Segmenting_and_Clustering_Neighborhoods_in_Toronto.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "<img align=\"center\" src=\"https://media.cntraveler.com/photos/5b2c0684a98055277ea83e26/master/pass/CN-Tower_GettyImages-615764386.jpg\" alt=\"Toronto, CA\" width=\"500\"/>\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### In this notebook, I will explore and cluster the neighborhoods in Toronto.\n",
    "- I will use  to build the code to scrape the following Wikipedia page, https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M, in order to obtain the data that is in the table of postal codes and to transform the data into a pandas dataframe "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> In particular, let's use Beautifulsoup package to scrape data from the html size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: beautifulsoup4 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (4.9.1)\n",
      "Requirement already satisfied: soupsieve>1.2 in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (from beautifulsoup4) (2.0.1)\n",
      "Requirement already satisfied: lxml in /home/jupyterlab/conda/envs/python/lib/python3.6/site-packages (4.5.2)\n"
     ]
    }
   ],
   "source": [
    "!pip install beautifulsoup4\n",
    "!pip install lxml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import libraries\n",
    "from bs4 import BeautifulSoup as bs\n",
    "import requests\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = requests.get('https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M').text\n",
    "soup = bs(url)\n",
    "table = soup.find('table')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Postal Code\n",
      "\n",
      "Borough\n",
      "\n",
      "Neighbourhood\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Check table's columns (table_row_text)\n",
    "print(table.tr.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [PostalCode, Borough, Neighborhood]\n",
       "Index: []"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create an empty dataframe that consists of three columns 'PostalCode', 'Borough', 'Neighborhood'\n",
    "columns_names = ['PostalCode', 'Borough', 'Neighborhood']\n",
    "df = pd.DataFrame(columns = columns_names)\n",
    "\n",
    "#Check if our dataframe is correct\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Convert the data into panda dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Search through the data for PostalCode, Borough and Neighborhood\n",
    "# Get all values in table_row\n",
    "for tr in table.find_all('tr'):\n",
    "    row=[] #create an empty table to assign values in table_data\n",
    "    for td in tr.find_all('td'): #search through td\n",
    "        row.append(td.text.strip()) #append each value of td into the table and strip space and new line\n",
    "    if len(row)==3: \n",
    "        df.loc[len(df)] = row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(180, 3)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode           Borough               Neighborhood\n",
       "0        M1A      Not assigned               Not assigned\n",
       "1        M2A      Not assigned               Not assigned\n",
       "2        M3A        North York                  Parkwoods\n",
       "3        M4A        North York           Victoria Village\n",
       "4        M5A  Downtown Toronto  Regent Park, Harbourfront"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Let's save the df\n",
    "df.to_csv('toronto.csv' , header = None)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">**Now we have our data set, let's clean it**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Only process the cells that have an assigned borough. Ignore cells with a borough that is Not assigned.\n",
    "df.drop(df[df['Borough'] == 'Not assigned'].index, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "#If a cell has a borough but a Not assigned neighborhood, then the neighborhood will be the same as the borough.\n",
    "df.loc[df['Neighborhood'] == 'Not assigned' , 'Neighborhood'] = df['Borough']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(103, 3)\n"
     ]
    },
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode      Borough                            Neighborhood\n",
       "0        M1B  Scarborough                          Malvern, Rouge\n",
       "1        M1C  Scarborough  Rouge Hill, Port Union, Highland Creek\n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill\n",
       "3        M1G  Scarborough                                  Woburn\n",
       "4        M1H  Scarborough                               Cedarbrae"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#rows will be same postalcode will combined into one row with the neighborhoods separated with a comma\n",
    "df_temp = df.groupby(['PostalCode','Borough'])['Neighborhood'].apply(lambda x: \"%s\" % ', '.join(x))\n",
    "df_temp = df_temp.reset_index()\n",
    "print(df_temp.shape)\n",
    "df_temp.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(103, 3)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode      Borough                            Neighborhood\n",
       "0        M1B  Scarborough                          Malvern, Rouge\n",
       "1        M1C  Scarborough  Rouge Hill, Port Union, Highland Creek\n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill\n",
       "3        M1G  Scarborough                                  Woburn\n",
       "4        M1H  Scarborough                               Cedarbrae"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's get shape of the table and the first five rows\n",
    "df = df_temp\n",
    "print(df.shape)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Question 2: getting the geographical coordinates of Toronto's boroughs and neighborhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Let's read in Toronto Geospatial Coordinates from this link 'http://cocl.us/Geospatial_data'**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Postal Code   Latitude  Longitude\n",
       "0         M1B  43.806686 -79.194353\n",
       "1         M1C  43.784535 -79.160497\n",
       "2         M1E  43.763573 -79.188711\n",
       "3         M1G  43.770992 -79.216917\n",
       "4         M1H  43.773136 -79.239476"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geo_df = pd.read_csv('http://cocl.us/Geospatial_data')\n",
    "geo_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Now we concatenate our dataframe with geo_df**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>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>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\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>Scarborough</td>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\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>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\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>Scarborough</td>\n",
       "      <td>Woburn</td>\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>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>M1H</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode      Borough                            Neighborhood Postal Code  \\\n",
       "0        M1B  Scarborough                          Malvern, Rouge         M1B   \n",
       "1        M1C  Scarborough  Rouge Hill, Port Union, Highland Creek         M1C   \n",
       "2        M1E  Scarborough       Guildwood, Morningside, West Hill         M1E   \n",
       "3        M1G  Scarborough                                  Woburn         M1G   \n",
       "4        M1H  Scarborough                               Cedarbrae         M1H   \n",
       "\n",
       "    Latitude  Longitude  \n",
       "0  43.806686 -79.194353  \n",
       "1  43.784535 -79.160497  \n",
       "2  43.763573 -79.188711  \n",
       "3  43.770992 -79.216917  \n",
       "4  43.773136 -79.239476  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df = pd.concat([df, geo_df], axis = 1)\n",
    "new_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Drop column 'Postal Code'**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(103, 5)\n"
     ]
    },
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       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "      <td>43.784535</td>\n",
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       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
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       "      <td>43.763573</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
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       "0        M1B  Scarborough                          Malvern, Rouge  43.806686   \n",
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       "2        M1E  Scarborough       Guildwood, Morningside, West Hill  43.763573   \n",
       "3        M1G  Scarborough                                  Woburn  43.770992   \n",
       "4        M1H  Scarborough                               Cedarbrae  43.773136   \n",
       "\n",
       "   Longitude  \n",
       "0 -79.194353  \n",
       "1 -79.160497  \n",
       "2 -79.188711  \n",
       "3 -79.216917  \n",
       "4 -79.239476  "
      ]
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     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "new_df.drop(['Postal Code'], axis = 1, inplace = True)\n",
    "print(new_df.shape)\n",
    "new_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">Now we have the new dataframe with latitude and longtitude, let's pursue the next question: **Explore and cluster the neighborhoods in Toronto.**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will use the Foursquare API to explore neighborhoods in Toronto City. We will use the *explore* function to get the most common venue categories in each neighborhood, and then use this feature to group the neighborhoods into clusters. We will use the k-means clustering algorithm to complete this task. Finally, we will use the Folium library to visualize the neighborhoods in Toronto City and their emerging clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "import numpy as np # library to handle data in a vectorized manner\n",
    "\n",
    "import pandas as pd # library for data analsysis\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "import json # library to handle JSON files\n",
    "\n",
    "#!conda install -c conda-forge geopy --yes # uncomment this line if we haven't installed geopy yet\n",
    "from geopy.geocoders import Nominatim # convert an address into latitude and longitude values\n",
    "\n",
    "import requests # library to handle requests\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",
    "\n",
    "#!conda install -c conda-forge folium=0.5.0 --yes # uncomment this line if we haven't installed folium yet\n",
    "import folium # map rendering library\n",
    "\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Use geopy library to get the latitude and longitude values of Toronto City.\n",
    "- Then we define a user_agent, namely trt_explorer, to define an instance of the geocoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of Toronto City are 43.6534817, -79.3839347.\n"
     ]
    }
   ],
   "source": [
    "address = 'Toronto'\n",
    "\n",
    "geolocator = Nominatim(user_agent=\"trt_explorer\")\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of Toronto City are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Visualize the map of Toronto's neighborhoods**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fcdcc210748>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of Toronto using latitude and longitude values\n",
    "map_toronto = folium.Map(location=[latitude, longitude], zoom_start=10)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, borough, neighborhood in zip(new_df['Latitude'], new_df['Longitude'], new_df['Borough'], new_df['Neighborhood']):\n",
    "    label = '{}, {}'.format(neighborhood, borough)\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='yellow',\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": [
    "#### Now let's import Foursquare ID credentials and version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Your credentails:\n",
      "CLIENT_ID: VP20C5A3F11IKFP113UKD034OSLD1352NCLAISJYYE0UKKAE\n",
      "CLIENT_SECRET:2ANW2CSUTTLD1J04FNQIHSKW2A3RYOBY4O0IYD1DPMM0NDCH\n",
      "ACCESS TOKEN :TLW3H3WI2LGI25ENBZG3QG1ASOC4WCPJJBC5XRJYB5PNRQQB\n"
