toronto-3.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <h2>Import pandas library</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Get required table</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\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",
       "      <td>0</td>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park / Harbourfront</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code           Borough                Neighborhood\n",
       "0         M1A      Not assigned                         NaN\n",
       "1         M2A      Not assigned                         NaN\n",
       "2         M3A        North York                   Parkwoods\n",
       "3         M4A        North York            Victoria Village\n",
       "4         M5A  Downtown Toronto  Regent Park / Harbourfront"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = r'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\n",
    "tables = pd.read_html(url)\n",
    "table = tables[0]\n",
    "postalcodetable = pd.DataFrame(table)\n",
    "postalcodetable.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <h2>Ignore cells with a borough that is Not assigned</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "</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",
       "      <td>2</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park / Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor / Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park / Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code           Borough                                  Neighborhood\n",
       "2         M3A        North York                                     Parkwoods\n",
       "3         M4A        North York                              Victoria Village\n",
       "4         M5A  Downtown Toronto                    Regent Park / Harbourfront\n",
       "5         M6A        North York             Lawrence Manor / Lawrence Heights\n",
       "6         M7A  Downtown Toronto  Queen's Park / Ontario Provincial Government"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postalcodetable = postalcodetable[postalcodetable['Borough']!='Not assigned']\n",
    "postalcodetable.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <h2>Separate by comma</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
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       "        text-align: right;\n",
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       "</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",
       "      <td>2</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code           Borough                                 Neighborhood\n",
       "2         M3A        North York                                    Parkwoods\n",
       "3         M4A        North York                             Victoria Village\n",
       "4         M5A  Downtown Toronto                    Regent Park, Harbourfront\n",
       "5         M6A        North York             Lawrence Manor, Lawrence Heights\n",
       "6         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postalcodetable['Neighborhood'] = postalcodetable['Neighborhood'].str.replace(' /', ',')\n",
    "postalcodetable.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <h2>Check if listed twice</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in postalcodetable['Postal code'].value_counts()!=1:\n",
    "    if i == True:\n",
    "        print(\"Duplicate exists!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No duplicate."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <h2>Neighborhood to be the same as the borough if applied</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
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       "</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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Postal code, Borough, Neighborhood]\n",
       "Index: []"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postalcodetable[postalcodetable['Neighborhood']=='Not assigned']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No cell has a borough but a Not assigned neighborhood"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <h2>Print dataframe shape</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "postalcodetable.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <h2>Download csv file for geographical coordinates</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('geospatial_data.csv', <http.client.HTTPMessage at 0x1e5be43b3c8>)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import urllib.request\n",
    "urllib.request.urlretrieve('http://cocl.us/Geospatial_data', 'geospatial_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal Code   Latitude  Longitude\n",
       "0         M1B  43.806686 -79.194353\n",
       "1         M1C  43.784535 -79.160497\n",
       "2         M1E  43.763573 -79.188711\n",
       "3         M1G  43.770992 -79.216917\n",
       "4         M1H  43.773136 -79.239476"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geospatialtable = pd.read_csv('geospatial_data.csv')\n",
    "geospatialtable.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code   Latitude  Longitude\n",
       "0         M1B  43.806686 -79.194353\n",
       "1         M1C  43.784535 -79.160497\n",
       "2         M1E  43.763573 -79.188711\n",
       "3         M1G  43.770992 -79.216917\n",
       "4         M1H  43.773136 -79.239476"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geospatialtable.rename(columns = {'Postal Code':'Postal code'}, inplace=True)\n",
    "geospatialtable.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " <h2>Create new dataframe</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\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",
       "      <td>0</td>\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",
       "      <td>1</td>\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",
       "      <td>2</td>\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",
       "      <td>3</td>\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",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code           Borough                                 Neighborhood  \\\n",
       "0         M3A        North York                                    Parkwoods   \n",
       "1         M4A        North York                             Victoria Village   \n",
       "2         M5A  Downtown Toronto                    Regent Park, Harbourfront   \n",
       "3         M6A        North York             Lawrence Manor, Lawrence Heights   \n",
       "4         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.753259 -79.329656  \n",
       "1  43.725882 -79.315572  \n",
       "2  43.654260 -79.360636  \n",
       "3  43.718518 -79.464763  \n",
       "4  43.662301 -79.389494  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "combinedtable = pd.merge(postalcodetable, geospatialtable, on='Postal code', how='outer')\n",
    "combinedtable.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>Explore and cluster the neighborhoods in Toronto</h1>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np # library to handle data in a vectorized manner\n",
    "\n",
    "import pandas as pd # library for data analsysis\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "import json # library to handle JSON files\n",
    "\n",
    "#!conda install -c conda-forge geopy --yes # uncomment this line if you haven't completed the Foursquare API lab\n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "\n",
    "import requests # library to handle requests\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
    "\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "#!conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if you haven't completed the Foursquare API lab\n",
    "import folium # map rendering library\n",
    "\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The dataframe has 10 boroughs.\n"
     ]
    }
   ],
   "source": [
    "print('The dataframe has {} boroughs.'.format(len(combinedtable['Borough'].unique())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto City, ON'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"on_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": "markdown",
   "metadata": {},
   "source": [
    "<h2>Create a map of Toronto with neighborhoods superimposed on top</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
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                ).addTo(map_f91a08f1cb69471ea4294da598b675cc);
            
    
            var popup_632f3eb5ce514f12ac96a5561766bd62 = L.popup({maxWidth: '300'});

            
                var html_8b2fbf2219314bf79392cc66d9c8a36e = $('<div id="html_8b2fbf2219314bf79392cc66d9c8a36e" style="width: 100.0%; height: 100.0%;">Old Mill South, King&#39;s Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East, Etobicoke</div>')[0];
                popup_632f3eb5ce514f12ac96a5561766bd62.setContent(html_8b2fbf2219314bf79392cc66d9c8a36e);
            

            circle_marker_664859c2fbfb4ce3b6e9c78fb84489f3.bindPopup(popup_632f3eb5ce514f12ac96a5561766bd62);

            
        
    
            var circle_marker_922d6ff83a5e4d5db36f0e36e86ccdd2 = 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_f91a08f1cb69471ea4294da598b675cc);
            
    
            var popup_4fba56a9cb784a15b70f20e595e8d1e3 = L.popup({maxWidth: '300'});

            
                var html_5bf2dd83f8e64f8fb2700ddcc005bcf1 = $('<div id="html_5bf2dd83f8e64f8fb2700ddcc005bcf1" style="width: 100.0%; height: 100.0%;">Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West, Etobicoke</div>')[0];
                popup_4fba56a9cb784a15b70f20e595e8d1e3.setContent(html_5bf2dd83f8e64f8fb2700ddcc005bcf1);
            

            circle_marker_922d6ff83a5e4d5db36f0e36e86ccdd2.bindPopup(popup_4fba56a9cb784a15b70f20e595e8d1e3);

            
        
