PEER_Assignment_Clustering_Toronto.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1 , align='center'> Coursera | Capstone Course - PEER Review Assignment \n",
    "<h2, align='center'> Segmenting and Clustering Neighborhoods in Toronto \n",
    "<h3, align='center'> Alfredo Castañeda"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#load libraries\n",
    "import requests\n",
    "import urllib.request\n",
    "import time\n",
    "#from bs4 import BeautifulSoup\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "#from urllib.request import urlopen"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create variable url for file location then use pandas read_html with parameters set to read row 0 as header."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Download and Explore Datasets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": false
   },
   "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>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M2A</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>M5Z</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>M6Z</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>M7Z</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>M9Z</td>\n",
       "      <td>Not assigned</td>\n",
       "      <td>Not assigned</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>180 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postal Code           Borough  \\\n",
       "0           M1A      Not assigned   \n",
       "1           M2A      Not assigned   \n",
       "2           M3A        North York   \n",
       "3           M4A        North York   \n",
       "4           M5A  Downtown Toronto   \n",
       "..          ...               ...   \n",
       "175         M5Z      Not assigned   \n",
       "176         M6Z      Not assigned   \n",
       "177         M7Z      Not assigned   \n",
       "178         M8Z         Etobicoke   \n",
       "179         M9Z      Not assigned   \n",
       "\n",
       "                                         Neighbourhood  \n",
       "0                                         Not assigned  \n",
       "1                                         Not assigned  \n",
       "2                                            Parkwoods  \n",
       "3                                     Victoria Village  \n",
       "4                            Regent Park, Harbourfront  \n",
       "..                                                 ...  \n",
       "175                                       Not assigned  \n",
       "176                                       Not assigned  \n",
       "177                                       Not assigned  \n",
       "178  Mimico NW, The Queensway West, South of Bloor,...  \n",
       "179                                       Not assigned  \n",
       "\n",
       "[180 rows x 3 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url='https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M'\n",
    "\n",
    "df=pd.read_html(url, header=0)[0]\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check table download for number of rows and columns with .shape."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(180, 3)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create dataframe including rows where Borough is not equal to 'Not assigned'. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M8X</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M4Y</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M7Y</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business reply mail Processing Centre, South C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M8Y</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Old Mill South, King's Mill Park, Sunnylea, Hu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postal Code           Borough  \\\n",
       "0           M3A        North York   \n",
       "1           M4A        North York   \n",
       "2           M5A  Downtown Toronto   \n",
       "3           M6A        North York   \n",
       "4           M7A  Downtown Toronto   \n",
       "..          ...               ...   \n",
       "98          M8X         Etobicoke   \n",
       "99          M4Y  Downtown Toronto   \n",
       "100         M7Y      East Toronto   \n",
       "101         M8Y         Etobicoke   \n",
       "102         M8Z         Etobicoke   \n",
       "\n",
       "                                         Neighbourhood  \n",
       "0                                            Parkwoods  \n",
       "1                                     Victoria Village  \n",
       "2                            Regent Park, Harbourfront  \n",
       "3                     Lawrence Manor, Lawrence Heights  \n",
       "4          Queen's Park, Ontario Provincial Government  \n",
       "..                                                 ...  \n",
       "98       The Kingsway, Montgomery Road, Old Mill North  \n",
       "99                                Church and Wellesley  \n",
       "100  Business reply mail Processing Centre, South C...  \n",
       "101  Old Mill South, King's Mill Park, Sunnylea, Hu...  \n",
       "102  Mimico NW, The Queensway West, South of Bloor,...  \n",
       "\n",
       "[103 rows x 3 columns]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop a row by condition\n",
    "df1 = df[df.Borough != 'Not assigned'].reset_index(drop=True)\n",
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check new dataframe number of rows and columns wuth .shape. Difference should be 77 since that is number of Boroughs with Not assigned."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103, 3)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Read csv file with Latitude and Longitude for each Postal Code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M9N</td>\n",
       "      <td>43.706876</td>\n",
       "      <td>-79.518188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M9P</td>\n",
       "      <td>43.696319</td>\n",
       "      <td>-79.532242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M9R</td>\n",
       "      <td>43.688905</td>\n",
       "      <td>-79.554724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M9V</td>\n",
       "      <td>43.739416</td>\n",
       "      <td>-79.588437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M9W</td>\n",
       "      <td>43.706748</td>\n",
       "      <td>-79.594054</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 3 columns</p>\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\n",
       "..          ...        ...        ...\n",
       "98          M9N  43.706876 -79.518188\n",
       "99          M9P  43.696319 -79.532242\n",
       "100         M9R  43.688905 -79.554724\n",
       "101         M9V  43.739416 -79.588437\n",
       "102         M9W  43.706748 -79.594054\n",
       "\n",
       "[103 rows x 3 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url2 = 'https://cocl.us/Geospatial_data'\n",
    "\n",
    "df2 = pd.read_csv(url2)\n",
    "df2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the Pandas merge to perform an inner join between both data frames on column Postal Code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Postal Code</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighbourhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M3A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M4A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M5A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M6A</td>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "      <td>43.718518</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M7A</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>M8X</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n",
       "      <td>43.653654</td>\n",
       "      <td>-79.506944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>M4Y</td>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>43.665860</td>\n",
       "      <td>-79.383160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>M7Y</td>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business reply mail Processing Centre, South C...</td>\n",
       "      <td>43.662744</td>\n",
       "      <td>-79.321558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>M8Y</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Old Mill South, King's Mill Park, Sunnylea, Hu...</td>\n",
       "      <td>43.636258</td>\n",
       "      <td>-79.498509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>M8Z</td>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n",
       "      <td>43.628841</td>\n",
       "      <td>-79.520999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Postal Code           Borough  \\\n",
       "0           M3A        North York   \n",
       "1           M4A        North York   \n",
       "2           M5A  Downtown Toronto   \n",
       "3           M6A        North York   \n",
       "4           M7A  Downtown Toronto   \n",
       "..          ...               ...   \n",
       "98          M8X         Etobicoke   \n",
       "99          M4Y  Downtown Toronto   \n",
       "100         M7Y      East Toronto   \n",
       "101         M8Y         Etobicoke   \n",
       "102         M8Z         Etobicoke   \n",
       "\n",
       "                                         Neighbourhood   Latitude  Longitude  \n",
       "0                                            Parkwoods  43.753259 -79.329656  \n",
       "1                                     Victoria Village  43.725882 -79.315572  \n",
       "2                            Regent Park, Harbourfront  43.654260 -79.360636  \n",
       "3                     Lawrence Manor, Lawrence Heights  43.718518 -79.464763  \n",
       "4          Queen's Park, Ontario Provincial Government  43.662301 -79.389494  \n",
       "..                                                 ...        ...        ...  \n",
       "98       The Kingsway, Montgomery Road, Old Mill North  43.653654 -79.506944  \n",
       "99                                Church and Wellesley  43.665860 -79.383160  \n",
       "100  Business reply mail Processing Centre, South C...  43.662744 -79.321558  \n",
       "101  Old Mill South, King's Mill Park, Sunnylea, Hu...  43.636258 -79.498509  \n",
       "102  Mimico NW, The Queensway West, South of Bloor,...  43.628841 -79.520999  \n",
       "\n",
       "[103 rows x 5 columns]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#inner Join in Python Pandas both dataframes df1 and df2\n",
    "\n",
    "toronto_df = pd.merge(df1, df2, on='Postal Code', how='inner')\n",
    "toronto_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_df.rename(columns = {'Postal Code': 'PostalCode', 'Borough':'Borough','Neighbourhood':'Neighborhoods', 'Latitude':'Latitude', 'Longitude': 'Longitude'}, inplace = True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>Neighborhoods</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>North York</td>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>43.753259</td>\n",
       "      <td>-79.329656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>North York</td>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>43.725882</td>\n",
       "      <td>-79.315572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>North York</td>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "      <td>43.718518</td>\n",
       "      <td>-79.464763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n",
       "      <td>43.653654</td>\n",
       "      <td>-79.506944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>43.665860</td>\n",
       "      <td>-79.383160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>Business reply mail Processing Centre, South C...</td>\n",
       "      <td>43.662744</td>\n",
       "      <td>-79.321558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Old Mill South, King's Mill Park, Sunnylea, Hu...</td>\n",
       "      <td>43.636258</td>\n",
       "      <td>-79.498509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n",
       "      <td>43.628841</td>\n",
       "      <td>-79.520999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>103 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Borough                                      Neighborhoods  \\\n",
       "0          North York                                          Parkwoods   \n",
       "1          North York                                   Victoria Village   \n",
       "2    Downtown Toronto                          Regent Park, Harbourfront   \n",
       "3          North York                   Lawrence Manor, Lawrence Heights   \n",
       "4    Downtown Toronto        Queen's Park, Ontario Provincial Government   \n",
       "..                ...                                                ...   \n",
       "98          Etobicoke      The Kingsway, Montgomery Road, Old Mill North   \n",
       "99   Downtown Toronto                               Church and Wellesley   \n",
       "100      East Toronto  Business reply mail Processing Centre, South C...   \n",
       "101         Etobicoke  Old Mill South, King's Mill Park, Sunnylea, Hu...   \n",
       "102         Etobicoke  Mimico NW, The Queensway West, South of Bloor,...   \n",
       "\n",
       "      Latitude  Longitude  \n",
       "0    43.753259 -79.329656  \n",
       "1    43.725882 -79.315572  \n",
       "2    43.654260 -79.360636  \n",
       "3    43.718518 -79.464763  \n",
       "4    43.662301 -79.389494  \n",
       "..         ...        ...  \n",
       "98   43.653654 -79.506944  \n",
       "99   43.665860 -79.383160  \n",
       "100  43.662744 -79.321558  \n",
       "101  43.636258 -79.498509  \n",
       "102  43.628841 -79.520999  \n",
       "\n",
       "[103 rows x 4 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# clean up data frame remove Postal Codes\n",
    "toronto_df = toronto_df.filter(['Borough','Neighborhoods', 'Latitude', 'Longitude'], axis =1)\n",
    "toronto_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The dataframe has 10 boroughs and 103 neighborhoods.\n"
     ]
    }
   ],
   "source": [
    "print('The dataframe has {} boroughs and {} neighborhoods.'.format(\n",
    "        len(toronto_df['Borough'].unique()),\n",
    "        toronto_df.shape[0]\n",
    "    )\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Install Libraries for maps and folium."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: geopy in c:\\users\\casal\\anaconda3\\lib\\site-packages (2.0.0)\n",
      "Requirement already satisfied: geographiclib<2,>=1.49 in c:\\users\\casal\\anaconda3\\lib\\site-packages (from geopy) (1.50)\n",
      "Requirement already satisfied: folium in c:\\users\\casal\\anaconda3\\lib\\site-packages (0.11.0)\n",
      "Requirement already satisfied: jinja2>=2.9 in c:\\users\\casal\\anaconda3\\lib\\site-packages (from folium) (2.11.2)\n",
      "Requirement already satisfied: branca>=0.3.0 in c:\\users\\casal\\anaconda3\\lib\\site-packages (from folium) (0.4.1)\n",
      "Requirement already satisfied: requests in c:\\users\\casal\\anaconda3\\lib\\site-packages (from folium) (2.24.0)\n",
      "Requirement already satisfied: numpy in c:\\users\\casal\\anaconda3\\lib\\site-packages (from folium) (1.18.5)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in c:\\users\\casal\\anaconda3\\lib\\site-packages (from jinja2>=2.9->folium) (1.1.1)\n",
      "Requirement already satisfied: idna<3,>=2.5 in c:\\users\\casal\\anaconda3\\lib\\site-packages (from requests->folium) (2.10)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in c:\\users\\casal\\anaconda3\\lib\\site-packages (from requests->folium) (1.25.9)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\casal\\anaconda3\\lib\\site-packages (from requests->folium) (2020.6.20)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in c:\\users\\casal\\anaconda3\\lib\\site-packages (from requests->folium) (3.0.4)\n"
     ]
    }
   ],
   "source": [
    "!pip install geopy\n",
    "!pip install folium "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "#!conda install -c conda-forge geopy --yes # uncomment this line if you haven't completed the Foursquare API lab\n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "\n",
    "import requests # library to handle requests\n",
    "from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\n",
    "\n",
    "# Matplotlib and associated plotting modules\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "# import k-means from clustering stage\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "#!conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if you haven't completed the Foursquare API lab\n",
    "import folium # map rendering library\n",
    "\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto are 43.6534817, -79.3839347.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto, Ontario'\n",
    "geolocator = Nominatim(user_agent=\"toronto_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
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        var popup_ddde044aeb41451ea6ba852ce5df0356 = L.popup({"maxWidth": "100%"});

        
            var html_c157424d233a4cbcb6081c5612dad2c6 = $(`<div id="html_c157424d233a4cbcb6081c5612dad2c6" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre, South Central Letter Processing Plant Toronto, East Toronto</div>`)[0];
            popup_ddde044aeb41451ea6ba852ce5df0356.setContent(html_c157424d233a4cbcb6081c5612dad2c6);
        

        circle_marker_a43f440b5f05413d82b6090cfbae4e18.bindPopup(popup_ddde044aeb41451ea6ba852ce5df0356)
        ;

        
    
    
            var circle_marker_a70056d6801d4c7da55b3c9221cc81f5 = L.circleMarker(
                [43.6362579, -79.49850909999999],
                {"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_a9492617335448ce8913ca826e3f10d7);
        
    
        var popup_6114c18ee01842a7a2531ec73b023f31 = L.popup({"maxWidth": "100%"});

        
            var html_a0f86e2abca04ab28d21cc56ee34f821 = $(`<div id="html_a0f86e2abca04ab28d21cc56ee34f821" style="width: 100.0%; height: 100.0%;">Old Mill South, King&#39;s Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East, Etobicoke</div>`)[0];
            popup_6114c18ee01842a7a2531ec73b023f31.setContent(html_a0f86e2abca04ab28d21cc56ee34f821);
        

        circle_marker_a70056d6801d4c7da55b3c9221cc81f5.bindPopup(popup_6114c18ee01842a7a2531ec73b023f31)
        ;