     ]
    }
   ],
   "source": [
    "CLIENT_ID = 'VP20C5A3F11IKFP113UKD034OSLD1352NCLAISJYYE0UKKAE' \n",
    "CLIENT_SECRET = '2ANW2CSUTTLD1J04FNQIHSKW2A3RYOBY4O0IYD1DPMM0NDCH' \n",
    "ACCESS_TOKEN = 'TLW3H3WI2LGI25ENBZG3QG1ASOC4WCPJJBC5XRJYB5PNRQQB'\n",
    "\n",
    "VERSION = '20180604'\n",
    "\n",
    "print('Your credentails:')\n",
    "print('CLIENT_ID: ' + CLIENT_ID)\n",
    "print('CLIENT_SECRET:' + CLIENT_SECRET)\n",
    "print('ACCESS TOKEN :' + ACCESS_TOKEN)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Let's explore a neighborhood of Toronto and since my favorite number is 7, let's check out the 7th neighborhood in our dataframe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Kennedy Park, Ionview, East Birchmount Park'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_df.loc[6, 'Neighborhood'] #Since python index starts at 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Get the lat and long of this neighborhood**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Latitude and longitude values of Kennedy Park, Ionview, East Birchmount Park are 43.7279292, -79.26202940000002.\n"
     ]
    }
   ],
   "source": [
    "neighborhood_latitude = new_df.loc[6, 'Latitude'] # neighborhood latitude value\n",
    "neighborhood_longitude = new_df.loc[6, 'Longitude'] # neighborhood longitude value\n",
    "\n",
    "neighborhood_name = new_df.loc[6, 'Neighborhood'] # neighborhood name\n",
    "\n",
    "print('Latitude and longitude values of {} are {}, {}.'.format(neighborhood_name, \n",
    "                                                               neighborhood_latitude, \n",
    "                                                               neighborhood_longitude))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Now, let's get the top 20 venues that are in Kennedy Park, Ionview, East Birchmount Park within a radius of 500 meters.\n",
    "- First, let's create the GET request URL. Name your URL url."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://api.foursquare.com/v2/venues/explore?&client_id=VP20C5A3F11IKFP113UKD034OSLD1352NCLAISJYYE0UKKAE&client_secret=2ANW2CSUTTLD1J04FNQIHSKW2A3RYOBY4O0IYD1DPMM0NDCH&v=20180604&ll=43.7279292,-79.26202940000002&radius=500&limit=100'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LIMIT = 100 # limit of number of venues returned by Foursquare API\n",
    "\n",
    "radius = 500 # define radius\n",
    "\n",
    " # create URL using explore \n",
    "url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "    CLIENT_ID, \n",
    "    CLIENT_SECRET, \n",
    "    VERSION, \n",
    "    neighborhood_latitude, \n",
    "    neighborhood_longitude, \n",
    "    radius, \n",
    "    LIMIT)\n",
    "url # display URL"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Send the GET request and examine the resutls."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'meta': {'code': 200, 'requestId': '5f2a01d75b5de7522fa65739'},\n",
       " 'response': {'suggestedFilters': {'header': 'Tap to show:',\n",
       "   'filters': [{'name': 'Open now', 'key': 'openNow'}]},\n",
       "  'headerLocation': 'Toronto',\n",
       "  'headerFullLocation': 'Toronto',\n",
       "  'headerLocationGranularity': 'city',\n",
       "  'totalResults': 7,\n",
       "  'suggestedBounds': {'ne': {'lat': 43.7324292045, 'lng': -79.25581377000155},\n",
       "   'sw': {'lat': 43.723429195499996, 'lng': -79.26824502999848}},\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': '4b6a37ccf964a520a5cd2be3',\n",
       "       'name': 'Giant Tiger',\n",
       "       'location': {'address': '682 Kennedy Road',\n",
       "        'crossStreet': 'Eglinton Ave. E.',\n",
       "        'lat': 43.72744662939136,\n",
       "        'lng': -79.26624035854763,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.72744662939136,\n",
       "          'lng': -79.26624035854763}],\n",
       "        'distance': 342,\n",
       "        'postalCode': 'M1K 2B5',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Scarborough',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['682 Kennedy Road (Eglinton Ave. E.)',\n",
       "         'Scarborough ON M1K 2B5',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1f6941735',\n",
       "         'name': 'Department Store',\n",
       "         'pluralName': 'Department Stores',\n",
       "         'shortName': 'Department Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/departmentstore_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4b6a37ccf964a520a5cd2be3-0'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4c6aa500c946e21ec432ed8e',\n",
       "       'name': 'Tim Hortons',\n",
       "       'location': {'address': '678-682 Kennedy Rd',\n",
       "        'lat': 43.72689508691926,\n",
       "        'lng': -79.26615692675114,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.72689508691926,\n",
       "          'lng': -79.26615692675114}],\n",
       "        'distance': 351,\n",
       "        'postalCode': 'M1K 2B5',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Scarborough',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['678-682 Kennedy Rd',\n",
       "         'Scarborough ON M1K 2B5',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1e0931735',\n",
       "         'name': 'Coffee Shop',\n",
       "         'pluralName': 'Coffee Shops',\n",
       "         'shortName': 'Coffee Shop',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/coffeeshop_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4c6aa500c946e21ec432ed8e-1'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4f1b1a8fe4b0838231c3badb',\n",
       "       'name': 'Bros. CONVENIENCE',\n",
       "       'location': {'lat': 43.72778143829621,\n",
       "        'lng': -79.26570835903846,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.72778143829621,\n",
       "          'lng': -79.26570835903846}],\n",
       "        'distance': 296,\n",
       "        'cc': 'CA',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Canada']},\n",
       "       'categories': [{'id': '4d954b0ea243a5684a65b473',\n",
       "         'name': 'Convenience Store',\n",
       "         'pluralName': 'Convenience Stores',\n",
       "         'shortName': 'Convenience Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/conveniencestore_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4f1b1a8fe4b0838231c3badb-2'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4dc158bd52b1877d85b172c8',\n",
       "       'name': 'Dollarama',\n",
       "       'location': {'address': '680 Kennedy Rd',\n",
       "        'crossStreet': 'at Merrian Rd.',\n",
       "        'lat': 43.727092,\n",
       "        'lng': -79.265784,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.727092,\n",
       "          'lng': -79.265784}],\n",
       "        'distance': 316,\n",
       "        'postalCode': 'M1K 2B5',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['680 Kennedy Rd (at Merrian Rd.)',\n",
       "         'Toronto ON M1K 2B5',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '52dea92d3cf9994f4e043dbb',\n",
       "         'name': 'Discount Store',\n",
       "         'pluralName': 'Discount Stores',\n",
       "         'shortName': 'Discount Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/discountstore_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4dc158bd52b1877d85b172c8-3'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '555d2742498e3524508bc7c6',\n",
       "       'name': 'Hakka No.1',\n",
       "       'location': {'address': '682 Kennedy Road, Unit 1',\n",
       "        'lat': 43.72768846107342,\n",
       "        'lng': -79.26605655631751,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.72768846107342,\n",
       "          'lng': -79.26605655631751}],\n",
       "        'distance': 325,\n",
       "        'postalCode': 'M1K 2B5',\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['682 Kennedy Road, Unit 1',\n",
       "         'Toronto ON M1K 2B5',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d145941735',\n",
       "         'name': 'Chinese Restaurant',\n",
       "         'pluralName': 'Chinese Restaurants',\n",
       "         'shortName': 'Chinese',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/asian_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-555d2742498e3524508bc7c6-4'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '504759aee4b008d1e233f15b',\n",
       "       'name': 'Dollarama',\n",
       "       'location': {'lat': 43.72659620252377,\n",
       "        'lng': -79.26682995710473,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.72659620252377,\n",
       "          'lng': -79.26682995710473}],\n",
       "        'distance': 413,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Toronto',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Toronto ON', 'Canada']},\n",
       "       'categories': [{'id': '52dea92d3cf9994f4e043dbb',\n",
       "         'name': 'Discount Store',\n",
       "         'pluralName': 'Discount Stores',\n",
       "         'shortName': 'Discount Store',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/shops/discountstore_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-504759aee4b008d1e233f15b-5'},\n",
       "     {'reasons': {'count': 0,\n",
       "       'items': [{'summary': 'This spot is popular',\n",
       "         'type': 'general',\n",
       "         'reasonName': 'globalInteractionReason'}]},\n",
       "      'venue': {'id': '4fcd2fb8e4b0ad6f4e7d52b9',\n",
       "       'name': 'Kennedy Station Passenger Pickup',\n",
       "       'location': {'address': 'Eglinton',\n",
       "        'crossStreet': 'Kennedy',\n",
       "        'lat': 43.73200926072711,\n",
       "        'lng': -79.26453709017373,\n",
       "        'labeledLatLngs': [{'label': 'display',\n",
       "          'lat': 43.73200926072711,\n",
       "          'lng': -79.26453709017373}],\n",
       "        'distance': 496,\n",
       "        'cc': 'CA',\n",
       "        'city': 'Scarborough',\n",
       "        'state': 'ON',\n",
       "        'country': 'Canada',\n",
       "        'formattedAddress': ['Eglinton (Kennedy)',\n",
       "         'Scarborough ON',\n",
       "         'Canada']},\n",
       "       'categories': [{'id': '4bf58dd8d48988d1fe931735',\n",
       "         'name': 'Bus Station',\n",
       "         'pluralName': 'Bus Stations',\n",
       "         'shortName': 'Bus Station',\n",
       "         'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/travel/busstation_',\n",
       "          'suffix': '.png'},\n",
       "         'primary': True}],\n",
       "       'photos': {'count': 0, 'groups': []}},\n",
       "      'referralId': 'e-0-4fcd2fb8e4b0ad6f4e7d52b9-6'}]}]}}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results = requests.get(url).json()\n",
    "results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7 venues were returned by Foursquare.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>Giant Tiger</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>43.727447</td>\n",
       "      <td>-79.266240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Tim Hortons</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>43.726895</td>\n",
       "      <td>-79.266157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bros. CONVENIENCE</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>43.727781</td>\n",
       "      <td>-79.265708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dollarama</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>43.727092</td>\n",
       "      <td>-79.265784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hakka No.1</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>43.727688</td>\n",
       "      <td>-79.266057</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                name          categories        lat        lng\n",
       "0        Giant Tiger    Department Store  43.727447 -79.266240\n",
       "1        Tim Hortons         Coffee Shop  43.726895 -79.266157\n",
       "2  Bros. CONVENIENCE   Convenience Store  43.727781 -79.265708\n",
       "3          Dollarama      Discount Store  43.727092 -79.265784\n",
       "4         Hakka No.1  Chinese Restaurant  43.727688 -79.266057"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "venues = results['response']['groups'][0]['items']\n",
    "    \n",