</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 0x1e5c1c29dc8>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Toronto using latitude and longitude values\n",
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(combinedtable['Latitude'], combinedtable['Longitude'], combinedtable['Borough'], combinedtable['Neighborhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Parkwoods are 43.7532586, -79.3296565.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = combinedtable.loc[0, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = combinedtable.loc[0, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = combinedtable.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": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "LIMIT = 100\n",
    "radius = 500\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "    CLIENT_ID, \n",
    "    CLIENT_SECRET, \n",
    "    VERSION, \n",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "results = requests.get(url).json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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": "code",
   "execution_count": 41,
   "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",
       "      <td>0</td>\n",
       "      <td>Brookbanks Park</td>\n",
       "      <td>Park</td>\n",
       "      <td>43.751976</td>\n",
       "      <td>-79.332140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Variety Store</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>43.751974</td>\n",
       "      <td>-79.333114</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              name         categories        lat        lng\n",
       "0  Brookbanks Park               Park  43.751976 -79.332140\n",
       "1    Variety Store  Food & Drink Shop  43.751974 -79.333114"
      ]
     },
     "execution_count": 41,
     "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()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Parkwoods\n",
      "Victoria Village\n",
      "Regent Park, Harbourfront\n",
      "Lawrence Manor, Lawrence Heights\n",
      "Queen's Park, Ontario Provincial Government\n",
      "Islington Avenue\n",
      "Malvern, Rouge\n",
      "Don Mills\n",
      "Parkview Hill, Woodbine Gardens\n",
      "Garden District, Ryerson\n",
      "Glencairn\n",
      "West Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale\n",
      "Rouge Hill, Port Union, Highland Creek\n",
      "Don Mills\n",
      "Woodbine Heights\n",
      "St. James Town\n",
      "Humewood-Cedarvale\n",
      "Eringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood\n",
      "Guildwood, Morningside, West Hill\n",
      "The Beaches\n",
      "Berczy Park\n",
      "Caledonia-Fairbanks\n",
      "Woburn\n",
      "Leaside\n",
      "Central Bay Street\n",
      "Christie\n",
      "Cedarbrae\n",
      "Hillcrest Village\n",
      "Bathurst Manor, Wilson Heights, Downsview North\n",
      "Thorncliffe Park\n",
      "Richmond, Adelaide, King\n",
      "Dufferin, Dovercourt Village\n",
      "Scarborough Village\n",
      "Fairview, Henry Farm, Oriole\n",
      "Northwood Park, York University\n",
      "East Toronto\n",
      "Harbourfront East, Union Station, Toronto Islands\n",
      "Little Portugal, Trinity\n",
      "Kennedy Park, Ionview, East Birchmount Park\n",
      "Bayview Village\n",
      "Downsview\n",
      "The Danforth West, Riverdale\n",
      "Toronto Dominion Centre, Design Exchange\n",
      "Brockton, Parkdale Village, Exhibition Place\n",
      "Golden Mile, Clairlea, Oakridge\n",
      "York Mills, Silver Hills\n",
      "Downsview\n",
      "India Bazaar, The Beaches West\n",
      "Commerce Court, Victoria Hotel\n",
      "North Park, Maple Leaf Park, Upwood Park\n",
      "Humber Summit\n",
      "Cliffside, Cliffcrest, Scarborough Village West\n",
      "Willowdale, Newtonbrook\n",
      "Downsview\n",
      "Studio District\n",
      "Bedford Park, Lawrence Manor East\n",
      "Del Ray, Mount Dennis, Keelsdale and Silverthorn\n",
      "Humberlea, Emery\n",
      "Birch Cliff, Cliffside West\n",
      "Willowdale\n",
      "Downsview\n",
      "Lawrence Park\n",
      "Roselawn\n",
      "Runnymede, The Junction North\n",
      "Weston\n",
      "Dorset Park, Wexford Heights, Scarborough Town Centre\n",
      "York Mills West\n",
      "Davisville North\n",
      "Forest Hill North & West\n",
      "High Park, The Junction South\n",
      "Westmount\n",
      "Wexford, Maryvale\n",
      "Willowdale\n",
      "North Toronto West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Parkdale, Roncesvalles\n",
      "Canada Post Gateway Processing Centre\n",
      "Kingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens\n",
      "Agincourt\n",
      "Davisville\n",
      "University of Toronto, Harbord\n",
      "Runnymede, Swansea\n",
      "Clarks Corners, Tam O'Shanter, Sullivan\n",
      "Moore Park, Summerhill East\n",
      "Kensington Market, Chinatown, Grange Park\n",
      "Milliken, Agincourt North, Steeles East, L'Amoreaux East\n",
      "Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\n",
      "CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\n",
      "New Toronto, Mimico South, Humber Bay Shores\n",
      "South Steeles, Silverstone, Humbergate, Jamestown, Mount Olive, Beaumond Heights, Thistletown, Albion Gardens\n",
      "Steeles West, L'Amoreaux West\n",
      "Rosedale\n",
      "Stn A PO Boxes\n",
      "Alderwood, Long Branch\n",
      "Northwest\n",
      "Upper Rouge\n",
      "St. James Town, Cabbagetown\n",
      "First Canadian Place, Underground city\n",
      "The Kingsway, Montgomery Road, Old Mill North\n",
      "Church and Wellesley\n",
      "Business reply mail Processing CentrE\n",
      "Old Mill South, King's Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East\n",
      "Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West\n"
     ]
    }
   ],
   "source": [
    "toronto_venues = getNearbyVenues(names=combinedtable['Neighborhood'],\n",
    "                                   latitudes=combinedtable['Latitude'],\n",
    "                                   longitudes=combinedtable['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2151, 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",
       "      <td>0</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "      <td>Brookbanks Park</td>\n",
       "      <td>43.751976</td>\n",
       "      <td>-79.332140</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "      <td>Variety Store</td>\n",
       "      <td>43.751974</td>\n",
       "      <td>-79.333114</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "      <td>Victoria Village Arena</td>\n",
       "      <td>43.723481</td>\n",
       "      <td>-79.315635</td>\n",
       "      <td>Hockey Arena</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "      <td>Tim Hortons</td>\n",
       "      <td>43.725517</td>\n",
       "      <td>-79.313103</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "      <td>Portugril</td>\n",
       "      <td>43.725819</td>\n",
       "      <td>-79.312785</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0         Parkwoods              43.753259              -79.329656   \n",
       "1         Parkwoods              43.753259              -79.329656   \n",
       "2  Victoria Village              43.725882              -79.315572   \n",
       "3  Victoria Village              43.725882              -79.315572   \n",
       "4  Victoria Village              43.725882              -79.315572   \n",
       "\n",
       "                    Venue  Venue Latitude  Venue Longitude  \\\n",
       "0         Brookbanks Park       43.751976       -79.332140   \n",
       "1           Variety Store       43.751974       -79.333114   \n",
       "2  Victoria Village Arena       43.723481       -79.315635   \n",
       "3             Tim Hortons       43.725517       -79.313103   \n",
       "4               Portugril       43.725819       -79.312785   \n",
       "\n",
       "          Venue Category  \n",
       "0                   Park  \n",
       "1      Food & Drink Shop  \n",
       "2           Hockey Arena  \n",
       "3            Coffee Shop  \n",
       "4  Portuguese Restaurant  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(toronto_venues.shape)\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "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",
       "      <td>Agincourt</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                 Neighborhood Latitude  \\\n",
       "Neighborhood                                                             \n",
       "Agincourt                                                            5   \n",
       "Alderwood, Long Branch                                              10   \n",
       "Bathurst Manor, Wilson Heights, Downsview North                     19   \n",
       "Bayview Village                                                      4   \n",
       "Bedford Park, Lawrence Manor East                                   24   \n",
       "\n",
       "                                                 Neighborhood Longitude  \\\n",
       "Neighborhood                                                              \n",
       "Agincourt                                                             5   \n",
       "Alderwood, Long Branch                                               10   \n",
       "Bathurst Manor, Wilson Heights, Downsview North                      19   \n",
       "Bayview Village                                                       4   \n",
       "Bedford Park, Lawrence Manor East                                    24   \n",
       "\n",
       "                                                 Venue  Venue Latitude  \\\n",
       "Neighborhood                                                             \n",
       "Agincourt                                            5               5   \n",
       "Alderwood, Long Branch                              10              10   \n",
       "Bathurst Manor, Wilson Heights, Downsview North     19              19   \n",
       "Bayview Village                                      4               4   \n",
       "Bedford Park, Lawrence Manor East                   24              24   \n",
       "\n",
       "                                                 Venue Longitude  \\\n",
       "Neighborhood                                                       \n",
       "Agincourt                                                      5   \n",
       "Alderwood, Long Branch                                        10   \n",
       "Bathurst Manor, Wilson Heights, Downsview North               19   \n",
       "Bayview Village                                                4   \n",
       "Bedford Park, Lawrence Manor East                             24   \n",
       "\n",
       "                                                 Venue Category  \n",
       "Neighborhood                                                     \n",
       "Agincourt                                                     5  \n",
       "Alderwood, Long Branch                                       10  \n",
       "Bathurst Manor, Wilson Heights, Downsview North              19  \n",
       "Bayview Village                                               4  \n",
       "Bedford Park, Lawrence Manor East                            24  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues.groupby('Neighborhood').count().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 267 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2151, 267)"
      ]
     },
     "execution_count": 55,
     "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.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(93, 267)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "toronto_grouped.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "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": 191,
   "metadata": {},
   "outputs": [],
   "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 = neighborhoods_venues_sorted.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 192,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1])"
      ]
     },
     "execution_count": 192,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {},
   "outputs": [
    {
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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",
       "      <td>0</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\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",
       "      <td>1.0</td>\n",
       "      <td>Hockey Arena</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Café</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\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",
       "      <td>1.0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Arts &amp; Crafts Store</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal code           Borough                                 Neighborhood  \\\n",
       "0         M3A        North York                                    Parkwoods   \n",
       "1         M4A        North York                             Victoria Village   \n",
       "2         M5A  Downtown Toronto                    Regent Park, Harbourfront   \n",
       "3         M6A        North York             Lawrence Manor, Lawrence Heights   \n",
       "4         M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government   \n",
       "\n",
       "    Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "0  43.753259 -79.329656             3.0     Food & Drink Shop   \n",
       "1  43.725882 -79.315572             1.0          Hockey Arena   \n",
       "2  43.654260 -79.360636             1.0           Coffee Shop   \n",
       "3  43.718518 -79.464763             1.0        Clothing Store   \n",
       "4  43.662301 -79.389494             1.0           Coffee Shop   \n",
       "\n",
       "    2nd Most Common Venue 3rd Most Common Venue  4th Most Common Venue  \\\n",
       "0                    Park         Women's Store     Dim Sum Restaurant   \n",
       "1             Coffee Shop          Intersection  Portuguese Restaurant   \n",
       "2                    Park                Bakery                    Pub   \n",
       "3  Furniture / Home Store           Coffee Shop               Boutique   \n",
       "4        Sushi Restaurant                 Diner            Yoga Studio   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
       "0                 Diner        Discount Store          Distribution Center   \n",
       "1     French Restaurant           Pizza Place  Eastern European Restaurant   \n",
       "2               Theater        Breakfast Spot                         Café   \n",
       "3            Shoe Store   Sporting Goods Shop           Miscellaneous Shop   \n",
       "4          Burger Joint                  Bank                          Bar   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0               Dog Run      Doner Restaurant             Donut Shop  \n",
       "1     Electronics Store             Drugstore             Donut Shop  \n",
       "2            Shoe Store            Restaurant         Chocolate Shop  \n",
       "3   Arts & Crafts Store         Women's Store  Vietnamese Restaurant  \n",
       "4              Beer Bar    Italian Restaurant    Japanese Restaurant  "
      ]
     },
     "execution_count": 193,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(1, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "toronto_merged = combinedtable.reset_index(drop=True)\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",
    "toronto_merged.head() # check the last columns!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [
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            circle_marker_9ad94559215e4fd99c9d624ff9281f5c.bindPopup(popup_dc09652eef1340a8adcd917c87b9c5d5);