        
    
    
            var circle_marker_0729d8b3344c42558494ef8b3f15fcac = L.circleMarker(
                [43.6288408, -79.52099940000001],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_a9492617335448ce8913ca826e3f10d7);
        
    
        var popup_e52855b8910f45beb235085ce44be2c6 = L.popup({"maxWidth": "100%"});

        
            var html_5246862cf5b84145b68f3703f7446f13 = $(`<div id="html_5246862cf5b84145b68f3703f7446f13" style="width: 100.0%; height: 100.0%;">Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West, Etobicoke</div>`)[0];
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        circle_marker_0729d8b3344c42558494ef8b3f15fcac.bindPopup(popup_e52855b8910f45beb235085ce44be2c6)
        ;

        
    
</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 0x1ed129b50d0>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Tornto using latitude and longitude values\n",
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhoods in zip(toronto_df['Latitude'], toronto_df['Longitude'], toronto_df['Borough'], toronto_df['Neighborhoods']):\n",
    "    label = '{}, {}'.format(neighborhoods, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_toronto)  \n",
    "    \n",
    "map_toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Check data types."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Borough           object\n",
       "Neighborhoods     object\n",
       "Latitude         float64\n",
       "Longitude        float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_df.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Group Neighborhoods by Boroughs with Toronto in name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>Neighborhoods</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>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": [
       "            Borough                                Neighborhoods   Latitude  \\\n",
       "0  Downtown Toronto                    Regent Park, Harbourfront  43.654260   \n",
       "1  Downtown Toronto  Queen's Park, Ontario Provincial Government  43.662301   \n",
       "2  Downtown Toronto                     Garden District, Ryerson  43.657162   \n",
       "3  Downtown Toronto                               St. James Town  43.651494   \n",
       "4      East Toronto                                  The Beaches  43.676357   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.360636  \n",
       "1 -79.389494  \n",
       "2 -79.378937  \n",
       "3 -79.375418  \n",
       "4 -79.293031  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boroughs_df = toronto_df[toronto_df['Borough'].str.contains('.*Toronto')].reset_index(drop=True)\n",
    "boroughs_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get the geographical coordinates of Downtown Toronto."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Downtown Toronto are 43.6563221, -79.3809161.\n"
     ]
    }
   ],
   "source": [
    "address = 'Downtown, Toronto'\n",
    "geolocator = Nominatim(user_agent=\"toronto_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Downtown Toronto are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create a map of Downtown Toronto with neighborhoods superimposed on top."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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                    position: relative;
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<body>    
    
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</body>
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                "map_15f6f2d8eca546c0804cd6c7994ce47d",
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        ;

        
    
    
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            ).addTo(map_15f6f2d8eca546c0804cd6c7994ce47d);
        
    
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        ;

        
    
    
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        ;

        
    
