Neighborhoods-Toronto.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>To explore, segment, and cluster the neighborhoods in the city of Toronto</h1>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: lxml in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (4.6.1)\n",
      "Requirement already satisfied: wikipedia in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (1.4.0)\n",
      "Requirement already satisfied: beautifulsoup4 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from wikipedia) (4.9.3)\n",
      "Requirement already satisfied: requests<3.0.0,>=2.0.0 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from wikipedia) (2.24.0)\n",
      "Requirement already satisfied: soupsieve>1.2; python_version >= \"3.0\" in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from beautifulsoup4->wikipedia) (2.0.1)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests<3.0.0,>=2.0.0->wikipedia) (2.10)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests<3.0.0,>=2.0.0->wikipedia) (2020.11.8)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests<3.0.0,>=2.0.0->wikipedia) (1.25.11)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests<3.0.0,>=2.0.0->wikipedia) (3.0.4)\n"
     ]
    }
   ],
   "source": [
    "# install packages\n",
    "!pip install lxml\n",
    "!pip install wikipedia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: bs4 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (0.0.1)\n",
      "Requirement already satisfied: beautifulsoup4 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from bs4) (4.9.3)\n",
      "Requirement already satisfied: soupsieve>1.2; python_version >= \"3.0\" in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from beautifulsoup4->bs4) (2.0.1)\n"
     ]
    }
   ],
   "source": [
    "# import libaries\n",
    "import wikipedia as wp\n",
    "import pandas as pd\n",
    "\n",
    "import requests\n",
    "import io\n",
    "\n",
    "!pip install bs4\n",
    "from bs4 import BeautifulSoup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting package metadata (current_repodata.json): done\n",
      "Solving environment: done\n",
      "\n",
      "\n",
      "==> WARNING: A newer version of conda exists. <==\n",
      "  current version: 4.9.1\n",
      "  latest version: 4.9.2\n",
      "\n",
      "Please update conda by running\n",
      "\n",
      "    $ conda update -n base -c defaults conda\n",
      "\n",
      "\n",
      "\n",
      "# All requested packages already installed.\n",
      "\n",
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np # library to handle data in a vectorized manner\n",
    "\n",
    "import pandas as pd # library for data analsysis\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "import json # library to handle JSON files\n",
    "\n",
    "!conda install -c conda-forge geopy --yes\n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "\n",
    "import requests # library to handle requests\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
    "\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "#!conda install -c conda-forge folium=0.5.0 --yes #\n",
    "import folium # map rendering library\n",
    "\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Part 1: Scrape the data from wikipedia page</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [],
   "source": [
    "html=wp.page(\"List of postal codes of Canada: M\").html().encode(\"UTF-8\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataframe will consist of three columns: PostalCode, Borough, and Neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "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>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M8A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M9A</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Islington Avenue, Humber Valley Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postalcode           Borough                                Neighbourhood\n",
       "0        M1A      Not assigned                                 Not assigned\n",
       "1        M2A      Not assigned                                 Not assigned\n",
       "2        M3A        North York                                    Parkwoods\n",
       "3        M4A        North York                             Victoria Village\n",
       "4        M5A  Downtown Toronto                    Regent Park, Harbourfront\n",
       "5        M6A        North York             Lawrence Manor, Lawrence Heights\n",
       "6        M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government\n",
       "7        M8A      Not assigned                                 Not assigned\n",
       "8        M9A         Etobicoke      Islington Avenue, Humber Valley Village\n",
       "9        M1B       Scarborough                               Malvern, Rouge"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_html(html,header =0)[0]\n",
    "df.columns=[\"Postalcode\",\"Borough\",\"Neighbourhood\"]\n",
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only process the cells that have an assigned borough. Ignore cells with a borough that is Not assigned."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "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>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postalcode           Borough                                Neighbourhood\n",
       "0        M3A        North York                                    Parkwoods\n",
       "1        M4A        North York                             Victoria Village\n",
       "2        M5A  Downtown Toronto                    Regent Park, Harbourfront\n",
       "3        M6A        North York             Lawrence Manor, Lawrence Heights\n",
       "4        M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ignore cells with a borough that is Not assigned\n",
    "\n",
    "df=df[df.Borough!='Not assigned']\n",
    "# Reset index\n",
    "df.reset_index(drop=True, inplace=True)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "More than one neighborhood can exist in one postal code area. \n",
    "These rows will be combined into one row with the neighborhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "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>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postalcode           Borough                                Neighbourhood\n",
       "0        M3A        North York                                    Parkwoods\n",
       "1        M4A        North York                             Victoria Village\n",
       "2        M5A  Downtown Toronto                    Regent Park, Harbourfront\n",
       "3        M6A        North York             Lawrence Manor, Lawrence Heights\n",
       "4        M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government"
      ]
     },
     "execution_count": 145,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# More than one neighborhood can exist in one postal code area. \n",
    "# These rows will be combined into one row with the neighborhoods\n",
    "df.loc[df['Neighbourhood']=='Not assigned', 'Neighbourhood']=df['Borough']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['North York', 'Downtown Toronto', 'Etobicoke', 'Scarborough',\n",
       "       'East York', 'York', 'East Toronto', 'West Toronto',\n",
       "       'Central Toronto', 'Mississauga'], dtype=object)"
      ]
     },
     "execution_count": 146,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check how many unique neighbourhoos exist\n",
    "df['Borough'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If a cell has a borough but a Not assigned neighborhood, then the neighborhood will be the same as the borough."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "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>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postalcode           Borough                                Neighbourhood\n",
       "0        M3A        North York                                    Parkwoods\n",
       "1        M4A        North York                             Victoria Village\n",
       "2        M5A  Downtown Toronto                    Regent Park, Harbourfront\n",
       "3        M6A        North York             Lawrence Manor, Lawrence Heights\n",
       "4        M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Not assigned neighbourhood will be assigned the same as the borough\n",
    "df.groupby(['Borough'])['Neighbourhood'].apply(', '.join)\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 148,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the size\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Part 2: In order to utilize the FourSquare location data, \n",
    "we need to get the latitue and the longitude coordinates of each neighbourhood</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: geopy in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (2.0.0)\n",
      "Requirement already satisfied: geographiclib<2,>=1.49 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geopy) (1.50)\n",
      "Requirement already satisfied: geocoder in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (1.38.1)\n",
      "Requirement already satisfied: ratelim in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geocoder) (0.1.6)\n",
      "Requirement already satisfied: six in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geocoder) (1.15.0)\n",
      "Requirement already satisfied: future in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geocoder) (0.18.2)\n",
      "Requirement already satisfied: click in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geocoder) (7.1.2)\n",
      "Requirement already satisfied: requests in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from geocoder) (2.24.0)\n",
      "Requirement already satisfied: decorator in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from ratelim->geocoder) (4.4.2)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests->geocoder) (2.10)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests->geocoder) (2020.11.8)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests->geocoder) (1.25.11)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from requests->geocoder) (3.0.4)\n"
     ]
    }
   ],
   "source": [
    "# install packages\n",
    "\n",
    "!pip install geopy\n",
    "!pip install geocoder\n",
    "\n",
    "# import libraries\n",
    "\n",
    "import geocoder\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data downloaded!\n"
     ]
    }
   ],
   "source": [
    "# Get Geospatial_Coordinateas.csv file online and download\n",
    "\n",
    "!wget -q -O 'Geospatial_Coordinates.csv' http://cocl.us/Geospatial_data#/Geospatial_Coordinates.csv\n",
    "print('Data downloaded!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "source": [
    "Now that the data is downloaded, let's read it into a _pandas_ dataframe.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "button": false,
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postalcode</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\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": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read_csv to dataframe\n",
    "latlng_df = pd.read_csv('Geospatial_Coordinates.csv')\n",
    "\n",
    "# fix the columns\n",
    "latlng_df.columns=[\"Postalcode\",\"Latitude\",\"Longitude\"]\n",
    "\n",
    "latlng_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Merge two tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "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>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "      <td>43.718518</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M9A</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Islington Avenue, Humber Valley Village</td>\n",
       "      <td>43.667856</td>\n",
       "      <td>-79.532242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M3B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Don Mills</td>\n",
       "      <td>43.745906</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M4B</td>\n",
       "      <td>East York</td>\n",
       "      <td>Parkview Hill, Woodbine Gardens</td>\n",
       "      <td>43.706397</td>\n",
       "      <td>-79.309937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>M6B</td>\n",
       "      <td>North York</td>\n",
       "      <td>Glencairn</td>\n",
       "      <td>43.709577</td>\n",
       "      <td>-79.445073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>M9B</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>West Deane Park, Princess Gardens, Martin Grov...</td>\n",
       "      <td>43.650943</td>\n",
       "      <td>-79.554724</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
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       "   Postalcode           Borough  \\\n",
       "0         M3A        North York   \n",
       "1         M4A        North York   \n",
       "2         M5A  Downtown Toronto   \n",
       "3         M6A        North York   \n",
       "4         M7A  Downtown Toronto   \n",
       "5         M9A         Etobicoke   \n",
       "6         M1B       Scarborough   \n",
       "7         M3B        North York   \n",
       "8         M4B         East York   \n",
       "9         M5B  Downtown Toronto   \n",
       "10        M6B        North York   \n",
       "11        M9B         Etobicoke   \n",
       "\n",
       "                                        Neighbourhood   Latitude  Longitude  \n",
       "0                                           Parkwoods  43.753259 -79.329656  \n",
       "1                                    Victoria Village  43.725882 -79.315572  \n",
       "2                           Regent Park, Harbourfront  43.654260 -79.360636  \n",
       "3                    Lawrence Manor, Lawrence Heights  43.718518 -79.464763  \n",
       "4         Queen's Park, Ontario Provincial Government  43.662301 -79.389494  \n",
       "5             Islington Avenue, Humber Valley Village  43.667856 -79.532242  \n",
       "6                                      Malvern, Rouge  43.806686 -79.194353  \n",
       "7                                           Don Mills  43.745906 -79.352188  \n",
       "8                     Parkview Hill, Woodbine Gardens  43.706397 -79.309937  \n",
       "9                            Garden District, Ryerson  43.657162 -79.378937  \n",
       "10                                          Glencairn  43.709577 -79.445073  \n",
       "11  West Deane Park, Princess Gardens, Martin Grov...  43.650943 -79.554724  "
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Merge df and latlng_df\n",
    "df_merge=pd.merge(df,latlng_df, on='Postalcode')\n",
    "\n",
    "# fix the columns\n",
    "neighbourhoods=df_merge[['Postalcode','Borough','Neighbourhood','Latitude','Longitude']]\n",
    "\n",
    "neighbourhoods.head(12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h2>Part 3: Explore and cluster the neighbourhoods in Toronto </h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto,ON'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"tt_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create a map of Toronto with neighborhoods superimposed on top.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fd44d9f4a90>"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of New York using latitude and longitude values\n",
    "map_Toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighbourhood in zip(neighbourhoods['Latitude'], neighbourhoods['Longitude'], neighbourhoods['Borough'], neighbourhoods['Neighbourhood']):\n",
    "    label = '{}, {}'.format(neighbourhood, 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": 155,
   "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>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "      <td>43.718518</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postalcode           Borough                                Neighbourhood  \\\n",
       "0        M3A        North York                                    Parkwoods   \n",
       "1        M4A        North York                             Victoria Village   \n",
       "2        M5A  Downtown Toronto                    Regent Park, Harbourfront   \n",
       "3        M6A        North York             Lawrence Manor, Lawrence Heights   \n",
       "4        M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.753259 -79.329656  \n",
       "1  43.725882 -79.315572  \n",
       "2  43.654260 -79.360636  \n",
       "3  43.718518 -79.464763  \n",
       "4  43.662301 -79.389494  "
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "neighbourhoods.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "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>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\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",
       "      <th>4</th>\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                                Neighbourhood  \\\n",
       "0        M5A  Downtown Toronto                    Regent Park, Harbourfront   \n",
       "1        M7A  Downtown Toronto  Queen's Park, Ontario Provincial Government   \n",
       "2        M5B  Downtown Toronto                     Garden District, Ryerson   \n",
       "3        M5C  Downtown Toronto                               St. James Town   \n",
       "4        M5E  Downtown Toronto                                  Berczy Park   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.654260 -79.360636  \n",
       "1  43.662301 -79.389494  \n",
       "2  43.657162 -79.378937  \n",
       "3  43.651494 -79.375418  \n",
       "4  43.644771 -79.373306  "
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_data = neighbourhoods[neighbourhoods['Borough'] == 'Downtown Toronto'].reset_index(drop=True)\n",
    "downtownT_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's get the geographical coordinates of Downtown Toronto.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Downtown Toronto are 43.6563221, -79.3809161.\n"
     ]
    }
   ],
   "source": [
    "address = 'Downtown Toronto, ON'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"tt_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Downtown Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's visualizat Downtown Toronto the neighborhoods in it.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fd44534d6d8>"
      ]
     },
     "execution_count": 158,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Downtown Toronto using latitude and longitude values\n",
    "map_downtownT = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, label in zip(downtownT_data['Latitude'], downtownT_data['Longitude'], downtownT_data['Neighbourhood']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='orange',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_downtownT)  \n",
    "    \n",
    "map_downtownT"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we are going to start utilizing the Foursquare API to explore the neighborhoods and segment them.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define Foursquare Credentials and Version\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "button": false,
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    },
    "new_sheet": false,
    "run_control": {
     "read_only": false
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: WELB51YA2HIE14RFYQKKXRQBVWVIXJSZBZI5AIIH4RPDBGVJ\n",
      "CLIENT_SECRET:DPOYUWLNZOHP5BPT1KY2OYQNWRMQAGUOZ0TC05S1FO2OBJZ1\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'WELB51YA2HIE14RFYQKKXRQBVWVIXJSZBZI5AIIH4RPDBGVJ' # your Foursquare Secret\n",
    "CLIENT_SECRET='DPOYUWLNZOHP5BPT1KY2OYQNWRMQAGUOZ0TC05S1FO2OBJZ1'\n",
    "VERSION = '20200605'\n",
    "LIMIT = 100\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's explore the first neighborhood in our dataframe.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the neighborhood's name.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Regent Park, Harbourfront'"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_data.loc[0, 'Neighbourhood']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the neighborhood's latitude and longitude values.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Regent Park, Harbourfront are 43.6542599, -79.3606359.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = downtownT_data.loc[0, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = downtownT_data.loc[0, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = downtownT_data.loc[0, 'Neighbourhood'] # neighborhood name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now, let's get the top 100 venues that are in Regent Part within a radius of 500 meters.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's create the GET request URL. Name your URL **url**.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?&client_id=WELB51YA2HIE14RFYQKKXRQBVWVIXJSZBZI5AIIH4RPDBGVJ&client_secret=DPOYUWLNZOHP5BPT1KY2OYQNWRMQAGUOZ0TC05S1FO2OBJZ1&v=20200605&ll=43.6542599,-79.3606359&radius=500&limit=100'"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LIMIT = 100 # limit of number of venues returned by Foursquare API\n",
    "\n",
    "radius = 500 # define radius\n",
    "\n",
    " # create URL\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(CLIENT_ID,CLIENT_SECRET,VERSION,neighborhood_latitude,neighborhood_longitude,radius,LIMIT)\n",
    "url # display URL\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Send the GET request and examine the resutls\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5fb65ad6e998a41dc4bfc069'},\n",
       " 'response': {'headerLocation': 'Corktown',\n",
       "  'headerFullLocation': 'Corktown, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 44,\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': 'Cooper Koo Family YMCA',\n",
       "       'location': {'address': '461 Cherry St',\n",
       "        'lat': 43.65324910177244,\n",
       "        'lng': -79.35800826343677,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65324910177244,\n",
       "          'lng': -79.35800826343677}],\n",
       "        'distance': 239,\n",
       "        'postalCode': 'M5A 0H7',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['461 Cherry St', 'Toronto ON M5A 0H7', 'Canada']},\n",
       "       'categories': [{'id': '52e81612bcbc57f1066b7a37',\n",
       "         'name': 'Distribution Center',\n",
       "         'pluralName': 'Distribution Centers',\n",
       "         'shortName': 'Distributor',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/building/default_',\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",
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       "         'shortName': 'Café',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/cafe_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-54d37e23498e5e29bcb35362-32'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4af9fc95f964a520ca1522e3',\n",
       "       'name': 'Mill St. Brew Pub',\n",
       "       'location': {'address': '21 Tank House Ln',\n",
       "        'crossStreet': 'at Pure Spirits Mews',\n",
       "        'lat': 43.65035331843578,\n",
       "        'lng': -79.35848936650571,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65035331843578,\n",
       "          'lng': -79.35848936650571}],\n",
       "        'distance': 467,\n",
       "        'postalCode': 'M5A 3C4',\n",
       "        'cc': 'CA',\n",
       "        'neighborhood': 'Distillery District',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['21 Tank House Ln (at Pure Spirits Mews)',\n",
       "         'Toronto ON M5A 3C4',\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-0-4af9fc95f964a520ca1522e3-33'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4af21e78f964a520fae521e3',\n",
       "       'name': 'Arta Gallery',\n",
       "       'location': {'address': '14 Distillery Lane',\n",
       "        'crossStreet': 'Distillery District',\n",
       "        'lat': 43.650022181882065,\n",
       "        'lng': -79.36122168476822,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.650022181882065,\n",
       "          'lng': -79.36122168476822}],\n",
       "        'distance': 474,\n",
       "        'postalCode': 'M5A 3C4',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['14 Distillery Lane (Distillery District)',\n",
       "         'Toronto ON M5A 3C4',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1e2931735',\n",
       "         'name': 'Art Gallery',\n",
       "         'pluralName': 'Art Galleries',\n",
       "         'shortName': 'Art Gallery',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/arts_entertainment/artgallery_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4af21e78f964a520fae521e3-34'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '5b7ccd5e1f8ed6002c9bd7d0',\n",
       "       'name': 'The Aviary',\n",
       "       'location': {'lat': 43.65363394725125,\n",
       "        'lng': -79.35466212072043,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65363394725125,\n",
       "          'lng': -79.35466212072043}],\n",
       "        'distance': 486,\n",
       "        'postalCode': 'M5A 1H7',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Toronto ON M5A 1H7', '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-0-5b7ccd5e1f8ed6002c9bd7d0-35'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4ad8d551f964a5201f1521e3',\n",
       "       'name': 'Vistek',\n",
       "       'location': {'address': '496 Queen St E',\n",
       "        'crossStreet': 'at Sumach',\n",
       "        'lat': 43.65704640025721,\n",
       "        'lng': -79.35966695607046,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65704640025721,\n",
       "          'lng': -79.35966695607046}],\n",
       "        'distance': 319,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['496 Queen St E (at Sumach)',\n",
       "         'Toronto ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d122951735',\n",
       "         'name': 'Electronics Store',\n",
       "         'pluralName': 'Electronics Stores',\n",
       "         'shortName': 'Electronics',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/technology_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4ad8d551f964a5201f1521e3-36'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
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       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4dbb2d7a6e815ab0de64d555',\n",
