Week_2_Assignment.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clustering of Toronto's Neighbourhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 1 - Scraping and Cleaning Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import Canadian postal codes from url using Pandas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[    Postcode           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           Harbourfront\n",
       " ..       ...               ...                    ...\n",
       " 283      M8Z         Etobicoke              Mimico NW\n",
       " 284      M8Z         Etobicoke     The Queensway West\n",
       " 285      M8Z         Etobicoke  Royal York South West\n",
       " 286      M8Z         Etobicoke         South of Bloor\n",
       " 287      M9Z      Not assigned           Not assigned\n",
       " \n",
       " [288 rows x 3 columns],\n",
       "                                                   0   \\\n",
       " 0                                                NaN   \n",
       " 1  NL NS PE NB QC ON MB SK AB BC NU/NT YT A B C E...   \n",
       " 2                                                 NL   \n",
       " 3                                                  A   \n",
       " \n",
       "                                                   1   \\\n",
       " 0                              Canadian postal codes   \n",
       " 1  NL NS PE NB QC ON MB SK AB BC NU/NT YT A B C E...   \n",
       " 2                                                 NS   \n",
       " 3                                                  B   \n",
       " \n",
       "                                                   2    3    4    5    6    7   \\\n",
       " 0                                                NaN  NaN  NaN  NaN  NaN  NaN   \n",
       " 1  NL NS PE NB QC ON MB SK AB BC NU/NT YT A B C E...  NaN  NaN  NaN  NaN  NaN   \n",
       " 2                                                 PE   NB   QC   QC   QC   ON   \n",
       " 3                                                  C    E    G    H    J    K   \n",
       " \n",
       "     8    9    10   11   12   13   14   15     16   17  \n",
       " 0  NaN  NaN  NaN  NaN  NaN  NaN  NaN  NaN    NaN  NaN  \n",
       " 1  NaN  NaN  NaN  NaN  NaN  NaN  NaN  NaN    NaN  NaN  \n",
       " 2   ON   ON   ON   ON   MB   SK   AB   BC  NU/NT   YT  \n",
       " 3    L    M    N    P    R    S    T    V      X    Y  ,\n",
       "    0   1   2   3   4   5   6   7   8   9   10  11  12  13  14  15     16  17\n",
       " 0  NL  NS  PE  NB  QC  QC  QC  ON  ON  ON  ON  ON  MB  SK  AB  BC  NU/NT  YT\n",
       " 1   A   B   C   E   G   H   J   K   L   M   N   P   R   S   T   V      X   Y]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_html('https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M')\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only the first table in the dataframe is of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>283</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Mimico NW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>284</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>The Queensway West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>285</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Royal York South West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>286</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>South of Bloor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>287</td>\n",
       "      <td>M9Z</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>288 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postcode           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           Harbourfront\n",
       "..       ...               ...                    ...\n",
       "283      M8Z         Etobicoke              Mimico NW\n",
       "284      M8Z         Etobicoke     The Queensway West\n",
       "285      M8Z         Etobicoke  Royal York South West\n",
       "286      M8Z         Etobicoke         South of Bloor\n",
       "287      M9Z      Not assigned           Not assigned\n",
       "\n",
       "[288 rows x 3 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df[0]\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataframe has the requested three columns: PostalCode, Borough, and Neighbourhood"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Only interested in cells that have an assigned borough. Cells with a borough that is Not assigned are dropped."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Int64Index([  0,   1,   9,  13,  20,  21,  30,  36,  37,  45,  46,  50,  51,\n",
       "             52,  54,  55,  59,  60,  61,  73,  74,  75,  88,  89,  90, 104,\n",
       "            105, 106, 120, 121, 136, 137, 148, 149, 155, 161, 162, 167, 175,\n",
       "            181, 182, 188, 189, 190, 194, 195, 201, 202, 203, 204, 209, 210,\n",
       "            223, 224, 237, 238, 241, 242, 247, 248, 253, 254, 258, 259, 260,\n",
       "            261, 263, 264, 274, 275, 276, 277, 278, 279, 280, 281, 287],\n",
       "           dtype='int64')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "indexes_to_drop = df.index[df['Borough'] == 'Not assigned']\n",
    "indexes_to_drop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>282</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Kingsway Park South West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>283</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Mimico NW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>284</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>The Queensway West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>285</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Royal York South West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>286</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>South of Bloor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>211 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postcode           Borough             Neighbourhood\n",
       "2        M3A        North York                 Parkwoods\n",
       "3        M4A        North York          Victoria Village\n",
       "4        M5A  Downtown Toronto              Harbourfront\n",
       "5        M5A  Downtown Toronto               Regent Park\n",
       "6        M6A        North York          Lawrence Heights\n",
       "..       ...               ...                       ...\n",
       "282      M8Z         Etobicoke  Kingsway Park South West\n",
       "283      M8Z         Etobicoke                 Mimico NW\n",
       "284      M8Z         Etobicoke        The Queensway West\n",
       "285      M8Z         Etobicoke     Royal York South West\n",
       "286      M8Z         Etobicoke            South of Bloor\n",
       "\n",
       "[211 rows x 3 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.drop(indexes_to_drop, inplace=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When more than one Neighbourhood exist in one postal code area the rows are to be combined into one row with the Neighbourhoods separated by a comma."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_grouped = df.groupby(['Postcode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postcode</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>M1B</td>\n",
       "      <td>[Scarborough, Scarborough]</td>\n",
       "      <td>[Rouge, Malvern]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1C</td>\n",
       "      <td>[Scarborough, Scarborough, Scarborough]</td>\n",
       "      <td>[Highland Creek, Rouge Hill, Port Union]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1E</td>\n",
       "      <td>[Scarborough, Scarborough, Scarborough]</td>\n",
       "      <td>[Guildwood, Morningside, West Hill]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1G</td>\n",
       "      <td>[Scarborough]</td>\n",
       "      <td>[Woburn]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1H</td>\n",
       "      <td>[Scarborough]</td>\n",
       "      <td>[Cedarbrae]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9N</td>\n",
       "      <td>[York]</td>\n",
       "      <td>[Weston]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9P</td>\n",
       "      <td>[Etobicoke]</td>\n",
       "      <td>[Westmount]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9R</td>\n",
       "      <td>[Etobicoke, Etobicoke, Etobicoke, Etobicoke]</td>\n",
       "      <td>[Kingsview Village, Martin Grove Gardens, Rich...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9V</td>\n",
       "      <td>[Etobicoke, Etobicoke, Etobicoke, Etobicoke, E...</td>\n",
       "      <td>[Albion Gardens, Beaumond Heights, Humbergate,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9W</td>\n",
       "      <td>[Etobicoke]</td>\n",
       "      <td>[Northwest]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Borough  \\\n",
       "Postcode                                                      \n",
       "M1B                              [Scarborough, Scarborough]   \n",
       "M1C                 [Scarborough, Scarborough, Scarborough]   \n",
       "M1E                 [Scarborough, Scarborough, Scarborough]   \n",
       "M1G                                           [Scarborough]   \n",
       "M1H                                           [Scarborough]   \n",
       "...                                                     ...   \n",
       "M9N                                                  [York]   \n",
       "M9P                                             [Etobicoke]   \n",
       "M9R            [Etobicoke, Etobicoke, Etobicoke, Etobicoke]   \n",
       "M9V       [Etobicoke, Etobicoke, Etobicoke, Etobicoke, E...   \n",
       "M9W                                             [Etobicoke]   \n",
       "\n",
       "                                              Neighbourhood  \n",
       "Postcode                                                     \n",
       "M1B                                        [Rouge, Malvern]  \n",
       "M1C                [Highland Creek, Rouge Hill, Port Union]  \n",
       "M1E                     [Guildwood, Morningside, West Hill]  \n",
       "M1G                                                [Woburn]  \n",
       "M1H                                             [Cedarbrae]  \n",
       "...                                                     ...  \n",
       "M9N                                                [Weston]  \n",
       "M9P                                             [Westmount]  \n",
       "M9R       [Kingsview Village, Martin Grove Gardens, Rich...  \n",
       "M9V       [Albion Gardens, Beaumond Heights, Humbergate,...  \n",
       "M9W                                             [Northwest]  \n",
       "\n",
       "[103 rows x 2 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighbourhoods = df_grouped.agg(list)\n",
    "Neighbourhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "avoid the repeating lists in Borough by replacing the column with the first list value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postcode</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>[Rouge, Malvern]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>[Highland Creek, Rouge Hill, Port Union]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>[Guildwood, Morningside, West Hill]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>[Woburn]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>[Cedarbrae]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9N</td>\n",
       "      <td>York</td>\n",
       "      <td>[Weston]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9P</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>[Westmount]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9R</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>[Kingsview Village, Martin Grove Gardens, Rich...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>[Albion Gardens, Beaumond Heights, Humbergate,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>[Northwest]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Borough                                      Neighbourhood\n",
       "Postcode                                                                \n",
       "M1B       Scarborough                                   [Rouge, Malvern]\n",
       "M1C       Scarborough           [Highland Creek, Rouge Hill, Port Union]\n",
       "M1E       Scarborough                [Guildwood, Morningside, West Hill]\n",
       "M1G       Scarborough                                           [Woburn]\n",
       "M1H       Scarborough                                        [Cedarbrae]\n",
       "...               ...                                                ...\n",
       "M9N              York                                           [Weston]\n",
       "M9P         Etobicoke                                        [Westmount]\n",
       "M9R         Etobicoke  [Kingsview Village, Martin Grove Gardens, Rich...\n",
       "M9V         Etobicoke  [Albion Gardens, Beaumond Heights, Humbergate,...\n",
       "M9W         Etobicoke                                        [Northwest]\n",
       "\n",
       "[103 rows x 2 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighbourhoods['Borough'] = Neighbourhoods['Borough'].apply(lambda x: x[0])\n",
    "Neighbourhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "change the Neighbourhood column content from a list to a joined string"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>Neighbourhood</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postcode</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9N</td>\n",
       "      <td>York</td>\n",
       "      <td>Weston</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9P</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Westmount</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9R</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Kingsview Village, Martin Grove Gardens, Richv...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Albion Gardens, Beaumond Heights, Humbergate, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>M9W</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Northwest</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Borough                                      Neighbourhood\n",
       "Postcode                                                                \n",
       "M1B       Scarborough                                     Rouge, Malvern\n",
       "M1C       Scarborough             Highland Creek, Rouge Hill, Port Union\n",
       "M1E       Scarborough                  Guildwood, Morningside, West Hill\n",
       "M1G       Scarborough                                             Woburn\n",
       "M1H       Scarborough                                          Cedarbrae\n",
       "...               ...                                                ...\n",
       "M9N              York                                             Weston\n",
       "M9P         Etobicoke                                          Westmount\n",
       "M9R         Etobicoke  Kingsview Village, Martin Grove Gardens, Richv...\n",
       "M9V         Etobicoke  Albion Gardens, Beaumond Heights, Humbergate, ...\n",
       "M9W         Etobicoke                                          Northwest\n",
       "\n",
       "[103 rows x 2 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighbourhoods['Neighbourhood'] = Neighbourhoods['Neighbourhood'].apply(lambda x: ', '.join(x))\n",
    "Neighbourhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If a cell has a borough but a 'Not assigned' Neighbourhood, then the Neighbourhood should be set equal the borough."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check for incidences of Neighbourhood = 'Not assigned':"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['M7A'], dtype='object', name='Postcode')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "NA_indexes = Neighbourhoods.index[Neighbourhoods['Neighbourhood'] == 'Not assigned']\n",
    "NA_indexes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>Neighbourhood</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postcode</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>M7A</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Borough Neighbourhood\n",
       "Postcode                            \n",
       "M7A       Queen's Park  Not assigned"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighbourhoods.loc[NA_indexes, :]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One incidence was found and is being fixed manually below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postcode</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>M7A</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Queen's Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Borough Neighbourhood\n",
       "Postcode                            \n",
       "M7A       Queen's Park  Queen's Park"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighbourhoods.at['M7A', 'Neighbourhood'] = \"Queen's Park\"\n",
    "Neighbourhoods.loc[['M7A'], :]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The requested dataframe have now been generated. However due to row indexing differences the following extract is made for easy comparision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M2H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Hillcrest Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M4B</td>\n",
       "      <td>East York</td>\n",
       "      <td>Woodbine Gardens, Parkview Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M4G</td>\n",
       "      <td>East York</td>\n",
       "      <td>Leaside</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M1R</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Maryvale, Wexford</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>M9V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Albion Gardens, Beaumond Heights, Humbergate, ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>M9L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Humber Summit</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode           Borough  \\\n",
       "0       M5G  Downtown Toronto   \n",
       "1       M2H        North York   \n",
       "2       M4B         East York   \n",
       "3       M1J       Scarborough   \n",
       "4       M4G         East York   \n",
       "5       M4M      East Toronto   \n",
       "6       M1R       Scarborough   \n",
       "7       M9V         Etobicoke   \n",
       "8       M9L        North York   \n",
       "9       M5V  Downtown Toronto   \n",
       "10      M1B       Scarborough   \n",
       "11      M5A  Downtown Toronto   \n",
       "\n",
       "                                        Neighbourhood  \n",
       "0                                  Central Bay Street  \n",
       "1                                   Hillcrest Village  \n",
       "2                     Woodbine Gardens, Parkview Hill  \n",
       "3                                 Scarborough Village  \n",
       "4                                             Leaside  \n",
       "5                                     Studio District  \n",
       "6                                   Maryvale, Wexford  \n",
       "7   Albion Gardens, Beaumond Heights, Humbergate, ...  \n",
       "8                                       Humber Summit  \n",
       "9   CN Tower, Bathurst Quay, Island airport, Harbo...  \n",
       "10                                     Rouge, Malvern  \n",
       "11                          Harbourfront, Regent Park  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighbourhoods.loc[['M5G', 'M2H', 'M4B', 'M1J', 'M4G', 'M4M', 'M1R', 'M9V', 'M9L', 'M5V', 'M1B', 'M5A'], :].reset_index()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "as requested please find the shape of the dataframe below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighbourhoods.reset_index().shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 2 - Add Geospatial Coordinates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load the Geospatial Coordinates into a Pandas dataframe via the provided .csv file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal Code   Latitude  Longitude\n",
       "0         M1B  43.806686 -79.194353\n",
       "1         M1C  43.784535 -79.160497\n",
       "2         M1E  43.763573 -79.188711\n",
       "3         M1G  43.770992 -79.216917\n",
       "4         M1H  43.773136 -79.239476"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('Geospatial_Coordinates.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "rename 'Postal Code' column so it matches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.rename(columns={'Postal Code':'Postcode'}, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "add the coordinates to the dataframe by joining the two tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "Neighbourhoods = Neighbourhoods.join(df.set_index('Postcode'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The requested dataframe have now been generated. However due to row indexing differences the following extract is made for easy comparision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>Postcode</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",
