coursera.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This Notebook will be used for Coursera Capstone Project of IBM Data Science"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello Capstone Project Course!\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello Capstone Project Course!\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Web Scraping Data for Neighbourhoods in Torronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "import requests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "r= requests.get(\"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\")\n",
    "soup = BeautifulSoup(r.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </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",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode           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      Queen's Park                      Not assigned"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "table = soup.find_all(\"table\")[0]\n",
    "data = []\n",
    "temp = []\n",
    "\n",
    "for td in table.find_all('td'):\n",
    "    temp.append(td.get_text().rstrip())\n",
    "    if(len(temp) == 3):\n",
    "        if(temp[1] != 'Not assigned'):\n",
    "            #checking if previous added entry has same PostalCode\n",
    "            if(len(data) > 0 and data[len(data)-1][0] == temp[0]):\n",
    "                data[len(data)-1][2] = temp[2] + \", \" + data[len(data)-1][2]\n",
    "            else:\n",
    "                data.append(temp)\n",
    "        last=temp\n",
    "        temp = []\n",
    "df = pd.DataFrame(data, columns = ['PostalCode', 'Borough', 'Neighborhood'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding Latitutde and Longitude "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = pd.read_csv(\"https://cocl.us/Geospatial_data\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</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": [
       "  PostalCode   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": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.rename(columns= {\"Postal Code\": \"PostalCode\"}, inplace=True)\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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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>PostalCode</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>Queen's Park</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>M9A</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Islington Avenue</td>\n",
       "      <td>43.667856</td>\n",
       "      <td>-79.532242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills North</td>\n",
       "      <td>43.745906</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>M4B</td>\n",
       "      <td>East York</td>\n",
       "      <td>Parkview Hill, Woodbine Gardens</td>\n",
       "      <td>43.706397</td>\n",
       "      <td>-79.309937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>M6B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Glencairn</td>\n",
       "      <td>43.709577</td>\n",
       "      <td>-79.445073</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   PostalCode           Borough                      Neighborhood   Latitude  \\\n",
       "0         M3A        North York                         Parkwoods  43.753259   \n",
       "1         M4A        North York                  Victoria Village  43.725882   \n",
       "2         M5A  Downtown Toronto         Regent Park, Harbourfront  43.654260   \n",
       "3         M6A        North York  Lawrence Manor, Lawrence Heights  43.718518   \n",
       "4         M7A      Queen's Park                      Not assigned  43.662301   \n",
       "5         M9A         Etobicoke                  Islington Avenue  43.667856   \n",
       "6         M1B       Scarborough                    Malvern, Rouge  43.806686   \n",
       "7         M3B        North York                   Don Mills North  43.745906   \n",
       "8         M4B         East York   Parkview Hill, Woodbine Gardens  43.706397   \n",
       "9         M5B  Downtown Toronto          Garden District, Ryerson  43.657162   \n",
       "10        M6B        North York                         Glencairn  43.709577   \n",
       "\n",
       "    Longitude  \n",
       "0  -79.329656  \n",
       "1  -79.315572  \n",
       "2  -79.360636  \n",
       "3  -79.464763  \n",
       "4  -79.389494  \n",
       "5  -79.532242  \n",
       "6  -79.194353  \n",
       "7  -79.352188  \n",
       "8  -79.309937  \n",
       "9  -79.378937  \n",
       "10 -79.445073  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3 = pd.merge(df, df2, how='inner', on='PostalCode')\n",
    "df3.head(11)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Segmenting and Clustering Neighbourhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "from pandas.io.json import json_normalize"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only work with data that has Toronto in Borough"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\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>PostalCode</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>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>1</td>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M5E</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>43.644771</td>\n",
       "      <td>-79.373306</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode           Borough               Neighborhood   Latitude  \\\n",
       "0        M5A  Downtown Toronto  Regent Park, Harbourfront  43.654260   \n",
       "1        M5B  Downtown Toronto   Garden District, Ryerson  43.657162   \n",
       "2        M5C  Downtown Toronto             St. James Town  43.651494   \n",
       "3        M4E      East Toronto                The Beaches  43.676357   \n",
       "4        M5E  Downtown Toronto                Berczy Park  43.644771   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.360636  \n",
       "1 -79.378937  \n",
       "2 -79.375418  \n",
       "3 -79.293031  \n",
       "4 -79.373306  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "li = ['Downtown Toronto', 'East Toronto' , 'West Toronto' , 'Central Toronto']\n",
    "df4 = df3[df3.Borough.isin(li)]\n",
    "df4.reset_index(inplace=True, drop=True)\n",
    "df4.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating Map of Toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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            var html_1ba4ee976cc54f9e87335e35f1cff3bd = $(`<div id="html_1ba4ee976cc54f9e87335e35f1cff3bd" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern, East Toronto</div>`)[0];
            popup_55ac854d9fc745028c4f25e645a69a45.setContent(html_1ba4ee976cc54f9e87335e35f1cff3bd);
        

        circle_marker_47e2cab57b14461da599bb17124ae1f3.bindPopup(popup_55ac854d9fc745028c4f25e645a69a45)
        ;

        
    