    
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                [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}
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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 0x1ed12ad4f70>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Downtown Toronto using latitude and longitude values\n",
    "Downtown_Toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhoods in zip(boroughs_df['Latitude'], boroughs_df['Longitude'], boroughs_df['Borough'], boroughs_df['Neighborhoods']):\n",
    "    label = '{}, {}'.format(neighborhoods, 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(Downtown_Toronto)  \n",
    "    \n",
    "Downtown_Toronto "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we are going to start utilizing the Foursquare API to explore the neighborhoods and segment them.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define Foursquare Credentials and Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: IPFRUVJCMSTX32SXCFKSBRMSJ2GOVQBN33XLODLOWLLZ00WS\n",
      "CLIENT_SECRET:0GYVAYE1XO2YHZBDUQFM5TZBX5BGSIHCFF4HPVDJJ32UXYAW\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'IPFRUVJCMSTX32SXCFKSBRMSJ2GOVQBN33XLODLOWLLZ00WS' # your Foursquare ID\n",
    "CLIENT_SECRET = '0GYVAYE1XO2YHZBDUQFM5TZBX5BGSIHCFF4HPVDJJ32UXYAW' # your Foursquare Secret\n",
    "VERSION = '20201111' # Foursquare API version\n",
    "LIMIT = 100 # A default Foursquare API limit value\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's explore the first neighborhood in our dataframe."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The neighborhood's name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Regent Park, Harbourfront'"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boroughs_df.loc[0, 'Neighborhoods']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The neighborhood's latitude and longitude values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Regent Park, Harbourfront are 43.6542599, -79.3606359.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude =boroughs_df.loc[0, 'Latitude'] # neighborhoods latitude value\n",
    "neighborhood_longitude = boroughs_df.loc[0, 'Longitude'] # neighborhoods longitude value\n",
    "neighborhood_name = boroughs_df.loc[0, 'Neighborhoods'] # neighborhoods name\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now, let's get the top 100 venues that are in Regent Park, Harbourfront within a radius of 500 meters."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create the GET request URL. Name your URL **url2**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?&client_id=IPFRUVJCMSTX32SXCFKSBRMSJ2GOVQBN33XLODLOWLLZ00WS&client_secret=0GYVAYE1XO2YHZBDUQFM5TZBX5BGSIHCFF4HPVDJJ32UXYAW&v=20201111&ll=43.6542599,-79.3606359&radius=500&limit=100'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# type your answer here\n",
    "LIMIT = 100 # limit of number of venues returned by Foursquare API\n",
    "radius = 500 # define radius\n",
    "\n",
    "# create URL\n",
    "url2 = '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",
    "url2 # display URL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Send the GET request and examine the results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5fb180d7d64a7347256f8afd'},\n",
       " 'response': {'suggestedFilters': {'header': 'Tap to show:',\n",
       "   'filters': [{'name': 'Open now', 'key': 'openNow'}]},\n",
       "  'headerLocation': 'Corktown',\n",
       "  'headerFullLocation': 'Corktown, Toronto',\n",
       "  'headerLocationGranularity': 'neighborhood',\n",
       "  'totalResults': 44,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.6587599045, 'lng': -79.3544279001486},\n",
       "   'sw': {'lat': 43.6497598955, 'lng': -79.36684389985142}},\n",
       "  'groups': [{'type': 'Recommended Places',\n",
       "    'name': 'recommended',\n",
       "    'items': [{'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '54ea41ad498e9a11e9e13308',\n",
       "       'name': 'Roselle Desserts',\n",
       "       'location': {'address': '362 King St E',\n",
       "        'crossStreet': 'Trinity St',\n",
       "        'lat': 43.653446723052674,\n",
       "        'lng': -79.3620167174383,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.653446723052674,\n",
       "          'lng': -79.3620167174383}],\n",
       "        'distance': 143,\n",
       "        'postalCode': 'M5A 1K9',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
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       "         'pluralName': 'Coffee Shops',\n",
       "         'shortName': 'Coffee Shop',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-57dd8bcd498e8eec19b9c896-42'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '579cc5f2498e0fe8397deebb',\n",
       "       'name': 'GW General',\n",
       "       'location': {'lat': 43.650495,\n",
       "        'lng': -79.357538,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.650495,\n",
       "          'lng': -79.357538}],\n",
       "        'distance': 487,\n",
       "        'cc': 'CA',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d116951735',\n",
       "         'name': 'Antique Shop',\n",
       "         'pluralName': 'Antique Shops',\n",
       "         'shortName': 'Antiques',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/antique_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-579cc5f2498e0fe8397deebb-43'}]}]}}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url2).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use of the **get_category_type** function from the Foursquare lab."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that extracts the category of the venue\n",
    "def get_category_type(row):\n",
    "    try:\n",
    "        categories_list = row['categories']\n",
    "    except:\n",
    "        categories_list = row['venue.categories']\n",
    "        \n",
    "    if len(categories_list) == 0:\n",
    "        return None\n",
    "    else:\n",
    "        return categories_list[0]['name']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we clean the json and structure it into a _pandas_ dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-27-a747a20969f3>:2: FutureWarning: pandas.io.json.json_normalize is deprecated, use pandas.json_normalize instead\n",
      "  nearby_venues = json_normalize(venues) # flatten JSON\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>categories</th>\n",
       "      <th>lat</th>\n",
       "      <th>lng</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Roselle Desserts</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>43.653447</td>\n",
       "      <td>-79.362017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Tandem Coffee</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>43.653559</td>\n",
       "      <td>-79.361809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Cooper Koo Family YMCA</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>43.653249</td>\n",
       "      <td>-79.358008</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Body Blitz Spa East</td>\n",
       "      <td>Spa</td>\n",
       "      <td>43.654735</td>\n",
       "      <td>-79.359874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Impact Kitchen</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>43.656369</td>\n",
       "      <td>-79.356980</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     name           categories        lat        lng\n",
       "0        Roselle Desserts               Bakery  43.653447 -79.362017\n",
       "1           Tandem Coffee          Coffee Shop  43.653559 -79.361809\n",
       "2  Cooper Koo Family YMCA  Distribution Center  43.653249 -79.358008\n",
       "3     Body Blitz Spa East                  Spa  43.654735 -79.359874\n",
       "4          Impact Kitchen           Restaurant  43.656369 -79.356980"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues = results['response']['groups'][0]['items']\n",
    "nearby_venues = json_normalize(venues) # flatten JSON\n",
    "\n",
    "# filter columns\n",
    "filtered_columns = ['venue.name', 'venue.categories', 'venue.location.lat', 'venue.location.lng']\n",
    "nearby_venues =nearby_venues.loc[:, filtered_columns]\n",
    "\n",
    "# filter the category for each row\n",
    "nearby_venues['venue.categories'] = nearby_venues.apply(get_category_type, axis=1)\n",
    "\n",
    "# clean columns\n",
    "nearby_venues.columns = [col.split(\".\")[-1] for col in nearby_venues.columns]\n",
    "\n",
    "nearby_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Number of venues that were returned by Foursquare?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "44 venues were returned by Foursquare.\n"
     ]
    }
   ],
   "source": [
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Explore Neighborhoods in Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Create a function to repeat the same process to all the neighborhoods in Toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhoods', \n",
    "                  'Neighborhoods Latitude', \n",
    "                  'Neighborhoods Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### This is the code to run the above function on each neighborhood and create a new dataframe called _toronto_venues_."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Regent Park, Harbourfront\n",
      "Queen's Park, Ontario Provincial Government\n",
      "Garden District, Ryerson\n",
      "St. James Town\n",
      "The Beaches\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Christie\n",
      "Richmond, Adelaide, King\n",
      "Dufferin, Dovercourt Village\n",
      "Harbourfront East, Union Station, Toronto Islands\n",
      "Little Portugal, Trinity\n",
      "The Danforth West, Riverdale\n",
      "Toronto Dominion Centre, Design Exchange\n",
      "Brockton, Parkdale Village, Exhibition Place\n",
      "India Bazaar, The Beaches West\n",
      "Commerce Court, Victoria Hotel\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Roselawn\n",
      "Davisville North\n",
      "Forest Hill North & West, Forest Hill Road Park\n",
      "High Park, The Junction South\n",
      "North Toronto West, Lawrence Park\n",
      "The Annex, North Midtown, Yorkville\n",
      "Parkdale, Roncesvalles\n",
      "Davisville\n",
      "University of Toronto, Harbord\n",
      "Runnymede, Swansea\n",
      "Moore Park, Summerhill East\n",
      "Kensington Market, Chinatown, Grange Park\n",
      "Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\n",
      "CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\n",
      "Rosedale\n",
      "Stn A PO Boxes\n",
      "St. James Town, Cabbagetown\n",
      "First Canadian Place, Underground city\n",
      "Church and Wellesley\n",
      "Business reply mail Processing Centre, South Central Letter Processing Plant Toronto\n"
     ]
    }
   ],
   "source": [
    "# type your answer here\n",
    "\n",
    "toronto_venues = getNearbyVenues(names=boroughs_df['Neighborhoods'],\n",
    "                                   latitudes=boroughs_df['Latitude'],\n",
    "                                   longitudes=boroughs_df['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The size of the resulting dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1624, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhoods</th>\n",
       "      <th>Neighborhoods Latitude</th>\n",
       "      <th>Neighborhoods Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Roselle Desserts</td>\n",
       "      <td>43.653447</td>\n",
       "      <td>-79.362017</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Tandem Coffee</td>\n",
       "      <td>43.653559</td>\n",
       "      <td>-79.361809</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Cooper Koo Family YMCA</td>\n",
       "      <td>43.653249</td>\n",
       "      <td>-79.358008</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Body Blitz Spa East</td>\n",
       "      <td>43.654735</td>\n",
       "      <td>-79.359874</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.65426</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>Impact Kitchen</td>\n",
       "      <td>43.656369</td>\n",
       "      <td>-79.356980</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Neighborhoods  Neighborhoods Latitude  Neighborhoods Longitude  \\\n",
       "0  Regent Park, Harbourfront                43.65426               -79.360636   \n",
       "1  Regent Park, Harbourfront                43.65426               -79.360636   \n",
       "2  Regent Park, Harbourfront                43.65426               -79.360636   \n",
       "3  Regent Park, Harbourfront                43.65426               -79.360636   \n",
       "4  Regent Park, Harbourfront                43.65426               -79.360636   \n",
       "\n",
       "                    Venue  Venue Latitude  Venue Longitude  \\\n",
       "0        Roselle Desserts       43.653447       -79.362017   \n",
       "1           Tandem Coffee       43.653559       -79.361809   \n",
       "2  Cooper Koo Family YMCA       43.653249       -79.358008   \n",
       "3     Body Blitz Spa East       43.654735       -79.359874   \n",
       "4          Impact Kitchen       43.656369       -79.356980   \n",
       "\n",
       "        Venue Category  \n",
       "0               Bakery  \n",
       "1          Coffee Shop  \n",
       "2  Distribution Center  \n",
       "3                  Spa  \n",
       "4           Restaurant  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(toronto_venues.shape)\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhoods Latitude</th>\n",
       "      <th>Neighborhoods 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>Neighborhoods</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Berczy Park</th>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brockton, Parkdale Village, Exhibition Place</th>\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",
       "      <th>Business reply mail Processing Centre, South Central Letter Processing Plant Toronto</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central Bay Street</th>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Christie</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Church and Wellesley</th>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Commerce Court, Victoria Hotel</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Davisville North</th>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dufferin, Dovercourt Village</th>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>First Canadian Place, Underground city</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forest Hill North &amp; West, Forest Hill Road Park</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Garden District, Ryerson</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Harbourfront East, Union Station, Toronto Islands</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>High Park, The Junction South</th>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>India Bazaar, The Beaches West</th>\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",
       "      <th>Kensington Market, Chinatown, Grange Park</th>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lawrence Park</th>\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",
       "      <th>Little Portugal, Trinity</th>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Moore Park, Summerhill East</th>\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",
       "      <th>North Toronto West, Lawrence Park</th>\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",
       "      <th>Parkdale, Roncesvalles</th>\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",
       "      <th>Queen's Park, Ontario Provincial Government</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Regent Park, Harbourfront</th>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Richmond, Adelaide, King</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rosedale</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roselawn</th>\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",
       "      <th>Runnymede, Swansea</th>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. James Town</th>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>St. James Town, Cabbagetown</th>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Stn A PO Boxes</th>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Studio District</th>\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",
       "      <th>Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park</th>\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",
       "      <th>The Annex, North Midtown, Yorkville</th>\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",
       "      <th>The Beaches</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Danforth West, Riverdale</th>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Toronto Dominion Centre, Design Exchange</th>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>University of Toronto, Harbord</th>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    Neighborhoods Latitude  \\\n",
       "Neighborhoods                                                                \n",
       "Berczy Park                                                             55   \n",
       "Brockton, Parkdale Village, Exhibition Place                            23   \n",
       "Business reply mail Processing Centre, South Ce...                      16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...                      16   \n",
       "Central Bay Street                                                      68   \n",
       "Christie                                                                16   \n",
       "Church and Wellesley                                                    75   \n",
       "Commerce Court, Victoria Hotel                                         100   \n",
       "Davisville                                                              33   \n",
       "Davisville North                                                         9   \n",
       "Dufferin, Dovercourt Village                                            13   \n",
       "First Canadian Place, Underground city                                 100   \n",
       "Forest Hill North & West, Forest Hill Road Park                          4   \n",
       "Garden District, Ryerson                                               100   \n",
       "Harbourfront East, Union Station, Toronto Islands                      100   \n",
       "High Park, The Junction South                                           25   \n",
       "India Bazaar, The Beaches West                                          19   \n",
       "Kensington Market, Chinatown, Grange Park                               74   \n",
       "Lawrence Park                                                            3   \n",
       "Little Portugal, Trinity                                                45   \n",
       "Moore Park, Summerhill East                                              2   \n",
       "North Toronto West, Lawrence Park                                       18   \n",
       "Parkdale, Roncesvalles                                                  14   \n",
       "Queen's Park, Ontario Provincial Government                             33   \n",
       "Regent Park, Harbourfront                                               44   \n",
       "Richmond, Adelaide, King                                               100   \n",
       "Rosedale                                                                 4   \n",
       "Roselawn                                                                 2   \n",
       "Runnymede, Swansea                                                      33   \n",
       "St. James Town                                                          85   \n",
       "St. James Town, Cabbagetown                                             48   \n",
       "Stn A PO Boxes                                                          96   \n",
       "Studio District                                                         37   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...                      14   \n",
       "The Annex, North Midtown, Yorkville                                     19   \n",
       "The Beaches                                                              4   \n",
       "The Danforth West, Riverdale                                            43   \n",
       "Toronto Dominion Centre, Design Exchange                               100   \n",
       "University of Toronto, Harbord                                          34   \n",
       "\n",
       "                                                    Neighborhoods Longitude  \\\n",
       "Neighborhoods                                                                 \n",
       "Berczy Park                                                              55   \n",
       "Brockton, Parkdale Village, Exhibition Place                             23   \n",
       "Business reply mail Processing Centre, South Ce...                       16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...                       16   \n",
       "Central Bay Street                                                       68   \n",
       "Christie                                                                 16   \n",
       "Church and Wellesley                                                     75   \n",
       "Commerce Court, Victoria Hotel                                          100   \n",
       "Davisville                                                               33   \n",
       "Davisville North                                                          9   \n",
       "Dufferin, Dovercourt Village                                             13   \n",
       "First Canadian Place, Underground city                                  100   \n",
       "Forest Hill North & West, Forest Hill Road Park                           4   \n",
       "Garden District, Ryerson                                                100   \n",
       "Harbourfront East, Union Station, Toronto Islands                       100   \n",
       "High Park, The Junction South                                            25   \n",
       "India Bazaar, The Beaches West                                           19   \n",
       "Kensington Market, Chinatown, Grange Park                                74   \n",
       "Lawrence Park                                                             3   \n",
       "Little Portugal, Trinity                                                 45   \n",
       "Moore Park, Summerhill East                                               2   \n",
       "North Toronto West, Lawrence Park                                        18   \n",
       "Parkdale, Roncesvalles                                                   14   \n",
       "Queen's Park, Ontario Provincial Government                              33   \n",
       "Regent Park, Harbourfront                                                44   \n",
       "Richmond, Adelaide, King                                                100   \n",
       "Rosedale                                                                  4   \n",
       "Roselawn                                                                  2   \n",
       "Runnymede, Swansea                                                       33   \n",
       "St. James Town                                                           85   \n",
       "St. James Town, Cabbagetown                                              48   \n",
       "Stn A PO Boxes                                                           96   \n",
       "Studio District                                                          37   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...                       14   \n",
       "The Annex, North Midtown, Yorkville                                      19   \n",
       "The Beaches                                                               4   \n",
       "The Danforth West, Riverdale                                             43   \n",
       "Toronto Dominion Centre, Design Exchange                                100   \n",
       "University of Toronto, Harbord                                           34   \n",
       "\n",
       "                                                    Venue  Venue Latitude  \\\n",
       "Neighborhoods                                                               \n",
       "Berczy Park                                            55              55   \n",
       "Brockton, Parkdale Village, Exhibition Place           23              23   \n",
       "Business reply mail Processing Centre, South Ce...     16              16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...     16              16   \n",
       "Central Bay Street                                     68              68   \n",
       "Christie                                               16              16   \n",
       "Church and Wellesley                                   75              75   \n",
       "Commerce Court, Victoria Hotel                        100             100   \n",
       "Davisville                                             33              33   \n",
       "Davisville North                                        9               9   \n",
       "Dufferin, Dovercourt Village                           13              13   \n",
       "First Canadian Place, Underground city                100             100   \n",
       "Forest Hill North & West, Forest Hill Road Park         4               4   \n",
       "Garden District, Ryerson                              100             100   \n",
       "Harbourfront East, Union Station, Toronto Islands     100             100   \n",
       "High Park, The Junction South                          25              25   \n",
       "India Bazaar, The Beaches West                         19              19   \n",
       "Kensington Market, Chinatown, Grange Park              74              74   \n",
       "Lawrence Park                                           3               3   \n",
       "Little Portugal, Trinity                               45              45   \n",
       "Moore Park, Summerhill East                             2               2   \n",