            
        
    
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            var popup_3696c332b7f94c69a76465ad67982d8e = L.popup({maxWidth: '300'});

            
                var html_c43af05ddd3f40ed837d99f017699a17 = $('<div id="html_c43af05ddd3f40ed837d99f017699a17" style="width: 100.0%; height: 100.0%;">St. James Town, Cabbagetown Cluster 1</div>')[0];
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            circle_marker_f0151ffbc4954ee980a7d1d53e701742.bindPopup(popup_3696c332b7f94c69a76465ad67982d8e);

            
        
    
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                var html_101cd89a99a6433c87dc0999aa72ebaf = $('<div id="html_101cd89a99a6433c87dc0999aa72ebaf" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city Cluster 1</div>')[0];
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            circle_marker_d8b25375997641ea95b5aa2b6a249741.bindPopup(popup_bc196127ad8a46ddaf9ac3f61ededb47);

            
        
    
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            var popup_33ae250979ed43868ad5e32eb2236d19 = L.popup({maxWidth: '300'});

            
                var html_873bcd391a344bb5806264ec654e4278 = $('<div id="html_873bcd391a344bb5806264ec654e4278" style="width: 100.0%; height: 100.0%;">The Kingsway, Montgomery Road, Old Mill North Cluster 1</div>')[0];
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            circle_marker_e8cbf5f894e841878ae50bcab9015cce.bindPopup(popup_33ae250979ed43868ad5e32eb2236d19);

            
        
    
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                [43.6658599,-79.38315990000001],
                {
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                ).addTo(map_7d50c56990fb4188a99018e8126dfd7d);
            
    
            var popup_244128b2eb484a02956d63812b7ff3ed = L.popup({maxWidth: '300'});

            
                var html_1fe4b282b7d24c44a35c49bc08969222 = $('<div id="html_1fe4b282b7d24c44a35c49bc08969222" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 1</div>')[0];
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            circle_marker_81f0b1c0c1334420a9f19085450bd6f2.bindPopup(popup_244128b2eb484a02956d63812b7ff3ed);

            
        
    
            var circle_marker_0e238416662c4f99811a50fc0280f4a9 = L.circleMarker(
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                {
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            var popup_9b75ad544871465d945315e2d4ca9d9b = L.popup({maxWidth: '300'});

            
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                [43.6362579,-79.49850909999999],
                {
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  "fill": true,
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                ).addTo(map_7d50c56990fb4188a99018e8126dfd7d);
            
    
            var popup_eff47c0877fd4c8f82f3e06541505fe2 = L.popup({maxWidth: '300'});

