final_project_file.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### This notebook is used for the IBM Coursera capstone project"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello Capstone Project Course!\n"
     ]
    }
   ],
   "source": [
    "print('Hello Capstone Project Course!')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q1: Create a Notebook for clustering neighborhoods in Toronto\n",
    "Get the data from Wikipedia"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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",
       " 282      M8Z         Etobicoke              Mimico NW\n",
       " 283      M8Z         Etobicoke     The Queensway West\n",
       " 284      M8Z         Etobicoke  Royal York South West\n",
       " 285      M8Z         Etobicoke         South of Bloor\n",
       " 286      M9Z      Not assigned           Not assigned\n",
       " \n",
       " [287 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": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# getting the table from the Wikipedia page\n",
    "url = 'https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\n",
    "\n",
    "df = pd.read_html(url)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Convert to a panda dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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",
       "  </tbody>\n",
       "</table>\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"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a panda dataframe containing the postcode, borough and neighborhood\n",
    "df = df[0]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Drop any cells with a borough that is Not assigned"
   ]
  },
  {
   "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>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>281</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Kingsway Park South West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>282</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Mimico NW</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>283</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>The Queensway West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>284</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Royal York South West</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>285</td>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>South of Bloor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>210 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        M6A        North York          Lawrence Heights\n",
       "6        M6A        North York            Lawrence Manor\n",
       "..       ...               ...                       ...\n",
       "281      M8Z         Etobicoke  Kingsway Park South West\n",
       "282      M8Z         Etobicoke                 Mimico NW\n",
       "283      M8Z         Etobicoke        The Queensway West\n",
       "284      M8Z         Etobicoke     Royal York South West\n",
       "285      M8Z         Etobicoke            South of Bloor\n",
       "\n",
       "[210 rows x 3 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# drop any cells with a borough that is Not assigned\n",
    "df = df.drop(df[df['Borough']=='Not assigned'].index,axis=0)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Combine more than one neighborhood that exist in one postal code area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Combine more than one neighborhood that exist in one postal code area\n",
    "df[\"Neighbourhood\"] = df.groupby(\"Postcode\")[\"Neighbourhood\"].transform(lambda neighbour: ', '.join(neighbour))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "<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>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights, Lawrence Manor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights, Lawrence Manor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\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      M6A        North York  Lawrence Heights, Lawrence Manor\n",
       "6      M6A        North York  Lawrence Heights, Lawrence Manor"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights, Lawrence Manor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\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      M6A        North York  Lawrence Heights, Lawrence Manor\n",
       "7      M7A  Downtown Toronto                      Queen's Park"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#remove duplicate rows\n",
    "df = df.drop_duplicates()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights, Lawrence Manor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough                     Neighbourhood\n",
       "0      M3A        North York                         Parkwoods\n",
       "1      M4A        North York                  Victoria Village\n",
       "2      M5A  Downtown Toronto                      Harbourfront\n",
       "3      M6A        North York  Lawrence Heights, Lawrence Manor\n",
       "4      M7A  Downtown Toronto                      Queen's Park"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# reset the index\n",
    "df = df.reset_index()\n",
    "del df['index']\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Replace 'Not assigned' neighborhood with the borough name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights, Lawrence Manor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough                     Neighbourhood\n",
       "0      M3A        North York                         Parkwoods\n",
       "1      M4A        North York                  Victoria Village\n",
       "2      M5A  Downtown Toronto                      Harbourfront\n",
       "3      M6A        North York  Lawrence Heights, Lawrence Manor\n",
       "4      M7A  Downtown Toronto                      Queen's Park"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Replace 'Not assigned' neighborhood with the borough name\n",
    "df['Neighbourhood'] = df['Neighbourhood'].replace(\"Not assigned\", df[\"Borough\"])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q2: Use the csv file to create a new dataframe that includes the Latitudes and Longitudes"
   ]
  },
  {
   "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>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": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read the Geospatial_Coordinates.csv as a pandas dataframe to get the Latitudes and Longitudes\n",
    "df_coord = pd.read_csv('Geospatial_Coordinates.csv')\n",
    "df_coord.head()"
   ]
  },
  {
   "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",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Heights, Lawrence Manor</td>\n",
       "      <td>43.718518</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postcode           Borough                     Neighbourhood   Latitude  \\\n",
       "0      M3A        North York                         Parkwoods  43.753259   \n",
       "1      M4A        North York                  Victoria Village  43.725882   \n",
       "2      M5A  Downtown Toronto                      Harbourfront  43.654260   \n",
       "3      M6A        North York  Lawrence Heights, Lawrence Manor  43.718518   \n",
       "4      M7A  Downtown Toronto                      Queen's Park  43.662301   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.329656  \n",
       "1 -79.315572  \n",
       "2 -79.360636  \n",
       "3 -79.464763  \n",
       "4 -79.389494  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge the Latitude and Longitude columns into our existing dataframe\n",
    "df2 = pd.merge(df,df_coord[['Postal Code','Latitude','Longitude']],left_on='Postcode',right_on='Postal Code',how='left')\n",
    "df2.drop(columns='Postal Code',inplace=True)\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Q3: Explore and cluster the neighborhoods in Toronto\n",
    "Install and import the necessary libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "import requests # library to handle requests\n",
    "import random # library for random number generation\n",
    "\n",
    "# install and import geopy library\n",
    "#!pip install geopy\n",
    "from geopy.geocoders import Nominatim # module to convert an address into latitude and longitude values\n",
    "\n",
    "# libraries for displaying images\n",
    "from IPython.display import Image \n",
    "from IPython.core.display import HTML \n",
    "    \n",
    "# tranforming json file into a pandas dataframe library\n",
    "from pandas.io.json import json_normalize\n",
    "\n",
    "# install and import folium library\n",
    "#!pip install folium\n",
    "import folium \n",
    "\n",
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Filter our dataframe to include only neighborhoods in Toronto"
   ]
  },
  {
   "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>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>2</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Postcode           Borough             Neighbourhood   Latitude  Longitude\n",
       "2       M5A  Downtown Toronto              Harbourfront  43.654260 -79.360636\n",
       "4       M7A  Downtown Toronto              Queen's Park  43.662301 -79.389494\n",
       "9       M5B  Downtown Toronto  Ryerson, Garden District  43.657162 -79.378937\n",
       "15      M5C  Downtown Toronto            St. James Town  43.651494 -79.375418\n",
       "19      M4E      East Toronto               The Beaches  43.676357 -79.293031"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter our dataframe to include only neighborhoods in Toronto\n",
    "toronto_df = df2[df2['Borough'].str.contains('Toronto')]\n",
    "toronto_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Obtain the latitude and longitude of Toronto, Canada"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The coordinate of Toronto, Canada are 43.653963, -79.387207.\n"
     ]
    }
   ],
   "source": [
    "# get the latitude and longitude of Toronto, Canada\n",
    "address = 'Toronto, Canada'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"foursquare_agent\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The coordinate of Toronto, Canada are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a map of Toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
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            <meta name="viewport" content="width=device-width,
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            <div class="folium-map" id="map_0ec6b35d49674a8f8610d2cb4197e1fa" ></div>
        
</body>
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        var popup_a645c9c6a36c476b954655290aafc3f2 = L.popup({"maxWidth": "100%"});

        
            var html_15b06893197147ee97648250b748b4b8 = $(`<div id="html_15b06893197147ee97648250b748b4b8" style="width: 100.0%; height: 100.0%;">Chinatown, Grange Park, Kensington Market, Downtown Toronto</div>`)[0];
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            var html_6dffbf4a787b44d6a13353dc92d99d79 = $(`<div id="html_6dffbf4a787b44d6a13353dc92d99d79" style="width: 100.0%; height: 100.0%;">Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West, Central Toronto</div>`)[0];
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            var circle_marker_2fc4fceb5ead4876a131877a6bf9d88f = L.circleMarker(
                [43.6289467, -79.3944199],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0ec6b35d49674a8f8610d2cb4197e1fa);
        
    
        var popup_2982b2be8a6646278249ef7bb0bffdec = L.popup({"maxWidth": "100%"});

        
            var html_aed58fcec9df4d4aa91e9251085441b8 = $(`<div id="html_aed58fcec9df4d4aa91e9251085441b8" style="width: 100.0%; height: 100.0%;">CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara, Downtown Toronto</div>`)[0];
            popup_2982b2be8a6646278249ef7bb0bffdec.setContent(html_aed58fcec9df4d4aa91e9251085441b8);
        

        circle_marker_2fc4fceb5ead4876a131877a6bf9d88f.bindPopup(popup_2982b2be8a6646278249ef7bb0bffdec)
        ;

        
    
    
            var circle_marker_2cecaf8d7cc14805b95f38460ba03ff0 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0ec6b35d49674a8f8610d2cb4197e1fa);
        
    
        var popup_d61bf7974fbe40cd86ee0eb81a1f280a = L.popup({"maxWidth": "100%"});

        
            var html_67a05b20553d41debe91c41ef22a6ad1 = $(`<div id="html_67a05b20553d41debe91c41ef22a6ad1" style="width: 100.0%; height: 100.0%;">Rosedale, Downtown Toronto</div>`)[0];
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        circle_marker_2cecaf8d7cc14805b95f38460ba03ff0.bindPopup(popup_d61bf7974fbe40cd86ee0eb81a1f280a)
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            var circle_marker_3098c25d20224c3d9ce395f9edbe8679 = L.circleMarker(
                [43.6464352, -79.37484599999999],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0ec6b35d49674a8f8610d2cb4197e1fa);
        
    
        var popup_41ce2c92b9524779ba40508224ccc3fe = L.popup({"maxWidth": "100%"});

        
            var html_24691a8c06ec4b20bd2ec060dffe3c7d = $(`<div id="html_24691a8c06ec4b20bd2ec060dffe3c7d" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes 25 The Esplanade, Downtown Toronto</div>`)[0];
            popup_41ce2c92b9524779ba40508224ccc3fe.setContent(html_24691a8c06ec4b20bd2ec060dffe3c7d);
        

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        ;

        
    
    
            var circle_marker_80891cc914594f269c45b0412d1b9727 = L.circleMarker(
                [43.667967, -79.3676753],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0ec6b35d49674a8f8610d2cb4197e1fa);
        
    
        var popup_6e4ed9912ded4d2cacb12dff1690ca4f = L.popup({"maxWidth": "100%"});

        
            var html_2427f3145ee940d7b5246af81c7e33c4 = $(`<div id="html_2427f3145ee940d7b5246af81c7e33c4" style="width: 100.0%; height: 100.0%;">Cabbagetown, St. James Town, Downtown Toronto</div>`)[0];
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        ;

        
    
    
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                [43.6484292, -79.3822802],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0ec6b35d49674a8f8610d2cb4197e1fa);
        
    
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            var html_5a27a1ae1a7b4664b3f0a9e86f836c17 = $(`<div id="html_5a27a1ae1a7b4664b3f0a9e86f836c17" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city, Downtown Toronto</div>`)[0];
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        ;

        
    
    
            var circle_marker_6c22677775d34734b8ebec3ab7c76714 = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0ec6b35d49674a8f8610d2cb4197e1fa);
        
    
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            var html_c1aba746fdc445bc995e80ac5478a1d0 = $(`<div id="html_c1aba746fdc445bc995e80ac5478a1d0" style="width: 100.0%; height: 100.0%;">Church and Wellesley, Downtown Toronto</div>`)[0];
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        ;