       "North Toronto West, Lawrence Park                      18              18   \n",
       "Parkdale, Roncesvalles                                 14              14   \n",
       "Queen's Park, Ontario Provincial Government            33              33   \n",
       "Regent Park, Harbourfront                              44              44   \n",
       "Richmond, Adelaide, King                              100             100   \n",
       "Rosedale                                                4               4   \n",
       "Roselawn                                                2               2   \n",
       "Runnymede, Swansea                                     33              33   \n",
       "St. James Town                                         85              85   \n",
       "St. James Town, Cabbagetown                            48              48   \n",
       "Stn A PO Boxes                                         96              96   \n",
       "Studio District                                        37              37   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...     14              14   \n",
       "The Annex, North Midtown, Yorkville                    19              19   \n",
       "The Beaches                                             4               4   \n",
       "The Danforth West, Riverdale                           43              43   \n",
       "Toronto Dominion Centre, Design Exchange              100             100   \n",
       "University of Toronto, Harbord                         34              34   \n",
       "\n",
       "                                                    Venue Longitude  \\\n",
       "Neighborhoods                                                         \n",
       "Berczy Park                                                      55   \n",
       "Brockton, Parkdale Village, Exhibition Place                     23   \n",
       "Business reply mail Processing Centre, South Ce...               16   \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...               16   \n",
       "Central Bay Street                                               68   \n",
       "Christie                                                         16   \n",
       "Church and Wellesley                                             75   \n",
       "Commerce Court, Victoria Hotel                                  100   \n",
       "Davisville                                                       33   \n",
       "Davisville North                                                  9   \n",
       "Dufferin, Dovercourt Village                                     13   \n",
       "First Canadian Place, Underground city                          100   \n",
       "Forest Hill North & West, Forest Hill Road Park                   4   \n",
       "Garden District, Ryerson                                        100   \n",
       "Harbourfront East, Union Station, Toronto Islands               100   \n",
       "High Park, The Junction South                                    25   \n",
       "India Bazaar, The Beaches West                                   19   \n",
       "Kensington Market, Chinatown, Grange Park                        74   \n",
       "Lawrence Park                                                     3   \n",
       "Little Portugal, Trinity                                         45   \n",
       "Moore Park, Summerhill East                                       2   \n",
       "North Toronto West, Lawrence Park                                18   \n",
       "Parkdale, Roncesvalles                                           14   \n",
       "Queen's Park, Ontario Provincial Government                      33   \n",
       "Regent Park, Harbourfront                                        44   \n",
       "Richmond, Adelaide, King                                        100   \n",
       "Rosedale                                                          4   \n",
       "Roselawn                                                          2   \n",
       "Runnymede, Swansea                                               33   \n",
       "St. James Town                                                   85   \n",
       "St. James Town, Cabbagetown                                      48   \n",
       "Stn A PO Boxes                                                   96   \n",
       "Studio District                                                  37   \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...               14   \n",
       "The Annex, North Midtown, Yorkville                              19   \n",
       "The Beaches                                                       4   \n",
       "The Danforth West, Riverdale                                     43   \n",
       "Toronto Dominion Centre, Design Exchange                        100   \n",
       "University of Toronto, Harbord                                   34   \n",
       "\n",
       "                                                    Venue Category  \n",
       "Neighborhoods                                                       \n",
       "Berczy Park                                                     55  \n",
       "Brockton, Parkdale Village, Exhibition Place                    23  \n",
       "Business reply mail Processing Centre, South Ce...              16  \n",
       "CN Tower, King and Spadina, Railway Lands, Harb...              16  \n",
       "Central Bay Street                                              68  \n",
       "Christie                                                        16  \n",
       "Church and Wellesley                                            75  \n",
       "Commerce Court, Victoria Hotel                                 100  \n",
       "Davisville                                                      33  \n",
       "Davisville North                                                 9  \n",
       "Dufferin, Dovercourt Village                                    13  \n",
       "First Canadian Place, Underground city                         100  \n",
       "Forest Hill North & West, Forest Hill Road Park                  4  \n",
       "Garden District, Ryerson                                       100  \n",
       "Harbourfront East, Union Station, Toronto Islands              100  \n",
       "High Park, The Junction South                                   25  \n",
       "India Bazaar, The Beaches West                                  19  \n",
       "Kensington Market, Chinatown, Grange Park                       74  \n",
       "Lawrence Park                                                    3  \n",
       "Little Portugal, Trinity                                        45  \n",
       "Moore Park, Summerhill East                                      2  \n",
       "North Toronto West, Lawrence Park                               18  \n",
       "Parkdale, Roncesvalles                                          14  \n",
       "Queen's Park, Ontario Provincial Government                     33  \n",
       "Regent Park, Harbourfront                                       44  \n",
       "Richmond, Adelaide, King                                       100  \n",
       "Rosedale                                                         4  \n",
       "Roselawn                                                         2  \n",
       "Runnymede, Swansea                                              33  \n",
       "St. James Town                                                  85  \n",
       "St. James Town, Cabbagetown                                     48  \n",
       "Stn A PO Boxes                                                  96  \n",
       "Studio District                                                 37  \n",
       "Summerhill West, Rathnelly, South Hill, Forest ...              14  \n",
       "The Annex, North Midtown, Yorkville                             19  \n",
       "The Beaches                                                      4  \n",
       "The Danforth West, Riverdale                                    43  \n",
       "Toronto Dominion Centre, Design Exchange                       100  \n",
       "University of Toronto, Harbord                                  34  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues.groupby('Neighborhoods').count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### How many unique categories can be curated from all the returned venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 237 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Analyze Each Neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "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>Neighborhoods</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>...</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 238 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Neighborhoods  Afghan Restaurant  Airport  Airport Food Court  \\\n",
       "0  Regent Park, Harbourfront                  0        0                   0   \n",
       "1  Regent Park, Harbourfront                  0        0                   0   \n",
       "2  Regent Park, Harbourfront                  0        0                   0   \n",
       "3  Regent Park, Harbourfront                  0        0                   0   \n",
       "4  Regent Park, Harbourfront                  0        0                   0   \n",
       "\n",
       "   Airport Gate  Airport Lounge  Airport Service  Airport Terminal  \\\n",
       "0             0               0                0                 0   \n",
       "1             0               0                0                 0   \n",
       "2             0               0                0                 0   \n",
       "3             0               0                0                 0   \n",
       "4             0               0                0                 0   \n",
       "\n",
       "   American Restaurant  Antique Shop  ...  Theme Restaurant  Toy / Game 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",
       "   Trail  Train Station  Vegetarian / Vegan Restaurant  Video Game 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",
       "   Vietnamese Restaurant  Wine Bar  Women's Store  Yoga Studio  \n",
       "0                      0         0              0            0  \n",
       "1                      0         0              0            0  \n",
       "2                      0         0              0            0  \n",
       "3                      0         0              0            0  \n",
       "4                      0         0              0            0  \n",
       "\n",
       "[5 rows x 238 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "# add neighborhood column back to dataframe\n",
    "toronto_onehot['Neighborhoods'] = toronto_venues['Neighborhoods'] \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": "markdown",
   "metadata": {},
   "source": [
    "And let's examine the new dataframe size."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1624, 238)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_onehot.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Next, group rows by neighborhood and by taking the mean of the frequency of occurrence of each category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "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>Neighborhoods</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Gate</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>...</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Business reply mail Processing Centre, South C...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0625</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014706</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.014706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Christie</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.026667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Davisville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Davisville North</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Dufferin, Dovercourt Village</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Forest Hill North &amp; West, Forest Hill Road Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Harbourfront East, Union Station, Toronto Islands</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Kensington Market, Chinatown, Grange Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.054054</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.040541</td>\n",
       "      <td>0.013514</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.022222</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.044444</td>\n",
       "      <td>0.022222</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.022222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>North Toronto West, Lawrence Park</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.055556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.022727</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.022727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Richmond, Adelaide, King</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030303</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.030303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>St. James Town</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.035294</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.011765</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Stn A PO Boxes</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.010417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Studio District</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.054054</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.027027</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.027027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Summerhill West, Rathnelly, South Hill, Forest...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.071429</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.023256</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.023256</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.023256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.010000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>University of Toronto, Harbord</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.029412</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.029412</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>39 rows × 238 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhoods  Afghan Restaurant  \\\n",
       "0                                         Berczy Park           0.000000   \n",
       "1        Brockton, Parkdale Village, Exhibition Place           0.000000   \n",
       "2   Business reply mail Processing Centre, South C...           0.000000   \n",
       "3   CN Tower, King and Spadina, Railway Lands, Har...           0.000000   \n",
       "4                                  Central Bay Street           0.000000   \n",
       "5                                            Christie           0.000000   \n",
       "6                                Church and Wellesley           0.013333   \n",
       "7                      Commerce Court, Victoria Hotel           0.000000   \n",
       "8                                          Davisville           0.000000   \n",
       "9                                    Davisville North           0.000000   \n",
       "10                       Dufferin, Dovercourt Village           0.000000   \n",
       "11             First Canadian Place, Underground city           0.000000   \n",
       "12    Forest Hill North & West, Forest Hill Road Park           0.000000   \n",
       "13                           Garden District, Ryerson           0.000000   \n",
       "14  Harbourfront East, Union Station, Toronto Islands           0.000000   \n",
       "15                      High Park, The Junction South           0.000000   \n",
       "16                     India Bazaar, The Beaches West           0.000000   \n",
       "17          Kensington Market, Chinatown, Grange Park           0.000000   \n",
       "18                                      Lawrence Park           0.000000   \n",
       "19                           Little Portugal, Trinity           0.000000   \n",
       "20                        Moore Park, Summerhill East           0.000000   \n",
       "21                  North Toronto West, Lawrence Park           0.000000   \n",
       "22                             Parkdale, Roncesvalles           0.000000   \n",
       "23        Queen's Park, Ontario Provincial Government           0.000000   \n",
       "24                          Regent Park, Harbourfront           0.000000   \n",
       "25                           Richmond, Adelaide, King           0.000000   \n",
       "26                                           Rosedale           0.000000   \n",
       "27                                           Roselawn           0.000000   \n",
       "28                                 Runnymede, Swansea           0.000000   \n",
       "29                                     St. James Town           0.000000   \n",
       "30                        St. James Town, Cabbagetown           0.000000   \n",
       "31                                     Stn A PO Boxes           0.000000   \n",
       "32                                    Studio District           0.000000   \n",
       "33  Summerhill West, Rathnelly, South Hill, Forest...           0.000000   \n",
       "34                The Annex, North Midtown, Yorkville           0.000000   \n",
       "35                                        The Beaches           0.000000   \n",
       "36                       The Danforth West, Riverdale           0.000000   \n",
       "37           Toronto Dominion Centre, Design Exchange           0.000000   \n",
       "38                     University of Toronto, Harbord           0.000000   \n",
       "\n",
       "    Airport  Airport Food Court  Airport Gate  Airport Lounge  \\\n",
       "0    0.0000              0.0000        0.0000           0.000   \n",
       "1    0.0000              0.0000        0.0000           0.000   \n",
       "2    0.0000              0.0000        0.0000           0.000   \n",
       "3    0.0625              0.0625        0.0625           0.125   \n",
       "4    0.0000              0.0000        0.0000           0.000   \n",
       "5    0.0000              0.0000        0.0000           0.000   \n",
       "6    0.0000              0.0000        0.0000           0.000   \n",
       "7    0.0000              0.0000        0.0000           0.000   \n",
       "8    0.0000              0.0000        0.0000           0.000   \n",
       "9    0.0000              0.0000        0.0000           0.000   \n",
       "10   0.0000              0.0000        0.0000           0.000   \n",
       "11   0.0000              0.0000        0.0000           0.000   \n",
       "12   0.0000              0.0000        0.0000           0.000   \n",
       "13   0.0000              0.0000        0.0000           0.000   \n",
       "14   0.0000              0.0000        0.0000           0.000   \n",
       "15   0.0000              0.0000        0.0000           0.000   \n",
       "16   0.0000              0.0000        0.0000           0.000   \n",
       "17   0.0000              0.0000        0.0000           0.000   \n",
       "18   0.0000              0.0000        0.0000           0.000   \n",
       "19   0.0000              0.0000        0.0000           0.000   \n",
       "20   0.0000              0.0000        0.0000           0.000   \n",
       "21   0.0000              0.0000        0.0000           0.000   \n",
       "22   0.0000              0.0000        0.0000           0.000   \n",
       "23   0.0000              0.0000        0.0000           0.000   \n",
       "24   0.0000              0.0000        0.0000           0.000   \n",
       "25   0.0000              0.0000        0.0000           0.000   \n",
       "26   0.0000              0.0000        0.0000           0.000   \n",
       "27   0.0000              0.0000        0.0000           0.000   \n",
       "28   0.0000              0.0000        0.0000           0.000   \n",
       "29   0.0000              0.0000        0.0000           0.000   \n",
       "30   0.0000              0.0000        0.0000           0.000   \n",
       "31   0.0000              0.0000        0.0000           0.000   \n",
       "32   0.0000              0.0000        0.0000           0.000   \n",
       "33   0.0000              0.0000        0.0000           0.000   \n",
       "34   0.0000              0.0000        0.0000           0.000   \n",
       "35   0.0000              0.0000        0.0000           0.000   \n",
       "36   0.0000              0.0000        0.0000           0.000   \n",
       "37   0.0000              0.0000        0.0000           0.000   \n",
       "38   0.0000              0.0000        0.0000           0.000   \n",
       "\n",
       "    Airport Service  Airport Terminal  American Restaurant  Antique Shop  ...  \\\n",
       "0             0.000            0.0000             0.000000      0.000000  ...   \n",
       "1             0.000            0.0000             0.000000      0.000000  ...   \n",
       "2             0.000            0.0000             0.000000      0.000000  ...   \n",
       "3             0.125            0.0625             0.000000      0.000000  ...   \n",
       "4             0.000            0.0000             0.000000      0.000000  ...   \n",
       "5             0.000            0.0000             0.000000      0.000000  ...   \n",
       "6             0.000            0.0000             0.013333      0.000000  ...   \n",
       "7             0.000            0.0000             0.030000      0.000000  ...   \n",
       "8             0.000            0.0000             0.000000      0.000000  ...   \n",
       "9             0.000            0.0000             0.000000      0.000000  ...   \n",
       "10            0.000            0.0000             0.000000      0.000000  ...   \n",
       "11            0.000            0.0000             0.030000      0.000000  ...   \n",
       "12            0.000            0.0000             0.000000      0.000000  ...   \n",
       "13            0.000            0.0000             0.000000      0.000000  ...   \n",
       "14            0.000            0.0000             0.000000      0.000000  ...   \n",
       "15            0.000            0.0000             0.000000      0.040000  ...   \n",
       "16            0.000            0.0000             0.000000      0.000000  ...   \n",
       "17            0.000            0.0000             0.000000      0.000000  ...   \n",
       "18            0.000            0.0000             0.000000      0.000000  ...   \n",
       "19            0.000            0.0000             0.000000      0.000000  ...   \n",
       "20            0.000            0.0000             0.000000      0.000000  ...   \n",
       "21            0.000            0.0000             0.000000      0.000000  ...   \n",
       "22            0.000            0.0000             0.000000      0.000000  ...   \n",
       "23            0.000            0.0000             0.000000      0.000000  ...   \n",
       "24            0.000            0.0000             0.000000      0.022727  ...   \n",
       "25            0.000            0.0000             0.020000      0.000000  ...   \n",
       "26            0.000            0.0000             0.000000      0.000000  ...   \n",
       "27            0.000            0.0000             0.000000      0.000000  ...   \n",
       "28            0.000            0.0000             0.000000      0.000000  ...   \n",
       "29            0.000            0.0000             0.035294      0.000000  ...   \n",
       "30            0.000            0.0000             0.000000      0.000000  ...   \n",
       "31            0.000            0.0000             0.010417      0.010417  ...   \n",
       "32            0.000            0.0000             0.054054      0.000000  ...   \n",
       "33            0.000            0.0000             0.071429      0.000000  ...   \n",
       "34            0.000            0.0000             0.000000      0.000000  ...   \n",
       "35            0.000            0.0000             0.000000      0.000000  ...   \n",
       "36            0.000            0.0000             0.023256      0.000000  ...   \n",
       "37            0.000            0.0000             0.030000      0.000000  ...   \n",
       "38            0.000            0.0000             0.000000      0.000000  ...   \n",
       "\n",
       "    Theme Restaurant  Toy / Game Store     Trail  Train Station  \\\n",
       "0           0.000000          0.000000  0.000000           0.00   \n",
       "1           0.000000          0.000000  0.000000           0.00   \n",
       "2           0.000000          0.000000  0.000000           0.00   \n",
       "3           0.000000          0.000000  0.000000           0.00   \n",
       "4           0.000000          0.000000  0.000000           0.00   \n",
       "5           0.000000          0.000000  0.000000           0.00   \n",
       "6           0.013333          0.000000  0.000000           0.00   \n",
       "7           0.000000          0.000000  0.000000           0.00   \n",
       "8           0.000000          0.030303  0.000000           0.00   \n",
       "9           0.000000          0.000000  0.000000           0.00   \n",
       "10          0.000000          0.000000  0.000000           0.00   \n",
       "11          0.000000          0.000000  0.000000           0.01   \n",
       "12          0.000000          0.000000  0.250000           0.00   \n",
       "13          0.000000          0.010000  0.000000           0.00   \n",
       "14          0.000000          0.000000  0.000000           0.01   \n",
       "15          0.000000          0.000000  0.000000           0.00   \n",
       "16          0.000000          0.000000  0.000000           0.00   \n",
       "17          0.000000          0.000000  0.000000           0.00   \n",
       "18          0.000000          0.000000  0.000000           0.00   \n",
       "19          0.000000          0.000000  0.000000           0.00   \n",
       "20          0.000000          0.000000  0.500000           0.00   \n",