       "      <td>0</td>\n",
       "      <td>M5G</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>43.657952</td>\n",
       "      <td>-79.387383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M2H</td>\n",
       "      <td>North York</td>\n",
       "      <td>Hillcrest Village</td>\n",
       "      <td>43.803762</td>\n",
       "      <td>-79.363452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M4B</td>\n",
       "      <td>East York</td>\n",
       "      <td>Woodbine Gardens, Parkview Hill</td>\n",
       "      <td>43.706397</td>\n",
       "      <td>-79.309937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>43.744734</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M4G</td>\n",
       "      <td>East York</td>\n",
       "      <td>Leaside</td>\n",
       "      <td>43.709060</td>\n",
       "      <td>-79.363452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>M4M</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>43.659526</td>\n",
       "      <td>-79.340923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M1R</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Maryvale, Wexford</td>\n",
       "      <td>43.750072</td>\n",
       "      <td>-79.295849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>M9V</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Albion Gardens, Beaumond Heights, Humbergate, ...</td>\n",
       "      <td>43.739416</td>\n",
       "      <td>-79.588437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>M9L</td>\n",
       "      <td>North York</td>\n",
       "      <td>Humber Summit</td>\n",
       "      <td>43.756303</td>\n",
       "      <td>-79.565963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>M5V</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>43.628947</td>\n",
       "      <td>-79.394420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode           Borough  \\\n",
       "0       M5G  Downtown Toronto   \n",
       "1       M2H        North York   \n",
       "2       M4B         East York   \n",
       "3       M1J       Scarborough   \n",
       "4       M4G         East York   \n",
       "5       M4M      East Toronto   \n",
       "6       M1R       Scarborough   \n",
       "7       M9V         Etobicoke   \n",
       "8       M9L        North York   \n",
       "9       M5V  Downtown Toronto   \n",
       "10      M1B       Scarborough   \n",
       "11      M5A  Downtown Toronto   \n",
       "\n",
       "                                        Neighbourhood   Latitude  Longitude  \n",
       "0                                  Central Bay Street  43.657952 -79.387383  \n",
       "1                                   Hillcrest Village  43.803762 -79.363452  \n",
       "2                     Woodbine Gardens, Parkview Hill  43.706397 -79.309937  \n",
       "3                                 Scarborough Village  43.744734 -79.239476  \n",
       "4                                             Leaside  43.709060 -79.363452  \n",
       "5                                     Studio District  43.659526 -79.340923  \n",
       "6                                   Maryvale, Wexford  43.750072 -79.295849  \n",
       "7   Albion Gardens, Beaumond Heights, Humbergate, ...  43.739416 -79.588437  \n",
       "8                                       Humber Summit  43.756303 -79.565963  \n",
       "9   CN Tower, Bathurst Quay, Island airport, Harbo...  43.628947 -79.394420  \n",
       "10                                     Rouge, Malvern  43.806686 -79.194353  \n",
       "11                          Harbourfront, Regent Park  43.654260 -79.360636  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighbourhoods.loc[['M5G', 'M2H', 'M4B', 'M1J', 'M4G', 'M4M', 'M1R', 'M9V', 'M9L', 'M5V', 'M1B', 'M5A'], :].reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "Neighbourhoods.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Part 3 - Cluster Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Exploration and clustering of the neighbourhoods in Toronto. The analysis is by far a replicate of the NY analysis in the exercise module."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "import folium # map rendering library\n",
    "import requests # library to handle requests\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
    "from sklearn.cluster import KMeans # import k-means from clustering stage\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Use geopy library to get the latitude and longitude values of Toronto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.7189883, -79.44157.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto City, CA'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"city_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": [
    "#### Map of Toronto with Neighbourhoods superimposed on top"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1eae7623b38>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Toronto using latitude and longitude values\n",
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=11)\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": "markdown",
   "metadata": {},
   "source": [
    "For now all the neighbourhoods are considered."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#toronto_data = Neighbourhoods[Neighbourhoods['Borough'].str.contains(\"Toronto\")].reset_index(drop=True)\n",
    "#toronto_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define Foursquare Credentials and Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: QUYUMKRM1VQVFX1G0I5G5SJFJB4PHR3T1VQMHUW1COOD5UEJ\n",
      "CLIENT_SECRET:KCN02PP1RIXEKIGXSHITULMECMZJ1Q3LDJVBICDX1L1GKPR5\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'QUYUMKRM1VQVFX1G0I5G5SJFJB4PHR3T1VQMHUW1COOD5UEJ' # your Foursquare ID\n",
    "CLIENT_SECRET = 'KCN02PP1RIXEKIGXSHITULMECMZJ1Q3LDJVBICDX1L1GKPR5' # your Foursquare Secret\n",
    "VERSION = '20190825' # Foursquare API version\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Get the top 100 venues that are within a radius of 500 meters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "input parameters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "LIMIT = 100 # limit of number of venues returned by Foursquare API\n",
    "radius = 500 # define radius"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "defines the function that extracts the 100 venues for each neighbourhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighbourhood', \n",
    "                  'Neighbourhood Latitude', \n",
    "                  'Neighbourhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "excecute the above function on each Neighbourhood and create a new dataframe called *toronto_venues*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rouge, Malvern\n",
      "Highland Creek, Rouge Hill, Port Union\n",
      "Guildwood, Morningside, West Hill\n",
      "Woburn\n",
      "Cedarbrae\n",
      "Scarborough Village\n",
      "East Birchmount Park, Ionview, Kennedy Park\n",
      "Clairlea, Golden Mile, Oakridge\n",
      "Cliffcrest, Cliffside, Scarborough Village West\n",
      "Birch Cliff, Cliffside West\n",
      "Dorset Park, Scarborough Town Centre, Wexford Heights\n",
      "Maryvale, Wexford\n",
      "Agincourt\n",
      "Clarks Corners, Sullivan, Tam O'Shanter\n",
      "Agincourt North, L'Amoreaux East, Milliken, Steeles East\n",
      "L'Amoreaux West\n",
      "Upper Rouge\n",
      "Hillcrest Village\n",
      "Fairview, Henry Farm, Oriole\n",
      "Bayview Village\n",
      "Silver Hills, York Mills\n",
      "Newtonbrook, Willowdale\n",
      "Willowdale South\n",
      "York Mills West\n",
      "Willowdale West\n",
      "Parkwoods\n",
      "Don Mills North\n",
      "Flemingdon Park, Don Mills South\n",
      "Bathurst Manor, Downsview North, Wilson Heights\n",
      "Northwood Park, York University\n",
      "CFB Toronto, Downsview East\n",
      "Downsview West\n",
      "Downsview Central\n",
      "Downsview Northwest\n",
      "Victoria Village\n",
      "Woodbine Gardens, Parkview Hill\n",
      "Woodbine Heights\n",
      "The Beaches\n",
      "Leaside\n",
      "Thorncliffe Park\n",
      "East Toronto\n",
      "The Danforth West, Riverdale\n",
      "The Beaches West, India Bazaar\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Davisville North\n",
      "North Toronto West\n",
      "Davisville\n",
      "Moore Park, Summerhill East\n",
      "Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West\n",
      "Rosedale\n",
      "Cabbagetown, St. James Town\n",
      "Church and Wellesley\n",
      "Harbourfront, Regent Park\n",
      "Ryerson, Garden District\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Adelaide, King, Richmond\n",
      "Harbourfront East, Toronto Islands, Union Station\n",
      "Design Exchange, Toronto Dominion Centre\n",
      "Commerce Court, Victoria Hotel\n",
      "Bedford Park, Lawrence Manor East\n",
      "Roselawn\n",
      "Forest Hill North, Forest Hill West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Harbord, University of Toronto\n",
      "Chinatown, Grange Park, Kensington Market\n",
      "CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "First Canadian Place, Underground city\n",
      "Lawrence Heights, Lawrence Manor\n",
      "Glencairn\n",
      "Humewood-Cedarvale\n",
      "Caledonia-Fairbanks\n",
      "Christie\n",
      "Dovercourt Village, Dufferin\n",
      "Little Portugal, Trinity\n",
      "Brockton, Exhibition Place, Parkdale Village\n",
      "Downsview, North Park, Upwood Park\n",
      "Del Ray, Keelesdale, Mount Dennis, Silverthorn\n",
      "The Junction North, Runnymede\n",
      "High Park, The Junction South\n",
      "Parkdale, Roncesvalles\n",
      "Runnymede, Swansea\n",
      "Queen's Park\n",
      "Canada Post Gateway Processing Centre\n",
      "Business Reply Mail Processing Centre 969 Eastern\n",
      "Humber Bay Shores, Mimico South, New Toronto\n",
      "Alderwood, Long Branch\n",
      "The Kingsway, Montgomery Road, Old Mill North\n",
      "Humber Bay, King's Mill Park, Kingsway Park South East, Mimico NE, Old Mill South, The Queensway East, Royal York South East, Sunnylea\n",
      "Kingsway Park South West, Mimico NW, The Queensway West, Royal York South West, South of Bloor\n",
      "Islington Avenue\n",
      "Cloverdale, Islington, Martin Grove, Princess Gardens, West Deane Park\n",
      "Bloordale Gardens, Eringate, Markland Wood, Old Burnhamthorpe\n",
      "Humber Summit\n",
      "Emery, Humberlea\n",
      "Weston\n",
      "Westmount\n",
      "Kingsview Village, Martin Grove Gardens, Richview Gardens, St. Phillips\n",
      "Albion Gardens, Beaumond Heights, Humbergate, Jamestown, Mount Olive, Silverstone, South Steeles, Thistletown\n",
      "Northwest\n"
     ]
    }
   ],
   "source": [
    "toronto_venues = getNearbyVenues(names=Neighbourhoods['Neighbourhood'],\n",
    "                                   latitudes=Neighbourhoods['Latitude'],\n",
    "                                   longitudes=Neighbourhoods['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Evaluate the dataframe content"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2248, 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>Neighbourhood Latitude</th>\n",
       "      <th>Neighbourhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "      <td>Wendy's</td>\n",
       "      <td>43.807448</td>\n",
       "      <td>-79.199056</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>RIGHT WAY TO GOLF</td>\n",
       "      <td>43.785177</td>\n",
       "      <td>-79.161108</td>\n",
       "      <td>Golf Course</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>Royal Canadian Legion</td>\n",
       "      <td>43.782533</td>\n",
       "      <td>-79.163085</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>Swiss Chalet Rotisserie &amp; Grill</td>\n",
       "      <td>43.767697</td>\n",
       "      <td>-79.189914</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>G &amp; G Electronics</td>\n",
       "      <td>43.765309</td>\n",
       "      <td>-79.191537</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            Neighbourhood  Neighbourhood Latitude  \\\n",
       "0                          Rouge, Malvern               43.806686   \n",
       "1  Highland Creek, Rouge Hill, Port Union               43.784535   \n",
       "2  Highland Creek, Rouge Hill, Port Union               43.784535   \n",
       "3       Guildwood, Morningside, West Hill               43.763573   \n",
       "4       Guildwood, Morningside, West Hill               43.763573   \n",
       "\n",
       "   Neighbourhood Longitude                            Venue  Venue Latitude  \\\n",
       "0               -79.194353                          Wendy's       43.807448   \n",
       "1               -79.160497                RIGHT WAY TO GOLF       43.785177   \n",
       "2               -79.160497            Royal Canadian Legion       43.782533   \n",
       "3               -79.188711  Swiss Chalet Rotisserie & Grill       43.767697   \n",
       "4               -79.188711                G & G Electronics       43.765309   \n",
       "\n",
       "   Venue Longitude        Venue Category  \n",
       "0       -79.199056  Fast Food Restaurant  \n",
       "1       -79.161108           Golf Course  \n",
       "2       -79.163085                   Bar  \n",
       "3       -79.189914           Pizza Place  \n",
       "4       -79.191537     Electronics Store  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(toronto_venues.shape)\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "check if all Neighbourhood are still represented"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100,)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues['Neighbourhood'].unique().shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Three neighbourhood are missing because they did not have any venues within the specified radius."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's check how many venues were returned for each Neighbourhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighbourhood Latitude</th>\n",
       "      <th>Neighbourhood 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",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>St. James Town</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Central Bay Street</td>\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",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Fairview, Henry Farm, Oriole</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Harbourfront, Regent Park</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Studio District</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Willowdale South</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Davisville</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Leaside</td>\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",
       "    <tr>\n",
       "      <td>Harbord, University of Toronto</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Flemingdon Park, Don Mills South</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Bathurst Manor, Downsview North, Wilson Heights</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Thorncliffe Park</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Christie</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Humber Bay Shores, Mimico South, New Toronto</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Dovercourt Village, Dufferin</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>L'Amoreaux West</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Kingsway Park South West, Mimico NW, The Queensway West, Royal York South West, South of Bloor</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Lawrence Heights, Lawrence Manor</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Canada Post Gateway Processing Centre</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Woodbine Gardens, Parkview Hill</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Woodbine Heights</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Clarks Corners, Sullivan, Tam O'Shanter</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Clairlea, Golden Mile, Oakridge</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Albion Gardens, Beaumond Heights, Humbergate, Jamestown, Mount Olive, Silverstone, South Steeles, Thistletown</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Davisville North</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Willowdale West</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Dorset Park, Scarborough Town Centre, Wexford Heights</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Bloordale Gardens, Eringate, Markland Wood, Old Burnhamthorpe</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Westmount</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Northwood Park, York University</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Del Ray, Keelesdale, Mount Dennis, Silverthorn</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Downsview West</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rosedale</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Maryvale, Wexford</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Hillcrest Village</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Caledonia-Fairbanks</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Don Mills North</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Glencairn</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>East Birchmount Park, Ionview, Kennedy Park</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>The Junction North, Runnymede</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Kingsview Village, Martin Grove Gardens, Richview Gardens, St. Phillips</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>The Beaches</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Downsview, North Park, Upwood Park</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Downsview Northwest</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Forest Hill North, Forest Hill West</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Agincourt</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Birch Cliff, Cliffside West</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Humewood-Cedarvale</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>East Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Downsview Central</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Woburn</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>CFB Toronto, Downsview East</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>York Mills West</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Agincourt North, L'Amoreaux East, Milliken, Steeles East</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Humber Bay, King's Mill Park, Kingsway Park South East, Mimico NE, Old Mill South, The Queensway East, Royal York South East, Sunnylea</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Humber Summit</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Silver Hills, York Mills</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Highland Creek, Rouge Hill, Port Union</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Cloverdale, Islington, Martin Grove, Princess Gardens, West Deane Park</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Cliffcrest, Cliffside, Scarborough Village West</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Northwest</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rouge, Malvern</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Roselawn</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Weston</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Emery, Humberlea</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighbourhood Latitude  \\\n",
       "Neighbourhood                                                                \n",
       "Adelaide, King, Richmond                                               100   \n",
       "Chinatown, Grange Park, Kensington Market                              100   \n",
       "St. James Town                                                         100   \n",
       "Ryerson, Garden District                                               100   \n",
       "First Canadian Place, Underground city                                 100   \n",
       "Design Exchange, Toronto Dominion Centre                               100   \n",
       "Commerce Court, Victoria Hotel                                         100   \n",