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fbde3de25f8>"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map_toronto = folium.Map(location=[43.6532, -79.3832], zoom_start=12)\n",
    "\n",
    "for lat, lng, borough, neighborhood in zip(df4['Latitude'], df4['Longitude'], df4['Borough'], df4['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": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID = '3IUT4PW5215DP5MLXBOK1BO2DR2PSAZBVSLHQBMIZDPSQCSV' # your Foursquare ID\n",
    "CLIENT_SECRET = 'DMQF43K2IS42VOO3CXP5YLYZMU1FHSYPF231FV2VWPUTPYBF' # your Foursquare Secret\n",
    "VERSION = '20180605' # Foursquare API version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Regent Park, Harbourfront'"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4.loc[0, 'Neighborhood']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "neighborhood_latitude = df4.loc[0, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = df4.loc[0, 'Longitude'] # neighborhood longitude value\n",
    "radius = 500\n",
    "LIMIT = 100\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": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5d94396e66fc65002cb309b7'},\n",
       " 'response': {'headerLocation': 'Corktown',\n",
       "  'headerFullLocation': 'Corktown, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 51,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.6587599045, 'lng': -79.3544279001486},\n",
       "   'sw': {'lat': 43.6497598955, 'lng': -79.36684389985142}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '54ea41ad498e9a11e9e13308',\n",
       "       'name': 'Roselle Desserts',\n",
       "       'location': {'address': '362 King St E',\n",
       "        'crossStreet': 'Trinity St',\n",
       "        'lat': 43.653446723052674,\n",
       "        'lng': -79.3620167174383,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.653446723052674,\n",
       "          'lng': -79.3620167174383}],\n",
       "        'distance': 143,\n",
       "        'postalCode': 'M5A 1K9',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['362 King St E (Trinity St)',\n",
       "         'Toronto ON M5A 1K9',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d16a941735',\n",
       "         'name': 'Bakery',\n",
       "         'pluralName': 'Bakeries',\n",
       "         'shortName': 'Bakery',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/bakery_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-54ea41ad498e9a11e9e13308-0'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '53b8466a498e83df908c3f21',\n",
       "       'name': 'Tandem Coffee',\n",
       "       'location': {'address': '368 King St E',\n",
       "        'crossStreet': 'at Trinity St',\n",
       "        'lat': 43.65355870959944,\n",
       "        'lng': -79.36180945913513,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65355870959944,\n",
       "          'lng': -79.36180945913513}],\n",
       "        'distance': 122,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['368 King St E (at Trinity St)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1e0931735',\n",
       "         'name': 'Coffee Shop',\n",
       "         'pluralName': 'Coffee Shops',\n",
       "         'shortName': 'Coffee Shop',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-53b8466a498e83df908c3f21-1'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '574c229e498ebb5c6b257902',\n",
       "       'name': 'Toronto Cooper Koo Family Cherry St YMCA Centre',\n",
       "       'location': {'address': '461 Cherry Street',\n",
       "        'lat': 43.65319052672638,\n",
       "        'lng': -79.35794700053884,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65319052672638,\n",
       "          'lng': -79.35794700053884}],\n",
       "        'distance': 247,\n",
       "        'postalCode': 'M5A 1H1',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['461 Cherry Street',\n",
       "         'Toronto ON M5A 1H1',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d175941735',\n",
       "         'name': 'Gym / Fitness Center',\n",
       "         'pluralName': 'Gyms or Fitness Centers',\n",
       "         'shortName': 'Gym / Fitness',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-574c229e498ebb5c6b257902-2'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '50760559e4b0e8c7babe2497',\n",
       "       'name': 'Body Blitz Spa East',\n",
       "       'location': {'address': '497 King Street East',\n",
       "        'crossStreet': 'btwn Sackville St and Sumach St',\n",
       "        'lat': 43.65473505045365,\n",
       "        'lng': -79.35987433132891,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65473505045365,\n",
       "          'lng': -79.35987433132891}],\n",
       "        'distance': 80,\n",
       "        'postalCode': 'M5A 1L9',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['497 King Street East (btwn Sackville St and Sumach St)',\n",
       "         'Toronto ON M5A 1L9',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1ed941735',\n",
       "         'name': 'Spa',\n",
       "         'pluralName': 'Spas',\n",
       "         'shortName': 'Spa',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/spa_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-50760559e4b0e8c7babe2497-3'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '5612b1cc498e3dd742af0dc8',\n",
       "       'name': 'Impact Kitchen',\n",
       "       'location': {'address': '573 King St E',\n",
       "        'crossStreet': 'at St Lawrence St',\n",
       "        'lat': 43.65636850543279,\n",
       "        'lng': -79.35697968750694,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65636850543279,\n",
       "          'lng': -79.35697968750694}],\n",
       "        'distance': 376,\n",
       "        'postalCode': 'M5A 4L3',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['573 King St E (at St Lawrence St)',\n",
       "         'Toronto ON M5A 4L3',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1c4941735',\n",
       "         'name': 'Restaurant',\n",
       "         'pluralName': 'Restaurants',\n",
       "         'shortName': 'Restaurant',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/default_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-5612b1cc498e3dd742af0dc8-4'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ae5b91ff964a520a6a121e3',\n",
       "       'name': 'Morning Glory Cafe',\n",
       "       'location': {'address': '457 King St. E',\n",
       "        'crossStreet': 'Gilead Place',\n",
       "        'lat': 43.653946942635294,\n",
       "        'lng': -79.36114884214422,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.653946942635294,\n",
       "          'lng': -79.36114884214422}],\n",
       "        'distance': 54,\n",
       "        'postalCode': 'M5A 1L6',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['457 King St. E (Gilead Place)',\n",
       "         'Toronto ON M5A 1L6',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d143941735',\n",
       "         'name': 'Breakfast Spot',\n",
       "         'pluralName': 'Breakfast Spots',\n",
       "         'shortName': 'Breakfast',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/breakfast_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []},\n",
       "       'venuePage': {'id': '39686393'}},\n",
       "      'referralId': 'e-0-4ae5b91ff964a520a6a121e3-5'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4af59046f964a520e0f921e3',\n",
       "       'name': 'Figs Breakfast & Lunch',\n",
       "       'location': {'address': '344 Queen St. E.',\n",
       "        'crossStreet': 'at Parliament St.',\n",
       "        'lat': 43.65567455427388,\n",
       "        'lng': -79.3645032892494,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65567455427388,\n",
       "          'lng': -79.3645032892494}],\n",
       "        'distance': 349,\n",
       "        'postalCode': 'M5A 1S8',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['344 Queen St. E. (at Parliament St.)',\n",
       "         'Toronto ON M5A 1S8',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d143941735',\n",
       "         'name': 'Breakfast Spot',\n",
       "         'pluralName': 'Breakfast Spots',\n",
       "         'shortName': 'Breakfast',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/breakfast_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4af59046f964a520e0f921e3-6'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4e8b7fa1cc2112f67517660a',\n",
       "       'name': 'The Extension Room',\n",
       "       'location': {'address': '30 Eastern Ave',\n",
       "        'crossStreet': 'Sackville St.',\n",
       "        'lat': 43.65331304337331,\n",
       "        'lng': -79.35972538072777,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65331304337331,\n",
       "          'lng': -79.35972538072777}],\n",
       "        'distance': 128,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['30 Eastern Ave (Sackville St.)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d175941735',\n",
       "         'name': 'Gym / Fitness Center',\n",
       "         'pluralName': 'Gyms or Fitness Centers',\n",
       "         'shortName': 'Gym / Fitness',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/gym_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4e8b7fa1cc2112f67517660a-7'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '51ccc048498ec7792efc955e',\n",
       "       'name': 'Corktown Common',\n",
       "       'location': {'lat': 43.655617799749734,\n",
       "        'lng': -79.3562113397429,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.655617799749734,\n",
       "          'lng': -79.3562113397429}],\n",
       "        'distance': 387,\n",
       "        'cc': 'CA',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d163941735',\n",
       "         'name': 'Park',\n",
       "         'pluralName': 'Parks',\n",
       "         'shortName': 'Park',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-51ccc048498ec7792efc955e-8'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '566e1294498e3f6629006bc3',\n",
       "       'name': 'Dominion Pub and Kitchen',\n",
       "       'location': {'address': '500 Queen Street East',\n",
       "        'lat': 43.65691857501867,\n",
       "        'lng': -79.35896684476664,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65691857501867,\n",
       "          'lng': -79.35896684476664}],\n",
       "        'distance': 325,\n",
       "        'postalCode': 'M5A 1T9',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['500 Queen Street East',\n",
       "         'Toronto ON M5A 1T9',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d11b941735',\n",
       "         'name': 'Pub',\n",
       "         'pluralName': 'Pubs',\n",
       "         'shortName': 'Pub',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/pub_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-566e1294498e3f6629006bc3-9'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ad4c05ef964a520bff620e3',\n",
       "       'name': 'The Distillery Historic District',\n",
       "       'location': {'address': 'btwn Front, Cherry, Gardiner & Parliament',\n",
       "        'lat': 43.65024435658077,\n",
       "        'lng': -79.35932278633118,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65024435658077,\n",
       "          'lng': -79.35932278633118}],\n",
       "        'distance': 459,\n",
       "        'postalCode': 'M5A 3C4',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['btwn Front, Cherry, Gardiner & Parliament',\n",
       "         'Toronto ON M5A 3C4',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4deefb944765f83613cdba6e',\n",
       "         'name': 'Historic Site',\n",
       "         'pluralName': 'Historic Sites',\n",
       "         'shortName': 'Historic Site',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/arts_entertainment/historicsite_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4ad4c05ef964a520bff620e3-10'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b0978e1f964a520cd1723e3',\n",
       "       'name': 'SOMA chocolatemaker',\n",
       "       'location': {'address': '55 Mill Street, Unit #48',\n",
       "        'crossStreet': 'The Distillery District',\n",
       "        'lat': 43.65062222570758,\n",
       "        'lng': -79.35812684032683,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65062222570758,\n",
       "          'lng': -79.35812684032683}],\n",
       "        'distance': 452,\n",
       "        'postalCode': 'M5A 3C4',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
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       "         'Toronto ON M5A 3C4',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '50327c8591d4c4b30a586d5d',\n",
       "         'name': 'Brewery',\n",
       "         'pluralName': 'Breweries',\n",
       "         'shortName': 'Brewery',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/brewery_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4dbb2d7a6e815ab0de64d555-39'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
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       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '59d00b871ffe9715e465071c',\n",
       "       'name': 'The Abnormal Beauty Company',\n",
       "       'location': {'address': '18 Distillery Lane',\n",
       "        'lat': 43.649892147380996,\n",
       "        'lng': -79.3610051085219,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.649892147380996,\n",
       "          'lng': -79.3610051085219}],\n",
       "        'distance': 487,\n",
       "        'postalCode': 'M5A 3C4',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['18 Distillery Lane',\n",
       "         'Toronto ON M5A 3C4',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d10c951735',\n",
       "         'name': 'Cosmetics Shop',\n",
       "         'pluralName': 'Cosmetics Shops',\n",
       "         'shortName': 'Cosmetics',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/beauty_cosmetic_',\n",
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       "      'venue': {'id': '4d126fd3d1848cfad5cfbb71',\n",
       "       'name': 'TD Canada Trust',\n",
       "       'location': {'address': '457 Front Street East',\n",
       "        'lat': 43.652779762702764,\n",
       "        'lng': -79.3563362625656,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
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       "        'distance': 383,\n",
       "        'postalCode': 'M5A 0J2',\n",
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       "       'categories': [{'id': '4bf58dd8d48988d10a951735',\n",
       "         'name': 'Bank',\n",
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       "      'referralId': 'e-0-4d126fd3d1848cfad5cfbb71-41'},\n",
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       "      'venue': {'id': '4b8acdfdf964a520378232e3',\n",
       "       'name': 'The Beer Store',\n",
       "       'location': {'address': '28 River Street',\n",
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       "        'labeledLatLngs': [{'label': 'display',\n",
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       "        'formattedAddress': ['28 River Street (Queen St E)',\n",
       "         'Toronto ON M5A 3N9',\n",
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       "         'name': 'Beer Store',\n",
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       "         'shortName': 'Beer Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/beergarden_',\n",
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       "      'venue': {'id': '4b2cf78cf964a52077cb24e3',\n",
       "       'name': 'Savoury Grounds',\n",
       "       'location': {'address': '481 Queen St. East',\n",
       "        'crossStreet': 'Sumach St',\n",
       "        'lat': 43.656820970004496,\n",
       "        'lng': -79.3589698353747,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
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       "        'distance': 315,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['481 Queen St. East (Sumach St)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1e0931735',\n",
       "         'name': 'Coffee Shop',\n",
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       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',\n",
       "          'suffix': '.png'},\n",
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       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b2cf78cf964a52077cb24e3-43'},\n",
       "     {'reasons': {'count': 0,\n",
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       "      'venue': {'id': '51c085d3498eadedb67ba6cd',\n",
       "       'name': 'Flame Shack',\n",
       "       'location': {'address': '506 Queen St E',\n",
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       "        'lat': 43.656844075440546,\n",
       "        'lng': -79.35891727496157,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.656844075440546,\n",
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       "        'distance': 319,\n",
       "        'postalCode': 'M5A 1V2',\n",
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       "        'city': 'Toronto',\n",
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       "        'formattedAddress': ['506 Queen St E (Sumach St)',\n",
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       "         'name': 'Restaurant',\n",
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       "      'venue': {'id': '593b5fbea35dce738ebbb4ec',\n",
       "       'name': 'Residence & Conference Centre',\n",
       "       'location': {'address': '80 Cooperage',\n",
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       "        'lng': -79.35704,\n",
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       "      'venue': {'id': '5292543a498ec4d4c99c0c64',\n",
       "       'name': 'The Healthy Road',\n",
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       "        'lat': 43.656264585886454,\n",
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       "        'postalCode': 'M5A 1M1',\n",
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       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
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       "         'Toronto ON M5A 1M1',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '50aa9e744b90af0d42d5de0e',\n",
       "         'name': 'Health Food Store',\n",
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       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/food_grocery_',\n",
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       "      'referralId': 'e-0-5292543a498ec4d4c99c0c64-46'},\n",
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       "      'venue': {'id': '57dd8bcd498e8eec19b9c896',\n",
       "       'name': 'FUEL+',\n",
       "       'location': {'address': '469 Front St',\n",
       "        'crossStreet': 'Rolling Mills Rd',\n",
       "        'lat': 43.653193,\n",
       "        'lng': -79.355867,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.653193,\n",
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       "        'distance': 402,\n",
       "        'postalCode': 'M5A',\n",
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       "        'country': 'Canada',\n",
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       "       'categories': [{'id': '4bf58dd8d48988d1e0931735',\n",
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       "      'venue': {'id': '544ad85d498ebace721e3660',\n",
       "       'name': 'Tim Hortons',\n",
       "       'location': {'address': '589 King St East',\n",
       "        'crossStreet': 'River',\n",
       "        'lat': 43.6566309,\n",
       "        'lng': -79.3562402,\n",
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       "        'postalCode': 'M5V 1M1',\n",
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       "        'formattedAddress': ['589 King St East (River)',\n",
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       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1e0931735',\n",
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       "      'venue': {'id': '5b7ccd5e1f8ed6002c9bd7d0',\n",
       "       'name': 'The Aviary',\n",
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       "        'labeledLatLngs': [{'label': 'display',\n",
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       "        'postalCode': 'M5A 1H7',\n",
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       "        'formattedAddress': ['Toronto ON M5A 1H7', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d11b941735',\n",
       "         'name': 'Pub',\n",
       "         'pluralName': 'Pubs',\n",
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       "      'referralId': 'e-0-5b7ccd5e1f8ed6002c9bd7d0-49'},\n",
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       "      'venue': {'id': '579cc5f2498e0fe8397deebb',\n",
       "       'name': 'GW General',\n",
       "       'location': {'lat': 43.650495,\n",
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       "        'labeledLatLngs': [{'label': 'display',\n",
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       "       'categories': [{'id': '4bf58dd8d48988d116951735',\n",
       "         'name': 'Antique Shop',\n",
       "         'pluralName': 'Antique Shops',\n",
       "         'shortName': 'Antiques',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/antique_',\n",
       "          'suffix': '.png'},\n",
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       "      'referralId': 'e-0-579cc5f2498e0fe8397deebb-50'}]}]}}"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "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": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Regent Park, Harbourfront\n",
      "Garden District, Ryerson\n",
      "St. James Town\n",
      "The Beaches\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Christie\n",
      "Richmond, King, Adelaide\n",
      "Dufferin, Dovercourt Village\n",
      "Union Station, Toronto Islands, Harbourfront East\n",
      "Trinity, Little Portugal\n",
      "Riverdale, The Danforth West\n",
      "Toronto Dominion Centre, Design Exchange\n",
      "Parkdale Village, Exhibition Place, Brockton\n",
      "India Bazaar, The Beaches West\n",
      "Victoria Hotel, Commerce Court\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Roselawn\n",
      "Davisville North\n",
      "Forest Hill West, Forest Hill North\n",
      "The Junction South, High Park\n",
      "North Toronto West\n",
