",
       "11                       0.020000          0.000000         0.00   \n",
       "12                       0.022222          0.000000         0.00   \n",
       "13                       0.010000          0.000000         0.00   \n",
       "14                       0.020000          0.000000         0.00   \n",
       "15                       0.000000          0.000000         0.00   \n",
       "16                       0.012048          0.000000         0.00   \n",
       "17                       0.040000          0.000000         0.00   \n",
       "18                       0.000000          0.000000         0.00   \n",
       "19                       0.050000          0.000000         0.00   \n",
       "20                       0.000000          0.000000         0.00   \n",
       "21                       0.000000          0.021739         0.00   \n",
       "22                       0.000000          0.000000         0.00   \n",
       "23                       0.010000          0.000000         0.00   \n",
       "24                       0.000000          0.000000         0.00   \n",
       "25                       0.010000          0.000000         0.00   \n",
       "26                       0.000000          0.000000         0.00   \n",
       "27                       0.000000          0.000000         0.00   \n",
       "28                       0.012195          0.000000         0.00   \n",
       "29                       0.010000          0.000000         0.00   \n",
       "30                       0.000000          0.000000         0.00   \n",
       "31                       0.010000          0.000000         0.00   \n",
       "32                       0.010000          0.000000         0.00   \n",
       "33                       0.012500          0.000000         0.00   \n",
       "34                       0.050000          0.000000         0.00   \n",
       "35                       0.012500          0.000000         0.00   \n",
       "36                       0.000000          0.000000         0.00   \n",
       "37                       0.020000          0.000000         0.00   \n",
       "38                       0.030000          0.000000         0.00   \n",
       "\n",
       "    Vietnamese Restaurant  Whisky Bar  Wine Bar  Women's Store  Yoga Studio  \\\n",
       "0                0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "1                0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "2                0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "3                0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "4                0.000000        0.00  0.000000       0.000000     0.020000   \n",
       "5                0.010000        0.00  0.010000       0.000000     0.000000   \n",
       "6                0.000000        0.00  0.000000       0.010000     0.020000   \n",
       "7                0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "8                0.010000        0.00  0.010000       0.000000     0.010000   \n",
       "9                0.010000        0.00  0.010000       0.000000     0.020000   \n",
       "10               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "11               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "12               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "13               0.000000        0.00  0.000000       0.000000     0.010000   \n",
       "14               0.000000        0.00  0.000000       0.000000     0.010000   \n",
       "15               0.010000        0.00  0.000000       0.000000     0.010000   \n",
       "16               0.000000        0.00  0.000000       0.012048     0.012048   \n",
       "17               0.020000        0.00  0.010000       0.000000     0.030000   \n",
       "18               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "19               0.020000        0.01  0.020000       0.000000     0.010000   \n",
       "20               0.015385        0.00  0.000000       0.000000     0.015385   \n",
       "21               0.021739        0.00  0.021739       0.000000     0.021739   \n",
       "22               0.010000        0.00  0.000000       0.000000     0.000000   \n",
       "23               0.000000        0.00  0.000000       0.010000     0.020000   \n",
       "24               0.000000        0.00  0.000000       0.000000     0.010000   \n",
       "25               0.000000        0.00  0.000000       0.000000     0.010000   \n",
       "26               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "27               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "28               0.000000        0.00  0.000000       0.000000     0.012195   \n",
       "29               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "30               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "31               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "32               0.040000        0.00  0.010000       0.000000     0.010000   \n",
       "33               0.012500        0.00  0.012500       0.000000     0.012500   \n",
       "34               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "35               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "36               0.000000        0.00  0.000000       0.000000     0.020000   \n",
       "37               0.000000        0.00  0.000000       0.000000     0.000000   \n",
       "38               0.010000        0.00  0.000000       0.000000     0.010000   \n",
       "\n",
       "     Zoo  \n",
       "0   0.00  \n",
       "1   0.00  \n",
       "2   0.00  \n",
       "3   0.00  \n",
       "4   0.00  \n",
       "5   0.00  \n",
       "6   0.00  \n",
       "7   0.00  \n",
       "8   0.00  \n",
       "9   0.00  \n",
       "10  0.00  \n",
       "11  0.00  \n",
       "12  0.00  \n",
       "13  0.00  \n",
       "14  0.00  \n",
       "15  0.00  \n",
       "16  0.00  \n",
       "17  0.00  \n",
       "18  0.00  \n",
       "19  0.00  \n",
       "20  0.00  \n",
       "21  0.00  \n",
       "22  0.01  \n",
       "23  0.00  \n",
       "24  0.00  \n",
       "25  0.00  \n",
       "26  0.00  \n",
       "27  0.00  \n",
       "28  0.00  \n",
       "29  0.00  \n",
       "30  0.00  \n",
       "31  0.00  \n",
       "32  0.00  \n",
       "33  0.00  \n",
       "34  0.00  \n",
       "35  0.00  \n",
       "36  0.00  \n",
       "37  0.00  \n",
       "38  0.00  \n",
       "\n",
       "[39 rows x 275 columns]"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('neighborhood').mean().reset_index()\n",
    "toronto_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "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": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Tibetan Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Soccer Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Business reply mail Processing Centre</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bistro</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Park</td>\n",
       "      <td>Track</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Garden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood 1st Most Common Venue  \\\n",
       "0                                        Berczy Park           Coffee Shop   \n",
       "1       Brockton, Parkdale Village, Exhibition Place                  Café   \n",
       "2              Business reply mail Processing Centre                  Park   \n",
       "3  CN Tower, King and Spadina, Railway Lands, Har...                  Café   \n",
       "4                                 Central Bay Street           Coffee Shop   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Café                 Hotel   Japanese Restaurant   \n",
       "1           Coffee Shop            Restaurant                   Bar   \n",
       "2           Coffee Shop           Pizza Place               Brewery   \n",
       "3           Coffee Shop       Harbor / Marina          Dance Studio   \n",
       "4                  Café      Ramen Restaurant                  Park   \n",
       "\n",
       "  5th Most Common Venue   6th Most Common Venue 7th Most Common Venue  \\\n",
       "0            Restaurant                Beer Bar                  Park   \n",
       "1                Bakery  Furniture / Home Store             Gift Shop   \n",
       "2      Sushi Restaurant      Italian Restaurant                Bakery   \n",
       "3        Scenic Lookout                 Dog Run                  Park   \n",
       "4             Gastropub     Japanese Restaurant        Clothing Store   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0           Art Gallery          Liquor Store           Cocktail Bar  \n",
       "1    Tibetan Restaurant                  Park         Soccer Stadium  \n",
       "2  Fast Food Restaurant                Bistro                    Pub  \n",
       "3                 Track      Sushi Restaurant                 Garden  \n",
       "4        Cosmetics Shop    Italian Restaurant       Sushi Restaurant  "
      ]
     },
     "execution_count": 198,
     "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": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39, 11)"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "neighborhoods_venues_sorted.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## K-means clustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.cluster import KMeans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 1, 0, 0, 0, 1, 0, 1, 1], dtype=int32)"
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 3\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_[0:10] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "toronto_merged = Toronto_data\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
    {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>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>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pilates Studio</td>\n",
       "      <td>Gym Pool</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Dance Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Davisville North</td>\n",
       "      <td>43.712751</td>\n",
       "      <td>-79.390197</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5P</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>Forest Hill North &amp; West</td>\n",
       "      <td>43.696948</td>\n",
       "      <td>-79.411307</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>43.715383</td>\n",
       "      <td>-79.405678</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5R</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>43.672710</td>\n",
       "      <td>-79.405678</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Museum</td>\n",
       "      <td>Pizza Place</td>\n",
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       "  Postal Code          Borough                         Neighborhood  \\\n",
       "0         M5N  Central Toronto                             Roselawn   \n",
       "1         M4P  Central Toronto                     Davisville North   \n",
       "2         M5P  Central Toronto             Forest Hill North & West   \n",
       "3         M4R  Central Toronto                   North Toronto West   \n",
       "4         M5R  Central Toronto  The Annex, North Midtown, Yorkville   \n",
       "\n",
       "    Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "0  43.711695 -79.416936               0      Sushi Restaurant   \n",
       "1  43.712751 -79.390197               0           Coffee Shop   \n",
       "2  43.696948 -79.411307               0                  Park   \n",
       "3  43.715383 -79.405678               0           Coffee Shop   \n",
       "4  43.672710 -79.405678               0                  Café   \n",
       "\n",
       "           2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0             Italian Restaurant           Coffee Shop              Pharmacy   \n",
       "1             Italian Restaurant            Restaurant                  Café   \n",
       "2                    Coffee Shop                  Bank                  Café   \n",
       "3             Italian Restaurant                  Café          Skating Rink   \n",
       "4  Vegetarian / Vegan Restaurant           Coffee Shop    Italian Restaurant   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0                  Bank                  Café        Pilates Studio   \n",
       "1           Pizza Place      Sushi Restaurant                   Gym   \n",
       "2              Pharmacy   Japanese Restaurant          Skating Rink   \n",
       "3    Mexican Restaurant        Clothing Store                  Park   \n",
       "4                Bakery         Grocery Store                   Gym   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0              Gym Pool             Pet Store           Dance Studio  \n",
       "1          Dessert Shop              Pharmacy      Food & Drink Shop  \n",
       "2          Burger Joint                 Trail       Sushi Restaurant  \n",
       "3   Sporting Goods Shop                 Diner             Restaurant  \n",
       "4            Restaurant                Museum            Pizza Place  "
      ]
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     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 201,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 202,
   "metadata": {},
   "outputs": [
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            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_a5d31f09c59a4705ac1e9a10a9c46cf2 = L.popup({"maxWidth": "100%"});