       "Harbourfront East, Toronto Islands, Union Station                      100   \n",
       "Stn A PO Boxes 25 The Esplanade                                         98   \n",
       "Church and Wellesley                                                    86   \n",
       "Central Bay Street                                                      85   \n",
       "Little Portugal, Trinity                                                64   \n",
       "Fairview, Henry Farm, Oriole                                            62   \n",
       "Berczy Park                                                             57   \n",
       "Harbourfront, Regent Park                                               50   \n",
       "Cabbagetown, St. James Town                                             49   \n",
       "The Danforth West, Riverdale                                            43   \n",
       "Studio District                                                         39   \n",
       "Queen's Park                                                            39   \n",
       "Willowdale South                                                        36   \n",
       "Davisville                                                              35   \n",
       "Runnymede, Swansea                                                      35   \n",
       "Leaside                                                                 34   \n",
       "Harbord, University of Toronto                                          33   \n",
       "High Park, The Junction South                                           24   \n",
       "The Annex, North Midtown, Yorkville                                     24   \n",
       "Bedford Park, Lawrence Manor East                                       22   \n",
       "Flemingdon Park, Don Mills South                                        21   \n",
       "North Toronto West                                                      21   \n",
       "Brockton, Exhibition Place, Parkdale Village                            20   \n",
       "The Beaches West, India Bazaar                                          19   \n",
       "Bathurst Manor, Downsview North, Wilson Heights                         19   \n",
       "Business Reply Mail Processing Centre 969 Eastern                       19   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...                      17   \n",
       "Thorncliffe Park                                                        16   \n",
       "Christie                                                                15   \n",
       "Parkdale, Roncesvalles                                                  15   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...                      15   \n",
       "Humber Bay Shores, Mimico South, New Toronto                            14   \n",
       "Dovercourt Village, Dufferin                                            14   \n",
       "L'Amoreaux West                                                         13   \n",
       "Kingsway Park South West, Mimico NW, The Queens...                      12   \n",
       "Lawrence Heights, Lawrence Manor                                        11   \n",
       "Canada Post Gateway Processing Centre                                   11   \n",
       "Woodbine Gardens, Parkview Hill                                         11   \n",
       "Woodbine Heights                                                        10   \n",
       "Clarks Corners, Sullivan, Tam O'Shanter                                 10   \n",
       "Alderwood, Long Branch                                                  10   \n",
       "Clairlea, Golden Mile, Oakridge                                          9   \n",
       "Albion Gardens, Beaumond Heights, Humbergate, J...                       9   \n",
       "Davisville North                                                         9   \n",
       "Cedarbrae                                                                8   \n",
       "Guildwood, Morningside, West Hill                                        7   \n",
       "Willowdale West                                                          7   \n",
       "Dorset Park, Scarborough Town Centre, Wexford H...                       7   \n",
       "Bloordale Gardens, Eringate, Markland Wood, Old...                       7   \n",
       "Westmount                                                                6   \n",
       "Northwood Park, York University                                          6   \n",
       "Del Ray, Keelesdale, Mount Dennis, Silverthorn                           6   \n",
       "Downsview West                                                           6   \n",
       "Rosedale                                                                 5   \n",
       "Maryvale, Wexford                                                        5   \n",
       "Victoria Village                                                         5   \n",
       "Hillcrest Village                                                        5   \n",
       "Caledonia-Fairbanks                                                      5   \n",
       "Don Mills North                                                          5   \n",
       "Glencairn                                                                5   \n",
       "East Birchmount Park, Ionview, Kennedy Park                              5   \n",
       "Lawrence Park                                                            4   \n",
       "The Junction North, Runnymede                                            4   \n",
       "Kingsview Village, Martin Grove Gardens, Richvi...                       4   \n",
       "The Beaches                                                              4   \n",
       "Downsview, North Park, Upwood Park                                       4   \n",
       "Downsview Northwest                                                      4   \n",
       "Forest Hill North, Forest Hill West                                      4   \n",
       "Agincourt                                                                4   \n",
       "The Kingsway, Montgomery Road, Old Mill North                            4   \n",
       "Birch Cliff, Cliffside West                                              4   \n",
       "Bayview Village                                                          4   \n",
       "Humewood-Cedarvale                                                       4   \n",
       "East Toronto                                                             4   \n",
       "Downsview Central                                                        3   \n",
       "Woburn                                                                   3   \n",
       "CFB Toronto, Downsview East                                              3   \n",
       "York Mills West                                                          3   \n",
       "Agincourt North, L'Amoreaux East, Milliken, Ste...                       3   \n",
       "Scarborough Village                                                      3   \n",
       "Humber Bay, King's Mill Park, Kingsway Park Sou...                       3   \n",
       "Humber Summit                                                            3   \n",
       "Silver Hills, York Mills                                                 2   \n",
       "Highland Creek, Rouge Hill, Port Union                                   2   \n",
       "Parkwoods                                                                2   \n",
       "Cloverdale, Islington, Martin Grove, Princess G...                       2   \n",
       "Cliffcrest, Cliffside, Scarborough Village West                          2   \n",
       "Northwest                                                                2   \n",
       "Rouge, Malvern                                                           1   \n",
       "Roselawn                                                                 1   \n",
       "Weston                                                                   1   \n",
       "Moore Park, Summerhill East                                              1   \n",
       "Emery, Humberlea                                                         1   \n",
       "\n",
       "                                                    Neighbourhood Longitude  \\\n",
       "Neighbourhood                                                                 \n",
       "Adelaide, King, Richmond                                                100   \n",
       "Chinatown, Grange Park, Kensington Market                               100   \n",
       "St. James Town                                                          100   \n",
       "Ryerson, Garden District                                                100   \n",
       "First Canadian Place, Underground city                                  100   \n",
       "Design Exchange, Toronto Dominion Centre                                100   \n",
       "Commerce Court, Victoria Hotel                                          100   \n",
       "Harbourfront East, Toronto Islands, Union Station                       100   \n",
       "Stn A PO Boxes 25 The Esplanade                                          98   \n",
       "Church and Wellesley                                                     86   \n",
       "Central Bay Street                                                       85   \n",
       "Little Portugal, Trinity                                                 64   \n",
       "Fairview, Henry Farm, Oriole                                             62   \n",
       "Berczy Park                                                              57   \n",
       "Harbourfront, Regent Park                                                50   \n",
       "Cabbagetown, St. James Town                                              49   \n",
       "The Danforth West, Riverdale                                             43   \n",
       "Studio District                                                          39   \n",
       "Queen's Park                                                             39   \n",
       "Willowdale South                                                         36   \n",
       "Davisville                                                               35   \n",
       "Runnymede, Swansea                                                       35   \n",
       "Leaside                                                                  34   \n",
       "Harbord, University of Toronto                                           33   \n",
       "High Park, The Junction South                                            24   \n",
       "The Annex, North Midtown, Yorkville                                      24   \n",
       "Bedford Park, Lawrence Manor East                                        22   \n",
       "Flemingdon Park, Don Mills South                                         21   \n",
       "North Toronto West                                                       21   \n",
       "Brockton, Exhibition Place, Parkdale Village                             20   \n",
       "The Beaches West, India Bazaar                                           19   \n",
       "Bathurst Manor, Downsview North, Wilson Heights                          19   \n",
       "Business Reply Mail Processing Centre 969 Eastern                        19   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...                       17   \n",
       "Thorncliffe Park                                                         16   \n",
       "Christie                                                                 15   \n",
       "Parkdale, Roncesvalles                                                   15   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...                       15   \n",
       "Humber Bay Shores, Mimico South, New Toronto                             14   \n",
       "Dovercourt Village, Dufferin                                             14   \n",
       "L'Amoreaux West                                                          13   \n",
       "Kingsway Park South West, Mimico NW, The Queens...                       12   \n",
       "Lawrence Heights, Lawrence Manor                                         11   \n",
       "Canada Post Gateway Processing Centre                                    11   \n",
       "Woodbine Gardens, Parkview Hill                                          11   \n",
       "Woodbine Heights                                                         10   \n",
       "Clarks Corners, Sullivan, Tam O'Shanter                                  10   \n",
       "Alderwood, Long Branch                                                   10   \n",
       "Clairlea, Golden Mile, Oakridge                                           9   \n",
       "Albion Gardens, Beaumond Heights, Humbergate, J...                        9   \n",
       "Davisville North                                                          9   \n",
       "Cedarbrae                                                                 8   \n",
       "Guildwood, Morningside, West Hill                                         7   \n",
       "Willowdale West                                                           7   \n",
       "Dorset Park, Scarborough Town Centre, Wexford H...                        7   \n",
       "Bloordale Gardens, Eringate, Markland Wood, Old...                        7   \n",
       "Westmount                                                                 6   \n",
       "Northwood Park, York University                                           6   \n",
       "Del Ray, Keelesdale, Mount Dennis, Silverthorn                            6   \n",
       "Downsview West                                                            6   \n",
       "Rosedale                                                                  5   \n",
       "Maryvale, Wexford                                                         5   \n",
       "Victoria Village                                                          5   \n",
       "Hillcrest Village                                                         5   \n",
       "Caledonia-Fairbanks                                                       5   \n",
       "Don Mills North                                                           5   \n",
       "Glencairn                                                                 5   \n",
       "East Birchmount Park, Ionview, Kennedy Park                               5   \n",
       "Lawrence Park                                                             4   \n",
       "The Junction North, Runnymede                                             4   \n",
       "Kingsview Village, Martin Grove Gardens, Richvi...                        4   \n",
       "The Beaches                                                               4   \n",
       "Downsview, North Park, Upwood Park                                        4   \n",
       "Downsview Northwest                                                       4   \n",
       "Forest Hill North, Forest Hill West                                       4   \n",
       "Agincourt                                                                 4   \n",
       "The Kingsway, Montgomery Road, Old Mill North                             4   \n",
       "Birch Cliff, Cliffside West                                               4   \n",
       "Bayview Village                                                           4   \n",
       "Humewood-Cedarvale                                                        4   \n",
       "East Toronto                                                              4   \n",
       "Downsview Central                                                         3   \n",
       "Woburn                                                                    3   \n",
       "CFB Toronto, Downsview East                                               3   \n",
       "York Mills West                                                           3   \n",
       "Agincourt North, L'Amoreaux East, Milliken, Ste...                        3   \n",
       "Scarborough Village                                                       3   \n",
       "Humber Bay, King's Mill Park, Kingsway Park Sou...                        3   \n",
       "Humber Summit                                                             3   \n",
       "Silver Hills, York Mills                                                  2   \n",
       "Highland Creek, Rouge Hill, Port Union                                    2   \n",
       "Parkwoods                                                                 2   \n",
       "Cloverdale, Islington, Martin Grove, Princess G...                        2   \n",
       "Cliffcrest, Cliffside, Scarborough Village West                           2   \n",
       "Northwest                                                                 2   \n",
       "Rouge, Malvern                                                            1   \n",
       "Roselawn                                                                  1   \n",
       "Weston                                                                    1   \n",
       "Moore Park, Summerhill East                                               1   \n",
       "Emery, Humberlea                                                          1   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighbourhood                                                               \n",
       "Adelaide, King, Richmond                              100             100   \n",
       "Chinatown, Grange Park, Kensington Market             100             100   \n",
       "St. James Town                                        100             100   \n",
       "Ryerson, Garden District                              100             100   \n",
       "First Canadian Place, Underground city                100             100   \n",
       "Design Exchange, Toronto Dominion Centre              100             100   \n",
       "Commerce Court, Victoria Hotel                        100             100   \n",
       "Harbourfront East, Toronto Islands, Union Station     100             100   \n",
       "Stn A PO Boxes 25 The Esplanade                        98              98   \n",
       "Church and Wellesley                                   86              86   \n",
       "Central Bay Street                                     85              85   \n",
       "Little Portugal, Trinity                               64              64   \n",
       "Fairview, Henry Farm, Oriole                           62              62   \n",
       "Berczy Park                                            57              57   \n",
       "Harbourfront, Regent Park                              50              50   \n",
       "Cabbagetown, St. James Town                            49              49   \n",
       "The Danforth West, Riverdale                           43              43   \n",
       "Studio District                                        39              39   \n",
       "Queen's Park                                           39              39   \n",
       "Willowdale South                                       36              36   \n",
       "Davisville                                             35              35   \n",
       "Runnymede, Swansea                                     35              35   \n",
       "Leaside                                                34              34   \n",
       "Harbord, University of Toronto                         33              33   \n",
       "High Park, The Junction South                          24              24   \n",
       "The Annex, North Midtown, Yorkville                    24              24   \n",
       "Bedford Park, Lawrence Manor East                      22              22   \n",
       "Flemingdon Park, Don Mills South                       21              21   \n",
       "North Toronto West                                     21              21   \n",
       "Brockton, Exhibition Place, Parkdale Village           20              20   \n",
       "The Beaches West, India Bazaar                         19              19   \n",
       "Bathurst Manor, Downsview North, Wilson Heights        19              19   \n",
       "Business Reply Mail Processing Centre 969 Eastern      19              19   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...     17              17   \n",
       "Thorncliffe Park                                       16              16   \n",
       "Christie                                               15              15   \n",
       "Parkdale, Roncesvalles                                 15              15   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...     15              15   \n",