        
    
    
            var circle_marker_a987e7da62fc426cb97d33345985e8d3 = L.circleMarker(
                [43.6627439, -79.321558],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0ec6b35d49674a8f8610d2cb4197e1fa);
        
    
        var popup_08a75c1220bf4744a1f53b88d2b2ea48 = L.popup({"maxWidth": "100%"});

        
            var html_6b77fbc2879c4f7fb5d485ba76e02afd = $(`<div id="html_6b77fbc2879c4f7fb5d485ba76e02afd" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern, East Toronto</div>`)[0];
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        circle_marker_a987e7da62fc426cb97d33345985e8d3.bindPopup(popup_08a75c1220bf4744a1f53b88d2b2ea48)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x2005d524988>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Toronto using the above latitude and longitude values\n",
    "toronto_map = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "# add neighbourhoods to the map as blue circle markers\n",
    "for lat, lng, borough, neighborhood in zip(toronto_df['Latitude'], toronto_df['Longitude'], toronto_df['Borough'], toronto_df['Neighbourhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(toronto_map)  \n",
    "    \n",
    "toronto_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Credentials for foursquare.com"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentials:\n",
      "CLIENT_ID: LK12XC23RU5E4H2PBVOY5XCRAP4VCKSRVW5D3IZUCF1BSTS3\n",
      "CLIENT_SECRET:PWD0IYBE5HUF5LDEL54TRPEIRRK030HZ1DNFKULYJHGEPBGN\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'LK12XC23RU5E4H2PBVOY5XCRAP4VCKSRVW5D3IZUCF1BSTS3' # your Foursquare ID\n",
    "CLIENT_SECRET = 'PWD0IYBE5HUF5LDEL54TRPEIRRK030HZ1DNFKULYJHGEPBGN' # your Foursquare Secret\n",
    "VERSION = '20180604'\n",
    "LIMIT = 30\n",
    "print('Your credentials:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Initial analysis for one neighborhood only"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Parkwoods are 43.7532586, -79.3296565.\n"
     ]
    }
   ],
   "source": [
    "# explore the first neighborhood in our dataframe\n",
    "neighborhood_latitude = df2['Latitude'][0] # the latitude value\n",
    "neighborhood_longitude = df2['Longitude'][0] # the longitude value\n",
    "\n",
    "neighborhood_name = df2['Neighbourhood'][0] # the name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?&client_id=LK12XC23RU5E4H2PBVOY5XCRAP4VCKSRVW5D3IZUCF1BSTS3&client_secret=PWD0IYBE5HUF5LDEL54TRPEIRRK030HZ1DNFKULYJHGEPBGN&v=20180604&ll=43.7532586,-79.3296565&radius=500&limit=100'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the top 100 venues within a radius of 500 meters\n",
    "LIMIT = 100 # limit of number of venues returned by Foursquare API\n",
    "radius = 500 # define radius\n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "    CLIENT_ID, \n",
    "    CLIENT_SECRET, \n",
    "    VERSION, \n",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)\n",
    "url # display URL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5e4c8910dd0f85002947312c'},\n",
       " 'response': {'warning': {'text': \"There aren't a lot of results near you. Try something more general, reset your filters, or expand the search area.\"},\n",
       "  'headerLocation': 'Parkwoods - Donalda',\n",
       "  'headerFullLocation': 'Parkwoods - Donalda, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 3,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.757758604500005,\n",
       "    'lng': -79.32343823984928},\n",
       "   'sw': {'lat': 43.7487585955, 'lng': -79.33587476015072}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4e8d9dcdd5fbbbb6b3003c7b',\n",
       "       'name': 'Brookbanks Park',\n",
       "       'location': {'address': 'Toronto',\n",
       "        'lat': 43.751976046055574,\n",
       "        'lng': -79.33214044722958,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.751976046055574,\n",
       "          'lng': -79.33214044722958}],\n",
       "        'distance': 245,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Toronto', 'Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d163941735',\n",
       "         'name': 'Park',\n",
       "         'pluralName': 'Parks',\n",
       "         'shortName': 'Park',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/parks_outdoors/park_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4e8d9dcdd5fbbbb6b3003c7b-0'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4cb11e2075ebb60cd1c4caad',\n",
       "       'name': 'Variety Store',\n",
       "       'location': {'address': '29 Valley Woods Road',\n",
       "        'lat': 43.75197441585782,\n",
       "        'lng': -79.33311418516017,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.75197441585782,\n",
       "          'lng': -79.33311418516017}],\n",
       "        'distance': 312,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['29 Valley Woods Road', 'Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1f9941735',\n",
       "         'name': 'Food & Drink Shop',\n",
       "         'pluralName': 'Food & Drink Shops',\n",
       "         'shortName': 'Food & Drink',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/foodanddrink_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4cb11e2075ebb60cd1c4caad-1'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '53622a89498ed84d6853265e',\n",
       "       'name': 'TTC stop - 44 Valley Woods',\n",
       "       'location': {'address': '44 Valley Woods Rd',\n",
       "        'lat': 43.75540238129278,\n",
       "        'lng': -79.33374133300899,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.75540238129278,\n",
       "          'lng': -79.33374133300899}],\n",
       "        'distance': 405,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['44 Valley Woods Rd', 'Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '52f2ab2ebcbc57f1066b8b4f',\n",
       "         'name': 'Bus Stop',\n",
       "         'pluralName': 'Bus Stops',\n",
       "         'shortName': 'Bus Stop',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/busstation_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-53622a89498ed84d6853265e-2'}]}]}}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Send GET request and examine results\n",
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "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>referralId</th>\n",
       "      <th>reasons.count</th>\n",
       "      <th>reasons.items</th>\n",
       "      <th>venue.id</th>\n",
       "      <th>venue.name</th>\n",
       "      <th>venue.location.address</th>\n",
       "      <th>venue.location.lat</th>\n",
       "      <th>venue.location.lng</th>\n",
       "      <th>venue.location.labeledLatLngs</th>\n",
       "      <th>venue.location.distance</th>\n",
       "      <th>venue.location.cc</th>\n",
       "      <th>venue.location.city</th>\n",
       "      <th>venue.location.state</th>\n",
       "      <th>venue.location.country</th>\n",
       "      <th>venue.location.formattedAddress</th>\n",
       "      <th>venue.categories</th>\n",
       "      <th>venue.photos.count</th>\n",
       "      <th>venue.photos.groups</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>e-0-4e8d9dcdd5fbbbb6b3003c7b-0</td>\n",
       "      <td>0</td>\n",
       "      <td>[{'summary': 'This spot is popular', 'type': '...</td>\n",
       "      <td>4e8d9dcdd5fbbbb6b3003c7b</td>\n",
       "      <td>Brookbanks Park</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>43.751976</td>\n",
       "      <td>-79.332140</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.75197604605557...</td>\n",
       "      <td>245</td>\n",
       "      <td>CA</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>ON</td>\n",
       "      <td>Canada</td>\n",
       "      <td>[Toronto, Toronto ON, Canada]</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d163941735', 'name': 'P...</td>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>e-0-4cb11e2075ebb60cd1c4caad-1</td>\n",
       "      <td>0</td>\n",
       "      <td>[{'summary': 'This spot is popular', 'type': '...</td>\n",
       "      <td>4cb11e2075ebb60cd1c4caad</td>\n",
       "      <td>Variety Store</td>\n",
       "      <td>29 Valley Woods Road</td>\n",
       "      <td>43.751974</td>\n",
       "      <td>-79.333114</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.75197441585782...</td>\n",
       "      <td>312</td>\n",
       "      <td>CA</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>ON</td>\n",
       "      <td>Canada</td>\n",
       "      <td>[29 Valley Woods Road, Toronto ON, Canada]</td>\n",
       "      <td>[{'id': '4bf58dd8d48988d1f9941735', 'name': 'F...</td>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>e-0-53622a89498ed84d6853265e-2</td>\n",
       "      <td>0</td>\n",
       "      <td>[{'summary': 'This spot is popular', 'type': '...</td>\n",
       "      <td>53622a89498ed84d6853265e</td>\n",
       "      <td>TTC stop - 44 Valley Woods</td>\n",
       "      <td>44 Valley Woods Rd</td>\n",
       "      <td>43.755402</td>\n",
       "      <td>-79.333741</td>\n",
       "      <td>[{'label': 'display', 'lat': 43.75540238129278...</td>\n",
       "      <td>405</td>\n",
       "      <td>CA</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>ON</td>\n",
       "      <td>Canada</td>\n",
       "      <td>[44 Valley Woods Rd, Toronto ON, Canada]</td>\n",
       "      <td>[{'id': '52f2ab2ebcbc57f1066b8b4f', 'name': 'B...</td>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       referralId  reasons.count  \\\n",
       "0  e-0-4e8d9dcdd5fbbbb6b3003c7b-0              0   \n",
       "1  e-0-4cb11e2075ebb60cd1c4caad-1              0   \n",
       "2  e-0-53622a89498ed84d6853265e-2              0   \n",
       "\n",
       "                                       reasons.items  \\\n",
       "0  [{'summary': 'This spot is popular', 'type': '...   \n",
       "1  [{'summary': 'This spot is popular', 'type': '...   \n",
       "2  [{'summary': 'This spot is popular', 'type': '...   \n",
       "\n",
       "                   venue.id                  venue.name  \\\n",
       "0  4e8d9dcdd5fbbbb6b3003c7b             Brookbanks Park   \n",
       "1  4cb11e2075ebb60cd1c4caad               Variety Store   \n",
       "2  53622a89498ed84d6853265e  TTC stop - 44 Valley Woods   \n",
       "\n",
       "  venue.location.address  venue.location.lat  venue.location.lng  \\\n",
       "0                Toronto           43.751976          -79.332140   \n",
       "1   29 Valley Woods Road           43.751974          -79.333114   \n",
       "2     44 Valley Woods Rd           43.755402          -79.333741   \n",
       "\n",
       "                       venue.location.labeledLatLngs  venue.location.distance  \\\n",
       "0  [{'label': 'display', 'lat': 43.75197604605557...                      245   \n",
       "1  [{'label': 'display', 'lat': 43.75197441585782...                      312   \n",
       "2  [{'label': 'display', 'lat': 43.75540238129278...                      405   \n",
       "\n",
       "  venue.location.cc venue.location.city venue.location.state  \\\n",
       "0                CA             Toronto                   ON   \n",
       "1                CA             Toronto                   ON   \n",
       "2                CA             Toronto                   ON   \n",
       "\n",
       "  venue.location.country             venue.location.formattedAddress  \\\n",
       "0                 Canada               [Toronto, Toronto ON, Canada]   \n",
       "1                 Canada  [29 Valley Woods Road, Toronto ON, Canada]   \n",
       "2                 Canada    [44 Valley Woods Rd, Toronto ON, Canada]   \n",
       "\n",
       "                                    venue.categories  venue.photos.count  \\\n",
       "0  [{'id': '4bf58dd8d48988d163941735', 'name': 'P...                   0   \n",
       "1  [{'id': '4bf58dd8d48988d1f9941735', 'name': 'F...                   0   \n",
       "2  [{'id': '52f2ab2ebcbc57f1066b8b4f', 'name': 'B...                   0   \n",
       "\n",
       "  venue.photos.groups  \n",
       "0                  []  \n",
       "1                  []  \n",
       "2                  []  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# assign relevant part of JSON to venues\n",
    "venues = results['response']['groups'][0]['items']\n",
    "\n",
    "# tranform venues into a dataframe\n",
    "df_venues = json_normalize(venues)\n",
    "df_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Brookbanks Park</td>\n",
       "      <td>Park</td>\n",
       "      <td>43.751976</td>\n",
       "      <td>-79.332140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Variety Store</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>43.751974</td>\n",
       "      <td>-79.333114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>TTC stop - 44 Valley Woods</td>\n",
       "      <td>Bus Stop</td>\n",
       "      <td>43.755402</td>\n",
       "      <td>-79.333741</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         name         categories        lat        lng\n",
       "0             Brookbanks Park               Park  43.751976 -79.332140\n",
       "1               Variety Store  Food & Drink Shop  43.751974 -79.333114\n",
       "2  TTC stop - 44 Valley Woods           Bus Stop  43.755402 -79.333741"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# keep only columns that include venue name, and anything that is associated with location\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "df_venues_filtered = df_venues.loc[:, filtered_columns]\n",
    "\n",
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']\n",
    "\n",
    "# filter the category for each row\n",
    "df_venues_filtered['venue.categories'] = df_venues_filtered.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean column names by keeping only last term\n",
    "df_venues_filtered.columns = [column.split('.')[-1] for column in df_venues_filtered.columns]\n",
    "\n",
    "df_venues_filtered"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Do the above for other neighborhoods as well"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a function to repeat the above for other venues, ie to get nearby venues within 500 meters like above\n",
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', 'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Harbourfront\n",
      "Queen's Park\n",
      "Ryerson, Garden District\n",
      "St. James Town\n",
      "The Beaches\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Christie\n",
      "Adelaide, King, Richmond\n",
      "Dovercourt Village, Dufferin\n",
      "Harbourfront East, Toronto Islands, Union Station\n",
      "Little Portugal, Trinity\n",
      "The Danforth West, Riverdale\n",
      "Design Exchange, Toronto Dominion Centre\n",
      "Brockton, Exhibition Place, Parkdale Village\n",
      "The Beaches West, India Bazaar\n",
      "Commerce Court, Victoria Hotel\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Roselawn\n",
      "Davisville North\n",
      "Forest Hill North, Forest Hill West\n",
      "High Park, The Junction South\n",
      "North Toronto West\n",
      "The Annex, North Midtown, Yorkville\n",
      "Parkdale, Roncesvalles\n",
      "Davisville\n",
      "Harbord, University of Toronto\n",
      "Runnymede, Swansea\n",
      "Moore Park, Summerhill East\n",
      "Chinatown, Grange Park, Kensington Market\n",
      "Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West\n",
      "CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara\n",
      "Rosedale\n",
      "Stn A PO Boxes 25 The Esplanade\n",
      "Cabbagetown, St. James Town\n",
      "First Canadian Place, Underground city\n",
      "Church and Wellesley\n",
      "Business Reply Mail Processing Centre 969 Eastern\n"
     ]
    }
   ],
   "source": [
    "# get venue data for Toronto neighbourhood\n",
    "toronto_venues_df = getNearbyVenues(names=toronto_df['Neighbourhood'],\n",
    "                                   latitudes=toronto_df['Latitude'],\n",
    "                                   longitudes=toronto_df['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1691, 7)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues_df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Roselle Desserts</td>\n",
       "      <td>43.653447</td>\n",
       "      <td>-79.362017</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Tandem Coffee</td>\n",
       "      <td>43.653559</td>\n",
       "      <td>-79.361809</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Cooper Koo Family YMCA</td>\n",
       "      <td>43.653191</td>\n",
       "      <td>-79.357947</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Body Blitz Spa East</td>\n",
       "      <td>43.654735</td>\n",
       "      <td>-79.359874</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Morning Glory Cafe</td>\n",
       "      <td>43.653947</td>\n",
       "      <td>-79.361149</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0  Harbourfront               43.65426              -79.360636   \n",
       "1  Harbourfront               43.65426              -79.360636   \n",
       "2  Harbourfront               43.65426              -79.360636   \n",
       "3  Harbourfront               43.65426              -79.360636   \n",
       "4  Harbourfront               43.65426              -79.360636   \n",
       "\n",
       "                    Venue  Venue Latitude  Venue Longitude  \\\n",
       "0        Roselle Desserts       43.653447       -79.362017   \n",
       "1           Tandem Coffee       43.653559       -79.361809   \n",
       "2  Cooper Koo Family YMCA       43.653191       -79.357947   \n",
       "3     Body Blitz Spa East       43.654735       -79.359874   \n",
       "4      Morning Glory Cafe       43.653947       -79.361149   \n",
       "\n",
       "         Venue Category  \n",
       "0                Bakery  \n",
       "1           Coffee Shop  \n",
       "2  Gym / Fitness Center  \n",
       "3                   Spa  \n",
       "4        Breakfast Spot  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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",
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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>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>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>Berczy Park</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</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>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</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>Cabbagetown, St. James Town</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</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>Chinatown, Grange Park, Kensington Market</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>Christie</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <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>Davisville</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>Davisville North</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>Deer Park, Forest Hill SE, Rathnelly, South Hill, Summerhill West</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>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>Dovercourt Village, Dufferin</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>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>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>Harbord, University of Toronto</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>Harbourfront</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "      <td>46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <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>High Park, The Junction South</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Moore Park, Summerhill East</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>North Toronto West</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Parkdale, Roncesvalles</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>Queen's Park</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Rosedale</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>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>Runnymede, Swansea</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</td>\n",
       "      <td>37</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>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>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Studio District</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>The Annex, North Midtown, Yorkville</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>The Beaches</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>The 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>The Danforth West, Riverdale</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhood Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide, King, Richmond                                              100   \n",
       "Berczy Park                                                            56   \n",
       "Brockton, Exhibition Place, Parkdale Village                           22   \n",
       "Business Reply Mail Processing Centre 969 Eastern                      18   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...                     17   \n",
       "Cabbagetown, St. James Town                                            41   \n",
       "Central Bay Street                                                     85   \n",
       "Chinatown, Grange Park, Kensington Market                              85   \n",
       "Christie                                                               18   \n",
       "Church and Wellesley                                                   80   \n",
       "Commerce Court, Victoria Hotel                                        100   \n",
       "Davisville                                                             33   \n",
       "Davisville North                                                        7   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...                     14   \n",
       "Design Exchange, Toronto Dominion Centre                              100   \n",
       "Dovercourt Village, Dufferin                                           15   \n",