        
            var html_f50384cb5791439ab6a9a8ed8512b283 = $(`<div id="html_f50384cb5791439ab6a9a8ed8512b283" style="width: 100.0%; height: 100.0%;">Lawrence Park Cluster 2</div>`)[0];
            popup_a5d31f09c59a4705ac1e9a10a9c46cf2.setContent(html_f50384cb5791439ab6a9a8ed8512b283);
        

        circle_marker_b5182ce26a2642609e14072e7fd5da2a.bindPopup(popup_a5d31f09c59a4705ac1e9a10a9c46cf2)
        ;

        
    
    
            var circle_marker_2ab596d5d8424664867db77446f4149d = L.circleMarker(
                [43.6532057, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_cbfbe838e062421694a03a93aa0786d7 = L.popup({"maxWidth": "100%"});

        
            var html_a2e7c79e0c8045b3881a24c2a695c153 = $(`<div id="html_a2e7c79e0c8045b3881a24c2a695c153" style="width: 100.0%; height: 100.0%;">Kensington Market, Chinatown, Grange Park Cluster 0</div>`)[0];
            popup_cbfbe838e062421694a03a93aa0786d7.setContent(html_a2e7c79e0c8045b3881a24c2a695c153);
        

        circle_marker_2ab596d5d8424664867db77446f4149d.bindPopup(popup_cbfbe838e062421694a03a93aa0786d7)
        ;

        
    
    
            var circle_marker_d6d465947b1449c4b8b6781b3fa260a2 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_6e8b2413c54c4edb98ce5ec1596839f7 = L.popup({"maxWidth": "100%"});

        
            var html_147f7459438a42bea7964755790f8315 = $(`<div id="html_147f7459438a42bea7964755790f8315" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 1</div>`)[0];
            popup_6e8b2413c54c4edb98ce5ec1596839f7.setContent(html_147f7459438a42bea7964755790f8315);
        

        circle_marker_d6d465947b1449c4b8b6781b3fa260a2.bindPopup(popup_6e8b2413c54c4edb98ce5ec1596839f7)
        ;