    "nearby_venues = pd.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",
    "print('{} venues were returned by Foursquare.'.format(nearby_venues.shape[0]))\n",
    "nearby_venues.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now let's explore the neighborhood of Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Let's start by defining the getNearbyVenues function to explore the nearby venues of Toronto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=500):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now we write the code to run the above function on each neighborhood and create a new dataframe called *toronto_venues*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Malvern, Rouge\n",
      "Rouge Hill, Port Union, Highland Creek\n",
      "Guildwood, Morningside, West Hill\n",
      "Woburn\n",
      "Cedarbrae\n",
      "Scarborough Village\n",
      "Kennedy Park, Ionview, East Birchmount Park\n",
      "Golden Mile, Clairlea, Oakridge\n",
      "Cliffside, Cliffcrest, Scarborough Village West\n",
      "Birch Cliff, Cliffside West\n",
      "Dorset Park, Wexford Heights, Scarborough Town Centre\n",
      "Wexford, Maryvale\n",
      "Agincourt\n",
      "Clarks Corners, Tam O'Shanter, Sullivan\n",
      "Milliken, Agincourt North, Steeles East, L'Amoreaux East\n",
      "Steeles West, L'Amoreaux West\n",
      "Upper Rouge\n",
      "Hillcrest Village\n",
      "Fairview, Henry Farm, Oriole\n",
      "Bayview Village\n",
      "York Mills, Silver Hills\n",
      "Willowdale, Newtonbrook\n",
      "Willowdale, Willowdale East\n",
      "York Mills West\n",
      "Willowdale, Willowdale West\n",
      "Parkwoods\n",
      "Don Mills\n",
      "Don Mills\n",
      "Bathurst Manor, Wilson Heights, Downsview North\n",
      "Northwood Park, York University\n",
      "Downsview\n",
      "Downsview\n",
      "Downsview\n",
      "Downsview\n",
      "Victoria Village\n",
      "Parkview Hill, Woodbine Gardens\n",
      "Woodbine Heights\n",
      "The Beaches\n",
      "Leaside\n",
      "Thorncliffe Park\n",
      "East Toronto, Broadview North (Old East York)\n",
      "The Danforth West, Riverdale\n",
      "India Bazaar, The Beaches West\n",
      "Studio District\n",
      "Lawrence Park\n",
      "Davisville North\n",
      "North Toronto West,  Lawrence Park\n",
      "Davisville\n",
      "Moore Park, Summerhill East\n",
      "Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park\n",
      "Rosedale\n",
      "St. James Town, Cabbagetown\n",
      "Church and Wellesley\n",
      "Regent Park, Harbourfront\n",
      "Garden District, Ryerson\n",
      "St. James Town\n",
      "Berczy Park\n",
      "Central Bay Street\n",
      "Richmond, Adelaide, King\n",
      "Harbourfront East, Union Station, Toronto Islands\n",
      "Toronto Dominion Centre, Design Exchange\n",
      "Commerce Court, Victoria Hotel\n",
      "Bedford Park, Lawrence Manor East\n",
      "Roselawn\n",
      "Forest Hill North & West, Forest Hill Road Park\n",
      "The Annex, North Midtown, Yorkville\n",
      "University of Toronto, Harbord\n",
      "Kensington Market, Chinatown, Grange Park\n",
      "CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport\n",
      "Stn A PO Boxes\n",
      "First Canadian Place, Underground city\n",
      "Lawrence Manor, Lawrence Heights\n",
      "Glencairn\n",
      "Humewood-Cedarvale\n",
      "Caledonia-Fairbanks\n",
      "Christie\n",
      "Dufferin, Dovercourt Village\n",
      "Little Portugal, Trinity\n",
      "Brockton, Parkdale Village, Exhibition Place\n",
      "North Park, Maple Leaf Park, Upwood Park\n",
      "Del Ray, Mount Dennis, Keelsdale and Silverthorn\n",
      "Runnymede, The Junction North\n",
      "High Park, The Junction South\n",
      "Parkdale, Roncesvalles\n",
      "Runnymede, Swansea\n",
      "Queen's Park, Ontario Provincial Government\n",
      "Canada Post Gateway Processing Centre\n",
      "Business reply mail Processing Centre, South Central Letter Processing Plant Toronto\n",
      "New Toronto, Mimico South, Humber Bay Shores\n",
      "Alderwood, Long Branch\n",
      "The Kingsway, Montgomery Road, Old Mill North\n",
      "Old Mill South, King's Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East\n",
      "Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West\n",
      "Islington Avenue, Humber Valley Village\n",
      "West Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale\n",
      "Eringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood\n",
      "Humber Summit\n",
      "Humberlea, Emery\n",
      "Weston\n",
      "Westmount\n",
      "Kingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens\n",
      "South Steeles, Silverstone, Humbergate, Jamestown, Mount Olive, Beaumond Heights, Thistletown, Albion Gardens\n",
      "Northwest, West Humber - Clairville\n"
     ]
    }
   ],
   "source": [
    "toronto_venues = getNearbyVenues(names=new_df['Neighborhood'],\n",
    "                                   latitudes=new_df['Latitude'],\n",
    "                                   longitudes=new_df['Longitude']\n",
    "                                  )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Check out the size of toronto_vanues df and its first few rows"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2162, 7)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\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>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "      <td>Wendy’s</td>\n",
       "      <td>43.807448</td>\n",
       "      <td>-79.199056</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>RIGHT WAY TO GOLF</td>\n",
       "      <td>43.785177</td>\n",
       "      <td>-79.161108</td>\n",
       "      <td>Golf Course</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>Great Shine Window Cleaning</td>\n",
       "      <td>43.783145</td>\n",
       "      <td>-79.157431</td>\n",
       "      <td>Home Service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>Royal Canadian Legion</td>\n",
       "      <td>43.782533</td>\n",
       "      <td>-79.163085</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>RBC Royal Bank</td>\n",
       "      <td>43.766790</td>\n",
       "      <td>-79.191151</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Neighborhood  Neighborhood Latitude  \\\n",
       "0                          Malvern, Rouge              43.806686   \n",
       "1  Rouge Hill, Port Union, Highland Creek              43.784535   \n",
       "2  Rouge Hill, Port Union, Highland Creek              43.784535   \n",
       "3  Rouge Hill, Port Union, Highland Creek              43.784535   \n",
       "4       Guildwood, Morningside, West Hill              43.763573   \n",
       "\n",
       "   Neighborhood Longitude                        Venue  Venue Latitude  \\\n",
       "0              -79.194353                      Wendy’s       43.807448   \n",
       "1              -79.160497            RIGHT WAY TO GOLF       43.785177   \n",
       "2              -79.160497  Great Shine Window Cleaning       43.783145   \n",
       "3              -79.160497        Royal Canadian Legion       43.782533   \n",
       "4              -79.188711               RBC Royal Bank       43.766790   \n",
       "\n",
       "   Venue Longitude        Venue Category  \n",
       "0       -79.199056  Fast Food Restaurant  \n",
       "1       -79.161108           Golf Course  \n",
       "2       -79.157431          Home Service  \n",
       "3       -79.163085                   Bar  \n",
       "4       -79.191151                  Bank  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(toronto_venues.shape)\n",
    "toronto_venues.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Check out to see how many venues each neighborhood has"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Total Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Agincourt</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Berczy Park</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Birch Cliff, Cliffside West</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Brockton, Parkdale Village, Exhibition Place</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Business reply mail Processing Centre, South C...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CN Tower, King and Spadina, Railway Lands, Har...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Caledonia-Fairbanks</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Canada Post Gateway Processing Centre</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Central Bay Street</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Christie</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Church and Wellesley</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Clarks Corners, Tam O'Shanter, Sullivan</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Cliffside, Cliffcrest, Scarborough Village West</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Commerce Court, Victoria Hotel</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Davisville</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Davisville North</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Del Ray, Mount Dennis, Keelsdale and Silverthorn</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Don Mills</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Dorset Park, Wexford Heights, Scarborough Town...</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Downsview</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Dufferin, Dovercourt Village</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>East Toronto, Broadview North (Old East York)</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Eringate, Bloordale Gardens, Old Burnhamthorpe...</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Fairview, Henry Farm, Oriole</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>First Canadian Place, Underground city</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Forest Hill North &amp; West, Forest Hill Road Park</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Garden District, Ryerson</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Glencairn</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Golden Mile, Clairlea, Oakridge</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Harbourfront East, Union Station, Toronto Islands</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>High Park, The Junction South</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Hillcrest Village</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Humber Summit</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Humberlea, Emery</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Humewood-Cedarvale</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>India Bazaar, The Beaches West</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Kennedy Park, Ionview, East Birchmount Park</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Kensington Market, Chinatown, Grange Park</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Kingsview Village, St. Phillips, Martin Grove ...</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Lawrence Manor, Lawrence Heights</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Lawrence Park</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Leaside</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Little Portugal, Trinity</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Milliken, Agincourt North, Steeles East, L'Amo...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Mimico NW, The Queensway West, South of Bloor,...</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Moore Park, Summerhill East</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>New Toronto, Mimico South, Humber Bay Shores</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>North Park, Maple Leaf Park, Upwood Park</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>North Toronto West,  Lawrence Park</td>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Northwest, West Humber - Clairville</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Northwood Park, York University</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Old Mill South, King's Mill Park, Sunnylea, Hu...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Parkdale, Roncesvalles</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Parkview Hill, Woodbine Gardens</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Parkwoods</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Queen's Park, Ontario Provincial Government</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Regent Park, Harbourfront</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Richmond, Adelaide, King</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Rosedale</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Roselawn</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Runnymede, Swansea</td>\n",