            
                var html_689f1a86a3db477db6031be01c407bb5 = $('<div id="html_689f1a86a3db477db6031be01c407bb5" 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 Cluster 4</div>')[0];
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                [43.6288408,-79.52099940000001],
                {
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            var popup_1eca76277c384c959e39faea1db8991e = L.popup({maxWidth: '300'});

            
                var html_43144718226f446ea726dbeb17002a0f = $('<div id="html_43144718226f446ea726dbeb17002a0f" style="width: 100.0%; height: 100.0%;">Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West Cluster 1</div>')[0];
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            circle_marker_215ca06b32c440aa877747baf636eaa7.bindPopup(popup_1eca76277c384c959e39faea1db8991e);

            
        
</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 0x1e5c399d5c8>"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.dropna(axis=0, how='any', inplace=True)\n",
    "toronto_merged['Cluster Labels'] = toronto_merged['Cluster Labels'].astype(int)\n",
    "\n",
    "# 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": "code",
   "execution_count": 196,
   "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",
       "      <td>51</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>0</td>\n",
       "      <td>Motel</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "51  Scarborough               0                 Motel   American Restaurant   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "51    Dim Sum Restaurant                 Diner        Discount Store   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "51   Distribution Center               Dog Run      Doner Restaurant   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "51            Donut Shop       Department Store  "
      ]
     },
     "execution_count": 196,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 197,
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "      <td>1</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Hockey Arena</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Café</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Chocolate Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Arts &amp; Crafts Store</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Print Shop</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>East York</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Metro Station</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Concert Hall</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>East York</td>\n",
       "      <td>1</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Video Store</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Curling Ice</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>York</td>\n",
       "      <td>1</td>\n",
       "      <td>Field</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Hockey Arena</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Shopping Plaza</td>\n",
       "      <td>Café</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Creperie</td>\n",
       "      <td>Museum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>East York</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Sports Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Candy Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Bridal Shop</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>East York</td>\n",
       "      <td>1</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Gas Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Food Court</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Park</td>\n",
       "      <td>Boutique</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Train Station</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hobby Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Business Service</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Frozen Yogurt Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Soccer Field</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Park</td>\n",
       "      <td>Metro Station</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Creperie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Business Service</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>48</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>49</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Basketball Court</td>\n",
       "      <td>Park</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>53</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Business Service</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>54</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Cheese Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>55</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>56</td>\n",
       "      <td>York</td>\n",
       "      <td>1</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>58</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Café</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>59</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Home Service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>60</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Business Service</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>61</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>62</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>63</td>\n",
       "      <td>York</td>\n",
       "      <td>1</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>65</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Thrift / Vintage Store</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>67</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>68</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>69</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Cajun / Creole Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>70</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>71</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Auto Garage</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>72</td>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Home Service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>73</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>74</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>76</td>\n",
       "      <td>Mississauga</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>77</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>78</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>79</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>80</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>81</td>\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>Sushi Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>82</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Intersection</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>84</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Gaming Cafe</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Jazz Club</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>86</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>87</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Airport Gate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>88</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>89</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>90</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Thrift / Vintage Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>92</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Creperie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>93</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Concert Hall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>94</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>96</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>97</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>98</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pool</td>\n",
       "      <td>River</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>99</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Men's Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>100</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Skate Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>102</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Tanning Salon</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Supplement Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Hardware Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Borough  Cluster Labels       1st Most Common Venue  \\\n",
       "1          North York               1                Hockey Arena   \n",
       "2    Downtown Toronto               1                 Coffee Shop   \n",
       "3          North York               1              Clothing Store   \n",
       "4    Downtown Toronto               1                 Coffee Shop   \n",
       "6         Scarborough               1        Fast Food Restaurant   \n",
       "7          North York               1                         Gym   \n",
       "8           East York               1                 Pizza Place   \n",
       "9    Downtown Toronto               1              Clothing Store   \n",
       "10         North York               1                        Park   \n",
       "12        Scarborough               1  Construction & Landscaping   \n",
       "13         North York               1                         Gym   \n",
       "14          East York               1                    Pharmacy   \n",
       "15   Downtown Toronto               1                 Coffee Shop   \n",
       "16               York               1                       Field   \n",
       "17          Etobicoke               1                Liquor Store   \n",
       "18        Scarborough               1         Rental Car Location   \n",
       "19       East Toronto               1                       Trail   \n",
       "20   Downtown Toronto               1                 Coffee Shop   \n",
       "22        Scarborough               1                 Coffee Shop   \n",
       "23          East York               1                 Coffee Shop   \n",
       "24   Downtown Toronto               1                 Coffee Shop   \n",
       "25   Downtown Toronto               1               Grocery Store   \n",
       "26        Scarborough               1            Hakka Restaurant   \n",
       "27         North York               1          Athletics & Sports   \n",
       "28         North York               1                 Coffee Shop   \n",