       "21          0.000000          0.000000  0.000000           0.00   \n",
       "22          0.000000          0.000000  0.000000           0.00   \n",
       "23          0.000000          0.000000  0.000000           0.00   \n",
       "24          0.000000          0.000000  0.000000           0.00   \n",
       "25          0.000000          0.010000  0.000000           0.00   \n",
       "26          0.000000          0.000000  0.250000           0.00   \n",
       "27          0.000000          0.000000  0.000000           0.00   \n",
       "28          0.000000          0.000000  0.000000           0.00   \n",
       "29          0.000000          0.000000  0.000000           0.00   \n",
       "30          0.000000          0.000000  0.000000           0.00   \n",
       "31          0.000000          0.000000  0.000000           0.00   \n",
       "32          0.000000          0.000000  0.000000           0.00   \n",
       "33          0.000000          0.000000  0.000000           0.00   \n",
       "34          0.000000          0.000000  0.000000           0.00   \n",
       "35          0.000000          0.000000  0.250000           0.00   \n",
       "36          0.000000          0.000000  0.023256           0.00   \n",
       "37          0.000000          0.000000  0.000000           0.01   \n",
       "38          0.000000          0.000000  0.000000           0.00   \n",
       "\n",
       "    Vegetarian / Vegan Restaurant  Video Game Store  Vietnamese Restaurant  \\\n",
       "0                        0.018182          0.000000               0.000000   \n",
       "1                        0.000000          0.000000               0.000000   \n",
       "2                        0.000000          0.000000               0.000000   \n",
       "3                        0.000000          0.000000               0.000000   \n",
       "4                        0.014706          0.000000               0.000000   \n",
       "5                        0.000000          0.000000               0.000000   \n",
       "6                        0.000000          0.000000               0.013333   \n",
       "7                        0.020000          0.000000               0.000000   \n",
       "8                        0.000000          0.000000               0.000000   \n",
       "9                        0.000000          0.000000               0.000000   \n",
       "10                       0.000000          0.000000               0.000000   \n",
       "11                       0.010000          0.000000               0.000000   \n",
       "12                       0.000000          0.000000               0.000000   \n",
       "13                       0.000000          0.010000               0.010000   \n",
       "14                       0.010000          0.000000               0.000000   \n",
       "15                       0.000000          0.000000               0.000000   \n",
       "16                       0.000000          0.000000               0.000000   \n",
       "17                       0.054054          0.000000               0.040541   \n",
       "18                       0.000000          0.000000               0.000000   \n",
       "19                       0.022222          0.000000               0.044444   \n",
       "20                       0.000000          0.000000               0.000000   \n",
       "21                       0.000000          0.000000               0.000000   \n",
       "22                       0.000000          0.000000               0.000000   \n",
       "23                       0.000000          0.000000               0.000000   \n",
       "24                       0.000000          0.000000               0.000000   \n",
       "25                       0.010000          0.000000               0.000000   \n",
       "26                       0.000000          0.000000               0.000000   \n",
       "27                       0.000000          0.000000               0.000000   \n",
       "28                       0.030303          0.000000               0.000000   \n",
       "29                       0.011765          0.000000               0.000000   \n",
       "30                       0.000000          0.000000               0.000000   \n",
       "31                       0.010417          0.000000               0.000000   \n",
       "32                       0.000000          0.000000               0.000000   \n",
       "33                       0.000000          0.000000               0.071429   \n",
       "34                       0.000000          0.000000               0.000000   \n",
       "35                       0.000000          0.000000               0.000000   \n",
       "36                       0.000000          0.000000               0.000000   \n",
       "37                       0.010000          0.000000               0.000000   \n",
       "38                       0.000000          0.029412               0.000000   \n",
       "\n",
       "    Wine Bar  Women's Store  Yoga Studio  \n",
       "0   0.000000           0.00     0.000000  \n",
       "1   0.000000           0.00     0.000000  \n",
       "2   0.000000           0.00     0.000000  \n",
       "3   0.000000           0.00     0.000000  \n",
       "4   0.014706           0.00     0.014706  \n",
       "5   0.000000           0.00     0.000000  \n",
       "6   0.000000           0.00     0.026667  \n",
       "7   0.010000           0.00     0.000000  \n",
       "8   0.000000           0.00     0.000000  \n",
       "9   0.000000           0.00     0.000000  \n",
       "10  0.000000           0.00     0.000000  \n",
       "11  0.010000           0.00     0.000000  \n",
       "12  0.000000           0.00     0.000000  \n",
       "13  0.010000           0.00     0.000000  \n",
       "14  0.010000           0.00     0.000000  \n",
       "15  0.000000           0.00     0.000000  \n",
       "16  0.000000           0.00     0.000000  \n",
       "17  0.013514           0.00     0.000000  \n",
       "18  0.000000           0.00     0.000000  \n",
       "19  0.022222           0.00     0.022222  \n",
       "20  0.000000           0.00     0.000000  \n",
       "21  0.000000           0.00     0.055556  \n",
       "22  0.000000           0.00     0.000000  \n",
       "23  0.000000           0.00     0.030303  \n",
       "24  0.000000           0.00     0.022727  \n",
       "25  0.000000           0.01     0.000000  \n",
       "26  0.000000           0.00     0.000000  \n",
       "27  0.000000           0.00     0.000000  \n",
       "28  0.000000           0.00     0.030303  \n",
       "29  0.011765           0.00     0.000000  \n",
       "30  0.000000           0.00     0.000000  \n",
       "31  0.000000           0.00     0.010417  \n",
       "32  0.027027           0.00     0.027027  \n",
       "33  0.000000           0.00     0.000000  \n",
       "34  0.000000           0.00     0.000000  \n",
       "35  0.000000           0.00     0.000000  \n",
       "36  0.000000           0.00     0.023256  \n",
       "37  0.010000           0.00     0.000000  \n",
       "38  0.000000           0.00     0.029412  \n",
       "\n",
       "[39 rows x 238 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighborhoods').mean().reset_index()\n",
    "toronto_grouped"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Confirm the new size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(39, 238)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Print each neighborhood along with the top 5 most common venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Berczy Park----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.09\n",
      "1    Cocktail Bar  0.04\n",
      "2        Beer Bar  0.04\n",
      "3  Farmers Market  0.04\n",
      "4     Cheese Shop  0.04\n",
      "\n",
      "\n",
      "----Brockton, Parkdale Village, Exhibition Place----\n",
      "            venue  freq\n",
      "0            Café  0.13\n",
      "1  Breakfast Spot  0.09\n",
      "2     Coffee Shop  0.09\n",
      "3       Nightclub  0.09\n",
      "4       Pet Store  0.04\n",
      "\n",
      "\n",
      "----Business reply mail Processing Centre, South Central Letter Processing Plant Toronto----\n",
      "                  venue  freq\n",
      "0  Gym / Fitness Center  0.06\n",
      "1         Auto Workshop  0.06\n",
      "2           Pizza Place  0.06\n",
      "3            Comic Shop  0.06\n",
      "4      Recording Studio  0.06\n",
      "\n",
      "\n",
      "----CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport----\n",
      "                 venue  freq\n",
      "0       Airport Lounge  0.12\n",
      "1      Airport Service  0.12\n",
      "2  Rental Car Location  0.06\n",
      "3        Boat or Ferry  0.06\n",
      "4   Airport Food Court  0.06\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.18\n",
      "1                Café  0.06\n",
      "2      Sandwich Place  0.04\n",
      "3  Italian Restaurant  0.04\n",
      "4     Thai Restaurant  0.03\n",
      "\n",
      "\n",
      "----Christie----\n",
      "                venue  freq\n",
      "0       Grocery Store  0.25\n",
      "1                Café  0.19\n",
      "2                Park  0.12\n",
      "3         Coffee Shop  0.06\n",
      "4  Italian Restaurant  0.06\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.09\n",
      "1  Japanese Restaurant  0.05\n",
      "2     Sushi Restaurant  0.05\n",
      "3              Gay Bar  0.05\n",
      "4           Restaurant  0.04\n",
      "\n",
      "\n",
      "----Commerce Court, Victoria Hotel----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.13\n",
      "1   Restaurant  0.07\n",
      "2         Café  0.06\n",
      "3        Hotel  0.06\n",
      "4          Gym  0.04\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "            venue  freq\n",
      "0     Pizza Place  0.09\n",
      "1    Dessert Shop  0.09\n",
      "2  Sandwich Place  0.09\n",
      "3            Café  0.06\n",
      "4     Coffee Shop  0.06\n",
      "\n",
      "\n",
      "----Davisville North----\n",
      "                  venue  freq\n",
      "0  Gym / Fitness Center  0.11\n",
      "1     Food & Drink Shop  0.11\n",
      "2          Dance Studio  0.11\n",
      "3      Department Store  0.11\n",
      "4               Dog Run  0.11\n",
      "\n",
      "\n",
      "----Dufferin, Dovercourt Village----\n",
      "                       venue  freq\n",
      "0                     Bakery  0.15\n",
      "1                   Pharmacy  0.15\n",
      "2  Middle Eastern Restaurant  0.08\n",
      "3                    Brewery  0.08\n",
      "4                        Bar  0.08\n",
      "\n",
      "\n",
      "----First Canadian Place, Underground city----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.11\n",
      "1                 Café  0.07\n",
      "2                Hotel  0.05\n",
      "3                  Gym  0.04\n",
      "4  Japanese Restaurant  0.04\n",
      "\n",
      "\n",
      "----Forest Hill North & West, Forest Hill Road Park----\n",
      "               venue  freq\n",
      "0               Park  0.25\n",
      "1              Trail  0.25\n",
      "2      Jewelry Store  0.25\n",
      "3   Sushi Restaurant  0.25\n",
      "4  Afghan Restaurant  0.00\n",
      "\n",
      "\n",
      "----Garden District, Ryerson----\n",
      "                 venue  freq\n",
      "0       Clothing Store  0.09\n",
      "1          Coffee Shop  0.09\n",
      "2                 Café  0.04\n",
      "3       Cosmetics Shop  0.03\n",
      "4  Japanese Restaurant  0.03\n",
      "\n",
      "\n",
      "----Harbourfront East, Union Station, Toronto Islands----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.13\n",
      "1     Aquarium  0.05\n",
      "2         Café  0.04\n",
      "3        Hotel  0.04\n",
      "4      Brewery  0.03\n",
      "\n",
      "\n",
      "----High Park, The Junction South----\n",
      "                venue  freq\n",
      "0                Café  0.08\n",
      "1  Mexican Restaurant  0.08\n",
      "2                 Bar  0.08\n",
      "3     Thai Restaurant  0.08\n",
      "4                Park  0.04\n",
      "\n",
      "\n",
      "----India Bazaar, The Beaches West----\n",
      "                  venue  freq\n",
      "0                  Park  0.11\n",
      "1           Coffee Shop  0.05\n",
      "2               Brewery  0.05\n",
      "3  Fast Food Restaurant  0.05\n",
      "4     Fish & Chips Shop  0.05\n",
      "\n",
      "\n",
      "----Kensington Market, Chinatown, Grange Park----\n",
      "                           venue  freq\n",
      "0                           Café  0.05\n",
      "1             Mexican Restaurant  0.05\n",
      "2                            Bar  0.05\n",
      "3                    Coffee Shop  0.05\n",
      "4  Vegetarian / Vegan Restaurant  0.05\n",
      "\n",
      "\n",
      "----Lawrence Park----\n",
      "                 venue  freq\n",
      "0                 Park  0.33\n",
      "1             Bus Line  0.33\n",
      "2          Swim School  0.33\n",
      "3    Afghan Restaurant  0.00\n",
      "4  Monument / Landmark  0.00\n",
      "\n",
      "\n",
      "----Little Portugal, Trinity----\n",
      "                   venue  freq\n",
      "0                    Bar  0.09\n",
      "1            Coffee Shop  0.07\n",
      "2  Vietnamese Restaurant  0.04\n",
      "3                   Café  0.04\n",
      "4             Restaurant  0.04\n",
      "\n",
      "\n",
      "----Moore Park, Summerhill East----\n",
      "               venue  freq\n",
      "0         Playground   0.5\n",
      "1              Trail   0.5\n",
      "2  Afghan Restaurant   0.0\n",
      "3      Movie Theater   0.0\n",
      "4             Market   0.0\n",
      "\n",
      "\n",
      "----North Toronto West, Lawrence Park----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.11\n",
      "1  Clothing Store  0.11\n",
      "2     Yoga Studio  0.06\n",
      "3      Bagel Shop  0.06\n",
      "4           Diner  0.06\n",
      "\n",
      "\n",
      "----Parkdale, Roncesvalles----\n",
      "            venue  freq\n",
      "0  Breakfast Spot  0.14\n",
      "1       Gift Shop  0.14\n",
      "2      Restaurant  0.07\n",
      "3    Dessert Shop  0.07\n",
      "4         Dog Run  0.07\n",
      "\n",
      "\n",
      "----Queen's Park, Ontario Provincial Government----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.24\n",
      "1         Yoga Studio  0.03\n",
      "2  Chinese Restaurant  0.03\n",
      "3    Sushi Restaurant  0.03\n",
      "4            Beer Bar  0.03\n",
      "\n",
      "\n",
      "----Regent Park, Harbourfront----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.18\n",
      "1             Pub  0.07\n",
      "2          Bakery  0.07\n",
      "3            Park  0.07\n",
      "4  Breakfast Spot  0.05\n",
      "\n",
      "\n",
      "----Richmond, Adelaide, King----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.08\n",
      "1         Café  0.05\n",
      "2   Restaurant  0.04\n",
      "3          Gym  0.04\n",
      "4          Bar  0.03\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "                 venue  freq\n",
      "0                 Park  0.50\n",
      "1           Playground  0.25\n",
      "2                Trail  0.25\n",
      "3    Afghan Restaurant  0.00\n",
      "4  Moroccan Restaurant  0.00\n",
      "\n",
      "\n",
      "----Roselawn----\n",
      "                 venue  freq\n",
      "0               Garden   0.5\n",
      "1          Music Venue   0.5\n",
      "2  Moroccan Restaurant   0.0\n",
      "3     Malay Restaurant   0.0\n",
      "4               Market   0.0\n",
      "\n",
      "\n",
      "----Runnymede, Swansea----\n",
      "              venue  freq\n",
      "0       Coffee Shop  0.09\n",
      "1              Café  0.09\n",
      "2               Pub  0.06\n",
      "3       Pizza Place  0.06\n",
      "4  Sushi Restaurant  0.06\n",
      "\n",
      "\n",
      "----St. James Town----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.07\n",
      "1                 Café  0.06\n",
      "2         Cocktail Bar  0.05\n",
      "3           Restaurant  0.05\n",
      "4  American Restaurant  0.04\n",
      "\n",
      "\n",
      "----St. James Town, Cabbagetown----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.08\n",
      "1         Café  0.06\n",
      "2   Restaurant  0.06\n",
      "3  Pizza Place  0.06\n",
      "4       Bakery  0.04\n",
      "\n",
      "\n",
      "----Stn A PO Boxes----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.10\n",
      "1   Italian Restaurant  0.04\n",
      "2  Japanese Restaurant  0.03\n",
      "3   Seafood Restaurant  0.03\n",
      "4                Hotel  0.03\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.08\n",
      "1              Brewery  0.05\n",
      "2                 Café  0.05\n",
      "3  American Restaurant  0.05\n",
      "4               Bakery  0.05\n",
      "\n",
      "\n",
      "----Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.14\n",
      "1   Light Rail Station  0.07\n",
      "2                  Pub  0.07\n",
      "3         Liquor Store  0.07\n",
      "4  Fried Chicken Joint  0.07\n",
      "\n",
      "\n",
      "----The Annex, North Midtown, Yorkville----\n",
      "            venue  freq\n",
      "0  Sandwich Place  0.16\n",
      "1            Café  0.16\n",
      "2     Coffee Shop  0.11\n",
      "3        Pharmacy  0.05\n",
      "4    Liquor Store  0.05\n",
      "\n",
      "\n",
      "----The Beaches----\n",
      "                venue  freq\n",
      "0               Trail  0.25\n",
      "1   Health Food Store  0.25\n",
      "2        Neighborhood  0.25\n",
      "3                 Pub  0.25\n",
      "4  Mexican Restaurant  0.00\n",
      "\n",
      "\n",
      "----The Danforth West, Riverdale----\n",
      "                    venue  freq\n",
      "0        Greek Restaurant  0.16\n",
      "1             Coffee Shop  0.09\n",
      "2      Italian Restaurant  0.07\n",
      "3  Furniture / Home Store  0.05\n",
      "4               Bookstore  0.05\n",
      "\n",
      "\n",
      "----Toronto Dominion Centre, Design Exchange----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.14\n",
      "1                Hotel  0.08\n",
      "2                 Café  0.05\n",
      "3           Restaurant  0.05\n",
      "4  Japanese Restaurant  0.03\n",
      "\n",
      "\n",
      "----University of Toronto, Harbord----\n",
      "                 venue  freq\n",
      "0                 Café  0.15\n",
      "1            Bookstore  0.09\n",
      "2               Bakery  0.06\n",
      "3  Japanese Restaurant  0.06\n",
      "4       Sandwich Place  0.06\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in toronto_grouped['Neighborhoods']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = toronto_grouped[toronto_grouped['Neighborhoods'] == hood].T.reset_index()\n",
    "    temp.columns = ['venue','freq']\n",
    "    temp = temp.iloc[1:]\n",
    "    temp['freq'] = temp['freq'].astype(float)\n",
    "    temp = temp.round({'freq': 2})\n",
    "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Put that into a _pandas_ dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, write a function to sort the venues in descending order."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now create the new dataframe and display the top 10 venues for each neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "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>Neighborhoods</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Basketball Stadium</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Climbing Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Business reply mail Processing Centre, South C...</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       Neighborhoods 1st Most Common Venue  \\\n",
       "0                                        Berczy Park           Coffee Shop   \n",
       "1       Brockton, Parkdale Village, Exhibition Place                  Café   \n",
       "2  Business reply mail Processing Centre, South C...  Gym / Fitness Center   \n",
       "3  CN Tower, King and Spadina, Railway Lands, Har...        Airport Lounge   \n",
       "4                                 Central Bay Street           Coffee Shop   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0          Cocktail Bar    Seafood Restaurant                Bakery   \n",
       "1             Nightclub           Coffee Shop        Breakfast Spot   \n",
       "2         Auto Workshop            Comic Shop                  Park   \n",
       "3       Airport Service              Boutique                 Plane   \n",
       "4                  Café        Sandwich Place    Italian Restaurant   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0              Beer Bar        Farmers Market            Restaurant   \n",
       "1         Grocery Store          Intersection                   Bar   \n",
       "2           Pizza Place      Recording Studio            Restaurant   \n",
       "3               Airport    Airport Food Court          Airport Gate   \n",
       "4           Salad Place      Department Store       Thai Restaurant   \n",
       "\n",
       "  8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "0           Cheese Shop    Basketball Stadium    Sporting Goods Shop  \n",
       "1                Bakery    Italian Restaurant           Climbing Gym  \n",
       "2               Butcher         Burrito Place                Brewery  \n",
       "3      Airport Terminal                   Bar        Harbor / Marina  \n",
       "4          Burger Joint       Bubble Tea Shop    Japanese Restaurant  "
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhoods']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhoods'] = toronto_grouped['Neighborhoods']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Cluster Neighborhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Run _k_-means to cluster the neighborhood into 5 clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 2, 2, 2, 2, 2, 2, 2, 2, 2])"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighborhoods', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Create a new dataframe that includes the cluster as well as the top 10 venues for each neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "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>Neighborhoods</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>43.654260</td>\n",
       "      <td>-79.360636</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Café</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>43.662301</td>\n",
       "      <td>-79.389494</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Smoothie Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>43.657162</td>\n",
       "      <td>-79.378937</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>St. James Town</td>\n",
       "      <td>43.651494</td>\n",
       "      <td>-79.375418</td>\n",
       "      <td>2</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Moroccan Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>The Beaches</td>\n",
       "      <td>43.676357</td>\n",
       "      <td>-79.293031</td>\n",
       "      <td>3</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Borough                                Neighborhoods   Latitude  \\\n",
       "0  Downtown Toronto                    Regent Park, Harbourfront  43.654260   \n",
       "1  Downtown Toronto  Queen's Park, Ontario Provincial Government  43.662301   \n",
       "2  Downtown Toronto                     Garden District, Ryerson  43.657162   \n",
       "3  Downtown Toronto                               St. James Town  43.651494   \n",
       "4      East Toronto                                  The Beaches  43.676357   \n",
       "\n",
       "   Longitude  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "0 -79.360636               2           Coffee Shop                   Pub   \n",
       "1 -79.389494               2           Coffee Shop                  Bank   \n",
       "2 -79.378937               2           Coffee Shop        Clothing Store   \n",
       "3 -79.375418               2           Coffee Shop                  Café   \n",
       "4 -79.293031               3                   Pub     Health Food Store   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "0                Bakery                  Park        Breakfast Spot   \n",
       "1              Beer Bar         Smoothie Shop        Sandwich Place   \n",
       "2                  Café       Bubble Tea Shop   Japanese Restaurant   \n",
       "3          Cocktail Bar            Restaurant             Gastropub   \n",
       "4                 Trail          Neighborhood           Yoga Studio   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue  8th Most Common Venue  \\\n",
       "0                  Café               Theater            Yoga Studio   \n",
       "1            Restaurant                  Café  Portuguese Restaurant   \n",
       "2        Cosmetics Shop                 Hotel              Bookstore   \n",
       "3   American Restaurant              Beer Bar                    Gym   \n",
       "4   Distribution Center    Dim Sum Restaurant                  Diner   \n",
       "\n",
       "  9th Most Common Venue     10th Most Common Venue  \n",
       "0           Event Space                 Restaurant  \n",
       "1    Chinese Restaurant                       Park  \n",
       "2           Pizza Place  Middle Eastern Restaurant  \n",
       "3   Moroccan Restaurant           Department Store  \n",
       "4        Discount Store           Doner Restaurant  "
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "toronto_merged = boroughs_df\n",
    "\n",
    "# merge toronto_grouped with boroughs_df to add latitude/longitude for each neighborhood\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhoods'), on='Neighborhoods')\n",
    "\n",
    "toronto_merged.head() # check the last columns!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's visualize the resulting clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
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                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_627df245dd534168b442935387b2afde = L.popup({"maxWidth": "100%"});