       "      <td>37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Runnymede, The Junction North</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>South Steeles, Silverstone, Humbergate, Jamest...</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>St. James Town</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>St. James Town, Cabbagetown</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Steeles West, L'Amoreaux West</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Stn A PO Boxes</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Studio District</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Summerhill West, Rathnelly, South Hill, Forest...</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>The Annex, North Midtown, Yorkville</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>The Beaches</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>The Danforth West, Riverdale</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>The Kingsway, Montgomery Road, Old Mill North</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Thorncliffe Park</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Toronto Dominion Centre, Design Exchange</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>University of Toronto, Harbord</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Victoria Village</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>West Deane Park, Princess Gardens, Martin Grov...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Westmount</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Weston</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Wexford, Maryvale</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Willowdale, Newtonbrook</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Willowdale, Willowdale East</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Willowdale, Willowdale West</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Woburn</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Woodbine Heights</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>York Mills West</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         Neighborhood  Total Venue\n",
       "0                                           Agincourt            5\n",
       "1                              Alderwood, Long Branch            8\n",
       "2     Bathurst Manor, Wilson Heights, Downsview North           23\n",
       "3                                     Bayview Village            4\n",
       "4                   Bedford Park, Lawrence Manor East           27\n",
       "5                                         Berczy Park           58\n",
       "6                         Birch Cliff, Cliffside West            4\n",
       "7        Brockton, Parkdale Village, Exhibition Place           23\n",
       "8   Business reply mail Processing Centre, South C...           17\n",
       "9   CN Tower, King and Spadina, Railway Lands, Har...           15\n",
       "10                                Caledonia-Fairbanks            4\n",
       "11              Canada Post Gateway Processing Centre           13\n",
       "12                                          Cedarbrae            9\n",
       "13                                 Central Bay Street           63\n",
       "14                                           Christie           16\n",
       "15                               Church and Wellesley           77\n",
       "16            Clarks Corners, Tam O'Shanter, Sullivan           13\n",
       "17    Cliffside, Cliffcrest, Scarborough Village West            3\n",
       "18                     Commerce Court, Victoria Hotel          100\n",
       "19                                         Davisville           34\n",
       "20                                   Davisville North            7\n",
       "21   Del Ray, Mount Dennis, Keelsdale and Silverthorn            5\n",
       "22                                          Don Mills           27\n",
       "23  Dorset Park, Wexford Heights, Scarborough Town...            6\n",
       "24                                          Downsview           17\n",
       "25                       Dufferin, Dovercourt Village           14\n",
       "26      East Toronto, Broadview North (Old East York)            4\n",
       "27  Eringate, Bloordale Gardens, Old Burnhamthorpe...            8\n",
       "28                       Fairview, Henry Farm, Oriole           66\n",
       "29             First Canadian Place, Underground city          100\n",
       "30    Forest Hill North & West, Forest Hill Road Park            4\n",
       "31                           Garden District, Ryerson          100\n",
       "32                                          Glencairn            4\n",
       "33                    Golden Mile, Clairlea, Oakridge           10\n",
       "34                  Guildwood, Morningside, West Hill            8\n",
       "35  Harbourfront East, Union Station, Toronto Islands          100\n",
       "36                      High Park, The Junction South           25\n",
       "37                                  Hillcrest Village            4\n",
       "38                                      Humber Summit            1\n",
       "39                                   Humberlea, Emery            2\n",
       "40                                 Humewood-Cedarvale            4\n",
       "41                     India Bazaar, The Beaches West           20\n",
       "42        Kennedy Park, Ionview, East Birchmount Park            7\n",
       "43          Kensington Market, Chinatown, Grange Park           64\n",
       "44  Kingsview Village, St. Phillips, Martin Grove ...            4\n",
       "45                   Lawrence Manor, Lawrence Heights           13\n",
       "46                                      Lawrence Park            4\n",
       "47                                            Leaside           33\n",
       "48                           Little Portugal, Trinity           48\n",
       "49                                     Malvern, Rouge            1\n",
       "50  Milliken, Agincourt North, Steeles East, L'Amo...            2\n",
       "51  Mimico NW, The Queensway West, South of Bloor,...           15\n",
       "52                        Moore Park, Summerhill East            4\n",
       "53       New Toronto, Mimico South, Humber Bay Shores           14\n",
       "54           North Park, Maple Leaf Park, Upwood Park            4\n",
       "55                 North Toronto West,  Lawrence Park           18\n",
       "56                Northwest, West Humber - Clairville            2\n",
       "57                    Northwood Park, York University            7\n",
       "58  Old Mill South, King's Mill Park, Sunnylea, Hu...            1\n",
       "59                             Parkdale, Roncesvalles           14\n",
       "60                    Parkview Hill, Woodbine Gardens           10\n",
       "61                                          Parkwoods            3\n",
       "62        Queen's Park, Ontario Provincial Government           34\n",
       "63                          Regent Park, Harbourfront           47\n",
       "64                           Richmond, Adelaide, King          100\n",
       "65                                           Rosedale            4\n",
       "66                                           Roselawn            2\n",
       "67             Rouge Hill, Port Union, Highland Creek            3\n",
       "68                                 Runnymede, Swansea           37\n",
       "69                      Runnymede, The Junction North            3\n",
       "70                                Scarborough Village            1\n",
       "71  South Steeles, Silverstone, Humbergate, Jamest...            9\n",
       "72                                     St. James Town           87\n",
       "73                        St. James Town, Cabbagetown           47\n",
       "74                      Steeles West, L'Amoreaux West           15\n",
       "75                                     Stn A PO Boxes           95\n",
       "76                                    Studio District           41\n",
       "77  Summerhill West, Rathnelly, South Hill, Forest...           17\n",
       "78                The Annex, North Midtown, Yorkville           21\n",
       "79                                        The Beaches            4\n",
       "80                       The Danforth West, Riverdale           42\n",
       "81      The Kingsway, Montgomery Road, Old Mill North            2\n",
       "82                                   Thorncliffe Park           24\n",
       "83           Toronto Dominion Centre, Design Exchange          100\n",
       "84                     University of Toronto, Harbord           35\n",
       "85                                   Victoria Village            4\n",
       "86  West Deane Park, Princess Gardens, Martin Grov...            1\n",
       "87                                          Westmount            7\n",
       "88                                             Weston            2\n",
       "89                                  Wexford, Maryvale            6\n",
       "90                            Willowdale, Newtonbrook            1\n",
       "91                        Willowdale, Willowdale East           34\n",
       "92                        Willowdale, Willowdale West            6\n",
       "93                                             Woburn            3\n",
       "94                                   Woodbine Heights            6\n",
       "95                                    York Mills West            2"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_venues_each_neighborhood = toronto_venues.groupby('Neighborhood').count().reset_index()\n",
    "toronto_venues_each_neighborhood[['Neighborhood','Total Venue']] = toronto_venues_each_neighborhood[['Neighborhood','Venue']]\n",
    "toronto_venues_each_neighborhood[['Neighborhood','Total Venue']]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Let's see how many unique venues were found"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 272 uniques categories.\n"
     ]
    }
   ],
   "source": [
    "print('There are {} uniques categories.'.format(len(toronto_venues['Venue Category'].unique())))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Analyze each neighborhood"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2162, 272)\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>Neighborhood</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Aquarium</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Art Museum</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>Auto Garage</th>\n",
       "      <th>Auto Workshop</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Baby Store</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Baseball Field</th>\n",
       "      <th>Baseball Stadium</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Basketball Stadium</th>\n",
       "      <th>Beach</th>\n",
       "      <th>Bed &amp; Breakfast</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Belgian Restaurant</th>\n",
       "      <th>Bike Shop</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Board Shop</th>\n",
       "      <th>Boat or Ferry</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Brazilian Restaurant</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Brewery</th>\n",
       "      <th>Bridal Shop</th>\n",
       "      <th>Bubble Tea Shop</th>\n",
       "      <th>Building</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Burrito Place</th>\n",
       "      <th>Bus Line</th>\n",
       "      <th>Bus Station</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Café</th>\n",
       "      <th>Cajun / Creole Restaurant</th>\n",
       "      <th>Camera Store</th>\n",