       "29          East York               1           Indian Restaurant   \n",
       "30   Downtown Toronto               1                 Coffee Shop   \n",
       "31       West Toronto               1                    Pharmacy   \n",
       "33         North York               1              Clothing Store   \n",
       "34         North York               1              Massage Studio   \n",
       "36   Downtown Toronto               1                 Coffee Shop   \n",
       "37       West Toronto               1                         Bar   \n",
       "38        Scarborough               1              Discount Store   \n",
       "39         North York               1                        Café   \n",
       "40         North York               1                        Park   \n",
       "41       East Toronto               1            Greek Restaurant   \n",
       "42   Downtown Toronto               1                 Coffee Shop   \n",
       "43       West Toronto               1                        Café   \n",
       "44        Scarborough               1                    Bus Line   \n",
       "46         North York               1                        Park   \n",
       "47       East Toronto               1              Sandwich Place   \n",
       "48   Downtown Toronto               1                 Coffee Shop   \n",
       "49         North York               1            Basketball Court   \n",
       "50         North York               1                 Pizza Place   \n",
       "53         North York               1                        Park   \n",
       "54       East Toronto               1                        Café   \n",
       "55         North York               1                 Coffee Shop   \n",
       "56               York               1        Fast Food Restaurant   \n",
       "58        Scarborough               1             College Stadium   \n",
       "59         North York               1            Ramen Restaurant   \n",
       "60         North York               1                        Park   \n",
       "61    Central Toronto               1                        Park   \n",
       "62    Central Toronto               1                      Garden   \n",
       "63               York               1        Caribbean Restaurant   \n",
       "65        Scarborough               1           Indian Restaurant   \n",
       "67    Central Toronto               1                         Gym   \n",
       "68    Central Toronto               1                        Park   \n",
       "69       West Toronto               1                        Café   \n",
       "70          Etobicoke               1                 Pizza Place   \n",
       "71        Scarborough               1                  Smoke Shop   \n",
       "72         North York               1            Ramen Restaurant   \n",
       "73    Central Toronto               1                 Coffee Shop   \n",
       "74    Central Toronto               1              Sandwich Place   \n",
       "75       West Toronto               1                   Gift Shop   \n",
       "76        Mississauga               1                 Coffee Shop   \n",
       "77          Etobicoke               1                 Pizza Place   \n",
       "78        Scarborough               1                      Lounge   \n",
       "79    Central Toronto               1              Sandwich Place   \n",
       "80   Downtown Toronto               1                        Café   \n",
       "81       West Toronto               1                 Coffee Shop   \n",
       "82        Scarborough               1                    Pharmacy   \n",
       "84   Downtown Toronto               1                        Café   \n",
       "86    Central Toronto               1                 Coffee Shop   \n",
       "87   Downtown Toronto               1             Airport Service   \n",
       "88          Etobicoke               1                   Pet Store   \n",
       "89          Etobicoke               1               Grocery Store   \n",
       "90        Scarborough               1        Fast Food Restaurant   \n",
       "92   Downtown Toronto               1                 Coffee Shop   \n",
       "93          Etobicoke               1                 Pizza Place   \n",
       "94          Etobicoke               1         Rental Car Location   \n",
       "96   Downtown Toronto               1                 Coffee Shop   \n",
       "97   Downtown Toronto               1                 Coffee Shop   \n",
       "98          Etobicoke               1                        Park   \n",
       "99   Downtown Toronto               1                 Coffee Shop   \n",
       "100      East Toronto               1                 Yoga Studio   \n",
       "102         Etobicoke               1                         Gym   \n",
       "\n",
       "         2nd Most Common Venue       3rd Most Common Venue  \\\n",
       "1                  Coffee Shop                Intersection   \n",
       "2                         Park                      Bakery   \n",
       "3       Furniture / Home Store                 Coffee Shop   \n",
       "4             Sushi Restaurant                       Diner   \n",
       "6                   Print Shop                     Dog Run   \n",
       "7                   Restaurant                  Beer Store   \n",
       "8                     Pharmacy          Athletics & Sports   \n",
       "9                  Coffee Shop                        Café   \n",
       "10         Japanese Restaurant                         Pub   \n",
       "12              History Museum                         Bar   \n",
       "13                  Restaurant                  Beer Store   \n",
       "14                 Video Store                Skating Rink   \n",
       "15                        Café         American Restaurant   \n",
       "16                       Trail                     Dog Run   \n",
       "17              Shopping Plaza                        Café   \n",
       "18          Mexican Restaurant           Electronics Store   \n",
       "19           Health Food Store                         Pub   \n",
       "20                Cocktail Bar          Seafood Restaurant   \n",
       "22           Korean Restaurant           Convenience Store   \n",
       "23         Sporting Goods Shop                        Bank   \n",
       "24          Italian Restaurant                        Café   \n",
       "25                        Café                        Park   \n",
       "26                 Gas Station                      Bakery   \n",
       "27                 Golf Course    Mediterranean Restaurant   \n",
       "28                        Bank               Shopping Mall   \n",
       "29                 Yoga Studio                 Gas Station   \n",
       "30                        Café                  Restaurant   \n",
       "31                      Bakery                Liquor Store   \n",
       "33                 Coffee Shop        Fast Food Restaurant   \n",
       "34        Caribbean Restaurant                 Coffee Shop   \n",
       "36                    Aquarium                        Café   \n",
       "37                  Restaurant       Vietnamese Restaurant   \n",
       "38               Train Station                 Coffee Shop   \n",
       "39                        Bank          Chinese Restaurant   \n",
       "40               Grocery Store                       Hotel   \n",
       "41                 Coffee Shop          Italian Restaurant   \n",
       "42                       Hotel                        Café   \n",
       "43                 Coffee Shop              Breakfast Spot   \n",
       "44                      Bakery                Soccer Field   \n",
       "46               Grocery Store                       Hotel   \n",
       "47        Fast Food Restaurant           Food & Drink Shop   \n",
       "48                        Café                  Restaurant   \n",
       "49                        Park  Construction & Landscaping   \n",
       "50            Department Store          Falafel Restaurant   \n",
       "53               Grocery Store                       Hotel   \n",
       "54                 Coffee Shop                      Bakery   \n",
       "55                  Restaurant              Sandwich Place   \n",
       "56                 Coffee Shop              Sandwich Place   \n",
       "58       General Entertainment                        Café   \n",
       "59                 Pizza Place                 Coffee Shop   \n",
       "60               Grocery Store                       Hotel   \n",
       "61                 Swim School                    Bus Line   \n",
       "62            Department Store          Falafel Restaurant   \n",
       "63                    Bus Line                     Brewery   \n",
       "65      Thrift / Vintage Store                   Pet Store   \n",
       "67              Breakfast Spot                       Hotel   \n",
       "68                       Trail            Sushi Restaurant   \n",
       "69          Mexican Restaurant             Thai Restaurant   \n",
       "70                Intersection                 Coffee Shop   \n",
       "71              Breakfast Spot                 Auto Garage   \n",
       "72                 Pizza Place                 Coffee Shop   \n",
       "73              Clothing Store                 Yoga Studio   \n",
       "74                        Café                 Coffee Shop   \n",
       "75                Dessert Shop            Cuban Restaurant   \n",
       "76                       Hotel                         Gym   \n",
       "77                    Bus Line           Mobile Phone Shop   \n",
       "78   Latin American Restaurant              Clothing Store   \n",
       "79                 Pizza Place                Dessert Shop   \n",
       "80                         Bar          Italian Restaurant   \n",
       "81                        Café                 Pizza Place   \n",
       "82                 Pizza Place               Shopping Mall   \n",
       "84                 Coffee Shop          Mexican Restaurant   \n",
       "86                         Pub                 Pizza Place   \n",
       "87            Airport Terminal              Airport Lounge   \n",
       "88                      Bakery         Fried Chicken Joint   \n",
       "89                  Beer Store         Fried Chicken Joint   \n",
       "90          Chinese Restaurant           Electronics Store   \n",