        
    
    
            var circle_marker_5e035486884f4adab8612828e246cb4d = L.circleMarker(
                [43.6626956, -79.4000493],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_3b120108585f4bababd0d646a58a547f = L.popup({"maxWidth": "100%"});

        
            var html_68fb2419a16e41bc8635970e43f25755 = $(`<div id="html_68fb2419a16e41bc8635970e43f25755" style="width: 100.0%; height: 100.0%;">University of Toronto, Harbord Cluster 0</div>`)[0];
            popup_3b120108585f4bababd0d646a58a547f.setContent(html_68fb2419a16e41bc8635970e43f25755);
        

        circle_marker_5e035486884f4adab8612828e246cb4d.bindPopup(popup_3b120108585f4bababd0d646a58a547f)
        ;

        
    
    
            var circle_marker_2dbc3751d1cf44fd982a430b5a620211 = L.circleMarker(
                [43.6289467, -79.3944199],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_d222ea8714d5443a836b31dbff619dd3 = L.popup({"maxWidth": "100%"});

        
            var html_ad796aa2650849e68f530af8fcc398af = $(`<div id="html_ad796aa2650849e68f530af8fcc398af" style="width: 100.0%; height: 100.0%;">CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport Cluster 0</div>`)[0];
            popup_d222ea8714d5443a836b31dbff619dd3.setContent(html_ad796aa2650849e68f530af8fcc398af);
        

        circle_marker_2dbc3751d1cf44fd982a430b5a620211.bindPopup(popup_d222ea8714d5443a836b31dbff619dd3)
        ;

        
    
    
            var circle_marker_856cec4910b1488c90621a35ff61c28f = L.circleMarker(
                [43.6795626, -79.37752940000001],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_784eb8dd76384831a7123a20e904ab93 = L.popup({"maxWidth": "100%"});

        
            var html_3b1cef408c794752a69d7a81f611d792 = $(`<div id="html_3b1cef408c794752a69d7a81f611d792" style="width: 100.0%; height: 100.0%;">Rosedale Cluster 1</div>`)[0];
            popup_784eb8dd76384831a7123a20e904ab93.setContent(html_3b1cef408c794752a69d7a81f611d792);
        

        circle_marker_856cec4910b1488c90621a35ff61c28f.bindPopup(popup_784eb8dd76384831a7123a20e904ab93)
        ;

        
    
    
            var circle_marker_8d59cc4cc3244b63a7287804f3b5bcb7 = L.circleMarker(
                [43.6464352, -79.37484599999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_34fcec869461441ca64c08f5412f551f = L.popup({"maxWidth": "100%"});

        
            var html_8b9f76819bae4482867c458c417f8955 = $(`<div id="html_8b9f76819bae4482867c458c417f8955" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes Cluster 0</div>`)[0];
            popup_34fcec869461441ca64c08f5412f551f.setContent(html_8b9f76819bae4482867c458c417f8955);
        

        circle_marker_8d59cc4cc3244b63a7287804f3b5bcb7.bindPopup(popup_34fcec869461441ca64c08f5412f551f)
        ;

        
    
    
            var circle_marker_b85eca9a402c44a7ad1d2bcb4935c5fd = L.circleMarker(
                [43.667967, -79.3676753],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_8538d8d0710442978da7b4fd2dc56ca6 = L.popup({"maxWidth": "100%"});

        
            var html_6cd08ae20ad941e7ade9fca9216595d1 = $(`<div id="html_6cd08ae20ad941e7ade9fca9216595d1" style="width: 100.0%; height: 100.0%;">St. James Town, Cabbagetown Cluster 0</div>`)[0];
            popup_8538d8d0710442978da7b4fd2dc56ca6.setContent(html_6cd08ae20ad941e7ade9fca9216595d1);
        

        circle_marker_b85eca9a402c44a7ad1d2bcb4935c5fd.bindPopup(popup_8538d8d0710442978da7b4fd2dc56ca6)
        ;

        
    
    
            var circle_marker_c6a510f5f4d7430993598e279d2dc6ab = L.circleMarker(
                [43.6484292, -79.3822802],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_282baed0cf8c469b8dd964ef0ba3ac6e = L.popup({"maxWidth": "100%"});

        
            var html_a98da8c67a3c463887f46b3c33f49785 = $(`<div id="html_a98da8c67a3c463887f46b3c33f49785" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city Cluster 0</div>`)[0];
            popup_282baed0cf8c469b8dd964ef0ba3ac6e.setContent(html_a98da8c67a3c463887f46b3c33f49785);
        

        circle_marker_c6a510f5f4d7430993598e279d2dc6ab.bindPopup(popup_282baed0cf8c469b8dd964ef0ba3ac6e)
        ;

        
    
    
            var circle_marker_be9b1a933deb481f90af8412d2bf96a5 = L.circleMarker(
                [43.6542599, -79.3606359],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_f06078bfabbf4eb480c99edaddd674bc = L.popup({"maxWidth": "100%"});

        
            var html_d0f86e38ba1b4590835dfa7c2bfcd2dd = $(`<div id="html_d0f86e38ba1b4590835dfa7c2bfcd2dd" style="width: 100.0%; height: 100.0%;">Regent Park, Harbourfront Cluster 1</div>`)[0];
            popup_f06078bfabbf4eb480c99edaddd674bc.setContent(html_d0f86e38ba1b4590835dfa7c2bfcd2dd);
        

        circle_marker_be9b1a933deb481f90af8412d2bf96a5.bindPopup(popup_f06078bfabbf4eb480c99edaddd674bc)
        ;