       "       'name': 'Ontario Spring Water Sake Company',\n",
       "       'location': {'address': '51 Gristmill Lane',\n",
       "        'lat': 43.649921646081026,\n",
       "        'lng': -79.36007302731126,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.649921646081026,\n",
       "          'lng': -79.36007302731126}],\n",
       "        'distance': 485,\n",
       "        'postalCode': 'M5A 3C4',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['51 Gristmill Lane',\n",
       "         '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-0-4dbb2d7a6e815ab0de64d555-37'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      '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",
       "          'lat': 43.652779762702764,\n",
       "          'lng': -79.3563362625656}],\n",
       "        'distance': 383,\n",
       "        'postalCode': 'M5A 0J2',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['457 Front Street East',\n",
       "         'Toronto ON M5A 0J2',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d10a951735',\n",
       "         'name': 'Bank',\n",
       "         'pluralName': 'Banks',\n",
       "         'shortName': 'Bank',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/financial_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4d126fd3d1848cfad5cfbb71-38'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4b8acdfdf964a520378232e3',\n",
       "       'name': 'The Beer Store',\n",
       "       'location': {'address': '28 River Street',\n",
       "        'crossStreet': 'Queen St E',\n",
       "        'lat': 43.657773,\n",
       "        'lng': -79.3574632,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.657773,\n",
       "          'lng': -79.3574632}],\n",
       "        'distance': 467,\n",
       "        'postalCode': 'M5A 3N9',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['28 River Street (Queen St E)',\n",
       "         'Toronto ON M5A 3N9',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '5370f356bcbc57f1066c94c2',\n",
       "         'name': 'Beer Store',\n",
       "         'pluralName': 'Beer Stores',\n",
       "         'shortName': 'Beer Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/nightlife/beergarden_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b8acdfdf964a520378232e3-39'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      '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",
       "          'lat': 43.656820970004496,\n",
       "          'lng': -79.3589698353747}],\n",
       "        '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",
       "         '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-0-4b2cf78cf964a52077cb24e3-40'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '593b5fbea35dce738ebbb4ec',\n",
       "       'name': 'Residence & Conference Centre',\n",
       "       'location': {'address': '80 Cooperage',\n",
       "        'crossStreet': 'Front Street',\n",
       "        'lat': 43.65304,\n",
       "        'lng': -79.35704,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.65304,\n",
       "          'lng': -79.35704}],\n",
       "        'distance': 319,\n",
       "        'postalCode': 'M5A 1G9',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['80 Cooperage (Front Street)',\n",
       "         'Toronto ON M5A 1G9',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1fa931735',\n",
       "         'name': 'Hotel',\n",
       "         'pluralName': 'Hotels',\n",
       "         'shortName': 'Hotel',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/hotel_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-593b5fbea35dce738ebbb4ec-41'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      '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",
       "          'lng': -79.355867}],\n",
       "        'distance': 402,\n",
       "        'postalCode': 'M5A',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['469 Front St (Rolling Mills Rd)',\n",
       "         'Toronto ON M5A',\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-0-57dd8bcd498e8eec19b9c896-42'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '579cc5f2498e0fe8397deebb',\n",
       "       'name': 'GW General',\n",
       "       'location': {'lat': 43.650495,\n",
       "        'lng': -79.357538,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.650495,\n",
       "          'lng': -79.357538}],\n",
       "        'distance': 487,\n",
       "        'cc': 'CA',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Canada']},\n",
       "       '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",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-579cc5f2498e0fe8397deebb-43'}]}]}}"
      ]
     },
     "execution_count": 163,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We know that all the information is in the _items_ key. Before we proceed, let's get the **get_category_type** function from the Foursquare lab.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we are ready to clean the json and structure it into a _pandas_ dataframe.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.6/site-packages/ipykernel_launcher.py:3: FutureWarning: pandas.io.json.json_normalize is deprecated, use pandas.json_normalize instead\n",
      "  This is separate from the ipykernel package so we can avoid doing imports until\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Roselle Desserts</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>43.653447</td>\n",
       "      <td>-79.362017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Tandem Coffee</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>43.653559</td>\n",
       "      <td>-79.361809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cooper Koo Family YMCA</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>43.653249</td>\n",
       "      <td>-79.358008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Body Blitz Spa East</td>\n",
       "      <td>Spa</td>\n",
       "      <td>43.654735</td>\n",
       "      <td>-79.359874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Impact Kitchen</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>43.656369</td>\n",
       "      <td>-79.356980</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     name           categories        lat        lng\n",
       "0        Roselle Desserts               Bakery  43.653447 -79.362017\n",
       "1           Tandem Coffee          Coffee Shop  43.653559 -79.361809\n",
       "2  Cooper Koo Family YMCA  Distribution Center  43.653249 -79.358008\n",
       "3     Body Blitz Spa East                  Spa  43.654735 -79.359874\n",
       "4          Impact Kitchen           Restaurant  43.656369 -79.356980"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues = results['response']['groups'][0]['items']\n",
    "    \n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And how many venues were returned by Foursquare?\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "44 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Explore Neighborhoods in Downtown Toronto\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "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(CLIENT_ID,CLIENT_SECRET,VERSION,lat,lng,radius,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 = ['Neighbourhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now write the code to run the above function on each neighborhood and create a new dataframe called _downtownT_venues_.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Regent Park, Harbourfront\n",
      "Queen's Park, Ontario Provincial Government\n",
      "Garden District, Ryerson\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Christie\n",
      "Richmond, Adelaide, King\n",
      "Harbourfront East, Union Station, Toronto Islands\n",
      "Toronto Dominion Centre, Design Exchange\n",
      "Commerce Court, Victoria Hotel\n",
      "University of Toronto, Harbord\n",
      "Kensington Market, Chinatown, Grange Park\n",
      "CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\n",
      "Rosedale\n",
      "Stn A PO Boxes\n",
      "St. James Town, Cabbagetown\n",
      "First Canadian Place, Underground city\n",
      "Church and Wellesley\n"
     ]
    }
   ],
   "source": [
    "\n",
    "downtownT_venues = getNearbyVenues(names=downtownT_data['Neighbourhood'],\n",
    "                                   latitudes=downtownT_data['Latitude'],\n",
    "                                   longitudes=downtownT_data['Longitude']\n",
    "                                  )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1248, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>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",
       "      <th>1</th>\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",
       "      <th>2</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Cooper Koo Family YMCA</td>\n",
       "      <td>43.653249</td>\n",
       "      <td>-79.358008</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\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",
       "      <th>4</th>\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": [
       "               Neighbourhood  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  Venue Longitude  \\\n",
       "0        Roselle Desserts       43.653447       -79.362017   \n",
       "1           Tandem Coffee       43.653559       -79.361809   \n",
       "2  Cooper Koo Family YMCA       43.653249       -79.358008   \n",
       "3     Body Blitz Spa East       43.654735       -79.359874   \n",
       "4          Impact Kitchen       43.656369       -79.356980   \n",
       "\n",
       "        Venue Category  \n",
       "0               Bakery  \n",
       "1          Coffee Shop  \n",
       "2  Distribution Center  \n",
       "3                  Spa  \n",
       "4           Restaurant  "
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(downtownT_venues.shape)\n",
    "downtownT_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check how many venues were returned for each neighborhood\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "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>Neighbourhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Berczy Park</th>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bay Street</th>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christie</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Church and Wellesley</th>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Commerce Court, Victoria Hotel</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>First Canadian Place, Underground city</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garden District, Ryerson</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbourfront East, Union Station, Toronto Islands</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kensington Market, Chinatown, Grange Park</th>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Queen's Park, Ontario Provincial Government</th>\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",
       "      <th>Regent Park, Harbourfront</th>\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",
       "      <th>Richmond, Adelaide, King</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosedale</th>\n",
       "      <td>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",
       "      <th>St. James Town</th>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. James Town, Cabbagetown</th>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stn A PO Boxes</th>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toronto Dominion Centre, Design Exchange</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University of Toronto, Harbord</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighbourhood                                                               \n",
       "Berczy Park                                                            55   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...                     16   \n",
       "Central Bay Street                                                     68   \n",
       "Christie                                                               16   \n",
       "Church and Wellesley                                                   75   \n",
       "Commerce Court, Victoria Hotel                                        100   \n",
       "First Canadian Place, Underground city                                100   \n",
       "Garden District, Ryerson                                              100   \n",
       "Harbourfront East, Union Station, Toronto Islands                     100   \n",
       "Kensington Market, Chinatown, Grange Park                              74   \n",
       "Queen's Park, Ontario Provincial Government                            33   \n",
       "Regent Park, Harbourfront                                              44   \n",
       "Richmond, Adelaide, King                                              100   \n",
       "Rosedale                                                                4   \n",
       "St. James Town                                                         85   \n",
       "St. James Town, Cabbagetown                                            48   \n",
       "Stn A PO Boxes                                                         96   \n",
       "Toronto Dominion Centre, Design Exchange                              100   \n",
       "University of Toronto, Harbord                                         34   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighbourhood                                                                \n",
       "Berczy Park                                                             55   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...                      16   \n",
       "Central Bay Street                                                      68   \n",
       "Christie                                                                16   \n",
       "Church and Wellesley                                                    75   \n",
       "Commerce Court, Victoria Hotel                                         100   \n",
       "First Canadian Place, Underground city                                 100   \n",
       "Garden District, Ryerson                                               100   \n",
       "Harbourfront East, Union Station, Toronto Islands                      100   \n",
       "Kensington Market, Chinatown, Grange Park                               74   \n",
       "Queen's Park, Ontario Provincial Government                             33   \n",
       "Regent Park, Harbourfront                                               44   \n",
       "Richmond, Adelaide, King                                               100   \n",
       "Rosedale                                                                 4   \n",
       "St. James Town                                                          85   \n",
       "St. James Town, Cabbagetown                                             48   \n",
       "Stn A PO Boxes                                                          96   \n",
       "Toronto Dominion Centre, Design Exchange                               100   \n",
       "University of Toronto, Harbord                                          34   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighbourhood                                                               \n",
       "Berczy Park                                            55              55   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...     16              16   \n",
       "Central Bay Street                                     68              68   \n",
       "Christie                                               16              16   \n",
       "Church and Wellesley                                   75              75   \n",
       "Commerce Court, Victoria Hotel                        100             100   \n",
       "First Canadian Place, Underground city                100             100   \n",
       "Garden District, Ryerson                              100             100   \n",
       "Harbourfront East, Union Station, Toronto Islands     100             100   \n",
       "Kensington Market, Chinatown, Grange Park              74              74   \n",
       "Queen's Park, Ontario Provincial Government            33              33   \n",
       "Regent Park, Harbourfront                              44              44   \n",
       "Richmond, Adelaide, King                              100             100   \n",
       "Rosedale                                                4               4   \n",
       "St. James Town                                         85              85   \n",
       "St. James Town, Cabbagetown                            48              48   \n",
       "Stn A PO Boxes                                         96              96   \n",
       "Toronto Dominion Centre, Design Exchange              100             100   \n",
       "University of Toronto, Harbord                         34              34   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighbourhood                                                         \n",
       "Berczy Park                                                      55   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...               16   \n",
       "Central Bay Street                                               68   \n",
       "Christie                                                         16   \n",
       "Church and Wellesley                                             75   \n",
       "Commerce Court, Victoria Hotel                                  100   \n",
       "First Canadian Place, Underground city                          100   \n",
       "Garden District, Ryerson                                        100   \n",
       "Harbourfront East, Union Station, Toronto Islands               100   \n",
       "Kensington Market, Chinatown, Grange Park                        74   \n",
       "Queen's Park, Ontario Provincial Government                      33   \n",
       "Regent Park, Harbourfront                                        44   \n",
       "Richmond, Adelaide, King                                        100   \n",
       "Rosedale                                                          4   \n",
       "St. James Town                                                   85   \n",
       "St. James Town, Cabbagetown                                      48   \n",
       "Stn A PO Boxes                                                   96   \n",
       "Toronto Dominion Centre, Design Exchange                        100   \n",
       "University of Toronto, Harbord                                   34   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighbourhood                                                       \n",
       "Berczy Park                                                     55  \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...              16  \n",
       "Central Bay Street                                              68  \n",
       "Christie                                                        16  \n",
       "Church and Wellesley                                            75  \n",
       "Commerce Court, Victoria Hotel                                 100  \n",
       "First Canadian Place, Underground city                         100  \n",
       "Garden District, Ryerson                                       100  \n",
       "Harbourfront East, Union Station, Toronto Islands              100  \n",
       "Kensington Market, Chinatown, Grange Park                       74  \n",
       "Queen's Park, Ontario Provincial Government                     33  \n",
       "Regent Park, Harbourfront                                       44  \n",
       "Richmond, Adelaide, King                                       100  \n",
       "Rosedale                                                         4  \n",
       "St. James Town                                                  85  \n",
       "St. James Town, Cabbagetown                                     48  \n",
       "Stn A PO Boxes                                                  96  \n",
       "Toronto Dominion Centre, Design Exchange                       100  \n",
       "University of Toronto, Harbord                                  34  "
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_venues.groupby('Neighbourhood').count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's find out how many unique categories can be curated from all the returned venues\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 212 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(downtownT_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyze Each Neighborhood\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "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>Neighbourhood</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>Aquarium</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Art Museum</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Baby Store</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Baseball Stadium</th>\n",
       "      <th>Basketball Stadium</th>\n",
       "      <th>Beach</th>\n",
       "      <th>Bed &amp; Breakfast</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Belgian Restaurant</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Boat or Ferry</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Brazilian Restaurant</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Brewery</th>\n",
       "      <th>Bubble Tea Shop</th>\n",
       "      <th>Building</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Burrito Place</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Café</th>\n",
       "      <th>Camera Store</th>\n",
       "      <th>Candy Store</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Cheese Shop</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Chocolate Shop</th>\n",
       "      <th>Church</th>\n",
       "      <th>Clothing Store</th>\n",
       "      <th>Cocktail Bar</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Arts Building</th>\n",
       "      <th>College Auditorium</th>\n",
       "      <th>College Cafeteria</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>College Rec Center</th>\n",
       "      <th>Colombian Restaurant</th>\n",
       "      <th>Comfort Food Restaurant</th>\n",
       "      <th>Comic Shop</th>\n",
       "      <th>Concert Hall</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cupcake Shop</th>\n",
       "      <th>Dance Studio</th>\n",
       "      <th>Deli / Bodega</th>\n",
       "      <th>Department Store</th>\n",
       "      <th>Dessert Shop</th>\n",
       "      <th>Dim Sum Restaurant</th>\n",
       "      <th>Diner</th>\n",
       "      <th>Discount Store</th>\n",
       "      <th>Distribution Center</th>\n",
       "      <th>Dog Run</th>\n",
       "      <th>Doner Restaurant</th>\n",
       "      <th>Donut Shop</th>\n",
       "      <th>Dumpling Restaurant</th>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Escape Room</th>\n",
       "      <th>Ethiopian Restaurant</th>\n",
       "      <th>Event Space</th>\n",
       "      <th>Falafel Restaurant</th>\n",
       "      <th>Farmers Market</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Filipino Restaurant</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Food &amp; Drink Shop</th>\n",
       "      <th>Food Court</th>\n",
       "      <th>Food Truck</th>\n",
       "      <th>Fountain</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Fried Chicken Joint</th>\n",
       "      <th>Furniture / Home Store</th>\n",
       "      <th>Gaming Cafe</th>\n",
       "      <th>Gastropub</th>\n",
       "      <th>Gay Bar</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>General Travel</th>\n",
       "      <th>German Restaurant</th>\n",
       "      <th>Gift Shop</th>\n",
       "      <th>Gluten-free Restaurant</th>\n",
       "      <th>Gourmet Shop</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Grocery Store</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Harbor / Marina</th>\n",
       "      <th>Health &amp; Beauty Service</th>\n",
       "      <th>Historic Site</th>\n",
       "      <th>History Museum</th>\n",
       "      <th>Hobby Shop</th>\n",
       "      <th>Hookah Bar</th>\n",
       "      <th>Hospital</th>\n",
       "      <th>Hostel</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>Hotel Bar</th>\n",
       "      <th>IT Services</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Indie Movie Theater</th>\n",
       "      <th>Irish Pub</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Japanese Restaurant</th>\n",
       "      <th>Jazz Club</th>\n",
       "      <th>Jewelry Store</th>\n",
       "      <th>Juice Bar</th>\n",
       "      <th>Kitchen Supply Store</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Lake</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Lingerie Store</th>\n",
       "      <th>Liquor Store</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Market</th>\n",
       "      <th>Martial Arts School</th>\n",
       "      <th>Massage Studio</th>\n",
       "      <th>Mediterranean Restaurant</th>\n",
       "      <th>Men's Store</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Miscellaneous Shop</th>\n",
       "      <th>Modern European Restaurant</th>\n",
       "      <th>Molecular Gastronomy Restaurant</th>\n",
       "      <th>Monument / Landmark</th>\n",
       "      <th>Moroccan Restaurant</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Venue</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>Opera House</th>\n",
       "      <th>Optical Shop</th>\n",
       "      <th>Organic Grocery</th>\n",
       "      <th>Other Great Outdoors</th>\n",
       "      <th>Park</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Plane</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Portuguese Restaurant</th>\n",
       "      <th>Poutine Place</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Record Shop</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Roof Deck</th>\n",
       "      <th>Sake Bar</th>\n",
       "      <th>Salad Place</th>\n",
       "      <th>Salon / Barbershop</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Scenic Lookout</th>\n",
       "      <th>Sculpture Garden</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Shoe Store</th>\n",