       "92                        Café         Japanese Restaurant   \n",
       "93                         Gym                         Pub   \n",
       "94                   Drugstore                         Bar   \n",
       "96                         Pub                 Pizza Place   \n",
       "97                        Café                       Hotel   \n",
       "98                        Pool                       River   \n",
       "99            Sushi Restaurant         Japanese Restaurant   \n",
       "100              Auto Workshop                        Park   \n",
       "102              Tanning Salon              Sandwich Place   \n",
       "\n",
       "          4th Most Common Venue          5th Most Common Venue  \\\n",
       "1         Portuguese Restaurant              French Restaurant   \n",
       "2                           Pub                        Theater   \n",
       "3                      Boutique                     Shoe Store   \n",
       "4                   Yoga Studio                   Burger Joint   \n",
       "6                  Dessert Shop             Dim Sum Restaurant   \n",
       "7           Japanese Restaurant                    Coffee Shop   \n",
       "8                     Gastropub                   Intersection   \n",
       "9               Bubble Tea Shop             Italian Restaurant   \n",
       "10                Metro Station                    Pizza Place   \n",
       "12                Women's Store                     Donut Shop   \n",
       "13          Japanese Restaurant                    Coffee Shop   \n",
       "14           Athletics & Sports                   Dance Studio   \n",
       "15                 Cocktail Bar                      Gastropub   \n",
       "16                 Hockey Arena                    Event Space   \n",
       "17            Convenience Store                    Coffee Shop   \n",
       "18               Breakfast Spot                 Medical Center   \n",
       "19                Women's Store                   Dessert Shop   \n",
       "20                     Beer Bar                         Bakery   \n",
       "22                    Drugstore                          Diner   \n",
       "23       Furniture / Home Store                   Burger Joint   \n",
       "24               Sandwich Place            Fried Chicken Joint   \n",
       "25                   Baby Store                    Coffee Shop   \n",
       "26           Athletics & Sports           Caribbean Restaurant   \n",
       "27                         Pool                        Dog Run   \n",
       "28                  Bridal Shop                 Ice Cream Shop   \n",
       "29               Sandwich Place           Fast Food Restaurant   \n",
       "30               Clothing Store                Thai Restaurant   \n",
       "31                         Bank                    Supermarket   \n",
       "33                   Restaurant              Convenience Store   \n",
       "34           Miscellaneous Shop                            Bar   \n",
       "36                        Hotel                     Restaurant   \n",
       "37                         Café  Vegetarian / Vegan Restaurant   \n",
       "38                   Hobby Shop               Department Store   \n",
       "39          Japanese Restaurant                   Dessert Shop   \n",
       "40               Discount Store               Business Service   \n",
       "41               Ice Cream Shop             Frozen Yogurt Shop   \n",
       "42          Japanese Restaurant                     Restaurant   \n",
       "43                    Nightclub                      Pet Store   \n",
       "44                  Bus Station                           Park   \n",
       "46               Discount Store               Business Service   \n",
       "47                          Pub                        Brewery   \n",
       "48                        Hotel                            Gym   \n",
       "49                       Bakery                      Drugstore   \n",
       "50                  Event Space           Ethiopian Restaurant   \n",
       "53               Discount Store               Business Service   \n",
       "54                    Gastropub                        Brewery   \n",
       "55           Italian Restaurant               Sushi Restaurant   \n",
       "56             Doner Restaurant             Dim Sum Restaurant   \n",
       "58                 Skating Rink             Dim Sum Restaurant   \n",
       "59               Sandwich Place                           Café   \n",
       "60               Discount Store               Business Service   \n",
       "61   Construction & Landscaping                  Women's Store   \n",
       "62                  Event Space           Ethiopian Restaurant   \n",
       "63                Women's Store                     Donut Shop   \n",
       "65        Vietnamese Restaurant                        Brewery   \n",
       "67               Sandwich Place              Food & Drink Shop   \n",
       "68                     Bus Line                  Jewelry Store   \n",
       "69          Fried Chicken Joint      Cajun / Creole Restaurant   \n",
       "70               Sandwich Place             Chinese Restaurant   \n",
       "71                       Bakery                 Sandwich Place   \n",
       "72               Sandwich Place                           Café   \n",
       "73           Salon / Barbershop                   Dessert Shop   \n",
       "74               History Museum      Middle Eastern Restaurant   \n",
       "75               Breakfast Spot    Eastern European Restaurant   \n",
       "76                 Intersection      Middle Eastern Restaurant   \n",
       "77               Sandwich Place                  Women's Store   \n",
       "78               Breakfast Spot                   Skating Rink   \n",
       "79                  Coffee Shop                            Gym   \n",
       "80          Japanese Restaurant                      Bookstore   \n",
       "81             Sushi Restaurant                            Pub   \n",
       "82                  Gas Station             Italian Restaurant   \n",
       "84        Vietnamese Restaurant                         Bakery   \n",
       "86                  Supermarket                           Bank   \n",
       "87                Boat or Ferry            Rental Car Location   \n",
       "88         Fast Food Restaurant                   Liquor Store   \n",
       "89         Fast Food Restaurant                    Pizza Place   \n",
       "90               Cosmetics Shop                           Bank   \n",
       "92                   Restaurant             Seafood Restaurant   \n",
       "93               Sandwich Place                   Dance Studio   \n",
       "94                Women's Store               Doner Restaurant   \n",
       "96                         Park                         Bakery   \n",
       "97                          Gym                     Restaurant   \n",
       "98                   Smoke Shop        Comfort Food Restaurant   \n",
       "99                   Restaurant                    Yoga Studio   \n",
       "100                  Comic Shop                    Pizza Place   \n",
       "102                Burger Joint                  Burrito Place   \n",
       "\n",
       "           6th Most Common Venue          7th Most Common Venue  \\\n",
       "1                    Pizza Place    Eastern European Restaurant   \n",
       "2                 Breakfast Spot                           Café   \n",
       "3            Sporting Goods Shop             Miscellaneous Shop   \n",
       "4                           Bank                            Bar   \n",
       "6                          Diner                 Discount Store   \n",
       "7               Asian Restaurant                   Concert Hall   \n",
       "8           Fast Food Restaurant                      Pet Store   \n",
       "9            Japanese Restaurant                     Restaurant   \n",
       "10   Eastern European Restaurant                      Drugstore   \n",
       "12                         Diner                 Discount Store   \n",
       "13              Asian Restaurant                   Concert Hall   \n",
       "14                   Curling Ice                 Cosmetics Shop   \n",
       "15                Clothing Store             Italian Restaurant   \n",
       "16          Ethiopian Restaurant              Electronics Store   \n",
       "17                Cosmetics Shop                     Beer Store   \n",
       "18                  Intersection                           Bank   \n",
       "19            Dim Sum Restaurant                          Diner   \n",
       "20                    Restaurant                    Cheese Shop   \n",
       "22                Discount Store            Distribution Center   \n",
       "23             Fish & Chips Shop               Sushi Restaurant   \n",
       "24     Middle Eastern Restaurant                    Salad Place   \n",
       "25                    Restaurant             Italian Restaurant   \n",
       "26               Thai Restaurant                           Bank   \n",
       "27                 Women's Store               Doner Restaurant   \n",
       "28                   Supermarket      Middle Eastern Restaurant   \n",
       "29                  Burger Joint                 Discount Store   \n",
       "30                         Hotel                  Deli / Bodega   \n",
       "31     Middle Eastern Restaurant                           Café   \n",
       "33                    Shoe Store                           Bank   \n",
       "34                 Women's Store               Doner Restaurant   \n",
       "36           Sporting Goods Shop            Fried Chicken Joint   \n",
       "37              Asian Restaurant                    Men's Store   \n",
       "38                    Donut Shop             Dim Sum Restaurant   \n",
       "39                         Diner                 Discount Store   \n",
       "40                 Shopping Mall                   Liquor Store   \n",
       "41        Furniture / Home Store                      Bookstore   \n",
       "42           American Restaurant             Seafood Restaurant   \n",
       "43                       Stadium                  Burrito Place   \n",
       "44                 Metro Station                   Intersection   \n",
       "46                 Shopping Mall                   Liquor Store   \n",