        
    
    
            var circle_marker_ca65ff227dcb4b6695a05d8b23b7a8db = L.circleMarker(
                [43.6481985, -79.37981690000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_e9bdf07fb8f74672a1d5f199effab9dd = L.popup({"maxWidth": "100%"});

        
            var html_dd42bd529cc74136a714d315b09d1d17 = $(`<div id="html_dd42bd529cc74136a714d315b09d1d17" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel Cluster 0</div>`)[0];
            popup_e9bdf07fb8f74672a1d5f199effab9dd.setContent(html_dd42bd529cc74136a714d315b09d1d17);
        

        circle_marker_ca65ff227dcb4b6695a05d8b23b7a8db.bindPopup(popup_e9bdf07fb8f74672a1d5f199effab9dd)
        ;

        
    
    
            var circle_marker_6ec0173256094a03acc7635481401f53 = L.circleMarker(
                [43.6623015, -79.3894938],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_93123d00b85e44aca23f966a49d67c9f = L.popup({"maxWidth": "100%"});

        
            var html_ceb506543c434bc0a6af992d75d00c3a = $(`<div id="html_ceb506543c434bc0a6af992d75d00c3a" style="width: 100.0%; height: 100.0%;">Queen&#39;s Park, Ontario Provincial Government Cluster 1</div>`)[0];
            popup_93123d00b85e44aca23f966a49d67c9f.setContent(html_ceb506543c434bc0a6af992d75d00c3a);
        

        circle_marker_6ec0173256094a03acc7635481401f53.bindPopup(popup_93123d00b85e44aca23f966a49d67c9f)
        ;

        
    
    
            var circle_marker_b8213c26feed49f49d7fee7770a1c84a = L.circleMarker(
                [43.6571618, -79.37893709999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_3e027abac12b46298fc3e418a8bb925b = L.popup({"maxWidth": "100%"});

        
            var html_c974f3ea9db8472a83f3dc39a5394b43 = $(`<div id="html_c974f3ea9db8472a83f3dc39a5394b43" style="width: 100.0%; height: 100.0%;">Garden District, Ryerson Cluster 0</div>`)[0];
            popup_3e027abac12b46298fc3e418a8bb925b.setContent(html_c974f3ea9db8472a83f3dc39a5394b43);
        

        circle_marker_b8213c26feed49f49d7fee7770a1c84a.bindPopup(popup_3e027abac12b46298fc3e418a8bb925b)
        ;

        
    
    
            var circle_marker_847daf0b9d8543faa2c60c9a588e66b0 = L.circleMarker(
                [43.6471768, -79.38157640000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_2f9fc6f5bf2f45d6889176fbafafa959 = L.popup({"maxWidth": "100%"});

        
            var html_d57db4490a904ab793f387db251a3a42 = $(`<div id="html_d57db4490a904ab793f387db251a3a42" style="width: 100.0%; height: 100.0%;">Toronto Dominion Centre, Design Exchange Cluster 0</div>`)[0];
            popup_2f9fc6f5bf2f45d6889176fbafafa959.setContent(html_d57db4490a904ab793f387db251a3a42);
        

        circle_marker_847daf0b9d8543faa2c60c9a588e66b0.bindPopup(popup_2f9fc6f5bf2f45d6889176fbafafa959)
        ;

        
    
    
            var circle_marker_1f3da93b2fd64dcbbe3cd28f98415298 = L.circleMarker(
                [43.6514939, -79.3754179],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_078d9671e18f406497099fed2b2b1b2b = L.popup({"maxWidth": "100%"});

        
            var html_218ac548d6d749ad94d3380b1023d627 = $(`<div id="html_218ac548d6d749ad94d3380b1023d627" style="width: 100.0%; height: 100.0%;">St. James Town Cluster 0</div>`)[0];
            popup_078d9671e18f406497099fed2b2b1b2b.setContent(html_218ac548d6d749ad94d3380b1023d627);
        

        circle_marker_1f3da93b2fd64dcbbe3cd28f98415298.bindPopup(popup_078d9671e18f406497099fed2b2b1b2b)
        ;

        
    
    
            var circle_marker_247ecb3bc0494613bc1dc82500e2edff = L.circleMarker(
                [43.644770799999996, -79.3733064],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_6f4c931a881741aa9a92abc908b9bc00 = L.popup({"maxWidth": "100%"});

        
            var html_c4fd17b742eb4219b95bda13fab6bbfd = $(`<div id="html_c4fd17b742eb4219b95bda13fab6bbfd" style="width: 100.0%; height: 100.0%;">Berczy Park Cluster 0</div>`)[0];
            popup_6f4c931a881741aa9a92abc908b9bc00.setContent(html_c4fd17b742eb4219b95bda13fab6bbfd);
        

        circle_marker_247ecb3bc0494613bc1dc82500e2edff.bindPopup(popup_6f4c931a881741aa9a92abc908b9bc00)
        ;

        
    
    
            var circle_marker_8b04e7b68e67454a8460ba7484ac3ab7 = L.circleMarker(
                [43.6579524, -79.3873826],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_27d90ef8d6df4286a7e5a7bbc0e40a42 = L.popup({"maxWidth": "100%"});

        
            var html_cf404196a19d4a128b49dca7ac2d658f = $(`<div id="html_cf404196a19d4a128b49dca7ac2d658f" style="width: 100.0%; height: 100.0%;">Central Bay Street Cluster 0</div>`)[0];
            popup_27d90ef8d6df4286a7e5a7bbc0e40a42.setContent(html_cf404196a19d4a128b49dca7ac2d658f);
        

        circle_marker_8b04e7b68e67454a8460ba7484ac3ab7.bindPopup(popup_27d90ef8d6df4286a7e5a7bbc0e40a42)
        ;

        
    
    
            var circle_marker_78039b86f4e447f699daa867d04373d7 = L.circleMarker(
                [43.6408157, -79.38175229999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_8109871f60fe406e93ff7da466340f8e = L.popup({"maxWidth": "100%"});

        
            var html_b11627d6a61e42ae8c6b50ba7e4417b0 = $(`<div id="html_b11627d6a61e42ae8c6b50ba7e4417b0" style="width: 100.0%; height: 100.0%;">Harbourfront East, Union Station, Toronto Islands Cluster 0</div>`)[0];
            popup_8109871f60fe406e93ff7da466340f8e.setContent(html_b11627d6a61e42ae8c6b50ba7e4417b0);
        

        circle_marker_78039b86f4e447f699daa867d04373d7.bindPopup(popup_8109871f60fe406e93ff7da466340f8e)
        ;