        
            var html_4440c616cf614715809ec5b3bced3eeb = $(`<div id="html_4440c616cf614715809ec5b3bced3eeb" style="width: 100.0%; height: 100.0%;">Harbourfront East, Union Station, Toronto Islands Cluster 2</div>`)[0];
            popup_627df245dd534168b442935387b2afde.setContent(html_4440c616cf614715809ec5b3bced3eeb);
        

        circle_marker_0c0078c44b99417d833a0c4f86448c16.bindPopup(popup_627df245dd534168b442935387b2afde)
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            var circle_marker_72c40be216aa41a788248d4f9a382e78 = L.circleMarker(
                [43.647926700000006, -79.4197497],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_46d5d766b6e7435f9d14ad28d3c57c0e = L.popup({"maxWidth": "100%"});

        
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            popup_46d5d766b6e7435f9d14ad28d3c57c0e.setContent(html_b3357475deea4b80a898d17fc9827971);
        

        circle_marker_72c40be216aa41a788248d4f9a382e78.bindPopup(popup_46d5d766b6e7435f9d14ad28d3c57c0e)
        ;

        
    
    
            var circle_marker_9beb4f50a9b74e65a0c9f0b02d6ee590 = L.circleMarker(
                [43.6795571, -79.352188],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_98eead1ba2a84aa28fa97853100e1ca0 = L.popup({"maxWidth": "100%"});

        
            var html_3d567ce6edb541c5a765e32037fbe597 = $(`<div id="html_3d567ce6edb541c5a765e32037fbe597" style="width: 100.0%; height: 100.0%;">The Danforth West, Riverdale Cluster 2</div>`)[0];
            popup_98eead1ba2a84aa28fa97853100e1ca0.setContent(html_3d567ce6edb541c5a765e32037fbe597);
        

        circle_marker_9beb4f50a9b74e65a0c9f0b02d6ee590.bindPopup(popup_98eead1ba2a84aa28fa97853100e1ca0)
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            var circle_marker_f29c53122b6d4be68887c31a9814c38c = L.circleMarker(
                [43.6471768, -79.38157640000001],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_329bc7d9738d4d7f926b0a0c39c60a12 = L.popup({"maxWidth": "100%"});

        
            var html_a9483b3c45004c28b70b1ac8e962148d = $(`<div id="html_a9483b3c45004c28b70b1ac8e962148d" style="width: 100.0%; height: 100.0%;">Toronto Dominion Centre, Design Exchange Cluster 2</div>`)[0];
            popup_329bc7d9738d4d7f926b0a0c39c60a12.setContent(html_a9483b3c45004c28b70b1ac8e962148d);
        

        circle_marker_f29c53122b6d4be68887c31a9814c38c.bindPopup(popup_329bc7d9738d4d7f926b0a0c39c60a12)
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            var circle_marker_8813ac9783d547939f1799f51e479cf5 = L.circleMarker(
                [43.6368472, -79.42819140000002],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_662be935631641acbb529734d8133779 = L.popup({"maxWidth": "100%"});

        
            var html_756680f2384b4474a0d56062901248fe = $(`<div id="html_756680f2384b4474a0d56062901248fe" style="width: 100.0%; height: 100.0%;">Brockton, Parkdale Village, Exhibition Place Cluster 2</div>`)[0];
            popup_662be935631641acbb529734d8133779.setContent(html_756680f2384b4474a0d56062901248fe);
        

        circle_marker_8813ac9783d547939f1799f51e479cf5.bindPopup(popup_662be935631641acbb529734d8133779)
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            var circle_marker_877e0675f6324c8fbdae6137621a63d3 = L.circleMarker(
                [43.6689985, -79.31557159999998],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_e9839252dabb4532813930c251d5f688 = L.popup({"maxWidth": "100%"});

        
            var html_e42462513ef94b74bbaa6a94ee5a51e8 = $(`<div id="html_e42462513ef94b74bbaa6a94ee5a51e8" style="width: 100.0%; height: 100.0%;">India Bazaar, The Beaches West Cluster 2</div>`)[0];
            popup_e9839252dabb4532813930c251d5f688.setContent(html_e42462513ef94b74bbaa6a94ee5a51e8);
        

        circle_marker_877e0675f6324c8fbdae6137621a63d3.bindPopup(popup_e9839252dabb4532813930c251d5f688)
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            var circle_marker_fba92ac95f9e4382b72393dad9c14ef8 = L.circleMarker(
                [43.6481985, -79.37981690000001],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_45c98dd457f547dcb75c4816565962b4 = L.popup({"maxWidth": "100%"});

        
            var html_dce706a165094ccd986e7fd16562598a = $(`<div id="html_dce706a165094ccd986e7fd16562598a" style="width: 100.0%; height: 100.0%;">Commerce Court, Victoria Hotel Cluster 2</div>`)[0];
            popup_45c98dd457f547dcb75c4816565962b4.setContent(html_dce706a165094ccd986e7fd16562598a);
        

        circle_marker_fba92ac95f9e4382b72393dad9c14ef8.bindPopup(popup_45c98dd457f547dcb75c4816565962b4)
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            var circle_marker_1d6932c2485d4daaad71ef21c8dee18d = L.circleMarker(
                [43.6595255, -79.340923],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_36643403674448e084b00417e5d87cf2 = L.popup({"maxWidth": "100%"});

        
            var html_3996a41ca0964a0183aa595133a4e18d = $(`<div id="html_3996a41ca0964a0183aa595133a4e18d" style="width: 100.0%; height: 100.0%;">Studio District Cluster 2</div>`)[0];
            popup_36643403674448e084b00417e5d87cf2.setContent(html_3996a41ca0964a0183aa595133a4e18d);
        

        circle_marker_1d6932c2485d4daaad71ef21c8dee18d.bindPopup(popup_36643403674448e084b00417e5d87cf2)
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            var circle_marker_beec778d933b4560980080d7850f0e77 = L.circleMarker(
                [43.7280205, -79.3887901],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_42c5e209705744da8104b76d14c81bae = L.popup({"maxWidth": "100%"});

        
            var html_547554a96d0942cb9149a0a72fa32211 = $(`<div id="html_547554a96d0942cb9149a0a72fa32211" style="width: 100.0%; height: 100.0%;">Lawrence Park Cluster 0</div>`)[0];
            popup_42c5e209705744da8104b76d14c81bae.setContent(html_547554a96d0942cb9149a0a72fa32211);
        

        circle_marker_beec778d933b4560980080d7850f0e77.bindPopup(popup_42c5e209705744da8104b76d14c81bae)
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            var circle_marker_19a75c639b834ec1a502c7ad7b40a5c7 = L.circleMarker(
                [43.7116948, -79.41693559999999],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_a79e3af54631487989d6935a7aa09f74 = L.popup({"maxWidth": "100%"});

        
            var html_5968bd2d69664a9f93b0190ab5de8cad = $(`<div id="html_5968bd2d69664a9f93b0190ab5de8cad" style="width: 100.0%; height: 100.0%;">Roselawn Cluster 4</div>`)[0];
            popup_a79e3af54631487989d6935a7aa09f74.setContent(html_5968bd2d69664a9f93b0190ab5de8cad);
        

        circle_marker_19a75c639b834ec1a502c7ad7b40a5c7.bindPopup(popup_a79e3af54631487989d6935a7aa09f74)
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            var circle_marker_59fe032c960e4538a3d1d4a21930dd78 = L.circleMarker(
                [43.7127511, -79.3901975],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_62e6e5ab5ca14d4792508a4dd738e22d = L.popup({"maxWidth": "100%"});

        
            var html_d834d85806774e559a796a52941ee0ab = $(`<div id="html_d834d85806774e559a796a52941ee0ab" style="width: 100.0%; height: 100.0%;">Davisville North Cluster 2</div>`)[0];
            popup_62e6e5ab5ca14d4792508a4dd738e22d.setContent(html_d834d85806774e559a796a52941ee0ab);
        

        circle_marker_59fe032c960e4538a3d1d4a21930dd78.bindPopup(popup_62e6e5ab5ca14d4792508a4dd738e22d)
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            var circle_marker_dc49f336273d43b5a78bd507a5480b7a = L.circleMarker(
                [43.6969476, -79.41130720000001],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_249a9a754298427bbf81255d3093dd56 = L.popup({"maxWidth": "100%"});

        
            var html_2e17d33ee8a0435eac62c53c5d73c648 = $(`<div id="html_2e17d33ee8a0435eac62c53c5d73c648" style="width: 100.0%; height: 100.0%;">Forest Hill North &amp; West, Forest Hill Road Park Cluster 0</div>`)[0];
            popup_249a9a754298427bbf81255d3093dd56.setContent(html_2e17d33ee8a0435eac62c53c5d73c648);
        