       "      <th>Candy Store</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Cheese Shop</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Chocolate Shop</th>\n",
       "      <th>Church</th>\n",
       "      <th>Climbing Gym</th>\n",
       "      <th>Clothing Store</th>\n",
       "      <th>Cocktail Bar</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Arts Building</th>\n",
       "      <th>College Auditorium</th>\n",
       "      <th>College Cafeteria</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>College Rec Center</th>\n",
       "      <th>College Stadium</th>\n",
       "      <th>Colombian Restaurant</th>\n",
       "      <th>Comfort Food Restaurant</th>\n",
       "      <th>Comic Shop</th>\n",
       "      <th>Concert Hall</th>\n",
       "      <th>Construction &amp; Landscaping</th>\n",
       "      <th>Convenience Store</th>\n",
       "      <th>Convention Center</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Coworking Space</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Cupcake Shop</th>\n",
       "      <th>Curling Ice</th>\n",
       "      <th>Dance Studio</th>\n",
       "      <th>Deli / Bodega</th>\n",
       "      <th>Department Store</th>\n",
       "      <th>Dessert Shop</th>\n",
       "      <th>Dim Sum Restaurant</th>\n",
       "      <th>Diner</th>\n",
       "      <th>Discount Store</th>\n",
       "      <th>Distribution Center</th>\n",
       "      <th>Dog Run</th>\n",
       "      <th>Doner Restaurant</th>\n",
       "      <th>Donut Shop</th>\n",
       "      <th>Drugstore</th>\n",
       "      <th>Dumpling Restaurant</th>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Ethiopian Restaurant</th>\n",
       "      <th>Event Space</th>\n",
       "      <th>Fabric Shop</th>\n",
       "      <th>Falafel Restaurant</th>\n",
       "      <th>Farmers Market</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Field</th>\n",
       "      <th>Filipino Restaurant</th>\n",
       "      <th>Fish &amp; Chips Shop</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Flea Market</th>\n",
       "      <th>Flower Shop</th>\n",
       "      <th>Food</th>\n",
       "      <th>Food &amp; Drink Shop</th>\n",
       "      <th>Food Court</th>\n",
       "      <th>Food Truck</th>\n",
       "      <th>Fountain</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Fried Chicken Joint</th>\n",
       "      <th>Frozen Yogurt Shop</th>\n",
       "      <th>Fruit &amp; Vegetable Store</th>\n",
       "      <th>Furniture / Home Store</th>\n",
       "      <th>Gaming Cafe</th>\n",
       "      <th>Garden</th>\n",
       "      <th>Garden Center</th>\n",
       "      <th>Gas Station</th>\n",
       "      <th>Gastropub</th>\n",
       "      <th>Gay Bar</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>General Travel</th>\n",
       "      <th>German Restaurant</th>\n",
       "      <th>Gift Shop</th>\n",
       "      <th>Gluten-free Restaurant</th>\n",
       "      <th>Golf Course</th>\n",
       "      <th>Gourmet Shop</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Grocery Store</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Hakka Restaurant</th>\n",
       "      <th>Harbor / Marina</th>\n",
       "      <th>Hardware Store</th>\n",
       "      <th>Health &amp; Beauty Service</th>\n",
       "      <th>Health Food Store</th>\n",
       "      <th>Historic Site</th>\n",
       "      <th>History Museum</th>\n",
       "      <th>Hobby Shop</th>\n",
       "      <th>Hockey Arena</th>\n",
       "      <th>Home Service</th>\n",
       "      <th>Hookah Bar</th>\n",
       "      <th>Hospital</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>Hotel Bar</th>\n",
       "      <th>Housing Development</th>\n",
       "      <th>IT Services</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Indie Movie Theater</th>\n",
       "      <th>Indonesian Restaurant</th>\n",
       "      <th>Intersection</th>\n",
       "      <th>Irish Pub</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Japanese Restaurant</th>\n",
       "      <th>Jazz Club</th>\n",
       "      <th>Jewelry Store</th>\n",
       "      <th>Juice Bar</th>\n",
       "      <th>Kids Store</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Lake</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Light Rail Station</th>\n",
       "      <th>Lingerie Store</th>\n",
       "      <th>Liquor Store</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Luggage Store</th>\n",
       "      <th>Market</th>\n",
       "      <th>Martial Arts Dojo</th>\n",
       "      <th>Massage Studio</th>\n",
       "      <th>Medical Center</th>\n",
       "      <th>Mediterranean Restaurant</th>\n",
       "      <th>Men's Store</th>\n",
       "      <th>Metro Station</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Miscellaneous Shop</th>\n",
       "      <th>Mobile Phone Shop</th>\n",
       "      <th>Modern European Restaurant</th>\n",
       "      <th>Molecular Gastronomy Restaurant</th>\n",
       "      <th>Monument / Landmark</th>\n",
       "      <th>Moroccan Restaurant</th>\n",
       "      <th>Motel</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Venue</th>\n",
       "      <th>Nail Salon</th>\n",
       "      <th>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>Opera House</th>\n",
       "      <th>Optical Shop</th>\n",
       "      <th>Organic Grocery</th>\n",
       "      <th>Other Great Outdoors</th>\n",
       "      <th>Outdoor Sculpture</th>\n",
       "      <th>Park</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Photography Studio</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Plane</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Portuguese Restaurant</th>\n",
       "      <th>Poutine Place</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Record Shop</th>\n",
       "      <th>Recording Studio</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>River</th>\n",
       "      <th>Roof Deck</th>\n",
       "      <th>Sake Bar</th>\n",
       "      <th>Salad Place</th>\n",
       "      <th>Salon / Barbershop</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Scenic Lookout</th>\n",
       "      <th>Sculpture Garden</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Shoe Store</th>\n",
       "      <th>Shopping Mall</th>\n",
       "      <th>Skate Park</th>\n",
       "      <th>Skating Rink</th>\n",
       "      <th>Smoke Shop</th>\n",
       "      <th>Smoothie Shop</th>\n",
       "      <th>Snack Place</th>\n",
       "      <th>Soccer Field</th>\n",
       "      <th>Social Club</th>\n",
       "      <th>Soup Place</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Stadium</th>\n",
       "      <th>Stationery Store</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Strip Club</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Supplement Shop</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Swim School</th>\n",
       "      <th>Taco Place</th>\n",
       "      <th>Tailor Shop</th>\n",
       "      <th>Taiwanese Restaurant</th>\n",
       "      <th>Tanning Salon</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Tennis Court</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Warehouse Store</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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>Guildwood, Morningside, West Hill</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <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",
       "</div>"
      ],
      "text/plain": [
       "                             Neighborhood  Accessories Store  \\\n",
       "0                          Malvern, Rouge                  0   \n",
       "1  Rouge Hill, Port Union, Highland Creek                  0   \n",
       "2  Rouge Hill, Port Union, Highland Creek                  0   \n",
       "3  Rouge Hill, Port Union, Highland Creek                  0   \n",
       "4       Guildwood, Morningside, West Hill                  0   \n",
       "\n",
       "   Afghan Restaurant  Airport  Airport Food Court  Airport Lounge  \\\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",
       "   Airport Service  Airport Terminal  American Restaurant  Antique Shop  \\\n",
       "0                0                 0                    0             0   \n",
       "1                0                 0                    0             0   \n",
       "2                0                 0                    0             0   \n",
       "3                0                 0                    0             0   \n",
       "4                0                 0                    0             0   \n",
       "\n",
       "   Aquarium  Art Gallery  Art Museum  Arts & Crafts Store  Asian Restaurant  \\\n",
       "0         0            0           0                    0                 0   \n",
       "1         0            0           0                    0                 0   \n",
       "2         0            0           0                    0                 0   \n",
       "3         0            0           0                    0                 0   \n",
       "4         0            0           0                    0                 0   \n",
       "\n",
       "   Athletics & Sports  Auto Garage  Auto Workshop  BBQ Joint  Baby Store  \\\n",
       "0                   0            0              0          0           0   \n",
       "1                   0            0              0          0           0   \n",
       "2                   0            0              0          0           0   \n",
       "3                   0            0              0          0           0   \n",
       "4                   0            0              0          0           0   \n",
       "\n",
       "   Bagel Shop  Bakery  Bank  Bar  Baseball Field  Baseball Stadium  \\\n",
       "0           0       0     0    0               0                 0   \n",
       "1           0       0     0    0               0                 0   \n",
       "2           0       0     0    0               0                 0   \n",
       "3           0       0     0    1               0                 0   \n",
       "4           0       0     1    0               0                 0   \n",
       "\n",
       "   Basketball Court  Basketball Stadium  Beach  Bed & Breakfast  Beer Bar  \\\n",
       "0                 0                   0      0                0         0   \n",
       "1                 0                   0      0                0         0   \n",
       "2                 0                   0      0                0         0   \n",
       "3                 0                   0      0                0         0   \n",
       "4                 0                   0      0                0         0   \n",
       "\n",
       "   Beer Store  Belgian Restaurant  Bike Shop  Bistro  Board Shop  \\\n",
       "0           0                   0          0       0           0   \n",
       "1           0                   0          0       0           0   \n",
       "2           0                   0          0       0           0   \n",
       "3           0                   0          0       0           0   \n",
       "4           0                   0          0       0           0   \n",
       "\n",
       "   Boat or Ferry  Bookstore  Boutique  Brazilian Restaurant  Breakfast Spot  \\\n",
       "0              0          0         0                     0               0   \n",
       "1              0          0         0                     0               0   \n",
       "2              0          0         0                     0               0   \n",
       "3              0          0         0                     0               0   \n",
       "4              0          0         0                     0               0   \n",
       "\n",
       "   Brewery  Bridal Shop  Bubble Tea Shop  Building  Burger Joint  \\\n",
       "0        0            0                0         0             0   \n",
       "1        0            0                0         0             0   \n",
       "2        0            0                0         0             0   \n",
       "3        0            0                0         0             0   \n",
       "4        0            0                0         0             0   \n",
       "\n",
       "   Burrito Place  Bus Line  Bus Station  Butcher  Café  \\\n",
       "0              0         0            0        0     0   \n",