       "First Canadian Place, Underground city                                100   \n",
       "Forest Hill North, Forest Hill West                                     4   \n",
       "Harbord, University of Toronto                                         34   \n",
       "Harbourfront                                                           46   \n",
       "Harbourfront East, Toronto Islands, Union Station                     100   \n",
       "High Park, The Junction South                                          23   \n",
       "Lawrence Park                                                           3   \n",
       "Little Portugal, Trinity                                               53   \n",
       "Moore Park, Summerhill East                                             2   \n",
       "North Toronto West                                                     20   \n",
       "Parkdale, Roncesvalles                                                 14   \n",
       "Queen's Park                                                           38   \n",
       "Rosedale                                                                4   \n",
       "Roselawn                                                                1   \n",
       "Runnymede, Swansea                                                     37   \n",
       "Ryerson, Garden District                                              100   \n",
       "St. James Town                                                        100   \n",
       "Stn A PO Boxes 25 The Esplanade                                        95   \n",
       "Studio District                                                        41   \n",
       "The Annex, North Midtown, Yorkville                                    21   \n",
       "The Beaches                                                             5   \n",
       "The Beaches West, India Bazaar                                         19   \n",
       "The Danforth West, Riverdale                                           40   \n",
       "\n",
       "                                                    Neighborhood Longitude  \\\n",
       "Neighborhood                                                                 \n",
       "Adelaide, King, Richmond                                               100   \n",
       "Berczy Park                                                             56   \n",
       "Brockton, Exhibition Place, Parkdale Village                            22   \n",
       "Business Reply Mail Processing Centre 969 Eastern                       18   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...                      17   \n",
       "Cabbagetown, St. James Town                                             41   \n",
       "Central Bay Street                                                      85   \n",
       "Chinatown, Grange Park, Kensington Market                               85   \n",
       "Christie                                                                18   \n",
       "Church and Wellesley                                                    80   \n",
       "Commerce Court, Victoria Hotel                                         100   \n",
       "Davisville                                                              33   \n",
       "Davisville North                                                         7   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...                      14   \n",
       "Design Exchange, Toronto Dominion Centre                               100   \n",
       "Dovercourt Village, Dufferin                                            15   \n",
       "First Canadian Place, Underground city                                 100   \n",
       "Forest Hill North, Forest Hill West                                      4   \n",
       "Harbord, University of Toronto                                          34   \n",
       "Harbourfront                                                            46   \n",
       "Harbourfront East, Toronto Islands, Union Station                      100   \n",
       "High Park, The Junction South                                           23   \n",
       "Lawrence Park                                                            3   \n",
       "Little Portugal, Trinity                                                53   \n",
       "Moore Park, Summerhill East                                              2   \n",
       "North Toronto West                                                      20   \n",
       "Parkdale, Roncesvalles                                                  14   \n",
       "Queen's Park                                                            38   \n",
       "Rosedale                                                                 4   \n",
       "Roselawn                                                                 1   \n",
       "Runnymede, Swansea                                                      37   \n",
       "Ryerson, Garden District                                               100   \n",
       "St. James Town                                                         100   \n",
       "Stn A PO Boxes 25 The Esplanade                                         95   \n",
       "Studio District                                                         41   \n",
       "The Annex, North Midtown, Yorkville                                     21   \n",
       "The Beaches                                                              5   \n",
       "The Beaches West, India Bazaar                                          19   \n",
       "The Danforth West, Riverdale                                            40   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhood                                                                \n",
       "Adelaide, King, Richmond                              100             100   \n",
       "Berczy Park                                            56              56   \n",
       "Brockton, Exhibition Place, Parkdale Village           22              22   \n",
       "Business Reply Mail Processing Centre 969 Eastern      18              18   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...     17              17   \n",
       "Cabbagetown, St. James Town                            41              41   \n",
       "Central Bay Street                                     85              85   \n",
       "Chinatown, Grange Park, Kensington Market              85              85   \n",
       "Christie                                               18              18   \n",
       "Church and Wellesley                                   80              80   \n",
       "Commerce Court, Victoria Hotel                        100             100   \n",
       "Davisville                                             33              33   \n",
       "Davisville North                                        7               7   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...     14              14   \n",
       "Design Exchange, Toronto Dominion Centre              100             100   \n",
       "Dovercourt Village, Dufferin                           15              15   \n",
       "First Canadian Place, Underground city                100             100   \n",
       "Forest Hill North, Forest Hill West                     4               4   \n",
       "Harbord, University of Toronto                         34              34   \n",
       "Harbourfront                                           46              46   \n",
       "Harbourfront East, Toronto Islands, Union Station     100             100   \n",
       "High Park, The Junction South                          23              23   \n",
       "Lawrence Park                                           3               3   \n",
       "Little Portugal, Trinity                               53              53   \n",
       "Moore Park, Summerhill East                             2               2   \n",
       "North Toronto West                                     20              20   \n",
       "Parkdale, Roncesvalles                                 14              14   \n",
       "Queen's Park                                           38              38   \n",
       "Rosedale                                                4               4   \n",
       "Roselawn                                                1               1   \n",
       "Runnymede, Swansea                                     37              37   \n",
       "Ryerson, Garden District                              100             100   \n",
       "St. James Town                                        100             100   \n",
       "Stn A PO Boxes 25 The Esplanade                        95              95   \n",
       "Studio District                                        41              41   \n",
       "The Annex, North Midtown, Yorkville                    21              21   \n",
       "The Beaches                                             5               5   \n",
       "The Beaches West, India Bazaar                         19              19   \n",
       "The Danforth West, Riverdale                           40              40   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhood                                                          \n",
       "Adelaide, King, Richmond                                        100   \n",
       "Berczy Park                                                      56   \n",
       "Brockton, Exhibition Place, Parkdale Village                     22   \n",
       "Business Reply Mail Processing Centre 969 Eastern                18   \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...               17   \n",
       "Cabbagetown, St. James Town                                      41   \n",
       "Central Bay Street                                               85   \n",
       "Chinatown, Grange Park, Kensington Market                        85   \n",
       "Christie                                                         18   \n",
       "Church and Wellesley                                             80   \n",
       "Commerce Court, Victoria Hotel                                  100   \n",
       "Davisville                                                       33   \n",
       "Davisville North                                                  7   \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...               14   \n",
       "Design Exchange, Toronto Dominion Centre                        100   \n",
       "Dovercourt Village, Dufferin                                     15   \n",
       "First Canadian Place, Underground city                          100   \n",
       "Forest Hill North, Forest Hill West                               4   \n",
       "Harbord, University of Toronto                                   34   \n",
       "Harbourfront                                                     46   \n",
       "Harbourfront East, Toronto Islands, Union Station               100   \n",
       "High Park, The Junction South                                    23   \n",
       "Lawrence Park                                                     3   \n",
       "Little Portugal, Trinity                                         53   \n",
       "Moore Park, Summerhill East                                       2   \n",
       "North Toronto West                                               20   \n",
       "Parkdale, Roncesvalles                                           14   \n",
       "Queen's Park                                                     38   \n",
       "Rosedale                                                          4   \n",
       "Roselawn                                                          1   \n",
       "Runnymede, Swansea                                               37   \n",
       "Ryerson, Garden District                                        100   \n",
       "St. James Town                                                  100   \n",
       "Stn A PO Boxes 25 The Esplanade                                  95   \n",
       "Studio District                                                  41   \n",
       "The Annex, North Midtown, Yorkville                              21   \n",
       "The Beaches                                                       5   \n",
       "The Beaches West, India Bazaar                                   19   \n",
       "The Danforth West, Riverdale                                     40   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhood                                                        \n",
       "Adelaide, King, Richmond                                       100  \n",
       "Berczy Park                                                     56  \n",
       "Brockton, Exhibition Place, Parkdale Village                    22  \n",
       "Business Reply Mail Processing Centre 969 Eastern               18  \n",
       "CN Tower, Bathurst Quay, Island airport, Harbou...              17  \n",
       "Cabbagetown, St. James Town                                     41  \n",
       "Central Bay Street                                              85  \n",
       "Chinatown, Grange Park, Kensington Market                       85  \n",
       "Christie                                                        18  \n",
       "Church and Wellesley                                            80  \n",
       "Commerce Court, Victoria Hotel                                 100  \n",
       "Davisville                                                      33  \n",
       "Davisville North                                                 7  \n",
       "Deer Park, Forest Hill SE, Rathnelly, South Hil...              14  \n",
       "Design Exchange, Toronto Dominion Centre                       100  \n",
       "Dovercourt Village, Dufferin                                    15  \n",
       "First Canadian Place, Underground city                         100  \n",
       "Forest Hill North, Forest Hill West                              4  \n",
       "Harbord, University of Toronto                                  34  \n",
       "Harbourfront                                                    46  \n",
       "Harbourfront East, Toronto Islands, Union Station              100  \n",
       "High Park, The Junction South                                   23  \n",
       "Lawrence Park                                                    3  \n",
       "Little Portugal, Trinity                                        53  \n",
       "Moore Park, Summerhill East                                      2  \n",
       "North Toronto West                                              20  \n",
       "Parkdale, Roncesvalles                                          14  \n",
       "Queen's Park                                                    38  \n",
       "Rosedale                                                         4  \n",
       "Roselawn                                                         1  \n",
       "Runnymede, Swansea                                              37  \n",
       "Ryerson, Garden District                                       100  \n",
       "St. James Town                                                 100  \n",
       "Stn A PO Boxes 25 The Esplanade                                 95  \n",
       "Studio District                                                 41  \n",
       "The Annex, North Midtown, Yorkville                             21  \n",
       "The Beaches                                                      5  \n",
       "The Beaches West, India Bazaar                                  19  \n",
       "The Danforth West, Riverdale                                    40  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check how many venues returned for each neighborhood\n",
    "toronto_venues_df.groupby('Neighborhood').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Yoga Studio</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
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       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
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       "      <th>Theme Restaurant</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
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       "  </thead>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <td>2</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",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>4</td>\n",
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       "<p>5 rows × 228 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Yoga Studio  Afghan Restaurant  Airport  Airport Food Court  Airport Gate  \\\n",
       "0            0                  0        0                   0             0   \n",
       "1            0                  0        0                   0             0   \n",
       "2            0                  0        0                   0             0   \n",
       "3            0                  0        0                   0             0   \n",
       "4            0                  0        0                   0             0   \n",
       "\n",
       "   Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0               0                0                 0                    0   \n",
       "1               0                0                 0                    0   \n",
       "2               0                0                 0                    0   \n",
       "3               0                0                 0                    0   \n",
       "4               0                0                 0                    0   \n",
       "\n",
       "   Antique Shop  ...  Theme Restaurant  Toy / Game Store  Trail  \\\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",
       "   Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0              0                              0                 0   \n",
       "1              0                              0                 0   \n",
       "2              0                              0                 0   \n",
       "3              0                              0                 0   \n",
       "4              0                              0                 0   \n",
       "\n",
       "   Vietnamese Restaurant  Wine Bar  Wings Joint  Women's Store  \n",
       "0                      0         0            0              0  \n",
       "1                      0         0            0              0  \n",
       "2                      0         0            0              0  \n",
       "3                      0         0            0              0  \n",
       "4                      0         0            0              0  \n",
       "\n",
       "[5 rows x 228 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# analyse each neighborhood\n",
    "# use one hot encoding for each venue category\n",
    "toronto_onehot = pd.get_dummies(toronto_venues_df[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add the neighborhood column back into the dataframe\n",
    "toronto_onehot['Neighborhood'] = toronto_venues_df['Neighborhood']\n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [toronto_onehot.columns[-1]] + list(toronto_onehot.columns[:-1])\n",
    "toronto_onehot = toronto_onehot[fixed_columns]\n",
    "\n",
    "toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1691, 228)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr>\n",
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       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.058824</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.176471</td>\n",
       "      <td>0.117647</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.035294</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.047059</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Christie</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>0.0125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012500</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</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>0.012500</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Davisville North</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Dovercourt Village, Dufferin</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Forest Hill North, Forest Hill West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Harbord, University of Toronto</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>0.021739</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>0.018868</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.018868</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.037736</td>\n",
       "      <td>0.018868</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>0.026316</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</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>0.026316</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010526</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010526</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.048780</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.024390</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.047619</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.025</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>39 rows × 228 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Yoga Studio  \\\n",
       "0                            Adelaide, King, Richmond     0.000000   \n",
       "1                                         Berczy Park     0.000000   \n",
       "2        Brockton, Exhibition Place, Parkdale Village     0.000000   \n",
       "3   Business Reply Mail Processing Centre 969 Eastern     0.055556   \n",
       "4   CN Tower, Bathurst Quay, Island airport, Harbo...     0.000000   \n",
       "5                         Cabbagetown, St. James Town     0.000000   \n",
       "6                                  Central Bay Street     0.011765   \n",
       "7           Chinatown, Grange Park, Kensington Market     0.000000   \n",
       "8                                            Christie     0.000000   \n",
       "9                                Church and Wellesley     0.012500   \n",