       "Humber Bay Shores, Mimico South, New Toronto           14              14   \n",
       "Dovercourt Village, Dufferin                           14              14   \n",
       "L'Amoreaux West                                        13              13   \n",
       "Kingsway Park South West, Mimico NW, The Queens...     12              12   \n",
       "Lawrence Heights, Lawrence Manor                       11              11   \n",
       "Canada Post Gateway Processing Centre                  11              11   \n",
       "Woodbine Gardens, Parkview Hill                        11              11   \n",
       "Woodbine Heights                                       10              10   \n",
       "Clarks Corners, Sullivan, Tam O'Shanter                10              10   \n",
       "Alderwood, Long Branch                                 10              10   \n",
       "Clairlea, Golden Mile, Oakridge                         9               9   \n",
       "Albion Gardens, Beaumond Heights, Humbergate, J...      9               9   \n",
       "Davisville North                                        9               9   \n",
       "Cedarbrae                                               8               8   \n",
       "Guildwood, Morningside, West Hill                       7               7   \n",
       "Willowdale West                                         7               7   \n",
       "Dorset Park, Scarborough Town Centre, Wexford H...      7               7   \n",
       "Bloordale Gardens, Eringate, Markland Wood, Old...      7               7   \n",
       "Westmount                                               6               6   \n",
       "Northwood Park, York University                         6               6   \n",
       "Del Ray, Keelesdale, Mount Dennis, Silverthorn          6               6   \n",
       "Downsview West                                          6               6   \n",
       "Rosedale                                                5               5   \n",
       "Maryvale, Wexford                                       5               5   \n",
       "Victoria Village                                        5               5   \n",
       "Hillcrest Village                                       5               5   \n",
       "Caledonia-Fairbanks                                     5               5   \n",
       "Don Mills North                                         5               5   \n",
       "Glencairn                                               5               5   \n",
       "East Birchmount Park, Ionview, Kennedy Park             5               5   \n",
       "Lawrence Park                                           4               4   \n",
       "The Junction North, Runnymede                           4               4   \n",
       "Kingsview Village, Martin Grove Gardens, Richvi...      4               4   \n",
       "The Beaches                                             4               4   \n",
       "Downsview, North Park, Upwood Park                      4               4   \n",
       "Downsview Northwest                                     4               4   \n",
       "Forest Hill North, Forest Hill West                     4               4   \n",
       "Agincourt                                               4               4   \n",
       "The Kingsway, Montgomery Road, Old Mill North           4               4   \n",
       "Birch Cliff, Cliffside West                             4               4   \n",
       "Bayview Village                                         4               4   \n",
       "Humewood-Cedarvale                                      4               4   \n",
       "East Toronto                                            4               4   \n",
       "Downsview Central                                       3               3   \n",
       "Woburn                                                  3               3   \n",
       "CFB Toronto, Downsview East                             3               3   \n",
       "York Mills West                                         3               3   \n",
       "Agincourt North, L'Amoreaux East, Milliken, Ste...      3               3   \n",
       "Scarborough Village                                     3               3   \n",
       "Humber Bay, King's Mill Park, Kingsway Park Sou...      3               3   \n",
       "Humber Summit                                           3               3   \n",
       "Silver Hills, York Mills                                2               2   \n",
       "Highland Creek, Rouge Hill, Port Union                  2               2   \n",
       "Parkwoods                                               2               2   \n",
       "Cloverdale, Islington, Martin Grove, Princess G...      2               2   \n",
       "Cliffcrest, Cliffside, Scarborough Village West         2               2   \n",
       "Northwest                                               2               2   \n",
       "Rouge, Malvern                                          1               1   \n",
       "Roselawn                                                1               1   \n",
       "Weston                                                  1               1   \n",
       "Moore Park, Summerhill East                             1               1   \n",
       "Emery, Humberlea                                        1               1   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighbourhood                                                         \n",
       "Adelaide, King, Richmond                                        100   \n",
       "Chinatown, Grange Park, Kensington Market                       100   \n",
       "St. James Town                                                  100   \n",
       "Ryerson, Garden District                                        100   \n",
       "First Canadian Place, Underground city                          100   \n",
       "Design Exchange, Toronto Dominion Centre                        100   \n",
       "Commerce Court, Victoria Hotel                                  100   \n",
       "Harbourfront East, Toronto Islands, Union Station               100   \n",
       "Stn A PO Boxes 25 The Esplanade                                  98   \n",
       "Church and Wellesley                                             86   \n",
       "Central Bay Street                                               85   \n",
       "Little Portugal, Trinity                                         64   \n",
       "Fairview, Henry Farm, Oriole                                     62   \n",
       "Berczy Park                                                      57   \n",
       "Harbourfront, Regent Park                                        50   \n",
       "Cabbagetown, St. James Town                                      49   \n",
       "The Danforth West, Riverdale                                     43   \n",
       "Studio District                                                  39   \n",
       "Queen's Park                                                     39   \n",
       "Willowdale South                                                 36   \n",
       "Davisville                                                       35   \n",
       "Runnymede, Swansea                                               35   \n",
       "Leaside                                                          34   \n",
       "Harbord, University of Toronto                                   33   \n",
       "High Park, The Junction South                                    24   \n",
       "The Annex, North Midtown, Yorkville                              24   \n",
       "Bedford Park, Lawrence Manor East                                22   \n",
       "Flemingdon Park, Don Mills South                                 21   \n",
       "North Toronto West                                               21   \n",
       "Brockton, Exhibition Place, Parkdale Village                     20   \n",
       "The Beaches West, India Bazaar                                   19   \n",
       "Bathurst Manor, Downsview North, Wilson Heights                  19   \n",
       "Business Reply Mail Processing Centre 969 Eastern                19   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...               17   \n",
       "Thorncliffe Park                                                 16   \n",
       "Christie                                                         15   \n",
       "Parkdale, Roncesvalles                                           15   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...               15   \n",
       "Humber Bay Shores, Mimico South, New Toronto                     14   \n",
       "Dovercourt Village, Dufferin                                     14   \n",
       "L'Amoreaux West                                                  13   \n",
       "Kingsway Park South West, Mimico NW, The Queens...               12   \n",
       "Lawrence Heights, Lawrence Manor                                 11   \n",
       "Canada Post Gateway Processing Centre                            11   \n",
       "Woodbine Gardens, Parkview Hill                                  11   \n",
       "Woodbine Heights                                                 10   \n",
       "Clarks Corners, Sullivan, Tam O'Shanter                          10   \n",
       "Alderwood, Long Branch                                           10   \n",
       "Clairlea, Golden Mile, Oakridge                                   9   \n",
       "Albion Gardens, Beaumond Heights, Humbergate, J...                9   \n",
       "Davisville North                                                  9   \n",
       "Cedarbrae                                                         8   \n",
       "Guildwood, Morningside, West Hill                                 7   \n",
       "Willowdale West                                                   7   \n",
       "Dorset Park, Scarborough Town Centre, Wexford H...                7   \n",
       "Bloordale Gardens, Eringate, Markland Wood, Old...                7   \n",
       "Westmount                                                         6   \n",
       "Northwood Park, York University                                   6   \n",
       "Del Ray, Keelesdale, Mount Dennis, Silverthorn                    6   \n",
       "Downsview West                                                    6   \n",
       "Rosedale                                                          5   \n",
       "Maryvale, Wexford                                                 5   \n",
       "Victoria Village                                                  5   \n",
       "Hillcrest Village                                                 5   \n",
       "Caledonia-Fairbanks                                               5   \n",
       "Don Mills North                                                   5   \n",
       "Glencairn                                                         5   \n",
       "East Birchmount Park, Ionview, Kennedy Park                       5   \n",
       "Lawrence Park                                                     4   \n",
       "The Junction North, Runnymede                                     4   \n",
       "Kingsview Village, Martin Grove Gardens, Richvi...                4   \n",
       "The Beaches                                                       4   \n",
       "Downsview, North Park, Upwood Park                                4   \n",
       "Downsview Northwest                                               4   \n",
       "Forest Hill North, Forest Hill West                               4   \n",
       "Agincourt                                                         4   \n",
       "The Kingsway, Montgomery Road, Old Mill North                     4   \n",
       "Birch Cliff, Cliffside West                                       4   \n",
       "Bayview Village                                                   4   \n",
       "Humewood-Cedarvale                                                4   \n",
       "East Toronto                                                      4   \n",
       "Downsview Central                                                 3   \n",
       "Woburn                                                            3   \n",
       "CFB Toronto, Downsview East                                       3   \n",
       "York Mills West                                                   3   \n",
       "Agincourt North, L'Amoreaux East, Milliken, Ste...                3   \n",
       "Scarborough Village                                               3   \n",
       "Humber Bay, King's Mill Park, Kingsway Park Sou...                3   \n",
       "Humber Summit                                                     3   \n",
       "Silver Hills, York Mills                                          2   \n",
       "Highland Creek, Rouge Hill, Port Union                            2   \n",
       "Parkwoods                                                         2   \n",
       "Cloverdale, Islington, Martin Grove, Princess G...                2   \n",
       "Cliffcrest, Cliffside, Scarborough Village West                   2   \n",
       "Northwest                                                         2   \n",
       "Rouge, Malvern                                                    1   \n",
       "Roselawn                                                          1   \n",
       "Weston                                                            1   \n",
       "Moore Park, Summerhill East                                       1   \n",
       "Emery, Humberlea                                                  1   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighbourhood                                                       \n",
       "Adelaide, King, Richmond                                       100  \n",
       "Chinatown, Grange Park, Kensington Market                      100  \n",
       "St. James Town                                                 100  \n",
       "Ryerson, Garden District                                       100  \n",
       "First Canadian Place, Underground city                         100  \n",
       "Design Exchange, Toronto Dominion Centre                       100  \n",
       "Commerce Court, Victoria Hotel                                 100  \n",
       "Harbourfront East, Toronto Islands, Union Station              100  \n",
       "Stn A PO Boxes 25 The Esplanade                                 98  \n",
       "Church and Wellesley                                            86  \n",
       "Central Bay Street                                              85  \n",
       "Little Portugal, Trinity                                        64  \n",
       "Fairview, Henry Farm, Oriole                                    62  \n",
       "Berczy Park                                                     57  \n",
       "Harbourfront, Regent Park                                       50  \n",
       "Cabbagetown, St. James Town                                     49  \n",
       "The Danforth West, Riverdale                                    43  \n",
       "Studio District                                                 39  \n",
       "Queen's Park                                                    39  \n",
       "Willowdale South                                                36  \n",
       "Davisville                                                      35  \n",
       "Runnymede, Swansea                                              35  \n",
       "Leaside                                                         34  \n",
       "Harbord, University of Toronto                                  33  \n",
       "High Park, The Junction South                                   24  \n",
       "The Annex, North Midtown, Yorkville                             24  \n",
       "Bedford Park, Lawrence Manor East                               22  \n",
       "Flemingdon Park, Don Mills South                                21  \n",
       "North Toronto West                                              21  \n",
       "Brockton, Exhibition Place, Parkdale Village                    20  \n",
       "The Beaches West, India Bazaar                                  19  \n",
       "Bathurst Manor, Downsview North, Wilson Heights                 19  \n",
       "Business Reply Mail Processing Centre 969 Eastern               19  \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...              17  \n",
       "Thorncliffe Park                                                16  \n",
       "Christie                                                        15  \n",
       "Parkdale, Roncesvalles                                          15  \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...              15  \n",
       "Humber Bay Shores, Mimico South, New Toronto                    14  \n",
       "Dovercourt Village, Dufferin                                    14  \n",
       "L'Amoreaux West                                                 13  \n",
       "Kingsway Park South West, Mimico NW, The Queens...              12  \n",
       "Lawrence Heights, Lawrence Manor                                11  \n",
       "Canada Post Gateway Processing Centre                           11  \n",
       "Woodbine Gardens, Parkview Hill                                 11  \n",
       "Woodbine Heights                                                10  \n",
       "Clarks Corners, Sullivan, Tam O'Shanter                         10  \n",
       "Alderwood, Long Branch                                          10  \n",
       "Clairlea, Golden Mile, Oakridge                                  9  \n",
       "Albion Gardens, Beaumond Heights, Humbergate, J...               9  \n",
       "Davisville North                                                 9  \n",
       "Cedarbrae                                                        8  \n",
       "Guildwood, Morningside, West Hill                                7  \n",
       "Willowdale West                                                  7  \n",
       "Dorset Park, Scarborough Town Centre, Wexford H...               7  \n",
       "Bloordale Gardens, Eringate, Markland Wood, Old...               7  \n",
       "Westmount                                                        6  \n",
       "Northwood Park, York University                                  6  \n",
       "Del Ray, Keelesdale, Mount Dennis, Silverthorn                   6  \n",
       "Downsview West                                                   6  \n",
       "Rosedale                                                         5  \n",
       "Maryvale, Wexford                                                5  \n",
       "Victoria Village                                                 5  \n",
       "Hillcrest Village                                                5  \n",
       "Caledonia-Fairbanks                                              5  \n",
       "Don Mills North                                                  5  \n",
       "Glencairn                                                        5  \n",
       "East Birchmount Park, Ionview, Kennedy Park                      5  \n",
       "Lawrence Park                                                    4  \n",
       "The Junction North, Runnymede                                    4  \n",
       "Kingsview Village, Martin Grove Gardens, Richvi...               4  \n",
       "The Beaches                                                      4  \n",
       "Downsview, North Park, Upwood Park                               4  \n",
       "Downsview Northwest                                              4  \n",
       "Forest Hill North, Forest Hill West                              4  \n",
       "Agincourt                                                        4  \n",
       "The Kingsway, Montgomery Road, Old Mill North                    4  \n",
       "Birch Cliff, Cliffside West                                      4  \n",
       "Bayview Village                                                  4  \n",
       "Humewood-Cedarvale                                               4  \n",
       "East Toronto                                                     4  \n",
       "Downsview Central                                                3  \n",
       "Woburn                                                           3  \n",
       "CFB Toronto, Downsview East                                      3  \n",
       "York Mills West                                                  3  \n",
       "Agincourt North, L'Amoreaux East, Milliken, Ste...               3  \n",
       "Scarborough Village                                              3  \n",