       "      <th>Shopping Mall</th>\n",
       "      <th>Skating Rink</th>\n",
       "      <th>Smoke Shop</th>\n",
       "      <th>Smoothie Shop</th>\n",
       "      <th>Snack Place</th>\n",
       "      <th>Soup Place</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Strip Club</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Taco Place</th>\n",
       "      <th>Tailor Shop</th>\n",
       "      <th>Taiwanese Restaurant</th>\n",
       "      <th>Tanning Salon</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Thai Restaurant</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>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "    </tr>\n",
       "    <tr>\n",
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       "      <td>Regent Park, Harbourfront</td>\n",
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       "      <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>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>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>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>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>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>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>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>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>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>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>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>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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Regent Park, Harbourfront</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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Regent Park, Harbourfront</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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Regent Park, Harbourfront</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",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Neighbourhood  Afghan Restaurant  Airport  Airport Food Court  \\\n",
       "0  Regent Park, Harbourfront                  0        0                   0   \n",
       "1  Regent Park, Harbourfront                  0        0                   0   \n",
       "2  Regent Park, Harbourfront                  0        0                   0   \n",
       "3  Regent Park, Harbourfront                  0        0                   0   \n",
       "4  Regent Park, Harbourfront                  0        0                   0   \n",
       "\n",
       "   Airport Gate  Airport Lounge  Airport Service  Airport Terminal  \\\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",
       "   American Restaurant  Antique Shop  Aquarium  Art Gallery  Art Museum  \\\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",
       "   Arts & Crafts Store  Asian Restaurant  Athletics & Sports  BBQ Joint  \\\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",
       "   Baby Store  Bagel Shop  Bakery  Bank  Bar  Baseball Stadium  \\\n",
       "0           0           0       1     0    0                 0   \n",
       "1           0           0       0     0    0                 0   \n",
       "2           0           0       0     0    0                 0   \n",
       "3           0           0       0     0    0                 0   \n",
       "4           0           0       0     0    0                 0   \n",
       "\n",
       "   Basketball Stadium  Beach  Bed & Breakfast  Beer Bar  Beer Store  \\\n",
       "0                   0      0                0         0           0   \n",
       "1                   0      0                0         0           0   \n",
       "2                   0      0                0         0           0   \n",
       "3                   0      0                0         0           0   \n",
       "4                   0      0                0         0           0   \n",
       "\n",
       "   Belgian Restaurant  Bistro  Boat or Ferry  Bookstore  Boutique  \\\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",
       "   Brazilian Restaurant  Breakfast Spot  Brewery  Bubble Tea Shop  Building  \\\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",
       "   Burger Joint  Burrito Place  Butcher  Café  Camera Store  Candy Store  \\\n",
       "0             0              0        0     0             0            0   \n",
       "1             0              0        0     0             0            0   \n",
       "2             0              0        0     0             0            0   \n",
       "3             0              0        0     0             0            0   \n",
       "4             0              0        0     0             0            0   \n",
       "\n",
       "   Caribbean Restaurant  Cheese Shop  Chinese Restaurant  Chocolate Shop  \\\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",
       "   Church  Clothing Store  Cocktail Bar  Coffee Shop  College Arts Building  \\\n",
       "0       0               0             0            0                      0   \n",
       "1       0               0             0            1                      0   \n",
       "2       0               0             0            0                      0   \n",
       "3       0               0             0            0                      0   \n",
       "4       0               0             0            0                      0   \n",
       "\n",
       "   College Auditorium  College Cafeteria  College Gym  College Rec Center  \\\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",
       "   Colombian Restaurant  Comfort Food Restaurant  Comic Shop  Concert Hall  \\\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",
       "   Cosmetics Shop  Creperie  Cupcake Shop  Dance Studio  Deli / Bodega  \\\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",
       "   Department Store  Dessert Shop  Dim Sum Restaurant  Diner  Discount Store  \\\n",
       "0                 0             0                   0      0               0   \n",
       "1                 0             0                   0      0               0   \n",
       "2                 0             0                   0      0               0   \n",
       "3                 0             0                   0      0               0   \n",
       "4                 0             0                   0      0               0   \n",
       "\n",
       "   Distribution Center  Dog Run  Doner Restaurant  Donut Shop  \\\n",
       "0                    0        0                 0           0   \n",
       "1                    0        0                 0           0   \n",
       "2                    1        0                 0           0   \n",
       "3                    0        0                 0           0   \n",
       "4                    0        0                 0           0   \n",
       "\n",
       "   Dumpling Restaurant  Eastern European Restaurant  Electronics 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",
       "   Escape Room  Ethiopian Restaurant  Event Space  Falafel 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",
       "   Farmers Market  Fast Food Restaurant  Filipino Restaurant  Fish Market  \\\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",
       "   Food & Drink Shop  Food Court  Food Truck  Fountain  French Restaurant  \\\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",
       "   Fried Chicken Joint  Furniture / Home Store  Gaming Cafe  Gastropub  \\\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",
       "   Gay Bar  General Entertainment  General Travel  German 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",
       "   Gift Shop  Gluten-free Restaurant  Gourmet Shop  Greek 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",
       "   Grocery Store  Gym  Gym / Fitness Center  Harbor / Marina  \\\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",
       "   Health & Beauty Service  Historic Site  History Museum  Hobby Shop  \\\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",
       "   Hookah Bar  Hospital  Hostel  Hotel  Hotel Bar  IT Services  \\\n",
       "0           0         0       0      0          0            0   \n",
       "1           0         0       0      0          0            0   \n",
       "2           0         0       0      0          0            0   \n",
       "3           0         0       0      0          0            0   \n",
       "4           0         0       0      0          0            0   \n",
       "\n",
       "   Ice Cream Shop  Indian Restaurant  Indie Movie Theater  Irish Pub  \\\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",
       "   Italian Restaurant  Japanese Restaurant  Jazz Club  Jewelry Store  \\\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",
       "   Juice Bar  Kitchen Supply Store  Korean Restaurant  Lake  \\\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",
       "   Latin American Restaurant  Lingerie Store  Liquor Store  Lounge  Market  \\\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",
       "   Martial Arts School  Massage Studio  Mediterranean Restaurant  Men's Store  \\\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",
       "   Mexican Restaurant  Middle Eastern Restaurant  Miscellaneous Shop  \\\n",
       "0                   0                          0                   0   \n",
       "1                   0                          0                   0   \n",
       "2                   0                          0                   0   \n",
       "3                   0                          0                   0   \n",
       "4                   0                          0                   0   \n",
       "\n",
       "   Modern European Restaurant  Molecular Gastronomy Restaurant  \\\n",
       "0                           0                                0   \n",
       "1                           0                                0   \n",
       "2                           0                                0   \n",
       "3                           0                                0   \n",
       "4                           0                                0   \n",
       "\n",
       "   Monument / Landmark  Moroccan Restaurant  Movie Theater  Museum  \\\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",
       "   Music Venue  Neighborhood  New American Restaurant  Nightclub  \\\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",
       "   Noodle House  Office  Opera House  Optical Shop  Organic Grocery  \\\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",
       "   Other Great Outdoors  Park  Performing Arts Venue  Pet Store  Pharmacy  \\\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",
       "   Pizza Place  Plane  Playground  Plaza  Poke Place  Portuguese Restaurant  \\\n",
       "0            0      0           0      0           0                      0   \n",
       "1            0      0           0      0           0                      0   \n",
       "2            0      0           0      0           0                      0   \n",
       "3            0      0           0      0           0                      0   \n",
       "4            0      0           0      0           0                      0   \n",
       "\n",
       "   Poutine Place  Pub  Ramen Restaurant  Record Shop  Rental Car Location  \\\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",
       "   Restaurant  Roof Deck  Sake Bar  Salad Place  Salon / Barbershop  \\\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           1          0         0            0                   0   \n",
       "\n",
       "   Sandwich Place  Scenic Lookout  Sculpture Garden  Seafood 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",
       "   Shoe Store  Shopping Mall  Skating Rink  Smoke Shop  Smoothie Shop  \\\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",
       "   Snack Place  Soup Place  Spa  Speakeasy  Sporting Goods Shop  Sports Bar  \\\n",
       "0            0           0    0          0                    0           0   \n",
       "1            0           0    0          0                    0           0   \n",
       "2            0           0    0          0                    0           0   \n",
       "3            0           0    1          0                    0           0   \n",
       "4            0           0    0          0                    0           0   \n",
       "\n",
       "   Steakhouse  Strip Club  Supermarket  Sushi Restaurant  Taco Place  \\\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",
       "   Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tea Room  \\\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",
       "   Thai Restaurant  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  Women's Store  Yoga Studio  \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  "
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "downtownT_onehot = pd.get_dummies(downtownT_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "downtownT_onehot['Neighbourhood'] = downtownT_venues['Neighbourhood'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [downtownT_onehot.columns[-1]] + list(downtownT_onehot.columns[:-1])\n",
    "downtownT_onehot = downtownT_onehot[fixed_columns]\n",
    "\n",
    "downtownT_onehot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And let's examine the new dataframe size.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1248, 213)"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_onehot.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Next, let's group rows by neighborhood and by taking the mean of the frequency of occurrence of each category\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "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>Neighbourhood</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>Aquarium</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Art Museum</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Baby Store</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Baseball Stadium</th>\n",
       "      <th>Basketball Stadium</th>\n",
       "      <th>Beach</th>\n",
       "      <th>Bed &amp; Breakfast</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Belgian Restaurant</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Boat or Ferry</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Brazilian Restaurant</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Brewery</th>\n",
       "      <th>Bubble Tea Shop</th>\n",
       "      <th>Building</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Burrito Place</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Café</th>\n",
       "      <th>Camera Store</th>\n",
       "      <th>Candy Store</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Cheese Shop</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Chocolate Shop</th>\n",
       "      <th>Church</th>\n",
       "      <th>Clothing Store</th>\n",
       "      <th>Cocktail Bar</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Arts Building</th>\n",
       "      <th>College Auditorium</th>\n",
       "      <th>College Cafeteria</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>College Rec Center</th>\n",
       "      <th>Colombian Restaurant</th>\n",
       "      <th>Comfort Food Restaurant</th>\n",
       "      <th>Comic Shop</th>\n",
       "      <th>Concert Hall</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cupcake Shop</th>\n",
       "      <th>Dance Studio</th>\n",
       "      <th>Deli / Bodega</th>\n",
       "      <th>Department Store</th>\n",
       "      <th>Dessert Shop</th>\n",
       "      <th>Dim Sum Restaurant</th>\n",
       "      <th>Diner</th>\n",
       "      <th>Discount Store</th>\n",
       "      <th>Distribution Center</th>\n",
       "      <th>Dog Run</th>\n",
       "      <th>Doner Restaurant</th>\n",
       "      <th>Donut Shop</th>\n",
       "      <th>Dumpling Restaurant</th>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Escape Room</th>\n",
       "      <th>Ethiopian Restaurant</th>\n",
       "      <th>Event Space</th>\n",
       "      <th>Falafel Restaurant</th>\n",
       "      <th>Farmers Market</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Filipino Restaurant</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Food &amp; Drink Shop</th>\n",
       "      <th>Food Court</th>\n",
       "      <th>Food Truck</th>\n",
       "      <th>Fountain</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Fried Chicken Joint</th>\n",
       "      <th>Furniture / Home Store</th>\n",
       "      <th>Gaming Cafe</th>\n",
       "      <th>Gastropub</th>\n",
       "      <th>Gay Bar</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>General Travel</th>\n",
       "      <th>German Restaurant</th>\n",
       "      <th>Gift Shop</th>\n",
       "      <th>Gluten-free Restaurant</th>\n",
       "      <th>Gourmet Shop</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Grocery Store</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Harbor / Marina</th>\n",
       "      <th>Health &amp; Beauty Service</th>\n",
       "      <th>Historic Site</th>\n",
       "      <th>History Museum</th>\n",
       "      <th>Hobby Shop</th>\n",
       "      <th>Hookah Bar</th>\n",
       "      <th>Hospital</th>\n",
       "      <th>Hostel</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>Hotel Bar</th>\n",
       "      <th>IT Services</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Indie Movie Theater</th>\n",
       "      <th>Irish Pub</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Japanese Restaurant</th>\n",
       "      <th>Jazz Club</th>\n",
       "      <th>Jewelry Store</th>\n",
       "      <th>Juice Bar</th>\n",
       "      <th>Kitchen Supply Store</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Lake</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Lingerie Store</th>\n",
       "      <th>Liquor Store</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Market</th>\n",
       "      <th>Martial Arts School</th>\n",
       "      <th>Massage Studio</th>\n",
       "      <th>Mediterranean Restaurant</th>\n",
       "      <th>Men's Store</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Miscellaneous Shop</th>\n",
       "      <th>Modern European Restaurant</th>\n",
       "      <th>Molecular Gastronomy Restaurant</th>\n",
       "      <th>Monument / Landmark</th>\n",
       "      <th>Moroccan Restaurant</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Venue</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>Opera House</th>\n",
       "      <th>Optical Shop</th>\n",
       "      <th>Organic Grocery</th>\n",
       "      <th>Other Great Outdoors</th>\n",
       "      <th>Park</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Plane</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Portuguese Restaurant</th>\n",
       "      <th>Poutine Place</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Record Shop</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>Roof Deck</th>\n",
       "      <th>Sake Bar</th>\n",
       "      <th>Salad Place</th>\n",
       "      <th>Salon / Barbershop</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Scenic Lookout</th>\n",
       "      <th>Sculpture Garden</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Shoe Store</th>\n",
       "      <th>Shopping Mall</th>\n",
       "      <th>Skating Rink</th>\n",
       "      <th>Smoke Shop</th>\n",
       "      <th>Smoothie Shop</th>\n",
       "      <th>Snack Place</th>\n",
       "      <th>Soup Place</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Strip Club</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Taco Place</th>\n",
       "      <th>Tailor Shop</th>\n",
       "      <th>Taiwanese Restaurant</th>\n",
       "      <th>Tanning Salon</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Thai Restaurant</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>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0625</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>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.062500</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.000000</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.000000</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0625</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>0.00</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.176471</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</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>0.029412</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.044118</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.014706</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>0.00</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.044118</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</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>0.014706</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.014706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Christie</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</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>0.0625</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.187500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.062500</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>0.00</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.062500</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.013333</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>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026667</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.093333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.013333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.053333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.053333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</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>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026667</td>\n",
       "      <td>0.026667</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.026667</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.053333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.026667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030000</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>0.020000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</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>0.060000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.130000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.070000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030000</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>0.030000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</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>0.070000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.110000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</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>0.020000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</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>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</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>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.090000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.010000</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</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>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Harbourfront East, Union Station, Toronto Islands</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.130000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.02</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Kensington Market, Chinatown, Grange Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</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>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.054054</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.054054</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.054054</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.000000</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.054054</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.0000</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.054054</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040541</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.242424</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</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>0.030303</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>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030303</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</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>0.00</td>\n",
       "      <td>0.030303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.068182</td>\n",
       "      <td>0.022727</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>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.022727</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>0.045455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.022727</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.068182</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.068182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</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>0.022727</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</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>0.00</td>\n",
       "      <td>0.022727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Richmond, Adelaide, King</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.030000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</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>0.000000</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</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>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.000000</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>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.25</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.035294</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</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>0.035294</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.047059</td>\n",