       "10                     Commerce Court, Victoria Hotel     0.000000   \n",
       "11                                         Davisville     0.000000   \n",
       "12                                   Davisville North     0.000000   \n",
       "13  Deer Park, Forest Hill SE, Rathnelly, South Hi...     0.000000   \n",
       "14           Design Exchange, Toronto Dominion Centre     0.000000   \n",
       "15                       Dovercourt Village, Dufferin     0.000000   \n",
       "16             First Canadian Place, Underground city     0.000000   \n",
       "17                Forest Hill North, Forest Hill West     0.000000   \n",
       "18                     Harbord, University of Toronto     0.000000   \n",
       "19                                       Harbourfront     0.021739   \n",
       "20  Harbourfront East, Toronto Islands, Union Station     0.000000   \n",
       "21                      High Park, The Junction South     0.000000   \n",
       "22                                      Lawrence Park     0.000000   \n",
       "23                           Little Portugal, Trinity     0.018868   \n",
       "24                        Moore Park, Summerhill East     0.000000   \n",
       "25                                 North Toronto West     0.050000   \n",
       "26                             Parkdale, Roncesvalles     0.000000   \n",
       "27                                       Queen's Park     0.026316   \n",
       "28                                           Rosedale     0.000000   \n",
       "29                                           Roselawn     0.000000   \n",
       "30                                 Runnymede, Swansea     0.027027   \n",
       "31                           Ryerson, Garden District     0.000000   \n",
       "32                                     St. James Town     0.000000   \n",
       "33                    Stn A PO Boxes 25 The Esplanade     0.000000   \n",
       "34                                    Studio District     0.024390   \n",
       "35                The Annex, North Midtown, Yorkville     0.000000   \n",
       "36                                        The Beaches     0.000000   \n",
       "37                     The Beaches West, India Bazaar     0.000000   \n",
       "38                       The Danforth West, Riverdale     0.025000   \n",
       "\n",
       "    Afghan Restaurant   Airport  Airport Food Court  Airport Gate  \\\n",
       "0              0.0000  0.000000            0.000000      0.000000   \n",
       "1              0.0000  0.000000            0.000000      0.000000   \n",
       "2              0.0000  0.000000            0.000000      0.000000   \n",
       "3              0.0000  0.000000            0.000000      0.000000   \n",
       "4              0.0000  0.058824            0.058824      0.058824   \n",
       "5              0.0000  0.000000            0.000000      0.000000   \n",
       "6              0.0000  0.000000            0.000000      0.000000   \n",
       "7              0.0000  0.000000            0.000000      0.000000   \n",
       "8              0.0000  0.000000            0.000000      0.000000   \n",
       "9              0.0125  0.000000            0.000000      0.000000   \n",
       "10             0.0000  0.000000            0.000000      0.000000   \n",
       "11             0.0000  0.000000            0.000000      0.000000   \n",
       "12             0.0000  0.000000            0.000000      0.000000   \n",
       "13             0.0000  0.000000            0.000000      0.000000   \n",
       "14             0.0000  0.000000            0.000000      0.000000   \n",
       "15             0.0000  0.000000            0.000000      0.000000   \n",
       "16             0.0000  0.000000            0.000000      0.000000   \n",
       "17             0.0000  0.000000            0.000000      0.000000   \n",
       "18             0.0000  0.000000            0.000000      0.000000   \n",
       "19             0.0000  0.000000            0.000000      0.000000   \n",
       "20             0.0000  0.000000            0.000000      0.000000   \n",
       "21             0.0000  0.000000            0.000000      0.000000   \n",
       "22             0.0000  0.000000            0.000000      0.000000   \n",
       "23             0.0000  0.000000            0.000000      0.000000   \n",
       "24             0.0000  0.000000            0.000000      0.000000   \n",
       "25             0.0000  0.000000            0.000000      0.000000   \n",
       "26             0.0000  0.000000            0.000000      0.000000   \n",
       "27             0.0000  0.000000            0.000000      0.000000   \n",
       "28             0.0000  0.000000            0.000000      0.000000   \n",
       "29             0.0000  0.000000            0.000000      0.000000   \n",
       "30             0.0000  0.000000            0.000000      0.000000   \n",
       "31             0.0000  0.000000            0.000000      0.000000   \n",
       "32             0.0000  0.000000            0.000000      0.000000   \n",
       "33             0.0000  0.000000            0.000000      0.000000   \n",
       "34             0.0000  0.000000            0.000000      0.000000   \n",
       "35             0.0000  0.000000            0.000000      0.000000   \n",
       "36             0.0000  0.000000            0.000000      0.000000   \n",
       "37             0.0000  0.000000            0.000000      0.000000   \n",
       "38             0.0000  0.000000            0.000000      0.000000   \n",
       "\n",
       "    Airport Lounge  Airport Service  Airport Terminal  American Restaurant  \\\n",
       "0         0.000000         0.000000          0.000000             0.020000   \n",
       "1         0.000000         0.000000          0.000000             0.000000   \n",
       "2         0.000000         0.000000          0.000000             0.000000   \n",
       "3         0.000000         0.000000          0.000000             0.000000   \n",
       "4         0.117647         0.176471          0.117647             0.000000   \n",
       "5         0.000000         0.000000          0.000000             0.000000   \n",
       "6         0.000000         0.000000          0.000000             0.011765   \n",
       "7         0.000000         0.000000          0.000000             0.000000   \n",
       "8         0.000000         0.000000          0.000000             0.000000   \n",
       "9         0.000000         0.000000          0.000000             0.012500   \n",
       "10        0.000000         0.000000          0.000000             0.030000   \n",
       "11        0.000000         0.000000          0.000000             0.000000   \n",
       "12        0.000000         0.000000          0.000000             0.000000   \n",
       "13        0.000000         0.000000          0.000000             0.071429   \n",
       "14        0.000000         0.000000          0.000000             0.030000   \n",
       "15        0.000000         0.000000          0.000000             0.000000   \n",
       "16        0.000000         0.000000          0.000000             0.030000   \n",
       "17        0.000000         0.000000          0.000000             0.000000   \n",
       "18        0.000000         0.000000          0.000000             0.000000   \n",
       "19        0.000000         0.000000          0.000000             0.000000   \n",
       "20        0.000000         0.000000          0.000000             0.000000   \n",
       "21        0.000000         0.000000          0.000000             0.000000   \n",
       "22        0.000000         0.000000          0.000000             0.000000   \n",
       "23        0.000000         0.000000          0.000000             0.000000   \n",
       "24        0.000000         0.000000          0.000000             0.000000   \n",
       "25        0.000000         0.000000          0.000000             0.000000   \n",
       "26        0.000000         0.000000          0.000000             0.000000   \n",
       "27        0.000000         0.000000          0.000000             0.000000   \n",
       "28        0.000000         0.000000          0.000000             0.000000   \n",
       "29        0.000000         0.000000          0.000000             0.000000   \n",
       "30        0.000000         0.000000          0.000000             0.000000   \n",
       "31        0.000000         0.000000          0.000000             0.010000   \n",
       "32        0.000000         0.000000          0.000000             0.030000   \n",
       "33        0.000000         0.000000          0.000000             0.010526   \n",
       "34        0.000000         0.000000          0.000000             0.048780   \n",
       "35        0.000000         0.000000          0.000000             0.047619   \n",
       "36        0.000000         0.000000          0.000000             0.000000   \n",
       "37        0.000000         0.000000          0.000000             0.000000   \n",
       "38        0.000000         0.000000          0.000000             0.025000   \n",
       "\n",
       "    ...  Theme Restaurant  Toy / Game Store  Trail  Train Station  \\\n",
       "0   ...            0.0000          0.000000  0.000           0.00   \n",
       "1   ...            0.0000          0.000000  0.000           0.00   \n",
       "2   ...            0.0000          0.000000  0.000           0.00   \n",
       "3   ...            0.0000          0.000000  0.000           0.00   \n",
       "4   ...            0.0000          0.000000  0.000           0.00   \n",
       "5   ...            0.0000          0.000000  0.000           0.00   \n",
       "6   ...            0.0000          0.000000  0.000           0.00   \n",
       "7   ...            0.0000          0.000000  0.000           0.00   \n",
       "8   ...            0.0000          0.000000  0.000           0.00   \n",
       "9   ...            0.0125          0.000000  0.000           0.00   \n",
       "10  ...            0.0000          0.000000  0.000           0.00   \n",
       "11  ...            0.0000          0.030303  0.000           0.00   \n",
       "12  ...            0.0000          0.000000  0.000           0.00   \n",
       "13  ...            0.0000          0.000000  0.000           0.00   \n",
       "14  ...            0.0000          0.000000  0.000           0.01   \n",
       "15  ...            0.0000          0.000000  0.000           0.00   \n",
       "16  ...            0.0000          0.000000  0.000           0.01   \n",
       "17  ...            0.0000          0.000000  0.250           0.00   \n",
       "18  ...            0.0000          0.000000  0.000           0.00   \n",
       "19  ...            0.0000          0.000000  0.000           0.00   \n",
       "20  ...            0.0000          0.000000  0.000           0.01   \n",
       "21  ...            0.0000          0.000000  0.000           0.00   \n",
       "22  ...            0.0000          0.000000  0.000           0.00   \n",
       "23  ...            0.0000          0.000000  0.000           0.00   \n",
       "24  ...            0.0000          0.000000  0.000           0.00   \n",
       "25  ...            0.0000          0.000000  0.000           0.00   \n",
       "26  ...            0.0000          0.000000  0.000           0.00   \n",
       "27  ...            0.0000          0.000000  0.000           0.00   \n",
       "28  ...            0.0000          0.000000  0.250           0.00   \n",
       "29  ...            0.0000          0.000000  0.000           0.00   \n",
       "30  ...            0.0000          0.000000  0.000           0.00   \n",
       "31  ...            0.0000          0.010000  0.000           0.00   \n",
       "32  ...            0.0000          0.000000  0.000           0.00   \n",
       "33  ...            0.0000          0.000000  0.000           0.00   \n",
       "34  ...            0.0000          0.000000  0.000           0.00   \n",
       "35  ...            0.0000          0.000000  0.000           0.00   \n",
       "36  ...            0.0000          0.000000  0.200           0.00   \n",
       "37  ...            0.0000          0.000000  0.000           0.00   \n",
       "38  ...            0.0000          0.000000  0.025           0.00   \n",
       "\n",
       "    Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n",
       "0                        0.020000          0.000000               0.000000   \n",
       "1                        0.017857          0.000000               0.000000   \n",
       "2                        0.000000          0.000000               0.000000   \n",
       "3                        0.000000          0.000000               0.000000   \n",
       "4                        0.000000          0.000000               0.000000   \n",
       "5                        0.000000          0.000000               0.000000   \n",
       "6                        0.011765          0.000000               0.000000   \n",
       "7                        0.035294          0.000000               0.047059   \n",
       "8                        0.000000          0.000000               0.000000   \n",
       "9                        0.000000          0.000000               0.000000   \n",
       "10                       0.020000          0.000000               0.000000   \n",
       "11                       0.000000          0.000000               0.000000   \n",
       "12                       0.000000          0.000000               0.000000   \n",
       "13                       0.000000          0.000000               0.071429   \n",
       "14                       0.010000          0.000000               0.000000   \n",
       "15                       0.000000          0.000000               0.000000   \n",
       "16                       0.010000          0.000000               0.000000   \n",
       "17                       0.000000          0.000000               0.000000   \n",
       "18                       0.000000          0.029412               0.000000   \n",
       "19                       0.000000          0.000000               0.000000   \n",
       "20                       0.010000          0.000000               0.000000   \n",
       "21                       0.000000          0.000000               0.000000   \n",
       "22                       0.000000          0.000000               0.000000   \n",
       "23                       0.018868          0.000000               0.037736   \n",
       "24                       0.000000          0.000000               0.000000   \n",
       "25                       0.000000          0.000000               0.000000   \n",
       "26                       0.000000          0.000000               0.000000   \n",
       "27                       0.000000          0.000000               0.000000   \n",
       "28                       0.000000          0.000000               0.000000   \n",
       "29                       0.000000          0.000000               0.000000   \n",
       "30                       0.027027          0.000000               0.000000   \n",
       "31                       0.000000          0.010000               0.010000   \n",
       "32                       0.010000          0.000000               0.000000   \n",
       "33                       0.010526          0.000000               0.000000   \n",
       "34                       0.000000          0.000000               0.000000   \n",
       "35                       0.047619          0.000000               0.000000   \n",
       "36                       0.000000          0.000000               0.000000   \n",
       "37                       0.000000          0.000000               0.000000   \n",
       "38                       0.000000          0.000000               0.000000   \n",
       "\n",
       "    Wine Bar  Wings Joint  Women's Store  \n",
       "0   0.010000     0.000000           0.01  \n",
       "1   0.000000     0.000000           0.00  \n",
       "2   0.000000     0.000000           0.00  \n",
       "3   0.000000     0.000000           0.00  \n",
       "4   0.000000     0.000000           0.00  \n",
       "5   0.000000     0.000000           0.00  \n",
       "6   0.011765     0.000000           0.00  \n",
       "7   0.011765     0.000000           0.00  \n",
       "8   0.000000     0.000000           0.00  \n",
       "9   0.000000     0.012500           0.00  \n",
       "10  0.010000     0.000000           0.00  \n",
       "11  0.000000     0.000000           0.00  \n",
       "12  0.000000     0.000000           0.00  \n",
       "13  0.000000     0.000000           0.00  \n",
       "14  0.010000     0.000000           0.00  \n",
       "15  0.000000     0.000000           0.00  \n",
       "16  0.010000     0.000000           0.00  \n",
       "17  0.000000     0.000000           0.00  \n",
       "18  0.000000     0.000000           0.00  \n",
       "19  0.000000     0.000000           0.00  \n",
       "20  0.010000     0.000000           0.00  \n",
       "21  0.000000     0.000000           0.00  \n",
       "22  0.000000     0.000000           0.00  \n",
       "23  0.018868     0.000000           0.00  \n",
       "24  0.000000     0.000000           0.00  \n",
       "25  0.000000     0.000000           0.00  \n",
       "26  0.000000     0.000000           0.00  \n",
       "27  0.000000     0.026316           0.00  \n",
       "28  0.000000     0.000000           0.00  \n",
       "29  0.000000     0.000000           0.00  \n",
       "30  0.000000     0.000000           0.00  \n",
       "31  0.010000     0.000000           0.00  \n",
       "32  0.010000     0.000000           0.00  \n",
       "33  0.000000     0.000000           0.00  \n",
       "34  0.024390     0.000000           0.00  \n",
       "35  0.000000     0.000000           0.00  \n",
       "36  0.000000     0.000000           0.00  \n",
       "37  0.000000     0.000000           0.00  \n",
       "38  0.000000     0.000000           0.00  \n",
       "\n",
       "[39 rows x 228 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# group rows by neighborhood and calculate the mean of the frequency of occurrence for each category\n",
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "toronto_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39, 228)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Adelaide, King, Richmond----\n",
      "             venue  freq\n",
      "0      Coffee Shop  0.06\n",
      "1  Thai Restaurant  0.04\n",
      "2             Café  0.04\n",
      "3       Steakhouse  0.04\n",
      "4              Bar  0.04\n",
      "\n",
      "\n",
      "----Berczy Park----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.09\n",
      "1          Steakhouse  0.04\n",
      "2                Café  0.04\n",
      "3            Beer Bar  0.04\n",
      "4  Seafood Restaurant  0.04\n",
      "\n",
      "\n",
      "----Brockton, Exhibition Place, Parkdale Village----\n",
      "               venue  freq\n",
      "0               Café  0.14\n",
      "1     Breakfast Spot  0.09\n",
      "2        Coffee Shop  0.09\n",
      "3  Convenience Store  0.05\n",
      "4          Nightclub  0.05\n",
      "\n",
      "\n",
      "----Business Reply Mail Processing Centre 969 Eastern----\n",
      "                venue  freq\n",
      "0  Light Rail Station  0.11\n",
      "1         Yoga Studio  0.06\n",
      "2       Auto Workshop  0.06\n",
      "3          Comic Shop  0.06\n",
      "4         Pizza Place  0.06\n",
      "\n",
      "\n",
      "----CN Tower, Bathurst Quay, Island airport, Harbourfront West, King and Spadina, Railway Lands, South Niagara----\n",
      "              venue  freq\n",
      "0   Airport Service  0.18\n",
      "1    Airport Lounge  0.12\n",
      "2  Airport Terminal  0.12\n",
      "3   Harbor / Marina  0.06\n",
      "4               Bar  0.06\n"
     ]
    }
   ],
   "source": [
    "# print the first 5 neighborhood with their top 5 venues\n",
    "no_of_top_venues = 5\n",
    "\n",
    "x = 0\n",
    "\n",
    "for neigh in toronto_grouped['Neighborhood']:\n",
    "    print(\"----\"+neigh+\"----\")\n",
    "    temp = toronto_grouped[toronto_grouped['Neighborhood'] == neigh].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(no_of_top_venues))\n",
    "    x += 1\n",
    "    if x==5:\n",
    "        break\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create a function to sort the venues in descending order\n",
    "def most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 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>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Adelaide, King, Richmond</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Brockton, Exhibition Place, Parkdale Village</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Business Reply Mail Processing Centre 969 Eastern</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>CN Tower, Bathurst Quay, Island airport, Harbo...</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>Cabbagetown, St. James Town</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>Chinatown, Grange Park, Kensington Market</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>Christie</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Candy Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Church and Wellesley</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>Fast Food Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>Davisville</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>Davisville North</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>Deer Park, Forest Hill SE, Rathnelly, South Hi...</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Liquor Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>Design Exchange, Toronto Dominion Centre</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Dovercourt Village, Dufferin</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>Forest Hill North, Forest Hill West</td>\n",