      "Yorkville, North Midtown, The Annex\n",
      "Roncesvalles, Parkdale\n",
      "Davisville\n",
      "University of Toronto, Harbord\n",
      "Swansea, Runnymede\n",
      "Summerhill East, Moore Park\n",
      "Kensington Market, Grange Park, Chinatown\n",
      "Summerhill West, South Hill, Rathnelly, Forest Hill SE, Deer Park\n",
      "South Niagara, Railway Lands, King and Spadina, Harbourfront West, Island airport, Bathurst Quay, CN Tower\n",
      "Rosedale\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "St. James Town, Cabbagetown\n",
      "Underground city, First Canadian Place\n",
      "Church and Wellesley\n",
      "Business Reply Mail Processing Centre 969 Eastern\n"
     ]
    }
   ],
   "source": [
    "toronto_venues = getNearbyVenues(names=df4['Neighborhood'],latitudes=df4['Latitude'],longitudes=df4['Longitude'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1709, 7)\n"
     ]
    },
    {
     "data": {
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       "      <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>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Roselle Desserts</td>\n",
       "      <td>43.653447</td>\n",
       "      <td>-79.362017</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Tandem Coffee</td>\n",
       "      <td>43.653559</td>\n",
       "      <td>-79.361809</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Toronto Cooper Koo Family Cherry St YMCA Centre</td>\n",
       "      <td>43.653191</td>\n",
       "      <td>-79.357947</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Body Blitz Spa East</td>\n",
       "      <td>43.654735</td>\n",
       "      <td>-79.359874</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Impact Kitchen</td>\n",
       "      <td>43.656369</td>\n",
       "      <td>-79.356980</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0  Regent Park, Harbourfront               43.65426              -79.360636   \n",
       "1  Regent Park, Harbourfront               43.65426              -79.360636   \n",
       "2  Regent Park, Harbourfront               43.65426              -79.360636   \n",
       "3  Regent Park, Harbourfront               43.65426              -79.360636   \n",
       "4  Regent Park, Harbourfront               43.65426              -79.360636   \n",
       "\n",
       "                                             Venue  Venue Latitude  \\\n",
       "0                                 Roselle Desserts       43.653447   \n",
       "1                                    Tandem Coffee       43.653559   \n",
       "2  Toronto Cooper Koo Family Cherry St YMCA Centre       43.653191   \n",
       "3                              Body Blitz Spa East       43.654735   \n",
       "4                                   Impact Kitchen       43.656369   \n",
       "\n",
       "   Venue Longitude        Venue Category  \n",
       "0       -79.362017                Bakery  \n",
       "1       -79.361809           Coffee Shop  \n",
       "2       -79.357947  Gym / Fitness Center  \n",
       "3       -79.359874                   Spa  \n",
       "4       -79.356980            Restaurant  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(toronto_venues.shape)\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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>Berczy Park</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Christie</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>92</td>\n",
       "      <td>92</td>\n",
       "      <td>92</td>\n",
       "      <td>92</td>\n",
       "      <td>92</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Davisville</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Davisville North</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Dufferin, Dovercourt Village</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Forest Hill West, Forest Hill North</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>Garden District, Ryerson</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Kensington Market, Grange Park, Chinatown</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>North Toronto West</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>Parkdale Village, Exhibition Place, Brockton</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Richmond, King, Adelaide</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Riverdale, The Danforth West</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Roncesvalles, Parkdale</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rosedale</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>Roselawn</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>South Niagara, Railway Lands, King and Spadina, Harbourfront West, Island airport, Bathurst Quay, CN Tower</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>St. James Town</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Studio District</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Summerhill East, Moore Park</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Summerhill West, South Hill, Rathnelly, Forest Hill SE, Deer Park</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Swansea, Runnymede</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>The Beaches</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>The Junction South, High Park</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Trinity, Little Portugal</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Underground city, First Canadian Place</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Union Station, Toronto Islands, Harbourfront East</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>University of Toronto, Harbord</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Victoria Hotel, Commerce Court</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Yorkville, North Midtown, The Annex</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Berczy Park                                                            56   \n",
       "Business Reply Mail Processing Centre 969 Eastern                      17   \n",
       "Central Bay Street                                                     84   \n",
       "Christie                                                               15   \n",
       "Church and Wellesley                                                   92   \n",
       "Davisville                                                             36   \n",
       "Davisville North                                                        8   \n",
       "Dufferin, Dovercourt Village                                           16   \n",
       "Forest Hill West, Forest Hill North                                     4   \n",
       "Garden District, Ryerson                                              100   \n",
       "India Bazaar, The Beaches West                                         20   \n",
       "Kensington Market, Grange Park, Chinatown                             100   \n",
       "Lawrence Park                                                           3   \n",
       "North Toronto West                                                     19   \n",
       "Parkdale Village, Exhibition Place, Brockton                           23   \n",
       "Regent Park, Harbourfront                                              51   \n",
       "Richmond, King, Adelaide                                              100   \n",
       "Riverdale, The Danforth West                                           44   \n",
       "Roncesvalles, Parkdale                                                 15   \n",
       "Rosedale                                                                5   \n",
       "Roselawn                                                                3   \n",
       "South Niagara, Railway Lands, King and Spadina,...                     17   \n",
       "St. James Town                                                        100   \n",
       "St. James Town, Cabbagetown                                            45   \n",
       "Stn A PO Boxes 25 The Esplanade                                        98   \n",
       "Studio District                                                        38   \n",
       "Summerhill East, Moore Park                                             3   \n",
       "Summerhill West, South Hill, Rathnelly, Forest ...                     15   \n",
       "Swansea, Runnymede                                                     35   \n",
       "The Beaches                                                             5   \n",
       "The Junction South, High Park                                          22   \n",
       "Toronto Dominion Centre, Design Exchange                              100   \n",
       "Trinity, Little Portugal                                               64   \n",
       "Underground city, First Canadian Place                                100   \n",
       "Union Station, Toronto Islands, Harbourfront East                     100   \n",
       "University of Toronto, Harbord                                         33   \n",
       "Victoria Hotel, Commerce Court                                        100   \n",
       "Yorkville, North Midtown, The Annex                                    23   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Berczy Park                                                             56   \n",
       "Business Reply Mail Processing Centre 969 Eastern                       17   \n",
       "Central Bay Street                                                      84   \n",
       "Christie                                                                15   \n",
       "Church and Wellesley                                                    92   \n",
       "Davisville                                                              36   \n",
       "Davisville North                                                         8   \n",
       "Dufferin, Dovercourt Village                                            16   \n",
       "Forest Hill West, Forest Hill North                                      4   \n",
       "Garden District, Ryerson                                               100   \n",
       "India Bazaar, The Beaches West                                          20   \n",
       "Kensington Market, Grange Park, Chinatown                              100   \n",
       "Lawrence Park                                                            3   \n",
       "North Toronto West                                                      19   \n",
       "Parkdale Village, Exhibition Place, Brockton                            23   \n",
       "Regent Park, Harbourfront                                               51   \n",
       "Richmond, King, Adelaide                                               100   \n",
       "Riverdale, The Danforth West                                            44   \n",
       "Roncesvalles, Parkdale                                                  15   \n",
       "Rosedale                                                                 5   \n",
       "Roselawn                                                                 3   \n",
       "South Niagara, Railway Lands, King and Spadina,...                      17   \n",
       "St. James Town                                                         100   \n",
       "St. James Town, Cabbagetown                                             45   \n",
       "Stn A PO Boxes 25 The Esplanade                                         98   \n",
       "Studio District                                                         38   \n",
       "Summerhill East, Moore Park                                              3   \n",
       "Summerhill West, South Hill, Rathnelly, Forest ...                      15   \n",
       "Swansea, Runnymede                                                      35   \n",
       "The Beaches                                                              5   \n",
       "The Junction South, High Park                                           22   \n",
       "Toronto Dominion Centre, Design Exchange                               100   \n",
       "Trinity, Little Portugal                                                64   \n",
       "Underground city, First Canadian Place                                 100   \n",
       "Union Station, Toronto Islands, Harbourfront East                      100   \n",
       "University of Toronto, Harbord                                          33   \n",
       "Victoria Hotel, Commerce Court                                         100   \n",
       "Yorkville, North Midtown, The Annex                                     23   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Berczy Park                                            56              56   \n",
       "Business Reply Mail Processing Centre 969 Eastern      17              17   \n",
       "Central Bay Street                                     84              84   \n",
       "Christie                                               15              15   \n",
       "Church and Wellesley                                   92              92   \n",
       "Davisville                                             36              36   \n",
       "Davisville North                                        8               8   \n",
       "Dufferin, Dovercourt Village                           16              16   \n",
       "Forest Hill West, Forest Hill North                     4               4   \n",
       "Garden District, Ryerson                              100             100   \n",
       "India Bazaar, The Beaches West                         20              20   \n",
       "Kensington Market, Grange Park, Chinatown             100             100   \n",
       "Lawrence Park                                           3               3   \n",
       "North Toronto West                                     19              19   \n",
       "Parkdale Village, Exhibition Place, Brockton           23              23   \n",
       "Regent Park, Harbourfront                              51              51   \n",
       "Richmond, King, Adelaide                              100             100   \n",
       "Riverdale, The Danforth West                           44              44   \n",
       "Roncesvalles, Parkdale                                 15              15   \n",
       "Rosedale                                                5               5   \n",
       "Roselawn                                                3               3   \n",
       "South Niagara, Railway Lands, King and Spadina,...     17              17   \n",
       "St. James Town                                        100             100   \n",
       "St. James Town, Cabbagetown                            45              45   \n",
       "Stn A PO Boxes 25 The Esplanade                        98              98   \n",
       "Studio District                                        38              38   \n",
       "Summerhill East, Moore Park                             3               3   \n",
       "Summerhill West, South Hill, Rathnelly, Forest ...     15              15   \n",
       "Swansea, Runnymede                                     35              35   \n",
       "The Beaches                                             5               5   \n",
       "The Junction South, High Park                          22              22   \n",
       "Toronto Dominion Centre, Design Exchange              100             100   \n",
       "Trinity, Little Portugal                               64              64   \n",
       "Underground city, First Canadian Place                100             100   \n",
       "Union Station, Toronto Islands, Harbourfront East     100             100   \n",
       "University of Toronto, Harbord                         33              33   \n",
       "Victoria Hotel, Commerce Court                        100             100   \n",
       "Yorkville, North Midtown, The Annex                    23              23   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Berczy Park                                                      56   \n",
       "Business Reply Mail Processing Centre 969 Eastern                17   \n",
       "Central Bay Street                                               84   \n",
       "Christie                                                         15   \n",
       "Church and Wellesley                                             92   \n",
       "Davisville                                                       36   \n",
       "Davisville North                                                  8   \n",
       "Dufferin, Dovercourt Village                                     16   \n",
       "Forest Hill West, Forest Hill North                               4   \n",
       "Garden District, Ryerson                                        100   \n",
       "India Bazaar, The Beaches West                                   20   \n",
       "Kensington Market, Grange Park, Chinatown                       100   \n",
       "Lawrence Park                                                     3   \n",
       "North Toronto West                                               19   \n",
       "Parkdale Village, Exhibition Place, Brockton                     23   \n",
       "Regent Park, Harbourfront                                        51   \n",
       "Richmond, King, Adelaide                                        100   \n",
       "Riverdale, The Danforth West                                     44   \n",
       "Roncesvalles, Parkdale                                           15   \n",
       "Rosedale                                                          5   \n",
       "Roselawn                                                          3   \n",
       "South Niagara, Railway Lands, King and Spadina,...               17   \n",
       "St. James Town                                                  100   \n",
       "St. James Town, Cabbagetown                                      45   \n",
       "Stn A PO Boxes 25 The Esplanade                                  98   \n",
       "Studio District                                                  38   \n",
       "Summerhill East, Moore Park                                       3   \n",
       "Summerhill West, South Hill, Rathnelly, Forest ...               15   \n",
       "Swansea, Runnymede                                               35   \n",
       "The Beaches                                                       5   \n",
       "The Junction South, High Park                                    22   \n",
       "Toronto Dominion Centre, Design Exchange                        100   \n",
       "Trinity, Little Portugal                                         64   \n",
       "Underground city, First Canadian Place                          100   \n",
       "Union Station, Toronto Islands, Harbourfront East               100   \n",
       "University of Toronto, Harbord                                   33   \n",
       "Victoria Hotel, Commerce Court                                  100   \n",
       "Yorkville, North Midtown, The Annex                              23   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Berczy Park                                                     56  \n",
       "Business Reply Mail Processing Centre 969 Eastern               17  \n",
       "Central Bay Street                                              84  \n",
       "Christie                                                        15  \n",
       "Church and Wellesley                                            92  \n",
       "Davisville                                                      36  \n",
       "Davisville North                                                 8  \n",
       "Dufferin, Dovercourt Village                                    16  \n",
       "Forest Hill West, Forest Hill North                              4  \n",
       "Garden District, Ryerson                                       100  \n",
       "India Bazaar, The Beaches West                                  20  \n",
       "Kensington Market, Grange Park, Chinatown                      100  \n",
       "Lawrence Park                                                    3  \n",
       "North Toronto West                                              19  \n",
       "Parkdale Village, Exhibition Place, Brockton                    23  \n",
       "Regent Park, Harbourfront                                       51  \n",
       "Richmond, King, Adelaide                                       100  \n",
       "Riverdale, The Danforth West                                    44  \n",
       "Roncesvalles, Parkdale                                          15  \n",
       "Rosedale                                                         5  \n",
       "Roselawn                                                         3  \n",
       "South Niagara, Railway Lands, King and Spadina,...              17  \n",
       "St. James Town                                                 100  \n",
       "St. James Town, Cabbagetown                                     45  \n",
       "Stn A PO Boxes 25 The Esplanade                                 98  \n",
       "Studio District                                                 38  \n",
       "Summerhill East, Moore Park                                      3  \n",
       "Summerhill West, South Hill, Rathnelly, Forest ...              15  \n",
       "Swansea, Runnymede                                              35  \n",
       "The Beaches                                                      5  \n",
       "The Junction South, High Park                                   22  \n",
       "Toronto Dominion Centre, Design Exchange                       100  \n",
       "Trinity, Little Portugal                                        64  \n",
       "Underground city, First Canadian Place                         100  \n",
       "Union Station, Toronto Islands, Harbourfront East              100  \n",
       "University of Toronto, Harbord                                  33  \n",
       "Victoria Hotel, Commerce Court                                 100  \n",
       "Yorkville, North Midtown, The Annex                             23  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Analyse Each Neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "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>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>...</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 236 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Yoga Studio  Afghan Restaurant  Airport  Airport Food Court  Airport Gate  \\\n",