       "      <td>0.070588</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035294</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</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>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.047059</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023529</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>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</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>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>0.020833</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>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <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>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</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>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.062500</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Stn A PO Boxes</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020833</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>0.031250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.104167</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</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>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.010417</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>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020833</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.031250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030000</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>0.020000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.140000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.020000</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>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>University of Toronto, Harbord</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</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>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.088235</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.147059</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</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>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.029412</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighbourhood  Afghan Restaurant  \\\n",
       "0                                         Berczy Park           0.000000   \n",
       "1   CN Tower, King and Spadina, Railway Lands, Har...           0.000000   \n",
       "2                                  Central Bay Street           0.000000   \n",
       "3                                            Christie           0.000000   \n",
       "4                                Church and Wellesley           0.013333   \n",
       "5                      Commerce Court, Victoria Hotel           0.000000   \n",
       "6              First Canadian Place, Underground city           0.000000   \n",
       "7                            Garden District, Ryerson           0.000000   \n",
       "8   Harbourfront East, Union Station, Toronto Islands           0.000000   \n",
       "9           Kensington Market, Chinatown, Grange Park           0.000000   \n",
       "10        Queen's Park, Ontario Provincial Government           0.000000   \n",
       "11                          Regent Park, Harbourfront           0.000000   \n",
       "12                           Richmond, Adelaide, King           0.000000   \n",
       "13                                           Rosedale           0.000000   \n",
       "14                                     St. James Town           0.000000   \n",
       "15                        St. James Town, Cabbagetown           0.000000   \n",
       "16                                     Stn A PO Boxes           0.000000   \n",
       "17           Toronto Dominion Centre, Design Exchange           0.000000   \n",
       "18                     University of Toronto, Harbord           0.000000   \n",
       "\n",
       "    Airport  Airport Food Court  Airport Gate  Airport Lounge  \\\n",
       "0    0.0000              0.0000        0.0000           0.000   \n",
       "1    0.0625              0.0625        0.0625           0.125   \n",
       "2    0.0000              0.0000        0.0000           0.000   \n",
       "3    0.0000              0.0000        0.0000           0.000   \n",
       "4    0.0000              0.0000        0.0000           0.000   \n",
       "5    0.0000              0.0000        0.0000           0.000   \n",
       "6    0.0000              0.0000        0.0000           0.000   \n",
       "7    0.0000              0.0000        0.0000           0.000   \n",
       "8    0.0000              0.0000        0.0000           0.000   \n",
       "9    0.0000              0.0000        0.0000           0.000   \n",
       "10   0.0000              0.0000        0.0000           0.000   \n",
       "11   0.0000              0.0000        0.0000           0.000   \n",
       "12   0.0000              0.0000        0.0000           0.000   \n",
       "13   0.0000              0.0000        0.0000           0.000   \n",
       "14   0.0000              0.0000        0.0000           0.000   \n",
       "15   0.0000              0.0000        0.0000           0.000   \n",
       "16   0.0000              0.0000        0.0000           0.000   \n",
       "17   0.0000              0.0000        0.0000           0.000   \n",
       "18   0.0000              0.0000        0.0000           0.000   \n",
       "\n",
       "    Airport Service  Airport Terminal  American Restaurant  Antique Shop  \\\n",
       "0             0.000            0.0000             0.000000      0.000000   \n",
       "1             0.125            0.0625             0.000000      0.000000   \n",
       "2             0.000            0.0000             0.000000      0.000000   \n",
       "3             0.000            0.0000             0.000000      0.000000   \n",
       "4             0.000            0.0000             0.013333      0.000000   \n",
       "5             0.000            0.0000             0.030000      0.000000   \n",
       "6             0.000            0.0000             0.030000      0.000000   \n",
       "7             0.000            0.0000             0.000000      0.000000   \n",
       "8             0.000            0.0000             0.000000      0.000000   \n",
       "9             0.000            0.0000             0.000000      0.000000   \n",
       "10            0.000            0.0000             0.000000      0.000000   \n",
       "11            0.000            0.0000             0.000000      0.022727   \n",
       "12            0.000            0.0000             0.020000      0.000000   \n",
       "13            0.000            0.0000             0.000000      0.000000   \n",
       "14            0.000            0.0000             0.035294      0.000000   \n",
       "15            0.000            0.0000             0.000000      0.000000   \n",
       "16            0.000            0.0000             0.010417      0.010417   \n",
       "17            0.000            0.0000             0.030000      0.000000   \n",
       "18            0.000            0.0000             0.000000      0.000000   \n",
       "\n",
       "    Aquarium  Art Gallery  Art Museum  Arts & Crafts Store  Asian Restaurant  \\\n",
       "0       0.00     0.018182    0.000000             0.000000          0.000000   \n",
       "1       0.00     0.000000    0.000000             0.000000          0.000000   \n",
       "2       0.00     0.000000    0.014706             0.000000          0.000000   \n",
       "3       0.00     0.000000    0.000000             0.000000          0.000000   \n",
       "4       0.00     0.000000    0.000000             0.000000          0.000000   \n",
       "5       0.00     0.010000    0.000000             0.000000          0.020000   \n",
       "6       0.00     0.010000    0.000000             0.000000          0.030000   \n",
       "7       0.00     0.010000    0.000000             0.000000          0.000000   \n",
       "8       0.05     0.010000    0.000000             0.000000          0.000000   \n",
       "9       0.00     0.000000    0.000000             0.013514          0.000000   \n",
       "10      0.00     0.030303    0.000000             0.000000          0.000000   \n",
       "11      0.00     0.022727    0.000000             0.000000          0.000000   \n",
       "12      0.00     0.010000    0.010000             0.000000          0.010000   \n",
       "13      0.00     0.000000    0.000000             0.000000          0.000000   \n",
       "14      0.00     0.011765    0.000000             0.000000          0.011765   \n",
       "15      0.00     0.000000    0.000000             0.000000          0.000000   \n",
       "16      0.00     0.020833    0.000000             0.000000          0.000000   \n",
       "17      0.00     0.010000    0.000000             0.000000          0.020000   \n",
       "18      0.00     0.000000    0.000000             0.000000          0.000000   \n",
       "\n",
       "    Athletics & Sports  BBQ Joint  Baby Store  Bagel Shop    Bakery      Bank  \\\n",
       "0               0.0000   0.000000      0.0000    0.018182  0.036364  0.000000   \n",
       "1               0.0000   0.000000      0.0000    0.000000  0.000000  0.000000   \n",
       "2               0.0000   0.000000      0.0000    0.000000  0.000000  0.000000   \n",
       "3               0.0625   0.000000      0.0625    0.000000  0.000000  0.000000   \n",
       "4               0.0000   0.000000      0.0000    0.000000  0.000000  0.000000   \n",
       "5               0.0000   0.000000      0.0000    0.000000  0.010000  0.000000   \n",
       "6               0.0000   0.000000      0.0000    0.000000  0.010000  0.000000   \n",
       "7               0.0000   0.000000      0.0000    0.000000  0.010000  0.010000   \n",
       "8               0.0000   0.000000      0.0000    0.000000  0.020000  0.010000   \n",
       "9               0.0000   0.000000      0.0000    0.000000  0.027027  0.000000   \n",
       "10              0.0000   0.000000      0.0000    0.000000  0.000000  0.030303   \n",
       "11              0.0000   0.000000      0.0000    0.000000  0.068182  0.022727   \n",
       "12              0.0000   0.000000      0.0000    0.000000  0.010000  0.010000   \n",
       "13              0.0000   0.000000      0.0000    0.000000  0.000000  0.000000   \n",
       "14              0.0000   0.011765      0.0000    0.000000  0.011765  0.000000   \n",
       "15              0.0000   0.000000      0.0000    0.000000  0.041667  0.020833   \n",
       "16              0.0000   0.000000      0.0000    0.010417  0.020833  0.000000   \n",
       "17              0.0000   0.000000      0.0000    0.000000  0.020000  0.000000   \n",
       "18              0.0000   0.000000      0.0000    0.000000  0.058824  0.029412   \n",
       "\n",
       "         Bar  Baseball Stadium  Basketball Stadium     Beach  Bed & Breakfast  \\\n",
       "0   0.000000              0.00            0.018182  0.018182         0.000000   \n",
       "1   0.062500              0.00            0.000000  0.000000         0.000000   \n",
       "2   0.000000              0.00            0.000000  0.000000         0.000000   \n",
       "3   0.000000              0.00            0.000000  0.000000         0.000000   \n",
       "4   0.000000              0.00            0.000000  0.000000         0.000000   \n",
       "5   0.010000              0.00            0.000000  0.000000         0.000000   \n",
       "6   0.020000              0.00            0.000000  0.000000         0.000000   \n",
       "7   0.000000              0.00            0.000000  0.000000         0.000000   \n",
       "8   0.020000              0.02            0.010000  0.000000         0.000000   \n",
       "9   0.054054              0.00            0.000000  0.000000         0.013514   \n",
       "10  0.030303              0.00            0.000000  0.000000         0.000000   \n",
       "11  0.000000              0.00            0.000000  0.000000         0.000000   \n",
       "12  0.030000              0.00            0.000000  0.000000         0.000000   \n",
       "13  0.000000              0.00            0.000000  0.000000         0.000000   \n",
       "14  0.000000              0.00            0.000000  0.000000         0.000000   \n",
       "15  0.000000              0.00            0.000000  0.000000         0.000000   \n",
       "16  0.000000              0.00            0.010417  0.000000         0.000000   \n",
       "17  0.020000              0.00            0.010000  0.000000         0.000000   \n",
       "18  0.058824              0.00            0.000000  0.000000         0.000000   \n",
       "\n",
       "    Beer Bar  Beer Store  Belgian Restaurant    Bistro  Boat or Ferry  \\\n",
       "0   0.036364    0.000000            0.000000  0.018182         0.0000   \n",
       "1   0.000000    0.000000            0.000000  0.000000         0.0625   \n",
       "2   0.000000    0.000000            0.000000  0.000000         0.0000   \n",
       "3   0.000000    0.000000            0.000000  0.000000         0.0000   \n",
       "4   0.013333    0.000000            0.000000  0.000000         0.0000   \n",
       "5   0.020000    0.000000            0.000000  0.000000         0.0000   \n",
       "6   0.020000    0.000000            0.000000  0.000000         0.0000   \n",
       "7   0.000000    0.000000            0.000000  0.000000         0.0000   \n",
       "8   0.010000    0.000000            0.000000  0.010000         0.0000   \n",
       "9   0.013514    0.000000            0.013514  0.000000         0.0000   \n",
       "10  0.030303    0.000000            0.000000  0.000000         0.0000   \n",
       "11  0.000000    0.022727            0.000000  0.000000         0.0000   \n",
       "12  0.000000    0.000000            0.000000  0.000000         0.0000   \n",
       "13  0.000000    0.000000            0.000000  0.000000         0.0000   \n",
       "14  0.035294    0.000000            0.011765  0.011765         0.0000   \n",
       "15  0.000000    0.020833            0.000000  0.000000         0.0000   \n",
       "16  0.031250    0.000000            0.000000  0.010417         0.0000   \n",
       "17  0.020000    0.000000            0.000000  0.000000         0.0000   \n",
       "18  0.029412    0.029412            0.000000  0.000000         0.0000   \n",
       "\n",
       "    Bookstore  Boutique  Brazilian Restaurant  Breakfast Spot   Brewery  \\\n",
       "0    0.000000    0.0000                  0.00        0.018182  0.000000   \n",
       "1    0.000000    0.0625                  0.00        0.000000  0.000000   \n",
       "2    0.014706    0.0000                  0.00        0.000000  0.000000   \n",
       "3    0.000000    0.0000                  0.00        0.000000  0.000000   \n",
       "4    0.013333    0.0000                  0.00        0.013333  0.000000   \n",
       "5    0.010000    0.0000                  0.00        0.010000  0.000000   \n",
       "6    0.010000    0.0000                  0.01        0.000000  0.000000   \n",
       "7    0.020000    0.0000                  0.00        0.000000  0.000000   \n",
       "8    0.000000    0.0000                  0.00        0.000000  0.030000   \n",
       "9    0.000000    0.0000                  0.00        0.013514  0.013514   \n",
       "10   0.000000    0.0000                  0.00        0.000000  0.000000   \n",
       "11   0.000000    0.0000                  0.00        0.045455  0.022727   \n",
       "12   0.020000    0.0000                  0.01        0.020000  0.000000   \n",
       "13   0.000000    0.0000                  0.00        0.000000  0.000000   \n",
       "14   0.011765    0.0000                  0.00        0.011765  0.000000   \n",
       "15   0.000000    0.0000                  0.00        0.000000  0.000000   \n",
       "16   0.010417    0.0000                  0.00        0.020833  0.000000   \n",
       "17   0.000000    0.0000                  0.00        0.010000  0.000000   \n",
       "18   0.088235    0.0000                  0.00        0.000000  0.000000   \n",
       "\n",
       "    Bubble Tea Shop  Building  Burger Joint  Burrito Place   Butcher  \\\n",
       "0          0.000000      0.00      0.000000       0.000000  0.000000   \n",
       "1          0.000000      0.00      0.000000       0.000000  0.000000   \n",
       "2          0.029412      0.00      0.029412       0.000000  0.000000   \n",
       "3          0.000000      0.00      0.000000       0.000000  0.000000   \n",
       "4          0.026667      0.00      0.013333       0.000000  0.000000   \n",
       "5          0.000000      0.01      0.010000       0.000000  0.000000   \n",
       "6          0.000000      0.01      0.010000       0.000000  0.000000   \n",
       "7          0.030000      0.00      0.010000       0.010000  0.000000   \n",
       "8          0.010000      0.00      0.000000       0.000000  0.000000   \n",
       "9          0.000000      0.00      0.027027       0.013514  0.000000   \n",
       "10         0.000000      0.00      0.000000       0.000000  0.000000   \n",
       "11         0.000000      0.00      0.000000       0.000000  0.000000   \n",
       "12         0.000000      0.01      0.010000       0.020000  0.000000   \n",
       "13         0.000000      0.00      0.000000       0.000000  0.000000   \n",
       "14         0.000000      0.00      0.000000       0.011765  0.000000   \n",
       "15         0.000000      0.00      0.000000       0.000000  0.020833   \n",
       "16         0.000000      0.00      0.000000       0.000000  0.000000   \n",
       "17         0.000000      0.00      0.000000       0.010000  0.000000   \n",
       "18         0.000000      0.00      0.000000       0.000000  0.000000   \n",
       "\n",
       "        Café  Camera Store  Candy Store  Caribbean Restaurant  Cheese Shop  \\\n",
       "0   0.018182      0.000000       0.0000              0.000000     0.036364   \n",
       "1   0.000000      0.000000       0.0000              0.000000     0.000000   \n",
       "2   0.058824      0.000000       0.0000              0.000000     0.000000   \n",
       "3   0.187500      0.000000       0.0625              0.000000     0.000000   \n",
       "4   0.026667      0.000000       0.0000              0.013333     0.000000   \n",
       "5   0.060000      0.000000       0.0000              0.000000     0.000000   \n",
       "6   0.070000      0.000000       0.0000              0.000000     0.000000   \n",
       "7   0.040000      0.000000       0.0000              0.000000     0.000000   \n",
       "8   0.040000      0.000000       0.0000              0.000000     0.000000   \n",
       "9   0.054054      0.000000       0.0000              0.013514     0.013514   \n",
       "10  0.030303      0.000000       0.0000              0.000000     0.000000   \n",
       "11  0.045455      0.000000       0.0000              0.000000     0.000000   \n",
       "12  0.050000      0.000000       0.0000              0.000000     0.000000   \n",
       "13  0.000000      0.000000       0.0000              0.000000     0.000000   \n",
       "14  0.058824      0.011765       0.0000              0.000000     0.011765   \n",
       "15  0.062500      0.000000       0.0000              0.020833     0.000000   \n",
       "16  0.031250      0.000000       0.0000              0.000000     0.020833   \n",
       "17  0.050000      0.000000       0.0000              0.000000     0.000000   \n",
       "18  0.147059      0.000000       0.0000              0.000000     0.000000   \n",
       "\n",
       "    Chinese Restaurant  Chocolate Shop    Church  Clothing Store  \\\n",
       "0             0.000000        0.000000  0.000000        0.000000   \n",
       "1             0.000000        0.000000  0.000000        0.000000   \n",
       "2             0.000000        0.000000  0.000000        0.000000   \n",
       "3             0.000000        0.000000  0.000000        0.000000   \n",
       "4             0.013333        0.000000  0.000000        0.013333   \n",
       "5             0.000000        0.000000  0.000000        0.000000   \n",
       "6             0.000000        0.000000  0.000000        0.000000   \n",
       "7             0.010000        0.000000  0.000000        0.090000   \n",
       "8             0.010000        0.000000  0.000000        0.000000   \n",
       "9             0.000000        0.000000  0.000000        0.000000   \n",
       "10            0.030303        0.000000  0.000000        0.000000   \n",
       "11            0.000000        0.022727  0.000000        0.000000   \n",
       "12            0.000000        0.000000  0.000000        0.030000   \n",
       "13            0.000000        0.000000  0.000000        0.000000   \n",
       "14            0.000000        0.000000  0.000000        0.023529   \n",
       "15            0.041667        0.000000  0.000000        0.000000   \n",
       "16            0.000000        0.000000  0.010417        0.000000   \n",
       "17            0.010000        0.000000  0.000000        0.010000   \n",
       "18            0.000000        0.000000  0.000000        0.000000   \n",
       "\n",
       "    Cocktail Bar  Coffee Shop  College Arts Building  College Auditorium  \\\n",
       "0       0.036364     0.090909               0.000000            0.000000   \n",
       "1       0.000000     0.062500               0.000000            0.000000   \n",
       "2       0.000000     0.176471               0.000000            0.000000   \n",
       "3       0.000000     0.062500               0.000000            0.000000   \n",
       "4       0.000000     0.093333               0.000000            0.000000   \n",
       "5       0.020000     0.130000               0.000000            0.000000   \n",
       "6       0.010000     0.110000               0.000000            0.000000   \n",
       "7       0.000000     0.090000               0.000000            0.000000   \n",
       "8       0.000000     0.130000               0.000000            0.000000   \n",
       "9       0.013514     0.054054               0.000000            0.000000   \n",
       "10      0.000000     0.242424               0.000000            0.030303   \n",
       "11      0.000000     0.181818               0.000000            0.000000   \n",
       "12      0.000000     0.080000               0.000000            0.000000   \n",
       "13      0.000000     0.000000               0.000000            0.000000   \n",
       "14      0.047059     0.070588               0.000000            0.000000   \n",
       "15      0.000000     0.083333               0.000000            0.000000   \n",
       "16      0.020833     0.104167               0.000000            0.000000   \n",
       "17      0.000000     0.140000               0.000000            0.000000   \n",
       "18      0.000000     0.029412               0.029412            0.000000   \n",
       "\n",
       "    College Cafeteria  College Gym  College Rec Center  Colombian Restaurant  \\\n",
       "0            0.000000     0.000000                0.00                  0.00   \n",
       "1            0.000000     0.000000                0.00                  0.00   \n",
       "2            0.000000     0.000000                0.00                  0.00   \n",
       "3            0.000000     0.000000                0.00                  0.00   \n",
       "4            0.000000     0.000000                0.00                  0.00   \n",
       "5            0.000000     0.000000                0.00                  0.00   \n",
       "6            0.000000     0.000000                0.00                  0.01   \n",
       "7            0.000000     0.000000                0.01                  0.00   \n",
       "8            0.000000     0.000000                0.00                  0.00   \n",
       "9            0.000000     0.000000                0.00                  0.00   \n",
       "10           0.030303     0.000000                0.00                  0.00   \n",
       "11           0.000000     0.000000                0.00                  0.00   \n",
       "12           0.000000     0.000000                0.00                  0.01   \n",
       "13           0.000000     0.000000                0.00                  0.00   \n",
       "14           0.000000     0.000000                0.00                  0.00   \n",
       "15           0.000000     0.000000                0.00                  0.00   \n",
       "16           0.000000     0.000000                0.00                  0.00   \n",
       "17           0.000000     0.000000                0.00                  0.00   \n",
       "18           0.000000     0.029412                0.00                  0.00   \n",
       "\n",
       "    Comfort Food Restaurant  Comic Shop  Concert Hall  Cosmetics Shop  \\\n",
       "0                  0.018182    0.000000      0.018182        0.000000   \n",
       "1                  0.000000    0.000000      0.000000        0.000000   \n",
       "2                  0.000000    0.014706      0.000000        0.000000   \n",
       "3                  0.000000    0.000000      0.000000        0.000000   \n",
       "4                  0.000000    0.000000      0.000000        0.000000   \n",
       "5                  0.000000    0.000000      0.010000        0.000000   \n",
       "6                  0.000000    0.000000      0.020000        0.000000   \n",
       "7                  0.000000    0.010000      0.000000        0.030000   \n",
       "8                  0.000000    0.000000      0.000000        0.000000   \n",
       "9                  0.013514    0.000000      0.000000        0.000000   \n",
       "10                 0.000000    0.000000      0.000000        0.000000   \n",
       "11                 0.000000    0.000000      0.000000        0.000000   \n",
       "12                 0.000000    0.000000      0.020000        0.020000   \n",
       "13                 0.000000    0.000000      0.000000        0.000000   \n",
       "14                 0.011765    0.000000      0.000000        0.023529   \n",
       "15                 0.000000    0.000000      0.000000        0.000000   \n",
       "16                 0.010417    0.000000      0.010417        0.010417   \n",
       "17                 0.000000    0.000000      0.020000        0.000000   \n",
       "18                 0.029412    0.000000      0.000000        0.000000   \n",