       "1              0         0            0        0     0   \n",
       "2              0         0            0        0     0   \n",
       "3              0         0            0        0     0   \n",
       "4              0         0            0        0     0   \n",
       "\n",
       "   Cajun / Creole Restaurant  Camera Store  Candy Store  Caribbean Restaurant  \\\n",
       "0                          0             0            0                     0   \n",
       "1                          0             0            0                     0   \n",
       "2                          0             0            0                     0   \n",
       "3                          0             0            0                     0   \n",
       "4                          0             0            0                     0   \n",
       "\n",
       "   Cheese Shop  Chinese Restaurant  Chocolate Shop  Church  Climbing Gym  \\\n",
       "0            0                   0               0       0             0   \n",
       "1            0                   0               0       0             0   \n",
       "2            0                   0               0       0             0   \n",
       "3            0                   0               0       0             0   \n",
       "4            0                   0               0       0             0   \n",
       "\n",
       "   Clothing Store  Cocktail Bar  Coffee Shop  College Arts Building  \\\n",
       "0               0             0            0                      0   \n",
       "1               0             0            0                      0   \n",
       "2               0             0            0                      0   \n",
       "3               0             0            0                      0   \n",
       "4               0             0            0                      0   \n",
       "\n",
       "   College Auditorium  College Cafeteria  College Gym  College Rec Center  \\\n",
       "0                   0                  0            0                   0   \n",
       "1                   0                  0            0                   0   \n",
       "2                   0                  0            0                   0   \n",
       "3                   0                  0            0                   0   \n",
       "4                   0                  0            0                   0   \n",
       "\n",
       "   College Stadium  Colombian Restaurant  Comfort Food Restaurant  Comic Shop  \\\n",
       "0                0                     0                        0           0   \n",
       "1                0                     0                        0           0   \n",
       "2                0                     0                        0           0   \n",
       "3                0                     0                        0           0   \n",
       "4                0                     0                        0           0   \n",
       "\n",
       "   Concert Hall  Construction & Landscaping  Convenience Store  \\\n",
       "0             0                           0                  0   \n",
       "1             0                           0                  0   \n",
       "2             0                           0                  0   \n",
       "3             0                           0                  0   \n",
       "4             0                           0                  0   \n",
       "\n",
       "   Convention Center  Cosmetics Shop  Coworking Space  Creperie  \\\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",
       "   Cuban Restaurant  Cupcake Shop  Curling Ice  Dance Studio  Deli / Bodega  \\\n",
       "0                 0             0            0             0              0   \n",
       "1                 0             0            0             0              0   \n",
       "2                 0             0            0             0              0   \n",
       "3                 0             0            0             0              0   \n",
       "4                 0             0            0             0              0   \n",
       "\n",
       "   Department Store  Dessert Shop  Dim Sum Restaurant  Diner  Discount Store  \\\n",
       "0                 0             0                   0      0               0   \n",
       "1                 0             0                   0      0               0   \n",
       "2                 0             0                   0      0               0   \n",
       "3                 0             0                   0      0               0   \n",
       "4                 0             0                   0      0               0   \n",
       "\n",
       "   Distribution Center  Dog Run  Doner Restaurant  Donut Shop  Drugstore  \\\n",
       "0                    0        0                 0           0          0   \n",
       "1                    0        0                 0           0          0   \n",
       "2                    0        0                 0           0          0   \n",
       "3                    0        0                 0           0          0   \n",
       "4                    0        0                 0           0          0   \n",
       "\n",
       "   Dumpling Restaurant  Eastern European Restaurant  Electronics Store  \\\n",
       "0                    0                            0                  0   \n",
       "1                    0                            0                  0   \n",
       "2                    0                            0                  0   \n",
       "3                    0                            0                  0   \n",
       "4                    0                            0                  0   \n",
       "\n",
       "   Ethiopian Restaurant  Event Space  Fabric Shop  Falafel Restaurant  \\\n",
       "0                     0            0            0                   0   \n",
       "1                     0            0            0                   0   \n",
       "2                     0            0            0                   0   \n",
       "3                     0            0            0                   0   \n",
       "4                     0            0            0                   0   \n",
       "\n",
       "   Farmers Market  Fast Food Restaurant  Field  Filipino Restaurant  \\\n",
       "0               0                     1      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",
       "   Fish & Chips Shop  Fish Market  Flea Market  Flower Shop  Food  \\\n",
       "0                  0            0            0            0     0   \n",
       "1                  0            0            0            0     0   \n",
       "2                  0            0            0            0     0   \n",
       "3                  0            0            0            0     0   \n",
       "4                  0            0            0            0     0   \n",
       "\n",
       "   Food & Drink Shop  Food Court  Food Truck  Fountain  French Restaurant  \\\n",
       "0                  0           0           0         0                  0   \n",
       "1                  0           0           0         0                  0   \n",
       "2                  0           0           0         0                  0   \n",
       "3                  0           0           0         0                  0   \n",
       "4                  0           0           0         0                  0   \n",
       "\n",
       "   Fried Chicken Joint  Frozen Yogurt Shop  Fruit & Vegetable Store  \\\n",
       "0                    0                   0                        0   \n",
       "1                    0                   0                        0   \n",
       "2                    0                   0                        0   \n",
       "3                    0                   0                        0   \n",
       "4                    0                   0                        0   \n",
       "\n",
       "   Furniture / Home Store  Gaming Cafe  Garden  Garden Center  Gas Station  \\\n",
       "0                       0            0       0              0            0   \n",
       "1                       0            0       0              0            0   \n",
       "2                       0            0       0              0            0   \n",
       "3                       0            0       0              0            0   \n",
       "4                       0            0       0              0            0   \n",
       "\n",
       "   Gastropub  Gay Bar  General Entertainment  General Travel  \\\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",
       "   German Restaurant  Gift Shop  Gluten-free Restaurant  Golf Course  \\\n",
       "0                  0          0                       0            0   \n",
       "1                  0          0                       0            1   \n",
       "2                  0          0                       0            0   \n",
       "3                  0          0                       0            0   \n",
       "4                  0          0                       0            0   \n",
       "\n",
       "   Gourmet Shop  Greek Restaurant  Grocery Store  Gym  Gym / Fitness Center  \\\n",
       "0             0                 0              0    0                     0   \n",
       "1             0                 0              0    0                     0   \n",
       "2             0                 0              0    0                     0   \n",
       "3             0                 0              0    0                     0   \n",
       "4             0                 0              0    0                     0   \n",
       "\n",
       "   Hakka Restaurant  Harbor / Marina  Hardware Store  Health & Beauty Service  \\\n",
       "0                 0                0               0                        0   \n",
       "1                 0                0               0                        0   \n",
       "2                 0                0               0                        0   \n",
       "3                 0                0               0                        0   \n",
       "4                 0                0               0                        0   \n",
       "\n",
       "   Health Food Store  Historic Site  History Museum  Hobby Shop  Hockey Arena  \\\n",
       "0                  0              0               0           0             0   \n",
       "1                  0              0               0           0             0   \n",
       "2                  0              0               0           0             0   \n",
       "3                  0              0               0           0             0   \n",
       "4                  0              0               0           0             0   \n",
       "\n",
       "   Home Service  Hookah Bar  Hospital  Hotel  Hotel Bar  Housing Development  \\\n",
       "0             0           0         0      0          0                    0   \n",
       "1             0           0         0      0          0                    0   \n",
       "2             1           0         0      0          0                    0   \n",
       "3             0           0         0      0          0                    0   \n",
       "4             0           0         0      0          0                    0   \n",
       "\n",
       "   IT Services  Ice Cream Shop  Indian Restaurant  Indie Movie Theater  \\\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",
       "   Indonesian Restaurant  Intersection  Irish Pub  Italian Restaurant  \\\n",
       "0                      0             0          0                   0   \n",
       "1                      0             0          0                   0   \n",
       "2                      0             0          0                   0   \n",
       "3                      0             0          0                   0   \n",
       "4                      0             0          0                   0   \n",
       "\n",
       "   Japanese Restaurant  Jazz Club  Jewelry Store  Juice Bar  Kids Store  \\\n",
       "0                    0          0              0          0           0   \n",
       "1                    0          0              0          0           0   \n",