        
    
    
            var circle_marker_f415511907534554a4acd3efe8f07156 = L.circleMarker(
                [43.669542, -79.4225637],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_00e578e184514ab3a362099578cb8fcb = L.popup({"maxWidth": "100%"});

        
            var html_f2310e413aa74033b0033d54b7c23341 = $(`<div id="html_f2310e413aa74033b0033d54b7c23341" style="width: 100.0%; height: 100.0%;">Christie Cluster 0</div>`)[0];
            popup_00e578e184514ab3a362099578cb8fcb.setContent(html_f2310e413aa74033b0033d54b7c23341);
        

        circle_marker_f415511907534554a4acd3efe8f07156.bindPopup(popup_00e578e184514ab3a362099578cb8fcb)
        ;

        
    
    
            var circle_marker_55d44d3e2fa14e5aa689c954e8714444 = L.circleMarker(
                [43.65057120000001, -79.3845675],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_052d595ef7d14801bc34b763cdb7d212 = L.popup({"maxWidth": "100%"});

        
            var html_30fa03a5cda743749224d1bdeef58dee = $(`<div id="html_30fa03a5cda743749224d1bdeef58dee" style="width: 100.0%; height: 100.0%;">Richmond, Adelaide, King Cluster 0</div>`)[0];
            popup_052d595ef7d14801bc34b763cdb7d212.setContent(html_30fa03a5cda743749224d1bdeef58dee);
        

        circle_marker_55d44d3e2fa14e5aa689c954e8714444.bindPopup(popup_052d595ef7d14801bc34b763cdb7d212)
        ;

        
    
    
            var circle_marker_cb906d3dc7734fb4beee1e42b04204ef = L.circleMarker(
                [43.67635739999999, -79.2930312],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_e7779a9588194a528cf5316e1aeb0634 = L.popup({"maxWidth": "100%"});

        
            var html_62a62bc1b5ab48768a7277cd67313d0b = $(`<div id="html_62a62bc1b5ab48768a7277cd67313d0b" style="width: 100.0%; height: 100.0%;">The Beaches Cluster 1</div>`)[0];
            popup_e7779a9588194a528cf5316e1aeb0634.setContent(html_62a62bc1b5ab48768a7277cd67313d0b);
        

        circle_marker_cb906d3dc7734fb4beee1e42b04204ef.bindPopup(popup_e7779a9588194a528cf5316e1aeb0634)
        ;

        
    
    
            var circle_marker_2b0cf5e124314e5b9935157ab2edb61a = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_8a7d57bbb55c4b2090a078dc91b5cc0b = L.popup({"maxWidth": "100%"});

        
            var html_1808698868d54b21b2860983238714c6 = $(`<div id="html_1808698868d54b21b2860983238714c6" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre Cluster 1</div>`)[0];
            popup_8a7d57bbb55c4b2090a078dc91b5cc0b.setContent(html_1808698868d54b21b2860983238714c6);
        

        circle_marker_2b0cf5e124314e5b9935157ab2edb61a.bindPopup(popup_8a7d57bbb55c4b2090a078dc91b5cc0b)
        ;

        
    
    
            var circle_marker_ae0d17222ac24d3a92beec376350889f = L.circleMarker(
                [43.6795571, -79.352188],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_129d733f98124f5593566f54ef23c3bf = L.popup({"maxWidth": "100%"});

        
            var html_6968c8005e5349aabf0f39723c446aad = $(`<div id="html_6968c8005e5349aabf0f39723c446aad" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale Cluster 1</div>`)[0];
            popup_129d733f98124f5593566f54ef23c3bf.setContent(html_6968c8005e5349aabf0f39723c446aad);
        

        circle_marker_ae0d17222ac24d3a92beec376350889f.bindPopup(popup_129d733f98124f5593566f54ef23c3bf)
        ;

        
    
    
            var circle_marker_6ba1d53222534107adf5ae95a050c571 = L.circleMarker(
                [43.6689985, -79.31557159999998],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_08b853c4b1a3452385cf1ed144e52460 = L.popup({"maxWidth": "100%"});

        
            var html_5911289e8c7d430f8eebb416b99870e2 = $(`<div id="html_5911289e8c7d430f8eebb416b99870e2" style="width: 100.0%; height: 100.0%;">India Bazaar, The Beaches West Cluster 1</div>`)[0];
            popup_08b853c4b1a3452385cf1ed144e52460.setContent(html_5911289e8c7d430f8eebb416b99870e2);
        

        circle_marker_6ba1d53222534107adf5ae95a050c571.bindPopup(popup_08b853c4b1a3452385cf1ed144e52460)
        ;

        
    
    
            var circle_marker_b2e42caa2ee74b249d5579d454157b74 = L.circleMarker(
                [43.6595255, -79.340923],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_8e04b44c127d4408946ec23f2ab1054d = L.popup({"maxWidth": "100%"});

        
            var html_b836ac7cf6e44eb0bb055feaa0647ca8 = $(`<div id="html_b836ac7cf6e44eb0bb055feaa0647ca8" style="width: 100.0%; height: 100.0%;">Studio District Cluster 1</div>`)[0];
            popup_8e04b44c127d4408946ec23f2ab1054d.setContent(html_b836ac7cf6e44eb0bb055feaa0647ca8);
        

        circle_marker_b2e42caa2ee74b249d5579d454157b74.bindPopup(popup_8e04b44c127d4408946ec23f2ab1054d)
        ;