       "47                 Burrito Place             Italian Restaurant   \n",
       "48           American Restaurant            Japanese Restaurant   \n",
       "49                Discount Store            Distribution Center   \n",
       "50             Electronics Store    Eastern European Restaurant   \n",
       "53                 Shopping Mall                   Liquor Store   \n",
       "54           American Restaurant        Comfort Food Restaurant   \n",
       "55               Thai Restaurant                       Pharmacy   \n",
       "56                         Diner                 Discount Store   \n",
       "58                         Diner                 Discount Store   \n",
       "59                    Restaurant                  Shopping Mall   \n",
       "60                 Shopping Mall                   Liquor Store   \n",
       "61              Doner Restaurant                          Diner   \n",
       "62             Electronics Store    Eastern European Restaurant   \n",
       "63                Discount Store            Distribution Center   \n",
       "65            Chinese Restaurant                   Dessert Shop   \n",
       "67                       Dog Run               Department Store   \n",
       "68                         Diner                 Discount Store   \n",
       "69                           Bar                         Bakery   \n",
       "70                 Women's Store            Distribution Center   \n",
       "71                 Shopping Mall              Accessories Store   \n",
       "72                    Restaurant                  Shopping Mall   \n",
       "73                          Café             Mexican Restaurant   \n",
       "74                           Pub                      BBQ Joint   \n",
       "75                       Dog Run                            Bar   \n",
       "76                 Burrito Place            American Restaurant   \n",
       "77                       Dog Run                          Diner   \n",
       "78                   Event Space           Ethiopian Restaurant   \n",
       "79            Italian Restaurant                           Café   \n",
       "80                    Restaurant                         Bakery   \n",
       "81            Italian Restaurant                       Tea Room   \n",
       "82           Fried Chicken Joint                Thai Restaurant   \n",
       "84                           Bar  Vegetarian / Vegan Restaurant   \n",
       "86              Sushi Restaurant             Light Rail Station   \n",
       "87                         Plane                       Boutique   \n",
       "88                      Pharmacy                    Pizza Place   \n",
       "89                   Coffee Shop                 Sandwich Place   \n",
       "90             Indian Restaurant                Bubble Tea Shop   \n",
       "92                      Beer Bar                   Cocktail Bar   \n",
       "93            Athletics & Sports                   Skating Rink   \n",
       "94                         Diner                 Discount Store   \n",
       "96                          Café             Italian Restaurant   \n",
       "97           Japanese Restaurant            American Restaurant   \n",
       "98                    Comic Shop           Ethiopian Restaurant   \n",
       "99      Mediterranean Restaurant                     Smoke Shop   \n",
       "100             Recording Studio                     Restaurant   \n",
       "102                       Bakery                 Discount Store   \n",
       "\n",
       "           8th Most Common Venue        9th Most Common Venue  \\\n",
       "1              Electronics Store                    Drugstore   \n",
       "2                     Shoe Store                   Restaurant   \n",
       "3            Arts & Crafts Store                Women's Store   \n",
       "4                       Beer Bar           Italian Restaurant   \n",
       "6            Distribution Center             Doner Restaurant   \n",
       "7             Chinese Restaurant                    Bike Shop   \n",
       "8                 Breakfast Spot                         Bank   \n",
       "9      Middle Eastern Restaurant               Cosmetics Shop   \n",
       "10                    Donut Shop             Doner Restaurant   \n",
       "12           Distribution Center                      Dog Run   \n",
       "13            Chinese Restaurant                    Bike Shop   \n",
       "14                    Beer Store                         Park   \n",
       "15                           Gym                   Restaurant   \n",
       "16   Eastern European Restaurant                    Drugstore   \n",
       "17                   Pizza Place                    Pet Store   \n",
       "18                Discount Store          Distribution Center   \n",
       "19                Discount Store          Distribution Center   \n",
       "20                          Café                     Creperie   \n",
       "22                       Dog Run             Doner Restaurant   \n",
       "23                Sandwich Place                  Supermarket   \n",
       "24               Bubble Tea Shop                          Bar   \n",
       "25            Athletics & Sports                        Diner   \n",
       "26           Fried Chicken Joint             Doner Restaurant   \n",
       "27            Dim Sum Restaurant                        Diner   \n",
       "28              Sushi Restaurant          Fried Chicken Joint   \n",
       "29                    Restaurant                         Bank   \n",
       "30                           Gym                  Pizza Place   \n",
       "31              Recording Studio                         Pool   \n",
       "33                        Bakery          Japanese Restaurant   \n",
       "34                Discount Store          Distribution Center   \n",
       "36                Scenic Lookout           Italian Restaurant   \n",
       "37                   Yoga Studio                         Park   \n",
       "38                         Diner          Distribution Center   \n",
       "39           Distribution Center                      Dog Run   \n",
       "40                    Food Truck               Baseball Field   \n",
       "41                           Spa            Indian Restaurant   \n",
       "42                   Salad Place                Deli / Bodega   \n",
       "43                    Restaurant                 Climbing Gym   \n",
       "44                Ice Cream Shop              Coworking Space   \n",
       "46                    Food Truck               Baseball Field   \n",
       "47                    Restaurant            Fish & Chips Shop   \n",
       "48            Italian Restaurant                Deli / Bodega   \n",
       "49                       Dog Run             Doner Restaurant   \n",
       "50                     Drugstore                   Donut Shop   \n",
       "53                    Food Truck               Baseball Field   \n",
       "54            Seafood Restaurant               Sandwich Place   \n",
       "55                   Pizza Place               Cosmetics Shop   \n",
       "56           Distribution Center                      Dog Run   \n",
       "58           Distribution Center                      Dog Run   \n",
       "59                         Plaza             Sushi Restaurant   \n",
       "60                    Food Truck               Baseball Field   \n",
       "61                Discount Store          Distribution Center   \n",
       "62                     Drugstore                   Donut Shop   \n",
       "63                       Dog Run             Doner Restaurant   \n",
       "65            Dim Sum Restaurant                        Diner   \n",
       "67                          Park                    Drugstore   \n",
       "68           Distribution Center                      Dog Run   \n",
       "69                     Speakeasy           Italian Restaurant   \n",
       "70            Dim Sum Restaurant                        Diner   \n",
       "71     Middle Eastern Restaurant         Ethiopian Restaurant   \n",
       "72                         Plaza             Sushi Restaurant   \n",
       "73           Sporting Goods Shop                        Diner   \n",
       "74                  Liquor Store                 Burger Joint   \n",
       "75            Italian Restaurant                   Restaurant   \n",
       "76                Sandwich Place     Mediterranean Restaurant   \n",
       "77                Discount Store          Distribution Center   \n",
       "78             Electronics Store           Dim Sum Restaurant   \n",
       "79              Sushi Restaurant                         Park   \n",
       "80                   Yoga Studio                     Beer Bar   \n",
       "81                         Diner                    Bookstore   \n",
       "82            Chinese Restaurant                         Bank   \n",
       "84                   Gaming Cafe                 Dessert Shop   \n",
       "86           Fried Chicken Joint                   Sports Bar   \n",
       "87               Harbor / Marina                          Bar   \n",
       "88                   Coffee Shop                         Café   \n",
       "89                      Pharmacy             Airport Terminal   \n",
       "90                Sandwich Place       Thrift / Vintage Store   \n",
       "92                         Hotel           Italian Restaurant   \n",
       "93                   Coffee Shop                     Pharmacy   \n",
       "94           Distribution Center                      Dog Run   \n",
       "96                    Restaurant                Jewelry Store   \n",
       "97              Asian Restaurant                Deli / Bodega   \n",
       "98             Electronics Store  Eastern European Restaurant   \n",
       "99                           Pub                Grocery Store   \n",
       "100                Burrito Place                      Brewery   \n",
       "102              Supplement Shop         Fast Food Restaurant   \n",
       "\n",
       "          10th Most Common Venue  \n",
       "1                     Donut Shop  \n",
       "2                 Chocolate Shop  \n",
       "3          Vietnamese Restaurant  \n",
       "4            Japanese Restaurant  \n",
       "6                  Deli / Bodega  \n",
       "7             Italian Restaurant  \n",
       "8           Gym / Fitness Center  \n",
       "9                        Theater  \n",