        circle_marker_dc49f336273d43b5a78bd507a5480b7a.bindPopup(popup_249a9a754298427bbf81255d3093dd56)
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            var circle_marker_e25df981a45540699b86d48d0fb24ff4 = L.circleMarker(
                [43.6616083, -79.46476329999999],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_e6a2175a97c44ab4bda78cd105d0ad35 = L.popup({"maxWidth": "100%"});

        
            var html_169c94fdaab14d93ae4e575cf5978734 = $(`<div id="html_169c94fdaab14d93ae4e575cf5978734" style="width: 100.0%; height: 100.0%;">High Park, The Junction South Cluster 2</div>`)[0];
            popup_e6a2175a97c44ab4bda78cd105d0ad35.setContent(html_169c94fdaab14d93ae4e575cf5978734);
        

        circle_marker_e25df981a45540699b86d48d0fb24ff4.bindPopup(popup_e6a2175a97c44ab4bda78cd105d0ad35)
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            var circle_marker_24af663ec83c463bbc6ecc1edc3cc5ca = L.circleMarker(
                [43.7153834, -79.40567840000001],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_54bfb2b18bed41538f415cdb65d6dc78 = L.popup({"maxWidth": "100%"});

        
            var html_defe52ba3af7494dabdfde5c9b80e83a = $(`<div id="html_defe52ba3af7494dabdfde5c9b80e83a" style="width: 100.0%; height: 100.0%;">North Toronto West, Lawrence Park Cluster 2</div>`)[0];
            popup_54bfb2b18bed41538f415cdb65d6dc78.setContent(html_defe52ba3af7494dabdfde5c9b80e83a);
        

        circle_marker_24af663ec83c463bbc6ecc1edc3cc5ca.bindPopup(popup_54bfb2b18bed41538f415cdb65d6dc78)
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            var circle_marker_a69b2eb7aa704ba9bdabff5868aaade2 = L.circleMarker(
                [43.6727097, -79.40567840000001],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_94a8cb8cff534c739e133e526181ad6f = L.popup({"maxWidth": "100%"});

        
            var html_3acd934892c249e69516e407b7d59366 = $(`<div id="html_3acd934892c249e69516e407b7d59366" style="width: 100.0%; height: 100.0%;">The Annex, North Midtown, Yorkville Cluster 2</div>`)[0];
            popup_94a8cb8cff534c739e133e526181ad6f.setContent(html_3acd934892c249e69516e407b7d59366);
        

        circle_marker_a69b2eb7aa704ba9bdabff5868aaade2.bindPopup(popup_94a8cb8cff534c739e133e526181ad6f)
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            var circle_marker_bfdbe8846bd5482a99035546549dba69 = L.circleMarker(
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                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_3f4222d418174cfbb7a2b1b7913341f9 = L.popup({"maxWidth": "100%"});

        
            var html_b269cfbada374e03987d3eeb075b675b = $(`<div id="html_b269cfbada374e03987d3eeb075b675b" style="width: 100.0%; height: 100.0%;">Parkdale, Roncesvalles Cluster 2</div>`)[0];
            popup_3f4222d418174cfbb7a2b1b7913341f9.setContent(html_b269cfbada374e03987d3eeb075b675b);
        

        circle_marker_bfdbe8846bd5482a99035546549dba69.bindPopup(popup_3f4222d418174cfbb7a2b1b7913341f9)
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            var circle_marker_a90bb9f1180e4dab8201508245a3e577 = L.circleMarker(
                [43.7043244, -79.3887901],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_94931ff04c184a9a8bc3d14ec224611d = L.popup({"maxWidth": "100%"});

        
            var html_250d48b1784747ab92b66cfae838a9be = $(`<div id="html_250d48b1784747ab92b66cfae838a9be" style="width: 100.0%; height: 100.0%;">Davisville Cluster 2</div>`)[0];
            popup_94931ff04c184a9a8bc3d14ec224611d.setContent(html_250d48b1784747ab92b66cfae838a9be);
        

        circle_marker_a90bb9f1180e4dab8201508245a3e577.bindPopup(popup_94931ff04c184a9a8bc3d14ec224611d)
        ;

        
    
    
            var circle_marker_e64bace46f26432f8dc9cfaddc057549 = L.circleMarker(
                [43.6626956, -79.4000493],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_0c9be87196374fd99ab9bf12f413b8ae = L.popup({"maxWidth": "100%"});

        
            var html_689aa794a1b541e6b887929257ce3134 = $(`<div id="html_689aa794a1b541e6b887929257ce3134" style="width: 100.0%; height: 100.0%;">University of Toronto, Harbord Cluster 2</div>`)[0];
            popup_0c9be87196374fd99ab9bf12f413b8ae.setContent(html_689aa794a1b541e6b887929257ce3134);
        

        circle_marker_e64bace46f26432f8dc9cfaddc057549.bindPopup(popup_0c9be87196374fd99ab9bf12f413b8ae)
        ;

        
    
    
            var circle_marker_95c79da1dcf3452a974d39043ba4f48d = L.circleMarker(
                [43.6515706, -79.4844499],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_b30a893f4b53411e93fb9d531390701a = L.popup({"maxWidth": "100%"});

        
            var html_de5cdd26cfd941c78c41a61cde6e2b1a = $(`<div id="html_de5cdd26cfd941c78c41a61cde6e2b1a" style="width: 100.0%; height: 100.0%;">Runnymede, Swansea Cluster 2</div>`)[0];
            popup_b30a893f4b53411e93fb9d531390701a.setContent(html_de5cdd26cfd941c78c41a61cde6e2b1a);
        

        circle_marker_95c79da1dcf3452a974d39043ba4f48d.bindPopup(popup_b30a893f4b53411e93fb9d531390701a)
        ;

        
    
    
            var circle_marker_8e7656a5e7fc42efa233ee80af03eb71 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_0194111f958d450589b44df989037241 = L.popup({"maxWidth": "100%"});

        
            var html_ef7a9962412b415aa83cd4f4c998ee57 = $(`<div id="html_ef7a9962412b415aa83cd4f4c998ee57" style="width: 100.0%; height: 100.0%;">Moore Park, Summerhill East Cluster 1</div>`)[0];
            popup_0194111f958d450589b44df989037241.setContent(html_ef7a9962412b415aa83cd4f4c998ee57);
        

        circle_marker_8e7656a5e7fc42efa233ee80af03eb71.bindPopup(popup_0194111f958d450589b44df989037241)
        ;

        
    
    
            var circle_marker_d5d1434133734770a90a02b7870951af = L.circleMarker(
                [43.6532057, -79.4000493],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_0fa7dac6b60a48afac7604fd291de078 = L.popup({"maxWidth": "100%"});

        
            var html_6beb01a54522447c8674a2f4822a812c = $(`<div id="html_6beb01a54522447c8674a2f4822a812c" style="width: 100.0%; height: 100.0%;">Kensington Market, Chinatown, Grange Park Cluster 2</div>`)[0];
            popup_0fa7dac6b60a48afac7604fd291de078.setContent(html_6beb01a54522447c8674a2f4822a812c);
        

        circle_marker_d5d1434133734770a90a02b7870951af.bindPopup(popup_0fa7dac6b60a48afac7604fd291de078)
        ;

        
    
    
            var circle_marker_2ed82908f45c4fb3a71ecf02bec05a78 = L.circleMarker(
                [43.68641229999999, -79.4000493],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_3339d2c0caaf477b9f8a4e7d783d56f1 = L.popup({"maxWidth": "100%"});

        
            var html_c0e9e731f2aa4029903c18f220f3411b = $(`<div id="html_c0e9e731f2aa4029903c18f220f3411b" style="width: 100.0%; height: 100.0%;">Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park Cluster 2</div>`)[0];
            popup_3339d2c0caaf477b9f8a4e7d783d56f1.setContent(html_c0e9e731f2aa4029903c18f220f3411b);
        

        circle_marker_2ed82908f45c4fb3a71ecf02bec05a78.bindPopup(popup_3339d2c0caaf477b9f8a4e7d783d56f1)
        ;

        
    
    
            var circle_marker_5b0820c483294d1b835c26c7d3c109b9 = L.circleMarker(
                [43.6289467, -79.3944199],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_f9a703a904bb4446bc382222258e708d = L.popup({"maxWidth": "100%"});

        
            var html_73eea7a54e654ab39676bd808143e4f2 = $(`<div id="html_73eea7a54e654ab39676bd808143e4f2" style="width: 100.0%; height: 100.0%;">CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport Cluster 2</div>`)[0];
            popup_f9a703a904bb4446bc382222258e708d.setContent(html_73eea7a54e654ab39676bd808143e4f2);
        

        circle_marker_5b0820c483294d1b835c26c7d3c109b9.bindPopup(popup_f9a703a904bb4446bc382222258e708d)
        ;

        
    
    
            var circle_marker_bef4bf55fb95482886fa38043a7672e0 = L.circleMarker(
                [43.6795626, -79.37752940000001],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_a48cbd1a5b0f42ccba6d8e5928b0ec61 = L.popup({"maxWidth": "100%"});

        
            var html_da384c79c3e344bd928c8840294eee61 = $(`<div id="html_da384c79c3e344bd928c8840294eee61" style="width: 100.0%; height: 100.0%;">Rosedale Cluster 0</div>`)[0];
            popup_a48cbd1a5b0f42ccba6d8e5928b0ec61.setContent(html_da384c79c3e344bd928c8840294eee61);
        

        circle_marker_bef4bf55fb95482886fa38043a7672e0.bindPopup(popup_a48cbd1a5b0f42ccba6d8e5928b0ec61)
        ;

        
    
    
            var circle_marker_a19c3da070ff4d3f8e2f654280fb4e8a = L.circleMarker(
                [43.6464352, -79.37484599999999],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_0435f93d102a44b8861cecdaa81430d2 = L.popup({"maxWidth": "100%"});

        
            var html_0602ba651a76402999ca1ad9df927327 = $(`<div id="html_0602ba651a76402999ca1ad9df927327" style="width: 100.0%; height: 100.0%;">Stn A PO Boxes Cluster 2</div>`)[0];
            popup_0435f93d102a44b8861cecdaa81430d2.setContent(html_0602ba651a76402999ca1ad9df927327);
        

        circle_marker_a19c3da070ff4d3f8e2f654280fb4e8a.bindPopup(popup_0435f93d102a44b8861cecdaa81430d2)
        ;

        
    
    
            var circle_marker_7abb0f6146f1498fb54e1252bff573fb = L.circleMarker(
                [43.667967, -79.3676753],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_3d5159fd453d41f6acdd4122a4254961 = L.popup({"maxWidth": "100%"});

        
            var html_956597b5c6c343ccb2049a71af6c6402 = $(`<div id="html_956597b5c6c343ccb2049a71af6c6402" style="width: 100.0%; height: 100.0%;">St. James Town, Cabbagetown Cluster 2</div>`)[0];
            popup_3d5159fd453d41f6acdd4122a4254961.setContent(html_956597b5c6c343ccb2049a71af6c6402);
        

        circle_marker_7abb0f6146f1498fb54e1252bff573fb.bindPopup(popup_3d5159fd453d41f6acdd4122a4254961)
        ;

        
    
    
            var circle_marker_2a51b1918a5548bebddbff10a12b74c5 = L.circleMarker(
                [43.6484292, -79.3822802],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_1ac378a346694a71bf4632e0b2f64986 = L.popup({"maxWidth": "100%"});

        
            var html_d40d8cc13d4b4a8fb1a5411bd95a451e = $(`<div id="html_d40d8cc13d4b4a8fb1a5411bd95a451e" style="width: 100.0%; height: 100.0%;">First Canadian Place, Underground city Cluster 2</div>`)[0];
            popup_1ac378a346694a71bf4632e0b2f64986.setContent(html_d40d8cc13d4b4a8fb1a5411bd95a451e);
        

        circle_marker_2a51b1918a5548bebddbff10a12b74c5.bindPopup(popup_1ac378a346694a71bf4632e0b2f64986)
        ;

        
    
    
            var circle_marker_40339eb375dd40beae8d4d6702e58a0f = L.circleMarker(
                [43.6658599, -79.38315990000001],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_9d7f3555b6a441bea0d95e70225b284a = L.popup({"maxWidth": "100%"});

        
            var html_d2eb20bcae8742939c4d4832b80c539b = $(`<div id="html_d2eb20bcae8742939c4d4832b80c539b" style="width: 100.0%; height: 100.0%;">Church and Wellesley Cluster 2</div>`)[0];
            popup_9d7f3555b6a441bea0d95e70225b284a.setContent(html_d2eb20bcae8742939c4d4832b80c539b);
        

        circle_marker_40339eb375dd40beae8d4d6702e58a0f.bindPopup(popup_9d7f3555b6a441bea0d95e70225b284a)
        ;

        
    
    
            var circle_marker_9460230d9ed24673be1285c4d08faf20 = L.circleMarker(
                [43.6627439, -79.321558],
                {"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_c0621cf31c224898b56e85ebd3afa86d);
        
    
        var popup_1d775d4ba1aa416e919076d96d0af412 = L.popup({"maxWidth": "100%"});

        
            var html_32de423db2c5491ea46d6d31cfb53045 = $(`<div id="html_32de423db2c5491ea46d6d31cfb53045" style="width: 100.0%; height: 100.0%;">Business reply mail Processing Centre, South Central Letter Processing Plant Toronto Cluster 2</div>`)[0];
            popup_1d775d4ba1aa416e919076d96d0af412.setContent(html_32de423db2c5491ea46d6d31cfb53045);
        

        circle_marker_9460230d9ed24673be1285c4d08faf20.bindPopup(popup_1d775d4ba1aa416e919076d96d0af412)
        ;

        
    