       "      <td>Park</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>Harbord, University of Toronto</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Harbourfront East, Toronto Islands, Union Station</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Arts &amp; Crafts Store</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Park</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Cupcake Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>North Toronto West</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Café</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>Rosedale</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Cupcake Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>Roselawn</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>Café</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>Stn A PO Boxes 25 The Esplanade</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Creperie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>Studio District</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Cupcake Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>The Beaches West, India Bazaar</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Frozen Yogurt Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood 1st Most Common Venue  \\\n",
       "0                            Adelaide, King, Richmond           Coffee Shop   \n",
       "1                                         Berczy Park           Coffee Shop   \n",
       "2        Brockton, Exhibition Place, Parkdale Village                  Café   \n",
       "3   Business Reply Mail Processing Centre 969 Eastern    Light Rail Station   \n",
       "4   CN Tower, Bathurst Quay, Island airport, Harbo...       Airport Service   \n",
       "5                         Cabbagetown, St. James Town                Bakery   \n",
       "6                                  Central Bay Street           Coffee Shop   \n",
       "7           Chinatown, Grange Park, Kensington Market                   Bar   \n",
       "8                                            Christie         Grocery Store   \n",
       "9                                Church and Wellesley           Coffee Shop   \n",
       "10                     Commerce Court, Victoria Hotel           Coffee Shop   \n",
       "11                                         Davisville        Sandwich Place   \n",
       "12                                   Davisville North                  Park   \n",
       "13  Deer Park, Forest Hill SE, Rathnelly, South Hi...                   Pub   \n",
       "14           Design Exchange, Toronto Dominion Centre           Coffee Shop   \n",
       "15                       Dovercourt Village, Dufferin                Bakery   \n",
       "16             First Canadian Place, Underground city           Coffee Shop   \n",
       "17                Forest Hill North, Forest Hill West                  Park   \n",
       "18                     Harbord, University of Toronto                  Café   \n",
       "19                                       Harbourfront           Coffee Shop   \n",
       "20  Harbourfront East, Toronto Islands, Union Station           Coffee Shop   \n",
       "21                      High Park, The Junction South    Mexican Restaurant   \n",
       "22                                      Lawrence Park                  Park   \n",
       "23                           Little Portugal, Trinity                   Bar   \n",
       "24                        Moore Park, Summerhill East                  Park   \n",
       "25                                 North Toronto West        Clothing Store   \n",
       "26                             Parkdale, Roncesvalles             Gift Shop   \n",
       "27                                       Queen's Park           Coffee Shop   \n",
       "28                                           Rosedale                  Park   \n",
       "29                                           Roselawn                Garden   \n",
       "30                                 Runnymede, Swansea                  Café   \n",
       "31                           Ryerson, Garden District           Coffee Shop   \n",
       "32                                     St. James Town           Coffee Shop   \n",
       "33                    Stn A PO Boxes 25 The Esplanade           Coffee Shop   \n",
       "34                                    Studio District                  Café   \n",
       "35                The Annex, North Midtown, Yorkville        Sandwich Place   \n",
       "36                                        The Beaches                  Park   \n",
       "37                     The Beaches West, India Bazaar        Sandwich Place   \n",
       "38                       The Danforth West, Riverdale      Greek Restaurant   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue        4th Most Common Venue  \\\n",
       "0             Steakhouse                   Bar              Thai Restaurant   \n",
       "1             Steakhouse        Farmers Market           Seafood Restaurant   \n",
       "2         Breakfast Spot           Coffee Shop        Performing Arts Venue   \n",
       "3            Yoga Studio         Auto Workshop                   Comic Shop   \n",
       "4         Airport Lounge      Airport Terminal                Boat or Ferry   \n",
       "5            Coffee Shop                  Café                   Restaurant   \n",
       "6                   Café    Italian Restaurant               Sandwich Place   \n",
       "7                   Café   Dumpling Restaurant        Vietnamese Restaurant   \n",
       "8                   Café                  Park                  Coffee Shop   \n",
       "9    Japanese Restaurant      Sushi Restaurant                      Gay Bar   \n",
       "10                  Café            Restaurant                        Hotel   \n",
       "11          Dessert Shop           Pizza Place                  Coffee Shop   \n",
       "12                   Gym        Breakfast Spot               Sandwich Place   \n",
       "13           Coffee Shop   American Restaurant                   Restaurant   \n",
       "14                  Café                 Hotel                   Restaurant   \n",
       "15              Pharmacy                  Bank                      Brewery   \n",
       "16                  Café            Restaurant                Deli / Bodega   \n",
       "17         Jewelry Store                 Trail             Sushi Restaurant   \n",
       "18                   Bar             Bookstore          Japanese Restaurant   \n",
       "19                Bakery                   Pub                         Park   \n",
       "20              Aquarium                 Hotel                         Café   \n",
       "21       Thai Restaurant                  Café                          Bar   \n",
       "22           Swim School              Bus Line                 Dance Studio   \n",
       "23           Coffee Shop      Asian Restaurant                   Restaurant   \n",
       "24            Playground          Cupcake Shop          Dumpling Restaurant   \n",
       "25           Coffee Shop           Yoga Studio                         Café   \n",
       "26                  Bank    Italian Restaurant  Eastern European Restaurant   \n",
       "27                  Park                   Gym                  Yoga Studio   \n",
       "28            Playground                 Trail                 Cupcake Shop   \n",
       "29         Women's Store          Dance Studio  Eastern European Restaurant   \n",
       "30              Tea Room      Sushi Restaurant                  Pizza Place   \n",
       "31        Clothing Store   Japanese Restaurant                         Café   \n",
       "32                  Café            Restaurant                        Hotel   \n",
       "33                  Café    Italian Restaurant          Japanese Restaurant   \n",
       "34           Coffee Shop                Bakery           Italian Restaurant   \n",
       "35                  Café           Coffee Shop               Cosmetics Shop   \n",
       "36                 Trail     Health Food Store                          Pub   \n",
       "37     Food & Drink Shop    Light Rail Station                      Brewery   \n",
       "38    Italian Restaurant           Coffee Shop               Ice Cream Shop   \n",
       "\n",
       "     5th Most Common Venue  6th Most Common Venue 7th Most Common Venue  \\\n",
       "0                     Café           Burger Joint            Restaurant   \n",
       "1             Cocktail Bar                 Bakery              Beer Bar   \n",
       "2                      Bar                 Bakery          Intersection   \n",
       "3                     Park            Pizza Place               Butcher   \n",
       "4              Coffee Shop               Boutique   Rental Car Location   \n",
       "5       Italian Restaurant            Pizza Place                   Pub   \n",
       "6                Juice Bar    Japanese Restaurant          Burger Joint   \n",
       "7              Coffee Shop     Chinese Restaurant    Mexican Restaurant   \n",
       "8       Athletics & Sports                  Diner    Italian Restaurant   \n",
       "9               Restaurant   Fast Food Restaurant             Gastropub   \n",
       "10                     Gym     Seafood Restaurant            Steakhouse   \n",
       "11                     Gym     Italian Restaurant                  Café   \n",
       "12       Food & Drink Shop       Department Store                 Hotel   \n",
       "13        Sushi Restaurant             Sports Bar           Pizza Place   \n",
       "14      Italian Restaurant     Seafood Restaurant            Steakhouse   \n",
       "15             Supermarket            Music Venue         Grocery Store   \n",
       "16            Burger Joint                    Bar      Asian Restaurant   \n",
       "17            Dance Studio    Dumpling Restaurant            Donut Shop   \n",
       "18              Restaurant                 Bakery                   Pub   \n",
       "19                    Café         Breakfast Spot    Mexican Restaurant   \n",
       "20      Italian Restaurant    Fried Chicken Joint               Brewery   \n",
       "21     Arts & Crafts Store              Speakeasy           Music Venue   \n",
       "22     Dumpling Restaurant             Donut Shop      Doner Restaurant   \n",
       "23             Pizza Place  Vietnamese Restaurant                  Café   \n",
       "24              Donut Shop       Doner Restaurant               Dog Run   \n",
       "25                   Diner     Salon / Barbershop          Dessert Shop   \n",
       "26                 Dog Run           Dessert Shop      Cuban Restaurant   \n",
       "27           Burrito Place               Beer Bar    Italian Restaurant   \n",
       "28     Dumpling Restaurant             Donut Shop      Doner Restaurant   \n",
       "29     Dumpling Restaurant             Donut Shop      Doner Restaurant   \n",
       "30             Coffee Shop     Italian Restaurant            Restaurant   \n",
       "31          Cosmetics Shop      Electronics Store    Italian Restaurant   \n",
       "32          Breakfast Spot         Clothing Store                Bakery   \n",
       "33      Seafood Restaurant                  Hotel              Beer Bar   \n",
       "34                 Brewery    American Restaurant             Gastropub   \n",
       "35                Pharmacy      Indian Restaurant             BBQ Joint   \n",
       "36            Cupcake Shop    Dumpling Restaurant            Donut Shop   \n",
       "37            Liquor Store           Burger Joint    Italian Restaurant   \n",
       "38  Furniture / Home Store     Frozen Yogurt Shop                   Pub   \n",
       "\n",
       "            8th Most Common Venue      9th Most Common Venue  \\\n",
       "0                          Bakery             Cosmetics Shop   \n",
       "1                     Cheese Shop                       Café   \n",
       "2              Italian Restaurant                 Restaurant   \n",
       "3                   Burrito Place                 Restaurant   \n",
       "4                             Bar            Harbor / Marina   \n",
       "5                       Pet Store                   Pharmacy   \n",
       "6                  Ice Cream Shop            Thai Restaurant   \n",
       "7   Vegetarian / Vegan Restaurant             Farmers Market   \n",
       "8                      Restaurant                 Baby Store   \n",
       "9                            Café                        Gym   \n",
       "10                         Bakery         Italian Restaurant   \n",
       "11               Sushi Restaurant                   Pharmacy   \n",
       "12                   Dance Studio                 Donut Shop   \n",
       "13            Fried Chicken Joint                Supermarket   \n",
       "14            American Restaurant              Deli / Bodega   \n",
       "15                            Bar       Gym / Fitness Center   \n",
       "16                     Steakhouse        Japanese Restaurant   \n",
       "17               Doner Restaurant                    Dog Run   \n",
       "18                       Beer Bar                 Beer Store   \n",
       "19                        Theater                 Beer Store   \n",
       "20                     Restaurant             Scenic Lookout   \n",
       "21                      Bookstore                       Park   \n",
       "22                        Dog Run             Discount Store   \n",
       "23                    Men's Store           Greek Restaurant   \n",
       "24                 Discount Store                      Diner   \n",
       "25                            Spa                 Restaurant   \n",
       "26                  Movie Theater                 Restaurant   \n",
       "27            Japanese Restaurant             Sandwich Place   \n",
       "28                        Dog Run             Discount Store   \n",
       "29                        Dog Run             Discount Store   \n",
       "30                    Yoga Studio                        Bar   \n",
       "31                 Lingerie Store  Middle Eastern Restaurant   \n",
       "32                 Cosmetics Shop                   Beer Bar   \n",
       "33                     Restaurant               Cocktail Bar   \n",
       "34                    Yoga Studio             Clothing Store   \n",
       "35                 History Museum  Middle Eastern Restaurant   \n",
       "36               Doner Restaurant                    Dog Run   \n",
       "37                  Burrito Place                        Pub   \n",
       "38                    Pizza Place               Liquor Store   \n",
       "\n",
       "    10th Most Common Venue  \n",
       "0         Sushi Restaurant  \n",
       "1         Greek Restaurant  \n",
       "2            Burrito Place  \n",
       "3                  Brewery  \n",
       "4         Sculpture Garden  \n",
       "5               Playground  \n",
       "6              Salad Place  \n",
       "7            Grocery Store  \n",
       "8              Candy Store  \n",
       "9                    Hotel  \n",
       "10           Deli / Bodega  \n",
       "11                 Brewery  \n",
       "12        Doner Restaurant  \n",
       "13            Liquor Store  \n",
       "14                     Bar  \n",
       "15                    Park  \n",
       "16     American Restaurant  \n",
       "17          Discount Store  \n",
       "18          Sandwich Place  \n",
       "19                   Hotel  \n",
       "20                     Bar  \n",
       "21  Furniture / Home Store  \n",
       "22                   Diner  \n",
       "23               Juice Bar  \n",
       "24      Dim Sum Restaurant  \n",
       "25     Sporting Goods Shop  \n",
       "26          Breakfast Spot  \n",
       "27               Juice Bar  \n",
       "28                   Diner  \n",
       "29                   Diner  \n",
       "30      Falafel Restaurant  \n",
       "31            Burger Joint  \n",
       "32                   Diner  \n",
       "33                Creperie  \n",
       "34               Bookstore  \n",
       "35             Pizza Place  \n",
       "36          Discount Store  \n",
       "37          Ice Cream Shop  \n",
       "38               Juice Bar  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a new dataframe and includes the top 10 venues for each neighborhood\n",
    "no_of_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(no_of_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = most_common_venues(toronto_grouped.iloc[ind, :], no_of_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Perform the k-means clustering algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 0, 0,\n",
       "       3, 0, 1, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 4, 4, 0])"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# use k-means to cluster the neighborhood into 5 clusters\n",
    "# set number of clusters\n",
    "kclusters = 5\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "toronto_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",
    "toronto_kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 4, 0, 0, 0, 0,\n",
       "       3, 0, 1, 0, 0, 0, 1, 2, 0, 0, 0, 0, 0, 0, 4, 4, 0])"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "neighborhoods_venues_sorted.drop(columns='Cluster Labels',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postcode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
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       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
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       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>M5C</td>\n",
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       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
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      ],
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       "   Postcode           Borough              Neighborhood   Latitude  Longitude\n",
       "2       M5A  Downtown Toronto              Harbourfront  43.654260 -79.360636\n",
       "4       M7A  Downtown Toronto              Queen's Park  43.662301 -79.389494\n",
       "9       M5B  Downtown Toronto  Ryerson, Garden District  43.657162 -79.378937\n",
       "15      M5C  Downtown Toronto            St. James Town  43.651494 -79.375418\n",
       "19      M4E      East Toronto               The Beaches  43.676357 -79.293031"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_df.columns = ['Postcode','Borough','Neighborhood','Latitude','Longitude']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
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       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
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       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
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       "      <td>2</td>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>M5B</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Ryerson, Garden District</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>M5C</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>M4E</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Cupcake Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   Postcode           Borough              Neighborhood   Latitude  Longitude  \\\n",
       "2       M5A  Downtown Toronto              Harbourfront  43.654260 -79.360636   \n",
       "4       M7A  Downtown Toronto              Queen's Park  43.662301 -79.389494   \n",
       "9       M5B  Downtown Toronto  Ryerson, Garden District  43.657162 -79.378937   \n",
       "15      M5C  Downtown Toronto            St. James Town  43.651494 -79.375418   \n",
       "19      M4E      East Toronto               The Beaches  43.676357 -79.293031   \n",
       "\n",
       "    Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "2                0           Coffee Shop                Bakery   \n",
       "4                0           Coffee Shop                  Park   \n",
       "9                0           Coffee Shop        Clothing Store   \n",
       "15               0           Coffee Shop                  Café   \n",
       "19               4                  Park                 Trail   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "2                    Pub                  Park                  Café   \n",
       "4                    Gym           Yoga Studio         Burrito Place   \n",
       "9    Japanese Restaurant                  Café        Cosmetics Shop   \n",
       "15            Restaurant                 Hotel        Breakfast Spot   \n",
       "19     Health Food Store                   Pub          Cupcake Shop   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "2         Breakfast Spot    Mexican Restaurant               Theater   \n",
       "4               Beer Bar    Italian Restaurant   Japanese Restaurant   \n",
       "9      Electronics Store    Italian Restaurant        Lingerie Store   \n",
       "15        Clothing Store                Bakery        Cosmetics Shop   \n",
       "19   Dumpling Restaurant            Donut Shop      Doner Restaurant   \n",
       "\n",
       "        9th Most Common Venue 10th Most Common Venue  \n",
       "2                  Beer Store                  Hotel  \n",
       "4              Sandwich Place              Juice Bar  \n",
       "9   Middle Eastern Restaurant           Burger Joint  \n",
       "15                   Beer Bar                  Diner  \n",
       "19                    Dog Run         Discount Store  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a new dataframe that includes the 5 clusters + top 10 venues for each neighborhood\n",
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0,'Cluster Labels',toronto_kmeans.labels_)\n",
    "\n",
    "toronto_merged = toronto_df\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on ='Neighborhood')\n",
    "\n",
    "# check the last columns!\n",
    "toronto_merged.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Map the resulting clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
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        ;