       "0            0                  0        0                   0             0   \n",
       "1            0                  0        0                   0             0   \n",
       "2            0                  0        0                   0             0   \n",
       "3            0                  0        0                   0             0   \n",
       "4            0                  0        0                   0             0   \n",
       "\n",
       "   Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0               0                0                 0                    0   \n",
       "1               0                0                 0                    0   \n",
       "2               0                0                 0                    0   \n",
       "3               0                0                 0                    0   \n",
       "4               0                0                 0                    0   \n",
       "\n",
       "   Antique Shop  ...  Theater  Theme Restaurant  Toy / Game Store  Trail  \\\n",
       "0             0  ...        0                 0                 0      0   \n",
       "1             0  ...        0                 0                 0      0   \n",
       "2             0  ...        0                 0                 0      0   \n",
       "3             0  ...        0                 0                 0      0   \n",
       "4             0  ...        0                 0                 0      0   \n",
       "\n",
       "   Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0              0                              0                 0   \n",
       "1              0                              0                 0   \n",
       "2              0                              0                 0   \n",
       "3              0                              0                 0   \n",
       "4              0                              0                 0   \n",
       "\n",
       "   Vietnamese Restaurant  Wine Bar  Wings Joint  \n",
       "0                      0         0            0  \n",
       "1                      0         0            0  \n",
       "2                      0         0            0  \n",
       "3                      0         0            0  \n",
       "4                      0         0            0  \n",
       "\n",
       "[5 rows x 236 columns]"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "toronto_onehot['Neighborhood'] = toronto_venues['Neighborhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "\n",
    "toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1709, 236)"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
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       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
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       "      <th>Theater</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
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       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
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       "    <tr>\n",
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       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Central Bay Street</td>\n",
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       "      <td>0.011905</td>\n",
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       "      <td>0.00000</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>0.011905</td>\n",
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       "      <td>0.011905</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Christie</td>\n",
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       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Church and Wellesley</td>\n",
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       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.027778</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Davisville North</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Dufferin, Dovercourt Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Forest Hill West, Forest Hill North</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Kensington Market, Grange Park, Chinatown</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Parkdale Village, Exhibition Place, Brockton</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0.019608</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.039216</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>Richmond, King, Adelaide</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Riverdale, The Danforth West</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Roncesvalles, Parkdale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>South Niagara, Railway Lands, King and Spadina...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.176471</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022222</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010204</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.052632</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Summerhill East, Moore Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Summerhill West, South Hill, Rathnelly, Forest...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Swansea, Runnymede</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.028571</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>The Junction South, High Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>Trinity, Little Portugal</td>\n",
       "      <td>0.015625</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015625</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.015625</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.015625</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Underground city, First Canadian Place</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>Union Station, Toronto Islands, Harbourfront East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>University of Toronto, Harbord</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>Victoria Hotel, Commerce Court</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>Yorkville, North Midtown, The Annex</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>38 rows × 236 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Yoga Studio  \\\n",
       "0                                         Berczy Park     0.000000   \n",
       "1   Business Reply Mail Processing Centre 969 Eastern     0.058824   \n",
       "2                                  Central Bay Street     0.011905   \n",
       "3                                            Christie     0.000000   \n",
       "4                                Church and Wellesley     0.010870   \n",
       "5                                          Davisville     0.000000   \n",
       "6                                    Davisville North     0.000000   \n",
       "7                        Dufferin, Dovercourt Village     0.000000   \n",
       "8                 Forest Hill West, Forest Hill North     0.000000   \n",
       "9                            Garden District, Ryerson     0.000000   \n",
       "10                     India Bazaar, The Beaches West     0.000000   \n",
       "11          Kensington Market, Grange Park, Chinatown     0.000000   \n",
       "12                                      Lawrence Park     0.000000   \n",
       "13                                 North Toronto West     0.052632   \n",
       "14       Parkdale Village, Exhibition Place, Brockton     0.043478   \n",
       "15                          Regent Park, Harbourfront     0.019608   \n",
       "16                           Richmond, King, Adelaide     0.000000   \n",
       "17                       Riverdale, The Danforth West     0.022727   \n",
       "18                             Roncesvalles, Parkdale     0.000000   \n",
       "19                                           Rosedale     0.000000   \n",
       "20                                           Roselawn     0.000000   \n",
       "21  South Niagara, Railway Lands, King and Spadina...     0.000000   \n",
       "22                                     St. James Town     0.000000   \n",
       "23                        St. James Town, Cabbagetown     0.000000   \n",
       "24                    Stn A PO Boxes 25 The Esplanade     0.000000   \n",
       "25                                    Studio District     0.026316   \n",
       "26                        Summerhill East, Moore Park     0.000000   \n",
       "27  Summerhill West, South Hill, Rathnelly, Forest...     0.000000   \n",
       "28                                 Swansea, Runnymede     0.000000   \n",
       "29                                        The Beaches     0.000000   \n",
       "30                      The Junction South, High Park     0.000000   \n",
       "31           Toronto Dominion Centre, Design Exchange     0.000000   \n",
       "32                           Trinity, Little Portugal     0.015625   \n",
       "33             Underground city, First Canadian Place     0.000000   \n",
       "34  Union Station, Toronto Islands, Harbourfront East     0.000000   \n",
       "35                     University of Toronto, Harbord     0.000000   \n",
       "36                     Victoria Hotel, Commerce Court     0.000000   \n",
       "37                Yorkville, North Midtown, The Annex     0.000000   \n",
       "\n",
       "    Afghan Restaurant   Airport  Airport Food Court  Airport Gate  \\\n",
       "0             0.00000  0.000000            0.000000      0.000000   \n",
       "1             0.00000  0.000000            0.000000      0.000000   \n",
       "2             0.00000  0.000000            0.000000      0.000000   \n",
       "3             0.00000  0.000000            0.000000      0.000000   \n",
       "4             0.01087  0.000000            0.000000      0.000000   \n",
       "5             0.00000  0.000000            0.000000      0.000000   \n",
       "6             0.00000  0.000000            0.000000      0.000000   \n",
       "7             0.00000  0.000000            0.000000      0.000000   \n",
       "8             0.00000  0.000000            0.000000      0.000000   \n",
       "9             0.00000  0.000000            0.000000      0.000000   \n",
       "10            0.00000  0.000000            0.000000      0.000000   \n",
       "11            0.00000  0.000000            0.000000      0.000000   \n",
       "12            0.00000  0.000000            0.000000      0.000000   \n",
       "13            0.00000  0.000000            0.000000      0.000000   \n",
       "14            0.00000  0.000000            0.000000      0.000000   \n",
       "15            0.00000  0.000000            0.000000      0.000000   \n",
       "16            0.00000  0.000000            0.000000      0.000000   \n",
       "17            0.00000  0.000000            0.000000      0.000000   \n",
       "18            0.00000  0.000000            0.000000      0.000000   \n",
       "19            0.00000  0.000000            0.000000      0.000000   \n",
       "20            0.00000  0.000000            0.000000      0.000000   \n",
       "21            0.00000  0.058824            0.058824      0.058824   \n",
       "22            0.00000  0.000000            0.000000      0.000000   \n",
       "23            0.00000  0.000000            0.000000      0.000000   \n",
       "24            0.00000  0.000000            0.000000      0.000000   \n",
       "25            0.00000  0.000000            0.000000      0.000000   \n",
       "26            0.00000  0.000000            0.000000      0.000000   \n",
       "27            0.00000  0.000000            0.000000      0.000000   \n",
       "28            0.00000  0.000000            0.000000      0.000000   \n",
       "29            0.00000  0.000000            0.000000      0.000000   \n",
       "30            0.00000  0.000000            0.000000      0.000000   \n",
       "31            0.00000  0.000000            0.000000      0.000000   \n",
       "32            0.00000  0.000000            0.000000      0.000000   \n",
       "33            0.00000  0.000000            0.000000      0.000000   \n",
       "34            0.00000  0.000000            0.000000      0.000000   \n",
       "35            0.00000  0.000000            0.000000      0.000000   \n",
       "36            0.00000  0.000000            0.000000      0.000000   \n",
       "37            0.00000  0.000000            0.000000      0.000000   \n",
       "\n",
       "    Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0         0.000000         0.000000          0.000000             0.000000   \n",
       "1         0.000000         0.000000          0.000000             0.000000   \n",
       "2         0.000000         0.000000          0.000000             0.011905   \n",
       "3         0.000000         0.000000          0.000000             0.000000   \n",
       "4         0.000000         0.000000          0.000000             0.010870   \n",
       "5         0.000000         0.000000          0.000000             0.000000   \n",
       "6         0.000000         0.000000          0.000000             0.000000   \n",
       "7         0.000000         0.000000          0.000000             0.000000   \n",
       "8         0.000000         0.000000          0.000000             0.000000   \n",
       "9         0.000000         0.000000          0.000000             0.010000   \n",
       "10        0.000000         0.000000          0.000000             0.000000   \n",
       "11        0.000000         0.000000          0.000000             0.000000   \n",
       "12        0.000000         0.000000          0.000000             0.000000   \n",
       "13        0.000000         0.000000          0.000000             0.000000   \n",
       "14        0.000000         0.000000          0.000000             0.000000   \n",
       "15        0.000000         0.000000          0.000000             0.000000   \n",
       "16        0.000000         0.000000          0.000000             0.030000   \n",
       "17        0.000000         0.000000          0.000000             0.022727   \n",
       "18        0.000000         0.000000          0.000000             0.000000   \n",
       "19        0.000000         0.000000          0.000000             0.000000   \n",
       "20        0.000000         0.000000          0.000000             0.000000   \n",
       "21        0.117647         0.176471          0.117647             0.000000   \n",
       "22        0.000000         0.000000          0.000000             0.020000   \n",
       "23        0.000000         0.000000          0.000000             0.022222   \n",
       "24        0.000000         0.000000          0.000000             0.000000   \n",
       "25        0.000000         0.000000          0.000000             0.052632   \n",
       "26        0.000000         0.000000          0.000000             0.000000   \n",
       "27        0.000000         0.000000          0.000000             0.066667   \n",
       "28        0.000000         0.000000          0.000000             0.000000   \n",
       "29        0.000000         0.000000          0.000000             0.000000   \n",
       "30        0.000000         0.000000          0.000000             0.000000   \n",
       "31        0.000000         0.000000          0.000000             0.030000   \n",
       "32        0.000000         0.000000          0.000000             0.000000   \n",
       "33        0.000000         0.000000          0.000000             0.030000   \n",
       "34        0.000000         0.000000          0.000000             0.000000   \n",
       "35        0.000000         0.000000          0.000000             0.000000   \n",
       "36        0.000000         0.000000          0.000000             0.040000   \n",
       "37        0.000000         0.000000          0.000000             0.043478   \n",
       "\n",
       "    ...   Theater  Theme Restaurant  Toy / Game Store     Trail  \\\n",
       "0   ...  0.000000           0.00000          0.000000  0.000000   \n",
       "1   ...  0.000000           0.00000          0.000000  0.000000   \n",
       "2   ...  0.000000           0.00000          0.000000  0.000000   \n",
       "3   ...  0.000000           0.00000          0.000000  0.000000   \n",
       "4   ...  0.010870           0.01087          0.000000  0.000000   \n",
       "5   ...  0.000000           0.00000          0.027778  0.000000   \n",
       "6   ...  0.000000           0.00000          0.000000  0.000000   \n",
       "7   ...  0.000000           0.00000          0.000000  0.000000   \n",
       "8   ...  0.000000           0.00000          0.000000  0.250000   \n",
       "9   ...  0.020000           0.00000          0.010000  0.000000   \n",
       "10  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "11  ...  0.000000           0.00000          0.010000  0.000000   \n",
       "12  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "13  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "14  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "15  ...  0.039216           0.00000          0.000000  0.000000   \n",
       "16  ...  0.010000           0.00000          0.000000  0.000000   \n",
       "17  ...  0.000000           0.00000          0.000000  0.022727   \n",
       "18  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "19  ...  0.000000           0.00000          0.000000  0.200000   \n",
       "20  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "21  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "22  ...  0.010000           0.00000          0.000000  0.000000   \n",
       "23  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "24  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "25  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "26  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "27  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "28  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "29  ...  0.000000           0.00000          0.000000  0.200000   \n",
       "30  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "31  ...  0.010000           0.00000          0.000000  0.000000   \n",
       "32  ...  0.015625           0.00000          0.000000  0.000000   \n",
       "33  ...  0.010000           0.00000          0.000000  0.000000   \n",
       "34  ...  0.010000           0.00000          0.000000  0.000000   \n",
       "35  ...  0.030303           0.00000          0.000000  0.000000   \n",
       "36  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "37  ...  0.000000           0.00000          0.000000  0.000000   \n",
       "\n",
       "    Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0            0.00                       0.017857          0.000000   \n",
       "1            0.00                       0.000000          0.000000   \n",
       "2            0.00                       0.011905          0.000000   \n",
       "3            0.00                       0.000000          0.000000   \n",
       "4            0.00                       0.000000          0.010870   \n",
       "5            0.00                       0.000000          0.000000   \n",
       "6            0.00                       0.000000          0.000000   \n",
       "7            0.00                       0.000000          0.000000   \n",
       "8            0.00                       0.000000          0.000000   \n",
       "9            0.00                       0.010000          0.010000   \n",
       "10           0.00                       0.000000          0.000000   \n",
       "11           0.00                       0.060000          0.000000   \n",
       "12           0.00                       0.000000          0.000000   \n",
       "13           0.00                       0.000000          0.000000   \n",
       "14           0.00                       0.000000          0.000000   \n",
       "15           0.00                       0.000000          0.000000   \n",
       "16           0.00                       0.020000          0.000000   \n",
       "17           0.00                       0.000000          0.000000   \n",
       "18           0.00                       0.000000          0.000000   \n",
       "19           0.00                       0.000000          0.000000   \n",
       "20           0.00                       0.000000          0.000000   \n",
       "21           0.00                       0.000000          0.000000   \n",
       "22           0.00                       0.010000          0.000000   \n",
       "23           0.00                       0.000000          0.000000   \n",
       "24           0.00                       0.010204          0.000000   \n",
       "25           0.00                       0.000000          0.000000   \n",
       "26           0.00                       0.000000          0.000000   \n",
       "27           0.00                       0.000000          0.000000   \n",
       "28           0.00                       0.028571          0.000000   \n",
       "29           0.00                       0.000000          0.000000   \n",
       "30           0.00                       0.000000          0.000000   \n",
       "31           0.01                       0.010000          0.000000   \n",
       "32           0.00                       0.015625          0.000000   \n",
       "33           0.01                       0.010000          0.000000   \n",
       "34           0.01                       0.010000          0.000000   \n",
       "35           0.00                       0.000000          0.030303   \n",
       "36           0.00                       0.020000          0.000000   \n",
       "37           0.00                       0.043478          0.000000   \n",
       "\n",
       "    Vietnamese Restaurant  Wine Bar  Wings Joint  \n",
       "0                0.000000  0.000000      0.00000  \n",
       "1                0.000000  0.000000      0.00000  \n",
       "2                0.000000  0.011905      0.00000  \n",
       "3                0.000000  0.000000      0.00000  \n",
       "4                0.010870  0.000000      0.01087  \n",
       "5                0.000000  0.000000      0.00000  \n",
       "6                0.000000  0.000000      0.00000  \n",
       "7                0.000000  0.000000      0.00000  \n",
       "8                0.000000  0.000000      0.00000  \n",
       "9                0.010000  0.010000      0.00000  \n",
       "10               0.000000  0.000000      0.00000  \n",