        
    
    
            var circle_marker_e7077297ddcf469f89e88931087dd4c6 = L.circleMarker(
                [43.66900510000001, -79.4422593],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_442cec9c965a4c57ad03db43fe947b55 = L.popup({"maxWidth": "100%"});

        
            var html_431e931f70ed45f195fb1fee346b29c6 = $(`<div id="html_431e931f70ed45f195fb1fee346b29c6" style="width: 100.0%; height: 100.0%;">Dufferin, Dovercourt Village Cluster 1</div>`)[0];
            popup_442cec9c965a4c57ad03db43fe947b55.setContent(html_431e931f70ed45f195fb1fee346b29c6);
        

        circle_marker_e7077297ddcf469f89e88931087dd4c6.bindPopup(popup_442cec9c965a4c57ad03db43fe947b55)
        ;

        
    
    
            var circle_marker_05d45aa0f4a54187854db42501e0121f = L.circleMarker(
                [43.6489597, -79.456325],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_195025958fdc4e91a16091973b2a3bc7 = L.popup({"maxWidth": "100%"});

        
            var html_19952ae1d8cb45ea9a059685b7b9192d = $(`<div id="html_19952ae1d8cb45ea9a059685b7b9192d" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles Cluster 1</div>`)[0];
            popup_195025958fdc4e91a16091973b2a3bc7.setContent(html_19952ae1d8cb45ea9a059685b7b9192d);
        

        circle_marker_05d45aa0f4a54187854db42501e0121f.bindPopup(popup_195025958fdc4e91a16091973b2a3bc7)
        ;

        
    
    
            var circle_marker_07f931a99e5549b78b7d050774a6321a = L.circleMarker(
                [43.647926700000006, -79.4197497],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_466b99fc271d4beb9d46a77db3bc1e01 = L.popup({"maxWidth": "100%"});

        
            var html_a5c64293a47549158cbd17e3e7e81bc9 = $(`<div id="html_a5c64293a47549158cbd17e3e7e81bc9" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity Cluster 0</div>`)[0];
            popup_466b99fc271d4beb9d46a77db3bc1e01.setContent(html_a5c64293a47549158cbd17e3e7e81bc9);
        

        circle_marker_07f931a99e5549b78b7d050774a6321a.bindPopup(popup_466b99fc271d4beb9d46a77db3bc1e01)
        ;

        
    
    
            var circle_marker_40a06d450d454028bd74b42986b4e393 = L.circleMarker(
                [43.6616083, -79.46476329999999],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_d75c1f2ae8384d2bafced198e111a014 = L.popup({"maxWidth": "100%"});

        
            var html_36d44814e7574b60b204bbd186dc749f = $(`<div id="html_36d44814e7574b60b204bbd186dc749f" style="width: 100.0%; height: 100.0%;">High Park, The Junction South Cluster 1</div>`)[0];
            popup_d75c1f2ae8384d2bafced198e111a014.setContent(html_36d44814e7574b60b204bbd186dc749f);
        

        circle_marker_40a06d450d454028bd74b42986b4e393.bindPopup(popup_d75c1f2ae8384d2bafced198e111a014)
        ;

        
    
    
            var circle_marker_e423f05ecff04e25861b753fe60f3b83 = L.circleMarker(
                [43.6368472, -79.42819140000002],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_e067d1ef530b4e1cbd0f5518709c9231 = L.popup({"maxWidth": "100%"});

        
            var html_93c829505a48476c87a4e03bb489d17f = $(`<div id="html_93c829505a48476c87a4e03bb489d17f" style="width: 100.0%; height: 100.0%;">Brockton, Parkdale Village, Exhibition Place Cluster 0</div>`)[0];
            popup_e067d1ef530b4e1cbd0f5518709c9231.setContent(html_93c829505a48476c87a4e03bb489d17f);
        

        circle_marker_e423f05ecff04e25861b753fe60f3b83.bindPopup(popup_e067d1ef530b4e1cbd0f5518709c9231)
        ;

        
    
    
            var circle_marker_00adeed20bbf4a7c9a46c656044c95e7 = L.circleMarker(
                [43.6515706, -79.4844499],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_3063273ff5054567bab8384440c9c303);
        
    
        var popup_9b57de15129c4364927fac360461fe5c = L.popup({"maxWidth": "100%"});

        
            var html_3df1654379a3457684e2480e474d5d72 = $(`<div id="html_3df1654379a3457684e2480e474d5d72" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea Cluster 1</div>`)[0];
            popup_9b57de15129c4364927fac360461fe5c.setContent(html_3df1654379a3457684e2480e474d5d72);
        