       "\n",
       "    Creperie  Cupcake Shop  Dance Studio  Deli / Bodega  Department Store  \\\n",
       "0   0.018182          0.00      0.000000       0.000000          0.018182   \n",
       "1   0.000000          0.00      0.000000       0.000000          0.000000   \n",
       "2   0.000000          0.00      0.000000       0.000000          0.029412   \n",
       "3   0.000000          0.00      0.000000       0.000000          0.000000   \n",
       "4   0.013333          0.00      0.013333       0.000000          0.000000   \n",
       "5   0.010000          0.00      0.000000       0.030000          0.010000   \n",
       "6   0.000000          0.00      0.000000       0.030000          0.010000   \n",
       "7   0.000000          0.00      0.000000       0.000000          0.010000   \n",
       "8   0.000000          0.00      0.010000       0.010000          0.010000   \n",
       "9   0.000000          0.00      0.000000       0.000000          0.000000   \n",
       "10  0.030303          0.00      0.000000       0.000000          0.000000   \n",
       "11  0.000000          0.00      0.000000       0.000000          0.000000   \n",
       "12  0.000000          0.01      0.000000       0.010000          0.010000   \n",
       "13  0.000000          0.00      0.000000       0.000000          0.000000   \n",
       "14  0.011765          0.00      0.000000       0.000000          0.023529   \n",
       "15  0.000000          0.00      0.000000       0.020833          0.000000   \n",
       "16  0.020833          0.00      0.000000       0.010417          0.010417   \n",
       "17  0.000000          0.00      0.000000       0.020000          0.000000   \n",
       "18  0.000000          0.00      0.000000       0.000000          0.000000   \n",
       "\n",
       "    Dessert Shop  Dim Sum Restaurant     Diner  Discount Store  \\\n",
       "0       0.000000            0.000000  0.018182        0.000000   \n",
       "1       0.000000            0.000000  0.000000        0.000000   \n",
       "2       0.014706            0.000000  0.014706        0.014706   \n",
       "3       0.000000            0.000000  0.000000        0.000000   \n",
       "4       0.000000            0.000000  0.013333        0.000000   \n",
       "5       0.000000            0.000000  0.000000        0.000000   \n",
       "6       0.000000            0.000000  0.000000        0.000000   \n",
       "7       0.010000            0.000000  0.020000        0.000000   \n",
       "8       0.010000            0.000000  0.000000        0.010000   \n",
       "9       0.027027            0.013514  0.000000        0.000000   \n",
       "10      0.000000            0.000000  0.030303        0.000000   \n",
       "11      0.022727            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  0.011765        0.000000   \n",
       "15      0.000000            0.000000  0.020833        0.000000   \n",
       "16      0.000000            0.000000  0.010417        0.000000   \n",
       "17      0.000000            0.000000  0.000000        0.000000   \n",
       "18      0.029412            0.000000  0.000000        0.000000   \n",
       "\n",
       "    Distribution Center   Dog Run  Doner Restaurant  Donut Shop  \\\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    0.014706   \n",
       "3              0.000000  0.000000          0.000000    0.000000   \n",
       "4              0.013333  0.013333          0.000000    0.000000   \n",
       "5              0.000000  0.000000          0.000000    0.000000   \n",
       "6              0.000000  0.000000          0.000000    0.000000   \n",
       "7              0.010000  0.000000          0.000000    0.000000   \n",
       "8              0.000000  0.000000          0.000000    0.000000   \n",
       "9              0.000000  0.000000          0.013514    0.013514   \n",
       "10             0.030303  0.000000          0.000000    0.000000   \n",
       "11             0.022727  0.000000          0.000000    0.000000   \n",
       "12             0.000000  0.000000          0.000000    0.000000   \n",
       "13             0.000000  0.000000          0.000000    0.000000   \n",
       "14             0.000000  0.000000          0.000000    0.000000   \n",
       "15             0.000000  0.000000          0.000000    0.000000   \n",
       "16             0.000000  0.000000          0.000000    0.000000   \n",
       "17             0.000000  0.000000          0.000000    0.000000   \n",
       "18             0.000000  0.000000          0.000000    0.000000   \n",
       "\n",
       "    Dumpling Restaurant  Eastern European Restaurant  Electronics Store  \\\n",
       "0              0.000000                     0.018182           0.000000   \n",
       "1              0.000000                     0.000000           0.000000   \n",
       "2              0.000000                     0.000000           0.000000   \n",
       "3              0.000000                     0.000000           0.000000   \n",
       "4              0.000000                     0.000000           0.000000   \n",
       "5              0.000000                     0.000000           0.000000   \n",
       "6              0.000000                     0.000000           0.000000   \n",
       "7              0.000000                     0.000000           0.010000   \n",
       "8              0.000000                     0.000000           0.000000   \n",
       "9              0.027027                     0.000000           0.000000   \n",
       "10             0.000000                     0.000000           0.000000   \n",
       "11             0.000000                     0.000000           0.022727   \n",
       "12             0.000000                     0.000000           0.010000   \n",
       "13             0.000000                     0.000000           0.000000   \n",
       "14             0.000000                     0.000000           0.011765   \n",
       "15             0.000000                     0.000000           0.000000   \n",
       "16             0.000000                     0.010417           0.000000   \n",
       "17             0.000000                     0.000000           0.000000   \n",
       "18             0.000000                     0.000000           0.000000   \n",
       "\n",
       "    Escape Room  Ethiopian Restaurant  Event Space  Falafel 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            0.014706   \n",
       "3      0.000000              0.000000     0.000000            0.000000   \n",
       "4      0.013333              0.013333     0.000000            0.000000   \n",
       "5      0.000000              0.000000     0.000000            0.000000   \n",
       "6      0.000000              0.000000     0.000000            0.000000   \n",
       "7      0.000000              0.010000     0.000000            0.000000   \n",
       "8      0.000000              0.000000     0.000000            0.000000   \n",
       "9      0.000000              0.000000     0.000000            0.000000   \n",
       "10     0.000000              0.000000     0.000000            0.000000   \n",
       "11     0.000000              0.000000     0.022727            0.000000   \n",
       "12     0.000000              0.000000     0.010000            0.000000   \n",
       "13     0.000000              0.000000     0.000000            0.000000   \n",
       "14     0.000000              0.000000     0.000000            0.000000   \n",
       "15     0.000000              0.000000     0.000000            0.000000   \n",
       "16     0.000000              0.000000     0.000000            0.000000   \n",
       "17     0.000000              0.000000     0.000000            0.000000   \n",
       "18     0.000000              0.000000     0.000000            0.000000   \n",
       "\n",
       "    Farmers Market  Fast Food Restaurant  Filipino Restaurant  Fish Market  \\\n",
       "0         0.036364              0.000000             0.000000     0.018182   \n",
       "1         0.000000              0.000000             0.000000     0.000000   \n",
       "2         0.000000              0.000000             0.000000     0.000000   \n",
       "3         0.000000              0.000000             0.000000     0.000000   \n",
       "4         0.000000              0.013333             0.000000     0.000000   \n",
       "5         0.000000              0.010000             0.000000     0.000000   \n",
       "6         0.000000              0.000000             0.000000     0.000000   \n",
       "7         0.000000              0.020000             0.000000     0.000000   \n",
       "8         0.000000              0.000000             0.000000     0.000000   \n",
       "9         0.013514              0.000000             0.013514     0.013514   \n",
       "10        0.000000              0.000000             0.000000     0.000000   \n",
       "11        0.022727              0.000000             0.000000     0.000000   \n",
       "12        0.000000              0.010000             0.000000     0.000000   \n",
       "13        0.000000              0.000000             0.000000     0.000000   \n",
       "14        0.023529              0.000000             0.000000     0.011765   \n",
       "15        0.020833              0.000000             0.000000     0.000000   \n",
       "16        0.020833              0.010417             0.000000     0.010417   \n",
       "17        0.000000              0.010000             0.000000     0.000000   \n",
       "18        0.000000              0.000000             0.000000     0.000000   \n",
       "\n",
       "    Food & Drink Shop  Food Court  Food Truck  Fountain  French Restaurant  \\\n",
       "0            0.000000    0.000000    0.000000  0.018182           0.018182   \n",
       "1            0.000000    0.000000    0.000000  0.000000           0.000000   \n",
       "2            0.000000    0.000000    0.000000  0.000000           0.014706   \n",
       "3            0.000000    0.000000    0.000000  0.000000           0.000000   \n",
       "4            0.013333    0.000000    0.000000  0.000000           0.000000   \n",
       "5            0.000000    0.010000    0.010000  0.010000           0.010000   \n",
       "6            0.000000    0.010000    0.000000  0.000000           0.000000   \n",
       "7            0.000000    0.000000    0.000000  0.000000           0.000000   \n",
       "8            0.000000    0.000000    0.000000  0.000000           0.000000   \n",
       "9            0.000000    0.013514    0.000000  0.000000           0.000000   \n",
       "10           0.000000    0.000000    0.000000  0.000000           0.000000   \n",
       "11           0.000000    0.000000    0.000000  0.000000           0.022727   \n",
       "12           0.000000    0.010000    0.000000  0.000000           0.000000   \n",
       "13           0.000000    0.000000    0.000000  0.000000           0.000000   \n",
       "14           0.000000    0.000000    0.011765  0.011765           0.011765   \n",
       "15           0.000000    0.000000    0.000000  0.000000           0.000000   \n",
       "16           0.000000    0.000000    0.010417  0.010417           0.010417   \n",
       "17           0.000000    0.010000    0.000000  0.000000           0.010000   \n",
       "18           0.000000    0.000000    0.000000  0.000000           0.029412   \n",
       "\n",
       "    Fried Chicken Joint  Furniture / Home Store  Gaming Cafe  Gastropub  \\\n",
       "0              0.000000                0.000000     0.000000   0.000000   \n",
       "1              0.000000                0.000000     0.000000   0.000000   \n",
       "2              0.000000                0.014706     0.000000   0.014706   \n",
       "3              0.000000                0.000000     0.000000   0.000000   \n",
       "4              0.000000                0.000000     0.000000   0.013333   \n",
       "5              0.010000                0.000000     0.000000   0.020000   \n",
       "6              0.010000                0.000000     0.000000   0.020000   \n",
       "7              0.000000                0.020000     0.000000   0.010000   \n",
       "8              0.030000                0.000000     0.000000   0.000000   \n",
       "9              0.000000                0.013514     0.027027   0.000000   \n",
       "10             0.030303                0.000000     0.000000   0.000000   \n",
       "11             0.000000                0.000000     0.000000   0.000000   \n",
       "12             0.000000                0.010000     0.000000   0.010000   \n",
       "13             0.000000                0.000000     0.000000   0.000000   \n",
       "14             0.000000                0.011765     0.000000   0.035294   \n",
       "15             0.000000                0.000000     0.000000   0.020833   \n",
       "16             0.000000                0.000000     0.000000   0.010417   \n",
       "17             0.000000                0.000000     0.000000   0.020000   \n",
       "18             0.000000                0.000000     0.000000   0.000000   \n",
       "\n",
       "     Gay Bar  General Entertainment  General Travel  German Restaurant  \\\n",
       "0   0.000000               0.000000            0.00           0.000000   \n",
       "1   0.000000               0.000000            0.00           0.000000   \n",
       "2   0.000000               0.000000            0.00           0.000000   \n",
       "3   0.000000               0.000000            0.00           0.000000   \n",
       "4   0.053333               0.000000            0.00           0.000000   \n",
       "5   0.000000               0.000000            0.01           0.000000   \n",
       "6   0.000000               0.000000            0.01           0.000000   \n",
       "7   0.000000               0.000000            0.00           0.000000   \n",
       "8   0.000000               0.000000            0.00           0.000000   \n",
       "9   0.000000               0.000000            0.00           0.000000   \n",
       "10  0.000000               0.000000            0.00           0.000000   \n",
       "11  0.000000               0.000000            0.00           0.000000   \n",
       "12  0.000000               0.000000            0.01           0.000000   \n",
       "13  0.000000               0.000000            0.00           0.000000   \n",
       "14  0.000000               0.000000            0.00           0.011765   \n",
       "15  0.000000               0.020833            0.00           0.000000   \n",
       "16  0.000000               0.000000            0.00           0.000000   \n",
       "17  0.000000               0.010000            0.01           0.000000   \n",
       "18  0.000000               0.000000            0.00           0.000000   \n",
       "\n",
       "    Gift Shop  Gluten-free Restaurant  Gourmet Shop  Greek Restaurant  \\\n",
       "0    0.000000                    0.00      0.018182          0.018182   \n",
       "1    0.000000                    0.00      0.000000          0.000000   \n",
       "2    0.000000                    0.00      0.000000          0.000000   \n",
       "3    0.000000                    0.00      0.000000          0.000000   \n",
       "4    0.000000                    0.00      0.000000          0.000000   \n",
       "5    0.000000                    0.01      0.000000          0.000000   \n",
       "6    0.000000                    0.01      0.000000          0.010000   \n",
       "7    0.000000                    0.00      0.000000          0.000000   \n",
       "8    0.000000                    0.00      0.000000          0.000000   \n",
       "9    0.000000                    0.00      0.000000          0.000000   \n",
       "10   0.000000                    0.00      0.000000          0.000000   \n",
       "11   0.000000                    0.00      0.000000          0.000000   \n",
       "12   0.010000                    0.01      0.000000          0.000000   \n",
       "13   0.000000                    0.00      0.000000          0.000000   \n",
       "14   0.000000                    0.00      0.000000          0.000000   \n",
       "15   0.020833                    0.00      0.000000          0.000000   \n",
       "16   0.000000                    0.00      0.010417          0.000000   \n",
       "17   0.000000                    0.01      0.000000          0.010000   \n",
       "18   0.000000                    0.00      0.000000          0.000000   \n",
       "\n",
       "    Grocery Store       Gym  Gym / Fitness Center  Harbor / Marina  \\\n",
       "0        0.018182  0.000000              0.000000           0.0000   \n",
       "1        0.000000  0.000000              0.000000           0.0625   \n",
       "2        0.000000  0.000000              0.014706           0.0000   \n",
       "3        0.250000  0.000000              0.000000           0.0000   \n",
       "4        0.000000  0.013333              0.000000           0.0000   \n",
       "5        0.000000  0.040000              0.010000           0.0000   \n",
       "6        0.000000  0.040000              0.010000           0.0000   \n",
       "7        0.000000  0.010000              0.010000           0.0000   \n",
       "8        0.000000  0.000000              0.000000           0.0000   \n",
       "9        0.027027  0.000000              0.000000           0.0000   \n",
       "10       0.000000  0.030303              0.000000           0.0000   \n",
       "11       0.000000  0.000000              0.022727           0.0000   \n",
       "12       0.000000  0.040000              0.010000           0.0000   \n",
       "13       0.000000  0.000000              0.000000           0.0000   \n",
       "14       0.011765  0.023529              0.000000           0.0000   \n",
       "15       0.020833  0.000000              0.000000           0.0000   \n",
       "16       0.010417  0.020833              0.000000           0.0000   \n",
       "17       0.000000  0.010000              0.010000           0.0000   \n",
       "18       0.000000  0.000000              0.000000           0.0000   \n",
       "\n",
       "    Health & Beauty Service  Historic Site  History Museum  Hobby Shop  \\\n",
       "0                  0.000000       0.000000            0.00    0.000000   \n",
       "1                  0.000000       0.000000            0.00    0.000000   \n",
       "2                  0.000000       0.000000            0.00    0.000000   \n",
       "3                  0.000000       0.000000            0.00    0.000000   \n",
       "4                  0.013333       0.000000            0.00    0.013333   \n",
       "5                  0.000000       0.000000            0.00    0.000000   \n",
       "6                  0.000000       0.000000            0.00    0.000000   \n",
       "7                  0.000000       0.000000            0.00    0.000000   \n",
       "8                  0.000000       0.000000            0.02    0.000000   \n",
       "9                  0.000000       0.000000            0.00    0.000000   \n",
       "10                 0.000000       0.000000            0.00    0.030303   \n",
       "11                 0.000000       0.022727            0.00    0.000000   \n",
       "12                 0.000000       0.000000            0.00    0.000000   \n",
       "13                 0.000000       0.000000            0.00    0.000000   \n",
       "14                 0.000000       0.000000            0.00    0.000000   \n",
       "15                 0.000000       0.000000            0.00    0.000000   \n",
       "16                 0.000000       0.000000            0.00    0.000000   \n",
       "17                 0.000000       0.000000            0.00    0.000000   \n",
       "18                 0.000000       0.000000            0.00    0.000000   \n",
       "\n",
       "    Hookah Bar  Hospital    Hostel     Hotel  Hotel Bar  IT Services  \\\n",
       "0         0.00  0.000000  0.000000  0.018182   0.000000         0.00   \n",
       "1         0.00  0.000000  0.000000  0.000000   0.000000         0.00   \n",
       "2         0.00  0.000000  0.000000  0.014706   0.000000         0.00   \n",
       "3         0.00  0.000000  0.000000  0.000000   0.000000         0.00   \n",
       "4         0.00  0.000000  0.000000  0.026667   0.000000         0.00   \n",
       "5         0.00  0.000000  0.000000  0.060000   0.000000         0.00   \n",
       "6         0.00  0.000000  0.000000  0.050000   0.000000         0.00   \n",
       "7         0.01  0.000000  0.000000  0.020000   0.000000         0.00   \n",
       "8         0.00  0.000000  0.000000  0.040000   0.010000         0.01   \n",
       "9         0.00  0.013514  0.000000  0.000000   0.013514         0.00   \n",
       "10        0.00  0.000000  0.000000  0.000000   0.000000         0.00   \n",
       "11        0.00  0.000000  0.000000  0.022727   0.000000         0.00   \n",
       "12        0.00  0.000000  0.000000  0.030000   0.000000         0.00   \n",
       "13        0.00  0.000000  0.000000  0.000000   0.000000         0.00   \n",
       "14        0.00  0.000000  0.000000  0.023529   0.000000         0.00   \n",
       "15        0.00  0.000000  0.000000  0.000000   0.000000         0.00   \n",
       "16        0.00  0.000000  0.010417  0.031250   0.000000         0.00   \n",
       "17        0.00  0.000000  0.000000  0.080000   0.000000         0.01   \n",
       "18        0.00  0.000000  0.000000  0.000000   0.000000         0.00   \n",
       "\n",
       "    Ice Cream Shop  Indian Restaurant  Indie Movie Theater  Irish Pub  \\\n",
       "0         0.000000           0.000000                 0.00   0.000000   \n",
       "1         0.000000           0.000000                 0.00   0.000000   \n",
       "2         0.014706           0.014706                 0.00   0.000000   \n",
       "3         0.000000           0.000000                 0.00   0.000000   \n",
       "4         0.013333           0.013333                 0.00   0.000000   \n",
       "5         0.000000           0.000000                 0.00   0.000000   \n",
       "6         0.000000           0.000000                 0.00   0.000000   \n",
       "7         0.000000           0.000000                 0.00   0.000000   \n",
       "8         0.010000           0.010000                 0.01   0.000000   \n",
       "9         0.013514           0.000000                 0.00   0.000000   \n",
       "10        0.000000           0.000000                 0.00   0.000000   \n",
       "11        0.000000           0.000000                 0.00   0.000000   \n",
       "12        0.000000           0.000000                 0.00   0.000000   \n",
       "13        0.000000           0.000000                 0.00   0.000000   \n",
       "14        0.000000           0.000000                 0.00   0.011765   \n",
       "15        0.000000           0.020833                 0.00   0.000000   \n",
       "16        0.000000           0.000000                 0.00   0.000000   \n",
       "17        0.000000           0.000000                 0.00   0.000000   \n",
       "18        0.000000           0.000000                 0.00   0.000000   \n",
       "\n",
       "    Italian Restaurant  Japanese Restaurant  Jazz Club  Jewelry Store  \\\n",
       "0             0.018182             0.018182   0.018182       0.000000   \n",
       "1             0.000000             0.000000   0.000000       0.000000   \n",
       "2             0.044118             0.029412   0.000000       0.000000   \n",
       "3             0.062500             0.000000   0.000000       0.000000   \n",
       "4             0.000000             0.053333   0.000000       0.000000   \n",
       "5             0.020000             0.030000   0.010000       0.000000   \n",
       "6             0.000000             0.040000   0.000000       0.000000   \n",
       "7             0.020000             0.030000   0.000000       0.000000   \n",
       "8             0.020000             0.010000   0.000000       0.000000   \n",
       "9             0.000000             0.013514   0.013514       0.000000   \n",
       "10            0.030303             0.000000   0.000000       0.000000   \n",
       "11            0.000000             0.000000   0.000000       0.000000   \n",
       "12            0.000000             0.010000   0.010000       0.000000   \n",
       "13            0.000000             0.000000   0.000000       0.000000   \n",
       "14            0.011765             0.023529   0.000000       0.000000   \n",
       "15            0.041667             0.020833   0.000000       0.020833   \n",
       "16            0.041667             0.031250   0.010417       0.000000   \n",
       "17            0.020000             0.030000   0.000000       0.000000   \n",
       "18            0.029412             0.058824   0.000000       0.000000   \n",
       "\n",
       "    Juice Bar  Kitchen Supply Store  Korean Restaurant  Lake  \\\n",
       "0    0.000000              0.000000           0.000000  0.00   \n",
       "1    0.000000              0.000000           0.000000  0.00   \n",
       "2    0.014706              0.000000           0.014706  0.00   \n",
       "3    0.000000              0.000000           0.000000  0.00   \n",
       "4    0.013333              0.000000           0.000000  0.00   \n",
       "5    0.000000              0.000000           0.000000  0.00   \n",
       "6    0.000000              0.000000           0.000000  0.00   \n",
       "7    0.000000              0.000000           0.000000  0.01   \n",
       "8    0.010000              0.000000           0.000000  0.01   \n",
       "9    0.000000              0.000000           0.000000  0.00   \n",
       "10   0.000000              0.000000           0.000000  0.00   \n",
       "11   0.000000              0.000000           0.000000  0.00   \n",
       "12   0.020000              0.000000           0.000000  0.00   \n",
       "13   0.000000              0.000000           0.000000  0.00   \n",
       "14   0.000000              0.011765           0.000000  0.00   \n",
       "15   0.000000              0.000000           0.000000  0.00   \n",
       "16   0.000000              0.000000           0.000000  0.00   \n",
       "17   0.000000              0.000000           0.000000  0.00   \n",
       "18   0.000000              0.000000           0.000000  0.00   \n",