       "11               0.040000  0.010000      0.00000  \n",
       "12               0.000000  0.000000      0.00000  \n",
       "13               0.000000  0.000000      0.00000  \n",
       "14               0.000000  0.000000      0.00000  \n",
       "15               0.000000  0.000000      0.00000  \n",
       "16               0.000000  0.010000      0.00000  \n",
       "17               0.000000  0.000000      0.00000  \n",
       "18               0.000000  0.000000      0.00000  \n",
       "19               0.000000  0.000000      0.00000  \n",
       "20               0.000000  0.000000      0.00000  \n",
       "21               0.000000  0.000000      0.00000  \n",
       "22               0.000000  0.010000      0.00000  \n",
       "23               0.000000  0.000000      0.00000  \n",
       "24               0.000000  0.000000      0.00000  \n",
       "25               0.000000  0.000000      0.00000  \n",
       "26               0.000000  0.000000      0.00000  \n",
       "27               0.066667  0.000000      0.00000  \n",
       "28               0.000000  0.000000      0.00000  \n",
       "29               0.000000  0.000000      0.00000  \n",
       "30               0.000000  0.000000      0.00000  \n",
       "31               0.000000  0.010000      0.00000  \n",
       "32               0.031250  0.015625      0.00000  \n",
       "33               0.000000  0.010000      0.00000  \n",
       "34               0.000000  0.010000      0.00000  \n",
       "35               0.000000  0.000000      0.00000  \n",
       "36               0.000000  0.010000      0.00000  \n",
       "37               0.000000  0.000000      0.00000  \n",
       "\n",
       "[38 rows x 236 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "toronto_grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's print each neighborhood along with the top 5 most common venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Berczy Park----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.07\n",
      "1        Cocktail Bar  0.05\n",
      "2              Bakery  0.04\n",
      "3  Italian Restaurant  0.04\n",
      "4                Café  0.04\n",
      "\n",
      "\n",
      "----Business Reply Mail Processing Centre 969 Eastern----\n",
      "                venue  freq\n",
      "0  Light Rail Station  0.12\n",
      "1         Yoga Studio  0.06\n",
      "2          Restaurant  0.06\n",
      "3         Pizza Place  0.06\n",
      "4          Skate Park  0.06\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.14\n",
      "1         Italian Restaurant  0.05\n",
      "2                       Café  0.05\n",
      "3  Middle Eastern Restaurant  0.04\n",
      "4               Burger Joint  0.04\n",
      "\n",
      "\n",
      "----Christie----\n",
      "               venue  freq\n",
      "0      Grocery Store  0.20\n",
      "1               Café  0.20\n",
      "2               Park  0.13\n",
      "3  Convenience Store  0.07\n",
      "4          Nightclub  0.07\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.09\n",
      "1              Gay Bar  0.05\n",
      "2  Japanese Restaurant  0.05\n",
      "3     Sushi Restaurant  0.04\n",
      "4           Restaurant  0.03\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "                venue  freq\n",
      "0         Pizza Place  0.08\n",
      "1      Sandwich Place  0.08\n",
      "2        Dessert Shop  0.08\n",
      "3                Café  0.06\n",
      "4  Italian Restaurant  0.06\n",
      "\n",
      "\n",
      "----Davisville North----\n",
      "               venue  freq\n",
      "0               Park  0.12\n",
      "1  Food & Drink Shop  0.12\n",
      "2   Asian Restaurant  0.12\n",
      "3     Clothing Store  0.12\n",
      "4                Gym  0.12\n",
      "\n",
      "\n",
      "----Dufferin, Dovercourt Village----\n",
      "                venue  freq\n",
      "0              Bakery  0.12\n",
      "1            Pharmacy  0.12\n",
      "2         Supermarket  0.12\n",
      "3  Athletics & Sports  0.06\n",
      "4             Brewery  0.06\n",
      "\n",
      "\n",
      "----Forest Hill West, Forest Hill North----\n",
      "                venue  freq\n",
      "0  Mexican Restaurant  0.25\n",
      "1               Trail  0.25\n",
      "2    Sushi Restaurant  0.25\n",
      "3       Jewelry Store  0.25\n",
      "4         Yoga Studio  0.00\n",
      "\n",
      "\n",
      "----Garden District, Ryerson----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.08\n",
      "1             Clothing Store  0.08\n",
      "2                       Café  0.03\n",
      "3             Cosmetics Shop  0.03\n",
      "4  Middle Eastern Restaurant  0.03\n",
      "\n",
      "\n",
      "----India Bazaar, The Beaches West----\n",
      "           venue  freq\n",
      "0           Park  0.10\n",
      "1    Pizza Place  0.10\n",
      "2        Brewery  0.05\n",
      "3     Steakhouse  0.05\n",
      "4  Movie Theater  0.05\n",
      "\n",
      "\n",
      "----Kensington Market, Grange Park, Chinatown----\n",
      "                           venue  freq\n",
      "0                           Café  0.07\n",
      "1  Vegetarian / Vegan Restaurant  0.06\n",
      "2                            Bar  0.05\n",
      "3             Mexican Restaurant  0.04\n",
      "4          Vietnamese Restaurant  0.04\n",
      "\n",
      "\n",
      "----Lawrence Park----\n",
      "         venue  freq\n",
      "0         Park  0.33\n",
      "1  Swim School  0.33\n",
      "2     Bus Line  0.33\n",
      "3  Yoga Studio  0.00\n",
      "4  Music Venue  0.00\n",
      "\n",
      "\n",
      "----North Toronto West----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.11\n",
      "1  Sporting Goods Shop  0.11\n",
      "2       Clothing Store  0.11\n",
      "3          Yoga Studio  0.05\n",
      "4                  Spa  0.05\n",
      "\n",
      "\n",
      "----Parkdale Village, Exhibition Place, Brockton----\n",
      "            venue  freq\n",
      "0  Breakfast Spot  0.09\n",
      "1            Café  0.09\n",
      "2     Coffee Shop  0.09\n",
      "3     Yoga Studio  0.04\n",
      "4      Restaurant  0.04\n",
      "\n",
      "\n",
      "----Regent Park, Harbourfront----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.18\n",
      "1         Park  0.06\n",
      "2         Café  0.06\n",
      "3       Bakery  0.06\n",
      "4          Pub  0.06\n",
      "\n",
      "\n",
      "----Richmond, King, Adelaide----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.08\n",
      "1                 Café  0.05\n",
      "2           Steakhouse  0.04\n",
      "3                  Bar  0.04\n",
      "4  American Restaurant  0.03\n",
      "\n",
      "\n",
      "----Riverdale, The Danforth West----\n",
      "                venue  freq\n",
      "0    Greek Restaurant  0.20\n",
      "1         Coffee Shop  0.09\n",
      "2  Italian Restaurant  0.07\n",
      "3      Ice Cream Shop  0.05\n",
      "4           Bookstore  0.05\n",
      "\n",
      "\n",
      "----Roncesvalles, Parkdale----\n",
      "            venue  freq\n",
      "0  Breakfast Spot  0.13\n",
      "1       Gift Shop  0.13\n",
      "2       Bookstore  0.07\n",
      "3     Coffee Shop  0.07\n",
      "4             Bar  0.07\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "         venue  freq\n",
      "0         Park   0.4\n",
      "1   Playground   0.2\n",
      "2        Trail   0.2\n",
      "3     Building   0.2\n",
      "4  Music Venue   0.0\n",
      "\n",
      "\n",
      "----Roselawn----\n",
      "                      venue  freq\n",
      "0                    Garden  0.33\n",
      "1            Ice Cream Shop  0.33\n",
      "2               Music Venue  0.33\n",
      "3               Yoga Studio  0.00\n",
      "4  Mediterranean Restaurant  0.00\n",
      "\n",
      "\n",
      "----South Niagara, Railway Lands, King and Spadina, Harbourfront West, Island airport, Bathurst Quay, CN Tower----\n",
      "              venue  freq\n",
      "0   Airport Service  0.18\n",
      "1    Airport Lounge  0.12\n",
      "2  Airport Terminal  0.12\n",
      "3       Coffee Shop  0.06\n",
      "4             Plane  0.06\n",
      "\n",
      "\n",
      "----St. James Town----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.07\n",
      "1                Café  0.06\n",
      "2          Restaurant  0.05\n",
      "3               Hotel  0.05\n",
      "4  Italian Restaurant  0.04\n",
      "\n",
      "\n",
      "----St. James Town, Cabbagetown----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.07\n",
      "1          Pub  0.04\n",
      "2       Bakery  0.04\n",
      "3       Market  0.04\n",
      "4         Park  0.04\n",
      "\n",
      "\n",
      "----Stn A PO Boxes 25 The Esplanade----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1                Café  0.04\n",
      "2          Restaurant  0.04\n",
      "3  Italian Restaurant  0.04\n",
      "4        Cocktail Bar  0.03\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "                 venue  freq\n",
      "0                 Café  0.11\n",
      "1          Coffee Shop  0.08\n",
      "2   Italian Restaurant  0.05\n",
      "3               Bakery  0.05\n",
      "4  American Restaurant  0.05\n",
      "\n",
      "\n",
      "----Summerhill East, Moore Park----\n",
      "                     venue  freq\n",
      "0               Playground  0.33\n",
      "1                     Park  0.33\n",
      "2             Tennis Court  0.33\n",
      "3  New American Restaurant  0.00\n",
      "4        Martial Arts Dojo  0.00\n",
      "\n",
      "\n",
      "----Summerhill West, South Hill, Rathnelly, Forest Hill SE, Deer Park----\n",
      "              venue  freq\n",
      "0               Pub  0.13\n",
      "1       Coffee Shop  0.13\n",
      "2  Sushi Restaurant  0.07\n",
      "3        Bagel Shop  0.07\n",
      "4        Restaurant  0.07\n",
      "\n",
      "\n",
      "----Swansea, Runnymede----\n",
      "                venue  freq\n",
      "0                Café  0.09\n",
      "1         Pizza Place  0.09\n",
      "2         Coffee Shop  0.09\n",
      "3  Italian Restaurant  0.06\n",
      "4    Sushi Restaurant  0.06\n",
      "\n",
      "\n",
      "----The Beaches----\n",
      "                     venue  freq\n",
      "0        Health Food Store   0.2\n",
      "1              Coffee Shop   0.2\n",
      "2                    Trail   0.2\n",
      "3                      Pub   0.2\n",
      "4  New American Restaurant   0.0\n",
      "\n",
      "\n",
      "----The Junction South, High Park----\n",
      "                 venue  freq\n",
      "0   Mexican Restaurant  0.09\n",
      "1                 Café  0.09\n",
      "2        Grocery Store  0.05\n",
      "3            Speakeasy  0.05\n",
      "4  Fried Chicken Joint  0.05\n",
      "\n",
      "\n",
      "----Toronto Dominion Centre, Design Exchange----\n",
      "           venue  freq\n",
      "0    Coffee Shop  0.12\n",
      "1           Café  0.08\n",
      "2          Hotel  0.06\n",
      "3     Restaurant  0.05\n",
      "4  Deli / Bodega  0.03\n",
      "\n",
      "\n",
      "----Trinity, Little Portugal----\n",
      "              venue  freq\n",
      "0               Bar  0.12\n",
      "1  Asian Restaurant  0.05\n",
      "2       Coffee Shop  0.05\n",
      "3          Boutique  0.03\n",
      "4        Restaurant  0.03\n",
      "\n",
      "\n",
      "----Underground city, First Canadian Place----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.10\n",
      "1         Café  0.08\n",
      "2        Hotel  0.05\n",
      "3   Steakhouse  0.04\n",
      "4   Restaurant  0.04\n",
      "\n",
      "\n",
      "----Union Station, Toronto Islands, Harbourfront East----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.13\n",
      "1     Aquarium  0.05\n",
      "2        Hotel  0.05\n",
      "3         Café  0.04\n",
      "4      Brewery  0.03\n",
      "\n",
      "\n",
      "----University of Toronto, Harbord----\n",
      "            venue  freq\n",
      "0            Café  0.15\n",
      "1          Bakery  0.06\n",
      "2       Bookstore  0.06\n",
      "3  Sandwich Place  0.06\n",
      "4      Restaurant  0.06\n",
      "\n",
      "\n",
      "----Victoria Hotel, Commerce Court----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.11\n",
      "1                Hotel  0.06\n",
      "2                 Café  0.06\n",
      "3           Restaurant  0.05\n",
      "4  American Restaurant  0.04\n",
      "\n",
      "\n",
      "----Yorkville, North Midtown, The Annex----\n",
      "            venue  freq\n",
      "0            Café  0.13\n",
      "1     Coffee Shop  0.13\n",
      "2  Sandwich Place  0.13\n",
      "3     Pizza Place  0.09\n",
      "4  Cosmetics Shop  0.04\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in toronto_grouped['Neighborhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = toronto_grouped[toronto_grouped['Neighborhood'] == hood].T.reset_index()\n",
    "    temp.columns = ['venue','freq']\n",
    "    temp = temp.iloc[1:]\n",
    "    temp['freq'] = temp['freq'].astype(float)\n",
    "    temp = temp.round({'freq': 2})\n",
    "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "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": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Garden Center</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Christie</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhood 1st Most Common Venue  \\\n",
       "0                                        Berczy Park           Coffee Shop   \n",
       "1  Business Reply Mail Processing Centre 969 Eastern    Light Rail Station   \n",
       "2                                 Central Bay Street           Coffee Shop   \n",
       "3                                           Christie         Grocery Store   \n",
       "4                               Church and Wellesley           Coffee Shop   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0          Cocktail Bar                Bakery              Beer Bar   \n",
       "1           Yoga Studio         Auto Workshop         Garden Center   \n",
       "2                  Café    Italian Restaurant        Sandwich Place   \n",
       "3                  Café                  Park            Baby Store   \n",
       "4               Gay Bar   Japanese Restaurant      Sushi Restaurant   \n",
       "\n",
       "       5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0                 Steakhouse           Cheese Shop    Seafood Restaurant   \n",
       "1                     Garden  Fast Food Restaurant        Farmers Market   \n",
       "2  Middle Eastern Restaurant          Burger Joint        Ice Cream Shop   \n",
       "3                  Nightclub    Italian Restaurant           Coffee Shop   \n",
       "4                 Restaurant           Men's Store                   Gym   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue    10th Most Common Venue  \n",
       "0                  Café    Italian Restaurant            Farmers Market  \n",
       "1            Comic Shop      Recording Studio                Restaurant  \n",
       "2           Salad Place       Bubble Tea Shop                       Bar  \n",
       "3     Convenience Store                 Diner                Restaurant  \n",
       "4  Fast Food Restaurant            Smoke Shop  Mediterranean Restaurant  "
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cluster Neighbourhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 4, 0], dtype=int32)"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.cluster import KMeans\n",
    "\n",
    "# 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": 87,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "cannot insert Cluster Labels, already exists",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-87-cfc96aef4d81>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# add clustering labels\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mneighborhoods_venues_sorted\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'Cluster Labels'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkmeans\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlabels_\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36minsert\u001b[0;34m(self, loc, column, value, allow_duplicates)\u001b[0m\n\u001b[1;32m   3574\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_ensure_valid_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3575\u001b[0m         \u001b[0mvalue\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_sanitize_column\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcolumn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbroadcast\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3576\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_data\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0minsert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcolumn\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mallow_duplicates\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mallow_duplicates\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3577\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3578\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0massign\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/usr/local/lib/python3.7/dist-packages/pandas/core/internals/managers.py\u001b[0m in \u001b[0;36minsert\u001b[0;34m(self, loc, item, value, allow_duplicates)\u001b[0m\n\u001b[1;32m   1171\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mallow_duplicates\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mitem\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mitems\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1172\u001b[0m             \u001b[0;31m# Should this be a different kind of error??\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1173\u001b[0;31m             \u001b[0;32mraise\u001b[0m \u001b[0mValueError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"cannot insert {}, already exists\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mitem\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1174\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1175\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mint\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: cannot insert Cluster Labels, already exists"
     ]
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</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>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>0</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M5E</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>43.644771</td>\n",
       "      <td>-79.373306</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode           Borough               Neighborhood   Latitude  \\\n",
       "0        M5A  Downtown Toronto  Regent Park, Harbourfront  43.654260   \n",
       "1        M5B  Downtown Toronto   Garden District, Ryerson  43.657162   \n",
       "2        M5C  Downtown Toronto             St. James Town  43.651494   \n",
       "3        M4E      East Toronto                The Beaches  43.676357   \n",
       "4        M5E  Downtown Toronto                Berczy Park  43.644771   \n",
       "\n",
       "   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0 -79.360636               0           Coffee Shop                   Pub   \n",
       "1 -79.378937               0           Coffee Shop        Clothing Store   \n",
       "2 -79.375418               0           Coffee Shop                  Café   \n",
       "3 -79.293031               0     Health Food Store           Coffee Shop   \n",
       "4 -79.373306               0           Coffee Shop          Cocktail Bar   \n",
       "\n",
       "  3rd Most Common Venue      4th Most Common Venue 5th Most Common Venue  \\\n",
       "0                Bakery                       Park                  Café   \n",
       "1                  Café  Middle Eastern Restaurant        Cosmetics Shop   \n",
       "2                 Hotel                 Restaurant    Italian Restaurant   \n",
       "3                 Trail                        Pub          Dessert Shop   \n",
       "4                Bakery                   Beer Bar            Steakhouse   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0            Restaurant    Mexican Restaurant        Breakfast Spot   \n",
       "1             Bookstore           Pizza Place  Fast Food Restaurant   \n",
       "2             Gastropub        Clothing Store              Beer Bar   \n",
       "3           Event Space  Ethiopian Restaurant     Electronics Store   \n",
       "4           Cheese Shop    Seafood Restaurant                  Café   \n",
       "\n",
       "         9th Most Common Venue 10th Most Common Venue  \n",
       "0                      Theater   Gym / Fitness Center  \n",
       "1           Italian Restaurant                  Plaza  \n",
       "2               Breakfast Spot           Cocktail Bar  \n",
       "3  Eastern European Restaurant    Dumpling Restaurant  \n",
       "4           Italian Restaurant         Farmers Market  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged = df4\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": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
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        circle_marker_5ddf59a0467a4d5496e0403fe63794e0.bindPopup(popup_7fa79ccb4e9141f1882e6ee6fefd5356)
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        circle_marker_30043acf269e4845b95ec4bf850c1cb4.bindPopup(popup_46189bc08d6e4db78448ef02b3f91be6)
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            var circle_marker_17c247e8bfa543ffb950947708b03c3d = L.circleMarker(
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        circle_marker_17c247e8bfa543ffb950947708b03c3d.bindPopup(popup_541da5851a794d80bcecc5ee331e152c)
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        circle_marker_e67a50dff5af47359505dac0fb02e7a1.bindPopup(popup_4e4862961e9d4f7ca9132c4470271021)
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        circle_marker_52c7b23c28b84aca8c1b9c388b9da568.bindPopup(popup_c6ac1aee56794e7baf6b0f622a133f4f)
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        circle_marker_e1f1f09f71e845f99d7785ac54ef2532.bindPopup(popup_fac2437fb00049eb961e52ff3f769b3a)
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            var circle_marker_7efa5f0408f5441f8449410636566fdd = L.circleMarker(
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        var popup_be8c1258b861460185c4fccfea443bd9 = L.popup({"maxWidth": "100%"});