       "Humber Bay, King's Mill Park, Kingsway Park Sou...               3  \n",
       "Humber Summit                                                    3  \n",
       "Silver Hills, York Mills                                         2  \n",
       "Highland Creek, Rouge Hill, Port Union                           2  \n",
       "Parkwoods                                                        2  \n",
       "Cloverdale, Islington, Martin Grove, Princess G...               2  \n",
       "Cliffcrest, Cliffside, Scarborough Village West                  2  \n",
       "Northwest                                                        2  \n",
       "Rouge, Malvern                                                   1  \n",
       "Roselawn                                                         1  \n",
       "Weston                                                           1  \n",
       "Moore Park, Summerhill East                                      1  \n",
       "Emery, Humberlea                                                 1  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_count = toronto_venues.groupby('Neighbourhood').count().sort_values(by='Venue', ascending=False)\n",
    "sorted_count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For simplicity only neighbourhoods with at least 20 nearby venues are considered from now on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(29,)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# indexes to be kept / which have more than 20 venues\n",
    "neighbourhood_indexes_to_keep = sorted_count[sorted_count['Venue'] > 20].index\n",
    "neighbourhood_indexes_to_keep.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>Neighbourhood Latitude</th>\n",
       "      <th>Neighbourhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>43.650571</td>\n",
       "      <td>-79.384568</td>\n",
       "      <td>Four Seasons Centre for the Performing Arts</td>\n",
       "      <td>43.650592</td>\n",
       "      <td>-79.385806</td>\n",
       "      <td>Concert Hall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>43.650571</td>\n",
       "      <td>-79.384568</td>\n",
       "      <td>The Keg Steakhouse &amp; Bar</td>\n",
       "      <td>43.649937</td>\n",
       "      <td>-79.384196</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>43.650571</td>\n",
       "      <td>-79.384568</td>\n",
       "      <td>Nathan Phillips Square</td>\n",
       "      <td>43.652270</td>\n",
       "      <td>-79.383516</td>\n",
       "      <td>Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>43.650571</td>\n",
       "      <td>-79.384568</td>\n",
       "      <td>Rosalinda</td>\n",
       "      <td>43.650252</td>\n",
       "      <td>-79.385156</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>43.650571</td>\n",
       "      <td>-79.384568</td>\n",
       "      <td>Shangri-La Toronto</td>\n",
       "      <td>43.649129</td>\n",
       "      <td>-79.386557</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Neighbourhood  Neighbourhood Latitude  Neighbourhood Longitude  \\\n",
       "0  Adelaide, King, Richmond               43.650571               -79.384568   \n",
       "1  Adelaide, King, Richmond               43.650571               -79.384568   \n",
       "2  Adelaide, King, Richmond               43.650571               -79.384568   \n",
       "3  Adelaide, King, Richmond               43.650571               -79.384568   \n",
       "4  Adelaide, King, Richmond               43.650571               -79.384568   \n",
       "\n",
       "                                         Venue  Venue Latitude  \\\n",
       "0  Four Seasons Centre for the Performing Arts       43.650592   \n",
       "1                     The Keg Steakhouse & Bar       43.649937   \n",
       "2                       Nathan Phillips Square       43.652270   \n",
       "3                                    Rosalinda       43.650252   \n",
       "4                           Shangri-La Toronto       43.649129   \n",
       "\n",
       "   Venue Longitude                 Venue Category  \n",
       "0       -79.385806                   Concert Hall  \n",
       "1       -79.384196                     Steakhouse  \n",
       "2       -79.383516                          Plaza  \n",
       "3       -79.385156  Vegetarian / Vegan Restaurant  \n",
       "4       -79.386557                          Hotel  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reduce the number of condidered neighbourhoods\n",
    "toronto_venues = toronto_venues.set_index('Neighbourhood').loc[neighbourhood_indexes_to_keep].reset_index()\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Fairview, Henry Farm, Oriole</td>\n",
       "      <td>M2J</td>\n",
       "      <td>North York</td>\n",
       "      <td>43.778517</td>\n",
       "      <td>-79.346556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Willowdale South</td>\n",
       "      <td>M2N</td>\n",
       "      <td>North York</td>\n",
       "      <td>43.770120</td>\n",
       "      <td>-79.408493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Flemingdon Park, Don Mills South</td>\n",
       "      <td>M3C</td>\n",
       "      <td>North York</td>\n",
       "      <td>43.725900</td>\n",
       "      <td>-79.340923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Leaside</td>\n",
       "      <td>M4G</td>\n",
       "      <td>East York</td>\n",
       "      <td>43.709060</td>\n",
       "      <td>-79.363452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.352188</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Neighbourhood Postcode       Borough   Latitude  \\\n",
       "0      Fairview, Henry Farm, Oriole      M2J    North York  43.778517   \n",
       "1                  Willowdale South      M2N    North York  43.770120   \n",
       "2  Flemingdon Park, Don Mills South      M3C    North York  43.725900   \n",
       "3                           Leaside      M4G     East York  43.709060   \n",
       "4      The Danforth West, Riverdale      M4K  East Toronto  43.679557   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.346556  \n",
       "1 -79.408493  \n",
       "2 -79.340923  \n",
       "3 -79.363452  \n",
       "4 -79.352188  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reduce the number of condidered neighbourhoods\n",
    "Neighbourhoods = Neighbourhoods.set_index('Neighbourhood').loc[neighbourhood_indexes_to_keep].sort_values(by='Postcode').reset_index()\n",
    "Neighbourhoods.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Find out how many unique categories can be curated from all the returned venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 220 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Analyze the Neighbourhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "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>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>BBQ Joint</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Baseball Field</th>\n",
       "      <th>Baseball Stadium</th>\n",
       "      <th>Basketball Stadium</th>\n",
       "      <th>Beach</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Belgian Restaurant</th>\n",
       "      <th>Bike Shop</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Bowling Alley</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>Bus Station</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Café</th>\n",
       "      <th>Cajun / Creole Restaurant</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 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>Convenience Store</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Coworking Space</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cuban Restaurant</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>Dive Bar</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>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 &amp; Chips Shop</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Flea Market</th>\n",
       "      <th>Flower Shop</th>\n",
       "      <th>Food</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>Fruit &amp; Vegetable Store</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>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>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>Hostel</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>Hotel Bar</th>\n",
       "      <th>Hotpot Restaurant</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Indie Movie Theater</th>\n",
       "      <th>Indonesian Restaurant</th>\n",
       "      <th>Indoor Play Area</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>Jewish Restaurant</th>\n",
       "      <th>Juice Bar</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>Mac &amp; Cheese Joint</th>\n",
       "      <th>Market</th>\n",
       "      <th>Martial Arts Dojo</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>Movie Theater</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Store</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>Persian Restaurant</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Polish Restaurant</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>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Stationery Store</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Strip Club</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Supplement Shop</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>Tapas Restaurant</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Tennis Court</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
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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",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</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",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>Adelaide, King, Richmond</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>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",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Neighbourhood  Afghan Restaurant  American Restaurant  \\\n",
       "0  Adelaide, King, Richmond                  0                    0   \n",
       "1  Adelaide, King, Richmond                  0                    0   \n",
       "2  Adelaide, King, Richmond                  0                    0   \n",
       "3  Adelaide, King, Richmond                  0                    0   \n",
       "4  Adelaide, King, Richmond                  0                    0   \n",
       "\n",
       "   Antique Shop  Aquarium  Art Gallery  Art Museum  Arts & Crafts 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",
       "   Asian Restaurant  BBQ Joint  Bagel Shop  Bakery  Bank  Bar  Baseball Field  \\\n",
       "0                 0          0           0       0     0    0               0   \n",
       "1                 0          0           0       0     0    0               0   \n",
       "2                 0          0           0       0     0    0               0   \n",
       "3                 0          0           0       0     0    0               0   \n",
       "4                 0          0           0       0     0    0               0   \n",
       "\n",
       "   Baseball Stadium  Basketball Stadium  Beach  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  Bike Shop  Bistro  Bookstore  Boutique  Bowling Alley  \\\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",
       "   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  Bus Station  Butcher  Café  \\\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",
       "   Cajun / Creole Restaurant  Camera Store  Candy Store  Caribbean 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",
       "   Cheese Shop  Chinese Restaurant  Chocolate Shop  Church  Clothing 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",
       "   Cocktail Bar  Coffee Shop  College Arts Building  College Auditorium  \\\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",
       "   College Gym  College Rec Center  Colombian Restaurant  \\\n",
       "0            0                   0                     0   \n",
       "1            0                   0                     0   \n",
       "2            0                   0                     0   \n",
       "3            0                   0                     0   \n",
       "4            0                   0                     0   \n",
       "\n",
       "   Comfort Food Restaurant  Comic Shop  Concert Hall  Convenience Store  \\\n",
       "0                        0           0             1                  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  Coworking Space  Creperie  Cuban Restaurant  Cupcake 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",
       "   Dance Studio  Deli / Bodega  Department Store  Dessert 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",
       "   Dim Sum Restaurant  Diner  Discount Store  Dive Bar  Dog Run  \\\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",
       "   Doner Restaurant  Donut Shop  Dumpling Restaurant  \\\n",
       "0                 0           0                    0   \n",
       "1                 0           0                    0   \n",
       "2                 0           0                    0   \n",
       "3                 0           0                    0   \n",
       "4                 0           0                    0   \n",
       "\n",
       "   Eastern European Restaurant  Electronics Store  Ethiopian Restaurant  \\\n",
       "0                            0                  0                     0   \n",
       "1                            0                  0                     0   \n",
       "2                            0                  0                     0   \n",
       "3                            0                  0                     0   \n",
       "4                            0                  0                     0   \n",
       "\n",
       "   Event Space  Falafel Restaurant  Farmers Market  Fast Food 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",
       "   Filipino Restaurant  Fish & Chips Shop  Fish Market  Flea 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",
       "   Flower Shop  Food  Food & Drink Shop  Food Court  Food Truck  Fountain  \\\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",
       "   French Restaurant  Fried Chicken Joint  Fruit & Vegetable 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",
       "   Furniture / Home Store  Gaming Cafe  Gastropub  Gay Bar  \\\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",
       "   General Entertainment  General Travel  Gift Shop  Gluten-free 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",
       "   Gourmet Shop  Greek Restaurant  Grocery Store  Gym  Gym / Fitness Center  \\\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",
       "   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  Hostel  Hotel  Hotel Bar  Hotpot Restaurant  Ice Cream Shop  \\\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      1          0                  0               0   \n",
       "\n",
       "   Indian Restaurant  Indie Movie Theater  Indonesian Restaurant  \\\n",
       "0                  0                    0                      0   \n",
       "1                  0                    0                      0   \n",
       "2                  0                    0                      0   \n",
       "3                  0                    0                      0   \n",
       "4                  0                    0                      0   \n",
       "\n",
       "   Indoor Play Area  Irish Pub  Italian Restaurant  Japanese 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",
       "   Jazz Club  Jewelry Store  Jewish Restaurant  Juice Bar  Korean 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",
       "   Lake  Latin American Restaurant  Lingerie Store  Liquor Store  Lounge  \\\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",
       "   Mac & Cheese Joint  Market  Martial Arts Dojo  Mediterranean 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",
       "   Men's Store  Mexican Restaurant  Middle Eastern Restaurant  \\\n",
       "0            0                   0                          0   \n",
       "1            0                   0                          0   \n",
       "2            0                   0                          0   \n",
       "3            0                   0                          0   \n",
       "4            0                   0                          0   \n",
       "\n",
       "   Miscellaneous Shop  Modern European Restaurant  \\\n",
       "0                   0                           0   \n",
       "1                   0                           0   \n",
       "2                   0                           0   \n",
       "3                   0                           0   \n",
       "4                   0                           0   \n",
       "\n",
       "   Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\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",
       "   Museum  Music Store  Music Venue  Neighborhood  New American 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",
       "   Nightclub  Noodle House  Office  Opera House  Optical 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",
       "   Organic Grocery  Other Great Outdoors  Park  Performing Arts Venue  \\\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",
       "   Persian Restaurant  Pet Store  Pharmacy  Pizza Place  Playground  Plaza  \\\n",
       "0                   0          0         0            0           0      0   \n",
       "1                   0          0         0            0           0      0   \n",
       "2                   0          0         0            0           0      1   \n",
       "3                   0          0         0            0           0      0   \n",
       "4                   0          0         0            0           0      0   \n",
       "\n",
       "   Poke Place  Polish Restaurant  Portuguese Restaurant  Poutine Place  Pub  \\\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",
       "   Ramen Restaurant  Record Shop  Rental Car Location  Restaurant  Roof Deck  \\\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",
       "   Sake Bar  Salad Place  Salon / Barbershop  Sandwich Place  Scenic Lookout  \\\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",
       "   Sculpture Garden  Seafood Restaurant  Shoe Store  Shopping Mall  \\\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",
       "   Skating Rink  Smoke Shop  Smoothie Shop  Snack Place  Soup 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",
       "   Southern / Soul Food Restaurant  Spa  Speakeasy  Sporting Goods 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",
       "   Sports Bar  Stationery Store  Steakhouse  Strip Club  Supermarket  \\\n",
       "0           0                 0           0           0            0   \n",
       "1           0                 0           1           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",
       "   Supplement Shop  Sushi Restaurant  Taco Place  Tailor 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",
       "   Taiwanese Restaurant  Tanning Salon  Tapas Restaurant  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",
       "   Tennis Court  Thai Restaurant  Theater  Theme 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",
       "   Thrift / Vintage Store  Toy / Game Store  Trail  Train Station  \\\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",
       "   Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n",
       "0                              0                 0                      0   \n",
       "1                              0                 0                      0   \n",
       "2                              0                 0                      0   \n",
       "3                              1                 0                      0   \n",
       "4                              0                 0                      0   \n",
       "\n",
       "   Wine Bar  Wings Joint  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": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add Neighbourhood column back to dataframe\n",
    "toronto_onehot['Neighbourhood'] = toronto_venues['Neighbourhood'] \n",
    "\n",
    "# move Neighbourhood column to the first column\n",
    "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "\n",
    "toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And let's examine the new dataframe size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1757, 221)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Next, let's group rows by Neighbourhood and by taking the mean of the frequency of occurrence of each category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>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>BBQ Joint</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Baseball Field</th>\n",