</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 0x1ed135d1c10>"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=11)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(kclusters)\n",
    "ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(toronto_merged['Latitude'], toronto_merged['Longitude'], toronto_merged['Neighborhoods'], 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": [
    "## 5. Examine Clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now examine each cluster and determine the discriminating venue categories that distinguish each cluster. Based on the defining categories, assign a name to each cluster. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 1 - Parks "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "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>Neighborhoods</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Escape Room</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Forest Hill North &amp; West, Forest Hill Road Park</td>\n",
       "      <td>Park</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Escape Room</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      Neighborhoods 1st Most Common Venue  \\\n",
       "18                                    Lawrence Park                  Park   \n",
       "21  Forest Hill North & West, Forest Hill Road Park                  Park   \n",
       "33                                         Rosedale                  Park   \n",
       "\n",
       "   2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "18              Bus Line           Swim School    Dim Sum Restaurant   \n",
       "21         Jewelry Store                 Trail      Sushi Restaurant   \n",
       "33            Playground                 Trail      Department Store   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
       "18  Ethiopian Restaurant           Escape Room            Electronics Store   \n",
       "21           Yoga Studio          Dessert Shop            Electronics Store   \n",
       "33           Escape Room     Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "          8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "18  Eastern European Restaurant   Dumpling Restaurant             Donut Shop  \n",
       "21  Eastern European Restaurant   Dumpling Restaurant             Donut Shop  \n",
       "33          Dumpling Restaurant            Donut Shop       Doner Restaurant  "
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 2 - Playground / Trails"
   ]
  },
  {
   "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>Neighborhoods</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Escape Room</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Neighborhoods 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "29  Moore Park, Summerhill East            Playground                 Trail   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "29           Yoga Studio      Department Store           Escape Room   \n",
       "\n",
       "   6th Most Common Venue        7th Most Common Venue 8th Most Common Venue  \\\n",
       "29     Electronics Store  Eastern European Restaurant   Dumpling Restaurant   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "29            Donut Shop       Doner Restaurant  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 3 - Coffee Shops / Cafes"
   ]
  },
  {
   "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>Neighborhoods</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Park</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Café</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Smoothie Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>St. James Town</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Moroccan Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Basketball Stadium</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Christie</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Candy Store</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Nightclub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Richmond, Adelaide, King</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Bar</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Dufferin, Dovercourt Village</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Harbourfront East, Union Station, Toronto Islands</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Record Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Climbing Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>Park</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Studio District</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Fish Market</td>\n",
       "      <td>Park</td>\n",
       "      <td>Neighborhood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Davisville North</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Park</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Dance Studio</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>Café</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Cajun / Creole Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>North Toronto West, Lawrence Park</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Davisville</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>University of Toronto, Harbord</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Beer Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Smoothie Shop</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Kensington Market, Chinatown, Grange Park</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Summerhill West, Rathnelly, South Hill, Forest...</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport</td>\n",
       "      <td>Airport Food Court</td>\n",
       "      <td>Airport Gate</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Stn A PO Boxes</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Market</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Business reply mail Processing Centre, South C...</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Auto Workshop</td>\n",
       "      <td>Comic Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Butcher</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        Neighborhoods 1st Most Common Venue  \\\n",
       "0                           Regent Park, Harbourfront           Coffee Shop   \n",
       "1         Queen's Park, Ontario Provincial Government           Coffee Shop   \n",
       "2                            Garden District, Ryerson           Coffee Shop   \n",
       "3                                      St. James Town           Coffee Shop   \n",
       "5                                         Berczy Park           Coffee Shop   \n",
       "6                                  Central Bay Street           Coffee Shop   \n",
       "7                                            Christie         Grocery Store   \n",
       "8                            Richmond, Adelaide, King           Coffee Shop   \n",
       "9                        Dufferin, Dovercourt Village                Bakery   \n",
       "10  Harbourfront East, Union Station, Toronto Islands           Coffee Shop   \n",
       "11                           Little Portugal, Trinity                   Bar   \n",
       "12                       The Danforth West, Riverdale      Greek Restaurant   \n",
       "13           Toronto Dominion Centre, Design Exchange           Coffee Shop   \n",
       "14       Brockton, Parkdale Village, Exhibition Place                  Café   \n",
       "15                     India Bazaar, The Beaches West                  Park   \n",
       "16                     Commerce Court, Victoria Hotel           Coffee Shop   \n",
       "17                                    Studio District           Coffee Shop   \n",
       "20                                   Davisville North  Gym / Fitness Center   \n",
       "22                      High Park, The Junction South                  Café   \n",
       "23                  North Toronto West, Lawrence Park           Coffee Shop   \n",
       "24                The Annex, North Midtown, Yorkville        Sandwich Place   \n",
       "25                             Parkdale, Roncesvalles        Breakfast Spot   \n",
       "26                                         Davisville        Sandwich Place   \n",
       "27                     University of Toronto, Harbord                  Café   \n",
       "28                                 Runnymede, Swansea           Coffee Shop   \n",
       "30          Kensington Market, Chinatown, Grange Park                   Bar   \n",
       "31  Summerhill West, Rathnelly, South Hill, Forest...           Coffee Shop   \n",
       "32  CN Tower, King and Spadina, Railway Lands, Har...        Airport Lounge   \n",
       "34                                     Stn A PO Boxes           Coffee Shop   \n",
       "35                        St. James Town, Cabbagetown           Coffee Shop   \n",
       "36             First Canadian Place, Underground city           Coffee Shop   \n",
       "37                               Church and Wellesley           Coffee Shop   \n",
       "38  Business reply mail Processing Centre, South C...  Gym / Fitness Center   \n",
       "\n",
       "            2nd Most Common Venue 3rd Most Common Venue  \\\n",
       "0                             Pub                Bakery   \n",
       "1                            Bank              Beer Bar   \n",
       "2                  Clothing Store                  Café   \n",
       "3                            Café          Cocktail Bar   \n",
       "5                    Cocktail Bar    Seafood Restaurant   \n",
       "6                            Café        Sandwich Place   \n",
       "7                            Café                  Park   \n",
       "8                            Café            Restaurant   \n",
       "9                        Pharmacy         Grocery Store   \n",
       "10                       Aquarium                  Café   \n",
       "11                    Coffee Shop           Men's Store   \n",
       "12                    Coffee Shop    Italian Restaurant   \n",
       "13                          Hotel            Restaurant   \n",
       "14                      Nightclub           Coffee Shop   \n",
       "15               Sushi Restaurant     Fish & Chips Shop   \n",
       "16                     Restaurant                 Hotel   \n",
       "17            American Restaurant                Bakery   \n",
       "20                 Sandwich Place                  Park   \n",
       "22                Thai Restaurant                   Bar   \n",
       "23                 Clothing Store           Yoga Studio   \n",
       "24                           Café           Coffee Shop   \n",
       "25                      Gift Shop             Bookstore   \n",
       "26                   Dessert Shop           Pizza Place   \n",
       "27                      Bookstore                   Bar   \n",
       "28                           Café      Sushi Restaurant   \n",
       "30  Vegetarian / Vegan Restaurant           Coffee Shop   \n",
       "31                    Pizza Place    Light Rail Station   \n",
       "32                Airport Service              Boutique   \n",
       "34             Italian Restaurant                 Hotel   \n",
       "35                     Restaurant           Pizza Place   \n",
       "36                           Café                 Hotel   \n",
       "37            Japanese Restaurant               Gay Bar   \n",
       "38                  Auto Workshop            Comic Shop   \n",
       "\n",
       "    4th Most Common Venue   5th Most Common Venue      6th Most Common Venue  \\\n",
       "0                    Park          Breakfast Spot                       Café   \n",
       "1           Smoothie Shop          Sandwich Place                 Restaurant   \n",
       "2         Bubble Tea Shop     Japanese Restaurant             Cosmetics Shop   \n",
       "3              Restaurant               Gastropub        American Restaurant   \n",
       "5                  Bakery                Beer Bar             Farmers Market   \n",
       "6      Italian Restaurant             Salad Place           Department Store   \n",
       "7             Coffee Shop              Restaurant         Athletics & Sports   \n",
       "8                     Gym         Thai Restaurant             Clothing Store   \n",
       "9                    Park                 Brewery  Middle Eastern Restaurant   \n",
       "10                  Hotel     Fried Chicken Joint                    Brewery   \n",
       "11  Vietnamese Restaurant              Restaurant                       Café   \n",
       "12             Restaurant          Ice Cream Shop     Furniture / Home Store   \n",
       "13                   Café      Seafood Restaurant                Salad Place   \n",
       "14         Breakfast Spot           Grocery Store               Intersection   \n",
       "15             Steakhouse                     Pub                    Brewery   \n",
       "16                   Café                     Gym              Deli / Bodega   \n",
       "17                Brewery                    Café                  Gastropub   \n",
       "20       Department Store          Breakfast Spot               Dance Studio   \n",
       "22     Mexican Restaurant                    Park     Furniture / Home Store   \n",
       "23             Bagel Shop  Furniture / Home Store             Ice Cream Shop   \n",
       "24                   Park                     Pub               Liquor Store   \n",
       "25          Movie Theater      Italian Restaurant                        Bar   \n",
       "26                   Café      Italian Restaurant                        Gym   \n",
       "27    Japanese Restaurant          Sandwich Place                     Bakery   \n",
       "28     Italian Restaurant                     Pub                Pizza Place   \n",
       "30                   Café      Mexican Restaurant      Vietnamese Restaurant   \n",
       "31           Liquor Store              Restaurant                       Bank   \n",
       "32                  Plane                 Airport         Airport Food Court   \n",
       "34                    Pub                    Café                 Restaurant   \n",
       "35                   Café      Italian Restaurant         Chinese Restaurant   \n",
       "36             Restaurant                     Gym        Japanese Restaurant   \n",
       "37       Sushi Restaurant              Restaurant                        Pub   \n",
       "38                   Park             Pizza Place           Recording Studio   \n",
       "\n",
       "   7th Most Common Venue     8th Most Common Venue      9th Most Common Venue  \\\n",
       "0                Theater               Yoga Studio                Event Space   \n",
       "1                   Café     Portuguese Restaurant         Chinese Restaurant   \n",
       "2                  Hotel                 Bookstore                Pizza Place   \n",
       "3               Beer Bar                       Gym        Moroccan Restaurant   \n",
       "5             Restaurant               Cheese Shop         Basketball Stadium   \n",
       "6        Thai Restaurant              Burger Joint            Bubble Tea Shop   \n",
       "7     Italian Restaurant               Candy Store                 Baby Store   \n",
       "8                  Hotel                       Bar        American Restaurant   \n",
       "9                   Bank               Music Venue                Supermarket   \n",
       "10           Pizza Place            Scenic Lookout                 Restaurant   \n",
       "11      Asian Restaurant               Record Shop                Pizza Place   \n",
       "12             Bookstore                 Juice Bar                        Spa   \n",
       "13   Japanese Restaurant       American Restaurant                   Beer Bar   \n",
       "14                   Bar                    Bakery         Italian Restaurant   \n",
       "15  Fast Food Restaurant        Italian Restaurant                 Restaurant   \n",
       "16    Seafood Restaurant       American Restaurant        Japanese Restaurant   \n",
       "17           Yoga Studio               Fish Market                       Park   \n",
       "20                 Hotel                   Dog Run          Food & Drink Shop   \n",
       "22             Bookstore      Fast Food Restaurant  Cajun / Creole Restaurant   \n",
       "23  Fast Food Restaurant                     Diner         Mexican Restaurant   \n",
       "24            Donut Shop              Burger Joint          Indian Restaurant   \n",
       "25          Dessert Shop                   Dog Run           Cuban Restaurant   \n",
       "26           Coffee Shop          Sushi Restaurant                   Pharmacy   \n",
       "27           Yoga Studio                       Pub                   Beer Bar   \n",
       "28          Dessert Shop             Smoothie Shop                  Bookstore   \n",
       "30                Bakery       Dumpling Restaurant               Dessert Shop   \n",
       "31            Bagel Shop                       Pub                Supermarket   \n",
       "32          Airport Gate          Airport Terminal                        Bar   \n",
       "34    Seafood Restaurant                  Beer Bar        Japanese Restaurant   \n",
       "35                  Park                    Market                     Bakery   \n",
       "36           Salad Place       American Restaurant           Asian Restaurant   \n",
       "37           Men's Store  Mediterranean Restaurant                      Hotel   \n",
       "38            Restaurant                   Butcher              Burrito Place   \n",
       "\n",
       "         10th Most Common Venue  \n",
       "0                    Restaurant  \n",
       "1                          Park  \n",
       "2     Middle Eastern Restaurant  \n",
       "3              Department Store  \n",
       "5           Sporting Goods Shop  \n",
       "6           Japanese Restaurant  \n",
       "7                     Nightclub  \n",
       "8                     Juice Bar  \n",
       "9                           Bar  \n",
       "10                        Plaza  \n",
       "11                         Park  \n",
       "12                          Pub  \n",
       "13             Asian Restaurant  \n",
       "14                 Climbing Gym  \n",
       "15                  Pizza Place  \n",
       "16           Italian Restaurant  \n",
       "17                 Neighborhood  \n",
       "20          Distribution Center  \n",
       "22           Italian Restaurant  \n",
       "23           Chinese Restaurant  \n",
       "24    Middle Eastern Restaurant  \n",
       "25  Eastern European Restaurant  \n",
       "26            Indian Restaurant  \n",
       "27                   Beer Store  \n",
       "28               Sandwich Place  \n",
       "30                Grocery Store  \n",
       "31          Fried Chicken Joint  \n",
       "32              Harbor / Marina  \n",
       "34               Breakfast Spot  \n",
       "35                          Pub  \n",
       "36                   Steakhouse  \n",
       "37                  Yoga Studio  \n",
       "38                      Brewery  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 4 - Pub"
   ]
  },
  {
   "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>Neighborhoods</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Neighborhood</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Neighborhoods 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "4   The Beaches                   Pub     Health Food Store   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "4                 Trail          Neighborhood           Yoga Studio   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "4   Distribution Center    Dim Sum Restaurant                 Diner   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "4        Discount Store       Doner Restaurant  "
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 3, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 5 - Music Venue"
   ]
  },
  {
   "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>Neighborhoods</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Escape Room</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Neighborhoods 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "19      Roselawn           Music Venue                Garden   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "19           Yoga Studio          Dessert Shop  Ethiopian Restaurant   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue        8th Most Common Venue  \\\n",
       "19           Escape Room     Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "19   Dumpling Restaurant             Donut Shop  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 4, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This summaries the analysis of the neighborhoods in the boroughs that contain the word 'Toronot'."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Thank You!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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