       "\n",
       "    Latin American Restaurant  Lingerie Store  Liquor Store    Lounge  \\\n",
       "0                    0.000000        0.000000      0.018182  0.000000   \n",
       "1                    0.000000        0.000000      0.000000  0.000000   \n",
       "2                    0.000000        0.000000      0.000000  0.000000   \n",
       "3                    0.000000        0.000000      0.000000  0.000000   \n",
       "4                    0.000000        0.000000      0.000000  0.000000   \n",
       "5                    0.010000        0.000000      0.000000  0.000000   \n",
       "6                    0.010000        0.000000      0.000000  0.010000   \n",
       "7                    0.000000        0.020000      0.000000  0.010000   \n",
       "8                    0.000000        0.000000      0.000000  0.010000   \n",
       "9                    0.000000        0.000000      0.000000  0.000000   \n",
       "10                   0.000000        0.000000      0.000000  0.000000   \n",
       "11                   0.000000        0.000000      0.000000  0.000000   \n",
       "12                   0.010000        0.000000      0.000000  0.010000   \n",
       "13                   0.000000        0.000000      0.000000  0.000000   \n",
       "14                   0.011765        0.023529      0.000000  0.000000   \n",
       "15                   0.000000        0.000000      0.020833  0.000000   \n",
       "16                   0.000000        0.000000      0.010417  0.020833   \n",
       "17                   0.000000        0.000000      0.000000  0.010000   \n",
       "18                   0.000000        0.000000      0.000000  0.000000   \n",
       "\n",
       "      Market  Martial Arts School  Massage Studio  Mediterranean 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                  0.000000   \n",
       "3   0.000000             0.000000        0.000000                  0.000000   \n",
       "4   0.000000             0.013333        0.000000                  0.026667   \n",
       "5   0.000000             0.000000        0.000000                  0.000000   \n",
       "6   0.000000             0.000000        0.000000                  0.010000   \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        0.013514                  0.000000   \n",
       "10  0.000000             0.000000        0.000000                  0.000000   \n",
       "11  0.000000             0.000000        0.000000                  0.000000   \n",
       "12  0.000000             0.000000        0.000000                  0.010000   \n",
       "13  0.000000             0.000000        0.000000                  0.000000   \n",
       "14  0.000000             0.000000        0.000000                  0.000000   \n",
       "15  0.041667             0.000000        0.000000                  0.000000   \n",
       "16  0.000000             0.000000        0.000000                  0.000000   \n",
       "17  0.000000             0.000000        0.000000                  0.000000   \n",
       "18  0.000000             0.000000        0.000000                  0.000000   \n",
       "\n",
       "    Men's Store  Mexican Restaurant  Middle Eastern Restaurant  \\\n",
       "0      0.000000            0.000000                   0.000000   \n",
       "1      0.000000            0.000000                   0.000000   \n",
       "2      0.000000            0.000000                   0.014706   \n",
       "3      0.000000            0.000000                   0.000000   \n",
       "4      0.026667            0.013333                   0.000000   \n",
       "5      0.000000            0.000000                   0.000000   \n",
       "6      0.000000            0.000000                   0.000000   \n",
       "7      0.000000            0.010000                   0.020000   \n",
       "8      0.000000            0.010000                   0.000000   \n",
       "9      0.000000            0.054054                   0.000000   \n",
       "10     0.000000            0.030303                   0.000000   \n",
       "11     0.000000            0.022727                   0.000000   \n",
       "12     0.000000            0.000000                   0.000000   \n",
       "13     0.000000            0.000000                   0.000000   \n",
       "14     0.000000            0.000000                   0.011765   \n",
       "15     0.000000            0.000000                   0.000000   \n",
       "16     0.000000            0.000000                   0.000000   \n",
       "17     0.000000            0.000000                   0.000000   \n",
       "18     0.000000            0.000000                   0.000000   \n",
       "\n",
       "    Miscellaneous Shop  Modern European Restaurant  \\\n",
       "0             0.000000                    0.000000   \n",
       "1             0.000000                    0.000000   \n",
       "2             0.014706                    0.014706   \n",
       "3             0.000000                    0.000000   \n",
       "4             0.000000                    0.000000   \n",
       "5             0.000000                    0.000000   \n",
       "6             0.000000                    0.000000   \n",
       "7             0.010000                    0.010000   \n",
       "8             0.000000                    0.000000   \n",
       "9             0.000000                    0.000000   \n",
       "10            0.000000                    0.000000   \n",
       "11            0.000000                    0.000000   \n",
       "12            0.000000                    0.010000   \n",
       "13            0.000000                    0.000000   \n",
       "14            0.000000                    0.000000   \n",
       "15            0.000000                    0.000000   \n",
       "16            0.000000                    0.000000   \n",
       "17            0.000000                    0.000000   \n",
       "18            0.000000                    0.000000   \n",
       "\n",
       "    Molecular Gastronomy Restaurant  Monument / Landmark  Moroccan Restaurant  \\\n",
       "0                          0.000000                 0.00             0.000000   \n",
       "1                          0.000000                 0.00             0.000000   \n",
       "2                          0.000000                 0.00             0.000000   \n",
       "3                          0.000000                 0.00             0.000000   \n",
       "4                          0.000000                 0.00             0.000000   \n",
       "5                          0.000000                 0.01             0.000000   \n",
       "6                          0.000000                 0.01             0.000000   \n",
       "7                          0.000000                 0.00             0.000000   \n",
       "8                          0.000000                 0.01             0.000000   \n",
       "9                          0.000000                 0.00             0.000000   \n",
       "10                         0.000000                 0.00             0.000000   \n",
       "11                         0.000000                 0.00             0.000000   \n",
       "12                         0.000000                 0.01             0.000000   \n",
       "13                         0.000000                 0.00             0.000000   \n",
       "14                         0.000000                 0.00             0.023529   \n",
       "15                         0.000000                 0.00             0.000000   \n",
       "16                         0.010417                 0.00             0.000000   \n",
       "17                         0.000000                 0.00             0.000000   \n",
       "18                         0.000000                 0.00             0.000000   \n",
       "\n",
       "    Movie Theater    Museum  Music Venue  Neighborhood  \\\n",
       "0        0.000000  0.018182     0.000000          0.00   \n",
       "1        0.000000  0.000000     0.000000          0.00   \n",
       "2        0.000000  0.000000     0.000000          0.00   \n",
       "3        0.000000  0.000000     0.000000          0.00   \n",
       "4        0.000000  0.000000     0.000000          0.00   \n",
       "5        0.000000  0.010000     0.000000          0.00   \n",
       "6        0.000000  0.010000     0.000000          0.00   \n",
       "7        0.010000  0.000000     0.010000          0.00   \n",
       "8        0.000000  0.000000     0.020000          0.01   \n",
       "9        0.000000  0.000000     0.000000          0.00   \n",
       "10       0.000000  0.000000     0.030303          0.00   \n",
       "11       0.000000  0.000000     0.000000          0.00   \n",
       "12       0.000000  0.000000     0.000000          0.01   \n",
       "13       0.000000  0.000000     0.000000          0.00   \n",
       "14       0.011765  0.000000     0.000000          0.00   \n",
       "15       0.000000  0.000000     0.000000          0.00   \n",
       "16       0.010417  0.010417     0.000000          0.00   \n",
       "17       0.000000  0.010000     0.000000          0.00   \n",
       "18       0.000000  0.000000     0.000000          0.00   \n",
       "\n",
       "    New American Restaurant  Nightclub  Noodle House    Office  Opera House  \\\n",
       "0                  0.000000   0.000000      0.000000  0.000000         0.00   \n",
       "1                  0.000000   0.000000      0.000000  0.000000         0.00   \n",
       "2                  0.014706   0.000000      0.000000  0.014706         0.00   \n",
       "3                  0.000000   0.062500      0.000000  0.000000         0.00   \n",
       "4                  0.000000   0.000000      0.000000  0.000000         0.00   \n",
       "5                  0.010000   0.000000      0.000000  0.010000         0.00   \n",
       "6                  0.010000   0.000000      0.000000  0.010000         0.01   \n",
       "7                  0.010000   0.000000      0.000000  0.010000         0.00   \n",
       "8                  0.010000   0.000000      0.000000  0.010000         0.00   \n",
       "9                  0.000000   0.000000      0.013514  0.000000         0.00   \n",
       "10                 0.000000   0.000000      0.000000  0.000000         0.00   \n",
       "11                 0.000000   0.000000      0.000000  0.000000         0.00   \n",
       "12                 0.010000   0.010000      0.010000  0.020000         0.00   \n",
       "13                 0.000000   0.000000      0.000000  0.000000         0.00   \n",
       "14                 0.011765   0.000000      0.000000  0.000000         0.00   \n",
       "15                 0.000000   0.000000      0.000000  0.000000         0.00   \n",
       "16                 0.000000   0.000000      0.000000  0.000000         0.00   \n",
       "17                 0.010000   0.000000      0.000000  0.010000         0.00   \n",
       "18                 0.000000   0.029412      0.029412  0.000000         0.00   \n",
       "\n",
       "    Optical Shop  Organic Grocery  Other Great Outdoors      Park  \\\n",
       "0       0.000000         0.000000                  0.00  0.018182   \n",
       "1       0.000000         0.000000                  0.00  0.000000   \n",
       "2       0.000000         0.000000                  0.00  0.014706   \n",
       "3       0.000000         0.000000                  0.00  0.125000   \n",
       "4       0.000000         0.000000                  0.00  0.013333   \n",
       "5       0.000000         0.000000                  0.00  0.010000   \n",
       "6       0.000000         0.000000                  0.00  0.000000   \n",
       "7       0.000000         0.000000                  0.01  0.010000   \n",
       "8       0.000000         0.000000                  0.00  0.020000   \n",
       "9       0.000000         0.013514                  0.00  0.027027   \n",
       "10      0.000000         0.000000                  0.00  0.030303   \n",
       "11      0.000000         0.000000                  0.00  0.068182   \n",
       "12      0.000000         0.000000                  0.00  0.000000   \n",
       "13      0.000000         0.000000                  0.00  0.500000   \n",
       "14      0.000000         0.000000                  0.00  0.011765   \n",
       "15      0.000000         0.000000                  0.00  0.041667   \n",
       "16      0.010417         0.000000                  0.00  0.020833   \n",
       "17      0.000000         0.000000                  0.00  0.000000   \n",
       "18      0.000000         0.000000                  0.00  0.000000   \n",
       "\n",
       "    Performing Arts Venue  Pet Store  Pharmacy  Pizza Place   Plane  \\\n",
       "0                0.000000   0.000000  0.018182     0.000000  0.0000   \n",
       "1                0.000000   0.000000  0.000000     0.000000  0.0625   \n",
       "2                0.000000   0.000000  0.000000     0.000000  0.0000   \n",
       "3                0.000000   0.000000  0.000000     0.000000  0.0000   \n",
       "4                0.000000   0.000000  0.000000     0.013333  0.0000   \n",
       "5                0.000000   0.000000  0.000000     0.010000  0.0000   \n",
       "6                0.000000   0.000000  0.000000     0.020000  0.0000   \n",
       "7                0.000000   0.000000  0.000000     0.020000  0.0000   \n",
       "8                0.010000   0.000000  0.000000     0.030000  0.0000   \n",
       "9                0.000000   0.000000  0.013514     0.027027  0.0000   \n",
       "10               0.000000   0.000000  0.000000     0.000000  0.0000   \n",
       "11               0.022727   0.000000  0.000000     0.000000  0.0000   \n",
       "12               0.000000   0.000000  0.000000     0.020000  0.0000   \n",
       "13               0.000000   0.000000  0.000000     0.000000  0.0000   \n",
       "14               0.000000   0.000000  0.011765     0.000000  0.0000   \n",
       "15               0.000000   0.020833  0.020833     0.062500  0.0000   \n",
       "16               0.000000   0.000000  0.010417     0.000000  0.0000   \n",
       "17               0.000000   0.000000  0.000000     0.010000  0.0000   \n",
       "18               0.000000   0.000000  0.000000     0.000000  0.0000   \n",
       "\n",
       "    Playground     Plaza  Poke Place  Portuguese Restaurant  Poutine Place  \\\n",
       "0     0.000000  0.000000    0.000000               0.000000       0.000000   \n",
       "1     0.000000  0.000000    0.000000               0.000000       0.000000   \n",
       "2     0.000000  0.000000    0.014706               0.014706       0.000000   \n",
       "3     0.000000  0.000000    0.000000               0.000000       0.000000   \n",
       "4     0.000000  0.000000    0.000000               0.000000       0.000000   \n",
       "5     0.000000  0.000000    0.010000               0.000000       0.000000   \n",
       "6     0.000000  0.010000    0.000000               0.000000       0.000000   \n",
       "7     0.000000  0.010000    0.000000               0.000000       0.010000   \n",
       "8     0.000000  0.020000    0.000000               0.000000       0.000000   \n",
       "9     0.000000  0.000000    0.000000               0.000000       0.013514   \n",
       "10    0.000000  0.000000    0.000000               0.030303       0.000000   \n",
       "11    0.000000  0.000000    0.000000               0.000000       0.000000   \n",
       "12    0.000000  0.010000    0.010000               0.000000       0.000000   \n",
       "13    0.250000  0.000000    0.000000               0.000000       0.000000   \n",
       "14    0.000000  0.000000    0.000000               0.000000       0.000000   \n",
       "15    0.020833  0.020833    0.000000               0.000000       0.000000   \n",
       "16    0.000000  0.000000    0.010417               0.000000       0.000000   \n",
       "17    0.000000  0.010000    0.000000               0.000000       0.000000   \n",
       "18    0.000000  0.000000    0.000000               0.000000       0.000000   \n",
       "\n",
       "         Pub  Ramen Restaurant  Record Shop  Rental Car Location  Restaurant  \\\n",
       "0   0.018182          0.000000     0.000000               0.0000    0.036364   \n",
       "1   0.000000          0.000000     0.000000               0.0625    0.000000   \n",
       "2   0.000000          0.014706     0.000000               0.0000    0.014706   \n",
       "3   0.000000          0.000000     0.000000               0.0000    0.062500   \n",
       "4   0.026667          0.013333     0.000000               0.0000    0.040000   \n",
       "5   0.010000          0.000000     0.000000               0.0000    0.070000   \n",
       "6   0.010000          0.000000     0.000000               0.0000    0.040000   \n",
       "7   0.000000          0.020000     0.000000               0.0000    0.010000   \n",
       "8   0.000000          0.000000     0.000000               0.0000    0.030000   \n",
       "9   0.000000          0.000000     0.013514               0.0000    0.000000   \n",
       "10  0.000000          0.000000     0.000000               0.0000    0.030303   \n",
       "11  0.068182          0.000000     0.000000               0.0000    0.022727   \n",
       "12  0.000000          0.000000     0.000000               0.0000    0.040000   \n",
       "13  0.000000          0.000000     0.000000               0.0000    0.000000   \n",
       "14  0.000000          0.000000     0.000000               0.0000    0.047059   \n",
       "15  0.041667          0.000000     0.000000               0.0000    0.062500   \n",
       "16  0.031250          0.000000     0.000000               0.0000    0.031250   \n",
       "17  0.010000          0.000000     0.000000               0.0000    0.050000   \n",
       "18  0.029412          0.000000     0.000000               0.0000    0.029412   \n",
       "\n",
       "    Roof Deck  Sake Bar  Salad Place  Salon / Barbershop  Sandwich Place  \\\n",
       "0        0.00  0.000000     0.000000            0.000000        0.018182   \n",
       "1        0.00  0.000000     0.000000            0.000000        0.000000   \n",
       "2        0.00  0.000000     0.029412            0.000000        0.044118   \n",
       "3        0.00  0.000000     0.000000            0.000000        0.000000   \n",
       "4        0.00  0.013333     0.000000            0.013333        0.000000   \n",
       "5        0.00  0.000000     0.010000            0.010000        0.010000   \n",
       "6        0.00  0.000000     0.030000            0.010000        0.010000   \n",
       "7        0.00  0.000000     0.000000            0.000000        0.010000   \n",
       "8        0.01  0.000000     0.010000            0.000000        0.010000   \n",
       "9        0.00  0.000000     0.000000            0.000000        0.000000   \n",
       "10       0.00  0.000000     0.000000            0.000000        0.030303   \n",
       "11       0.00  0.000000     0.000000            0.000000        0.000000   \n",
       "12       0.00  0.000000     0.020000            0.010000        0.000000   \n",
       "13       0.00  0.000000     0.000000            0.000000        0.000000   \n",
       "14       0.00  0.000000     0.000000            0.011765        0.000000   \n",
       "15       0.00  0.000000     0.000000            0.000000        0.020833   \n",
       "16       0.00  0.000000     0.000000            0.000000        0.020833   \n",
       "17       0.01  0.000000     0.030000            0.010000        0.010000   \n",
       "18       0.00  0.000000     0.000000            0.000000        0.058824   \n",
       "\n",
       "    Scenic Lookout  Sculpture Garden  Seafood Restaurant  Shoe Store  \\\n",
       "0             0.00          0.000000            0.036364    0.000000   \n",
       "1             0.00          0.062500            0.000000    0.000000   \n",
       "2             0.00          0.000000            0.014706    0.000000   \n",
       "3             0.00          0.000000            0.000000    0.000000   \n",
       "4             0.00          0.013333            0.000000    0.000000   \n",
       "5             0.00          0.000000            0.030000    0.000000   \n",
       "6             0.00          0.000000            0.030000    0.000000   \n",
       "7             0.00          0.000000            0.010000    0.010000   \n",
       "8             0.03          0.000000            0.010000    0.000000   \n",
       "9             0.00          0.000000            0.000000    0.000000   \n",
       "10            0.00          0.000000            0.000000    0.000000   \n",
       "11            0.00          0.000000            0.000000    0.022727   \n",
       "12            0.00          0.000000            0.010000    0.000000   \n",
       "13            0.00          0.000000            0.000000    0.000000   \n",
       "14            0.00          0.000000            0.023529    0.000000   \n",
       "15            0.00          0.000000            0.000000    0.000000   \n",
       "16            0.00          0.000000            0.031250    0.000000   \n",
       "17            0.00          0.000000            0.030000    0.000000   \n",
       "18            0.00          0.000000            0.000000    0.000000   \n",
       "\n",
       "    Shopping Mall  Skating Rink  Smoke Shop  Smoothie Shop  Snack Place  \\\n",
       "0        0.018182          0.00    0.000000       0.000000     0.000000   \n",
       "1        0.000000          0.00    0.000000       0.000000     0.000000   \n",
       "2        0.000000          0.00    0.000000       0.000000     0.000000   \n",
       "3        0.000000          0.00    0.000000       0.000000     0.000000   \n",
       "4        0.000000          0.00    0.013333       0.000000     0.000000   \n",
       "5        0.010000          0.00    0.000000       0.000000     0.000000   \n",
       "6        0.000000          0.00    0.000000       0.000000     0.000000   \n",
       "7        0.010000          0.00    0.010000       0.000000     0.000000   \n",
       "8        0.000000          0.01    0.000000       0.000000     0.000000   \n",
       "9        0.000000          0.00    0.000000       0.013514     0.013514   \n",
       "10       0.000000          0.00    0.000000       0.030303     0.000000   \n",
       "11       0.000000          0.00    0.000000       0.000000     0.000000   \n",
       "12       0.000000          0.00    0.010000       0.000000     0.000000   \n",
       "13       0.000000          0.00    0.000000       0.000000     0.000000   \n",
       "14       0.000000          0.00    0.000000       0.000000     0.000000   \n",
       "15       0.000000          0.00    0.000000       0.000000     0.020833   \n",
       "16       0.010417          0.00    0.000000       0.000000     0.000000   \n",
       "17       0.010000          0.00    0.000000       0.000000     0.000000   \n",
       "18       0.000000          0.00    0.000000       0.000000     0.000000   \n",
       "\n",
       "    Soup Place       Spa  Speakeasy  Sporting Goods Shop  Sports Bar  \\\n",
       "0     0.000000  0.000000       0.00             0.018182        0.00   \n",
       "1     0.000000  0.000000       0.00             0.000000        0.00   \n",
       "2     0.000000  0.014706       0.00             0.000000        0.00   \n",
       "3     0.000000  0.000000       0.00             0.000000        0.00   \n",
       "4     0.000000  0.000000       0.00             0.000000        0.00   \n",
       "5     0.000000  0.000000       0.00             0.000000        0.00   \n",
       "6     0.000000  0.000000       0.01             0.000000        0.00   \n",
       "7     0.000000  0.010000       0.00             0.010000        0.00   \n",
       "8     0.000000  0.000000       0.00             0.020000        0.01   \n",
       "9     0.000000  0.000000       0.00             0.000000        0.00   \n",
       "10    0.000000  0.000000       0.00             0.000000        0.00   \n",
       "11    0.000000  0.022727       0.00             0.000000        0.00   \n",
       "12    0.000000  0.000000       0.01             0.000000        0.00   \n",
       "13    0.000000  0.000000       0.00             0.000000        0.00   \n",
       "14    0.000000  0.000000       0.00             0.000000        0.00   \n",
       "15    0.000000  0.000000       0.00             0.000000        0.00   \n",
       "16    0.010417  0.000000       0.00             0.010417        0.00   \n",
       "17    0.000000  0.000000       0.01             0.020000        0.00   \n",
       "18    0.000000  0.000000       0.00             0.000000        0.00   \n",
       "\n",
       "    Steakhouse  Strip Club  Supermarket  Sushi Restaurant  Taco Place  \\\n",
       "0     0.018182    0.000000     0.000000          0.018182        0.00   \n",
       "1     0.000000    0.000000     0.000000          0.000000        0.00   \n",
       "2     0.000000    0.000000     0.000000          0.014706        0.00   \n",
       "3     0.000000    0.000000     0.000000          0.000000        0.00   \n",
       "4     0.013333    0.013333     0.000000          0.053333        0.00   \n",
       "5     0.010000    0.000000     0.000000          0.010000        0.00   \n",
       "6     0.030000    0.000000     0.000000          0.020000        0.00   \n",
       "7     0.010000    0.000000     0.000000          0.010000        0.00   \n",
       "8     0.010000    0.000000     0.010000          0.010000        0.00   \n",
       "9     0.000000    0.000000     0.013514          0.000000        0.00   \n",
       "10    0.000000    0.000000     0.000000          0.030303        0.00   \n",
       "11    0.000000    0.000000     0.000000          0.000000        0.00   \n",
       "12    0.020000    0.000000     0.000000          0.020000        0.00   \n",
       "13    0.000000    0.000000     0.000000          0.000000        0.00   \n",
       "14    0.000000    0.000000     0.000000          0.000000        0.00   \n",
       "15    0.000000    0.000000     0.000000          0.000000        0.00   \n",
       "16    0.000000    0.000000     0.000000          0.010417        0.00   \n",
       "17    0.020000    0.000000     0.000000          0.010000        0.01   \n",