        
    
    
            var circle_marker_ae4732949cce47a783f79e7d2455a9e5 = L.circleMarker(
                [43.6514939, -79.3754179],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_1d82a555cd0c4963a8dfaa4cdce0aaa0 = L.popup({"maxWidth": "100%"});

        
            var html_c0374815e2384e03bf861698d7b02594 = $(`<div id="html_c0374815e2384e03bf861698d7b02594" style="width: 100.0%; height: 100.0%;">St. James Town Cluster 0</div>`)[0];
            popup_1d82a555cd0c4963a8dfaa4cdce0aaa0.setContent(html_c0374815e2384e03bf861698d7b02594);
        

        circle_marker_ae4732949cce47a783f79e7d2455a9e5.bindPopup(popup_1d82a555cd0c4963a8dfaa4cdce0aaa0)
        ;

        
    
    
            var circle_marker_fca477ce7c0e4bbf852aab6f2496eee5 = L.circleMarker(
                [43.67635739999999, -79.2930312],
                {"bubblingMouseEvents": true, "color": "#ffb360", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ffb360", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_7195d45a702a44df9ff0a68932b446be = L.popup({"maxWidth": "100%"});

        
            var html_1fcf7f407bcb4de3855e34134d692ef3 = $(`<div id="html_1fcf7f407bcb4de3855e34134d692ef3" style="width: 100.0%; height: 100.0%;">The Beaches Cluster 4</div>`)[0];
            popup_7195d45a702a44df9ff0a68932b446be.setContent(html_1fcf7f407bcb4de3855e34134d692ef3);
        

        circle_marker_fca477ce7c0e4bbf852aab6f2496eee5.bindPopup(popup_7195d45a702a44df9ff0a68932b446be)
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            var circle_marker_0c850cecc4174fbc9e5ef85a25735283 = L.circleMarker(
                [43.644770799999996, -79.3733064],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_fc0feafd32184ae2a7922b1846e4c069 = L.popup({"maxWidth": "100%"});

        
            var html_88ade0f81c7045eb8228393011b28886 = $(`<div id="html_88ade0f81c7045eb8228393011b28886" style="width: 100.0%; height: 100.0%;">Berczy Park Cluster 0</div>`)[0];
            popup_fc0feafd32184ae2a7922b1846e4c069.setContent(html_88ade0f81c7045eb8228393011b28886);
        

        circle_marker_0c850cecc4174fbc9e5ef85a25735283.bindPopup(popup_fc0feafd32184ae2a7922b1846e4c069)
        ;