       "2                    0          0              0          0           0   \n",
       "3                    0          0              0          0           0   \n",
       "4                    0          0              0          0           0   \n",
       "\n",
       "   Korean Restaurant  Lake  Latin American Restaurant  Light Rail Station  \\\n",
       "0                  0     0                          0                   0   \n",
       "1                  0     0                          0                   0   \n",
       "2                  0     0                          0                   0   \n",
       "3                  0     0                          0                   0   \n",
       "4                  0     0                          0                   0   \n",
       "\n",
       "   Lingerie Store  Liquor Store  Lounge  Luggage Store  Market  \\\n",
       "0               0             0       0              0       0   \n",
       "1               0             0       0              0       0   \n",
       "2               0             0       0              0       0   \n",
       "3               0             0       0              0       0   \n",
       "4               0             0       0              0       0   \n",
       "\n",
       "   Martial Arts Dojo  Massage Studio  Medical Center  \\\n",
       "0                  0               0               0   \n",
       "1                  0               0               0   \n",
       "2                  0               0               0   \n",
       "3                  0               0               0   \n",
       "4                  0               0               0   \n",
       "\n",
       "   Mediterranean Restaurant  Men's Store  Metro Station  Mexican Restaurant  \\\n",
       "0                         0            0              0                   0   \n",
       "1                         0            0              0                   0   \n",
       "2                         0            0              0                   0   \n",
       "3                         0            0              0                   0   \n",
       "4                         0            0              0                   0   \n",
       "\n",
       "   Middle Eastern Restaurant  Miscellaneous Shop  Mobile Phone Shop  \\\n",
       "0                          0                   0                  0   \n",
       "1                          0                   0                  0   \n",
       "2                          0                   0                  0   \n",
       "3                          0                   0                  0   \n",
       "4                          0                   0                  0   \n",
       "\n",
       "   Modern European Restaurant  Molecular Gastronomy Restaurant  \\\n",
       "0                           0                                0   \n",
       "1                           0                                0   \n",
       "2                           0                                0   \n",
       "3                           0                                0   \n",
       "4                           0                                0   \n",
       "\n",
       "   Monument / Landmark  Moroccan Restaurant  Motel  Movie Theater  Museum  \\\n",
       "0                    0                    0      0              0       0   \n",
       "1                    0                    0      0              0       0   \n",
       "2                    0                    0      0              0       0   \n",
       "3                    0                    0      0              0       0   \n",
       "4                    0                    0      0              0       0   \n",
       "\n",
       "   Music Venue  Nail Salon  New American Restaurant  Nightclub  Noodle House  \\\n",
       "0            0           0                        0          0             0   \n",
       "1            0           0                        0          0             0   \n",
       "2            0           0                        0          0             0   \n",
       "3            0           0                        0          0             0   \n",
       "4            0           0                        0          0             0   \n",
       "\n",
       "   Office  Opera House  Optical Shop  Organic Grocery  Other Great Outdoors  \\\n",
       "0       0            0             0                0                     0   \n",
       "1       0            0             0                0                     0   \n",
       "2       0            0             0                0                     0   \n",
       "3       0            0             0                0                     0   \n",
       "4       0            0             0                0                     0   \n",
       "\n",
       "   Outdoor Sculpture  Park  Performing Arts Venue  Pet Store  Pharmacy  \\\n",
       "0                  0     0                      0          0         0   \n",
       "1                  0     0                      0          0         0   \n",
       "2                  0     0                      0          0         0   \n",
       "3                  0     0                      0          0         0   \n",
       "4                  0     0                      0          0         0   \n",
       "\n",
       "   Photography Studio  Pizza Place  Plane  Playground  Plaza  Poke Place  \\\n",
       "0                   0            0      0           0      0           0   \n",
       "1                   0            0      0           0      0           0   \n",
       "2                   0            0      0           0      0           0   \n",
       "3                   0            0      0           0      0           0   \n",
       "4                   0            0      0           0      0           0   \n",
       "\n",
       "   Pool  Portuguese Restaurant  Poutine Place  Pub  Ramen Restaurant  \\\n",
       "0     0                      0              0    0                 0   \n",
       "1     0                      0              0    0                 0   \n",
       "2     0                      0              0    0                 0   \n",
       "3     0                      0              0    0                 0   \n",
       "4     0                      0              0    0                 0   \n",
       "\n",
       "   Record Shop  Recording Studio  Rental Car Location  Restaurant  River  \\\n",
       "0            0                 0                    0           0      0   \n",
       "1            0                 0                    0           0      0   \n",
       "2            0                 0                    0           0      0   \n",
       "3            0                 0                    0           0      0   \n",
       "4            0                 0                    0           0      0   \n",
       "\n",
       "   Roof Deck  Sake Bar  Salad Place  Salon / Barbershop  Sandwich Place  \\\n",
       "0          0         0            0                   0               0   \n",
       "1          0         0            0                   0               0   \n",
       "2          0         0            0                   0               0   \n",
       "3          0         0            0                   0               0   \n",
       "4          0         0            0                   0               0   \n",
       "\n",
       "   Scenic Lookout  Sculpture Garden  Seafood Restaurant  Shoe 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",
       "   Shopping Mall  Skate Park  Skating Rink  Smoke Shop  Smoothie Shop  \\\n",
       "0              0           0             0           0              0   \n",
       "1              0           0             0           0              0   \n",
       "2              0           0             0           0              0   \n",
       "3              0           0             0           0              0   \n",
       "4              0           0             0           0              0   \n",
       "\n",
       "   Snack Place  Soccer Field  Social Club  Soup Place  Spa  Speakeasy  \\\n",
       "0            0             0            0           0    0          0   \n",
       "1            0             0            0           0    0          0   \n",
       "2            0             0            0           0    0          0   \n",
       "3            0             0            0           0    0          0   \n",
       "4            0             0            0           0    0          0   \n",
       "\n",
       "   Sporting Goods Shop  Sports Bar  Stadium  Stationery Store  Steakhouse  \\\n",
       "0                    0           0        0                 0           0   \n",
       "1                    0           0        0                 0           0   \n",
       "2                    0           0        0                 0           0   \n",
       "3                    0           0        0                 0           0   \n",
       "4                    0           0        0                 0           0   \n",
       "\n",
       "   Strip Club  Supermarket  Supplement Shop  Sushi Restaurant  Swim School  \\\n",
       "0           0            0                0                 0            0   \n",
       "1           0            0                0                 0            0   \n",
       "2           0            0                0                 0            0   \n",
       "3           0            0                0                 0            0   \n",
       "4           0            0                0                 0            0   \n",
       "\n",
       "   Taco Place  Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tea Room  \\\n",
       "0           0            0                     0              0         0   \n",
       "1           0            0                     0              0         0   \n",
       "2           0            0                     0              0         0   \n",
       "3           0            0                     0              0         0   \n",
       "4           0            0                     0              0         0   \n",
       "\n",
       "   Tennis Court  Thai Restaurant  Theater  Theme Restaurant  Toy / Game Store  \\\n",
       "0             0                0        0                 0                 0   \n",
       "1             0                0        0                 0                 0   \n",
       "2             0                0        0                 0                 0   \n",
       "3             0                0        0                 0                 0   \n",
       "4             0                0        0                 0                 0   \n",
       "\n",
       "   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",
       "   Video Store  Vietnamese Restaurant  Warehouse Store  Wine Bar  Wings Joint  \\\n",
       "0            0                      0                0         0            0   \n",
       "1            0                      0                0         0            0   \n",
       "2            0                      0                0         0            0   \n",
       "3            0                      0                0         0            0   \n",
       "4            0                      0                0         0            0   \n",
       "\n",
       "   Women's Store  Yoga Studio  \n",
       "0              0            0  \n",
       "1              0            0  \n",
       "2              0            0  \n",
       "3              0            0  \n",
       "4              0            0  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# one hot encoding\n",
    "toronto_onehot = pd.get_dummies(toronto_venues[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "#Drop the column Neighborhood and then insert it again to the first column\n",
    "toronto_onehot.drop(['Neighborhood'],axis=1,inplace=True) \n",
    "toronto_onehot.insert(loc=0, column='Neighborhood', value=toronto_venues['Neighborhood'] )\n",
    "\n",
    "print(toronto_onehot.shape)\n",