        
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        circle_marker_7efa5f0408f5441f8449410636566fdd.bindPopup(popup_be8c1258b861460185c4fccfea443bd9)
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            var circle_marker_027bcaf41c1b439a82dce41144a2b656 = L.circleMarker(
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            popup_e4ad706fef724ddd9c2f51969bf6ca05.setContent(html_46ab75ebfb9d44a3b623536b8625c3f7);
        

        circle_marker_027bcaf41c1b439a82dce41144a2b656.bindPopup(popup_e4ad706fef724ddd9c2f51969bf6ca05)
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        var popup_1b72450eff35433a93d041031dc0e8f6 = L.popup({"maxWidth": "100%"});

        
            var html_9bca78aa9b23466389affbfeed78f566 = $(`<div id="html_9bca78aa9b23466389affbfeed78f566" style="width: 100.0%; height: 100.0%;">Summerhill West, South Hill, Rathnelly, Forest Hill SE, Deer Park Cluster 0</div>`)[0];
            popup_1b72450eff35433a93d041031dc0e8f6.setContent(html_9bca78aa9b23466389affbfeed78f566);
        

        circle_marker_ae2dc89687bd4e35863040273ffe15dd.bindPopup(popup_1b72450eff35433a93d041031dc0e8f6)
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            var circle_marker_9ad4b352f1c846da9de7a1443a33c4d9 = L.circleMarker(
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        var popup_b0d9a612f4ea464a91ad521ce7088000 = L.popup({"maxWidth": "100%"});