        
    
    
            var circle_marker_cdfd71894dbc46689443960b961af7e0 = L.circleMarker(
                [43.6579524, -79.3873826],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_e696ddafd95142e195541901631a29c1 = L.popup({"maxWidth": "100%"});

        
            var html_57e72033cc474b1ca90be11965afa42e = $(`<div id="html_57e72033cc474b1ca90be11965afa42e" style="width: 100.0%; height: 100.0%;">Central Bay Street Cluster 0</div>`)[0];
            popup_e696ddafd95142e195541901631a29c1.setContent(html_57e72033cc474b1ca90be11965afa42e);
        

        circle_marker_cdfd71894dbc46689443960b961af7e0.bindPopup(popup_e696ddafd95142e195541901631a29c1)
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            var circle_marker_29d9789f6c1e4694b840aa2c1ec2e279 = L.circleMarker(
                [43.669542, -79.4225637],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_f6a0488657464f9daeeeab594127d991 = L.popup({"maxWidth": "100%"});

        
            var html_2de29da159dc4fb3863175a71a764112 = $(`<div id="html_2de29da159dc4fb3863175a71a764112" style="width: 100.0%; height: 100.0%;">Christie Cluster 0</div>`)[0];
            popup_f6a0488657464f9daeeeab594127d991.setContent(html_2de29da159dc4fb3863175a71a764112);
        

        circle_marker_29d9789f6c1e4694b840aa2c1ec2e279.bindPopup(popup_f6a0488657464f9daeeeab594127d991)
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            var circle_marker_33f57c5ff2d74dcaa879972805271cc2 = L.circleMarker(
                [43.65057120000001, -79.3845675],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_fc4f0508fffb4dfab4774e2b1b968ab2 = L.popup({"maxWidth": "100%"});

        
            var html_7a875fbfa76e4f259812c0db2d46f83e = $(`<div id="html_7a875fbfa76e4f259812c0db2d46f83e" style="width: 100.0%; height: 100.0%;">Adelaide, King, Richmond Cluster 0</div>`)[0];
            popup_fc4f0508fffb4dfab4774e2b1b968ab2.setContent(html_7a875fbfa76e4f259812c0db2d46f83e);
        

        circle_marker_33f57c5ff2d74dcaa879972805271cc2.bindPopup(popup_fc4f0508fffb4dfab4774e2b1b968ab2)
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            var circle_marker_043c6540dfb2499ab9d4fdc244878874 = L.circleMarker(
                [43.66900510000001, -79.4422593],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_729a0dfb0bc9499ab10bb6c21586fcd8 = L.popup({"maxWidth": "100%"});

        
            var html_8dbcc7e2eacd4f248e0e76de60f536f4 = $(`<div id="html_8dbcc7e2eacd4f248e0e76de60f536f4" style="width: 100.0%; height: 100.0%;">Dovercourt Village, Dufferin Cluster 0</div>`)[0];
            popup_729a0dfb0bc9499ab10bb6c21586fcd8.setContent(html_8dbcc7e2eacd4f248e0e76de60f536f4);
        

        circle_marker_043c6540dfb2499ab9d4fdc244878874.bindPopup(popup_729a0dfb0bc9499ab10bb6c21586fcd8)
        ;

        
    
    
            var circle_marker_dd66af5f72a94003a0d72f8f1a29339a = L.circleMarker(
                [43.6408157, -79.38175229999999],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_fdecfd8e14c4417d8761573b1cbdf7eb = L.popup({"maxWidth": "100%"});

        
            var html_339ea692756741afaa6e25b36b06a4e6 = $(`<div id="html_339ea692756741afaa6e25b36b06a4e6" style="width: 100.0%; height: 100.0%;">Harbourfront East, Toronto Islands, Union Station Cluster 0</div>`)[0];
            popup_fdecfd8e14c4417d8761573b1cbdf7eb.setContent(html_339ea692756741afaa6e25b36b06a4e6);
        

        circle_marker_dd66af5f72a94003a0d72f8f1a29339a.bindPopup(popup_fdecfd8e14c4417d8761573b1cbdf7eb)
        ;

        
    
    
            var circle_marker_53feb6fef33140a6a36b53e3965a273c = L.circleMarker(
                [43.647926700000006, -79.4197497],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_bebde8c9a8894ade9e8894efa6144934 = L.popup({"maxWidth": "100%"});

        
            var html_463700154ab04c2db37da1f16fd4dbe4 = $(`<div id="html_463700154ab04c2db37da1f16fd4dbe4" style="width: 100.0%; height: 100.0%;">Little Portugal, Trinity Cluster 0</div>`)[0];
            popup_bebde8c9a8894ade9e8894efa6144934.setContent(html_463700154ab04c2db37da1f16fd4dbe4);
        

        circle_marker_53feb6fef33140a6a36b53e3965a273c.bindPopup(popup_bebde8c9a8894ade9e8894efa6144934)
        ;

        
    
    
            var circle_marker_d3ec0e850faa422ba780017413924e59 = L.circleMarker(
                [43.6795571, -79.352188],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_d32821b138564285878f96de02ee6d65 = L.popup({"maxWidth": "100%"});

        
            var html_80a65f726bcf4ca19943f1eee363e529 = $(`<div id="html_80a65f726bcf4ca19943f1eee363e529" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale Cluster 0</div>`)[0];
            popup_d32821b138564285878f96de02ee6d65.setContent(html_80a65f726bcf4ca19943f1eee363e529);
        

        circle_marker_d3ec0e850faa422ba780017413924e59.bindPopup(popup_d32821b138564285878f96de02ee6d65)
        ;

        
    
    
            var circle_marker_b5e4bb5eb3934334934de916e82ee8d6 = L.circleMarker(
                [43.6471768, -79.38157640000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_151aa9ea24c64ca5ae3ca30bacc29c23 = L.popup({"maxWidth": "100%"});

        
            var html_fb6d60bbd23e489daa81e0888b245860 = $(`<div id="html_fb6d60bbd23e489daa81e0888b245860" style="width: 100.0%; height: 100.0%;">Design Exchange, Toronto Dominion Centre Cluster 0</div>`)[0];
            popup_151aa9ea24c64ca5ae3ca30bacc29c23.setContent(html_fb6d60bbd23e489daa81e0888b245860);
        

        circle_marker_b5e4bb5eb3934334934de916e82ee8d6.bindPopup(popup_151aa9ea24c64ca5ae3ca30bacc29c23)
        ;

        
    
    
            var circle_marker_45194c1f24374a519d9abdc98da89ad8 = L.circleMarker(
                [43.6368472, -79.42819140000002],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_e57fb32078154da098220cafd5608222 = L.popup({"maxWidth": "100%"});

        
            var html_d4f671f130f84e16b939512e023eb697 = $(`<div id="html_d4f671f130f84e16b939512e023eb697" style="width: 100.0%; height: 100.0%;">Brockton, Exhibition Place, Parkdale Village Cluster 0</div>`)[0];
            popup_e57fb32078154da098220cafd5608222.setContent(html_d4f671f130f84e16b939512e023eb697);
        

        circle_marker_45194c1f24374a519d9abdc98da89ad8.bindPopup(popup_e57fb32078154da098220cafd5608222)
        ;

        
    
    
            var circle_marker_c05fb63118cf4375b152f01dcb8db539 = L.circleMarker(
                [43.6689985, -79.31557159999998],
                {"bubblingMouseEvents": true, "color": "#ffb360", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ffb360", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_690857063aae4bbd8c30ad2368897b6e = L.popup({"maxWidth": "100%"});

        
            var html_5a5a6653f66a48dfb9c77a782e5a448a = $(`<div id="html_5a5a6653f66a48dfb9c77a782e5a448a" style="width: 100.0%; height: 100.0%;">The Beaches West, India Bazaar Cluster 4</div>`)[0];
            popup_690857063aae4bbd8c30ad2368897b6e.setContent(html_5a5a6653f66a48dfb9c77a782e5a448a);
        

        circle_marker_c05fb63118cf4375b152f01dcb8db539.bindPopup(popup_690857063aae4bbd8c30ad2368897b6e)
        ;

        
    
    
            var circle_marker_110dc7baf9d743baa0ecd4f1ebedf6ae = L.circleMarker(
                [43.6481985, -79.37981690000001],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_5ac3ea41ef75489c8d6c11c8082886e6 = L.popup({"maxWidth": "100%"});

        
            var html_dcb41f6b35b44b04affbfba81a9efb14 = $(`<div id="html_dcb41f6b35b44b04affbfba81a9efb14" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel Cluster 0</div>`)[0];
            popup_5ac3ea41ef75489c8d6c11c8082886e6.setContent(html_dcb41f6b35b44b04affbfba81a9efb14);
        

        circle_marker_110dc7baf9d743baa0ecd4f1ebedf6ae.bindPopup(popup_5ac3ea41ef75489c8d6c11c8082886e6)
        ;

        
    
    
            var circle_marker_cb35297095d647119eda3b51b5552b5d = L.circleMarker(
                [43.6595255, -79.340923],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_f6f4b5ee203047a5a1bf736e2aa01a48 = L.popup({"maxWidth": "100%"});

        
            var html_d33fb23fc8e74d699b1fa743e80d8fb7 = $(`<div id="html_d33fb23fc8e74d699b1fa743e80d8fb7" style="width: 100.0%; height: 100.0%;">Studio District Cluster 0</div>`)[0];
            popup_f6f4b5ee203047a5a1bf736e2aa01a48.setContent(html_d33fb23fc8e74d699b1fa743e80d8fb7);
        

        circle_marker_cb35297095d647119eda3b51b5552b5d.bindPopup(popup_f6f4b5ee203047a5a1bf736e2aa01a48)
        ;

        
    
    
            var circle_marker_b9c02e9a7fea47259982b451fc85e6dd = L.circleMarker(
                [43.7280205, -79.3887901],
                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_0c7ee175c078416f8328a94ec3cde0df = L.popup({"maxWidth": "100%"});

        
            var html_b250ca21ad1e48d39cf48d44f4891a60 = $(`<div id="html_b250ca21ad1e48d39cf48d44f4891a60" style="width: 100.0%; height: 100.0%;">Lawrence Park Cluster 3</div>`)[0];
            popup_0c7ee175c078416f8328a94ec3cde0df.setContent(html_b250ca21ad1e48d39cf48d44f4891a60);
        

        circle_marker_b9c02e9a7fea47259982b451fc85e6dd.bindPopup(popup_0c7ee175c078416f8328a94ec3cde0df)
        ;

        
    
    
            var circle_marker_feed51cb11d54e59aa042dbfadf5d7a4 = L.circleMarker(
                [43.7116948, -79.41693559999999],
                {"bubblingMouseEvents": true, "color": "#00b5eb", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#00b5eb", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_609fab4e17dc4c9db4807af381c62101 = L.popup({"maxWidth": "100%"});

        
            var html_402f492d00de445287abd3d72a3bc50c = $(`<div id="html_402f492d00de445287abd3d72a3bc50c" style="width: 100.0%; height: 100.0%;">Roselawn Cluster 2</div>`)[0];
            popup_609fab4e17dc4c9db4807af381c62101.setContent(html_402f492d00de445287abd3d72a3bc50c);
        

        circle_marker_feed51cb11d54e59aa042dbfadf5d7a4.bindPopup(popup_609fab4e17dc4c9db4807af381c62101)
        ;

        
    
    
            var circle_marker_04b37338c3744e30846fdc9a9d5aa895 = L.circleMarker(
                [43.7127511, -79.3901975],
                {"bubblingMouseEvents": true, "color": "#ffb360", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ffb360", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_bad3007b87a14c76bce94a3b05e532ed = L.popup({"maxWidth": "100%"});

        
            var html_961603a7405a44589a831f3e7d88ac3a = $(`<div id="html_961603a7405a44589a831f3e7d88ac3a" style="width: 100.0%; height: 100.0%;">Davisville North Cluster 4</div>`)[0];
            popup_bad3007b87a14c76bce94a3b05e532ed.setContent(html_961603a7405a44589a831f3e7d88ac3a);
        

        circle_marker_04b37338c3744e30846fdc9a9d5aa895.bindPopup(popup_bad3007b87a14c76bce94a3b05e532ed)
        ;

        
    
    
            var circle_marker_1b2e9e4ba24d4c8bae321b5cb92487ee = L.circleMarker(
                [43.6969476, -79.41130720000001],
                {"bubblingMouseEvents": true, "color": "#ffb360", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ffb360", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_cba1eedec8a14ab49ac229b056de1ec6);
        
    
        var popup_6474b945f7b84899a832ca2e20a4763c = L.popup({"maxWidth": "100%"});

        
            var html_3721aa2380c7460392dc08dc6320cc56 = $(`<div id="html_3721aa2380c7460392dc08dc6320cc56" style="width: 100.0%; height: 100.0%;">Forest Hill North, Forest Hill West Cluster 4</div>`)[0];
            popup_6474b945f7b84899a832ca2e20a4763c.setContent(html_3721aa2380c7460392dc08dc6320cc56);
        

        circle_marker_1b2e9e4ba24d4c8bae321b5cb92487ee.bindPopup(popup_6474b945f7b84899a832ca2e20a4763c)
        ;