       "      <th>Baseball Stadium</th>\n",
       "      <th>Basketball Stadium</th>\n",
       "      <th>Beach</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Belgian Restaurant</th>\n",
       "      <th>Bike Shop</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Bowling Alley</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>Bus Station</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Café</th>\n",
       "      <th>Cajun / Creole Restaurant</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 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>Convenience Store</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Coworking Space</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cuban Restaurant</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>Dive Bar</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>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 &amp; Chips Shop</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Flea Market</th>\n",
       "      <th>Flower Shop</th>\n",
       "      <th>Food</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>Fruit &amp; Vegetable Store</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>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>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>Hostel</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>Hotel Bar</th>\n",
       "      <th>Hotpot Restaurant</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Indie Movie Theater</th>\n",
       "      <th>Indonesian Restaurant</th>\n",
       "      <th>Indoor Play Area</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>Jewish Restaurant</th>\n",
       "      <th>Juice Bar</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>Mac &amp; Cheese Joint</th>\n",
       "      <th>Market</th>\n",
       "      <th>Martial Arts Dojo</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>Movie Theater</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Store</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>Persian Restaurant</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Polish Restaurant</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>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Stationery Store</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Strip Club</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Supplement Shop</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>Tapas Restaurant</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Tennis Court</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Thrift / Vintage Store</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.070000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</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>0.02</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.045455</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</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>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Berczy Park</td>\n",
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       "      <td>0.017544</td>\n",
       "      <td>0.035088</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.017544</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.00</td>\n",
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       "      <td>0.017544</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.017544</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
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       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040816</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040816</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.040816</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.061224</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.040816</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.040816</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</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>0.023529</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.035294</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.035294</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.141176</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</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>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.047059</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.047059</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</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>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.035294</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.023529</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.011765</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Neighbourhood  Afghan Restaurant  American Restaurant  \\\n",
       "0           Adelaide, King, Richmond                0.0             0.030000   \n",
       "1  Bedford Park, Lawrence Manor East                0.0             0.045455   \n",
       "2                        Berczy Park                0.0             0.000000   \n",
       "3        Cabbagetown, St. James Town                0.0             0.020408   \n",
       "4                 Central Bay Street                0.0             0.011765   \n",
       "\n",
       "   Antique Shop  Aquarium  Art Gallery  Art Museum  Arts & Crafts Store  \\\n",
       "0           0.0       0.0     0.010000    0.010000                  0.0   \n",
       "1           0.0       0.0     0.000000    0.000000                  0.0   \n",
       "2           0.0       0.0     0.017544    0.000000                  0.0   \n",
       "3           0.0       0.0     0.000000    0.000000                  0.0   \n",
       "4           0.0       0.0     0.000000    0.011765                  0.0   \n",
       "\n",
       "   Asian Restaurant  BBQ Joint  Bagel Shop    Bakery      Bank       Bar  \\\n",
       "0              0.03   0.000000    0.000000  0.020000  0.000000  0.040000   \n",
       "1              0.00   0.000000    0.000000  0.000000  0.000000  0.000000   \n",
       "2              0.00   0.017544    0.017544  0.035088  0.000000  0.000000   \n",
       "3              0.00   0.000000    0.000000  0.040816  0.020408  0.000000   \n",
       "4              0.00   0.000000    0.000000  0.011765  0.000000  0.023529   \n",
       "\n",
       "   Baseball Field  Baseball Stadium  Basketball Stadium     Beach  Beer Bar  \\\n",
       "0             0.0               0.0            0.000000  0.000000  0.000000   \n",
       "1             0.0               0.0            0.000000  0.000000  0.000000   \n",
       "2             0.0               0.0            0.017544  0.017544  0.035088   \n",
       "3             0.0               0.0            0.000000  0.000000  0.000000   \n",
       "4             0.0               0.0            0.000000  0.000000  0.000000   \n",
       "\n",
       "   Beer Store  Belgian Restaurant  Bike Shop    Bistro  Bookstore  Boutique  \\\n",
       "0    0.000000                 0.0        0.0  0.000000   0.010000       0.0   \n",
       "1    0.000000                 0.0        0.0  0.000000   0.000000       0.0   \n",
       "2    0.000000                 0.0        0.0  0.017544   0.000000       0.0   \n",
       "3    0.020408                 0.0        0.0  0.020408   0.000000       0.0   \n",
       "4    0.000000                 0.0        0.0  0.000000   0.011765       0.0   \n",
       "\n",
       "   Bowling Alley  Brazilian Restaurant  Breakfast Spot  Brewery  \\\n",
       "0            0.0                  0.01        0.030000      0.0   \n",
       "1            0.0                  0.00        0.000000      0.0   \n",
       "2            0.0                  0.00        0.017544      0.0   \n",
       "3            0.0                  0.00        0.020408      0.0   \n",
       "4            0.0                  0.00        0.000000      0.0   \n",
       "\n",
       "   Bubble Tea Shop  Building  Burger Joint  Burrito Place  Bus Station  \\\n",
       "0         0.000000      0.01      0.030000           0.01          0.0   \n",
       "1         0.000000      0.00      0.000000           0.00          0.0   \n",
       "2         0.000000      0.00      0.000000           0.00          0.0   \n",
       "3         0.000000      0.00      0.000000           0.00          0.0   \n",
       "4         0.023529      0.00      0.035294           0.00          0.0   \n",
       "\n",
       "    Butcher      Café  Cajun / Creole Restaurant  Camera Store  Candy Store  \\\n",
       "0  0.000000  0.050000                        0.0           0.0          0.0   \n",
       "1  0.045455  0.045455                        0.0           0.0          0.0   \n",
       "2  0.017544  0.035088                        0.0           0.0          0.0   \n",
       "3  0.020408  0.040816                        0.0           0.0          0.0   \n",
       "4  0.000000  0.058824                        0.0           0.0          0.0   \n",
       "\n",
       "   Caribbean Restaurant  Cheese Shop  Chinese Restaurant  Chocolate Shop  \\\n",
       "0              0.000000     0.000000            0.000000             0.0   \n",
       "1              0.000000     0.000000            0.000000             0.0   \n",
       "2              0.000000     0.035088            0.000000             0.0   \n",
       "3              0.020408     0.000000            0.020408             0.0   \n",
       "4              0.000000     0.000000            0.035294             0.0   \n",
       "\n",
       "   Church  Clothing Store  Cocktail Bar  Coffee Shop  College Arts Building  \\\n",
       "0     0.0        0.010000      0.000000     0.070000                    0.0   \n",
       "1     0.0        0.000000      0.000000     0.090909                    0.0   \n",
       "2     0.0        0.017544      0.052632     0.087719                    0.0   \n",
       "3     0.0        0.000000      0.000000     0.061224                    0.0   \n",
       "4     0.0        0.011765      0.000000     0.141176                    0.0   \n",
       "\n",
       "   College Auditorium  College Gym  College Rec Center  Colombian Restaurant  \\\n",
       "0                 0.0          0.0                 0.0                  0.01   \n",
       "1                 0.0          0.0                 0.0                  0.00   \n",
       "2                 0.0          0.0                 0.0                  0.00   \n",
       "3                 0.0          0.0                 0.0                  0.00   \n",
       "4                 0.0          0.0                 0.0                  0.00   \n",
       "\n",
       "   Comfort Food Restaurant  Comic Shop  Concert Hall  Convenience Store  \\\n",
       "0                 0.000000    0.000000      0.020000           0.000000   \n",
       "1                 0.045455    0.000000      0.000000           0.000000   \n",
       "2                 0.017544    0.000000      0.017544           0.000000   \n",
       "3                 0.000000    0.000000      0.000000           0.020408   \n",
       "4                 0.000000    0.011765      0.000000           0.000000   \n",
       "\n",
       "   Cosmetics Shop  Coworking Space  Creperie  Cuban Restaurant  Cupcake Shop  \\\n",
       "0        0.030000              0.0  0.000000               0.0           0.0   \n",
       "1        0.045455              0.0  0.000000               0.0           0.0   \n",
       "2        0.000000              0.0  0.017544               0.0           0.0   \n",
       "3        0.000000              0.0  0.000000               0.0           0.0   \n",
       "4        0.000000              0.0  0.000000               0.0           0.0   \n",
       "\n",
       "   Dance Studio  Deli / Bodega  Department Store  Dessert Shop  \\\n",
       "0          0.01       0.010000          0.010000      0.000000   \n",
       "1          0.00       0.000000          0.000000      0.000000   \n",
       "2          0.00       0.000000          0.000000      0.000000   \n",
       "3          0.00       0.020408          0.000000      0.000000   \n",
       "4          0.00       0.000000          0.011765      0.011765   \n",
       "\n",
       "   Dim Sum Restaurant     Diner  Discount Store  Dive Bar  Dog Run  \\\n",
       "0                 0.0  0.000000        0.000000  0.000000      0.0   \n",
       "1                 0.0  0.000000        0.000000  0.000000      0.0   \n",
       "2                 0.0  0.017544        0.000000  0.000000      0.0   \n",
       "3                 0.0  0.020408        0.000000  0.020408      0.0   \n",
       "4                 0.0  0.011765        0.011765  0.000000      0.0   \n",
       "\n",
       "   Doner Restaurant  Donut Shop  Dumpling Restaurant  \\\n",
       "0               0.0    0.000000                  0.0   \n",
       "1               0.0    0.000000                  0.0   \n",
       "2               0.0    0.000000                  0.0   \n",
       "3               0.0    0.000000                  0.0   \n",
       "4               0.0    0.011765                  0.0   \n",
       "\n",
       "   Eastern European Restaurant  Electronics Store  Ethiopian Restaurant  \\\n",
       "0                     0.000000               0.01                   0.0   \n",
       "1                     0.000000               0.00                   0.0   \n",
       "2                     0.017544               0.00                   0.0   \n",
       "3                     0.000000               0.00                   0.0   \n",
       "4                     0.000000               0.00                   0.0   \n",
       "\n",
       "   Event Space  Falafel Restaurant  Farmers Market  Fast Food Restaurant  \\\n",
       "0          0.0            0.000000        0.000000              0.000000   \n",
       "1          0.0            0.000000        0.000000              0.045455   \n",
       "2          0.0            0.000000        0.035088              0.000000   \n",
       "3          0.0            0.000000        0.020408              0.000000   \n",
       "4          0.0            0.011765        0.000000              0.000000   \n",
       "\n",
       "   Filipino Restaurant  Fish & Chips Shop  Fish Market  Flea Market  \\\n",
       "0                  0.0                0.0     0.000000          0.0   \n",
       "1                  0.0                0.0     0.000000          0.0   \n",
       "2                  0.0                0.0     0.017544          0.0   \n",
       "3                  0.0                0.0     0.000000          0.0   \n",
       "4                  0.0                0.0     0.000000          0.0   \n",
       "\n",
       "   Flower Shop  Food  Food & Drink Shop  Food Court  Food Truck  Fountain  \\\n",
       "0     0.000000   0.0                0.0        0.01         0.0  0.000000   \n",
       "1     0.000000   0.0                0.0        0.00         0.0  0.000000   \n",
       "2     0.000000   0.0                0.0        0.00         0.0  0.017544   \n",
       "3     0.020408   0.0                0.0        0.00         0.0  0.000000   \n",
       "4     0.000000   0.0                0.0        0.00         0.0  0.000000   \n",
       "\n",
       "   French Restaurant  Fried Chicken Joint  Fruit & Vegetable Store  \\\n",
       "0           0.000000                  0.0                      0.0   \n",
       "1           0.000000                  0.0                      0.0   \n",
       "2           0.017544                  0.0                      0.0   \n",
       "3           0.000000                  0.0                      0.0   \n",
       "4           0.011765                  0.0                      0.0   \n",
       "\n",
       "   Furniture / Home Store  Gaming Cafe  Gastropub  Gay Bar  \\\n",
       "0                0.000000          0.0   0.020000      0.0   \n",
       "1                0.000000          0.0   0.000000      0.0   \n",
       "2                0.000000          0.0   0.000000      0.0   \n",
       "3                0.000000          0.0   0.020408      0.0   \n",
       "4                0.011765          0.0   0.011765      0.0   \n",
       "\n",
       "   General Entertainment  General Travel  Gift Shop  Gluten-free Restaurant  \\\n",
       "0               0.000000            0.01   0.000000                    0.01   \n",
       "1               0.000000            0.00   0.000000                    0.00   \n",
       "2               0.000000            0.00   0.000000                    0.00   \n",
       "3               0.020408            0.00   0.020408                    0.00   \n",
       "4               0.000000            0.00   0.000000                    0.00   \n",
       "\n",
       "   Gourmet Shop  Greek Restaurant  Grocery Store   Gym  Gym / Fitness Center  \\\n",
       "0      0.000000          0.010000       0.000000  0.02              0.010000   \n",
       "1      0.000000          0.045455       0.045455  0.00              0.000000   \n",
       "2      0.017544          0.017544       0.000000  0.00              0.000000   \n",
       "3      0.000000          0.000000       0.040816  0.00              0.000000   \n",
       "4      0.000000          0.000000       0.000000  0.00              0.011765   \n",
       "\n",
       "   Health & Beauty Service  Historic Site  History Museum  Hobby Shop  \\\n",
       "0                      0.0            0.0             0.0         0.0   \n",
       "1                      0.0            0.0             0.0         0.0   \n",
       "2                      0.0            0.0             0.0         0.0   \n",
       "3                      0.0            0.0             0.0         0.0   \n",
       "4                      0.0            0.0             0.0         0.0   \n",
       "\n",
       "   Hookah Bar  Hostel     Hotel  Hotel Bar  Hotpot Restaurant  Ice Cream Shop  \\\n",
       "0         0.0     0.0  0.030000        0.0                0.0        0.010000   \n",
       "1         0.0     0.0  0.000000        0.0                0.0        0.000000   \n",
       "2         0.0     0.0  0.017544        0.0                0.0        0.000000   \n",
       "3         0.0     0.0  0.000000        0.0                0.0        0.000000   \n",
       "4         0.0     0.0  0.011765        0.0                0.0        0.047059   \n",
       "\n",
       "   Indian Restaurant  Indie Movie Theater  Indonesian Restaurant  \\\n",
       "0           0.010000                  0.0                    0.0   \n",
       "1           0.045455                  0.0                    0.0   \n",
       "2           0.000000                  0.0                    0.0   \n",
       "3           0.020408                  0.0                    0.0   \n",
       "4           0.023529                  0.0                    0.0   \n",
       "\n",
       "   Indoor Play Area  Irish Pub  Italian Restaurant  Japanese Restaurant  \\\n",
       "0               0.0   0.000000            0.010000             0.010000   \n",
       "1               0.0   0.000000            0.090909             0.000000   \n",
       "2               0.0   0.017544            0.035088             0.000000   \n",
       "3               0.0   0.000000            0.040816             0.020408   \n",
       "4               0.0   0.000000            0.047059             0.023529   \n",
       "\n",
       "   Jazz Club  Jewelry Store  Jewish Restaurant  Juice Bar  Korean Restaurant  \\\n",
       "0   0.010000       0.000000                0.0   0.010000           0.000000   \n",
       "1   0.000000       0.000000                0.0   0.045455           0.000000   \n",
       "2   0.017544       0.000000                0.0   0.000000           0.000000   \n",
       "3   0.000000       0.020408                0.0   0.000000           0.000000   \n",
       "4   0.000000       0.000000                0.0   0.011765           0.011765   \n",
       "\n",
       "   Lake  Latin American Restaurant  Lingerie Store  Liquor Store    Lounge  \\\n",
       "0   0.0                       0.01             0.0      0.000000  0.010000   \n",
       "1   0.0                       0.00             0.0      0.045455  0.000000   \n",
       "2   0.0                       0.00             0.0      0.017544  0.017544   \n",
       "3   0.0                       0.00             0.0      0.020408  0.000000   \n",
       "4   0.0                       0.00             0.0      0.000000  0.000000   \n",
       "\n",
       "   Mac & Cheese Joint    Market  Martial Arts Dojo  Mediterranean Restaurant  \\\n",
       "0                 0.0  0.000000                0.0                      0.01   \n",
       "1                 0.0  0.000000                0.0                      0.00   \n",