        
            var html_9c59f93bd024490999c5c25ced9873e2 = $(`<div id="html_9c59f93bd024490999c5c25ced9873e2" style="width: 100.0%; height: 100.0%;">South Niagara, Railway Lands, King and Spadina, Harbourfront West, Island airport, Bathurst Quay, CN Tower Cluster 0</div>`)[0];
            popup_b0d9a612f4ea464a91ad521ce7088000.setContent(html_9c59f93bd024490999c5c25ced9873e2);
        

        circle_marker_9ad4b352f1c846da9de7a1443a33c4d9.bindPopup(popup_b0d9a612f4ea464a91ad521ce7088000)
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            var circle_marker_8f768afaa4194928915045633ba12bac = L.circleMarker(
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            var html_86f41d12f5874a8fa96e5ab8d1e0f4f9 = $(`<div id="html_86f41d12f5874a8fa96e5ab8d1e0f4f9" style="width: 100.0%; height: 100.0%;">Rosedale Cluster 2</div>`)[0];
            popup_3217123083f54d2cb4eeb07cab9d1012.setContent(html_86f41d12f5874a8fa96e5ab8d1e0f4f9);
        

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            var circle_marker_94c13d40989c4fe985780a833bf93170 = L.circleMarker(
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            var html_bc8670e216204595b64caf434516a1a5 = $(`<div id="html_bc8670e216204595b64caf434516a1a5" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade Cluster 0</div>`)[0];
            popup_31649b1d65514048a633869aa7ceeebc.setContent(html_bc8670e216204595b64caf434516a1a5);
        

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            var circle_marker_1faad776e4f24a1e8a5d2bad21b0e584 = L.circleMarker(
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            popup_64a0ff09c422471bbf03eb200cd0445b.setContent(html_696874f00f3f4f4d94cf0f6a802a2f75);
        

        circle_marker_1faad776e4f24a1e8a5d2bad21b0e584.bindPopup(popup_64a0ff09c422471bbf03eb200cd0445b)
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        var popup_db382281a3c44576ad92e56a8feec4da = L.popup({"maxWidth": "100%"});

        
            var html_6d067ca8ded442858f1b1999e46682ad = $(`<div id="html_6d067ca8ded442858f1b1999e46682ad" style="width: 100.0%; height: 100.0%;">Underground city, First Canadian Place Cluster 0</div>`)[0];
            popup_db382281a3c44576ad92e56a8feec4da.setContent(html_6d067ca8ded442858f1b1999e46682ad);
        

        circle_marker_2e98c42be25a48cdbc1ac31934b3fed6.bindPopup(popup_db382281a3c44576ad92e56a8feec4da)
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            var circle_marker_d15c32b5023741f4b8ae0e9882d74de2 = L.circleMarker(
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        var popup_38ea8f32386f4f3aa48940aa858e2f9a = L.popup({"maxWidth": "100%"});

        
            var html_cad0d15ad8614b9e8cbc9751e4fc3751 = $(`<div id="html_cad0d15ad8614b9e8cbc9751e4fc3751" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 0</div>`)[0];
            popup_38ea8f32386f4f3aa48940aa858e2f9a.setContent(html_cad0d15ad8614b9e8cbc9751e4fc3751);
        

        circle_marker_d15c32b5023741f4b8ae0e9882d74de2.bindPopup(popup_38ea8f32386f4f3aa48940aa858e2f9a)
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            ).addTo(map_bea5b99b1f8942c183a95a480d587288);
        
    
        var popup_1937a1652a364884ad8873a8d0d2c289 = L.popup({"maxWidth": "100%"});

        
            var html_131f66bffefe433d98c9711be3421465 = $(`<div id="html_131f66bffefe433d98c9711be3421465" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern Cluster 0</div>`)[0];
            popup_1937a1652a364884ad8873a8d0d2c289.setContent(html_131f66bffefe433d98c9711be3421465);
        

        circle_marker_59316c1a9eaa4daaa107f1770aa5ab97.bindPopup(popup_1937a1652a364884ad8873a8d0d2c289)
        ;

        
    