        circle_marker_00adeed20bbf4a7c9a46c656044c95e7.bindPopup(popup_9b57de15129c4364927fac360461fe5c)
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fca0d939f28>"
      ]
     },
     "execution_count": 202,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, 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": [
    "## Examine Clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 203,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Museum</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Record Shop</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Park</td>\n",
       "      <td>Track</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Garden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Taiwanese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Creperie</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Art Gallery</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Park</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Tibetan Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Soccer Stadium</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "4    Central Toronto               0                  Café   \n",
       "9   Downtown Toronto               0                  Café   \n",
       "11  Downtown Toronto               0                  Café   \n",
       "12  Downtown Toronto               0                  Café   \n",
       "14  Downtown Toronto               0           Coffee Shop   \n",
       "15  Downtown Toronto               0                  Park   \n",
       "16  Downtown Toronto               0           Coffee Shop   \n",
       "18  Downtown Toronto               0           Coffee Shop   \n",
       "20  Downtown Toronto               0           Coffee Shop   \n",
       "21  Downtown Toronto               0           Coffee Shop   \n",
       "22  Downtown Toronto               0           Coffee Shop   \n",
       "23  Downtown Toronto               0           Coffee Shop   \n",
       "24  Downtown Toronto               0           Coffee Shop   \n",
       "25  Downtown Toronto               0           Coffee Shop   \n",
       "26  Downtown Toronto               0     Korean Restaurant   \n",
       "27  Downtown Toronto               0           Coffee Shop   \n",
       "35      West Toronto               0                  Café   \n",
       "37      West Toronto               0                  Café   \n",
       "\n",
       "            2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "4   Vegetarian / Vegan Restaurant           Coffee Shop   \n",
       "9                             Bar           Coffee Shop   \n",
       "11                         Bakery           Coffee Shop   \n",
       "12                    Coffee Shop       Harbor / Marina   \n",
       "14                           Café            Restaurant   \n",
       "15                          Diner   Japanese Restaurant   \n",
       "16                           Café                 Hotel   \n",
       "18                           Café   Japanese Restaurant   \n",
       "20                      Gastropub   Japanese Restaurant   \n",
       "21                           Café                 Hotel   \n",
       "22                           Café            Restaurant   \n",
       "23                           Café                 Hotel   \n",
       "24                           Café      Ramen Restaurant   \n",
       "25                           Café                 Hotel   \n",
       "26                           Café           Coffee Shop   \n",
       "27                           Café                 Hotel   \n",
       "35                            Bar            Restaurant   \n",
       "37                    Coffee Shop            Restaurant   \n",
       "\n",
       "            4th Most Common Venue 5th Most Common Venue  \\\n",
       "4              Italian Restaurant                Bakery   \n",
       "9   Vegetarian / Vegan Restaurant           Art Gallery   \n",
       "11                            Bar            Restaurant   \n",
       "12                   Dance Studio        Scenic Lookout   \n",
       "14            Japanese Restaurant          Cocktail Bar   \n",
       "15                     Restaurant             Gastropub   \n",
       "16                        Theater   Japanese Restaurant   \n",
       "18                          Hotel            Restaurant   \n",
       "20                           Café                 Hotel   \n",
       "21            Japanese Restaurant               Theater   \n",
       "22                      Gastropub    Italian Restaurant   \n",
       "23            Japanese Restaurant            Restaurant   \n",
       "24                           Park             Gastropub   \n",
       "25                           Park   Japanese Restaurant   \n",
       "26                  Grocery Store          Cocktail Bar   \n",
       "27                        Theater   Japanese Restaurant   \n",
       "35  Vegetarian / Vegan Restaurant                Bakery   \n",
       "37                            Bar                Bakery   \n",
       "\n",
       "     6th Most Common Venue          7th Most Common Venue  \\\n",
       "4            Grocery Store                            Gym   \n",
       "9              Yoga Studio                         Bakery   \n",
       "11               Bookstore  Vegetarian / Vegan Restaurant   \n",
       "12                 Dog Run                           Park   \n",
       "14      Seafood Restaurant                          Hotel   \n",
       "15                    Café                     Steakhouse   \n",
       "16            Concert Hall                     Restaurant   \n",
       "18            Concert Hall                        Theater   \n",
       "20                 Theater             Italian Restaurant   \n",
       "21            Concert Hall                     Restaurant   \n",
       "22                 Theater                          Plaza   \n",
       "23                Beer Bar                           Park   \n",
       "24     Japanese Restaurant                 Clothing Store   \n",
       "25                     Gym                        Brewery   \n",
       "26          Ice Cream Shop             Mexican Restaurant   \n",
       "27                Tea Room                     Restaurant   \n",
       "35        Asian Restaurant             Italian Restaurant   \n",
       "37  Furniture / Home Store                      Gift Shop   \n",
       "\n",
       "            8th Most Common Venue   9th Most Common Venue  \\\n",
       "4                      Restaurant                  Museum   \n",
       "9              Mexican Restaurant             Record Shop   \n",
       "11             Mexican Restaurant     Japanese Restaurant   \n",
       "12                          Track        Sushi Restaurant   \n",
       "14                      Gastropub                Beer Bar   \n",
       "15           Caribbean Restaurant    Taiwanese Restaurant   \n",
       "16                           Park      Seafood Restaurant   \n",
       "18             Seafood Restaurant               Gastropub   \n",
       "20                     Restaurant                   Diner   \n",
       "21                           Park      Seafood Restaurant   \n",
       "22                       Creperie                Tea Room   \n",
       "23                    Art Gallery            Liquor Store   \n",
       "24                 Cosmetics Shop      Italian Restaurant   \n",
       "25                        Theater            Concert Hall   \n",
       "26  Vegetarian / Vegan Restaurant     Japanese Restaurant   \n",
       "27                   Concert Hall               Bookstore   \n",
       "35                    Pizza Place  Furniture / Home Store   \n",
       "37             Tibetan Restaurant                    Park   \n",
       "\n",
       "       10th Most Common Venue  \n",
       "4                 Pizza Place  \n",
       "9        Caribbean Restaurant  \n",
       "11              Burrito Place  \n",
       "12                     Garden  \n",
       "14                       Park  \n",
       "15                     Bakery  \n",
       "16            Thai Restaurant  \n",
       "18             Cosmetics Shop  \n",
       "20  Middle Eastern Restaurant  \n",
       "21            Thai Restaurant  \n",
       "22                  Bookstore  \n",
       "23               Cocktail Bar  \n",
       "24           Sushi Restaurant  \n",
       "25             Scenic Lookout  \n",
       "26                        Bar  \n",
       "27           Sushi Restaurant  \n",