        
    
    
            var circle_marker_f6ad28a5e00445a196f9460858ee7297 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
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            var html_76a81b0576cf4090a9024dd7e9cd69fe = $(`<div id="html_76a81b0576cf4090a9024dd7e9cd69fe" style="width: 100.0%; height: 100.0%;">Business Reply Mail Processing Centre 969 Eastern Cluster 0</div>`)[0];
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x20061c57b88>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "# create the map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighborhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Show the 5 clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Lingerie Store</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Candy Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Frozen Yogurt Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>48</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>54</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>69</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Arts &amp; Crafts Store</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Park</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>73</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Café</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Salon / Barbershop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>74</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>BBQ Joint</td>\n",
       "      <td>History Museum</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>79</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>80</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>81</td>\n",
       "      <td>West Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Café</td>\n",
       "      <td>Tea Room</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Falafel Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>84</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>86</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Liquor Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>87</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>92</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Creperie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>96</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>97</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>99</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>0</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>Fast Food Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>100</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>0</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "2    Downtown Toronto               0           Coffee Shop   \n",
       "4    Downtown Toronto               0           Coffee Shop   \n",
       "9    Downtown Toronto               0           Coffee Shop   \n",
       "15   Downtown Toronto               0           Coffee Shop   \n",
       "20   Downtown Toronto               0           Coffee Shop   \n",
       "24   Downtown Toronto               0           Coffee Shop   \n",
       "25   Downtown Toronto               0         Grocery Store   \n",
       "30   Downtown Toronto               0           Coffee Shop   \n",
       "31       West Toronto               0                Bakery   \n",
       "36   Downtown Toronto               0           Coffee Shop   \n",
       "37       West Toronto               0                   Bar   \n",
       "41       East Toronto               0      Greek Restaurant   \n",
       "42   Downtown Toronto               0           Coffee Shop   \n",
       "43       West Toronto               0                  Café   \n",
       "48   Downtown Toronto               0           Coffee Shop   \n",
       "54       East Toronto               0                  Café   \n",
       "69       West Toronto               0    Mexican Restaurant   \n",
       "73    Central Toronto               0        Clothing Store   \n",
       "74    Central Toronto               0        Sandwich Place   \n",
       "75       West Toronto               0             Gift Shop   \n",
       "79    Central Toronto               0        Sandwich Place   \n",
       "80   Downtown Toronto               0                  Café   \n",
       "81       West Toronto               0                  Café   \n",
       "84   Downtown Toronto               0                   Bar   \n",
       "86    Central Toronto               0                   Pub   \n",
       "87   Downtown Toronto               0       Airport Service   \n",
       "92   Downtown Toronto               0           Coffee Shop   \n",
       "96   Downtown Toronto               0                Bakery   \n",
       "97   Downtown Toronto               0           Coffee Shop   \n",
       "99   Downtown Toronto               0           Coffee Shop   \n",
       "100      East Toronto               0    Light Rail Station   \n",
       "\n",
       "    2nd Most Common Venue 3rd Most Common Venue        4th Most Common Venue  \\\n",
       "2                  Bakery                   Pub                         Park   \n",
       "4                    Park                   Gym                  Yoga Studio   \n",
       "9          Clothing Store   Japanese Restaurant                         Café   \n",
       "15                   Café            Restaurant                        Hotel   \n",
       "20             Steakhouse        Farmers Market           Seafood Restaurant   \n",
       "24                   Café    Italian Restaurant               Sandwich Place   \n",
       "25                   Café                  Park                  Coffee Shop   \n",
       "30             Steakhouse                   Bar              Thai Restaurant   \n",
       "31               Pharmacy                  Bank                      Brewery   \n",
       "36               Aquarium                 Hotel                         Café   \n",
       "37            Coffee Shop      Asian Restaurant                   Restaurant   \n",
       "41     Italian Restaurant           Coffee Shop               Ice Cream Shop   \n",
       "42                   Café                 Hotel                   Restaurant   \n",
       "43         Breakfast Spot           Coffee Shop        Performing Arts Venue   \n",
       "48                   Café            Restaurant                        Hotel   \n",
       "54            Coffee Shop                Bakery           Italian Restaurant   \n",
       "69        Thai Restaurant                  Café                          Bar   \n",
       "73            Coffee Shop           Yoga Studio                         Café   \n",
       "74                   Café           Coffee Shop               Cosmetics Shop   \n",
       "75                   Bank    Italian Restaurant  Eastern European Restaurant   \n",
       "79           Dessert Shop           Pizza Place                  Coffee Shop   \n",
       "80                    Bar             Bookstore          Japanese Restaurant   \n",
       "81               Tea Room      Sushi Restaurant                  Pizza Place   \n",
       "84                   Café   Dumpling Restaurant        Vietnamese Restaurant   \n",
       "86            Coffee Shop   American Restaurant                   Restaurant   \n",
       "87         Airport Lounge      Airport Terminal                Boat or Ferry   \n",
       "92                   Café    Italian Restaurant          Japanese Restaurant   \n",
       "96            Coffee Shop                  Café                   Restaurant   \n",
       "97                   Café            Restaurant                Deli / Bodega   \n",
       "99    Japanese Restaurant      Sushi Restaurant                      Gay Bar   \n",
       "100           Yoga Studio         Auto Workshop                   Comic Shop   \n",
       "\n",
       "      5th Most Common Venue  6th Most Common Venue 7th Most Common Venue  \\\n",
       "2                      Café         Breakfast Spot    Mexican Restaurant   \n",
       "4             Burrito Place               Beer Bar    Italian Restaurant   \n",
       "9            Cosmetics Shop      Electronics Store    Italian Restaurant   \n",
       "15           Breakfast Spot         Clothing Store                Bakery   \n",
       "20             Cocktail Bar                 Bakery              Beer Bar   \n",
       "24                Juice Bar    Japanese Restaurant          Burger Joint   \n",
       "25       Athletics & Sports                  Diner    Italian Restaurant   \n",
       "30                     Café           Burger Joint            Restaurant   \n",
       "31              Supermarket            Music Venue         Grocery Store   \n",
       "36       Italian Restaurant    Fried Chicken Joint               Brewery   \n",
       "37              Pizza Place  Vietnamese Restaurant                  Café   \n",
       "41   Furniture / Home Store     Frozen Yogurt Shop                   Pub   \n",
       "42       Italian Restaurant     Seafood Restaurant            Steakhouse   \n",
       "43                      Bar                 Bakery          Intersection   \n",
       "48                      Gym     Seafood Restaurant            Steakhouse   \n",
       "54                  Brewery    American Restaurant             Gastropub   \n",
       "69      Arts & Crafts Store              Speakeasy           Music Venue   \n",
       "73                    Diner     Salon / Barbershop          Dessert Shop   \n",
       "74                 Pharmacy      Indian Restaurant             BBQ Joint   \n",
       "75                  Dog Run           Dessert Shop      Cuban Restaurant   \n",
       "79                      Gym     Italian Restaurant                  Café   \n",
       "80               Restaurant                 Bakery                   Pub   \n",
       "81              Coffee Shop     Italian Restaurant            Restaurant   \n",
       "84              Coffee Shop     Chinese Restaurant    Mexican Restaurant   \n",
       "86         Sushi Restaurant             Sports Bar           Pizza Place   \n",
       "87              Coffee Shop               Boutique   Rental Car Location   \n",
       "92       Seafood Restaurant                  Hotel              Beer Bar   \n",
       "96       Italian Restaurant            Pizza Place                   Pub   \n",
       "97             Burger Joint                    Bar      Asian Restaurant   \n",
       "99               Restaurant   Fast Food Restaurant             Gastropub   \n",
       "100                    Park            Pizza Place               Butcher   \n",
       "\n",
       "             8th Most Common Venue      9th Most Common Venue  \\\n",
       "2                          Theater                 Beer Store   \n",
       "4              Japanese Restaurant             Sandwich Place   \n",
       "9                   Lingerie Store  Middle Eastern Restaurant   \n",
       "15                  Cosmetics Shop                   Beer Bar   \n",
       "20                     Cheese Shop                       Café   \n",
       "24                  Ice Cream Shop            Thai Restaurant   \n",
       "25                      Restaurant                 Baby Store   \n",
       "30                          Bakery             Cosmetics Shop   \n",
       "31                             Bar       Gym / Fitness Center   \n",
       "36                      Restaurant             Scenic Lookout   \n",
       "37                     Men's Store           Greek Restaurant   \n",
       "41                     Pizza Place               Liquor Store   \n",
       "42             American Restaurant              Deli / Bodega   \n",
       "43              Italian Restaurant                 Restaurant   \n",
       "48                          Bakery         Italian Restaurant   \n",
       "54                     Yoga Studio             Clothing Store   \n",
       "69                       Bookstore                       Park   \n",
       "73                             Spa                 Restaurant   \n",
       "74                  History Museum  Middle Eastern Restaurant   \n",
       "75                   Movie Theater                 Restaurant   \n",
       "79                Sushi Restaurant                   Pharmacy   \n",
       "80                        Beer Bar                 Beer Store   \n",
       "81                     Yoga Studio                        Bar   \n",
       "84   Vegetarian / Vegan Restaurant             Farmers Market   \n",
       "86             Fried Chicken Joint                Supermarket   \n",
       "87                             Bar            Harbor / Marina   \n",
       "92                      Restaurant               Cocktail Bar   \n",
       "96                       Pet Store                   Pharmacy   \n",
       "97                      Steakhouse        Japanese Restaurant   \n",
       "99                            Café                        Gym   \n",
       "100                  Burrito Place                 Restaurant   \n",
       "\n",
       "     10th Most Common Venue  \n",
       "2                     Hotel  \n",
       "4                 Juice Bar  \n",
       "9              Burger Joint  \n",
       "15                    Diner  \n",
       "20         Greek Restaurant  \n",
       "24              Salad Place  \n",
       "25              Candy Store  \n",
       "30         Sushi Restaurant  \n",
       "31                     Park  \n",
       "36                      Bar  \n",
       "37                Juice Bar  \n",
       "41                Juice Bar  \n",
       "42                      Bar  \n",
       "43            Burrito Place  \n",
       "48            Deli / Bodega  \n",
       "54                Bookstore  \n",
       "69   Furniture / Home Store  \n",
       "73      Sporting Goods Shop  \n",
       "74              Pizza Place  \n",
       "75           Breakfast Spot  \n",
       "79                  Brewery  \n",
       "80           Sandwich Place  \n",
       "81       Falafel Restaurant  \n",
       "84            Grocery Store  \n",
       "86             Liquor Store  \n",
       "87         Sculpture Garden  \n",
       "92                 Creperie  \n",
       "96               Playground  \n",
       "97      American Restaurant  \n",
       "99                    Hotel  \n",
       "100                 Brewery  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 1\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>83</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Cupcake Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>91</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Cupcake Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "83   Central Toronto               1                  Park   \n",
       "91  Downtown Toronto               1                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "83            Playground          Cupcake Shop   Dumpling Restaurant   \n",
       "91            Playground                 Trail          Cupcake Shop   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "83            Donut Shop      Doner Restaurant               Dog Run   \n",
       "91   Dumpling Restaurant            Donut Shop      Doner Restaurant   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "83        Discount Store                 Diner     Dim Sum Restaurant  \n",
       "91               Dog Run        Discount Store                  Diner  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 2\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>62</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>2</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "62  Central Toronto               2                Garden   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue        4th Most Common Venue  \\\n",
       "62         Women's Store          Dance Studio  Eastern European Restaurant   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "62   Dumpling Restaurant            Donut Shop      Doner Restaurant   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "62               Dog Run        Discount Store                  Diner  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 3\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>61</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>3</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "61  Central Toronto               3                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "61           Swim School              Bus Line          Dance Studio   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "61   Dumpling Restaurant            Donut Shop      Doner Restaurant   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "61               Dog Run        Discount Store                  Diner  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 4\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 3, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Cupcake Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>67</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>68</td>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "19     East Toronto               4                  Park   \n",
       "47     East Toronto               4        Sandwich Place   \n",
       "67  Central Toronto               4                  Park   \n",
       "68  Central Toronto               4                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "19                 Trail     Health Food Store                   Pub   \n",
       "47     Food & Drink Shop    Light Rail Station               Brewery   \n",
       "67                   Gym        Breakfast Spot        Sandwich Place   \n",
       "68         Jewelry Store                 Trail      Sushi Restaurant   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "19          Cupcake Shop   Dumpling Restaurant            Donut Shop   \n",
       "47          Liquor Store          Burger Joint    Italian Restaurant   \n",
       "67     Food & Drink Shop      Department Store                 Hotel   \n",
       "68          Dance Studio   Dumpling Restaurant            Donut Shop   \n",
       "\n",
       "   8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "19      Doner Restaurant               Dog Run         Discount Store  \n",
       "47         Burrito Place                   Pub         Ice Cream Shop  \n",
       "67          Dance Studio            Donut Shop       Doner Restaurant  \n",
       "68      Doner Restaurant               Dog Run         Discount Store  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# cluster 5\n",
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 4, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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