       "2                 0.0  0.000000                0.0                      0.00   \n",
       "3                 0.0  0.020408                0.0                      0.00   \n",
       "4                 0.0  0.000000                0.0                      0.00   \n",
       "\n",
       "   Men's Store  Mexican Restaurant  Middle Eastern Restaurant  \\\n",
       "0          0.0                 0.0                   0.000000   \n",
       "1          0.0                 0.0                   0.000000   \n",
       "2          0.0                 0.0                   0.000000   \n",
       "3          0.0                 0.0                   0.000000   \n",
       "4          0.0                 0.0                   0.023529   \n",
       "\n",
       "   Miscellaneous Shop  Modern European Restaurant  \\\n",
       "0            0.000000                    0.010000   \n",
       "1            0.000000                    0.000000   \n",
       "2            0.000000                    0.000000   \n",
       "3            0.000000                    0.000000   \n",
       "4            0.011765                    0.011765   \n",
       "\n",
       "   Molecular Gastronomy Restaurant  Monument / Landmark  Movie Theater  \\\n",
       "0                              0.0                 0.01            0.0   \n",
       "1                              0.0                 0.00            0.0   \n",
       "2                              0.0                 0.00            0.0   \n",
       "3                              0.0                 0.00            0.0   \n",
       "4                              0.0                 0.00            0.0   \n",
       "\n",
       "     Museum  Music Store  Music Venue  Neighborhood  New American Restaurant  \\\n",
       "0  0.000000          0.0          0.0          0.01                     0.01   \n",
       "1  0.000000          0.0          0.0          0.00                     0.00   \n",
       "2  0.017544          0.0          0.0          0.00                     0.00   \n",
       "3  0.000000          0.0          0.0          0.00                     0.00   \n",
       "4  0.000000          0.0          0.0          0.00                     0.00   \n",
       "\n",
       "   Nightclub  Noodle House    Office  Opera House  Optical Shop  \\\n",
       "0        0.0          0.01  0.010000         0.01           0.0   \n",
       "1        0.0          0.00  0.000000         0.00           0.0   \n",
       "2        0.0          0.00  0.000000         0.00           0.0   \n",
       "3        0.0          0.00  0.000000         0.00           0.0   \n",
       "4        0.0          0.00  0.011765         0.00           0.0   \n",
       "\n",
       "   Organic Grocery  Other Great Outdoors      Park  Performing Arts Venue  \\\n",
       "0              0.0                   0.0  0.000000                    0.0   \n",
       "1              0.0                   0.0  0.000000                    0.0   \n",
       "2              0.0                   0.0  0.017544                    0.0   \n",
       "3              0.0                   0.0  0.040816                    0.0   \n",
       "4              0.0                   0.0  0.011765                    0.0   \n",
       "\n",
       "   Persian Restaurant  Pet Store  Pharmacy  Pizza Place  Playground  Plaza  \\\n",
       "0                 0.0   0.000000  0.000000     0.020000    0.000000   0.01   \n",
       "1                 0.0   0.000000  0.045455     0.045455    0.000000   0.00   \n",
       "2                 0.0   0.000000  0.000000     0.000000    0.000000   0.00   \n",
       "3                 0.0   0.020408  0.020408     0.061224    0.020408   0.00   \n",
       "4                 0.0   0.000000  0.000000     0.011765    0.000000   0.00   \n",
       "\n",
       "   Poke Place  Polish Restaurant  Portuguese Restaurant  Poutine Place  \\\n",
       "0    0.010000                0.0               0.000000            0.0   \n",
       "1    0.000000                0.0               0.000000            0.0   \n",
       "2    0.000000                0.0               0.000000            0.0   \n",
       "3    0.000000                0.0               0.000000            0.0   \n",
       "4    0.011765                0.0               0.011765            0.0   \n",
       "\n",
       "        Pub  Ramen Restaurant  Record Shop  Rental Car Location  Restaurant  \\\n",
       "0  0.000000          0.000000         0.01                  0.0    0.030000   \n",
       "1  0.045455          0.000000         0.00                  0.0    0.045455   \n",
       "2  0.017544          0.000000         0.00                  0.0    0.017544   \n",
       "3  0.040816          0.000000         0.00                  0.0    0.040816   \n",
       "4  0.000000          0.011765         0.00                  0.0    0.000000   \n",
       "\n",
       "   Roof Deck  Sake Bar  Salad Place  Salon / Barbershop  Sandwich Place  \\\n",
       "0        0.0       0.0     0.010000                0.01        0.000000   \n",
       "1        0.0       0.0     0.000000                0.00        0.045455   \n",
       "2        0.0       0.0     0.000000                0.00        0.000000   \n",
       "3        0.0       0.0     0.000000                0.00        0.020408   \n",
       "4        0.0       0.0     0.023529                0.00        0.035294   \n",
       "\n",
       "   Scenic Lookout  Sculpture Garden  Seafood Restaurant  Shoe Store  \\\n",
       "0             0.0               0.0            0.010000         0.0   \n",
       "1             0.0               0.0            0.000000         0.0   \n",
       "2             0.0               0.0            0.035088         0.0   \n",
       "3             0.0               0.0            0.000000         0.0   \n",
       "4             0.0               0.0            0.011765         0.0   \n",
       "\n",
       "   Shopping Mall  Skating Rink  Smoke Shop  Smoothie Shop  Snack Place  \\\n",
       "0       0.000000           0.0        0.01       0.000000     0.000000   \n",
       "1       0.000000           0.0        0.00       0.000000     0.000000   \n",
       "2       0.017544           0.0        0.00       0.000000     0.000000   \n",
       "3       0.000000           0.0        0.00       0.000000     0.020408   \n",
       "4       0.000000           0.0        0.00       0.011765     0.000000   \n",
       "\n",
       "   Soup Place  Southern / Soul Food Restaurant       Spa  Speakeasy  \\\n",
       "0         0.0                              0.0  0.000000       0.01   \n",
       "1         0.0                              0.0  0.000000       0.00   \n",
       "2         0.0                              0.0  0.000000       0.00   \n",
       "3         0.0                              0.0  0.000000       0.00   \n",
       "4         0.0                              0.0  0.023529       0.00   \n",
       "\n",
       "   Sporting Goods Shop  Sports Bar  Stationery Store  Steakhouse  Strip Club  \\\n",
       "0                  0.0         0.0               0.0    0.040000         0.0   \n",
       "1                  0.0         0.0               0.0    0.000000         0.0   \n",
       "2                  0.0         0.0               0.0    0.035088         0.0   \n",
       "3                  0.0         0.0               0.0    0.000000         0.0   \n",
       "4                  0.0         0.0               0.0    0.011765         0.0   \n",
       "\n",
       "   Supermarket  Supplement Shop  Sushi Restaurant  Taco Place  Tailor Shop  \\\n",
       "0          0.0              0.0          0.020000         0.0     0.000000   \n",
       "1          0.0              0.0          0.045455         0.0     0.000000   \n",
       "2          0.0              0.0          0.000000         0.0     0.017544   \n",
       "3          0.0              0.0          0.000000         0.0     0.000000   \n",
       "4          0.0              0.0          0.023529         0.0     0.000000   \n",
       "\n",
       "   Taiwanese Restaurant  Tanning Salon  Tapas Restaurant  Tea Room  \\\n",
       "0              0.000000            0.0               0.0  0.000000   \n",
       "1              0.000000            0.0               0.0  0.000000   \n",
       "2              0.000000            0.0               0.0  0.017544   \n",
       "3              0.020408            0.0               0.0  0.000000   \n",
       "4              0.000000            0.0               0.0  0.011765   \n",
       "\n",
       "   Tennis Court  Thai Restaurant  Theater  Theme Restaurant  \\\n",
       "0           0.0         0.030000     0.01               0.0   \n",
       "1           0.0         0.045455     0.00               0.0   \n",
       "2           0.0         0.017544     0.00               0.0   \n",
       "3           0.0         0.020408     0.00               0.0   \n",
       "4           0.0         0.011765     0.00               0.0   \n",
       "\n",
       "   Thrift / Vintage Store  Toy / Game Store  Trail  Train Station  \\\n",
       "0                     0.0               0.0    0.0            0.0   \n",
       "1                     0.0               0.0    0.0            0.0   \n",
       "2                     0.0               0.0    0.0            0.0   \n",
       "3                     0.0               0.0    0.0            0.0   \n",
       "4                     0.0               0.0    0.0            0.0   \n",
       "\n",
       "   Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n",
       "0                       0.010000               0.0                    0.0   \n",
       "1                       0.000000               0.0                    0.0   \n",
       "2                       0.017544               0.0                    0.0   \n",
       "3                       0.000000               0.0                    0.0   \n",
       "4                       0.011765               0.0                    0.0   \n",
       "\n",
       "   Wine Bar  Wings Joint  Women's Store  Yoga Studio  \n",
       "0  0.010000          0.0            0.0     0.000000  \n",
       "1  0.000000          0.0            0.0     0.000000  \n",
       "2  0.000000          0.0            0.0     0.000000  \n",
       "3  0.000000          0.0            0.0     0.000000  \n",
       "4  0.011765          0.0            0.0     0.011765  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighbourhood').mean().reset_index()\n",
    "toronto_grouped.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's confirm the new size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(29, 221)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's print each Neighbourhood along with the top 5 most common venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Adelaide, King, Richmond----\n",
      "          venue  freq\n",
      "0   Coffee Shop  0.07\n",
      "1          Café  0.05\n",
      "2    Steakhouse  0.04\n",
      "3           Bar  0.04\n",
      "4  Burger Joint  0.03\n",
      "\n",
      "\n",
      "----Bedford Park, Lawrence Manor East----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.09\n",
      "1  Italian Restaurant  0.09\n",
      "2           Juice Bar  0.05\n",
      "3      Sandwich Place  0.05\n",
      "4    Sushi Restaurant  0.05\n",
      "\n",
      "\n",
      "----Berczy Park----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.09\n",
      "1    Cocktail Bar  0.05\n",
      "2          Bakery  0.04\n",
      "3     Cheese Shop  0.04\n",
      "4  Farmers Market  0.04\n",
      "\n",
      "\n",
      "----Cabbagetown, St. James Town----\n",
      "         venue  freq\n",
      "0  Pizza Place  0.06\n",
      "1  Coffee Shop  0.06\n",
      "2         Café  0.04\n",
      "3         Park  0.04\n",
      "4          Pub  0.04\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.14\n",
      "1                Café  0.06\n",
      "2      Ice Cream Shop  0.05\n",
      "3  Italian Restaurant  0.05\n",
      "4      Sandwich Place  0.04\n",
      "\n",
      "\n",
      "----Chinatown, Grange Park, Kensington Market----\n",
      "                           venue  freq\n",
      "0                           Café  0.07\n",
      "1  Vegetarian / Vegan Restaurant  0.06\n",
      "2             Chinese Restaurant  0.05\n",
      "3                            Bar  0.05\n",
      "4             Mexican Restaurant  0.04\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.07\n",
      "1  Japanese Restaurant  0.06\n",
      "2     Sushi Restaurant  0.05\n",
      "3              Gay Bar  0.03\n",
      "4           Restaurant  0.03\n",
      "\n",
      "\n",
      "----Commerce Court, Victoria Hotel----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.09\n",
      "1                 Café  0.06\n",
      "2                Hotel  0.06\n",
      "3  American Restaurant  0.04\n",
      "4           Restaurant  0.04\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "             venue  freq\n",
      "0     Dessert Shop  0.09\n",
      "1   Sandwich Place  0.09\n",
      "2      Pizza Place  0.06\n",
      "3       Restaurant  0.06\n",
      "4  Thai Restaurant  0.06\n",
      "\n",
      "\n",
      "----Design Exchange, Toronto Dominion Centre----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.12\n",
      "1               Hotel  0.07\n",
      "2                Café  0.07\n",
      "3          Restaurant  0.05\n",
      "4  Italian Restaurant  0.04\n",
      "\n",
      "\n",
      "----Fairview, Henry Farm, Oriole----\n",
      "                  venue  freq\n",
      "0        Clothing Store  0.13\n",
      "1  Fast Food Restaurant  0.08\n",
      "2           Coffee Shop  0.08\n",
      "3         Women's Store  0.05\n",
      "4   Japanese Restaurant  0.03\n",
      "\n",
      "\n",
      "----First Canadian Place, Underground city----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.09\n",
      "1         Café  0.07\n",
      "2   Restaurant  0.04\n",
      "3   Steakhouse  0.04\n",
      "4        Hotel  0.04\n",
      "\n",
      "\n",
      "----Flemingdon Park, Don Mills South----\n",
      "                venue  freq\n",
      "0                 Gym  0.10\n",
      "1    Asian Restaurant  0.10\n",
      "2         Coffee Shop  0.10\n",
      "3          Beer Store  0.10\n",
      "4  Dim Sum Restaurant  0.05\n",
      "\n",
      "\n",
      "----Harbord, University of Toronto----\n",
      "                 venue  freq\n",
      "0                 Café  0.12\n",
      "1            Bookstore  0.06\n",
      "2           Restaurant  0.06\n",
      "3  Japanese Restaurant  0.06\n",
      "4                  Bar  0.06\n",
      "\n",
      "\n",
      "----Harbourfront East, Toronto Islands, Union Station----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1               Hotel  0.05\n",
      "2            Aquarium  0.05\n",
      "3  Italian Restaurant  0.04\n",
      "4                Café  0.04\n",
      "\n",
      "\n",
      "----Harbourfront, Regent Park----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.16\n",
      "1         Café  0.06\n",
      "2         Park  0.06\n",
      "3       Bakery  0.06\n",
      "4          Pub  0.06\n",
      "\n",
      "\n",
      "----High Park, The Junction South----\n",
      "                venue  freq\n",
      "0                Café  0.08\n",
      "1  Mexican Restaurant  0.08\n",
      "2               Diner  0.04\n",
      "3                Park  0.04\n",
      "4           Speakeasy  0.04\n",
      "\n",
      "\n",
      "----Leaside----\n",
      "                    venue  freq\n",
      "0             Coffee Shop  0.12\n",
      "1     Sporting Goods Shop  0.09\n",
      "2            Burger Joint  0.06\n",
      "3  Furniture / Home Store  0.06\n",
      "4                 Brewery  0.03\n",
      "\n",
      "\n",
      "----Little Portugal, Trinity----\n",
      "              venue  freq\n",
      "0               Bar  0.12\n",
      "1       Coffee Shop  0.06\n",
      "2  Asian Restaurant  0.05\n",
      "3            Bakery  0.03\n",
      "4          Boutique  0.03\n",
      "\n",
      "\n",
      "----North Toronto West----\n",
      "                 venue  freq\n",
      "0  Sporting Goods Shop  0.10\n",
      "1       Clothing Store  0.10\n",
      "2          Coffee Shop  0.10\n",
      "3          Yoga Studio  0.05\n",
      "4                 Park  0.05\n",
      "\n",
      "\n",
      "----Queen's Park----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.23\n",
      "1                 Gym  0.05\n",
      "2               Diner  0.05\n",
      "3                Park  0.05\n",
      "4  Seafood Restaurant  0.03\n",
      "\n",
      "\n",
      "----Runnymede, Swansea----\n",
      "                venue  freq\n",
      "0                Café  0.09\n",
      "1         Coffee Shop  0.09\n",
      "2  Italian Restaurant  0.06\n",
      "3            Tea Room  0.06\n",
      "4    Sushi Restaurant  0.06\n",
      "\n",
      "\n",
      "----Ryerson, Garden District----\n",
      "                       venue  freq\n",
      "0                Coffee Shop  0.10\n",
      "1             Clothing Store  0.06\n",
      "2             Cosmetics Shop  0.04\n",
      "3                       Café  0.03\n",
      "4  Middle Eastern Restaurant  0.03\n",
      "\n",
      "\n",
      "----St. James Town----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.07\n",
      "1          Restaurant  0.06\n",
      "2                Café  0.05\n",
      "3               Hotel  0.05\n",
      "4  Italian Restaurant  0.04\n",
      "\n",
      "\n",
      "----Stn A PO Boxes 25 The Esplanade----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.11\n",
      "1          Restaurant  0.04\n",
      "2  Italian Restaurant  0.04\n",
      "3  Seafood Restaurant  0.04\n",
      "4                Café  0.04\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "                 venue  freq\n",
      "0                 Café  0.10\n",
      "1          Coffee Shop  0.08\n",
      "2  American Restaurant  0.05\n",
      "3   Italian Restaurant  0.05\n",
      "4               Bakery  0.05\n",
      "\n",
      "\n",
      "----The Annex, North Midtown, Yorkville----\n",
      "            venue  freq\n",
      "0  Sandwich Place  0.12\n",
      "1     Coffee Shop  0.12\n",
      "2            Café  0.12\n",
      "3     Pizza Place  0.08\n",
      "4             Pub  0.04\n",
      "\n",
      "\n",
      "----The Danforth West, Riverdale----\n",
      "                    venue  freq\n",
      "0        Greek Restaurant  0.21\n",
      "1             Coffee Shop  0.09\n",
      "2      Italian Restaurant  0.07\n",
      "3          Ice Cream Shop  0.05\n",
      "4  Furniture / Home Store  0.05\n",
      "\n",
      "\n",
      "----Willowdale South----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.08\n",
      "1     Ramen Restaurant  0.08\n",
      "2           Restaurant  0.06\n",
      "3                 Café  0.06\n",
      "4  Japanese Restaurant  0.06\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in toronto_grouped['Neighbourhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = toronto_grouped[toronto_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"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's write a function to sort the venues in descending order."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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 Neighbourhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       Neighbourhood 1st Most Common Venue  \\\n",
       "0           Adelaide, King, Richmond           Coffee Shop   \n",
       "1  Bedford Park, Lawrence Manor East    Italian Restaurant   \n",
       "2                        Berczy Park           Coffee Shop   \n",
       "3        Cabbagetown, St. James Town           Coffee Shop   \n",
       "4                 Central Bay Street           Coffee Shop   \n",
       "\n",
       "  2nd Most Common Venue    3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0                  Café               Steakhouse                   Bar   \n",
       "1           Coffee Shop  Comfort Food Restaurant              Pharmacy   \n",
       "2          Cocktail Bar              Cheese Shop    Italian Restaurant   \n",
       "3           Pizza Place               Restaurant                   Pub   \n",
       "4                  Café           Ice Cream Shop    Italian Restaurant   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0                 Hotel   American Restaurant          Burger Joint   \n",
       "1                  Café        Sandwich Place            Restaurant   \n",
       "2            Steakhouse    Seafood Restaurant              Beer Bar   \n",
       "3    Italian Restaurant                  Park                  Café   \n",