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fbdd2867208>"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[43.6532, -79.3832], zoom_start=12)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighborhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Examining Clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cluster 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "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>0</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Café</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Climbing Gym</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Liquor Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Fish Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Park</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Cajun / Creole Restaurant</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Liquor Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Beer Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Food</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Airport Gate</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Art Gallery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Market</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Smoke Shop</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Garden Center</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "0   Downtown Toronto               0           Coffee Shop   \n",
       "1   Downtown Toronto               0           Coffee Shop   \n",
       "2   Downtown Toronto               0           Coffee Shop   \n",
       "3       East Toronto               0     Health Food Store   \n",
       "4   Downtown Toronto               0           Coffee Shop   \n",
       "5   Downtown Toronto               0           Coffee Shop   \n",
       "6   Downtown Toronto               0         Grocery Store   \n",
       "7   Downtown Toronto               0           Coffee Shop   \n",
       "8       West Toronto               0              Pharmacy   \n",
       "9   Downtown Toronto               0           Coffee Shop   \n",
       "10      West Toronto               0                   Bar   \n",
       "11      East Toronto               0      Greek Restaurant   \n",
       "12  Downtown Toronto               0           Coffee Shop   \n",
       "13      West Toronto               0           Coffee Shop   \n",
       "14      East Toronto               0                  Park   \n",
       "15  Downtown Toronto               0           Coffee Shop   \n",
       "16      East Toronto               0                  Café   \n",
       "19   Central Toronto               0                 Hotel   \n",
       "21      West Toronto               0                  Café   \n",
       "22   Central Toronto               0   Sporting Goods Shop   \n",
       "23   Central Toronto               0           Coffee Shop   \n",
       "24      West Toronto               0        Breakfast Spot   \n",
       "25   Central Toronto               0          Dessert Shop   \n",
       "26  Downtown Toronto               0                  Café   \n",
       "27      West Toronto               0                  Café   \n",
       "29  Downtown Toronto               0                  Café   \n",
       "30   Central Toronto               0           Coffee Shop   \n",
       "31  Downtown Toronto               0       Airport Service   \n",
       "33  Downtown Toronto               0           Coffee Shop   \n",
       "34  Downtown Toronto               0           Coffee Shop   \n",
       "35  Downtown Toronto               0           Coffee Shop   \n",
       "36  Downtown Toronto               0           Coffee Shop   \n",
       "37      East Toronto               0    Light Rail Station   \n",
       "\n",
       "            2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "0                             Pub                Bakery   \n",
       "1                  Clothing Store                  Café   \n",
       "2                            Café                 Hotel   \n",
       "3                     Coffee Shop                 Trail   \n",
       "4                    Cocktail Bar                Bakery   \n",
       "5                            Café    Italian Restaurant   \n",
       "6                            Café                  Park   \n",
       "7                            Café            Steakhouse   \n",
       "8                          Bakery           Supermarket   \n",
       "9                        Aquarium                 Hotel   \n",
       "10               Asian Restaurant           Coffee Shop   \n",
       "11                    Coffee Shop    Italian Restaurant   \n",
       "12                           Café                 Hotel   \n",
       "13                 Breakfast Spot                  Café   \n",
       "14                    Pizza Place        Ice Cream Shop   \n",
       "15                           Café                 Hotel   \n",
       "16                    Coffee Shop    Italian Restaurant   \n",
       "19                            Gym                  Park   \n",
       "21             Mexican Restaurant         Grocery Store   \n",
       "22                    Coffee Shop        Clothing Store   \n",
       "23                           Café        Sandwich Place   \n",
       "24                      Gift Shop            Restaurant   \n",
       "25                 Sandwich Place           Pizza Place   \n",
       "26                 Sandwich Place             Bookstore   \n",
       "27                    Coffee Shop           Pizza Place   \n",
       "29  Vegetarian / Vegan Restaurant                   Bar   \n",
       "30                            Pub    Light Rail Station   \n",
       "31               Airport Terminal        Airport Lounge   \n",
       "33                           Café            Restaurant   \n",
       "34             Italian Restaurant            Restaurant   \n",
       "35                           Café                 Hotel   \n",
       "36                        Gay Bar   Japanese Restaurant   \n",
       "37                    Yoga Studio         Auto Workshop   \n",
       "\n",
       "        4th Most Common Venue        5th Most Common Venue  \\\n",
       "0                        Park                         Café   \n",
       "1   Middle Eastern Restaurant               Cosmetics Shop   \n",
       "2                  Restaurant           Italian Restaurant   \n",
       "3                         Pub                 Dessert Shop   \n",
       "4                    Beer Bar                   Steakhouse   \n",
       "5              Sandwich Place    Middle Eastern Restaurant   \n",
       "6                  Baby Store                    Nightclub   \n",
       "7                         Bar              Thai Restaurant   \n",
       "8                 Pizza Place           Athletics & Sports   \n",
       "9                        Café                      Brewery   \n",
       "10                       Café                 Cocktail Bar   \n",
       "11                  Bookstore       Furniture / Home Store   \n",
       "12                 Restaurant                          Bar   \n",
       "13                Yoga Studio                      Stadium   \n",
       "14              Movie Theater                          Pub   \n",
       "15                 Restaurant          American Restaurant   \n",
       "16        American Restaurant                       Bakery   \n",
       "19           Asian Restaurant               Breakfast Spot   \n",
       "21        Fried Chicken Joint                  Music Venue   \n",
       "22                Yoga Studio           Mexican Restaurant   \n",
       "23                Pizza Place                     Pharmacy   \n",
       "24               Dessert Shop  Eastern European Restaurant   \n",
       "25                Coffee Shop                         Café   \n",
       "26                 Restaurant          Japanese Restaurant   \n",
       "27         Italian Restaurant             Sushi Restaurant   \n",
       "29        Dumpling Restaurant        Vietnamese Restaurant   \n",
       "30      Vietnamese Restaurant                 Liquor Store   \n",
       "31                      Plane                  Coffee Shop   \n",
       "33         Italian Restaurant                        Hotel   \n",
       "34                Pizza Place                Grocery Store   \n",
       "35                 Restaurant                   Steakhouse   \n",
       "36           Sushi Restaurant                   Restaurant   \n",
       "37              Garden Center                       Garden   \n",
       "\n",
       "        6th Most Common Venue      7th Most Common Venue  \\\n",
       "0                  Restaurant         Mexican Restaurant   \n",
       "1                   Bookstore                Pizza Place   \n",
       "2                   Gastropub             Clothing Store   \n",
       "3                 Event Space       Ethiopian Restaurant   \n",
       "4                 Cheese Shop         Seafood Restaurant   \n",
       "5                Burger Joint             Ice Cream Shop   \n",
       "6          Italian Restaurant                Coffee Shop   \n",
       "7                  Restaurant                      Hotel   \n",
       "8   Middle Eastern Restaurant                Music Venue   \n",
       "9         Fried Chicken Joint             Scenic Lookout   \n",
       "10                Pizza Place                Men's Store   \n",
       "11             Ice Cream Shop                    Brewery   \n",
       "12         Italian Restaurant        American Restaurant   \n",
       "13              Burrito Place                 Restaurant   \n",
       "14              Burrito Place               Burger Joint   \n",
       "15              Deli / Bodega                  Gastropub   \n",
       "16                Yoga Studio             Sandwich Place   \n",
       "19             Clothing Store             Sandwich Place   \n",
       "21                      Diner  Cajun / Creole Restaurant   \n",
       "22                      Diner               Dessert Shop   \n",
       "23          Indian Restaurant             Cosmetics Shop   \n",
       "24                        Bar                       Bank   \n",
       "25         Italian Restaurant           Sushi Restaurant   \n",
       "26                        Bar                     Bakery   \n",
       "27               Dessert Shop          Fish & Chips Shop   \n",
       "29                     Bakery         Chinese Restaurant   \n",
       "30                Supermarket           Sushi Restaurant   \n",
       "31            Harbor / Marina                        Bar   \n",
       "33                   Beer Bar         Seafood Restaurant   \n",
       "34                       Café                     Market   \n",
       "35         Seafood Restaurant                        Bar   \n",
       "36                Men's Store                        Gym   \n",
       "37       Fast Food Restaurant             Farmers Market   \n",
       "\n",
       "   8th Most Common Venue        9th Most Common Venue  \\\n",
       "0         Breakfast Spot                      Theater   \n",
       "1   Fast Food Restaurant           Italian Restaurant   \n",
       "2               Beer Bar               Breakfast Spot   \n",
       "3      Electronics Store  Eastern European Restaurant   \n",
       "4                   Café           Italian Restaurant   \n",
       "5            Salad Place              Bubble Tea Shop   \n",
       "6      Convenience Store                        Diner   \n",
       "7           Burger Joint          American Restaurant   \n",
       "8                   Park                         Café   \n",
       "9             Sports Bar                       Bakery   \n",
       "10              Boutique                   Restaurant   \n",
       "11       Bubble Tea Shop                   Restaurant   \n",
       "12                Bakery                Deli / Bodega   \n",
       "13  Caribbean Restaurant                 Climbing Gym   \n",
       "14        Sandwich Place                      Brewery   \n",
       "15    Seafood Restaurant                   Steakhouse   \n",
       "16                  Bank                          Bar   \n",
       "19     Food & Drink Shop                   Donut Shop   \n",
       "21        Discount Store                    Bookstore   \n",
       "22                  Park           Chinese Restaurant   \n",
       "23                   Pub                 Burger Joint   \n",
       "24               Dog Run           Italian Restaurant   \n",
       "25                   Gym                        Diner   \n",
       "26    Chinese Restaurant                   Beer Store   \n",
       "27                  Food                          Pub   \n",
       "29    Mexican Restaurant                  Coffee Shop   \n",
       "30           Pizza Place                   Sports Bar   \n",
       "31         Boat or Ferry             Sculpture Garden   \n",
       "33          Cocktail Bar         Fast Food Restaurant   \n",
       "34                   Pub                       Bakery   \n",
       "35             Gastropub                 Burger Joint   \n",
       "36  Fast Food Restaurant                   Smoke Shop   \n",
       "37            Comic Shop             Recording Studio   \n",
       "\n",
       "      10th Most Common Venue  \n",
       "0       Gym / Fitness Center  \n",
       "1                      Plaza  \n",
       "2               Cocktail Bar  \n",
       "3        Dumpling Restaurant  \n",
       "4             Farmers Market  \n",
       "5                        Bar  \n",
       "6                 Restaurant  \n",
       "7             Cosmetics Shop  \n",
       "8                    Brewery  \n",
       "9                Pizza Place  \n",
       "10         French Restaurant  \n",
       "11                      Café  \n",
       "12                 Gastropub  \n",
       "13                       Gym  \n",
       "14              Liquor Store  \n",
       "15                       Gym  \n",
       "16               Fish Market  \n",
       "19                   Dog Run  \n",
       "21      Fast Food Restaurant  \n",
       "22                      Café  \n",
       "23              Liquor Store  \n",
       "24             Movie Theater  \n",
       "25                Restaurant  \n",
       "26                  Beer Bar  \n",
       "27                       Bar  \n",
       "29              Burger Joint  \n",
       "30       American Restaurant  \n",
       "31              Airport Gate  \n",
       "33               Art Gallery  \n",
       "34                      Park  \n",
       "35                       Gym  \n",
       "36  Mediterranean Restaurant  \n",
       "37                Restaurant  "
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cluster 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "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>18</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "18  Central Toronto               1        Ice Cream Shop   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "18                Garden           Music Venue           Wings Joint   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "18          Dessert Shop           Event Space  Ethiopian Restaurant   \n",
       "\n",
       "   8th Most Common Venue        9th Most Common Venue 10th Most Common Venue  \n",
       "18     Electronics Store  Eastern European Restaurant    Dumpling Restaurant  "
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cluster 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Park</td>\n",
       "      <td>Tennis Court</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Building</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "28   Central Toronto               2            Playground   \n",
       "32  Downtown Toronto               2                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "28                  Park          Tennis Court           Wings Joint   \n",
       "32            Playground                 Trail              Building   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "28          Dessert Shop           Event Space  Ethiopian Restaurant   \n",
       "32           Wings Joint            Donut Shop                 Diner   \n",
       "\n",
       "   8th Most Common Venue        9th Most Common Venue 10th Most Common Venue  \n",
       "28     Electronics Store  Eastern European Restaurant    Dumpling Restaurant  \n",
       "32        Discount Store                      Dog Run       Doner Restaurant  "
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cluster 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "    <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>17</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
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      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "17  Central Toronto               3              Bus Line   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "17                  Park           Swim School           Wings Joint   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "17           Event Space  Ethiopian Restaurant     Electronics Store   \n",
       "\n",
       "          8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "17  Eastern European Restaurant   Dumpling Restaurant             Donut Shop  "
      ]
     },
     "execution_count": 97,
     "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": "markdown",
   "metadata": {},
   "source": [
    "Cluster 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
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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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Wings Joint</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "20  Central Toronto               4                 Trail   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "20    Mexican Restaurant         Jewelry Store      Sushi Restaurant   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "20           Wings Joint    Dim Sum Restaurant           Event Space   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue       10th Most Common Venue  \n",
       "20  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant  "
      ]
     },
     "execution_count": 98,
     "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]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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