       "10                       Dog Run  \n",
       "12              Doner Restaurant  \n",
       "13            Italian Restaurant  \n",
       "14                         Diner  \n",
       "15            Seafood Restaurant  \n",
       "16                  Dessert Shop  \n",
       "17          Ethiopian Restaurant  \n",
       "18                       Dog Run  \n",
       "19                       Dog Run  \n",
       "20                        Museum  \n",
       "22                    Donut Shop  \n",
       "23                    Sports Bar  \n",
       "24                  Burger Joint  \n",
       "25                   Candy Store  \n",
       "26                       Dog Run  \n",
       "27                Discount Store  \n",
       "28                    Restaurant  \n",
       "29                   Supermarket  \n",
       "30                Cosmetics Shop  \n",
       "31                   Gas Station  \n",
       "33                    Food Court  \n",
       "34                       Dog Run  \n",
       "36                       Brewery  \n",
       "37                      Boutique  \n",
       "38                       Dog Run  \n",
       "39              Doner Restaurant  \n",
       "40                          Bank  \n",
       "41          Caribbean Restaurant  \n",
       "42              Asian Restaurant  \n",
       "43         Performing Arts Venue  \n",
       "44                      Creperie  \n",
       "46                          Bank  \n",
       "47                    Steakhouse  \n",
       "48            Seafood Restaurant  \n",
       "49                    Donut Shop  \n",
       "50              Doner Restaurant  \n",
       "53                          Bank  \n",
       "54                   Cheese Shop  \n",
       "55                           Pub  \n",
       "56                    Donut Shop  \n",
       "58              Doner Restaurant  \n",
       "59                  Home Service  \n",
       "60                          Bank  \n",
       "61                       Dog Run  \n",
       "62              Doner Restaurant  \n",
       "63                     Drugstore  \n",
       "65                Discount Store  \n",
       "67                    Donut Shop  \n",
       "68              Doner Restaurant  \n",
       "69        Furniture / Home Store  \n",
       "70                Discount Store  \n",
       "71             Electronics Store  \n",
       "72                  Home Service  \n",
       "73        Furniture / Home Store  \n",
       "74                Cosmetics Shop  \n",
       "75                 Movie Theater  \n",
       "76           Fried Chicken Joint  \n",
       "77              Doner Restaurant  \n",
       "78   Eastern European Restaurant  \n",
       "79             Indian Restaurant  \n",
       "80                    Beer Store  \n",
       "81                Sandwich Place  \n",
       "82                  Intersection  \n",
       "84                     Jazz Club  \n",
       "86                    Restaurant  \n",
       "87                  Airport Gate  \n",
       "88                    Restaurant  \n",
       "89                  Dessert Shop  \n",
       "90                   Coffee Shop  \n",
       "92                      Creperie  \n",
       "93                  Concert Hall  \n",
       "94                    Donut Shop  \n",
       "96           Japanese Restaurant  \n",
       "97                    Steakhouse  \n",
       "98                     Drugstore  \n",
       "99                   Men's Store  \n",
       "100                   Skate Park  \n",
       "102               Hardware Store  "
      ]
     },
     "execution_count": 197,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 198,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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",
       "      <td>32</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>2</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>East York</td>\n",
       "      <td>2</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>85</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>2</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "32  Scarborough               2            Playground         Women's Store   \n",
       "35    East York               2                  Park           Coffee Shop   \n",
       "85  Scarborough               2                  Park            Playground   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "32      Doner Restaurant          Dessert Shop    Dim Sum Restaurant   \n",
       "35     Convenience Store         Women's Store      Doner Restaurant   \n",
       "85           Coffee Shop         Women's Store      Doner Restaurant   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "32                 Diner        Discount Store   Distribution Center   \n",
       "35    Dim Sum Restaurant                 Diner        Discount Store   \n",
       "85    Dim Sum Restaurant                 Diner        Discount Store   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "32               Dog Run             Donut Shop  \n",
       "35   Distribution Center                Dog Run  \n",
       "85   Distribution Center                Dog Run  "
      ]
     },
     "execution_count": 198,
     "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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   "cell_type": "code",
   "execution_count": 199,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
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       "      <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",
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       "      <td>0</td>\n",
       "      <td>North York</td>\n",
       "      <td>3</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
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       "      <td>Distribution Center</td>\n",
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       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>York</td>\n",
       "      <td>3</td>\n",
       "      <td>Park</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>64</td>\n",
       "      <td>York</td>\n",
       "      <td>3</td>\n",
       "      <td>Park</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>66</td>\n",
       "      <td>North York</td>\n",
       "      <td>3</td>\n",
       "      <td>Park</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>83</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Park</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>91</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "0         North York               3     Food & Drink Shop   \n",
       "21              York               3                  Park   \n",
       "64              York               3                  Park   \n",
       "66        North York               3                  Park   \n",
       "83   Central Toronto               3                  Park   \n",
       "91  Downtown Toronto               3                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                   Park         Women's Store    Dim Sum Restaurant   \n",
       "21         Women's Store                   Spa            Donut Shop   \n",
       "64         Women's Store            Donut Shop    Dim Sum Restaurant   \n",
       "66     Convenience Store                  Bank                   Bar   \n",
       "83         Women's Store            Donut Shop    Dim Sum Restaurant   \n",
       "91                 Trail            Playground         Women's Store   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0                  Diner        Discount Store   Distribution Center   \n",
       "21                 Diner        Discount Store   Distribution Center   \n",
       "64                 Diner        Discount Store   Distribution Center   \n",
       "66         Women's Store            Donut Shop        Discount Store   \n",
       "83                 Diner        Discount Store   Distribution Center   \n",
       "91          Dessert Shop    Dim Sum Restaurant                 Diner   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue       10th Most Common Venue  \n",
       "0                Dog Run      Doner Restaurant                   Donut Shop  \n",
       "21               Dog Run      Doner Restaurant  Eastern European Restaurant  \n",
       "64               Dog Run      Doner Restaurant                    Drugstore  \n",
       "66   Distribution Center               Dog Run             Doner Restaurant  \n",
       "83               Dog Run      Doner Restaurant                    Drugstore  \n",
       "91        Discount Store   Distribution Center                      Dog Run  "
      ]
     },
     "execution_count": 199,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 3, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
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  {
   "cell_type": "code",
   "execution_count": 200,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <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",
       "      <td>57</td>\n",
       "      <td>North York</td>\n",
       "      <td>4</td>\n",
       "      <td>Paper / Office Supplies Store</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <td>101</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>4</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Field</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Borough  Cluster Labels          1st Most Common Venue  \\\n",
       "57   North York               4  Paper / Office Supplies Store   \n",
       "101   Etobicoke               4                 Baseball Field   \n",
       "\n",
       "    2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "57         Baseball Field         Women's Store            Donut Shop   \n",
       "101         Women's Store                 Diner        Discount Store   \n",
       "\n",
       "    5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "57                  Diner        Discount Store   Distribution Center   \n",
       "101   Distribution Center               Dog Run      Doner Restaurant   \n",
       "\n",
       "    8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "57                Dog Run      Doner Restaurant              Drugstore  \n",
       "101            Donut Shop             Drugstore                  Field  "
      ]
     },
     "execution_count": 200,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 4, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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