       "18    0.000000    0.000000     0.000000          0.029412        0.00   \n",
       "\n",
       "    Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tea Room  \\\n",
       "0      0.018182              0.000000           0.00  0.000000   \n",
       "1      0.000000              0.000000           0.00  0.000000   \n",
       "2      0.000000              0.000000           0.00  0.014706   \n",
       "3      0.000000              0.000000           0.00  0.000000   \n",
       "4      0.000000              0.000000           0.00  0.000000   \n",
       "5      0.010000              0.000000           0.00  0.010000   \n",
       "6      0.000000              0.000000           0.00  0.010000   \n",
       "7      0.000000              0.000000           0.01  0.010000   \n",
       "8      0.000000              0.000000           0.00  0.010000   \n",
       "9      0.000000              0.000000           0.00  0.000000   \n",
       "10     0.000000              0.000000           0.00  0.000000   \n",
       "11     0.000000              0.000000           0.00  0.000000   \n",
       "12     0.000000              0.000000           0.00  0.000000   \n",
       "13     0.000000              0.000000           0.00  0.000000   \n",
       "14     0.011765              0.000000           0.00  0.000000   \n",
       "15     0.000000              0.020833           0.00  0.000000   \n",
       "16     0.010417              0.000000           0.00  0.000000   \n",
       "17     0.010000              0.000000           0.00  0.010000   \n",
       "18     0.000000              0.000000           0.00  0.000000   \n",
       "\n",
       "    Thai Restaurant   Theater  Theme Restaurant  Toy / Game Store  Trail  \\\n",
       "0          0.018182  0.000000          0.000000              0.00   0.00   \n",
       "1          0.000000  0.000000          0.000000              0.00   0.00   \n",
       "2          0.029412  0.000000          0.000000              0.00   0.00   \n",
       "3          0.000000  0.000000          0.000000              0.00   0.00   \n",
       "4          0.000000  0.013333          0.013333              0.00   0.00   \n",
       "5          0.020000  0.000000          0.000000              0.00   0.00   \n",
       "6          0.020000  0.010000          0.000000              0.00   0.00   \n",
       "7          0.010000  0.020000          0.000000              0.01   0.00   \n",
       "8          0.000000  0.010000          0.000000              0.00   0.00   \n",
       "9          0.013514  0.000000          0.000000              0.00   0.00   \n",
       "10         0.000000  0.030303          0.000000              0.00   0.00   \n",
       "11         0.000000  0.045455          0.000000              0.00   0.00   \n",
       "12         0.030000  0.010000          0.000000              0.01   0.00   \n",
       "13         0.000000  0.000000          0.000000              0.00   0.25   \n",
       "14         0.011765  0.011765          0.000000              0.00   0.00   \n",
       "15         0.020833  0.000000          0.000000              0.00   0.00   \n",
       "16         0.010417  0.000000          0.000000              0.00   0.00   \n",
       "17         0.000000  0.010000          0.000000              0.00   0.00   \n",
       "18         0.000000  0.029412          0.000000              0.00   0.00   \n",
       "\n",
       "    Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0            0.00                       0.018182          0.000000   \n",
       "1            0.00                       0.000000          0.000000   \n",
       "2            0.00                       0.014706          0.000000   \n",
       "3            0.00                       0.000000          0.000000   \n",
       "4            0.00                       0.000000          0.000000   \n",
       "5            0.00                       0.020000          0.000000   \n",
       "6            0.01                       0.010000          0.000000   \n",
       "7            0.00                       0.000000          0.010000   \n",
       "8            0.01                       0.010000          0.000000   \n",
       "9            0.00                       0.054054          0.000000   \n",
       "10           0.00                       0.000000          0.000000   \n",
       "11           0.00                       0.000000          0.000000   \n",
       "12           0.00                       0.010000          0.000000   \n",
       "13           0.00                       0.000000          0.000000   \n",
       "14           0.00                       0.011765          0.000000   \n",
       "15           0.00                       0.000000          0.000000   \n",
       "16           0.00                       0.010417          0.000000   \n",
       "17           0.01                       0.010000          0.000000   \n",
       "18           0.00                       0.000000          0.029412   \n",
       "\n",
       "    Vietnamese Restaurant  Wine Bar  Women's Store  Yoga Studio  \n",
       "0                0.000000  0.000000           0.00     0.000000  \n",
       "1                0.000000  0.000000           0.00     0.000000  \n",
       "2                0.000000  0.014706           0.00     0.014706  \n",
       "3                0.000000  0.000000           0.00     0.000000  \n",
       "4                0.013333  0.000000           0.00     0.026667  \n",
       "5                0.000000  0.010000           0.00     0.000000  \n",
       "6                0.000000  0.010000           0.00     0.000000  \n",
       "7                0.010000  0.010000           0.00     0.000000  \n",
       "8                0.000000  0.010000           0.00     0.000000  \n",
       "9                0.040541  0.013514           0.00     0.000000  \n",
       "10               0.000000  0.000000           0.00     0.030303  \n",
       "11               0.000000  0.000000           0.00     0.022727  \n",
       "12               0.000000  0.000000           0.01     0.000000  \n",
       "13               0.000000  0.000000           0.00     0.000000  \n",
       "14               0.000000  0.011765           0.00     0.000000  \n",
       "15               0.000000  0.000000           0.00     0.000000  \n",
       "16               0.000000  0.000000           0.00     0.010417  \n",
       "17               0.000000  0.010000           0.00     0.000000  \n",
       "18               0.000000  0.000000           0.00     0.029412  "
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_grouped = downtownT_onehot.groupby('Neighbourhood').mean().reset_index()\n",
    "downtownT_grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's confirm the new size\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(19, 213)"
      ]
     },
     "execution_count": 175,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_grouped.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's print each neighborhood along with the top 5 most common venues\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Berczy Park----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.09\n",
      "1  Seafood Restaurant  0.04\n",
      "2         Cheese Shop  0.04\n",
      "3        Cocktail Bar  0.04\n",
      "4            Beer Bar  0.04\n",
      "\n",
      "\n",
      "----CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport----\n",
      "             venue  freq\n",
      "0   Airport Lounge  0.12\n",
      "1  Airport Service  0.12\n",
      "2            Plane  0.06\n",
      "3          Airport  0.06\n",
      "4         Boutique  0.06\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.18\n",
      "1                Café  0.06\n",
      "2  Italian Restaurant  0.04\n",
      "3      Sandwich Place  0.04\n",
      "4     Bubble Tea Shop  0.03\n",
      "\n",
      "\n",
      "----Christie----\n",
      "           venue  freq\n",
      "0  Grocery Store  0.25\n",
      "1           Café  0.19\n",
      "2           Park  0.12\n",
      "3     Restaurant  0.06\n",
      "4     Baby Store  0.06\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.09\n",
      "1  Japanese Restaurant  0.05\n",
      "2              Gay Bar  0.05\n",
      "3     Sushi Restaurant  0.05\n",
      "4           Restaurant  0.04\n",
      "\n",
      "\n",
      "----Commerce Court, Victoria Hotel----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.13\n",
      "1   Restaurant  0.07\n",
      "2         Café  0.06\n",
      "3        Hotel  0.06\n",
      "4          Gym  0.04\n",
      "\n",
      "\n",
      "----First Canadian Place, Underground city----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.11\n",
      "1                 Café  0.07\n",
      "2                Hotel  0.05\n",
      "3  Japanese Restaurant  0.04\n",
      "4                  Gym  0.04\n",
      "\n",
      "\n",
      "----Garden District, Ryerson----\n",
      "                 venue  freq\n",
      "0       Clothing Store  0.09\n",
      "1          Coffee Shop  0.09\n",
      "2                 Café  0.04\n",
      "3  Japanese Restaurant  0.03\n",
      "4      Bubble Tea Shop  0.03\n",
      "\n",
      "\n",
      "----Harbourfront East, Union Station, Toronto Islands----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.13\n",
      "1             Aquarium  0.05\n",
      "2                 Café  0.04\n",
      "3                Hotel  0.04\n",
      "4  Fried Chicken Joint  0.03\n",
      "\n",
      "\n",
      "----Kensington Market, Chinatown, Grange Park----\n",
      "                           venue  freq\n",
      "0                           Café  0.05\n",
      "1  Vegetarian / Vegan Restaurant  0.05\n",
      "2                    Coffee Shop  0.05\n",
      "3             Mexican Restaurant  0.05\n",
      "4                            Bar  0.05\n",
      "\n",
      "\n",
      "----Queen's Park, Ontario Provincial Government----\n",
      "           venue  freq\n",
      "0    Coffee Shop  0.24\n",
      "1    Yoga Studio  0.03\n",
      "2       Creperie  0.03\n",
      "3  Smoothie Shop  0.03\n",
      "4           Café  0.03\n",
      "\n",
      "\n",
      "----Regent Park, Harbourfront----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.18\n",
      "1         Park  0.07\n",
      "2          Pub  0.07\n",
      "3       Bakery  0.07\n",
      "4      Theater  0.05\n",
      "\n",
      "\n",
      "----Richmond, Adelaide, King----\n",
      "             venue  freq\n",
      "0      Coffee Shop  0.08\n",
      "1             Café  0.05\n",
      "2              Gym  0.04\n",
      "3       Restaurant  0.04\n",
      "4  Thai Restaurant  0.03\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "               venue  freq\n",
      "0               Park  0.50\n",
      "1         Playground  0.25\n",
      "2              Trail  0.25\n",
      "3  Afghan Restaurant  0.00\n",
      "4             Museum  0.00\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  Cocktail Bar  0.05\n",
      "4      Beer Bar  0.04\n",
      "\n",
      "\n",
      "----St. James Town, Cabbagetown----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.08\n",
      "1   Restaurant  0.06\n",
      "2  Pizza Place  0.06\n",
      "3         Café  0.06\n",
      "4       Market  0.04\n",
      "\n",
      "\n",
      "----Stn A PO Boxes----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.10\n",
      "1   Italian Restaurant  0.04\n",
      "2                 Café  0.03\n",
      "3                Hotel  0.03\n",
      "4  Japanese Restaurant  0.03\n",
      "\n",
      "\n",
      "----Toronto Dominion Centre, Design Exchange----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.14\n",
      "1                Hotel  0.08\n",
      "2           Restaurant  0.05\n",
      "3                 Café  0.05\n",
      "4  Japanese Restaurant  0.03\n",
      "\n",
      "\n",
      "----University of Toronto, Harbord----\n",
      "                 venue  freq\n",
      "0                 Café  0.15\n",
      "1            Bookstore  0.09\n",
      "2  Japanese Restaurant  0.06\n",
      "3       Sandwich Place  0.06\n",
      "4                  Bar  0.06\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in downtownT_grouped['Neighbourhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = downtownT_grouped[downtownT_grouped['Neighbourhood'] == 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": "markdown",
   "metadata": {},
   "source": [
    "#### Let's put that into a _pandas_ dataframe\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's write a function to sort the venues in descending order.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "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": "markdown",
   "metadata": {},
   "source": [
    "Now let's create the new dataframe and display the top 10 venues for each neighborhood.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 178,
   "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>Neighbourhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Shopping Mall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Christie</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Candy Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       Neighbourhood 1st Most Common Venue  \\\n",
       "0                                        Berczy Park           Coffee Shop   \n",
       "1  CN Tower, King and Spadina, Railway Lands, Har...        Airport Lounge   \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           Cheese Shop                Bakery          Cocktail Bar   \n",
       "1       Airport Service       Harbor / Marina                   Bar   \n",
       "2                  Café        Sandwich Place    Italian Restaurant   \n",
       "3                  Café                  Park           Candy Store   \n",
       "4   Japanese Restaurant               Gay Bar      Sushi Restaurant   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0        Farmers Market    Seafood Restaurant              Beer Bar   \n",
       "1           Coffee Shop                 Plane   Rental Car Location   \n",
       "2           Salad Place      Department Store   Japanese Restaurant   \n",
       "3            Restaurant    Italian Restaurant            Baby Store   \n",
       "4            Restaurant                   Pub           Men's Store   \n",
       "\n",
       "      8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0                Restaurant        Breakfast Spot          Shopping Mall  \n",
       "1          Sculpture Garden              Boutique          Boat or Ferry  \n",
       "2           Bubble Tea Shop          Burger Joint        Thai Restaurant  \n",
       "3        Athletics & Sports             Nightclub            Coffee Shop  \n",
       "4  Mediterranean Restaurant                 Hotel            Yoga Studio  "
      ]
     },
     "execution_count": 178,
     "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 = ['Neighbourhood']\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['Neighbourhood'] = downtownT_grouped['Neighbourhood']\n",
    "\n",
    "for ind in np.arange(downtownT_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(downtownT_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cluster Neighborhoods\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run _k_-means to cluster the neighborhood into 5 clusters.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 1, 4, 1, 1, 1, 1, 1, 1], dtype=int32)"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "downtownT_grouped_clustering = downtownT_grouped.drop('Neighbourhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(downtownT_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10] "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create a new dataframe that includes the cluster as well as the top 10 venues for each neighborhood.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "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>Cluster Labels</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Shopping Mall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Christie</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Candy Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1</td>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1</td>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1</td>\n",
       "      <td>Harbourfront East, Union Station, Toronto Islands</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1</td>\n",
       "      <td>Kensington Market, Chinatown, Grange Park</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gaming Cafe</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Smoothie Shop</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Café</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1</td>\n",
       "      <td>Richmond, Adelaide, King</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>3</td>\n",
       "      <td>Rosedale</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1</td>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "      <td>Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1</td>\n",
       "      <td>Stn A PO Boxes</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1</td>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1</td>\n",
       "      <td>University of Toronto, Harbord</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "    Cluster Labels                                      Neighbourhood  \\\n",
       "0                1                                        Berczy Park   \n",
       "1                2  CN Tower, King and Spadina, Railway Lands, Har...   \n",
       "2                1                                 Central Bay Street   \n",
       "3                4                                           Christie   \n",
       "4                1                               Church and Wellesley   \n",
       "5                1                     Commerce Court, Victoria Hotel   \n",
       "6                1             First Canadian Place, Underground city   \n",
       "7                1                           Garden District, Ryerson   \n",
       "8                1  Harbourfront East, Union Station, Toronto Islands   \n",
       "9                1          Kensington Market, Chinatown, Grange Park   \n",
       "10               0        Queen's Park, Ontario Provincial Government   \n",
       "11               0                          Regent Park, Harbourfront   \n",
       "12               1                           Richmond, Adelaide, King   \n",
       "13               3                                           Rosedale   \n",
       "14               1                                     St. James Town   \n",
       "15               1                        St. James Town, Cabbagetown   \n",
       "16               1                                     Stn A PO Boxes   \n",
       "17               1           Toronto Dominion Centre, Design Exchange   \n",
       "18               1                     University of Toronto, Harbord   \n",
       "\n",
       "   1st Most Common Venue 2nd Most Common Venue          3rd Most Common Venue  \\\n",
       "0            Coffee Shop           Cheese Shop                         Bakery   \n",
       "1         Airport Lounge       Airport Service                Harbor / Marina   \n",
       "2            Coffee Shop                  Café                 Sandwich Place   \n",
       "3          Grocery Store                  Café                           Park   \n",
       "4            Coffee Shop   Japanese Restaurant                        Gay Bar   \n",
       "5            Coffee Shop            Restaurant                           Café   \n",
       "6            Coffee Shop                  Café                          Hotel   \n",
       "7         Clothing Store           Coffee Shop                           Café   \n",
       "8            Coffee Shop              Aquarium                          Hotel   \n",
       "9                    Bar    Mexican Restaurant  Vegetarian / Vegan Restaurant   \n",
       "10           Coffee Shop           Yoga Studio          Portuguese Restaurant   \n",
       "11           Coffee Shop                  Park                         Bakery   \n",
       "12           Coffee Shop                  Café                     Restaurant   \n",
       "13                  Park            Playground                          Trail   \n",
       "14           Coffee Shop                  Café                     Restaurant   \n",
       "15           Coffee Shop           Pizza Place                     Restaurant   \n",
       "16           Coffee Shop    Italian Restaurant                     Restaurant   \n",
       "17           Coffee Shop                 Hotel                     Restaurant   \n",
       "18                  Café             Bookstore                 Sandwich Place   \n",
       "\n",
       "   4th Most Common Venue        5th Most Common Venue  6th Most Common Venue  \\\n",
       "0           Cocktail Bar               Farmers Market     Seafood Restaurant   \n",
       "1                    Bar                  Coffee Shop                  Plane   \n",
       "2     Italian Restaurant                  Salad Place       Department Store   \n",
       "3            Candy Store                   Restaurant     Italian Restaurant   \n",
       "4       Sushi Restaurant                   Restaurant                    Pub   \n",
       "5                  Hotel                          Gym     Seafood Restaurant   \n",
       "6             Restaurant                          Gym    Japanese Restaurant   \n",
       "7         Cosmetics Shop              Bubble Tea Shop    Japanese Restaurant   \n",
       "8                   Café          Fried Chicken Joint         Scenic Lookout   \n",
       "9            Coffee Shop                         Café  Vietnamese Restaurant   \n",
       "10    Italian Restaurant                Smoothie Shop               Beer Bar   \n",
       "11                   Pub               Breakfast Spot                   Café   \n",
       "12                   Gym                          Bar                  Hotel   \n",
       "13         Deli / Bodega  Eastern European Restaurant    Dumpling Restaurant   \n",
       "14          Cocktail Bar                    Gastropub               Beer Bar   \n",
       "15                  Café           Chinese Restaurant                    Pub   \n",
       "16                  Café                     Beer Bar     Seafood Restaurant   \n",
       "17                  Café          American Restaurant     Seafood Restaurant   \n",
       "18                   Bar          Japanese Restaurant                 Bakery   \n",
       "\n",
       "   7th Most Common Venue     8th Most Common Venue 9th Most Common Venue  \\\n",
       "0               Beer Bar                Restaurant        Breakfast Spot   \n",
       "1    Rental Car Location          Sculpture Garden              Boutique   \n",
       "2    Japanese Restaurant           Bubble Tea Shop          Burger Joint   \n",
       "3             Baby Store        Athletics & Sports             Nightclub   \n",
       "4            Men's Store  Mediterranean Restaurant                 Hotel   \n",
       "5    Japanese Restaurant       American Restaurant         Deli / Bodega   \n",
       "6            Salad Place        Seafood Restaurant      Asian Restaurant   \n",
       "7              Bookstore                     Diner        Lingerie Store   \n",
       "8            Pizza Place                   Brewery            Restaurant   \n",
       "9                   Park               Gaming Cafe   Dumpling Restaurant   \n",
       "10        Sandwich Place                Restaurant   Distribution Center   \n",
       "11               Theater                Shoe Store               Brewery   \n",
       "12        Clothing Store           Thai Restaurant            Steakhouse   \n",
       "13            Donut Shop          Doner Restaurant               Dog Run   \n",
       "14   American Restaurant            Clothing Store        Cosmetics Shop   \n",
       "15    Italian Restaurant                    Bakery                  Park   \n",
       "16                   Pub                     Hotel   Japanese Restaurant   \n",
       "17           Salad Place       Japanese Restaurant                Bakery   \n",
       "18           Yoga Studio        Italian Restaurant              Beer Bar   \n",
       "\n",
       "   10th Most Common Venue  \n",
       "0           Shopping Mall  \n",
       "1           Boat or Ferry  \n",
       "2         Thai Restaurant  \n",
       "3             Coffee Shop  \n",
       "4             Yoga Studio  \n",
       "5            Cocktail Bar  \n",
       "6              Steakhouse  \n",
       "7      Italian Restaurant  \n",
       "8                    Park  \n",
       "9            Burger Joint  \n",
       "10                  Diner  \n",
       "11             Restaurant  \n",
       "12                 Office  \n",
       "13    Distribution Center  \n",
       "14     Seafood Restaurant  \n",
       "15                 Market  \n",
       "16            Cheese Shop  \n",
       "17       Asian Restaurant  \n",
       "18             Beer Store  "
      ]
     },
     "execution_count": 180,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "downtownT_merged = downtownT_data\n",
    "\n",
    "# merge downtownT_grouped with downtownT_data to add latitude/longitude for each neighborhood\n",
    "downtownT_merged = downtownT_merged.join(neighborhoods_venues_sorted.set_index('Neighbourhood'), on='Neighbourhood')\n",
    "\n",
    "#manhattan_merged.head() # check the last columns!\n",
    "neighborhoods_venues_sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's visualize the resulting clusters\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {},
   "outputs": [
    {
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                var html_1b524718185a43d0ad9fc14224159c10 = $('<div id="html_1b524718185a43d0ad9fc14224159c10" style="width: 100.0%; height: 100.0%;">Richmond, Adelaide, King Cluster 1</div>')[0];
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}
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}
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            circle_marker_353ed55b7aa44745a213420885ae2eb3.bindPopup(popup_fe66d097bf234bab822d6d2e4dfebfb4);