       "4          Burger Joint        Sandwich Place    Chinese Restaurant   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0            Restaurant        Breakfast Spot         Cosmetics Shop  \n",
       "1                   Pub           Pizza Place         Cosmetics Shop  \n",
       "2                  Café                Bakery         Farmers Market  \n",
       "3                Bakery         Grocery Store         Farmers Market  \n",
       "4                   Bar       Bubble Tea Shop            Salad Place  "
      ]
     },
     "execution_count": 41,
     "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",
    "Neighbourhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "Neighbourhoods_venues_sorted['Neighbourhood'] = toronto_grouped['Neighbourhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    Neighbourhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "Neighbourhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster Neighbourhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run *k*-means to cluster the Neighbourhood into 5 clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 1, 2, 1, 0, 1, 0, 1, 0, 1, 2, 0, 0, 2, 1, 2, 1, 1, 0,\n",
       "       1, 0, 0, 0, 0, 1, 1])"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 3\n",
    "\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighbourhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create a new dataframe that includes the cluster as well as the top 10 venues for each neighbourhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop Cluster Labels if the column already exist\n",
    "try: \n",
    "    Neighbourhoods_venues_sorted.drop(columns='Cluster Labels', inplace=True)\n",
    "except:\n",
    "    pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# add clustering labels\n",
    "Neighbourhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "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>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Fairview, Henry Farm, Oriole</td>\n",
       "      <td>M2J</td>\n",
       "      <td>North York</td>\n",
       "      <td>43.778517</td>\n",
       "      <td>-79.346556</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Willowdale South</td>\n",
       "      <td>M2N</td>\n",
       "      <td>North York</td>\n",
       "      <td>43.770120</td>\n",
       "      <td>-79.408493</td>\n",
       "      <td>1</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Flemingdon Park, Don Mills South</td>\n",
       "      <td>M3C</td>\n",
       "      <td>North York</td>\n",
       "      <td>43.725900</td>\n",
       "      <td>-79.340923</td>\n",
       "      <td>1</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Leaside</td>\n",
       "      <td>M4G</td>\n",
       "      <td>East York</td>\n",
       "      <td>43.709060</td>\n",
       "      <td>-79.363452</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>M4K</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>43.679557</td>\n",
       "      <td>-79.352188</td>\n",
       "      <td>1</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Neighbourhood Postcode       Borough   Latitude  \\\n",
       "0      Fairview, Henry Farm, Oriole      M2J    North York  43.778517   \n",
       "1                  Willowdale South      M2N    North York  43.770120   \n",
       "2  Flemingdon Park, Don Mills South      M3C    North York  43.725900   \n",
       "3                           Leaside      M4G     East York  43.709060   \n",
       "4      The Danforth West, Riverdale      M4K  East Toronto  43.679557   \n",
       "\n",
       "   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0 -79.346556               1        Clothing Store  Fast Food Restaurant   \n",
       "1 -79.408493               1      Ramen Restaurant           Coffee Shop   \n",
       "2 -79.340923               1                   Gym            Beer Store   \n",
       "3 -79.363452               1           Coffee Shop   Sporting Goods Shop   \n",
       "4 -79.352188               1      Greek Restaurant           Coffee Shop   \n",
       "\n",
       "  3rd Most Common Venue   4th Most Common Venue   5th Most Common Venue  \\\n",
       "0           Coffee Shop           Women's Store             Bus Station   \n",
       "1            Restaurant                    Café          Sandwich Place   \n",
       "2      Asian Restaurant             Coffee Shop          Discount Store   \n",
       "3          Burger Joint  Furniture / Home Store           Grocery Store   \n",
       "4    Italian Restaurant          Ice Cream Shop  Furniture / Home Store   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0   Sporting Goods Shop      Asian Restaurant                Bakery   \n",
       "1   Japanese Restaurant      Sushi Restaurant           Pizza Place   \n",
       "2        Sandwich Place             Bike Shop            Restaurant   \n",
       "3         Shopping Mall     Food & Drink Shop            Sports Bar   \n",
       "4           Yoga Studio                   Pub                   Spa   \n",
       "\n",
       "  9th Most Common Venue     10th Most Common Venue  \n",
       "0   Japanese Restaurant              Burrito Place  \n",
       "1        Ice Cream Shop  Middle Eastern Restaurant  \n",
       "2        Clothing Store       Fast Food Restaurant  \n",
       "3        Breakfast Spot                    Brewery  \n",
       "4               Brewery            Bubble Tea Shop  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each Neighbourhood\n",
    "toronto_merged = Neighbourhoods.join(Neighbourhoods_venues_sorted.set_index('Neighbourhood'), on='Neighbourhood')\n",
    "toronto_merged.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "#toronto_merged[toronto_merged['Cluster Labels'].isnull()]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's visualize the resulting clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
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        circle_marker_2787ba867c9e47b7b1e9fd4d46f13788.bindPopup(popup_91df82f8fa58420487f7b8249e23af44)
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        circle_marker_a06541c7b90549f1a9c8d49ae3da3182.bindPopup(popup_496684d3fde04767891a9d0e9e7c5b89)
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        circle_marker_518952ec972b4d8b9c157538ef8a373a.bindPopup(popup_e6f2ef194c4946d898898effa5162656)
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        circle_marker_2ae47d08cd2c4bf4a82187238f186a3e.bindPopup(popup_8186295ce5eb48cd8b948a881d24ad00)
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        circle_marker_d3081a61dfb348b4a0a75b3f8824b722.bindPopup(popup_dafbf11466b649898049aa689d877047)
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1eae77e6d30>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighbourhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "the clusters appear to have a very distinct geographical pattern"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Examine the Clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, each of the clusters are examined and the different categories are attempted described."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<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>Postcode</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>M4M</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Coworking Space</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Cheese Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>M4X</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>M5A</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Event Space</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>M5C</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Clothing Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>M5E</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>M5H</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>M5J</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>M5K</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>M5L</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>M5M</td>\n",
       "      <td>0</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>M5R</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>Flower Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>M5W</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Park</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>M5X</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>M6S</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Diner</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "5       M4M               0                  Café           Coffee Shop   \n",
       "8       M4X               0           Coffee Shop           Pizza Place   \n",
       "10      M5A               0           Coffee Shop                  Café   \n",
       "12      M5C               0           Coffee Shop            Restaurant   \n",
       "13      M5E               0           Coffee Shop          Cocktail Bar   \n",
       "15      M5H               0           Coffee Shop                  Café   \n",
       "16      M5J               0           Coffee Shop              Aquarium   \n",
       "17      M5K               0           Coffee Shop                 Hotel   \n",
       "18      M5L               0           Coffee Shop                  Café   \n",
       "19      M5M               0    Italian Restaurant           Coffee Shop   \n",
       "20      M5R               0                  Café           Coffee Shop   \n",
       "23      M5W               0           Coffee Shop                  Café   \n",
       "24      M5X               0           Coffee Shop                  Café   \n",
       "27      M6S               0           Coffee Shop                  Café   \n",
       "\n",
       "      3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "5       American Restaurant    Italian Restaurant                Bakery   \n",
       "8                Restaurant                   Pub    Italian Restaurant   \n",
       "10                      Pub                  Park                Bakery   \n",
       "12                     Café                 Hotel    Italian Restaurant   \n",
       "13              Cheese Shop    Italian Restaurant            Steakhouse   \n",
       "15               Steakhouse                   Bar                 Hotel   \n",
       "16                    Hotel    Italian Restaurant                  Café   \n",
       "17                     Café            Restaurant    Italian Restaurant   \n",
       "18                    Hotel            Restaurant   American Restaurant   \n",
       "19  Comfort Food Restaurant              Pharmacy                  Café   \n",
       "20           Sandwich Place           Pizza Place             BBQ Joint   \n",
       "23       Italian Restaurant            Restaurant    Seafood Restaurant   \n",
       "24                    Hotel            Steakhouse            Restaurant   \n",
       "27              Pizza Place    Italian Restaurant              Tea Room   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "5            Yoga Studio       Coworking Space    Seafood Restaurant   \n",
       "8                   Park                  Café                Bakery   \n",
       "10  Gym / Fitness Center    Mexican Restaurant        Breakfast Spot   \n",
       "12              Beer Bar        Cosmetics Shop             Gastropub   \n",
       "13    Seafood Restaurant              Beer Bar                  Café   \n",
       "15   American Restaurant          Burger Joint            Restaurant   \n",
       "16                Bakery           Pizza Place   Fried Chicken Joint   \n",
       "17                   Bar         Deli / Bodega             Gastropub   \n",
       "18                   Gym    Seafood Restaurant         Deli / Bodega   \n",
       "19        Sandwich Place            Restaurant                   Pub   \n",
       "20           Flower Shop                   Pub          Liquor Store   \n",
       "23          Cocktail Bar                 Hotel              Beer Bar   \n",
       "24         Deli / Bodega      Asian Restaurant                   Gym   \n",
       "27      Sushi Restaurant                   Pub        Sandwich Place   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "5         Sandwich Place            Cheese Shop  \n",
       "8          Grocery Store         Farmers Market  \n",
       "10               Theater            Event Space  \n",
       "12          Cocktail Bar         Clothing Store  \n",
       "13                Bakery         Farmers Market  \n",
       "15        Breakfast Spot         Cosmetics Shop  \n",
       "16   Sporting Goods Shop         Scenic Lookout  \n",
       "17   American Restaurant                    Gym  \n",
       "18            Steakhouse                 Bakery  \n",
       "19           Pizza Place         Cosmetics Shop  \n",
       "20     Indian Restaurant                   Park  \n",
       "23                  Park         Farmers Market  \n",
       "24    Seafood Restaurant              Gastropub  \n",
       "27                 Diner      French Restaurant  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cluster 1 looks like it's an area with high density of Coffee shops and cafes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M2J</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M2N</td>\n",
       "      <td>1</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M3C</td>\n",
       "      <td>1</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M4G</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M4K</td>\n",
       "      <td>1</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M4R</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Café</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>M4S</td>\n",
       "      <td>1</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>M4Y</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>M5B</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>M5G</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>M7A</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Park</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Café</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Creperie</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0       M2J               1        Clothing Store  Fast Food Restaurant   \n",
       "1       M2N               1      Ramen Restaurant           Coffee Shop   \n",
       "2       M3C               1                   Gym            Beer Store   \n",
       "3       M4G               1           Coffee Shop   Sporting Goods Shop   \n",
       "4       M4K               1      Greek Restaurant           Coffee Shop   \n",
       "6       M4R               1           Coffee Shop   Sporting Goods Shop   \n",
       "7       M4S               1          Dessert Shop        Sandwich Place   \n",
       "9       M4Y               1           Coffee Shop   Japanese Restaurant   \n",
       "11      M5B               1           Coffee Shop        Clothing Store   \n",
       "14      M5G               1           Coffee Shop                  Café   \n",
       "28      M7A               1           Coffee Shop                   Gym   \n",
       "\n",
       "   3rd Most Common Venue   4th Most Common Venue      5th Most Common Venue  \\\n",
       "0            Coffee Shop           Women's Store                Bus Station   \n",
       "1             Restaurant                    Café             Sandwich Place   \n",
       "2       Asian Restaurant             Coffee Shop             Discount Store   \n",
       "3           Burger Joint  Furniture / Home Store              Grocery Store   \n",
       "4     Italian Restaurant          Ice Cream Shop     Furniture / Home Store   \n",
       "6         Clothing Store             Yoga Studio         Mexican Restaurant   \n",
       "7            Pizza Place              Restaurant           Sushi Restaurant   \n",
       "9       Sushi Restaurant                 Gay Bar                 Restaurant   \n",
       "11        Cosmetics Shop                    Café  Middle Eastern Restaurant   \n",
       "14        Ice Cream Shop      Italian Restaurant               Burger Joint   \n",
       "28                  Park                   Diner                Yoga Studio   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "0    Sporting Goods Shop      Asian Restaurant                Bakery   \n",
       "1    Japanese Restaurant      Sushi Restaurant           Pizza Place   \n",
       "2         Sandwich Place             Bike Shop            Restaurant   \n",
       "3          Shopping Mall     Food & Drink Shop            Sports Bar   \n",
       "4            Yoga Studio                   Pub                   Spa   \n",
       "6                   Park                   Spa                  Café   \n",
       "7        Thai Restaurant                  Café    Italian Restaurant   \n",
       "9                  Hotel  Fast Food Restaurant          Burger Joint   \n",
       "11  Fast Food Restaurant           Pizza Place             Bookstore   \n",
       "14        Sandwich Place    Chinese Restaurant                   Bar   \n",
       "28                  Café                   Spa  Fast Food Restaurant   \n",
       "\n",
       "   9th Most Common Venue     10th Most Common Venue  \n",
       "0    Japanese Restaurant              Burrito Place  \n",
       "1         Ice Cream Shop  Middle Eastern Restaurant  \n",
       "2         Clothing Store       Fast Food Restaurant  \n",
       "3         Breakfast Spot                    Brewery  \n",
       "4                Brewery            Bubble Tea Shop  \n",
       "6     Salon / Barbershop         Chinese Restaurant  \n",
       "7            Coffee Shop                   Pharmacy  \n",
       "9                   Café                        Pub  \n",
       "11                 Plaza         Italian Restaurant  \n",
       "14       Bubble Tea Shop                Salad Place  \n",
       "28              Creperie               Burger Joint  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cluster 2 looks like an area with more clothing stores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "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>Postcode</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>M5S</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Bar</td>\n",
       "      <td>College Arts Building</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>M5T</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>M6J</td>\n",
       "      <td>2</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>French Restaurant</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>M6P</td>\n",
       "      <td>2</td>\n",
       "      <td>Café</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Flea Market</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Bowling Alley</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode  Cluster Labels 1st Most Common Venue  \\\n",
       "21      M5S               2                  Café   \n",
       "22      M5T               2                  Café   \n",
       "25      M6J               2                   Bar   \n",
       "26      M6P               2                  Café   \n",
       "\n",
       "            2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "21                     Restaurant             Bookstore   Japanese Restaurant   \n",
       "22  Vegetarian / Vegan Restaurant    Chinese Restaurant                   Bar   \n",
       "25                    Coffee Shop      Asian Restaurant          Cocktail Bar   \n",
       "26             Mexican Restaurant                   Bar  Fast Food Restaurant   \n",
       "\n",
       "   5th Most Common Venue  6th Most Common Venue  7th Most Common Venue  \\\n",
       "21                Bakery                    Bar  College Arts Building   \n",
       "22                Bakery  Vietnamese Restaurant    Dumpling Restaurant   \n",
       "25            Restaurant                 Bakery            Pizza Place   \n",
       "26           Flea Market              Speakeasy          Bowling Alley   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue  10th Most Common Venue  \n",
       "21        Sandwich Place    Chinese Restaurant                     Pub  \n",
       "22    Mexican Restaurant           Coffee Shop            Cocktail Bar  \n",
       "25           Men's Store     French Restaurant                    Café  \n",
       "26             Bookstore   Fried Chicken Joint  Furniture / Home Store  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Cluster 3 looks like an area with a lot of bars and cafes."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "End of assignment"
   ]
  }
 ],
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