       "35               Cocktail Bar  \n",
       "37             Soccer Stadium  "
      ]
     },
     "execution_count": 203,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 204,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pilates Studio</td>\n",
       "      <td>Gym Pool</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Dance Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bagel Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Liquor Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Filipino Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Bistro</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Candy Store</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bistro</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Beach</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Gourmet Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Food Truck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "0    Central Toronto               1      Sushi Restaurant   \n",
       "1    Central Toronto               1           Coffee Shop   \n",
       "2    Central Toronto               1                  Park   \n",
       "3    Central Toronto               1           Coffee Shop   \n",
       "5    Central Toronto               1    Italian Restaurant   \n",
       "6    Central Toronto               1           Coffee Shop   \n",
       "7    Central Toronto               1           Coffee Shop   \n",
       "10  Downtown Toronto               1           Coffee Shop   \n",
       "13  Downtown Toronto               1           Coffee Shop   \n",
       "17  Downtown Toronto               1           Coffee Shop   \n",
       "19  Downtown Toronto               1           Coffee Shop   \n",
       "28      East Toronto               1                   Pub   \n",
       "29      East Toronto               1                  Park   \n",
       "30      East Toronto               1      Greek Restaurant   \n",
       "31      East Toronto               1     Indian Restaurant   \n",
       "32      East Toronto               1           Coffee Shop   \n",
       "33      West Toronto               1                  Café   \n",
       "34      West Toronto               1                  Café   \n",
       "36      West Toronto               1           Coffee Shop   \n",
       "38      West Toronto               1           Coffee Shop   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0     Italian Restaurant           Coffee Shop              Pharmacy   \n",
       "1     Italian Restaurant            Restaurant                  Café   \n",
       "2            Coffee Shop                  Bank                  Café   \n",
       "3     Italian Restaurant                  Café          Skating Rink   \n",
       "5            Coffee Shop      Sushi Restaurant                  Café   \n",
       "6                   Park         Grocery Store    Italian Restaurant   \n",
       "7       Sushi Restaurant    Italian Restaurant                  Park   \n",
       "10   Japanese Restaurant      Sushi Restaurant                  Park   \n",
       "13                  Park         Grocery Store   Filipino Restaurant   \n",
       "17                 Diner                  Park                  Café   \n",
       "19      Sushi Restaurant                  Park   Japanese Restaurant   \n",
       "28           Coffee Shop           Pizza Place                Bakery   \n",
       "29           Coffee Shop           Pizza Place               Brewery   \n",
       "30                  Café           Coffee Shop                   Pub   \n",
       "31           Coffee Shop           Pizza Place  Fast Food Restaurant   \n",
       "32                   Bar                  Café               Brewery   \n",
       "33                  Park           Coffee Shop      Sushi Restaurant   \n",
       "34           Pizza Place      Sushi Restaurant           Coffee Shop   \n",
       "36                  Café                   Bar    Italian Restaurant   \n",
       "38                  Café           Pizza Place                Bakery   \n",
       "\n",
       "   5th Most Common Venue      6th Most Common Venue 7th Most Common Venue  \\\n",
       "0                   Bank                       Café        Pilates Studio   \n",
       "1            Pizza Place           Sushi Restaurant                   Gym   \n",
       "2               Pharmacy        Japanese Restaurant          Skating Rink   \n",
       "3     Mexican Restaurant             Clothing Store                  Park   \n",
       "5            Pizza Place  Middle Eastern Restaurant     Indian Restaurant   \n",
       "6        Thai Restaurant                 Restaurant                   Gym   \n",
       "7        Thai Restaurant       Gym / Fitness Center         Grocery Store   \n",
       "10                  Café         Italian Restaurant             Gastropub   \n",
       "13        Breakfast Spot                     Bistro                  Bank   \n",
       "17            Restaurant                    Theater                Bakery   \n",
       "19             Gastropub                       Café      Ramen Restaurant   \n",
       "28   Japanese Restaurant             Breakfast Spot                 Beach   \n",
       "29      Sushi Restaurant         Italian Restaurant                Bakery   \n",
       "30  Fast Food Restaurant                       Bank    Italian Restaurant   \n",
       "31                  Park                       Café                 Beach   \n",
       "32   American Restaurant                     Bakery                 Diner   \n",
       "33                   Bar                        Gym                Bakery   \n",
       "34        Breakfast Spot                        Bar       Thai Restaurant   \n",
       "36                  Park            Thai Restaurant     Convenience Store   \n",
       "38    Italian Restaurant                        Pub            Restaurant   \n",
       "\n",
       "    8th Most Common Venue 9th Most Common Venue  10th Most Common Venue  \n",
       "0                Gym Pool             Pet Store            Dance Studio  \n",
       "1            Dessert Shop              Pharmacy       Food & Drink Shop  \n",
       "2            Burger Joint                 Trail        Sushi Restaurant  \n",
       "3     Sporting Goods Shop                 Diner              Restaurant  \n",
       "5            Dessert Shop                   Gym              Restaurant  \n",
       "6        Sushi Restaurant                  Bank              Bagel Shop  \n",
       "7              Restaurant            Bagel Shop            Liquor Store  \n",
       "10              Bookstore       Thai Restaurant             Men's Store  \n",
       "13            Candy Store             BBQ Joint      Athletics & Sports  \n",
       "17                    Pub        Breakfast Spot      Italian Restaurant  \n",
       "19     Italian Restaurant       Thai Restaurant              Restaurant  \n",
       "28              Gastropub     Health Food Store                    Park  \n",
       "29   Fast Food Restaurant                Bistro                     Pub  \n",
       "30         Ice Cream Shop                Bakery  Furniture / Home Store  \n",
       "31                 Bakery                   Gym         Harbor / Marina  \n",
       "32  Vietnamese Restaurant    Italian Restaurant       French Restaurant  \n",
       "33  Portuguese Restaurant          Gourmet Shop                Pharmacy  \n",
       "34             Restaurant                   Pub          Sandwich Place  \n",
       "36       Sushi Restaurant        Breakfast Spot              Food Truck  \n",
       "38       Sushi Restaurant                   Bar                    Bank  "
      ]
     },
     "execution_count": 204,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 205,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>College Quad</td>\n",
       "      <td>College Gym</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Café</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "8  Central Toronto               2           Coffee Shop   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "8                 Trail              Bus Line                  Park   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "8             Bookstore          College Quad           College Gym   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "8  Gym / Fitness Center                  Café      Electronics Store  "
      ]
     },
     "execution_count": 205,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  }
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