            
        
    
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}
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            var popup_df8be3dad0884ce79e6b12605e5090b8 = L.popup({maxWidth: '300'});

            
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}
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            var popup_85766dabaee44da8a2249101ed02104f = L.popup({maxWidth: '300'});

            
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            circle_marker_84cc514e5b724987bcc627f8f9356e3b.bindPopup(popup_85766dabaee44da8a2249101ed02104f);

            
        
    
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}
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            var popup_adf28580ce8a47e7a9f6c3bf3ce36ac4 = L.popup({maxWidth: '300'});

            
                var html_2d9d75d32ca7486ca52ebf00eb6ef0ac = $('<div id="html_2d9d75d32ca7486ca52ebf00eb6ef0ac" style="width: 100.0%; height: 100.0%;">Rosedale Cluster 3</div>')[0];
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            var circle_marker_4251266b38c8456294f94c6865b774d0 = L.circleMarker(
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}
                ).addTo(map_99898ff115484f9b8475389040ff67fb);
            
    
            var popup_c5cb10d2d80c4295a9aa9b15fa804ca1 = L.popup({maxWidth: '300'});

            
                var html_e73e627196cc41d4993f15169a76e8fa = $('<div id="html_e73e627196cc41d4993f15169a76e8fa" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes Cluster 1</div>')[0];
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}
                ).addTo(map_99898ff115484f9b8475389040ff67fb);
            
    
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                var html_7dc1858504674cc4bee23f843f9e82b1 = $('<div id="html_7dc1858504674cc4bee23f843f9e82b1" style="width: 100.0%; height: 100.0%;">St. James Town, Cabbagetown Cluster 1</div>')[0];
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  "fillOpacity": 0.7,
  "fillRule": "evenodd",
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}
                ).addTo(map_99898ff115484f9b8475389040ff67fb);
            
    
            var popup_3c500735f795466fa9dddeb4ba258f8b = L.popup({maxWidth: '300'});

            
                var html_b0570ed701cf4189ada68f8ffeaf77f9 = $('<div id="html_b0570ed701cf4189ada68f8ffeaf77f9" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city Cluster 1</div>')[0];
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            var circle_marker_ef119eb88ee2423485b6938a491f6460 = L.circleMarker(
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  "fill": true,
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  "fillRule": "evenodd",
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}
                ).addTo(map_99898ff115484f9b8475389040ff67fb);
            
    
            var popup_af8f03983ceb43e7bca3a6d2e862e1dc = L.popup({maxWidth: '300'});

            
                var html_1944a01257b64427b975116b5a59539a = $('<div id="html_1944a01257b64427b975116b5a59539a" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 1</div>')[0];
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            circle_marker_ef119eb88ee2423485b6938a491f6460.bindPopup(popup_af8f03983ceb43e7bca3a6d2e862e1dc);

            
        
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fd445239048>"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(downtownT_merged['Latitude'], downtownT_merged['Longitude'], downtownT_merged['Neighbourhood'], downtownT_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": [
    "## 5. Examine Clusters\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 182,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Café</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Smoothie Shop</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Diner</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",
       "\n",
       "  2nd Most Common Venue  3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Park                 Bakery                   Pub   \n",
       "1           Yoga Studio  Portuguese Restaurant    Italian Restaurant   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0        Breakfast Spot                  Café               Theater   \n",
       "1         Smoothie Shop              Beer Bar        Sandwich Place   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0            Shoe Store               Brewery             Restaurant  \n",
       "1            Restaurant   Distribution Center                  Diner  "
      ]
     },
     "execution_count": 182,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_merged.loc[downtownT_merged['Cluster Labels'] == 0, downtownT_merged.columns[[1] + list(range(5, downtownT_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 183,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Shopping Mall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Office</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gaming Cafe</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "      <td>Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "2   Downtown Toronto               1        Clothing Store   \n",
       "3   Downtown Toronto               1           Coffee Shop   \n",
       "4   Downtown Toronto               1           Coffee Shop   \n",
       "5   Downtown Toronto               1           Coffee Shop   \n",
       "7   Downtown Toronto               1           Coffee Shop   \n",
       "8   Downtown Toronto               1           Coffee Shop   \n",
       "9   Downtown Toronto               1           Coffee Shop   \n",
       "10  Downtown Toronto               1           Coffee Shop   \n",
       "11  Downtown Toronto               1                  Café   \n",
       "12  Downtown Toronto               1                   Bar   \n",
       "15  Downtown Toronto               1           Coffee Shop   \n",
       "16  Downtown Toronto               1           Coffee Shop   \n",
       "17  Downtown Toronto               1           Coffee Shop   \n",
       "18  Downtown Toronto               1           Coffee Shop   \n",
       "\n",
       "   2nd Most Common Venue          3rd Most Common Venue 4th Most Common Venue  \\\n",
       "2            Coffee Shop                           Café        Cosmetics Shop   \n",
       "3                   Café                     Restaurant          Cocktail Bar   \n",
       "4            Cheese Shop                         Bakery          Cocktail Bar   \n",
       "5                   Café                 Sandwich Place    Italian Restaurant   \n",
       "7                   Café                     Restaurant                   Gym   \n",
       "8               Aquarium                          Hotel                  Café   \n",
       "9                  Hotel                     Restaurant                  Café   \n",
       "10            Restaurant                           Café                 Hotel   \n",
       "11             Bookstore                 Sandwich Place                   Bar   \n",
       "12    Mexican Restaurant  Vegetarian / Vegan Restaurant           Coffee Shop   \n",
       "15    Italian Restaurant                     Restaurant                  Café   \n",
       "16           Pizza Place                     Restaurant                  Café   \n",
       "17                  Café                          Hotel            Restaurant   \n",
       "18   Japanese Restaurant                        Gay Bar      Sushi Restaurant   \n",
       "\n",
       "   5th Most Common Venue  6th Most Common Venue 7th Most Common Venue  \\\n",
       "2        Bubble Tea Shop    Japanese Restaurant             Bookstore   \n",
       "3              Gastropub               Beer Bar   American Restaurant   \n",
       "4         Farmers Market     Seafood Restaurant              Beer Bar   \n",
       "5            Salad Place       Department Store   Japanese Restaurant   \n",
       "7                    Bar                  Hotel        Clothing Store   \n",
       "8    Fried Chicken Joint         Scenic Lookout           Pizza Place   \n",
       "9    American Restaurant     Seafood Restaurant           Salad Place   \n",
       "10                   Gym     Seafood Restaurant   Japanese Restaurant   \n",
       "11   Japanese Restaurant                 Bakery           Yoga Studio   \n",
       "12                  Café  Vietnamese Restaurant                  Park   \n",
       "15              Beer Bar     Seafood Restaurant                   Pub   \n",
       "16    Chinese Restaurant                    Pub    Italian Restaurant   \n",
       "17                   Gym    Japanese Restaurant           Salad Place   \n",
       "18            Restaurant                    Pub           Men's Store   \n",
       "\n",
       "       8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "2                      Diner        Lingerie Store     Italian Restaurant  \n",
       "3             Clothing Store        Cosmetics Shop     Seafood Restaurant  \n",
       "4                 Restaurant        Breakfast Spot          Shopping Mall  \n",
       "5            Bubble Tea Shop          Burger Joint        Thai Restaurant  \n",
       "7            Thai Restaurant            Steakhouse                 Office  \n",
       "8                    Brewery            Restaurant                   Park  \n",
       "9        Japanese Restaurant                Bakery       Asian Restaurant  \n",
       "10       American Restaurant         Deli / Bodega           Cocktail Bar  \n",
       "11        Italian Restaurant              Beer Bar             Beer Store  \n",
       "12               Gaming Cafe   Dumpling Restaurant           Burger Joint  \n",
       "15                     Hotel   Japanese Restaurant            Cheese Shop  \n",
       "16                    Bakery                  Park                 Market  \n",
       "17        Seafood Restaurant      Asian Restaurant             Steakhouse  \n",
       "18  Mediterranean Restaurant                 Hotel            Yoga Studio  "
      ]
     },
     "execution_count": 183,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_merged.loc[downtownT_merged['Cluster Labels'] == 1, downtownT_merged.columns[[1] + list(range(5, downtownT_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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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",
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       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "    </tr>\n",
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       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "13  Downtown Toronto               2        Airport Lounge   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "13       Airport Service       Harbor / Marina                   Bar   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "13           Coffee Shop                 Plane   Rental Car Location   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "13      Sculpture Garden              Boutique          Boat or Ferry  "
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_merged.loc[downtownT_merged['Cluster Labels'] == 2, downtownT_merged.columns[[1] + list(range(5, downtownT_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>3rd Most Common Venue</th>\n",
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       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "14  Downtown Toronto               3                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "14            Playground                 Trail         Deli / Bodega   \n",
       "\n",
       "          5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "14  Eastern European Restaurant   Dumpling Restaurant            Donut Shop   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "14      Doner Restaurant               Dog Run    Distribution Center  "
      ]
     },
     "execution_count": 185,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_merged.loc[downtownT_merged['Cluster Labels'] == 3, downtownT_merged.columns[[1] + list(range(5, downtownT_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Candy Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "6  Downtown Toronto               4         Grocery Store   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "6                  Café                  Park           Candy Store   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "6            Restaurant    Italian Restaurant            Baby Store   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "6    Athletics & Sports             Nightclub            Coffee Shop  "
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "downtownT_merged.loc[downtownT_merged['Cluster Labels'] == 4, downtownT_merged.columns[[1] + list(range(5, downtownT_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center> --------Thanks for your review and your patience--------- </center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center> <img src=\"minions.jpg\" width=360 height=360 /> </center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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