    "toronto_onehot.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Next, let's group rows by neighborhood and by taking the mean of the frequency of occurrence of each category"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(96, 272)\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>Neighborhood</th>\n",
       "      <th>Accessories Store</th>\n",
       "      <th>Afghan Restaurant</th>\n",
       "      <th>Airport</th>\n",
       "      <th>Airport Food Court</th>\n",
       "      <th>Airport Lounge</th>\n",
       "      <th>Airport Service</th>\n",
       "      <th>Airport Terminal</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Antique Shop</th>\n",
       "      <th>Aquarium</th>\n",
       "      <th>Art Gallery</th>\n",
       "      <th>Art Museum</th>\n",
       "      <th>Arts &amp; Crafts Store</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Athletics &amp; Sports</th>\n",
       "      <th>Auto Garage</th>\n",
       "      <th>Auto Workshop</th>\n",
       "      <th>BBQ Joint</th>\n",
       "      <th>Baby Store</th>\n",
       "      <th>Bagel Shop</th>\n",
       "      <th>Bakery</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Baseball Field</th>\n",
       "      <th>Baseball Stadium</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Basketball Stadium</th>\n",
       "      <th>Beach</th>\n",
       "      <th>Bed &amp; Breakfast</th>\n",
       "      <th>Beer Bar</th>\n",
       "      <th>Beer Store</th>\n",
       "      <th>Belgian Restaurant</th>\n",
       "      <th>Bike Shop</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Board Shop</th>\n",
       "      <th>Boat or Ferry</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boutique</th>\n",
       "      <th>Brazilian Restaurant</th>\n",
       "      <th>Breakfast Spot</th>\n",
       "      <th>Brewery</th>\n",
       "      <th>Bridal Shop</th>\n",
       "      <th>Bubble Tea Shop</th>\n",
       "      <th>Building</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Burrito Place</th>\n",
       "      <th>Bus Line</th>\n",
       "      <th>Bus Station</th>\n",
       "      <th>Butcher</th>\n",
       "      <th>Café</th>\n",
       "      <th>Cajun / Creole Restaurant</th>\n",
       "      <th>Camera Store</th>\n",
       "      <th>Candy Store</th>\n",
       "      <th>Caribbean Restaurant</th>\n",
       "      <th>Cheese Shop</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Chocolate Shop</th>\n",
       "      <th>Church</th>\n",
       "      <th>Climbing Gym</th>\n",
       "      <th>Clothing Store</th>\n",
       "      <th>Cocktail Bar</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Arts Building</th>\n",
       "      <th>College Auditorium</th>\n",
       "      <th>College Cafeteria</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>College Rec Center</th>\n",
       "      <th>College Stadium</th>\n",
       "      <th>Colombian Restaurant</th>\n",
       "      <th>Comfort Food Restaurant</th>\n",
       "      <th>Comic Shop</th>\n",
       "      <th>Concert Hall</th>\n",
       "      <th>Construction &amp; Landscaping</th>\n",
       "      <th>Convenience Store</th>\n",
       "      <th>Convention Center</th>\n",
       "      <th>Cosmetics Shop</th>\n",
       "      <th>Coworking Space</th>\n",
       "      <th>Creperie</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Cupcake Shop</th>\n",
       "      <th>Curling Ice</th>\n",
       "      <th>Dance Studio</th>\n",
       "      <th>Deli / Bodega</th>\n",
       "      <th>Department Store</th>\n",
       "      <th>Dessert Shop</th>\n",
       "      <th>Dim Sum Restaurant</th>\n",
       "      <th>Diner</th>\n",
       "      <th>Discount Store</th>\n",
       "      <th>Distribution Center</th>\n",
       "      <th>Dog Run</th>\n",
       "      <th>Doner Restaurant</th>\n",
       "      <th>Donut Shop</th>\n",
       "      <th>Drugstore</th>\n",
       "      <th>Dumpling Restaurant</th>\n",
       "      <th>Eastern European Restaurant</th>\n",
       "      <th>Electronics Store</th>\n",
       "      <th>Ethiopian Restaurant</th>\n",
       "      <th>Event Space</th>\n",
       "      <th>Fabric Shop</th>\n",
       "      <th>Falafel Restaurant</th>\n",
       "      <th>Farmers Market</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>Field</th>\n",
       "      <th>Filipino Restaurant</th>\n",
       "      <th>Fish &amp; Chips Shop</th>\n",
       "      <th>Fish Market</th>\n",
       "      <th>Flea Market</th>\n",
       "      <th>Flower Shop</th>\n",
       "      <th>Food</th>\n",
       "      <th>Food &amp; Drink Shop</th>\n",
       "      <th>Food Court</th>\n",
       "      <th>Food Truck</th>\n",
       "      <th>Fountain</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Fried Chicken Joint</th>\n",
       "      <th>Frozen Yogurt Shop</th>\n",
       "      <th>Fruit &amp; Vegetable Store</th>\n",
       "      <th>Furniture / Home Store</th>\n",
       "      <th>Gaming Cafe</th>\n",
       "      <th>Garden</th>\n",
       "      <th>Garden Center</th>\n",
       "      <th>Gas Station</th>\n",
       "      <th>Gastropub</th>\n",
       "      <th>Gay Bar</th>\n",
       "      <th>General Entertainment</th>\n",
       "      <th>General Travel</th>\n",
       "      <th>German Restaurant</th>\n",
       "      <th>Gift Shop</th>\n",
       "      <th>Gluten-free Restaurant</th>\n",
       "      <th>Golf Course</th>\n",
       "      <th>Gourmet Shop</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Grocery Store</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Hakka Restaurant</th>\n",
       "      <th>Harbor / Marina</th>\n",
       "      <th>Hardware Store</th>\n",
       "      <th>Health &amp; Beauty Service</th>\n",
       "      <th>Health Food Store</th>\n",
       "      <th>Historic Site</th>\n",
       "      <th>History Museum</th>\n",
       "      <th>Hobby Shop</th>\n",
       "      <th>Hockey Arena</th>\n",
       "      <th>Home Service</th>\n",
       "      <th>Hookah Bar</th>\n",
       "      <th>Hospital</th>\n",
       "      <th>Hotel</th>\n",
       "      <th>Hotel Bar</th>\n",
       "      <th>Housing Development</th>\n",
       "      <th>IT Services</th>\n",
       "      <th>Ice Cream Shop</th>\n",
       "      <th>Indian Restaurant</th>\n",
       "      <th>Indie Movie Theater</th>\n",
       "      <th>Indonesian Restaurant</th>\n",
       "      <th>Intersection</th>\n",
       "      <th>Irish Pub</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Japanese Restaurant</th>\n",
       "      <th>Jazz Club</th>\n",
       "      <th>Jewelry Store</th>\n",
       "      <th>Juice Bar</th>\n",
       "      <th>Kids Store</th>\n",
       "      <th>Korean Restaurant</th>\n",
       "      <th>Lake</th>\n",
       "      <th>Latin American Restaurant</th>\n",
       "      <th>Light Rail Station</th>\n",
       "      <th>Lingerie Store</th>\n",
       "      <th>Liquor Store</th>\n",
       "      <th>Lounge</th>\n",
       "      <th>Luggage Store</th>\n",
       "      <th>Market</th>\n",
       "      <th>Martial Arts Dojo</th>\n",
       "      <th>Massage Studio</th>\n",
       "      <th>Medical Center</th>\n",
       "      <th>Mediterranean Restaurant</th>\n",
       "      <th>Men's Store</th>\n",
       "      <th>Metro Station</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Middle Eastern Restaurant</th>\n",
       "      <th>Miscellaneous Shop</th>\n",
       "      <th>Mobile Phone Shop</th>\n",
       "      <th>Modern European Restaurant</th>\n",
       "      <th>Molecular Gastronomy Restaurant</th>\n",
       "      <th>Monument / Landmark</th>\n",
       "      <th>Moroccan Restaurant</th>\n",
       "      <th>Motel</th>\n",
       "      <th>Movie Theater</th>\n",
       "      <th>Museum</th>\n",
       "      <th>Music Venue</th>\n",
       "      <th>Nail Salon</th>\n",
       "      <th>New American Restaurant</th>\n",
       "      <th>Nightclub</th>\n",
       "      <th>Noodle House</th>\n",
       "      <th>Office</th>\n",
       "      <th>Opera House</th>\n",
       "      <th>Optical Shop</th>\n",
       "      <th>Organic Grocery</th>\n",
       "      <th>Other Great Outdoors</th>\n",
       "      <th>Outdoor Sculpture</th>\n",
       "      <th>Park</th>\n",
       "      <th>Performing Arts Venue</th>\n",
       "      <th>Pet Store</th>\n",
       "      <th>Pharmacy</th>\n",
       "      <th>Photography Studio</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Plane</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Plaza</th>\n",
       "      <th>Poke Place</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Portuguese Restaurant</th>\n",
       "      <th>Poutine Place</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Ramen Restaurant</th>\n",
       "      <th>Record Shop</th>\n",
       "      <th>Recording Studio</th>\n",
       "      <th>Rental Car Location</th>\n",
       "      <th>Restaurant</th>\n",
       "      <th>River</th>\n",
       "      <th>Roof Deck</th>\n",
       "      <th>Sake Bar</th>\n",
       "      <th>Salad Place</th>\n",
       "      <th>Salon / Barbershop</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Scenic Lookout</th>\n",
       "      <th>Sculpture Garden</th>\n",
       "      <th>Seafood Restaurant</th>\n",
       "      <th>Shoe Store</th>\n",
       "      <th>Shopping Mall</th>\n",
       "      <th>Skate Park</th>\n",
       "      <th>Skating Rink</th>\n",
       "      <th>Smoke Shop</th>\n",
       "      <th>Smoothie Shop</th>\n",
       "      <th>Snack Place</th>\n",
       "      <th>Soccer Field</th>\n",
       "      <th>Social Club</th>\n",
       "      <th>Soup Place</th>\n",
       "      <th>Spa</th>\n",
       "      <th>Speakeasy</th>\n",
       "      <th>Sporting Goods Shop</th>\n",
       "      <th>Sports Bar</th>\n",
       "      <th>Stadium</th>\n",
       "      <th>Stationery Store</th>\n",
       "      <th>Steakhouse</th>\n",
       "      <th>Strip Club</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Supplement Shop</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Swim School</th>\n",
       "      <th>Taco Place</th>\n",
       "      <th>Tailor Shop</th>\n",
       "      <th>Taiwanese Restaurant</th>\n",
       "      <th>Tanning Salon</th>\n",
       "      <th>Tea Room</th>\n",
       "      <th>Tennis Court</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Theater</th>\n",
       "      <th>Theme Restaurant</th>\n",
       "      <th>Toy / Game Store</th>\n",
       "      <th>Trail</th>\n",
       "      <th>Train Station</th>\n",
       "      <th>Vegetarian / Vegan Restaurant</th>\n",
       "      <th>Video Game Store</th>\n",
       "      <th>Video Store</th>\n",
       "      <th>Vietnamese Restaurant</th>\n",
       "      <th>Warehouse Store</th>\n",
       "      <th>Wine Bar</th>\n",
       "      <th>Wings Joint</th>\n",
       "      <th>Women's Store</th>\n",
       "      <th>Yoga Studio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Agincourt</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.200</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.086957</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.086957</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.043478</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.074074</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.037037</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      Neighborhood  Accessories Store  \\\n",
       "0                                        Agincourt                0.0   \n",
       "1                           Alderwood, Long Branch                0.0   \n",
       "2  Bathurst Manor, Wilson Heights, Downsview North                0.0   \n",
       "3                                  Bayview Village                0.0   \n",
       "4                Bedford Park, Lawrence Manor East                0.0   \n",
       "\n",
       "   Afghan Restaurant  Airport  Airport Food Court  Airport Lounge  \\\n",
       "0                0.0      0.0                 0.0             0.0   \n",
       "1                0.0      0.0                 0.0             0.0   \n",
       "2                0.0      0.0                 0.0             0.0   \n",
       "3                0.0      0.0                 0.0             0.0   \n",
       "4                0.0      0.0                 0.0             0.0   \n",
       "\n",
       "   Airport Service  Airport Terminal  American Restaurant  Antique Shop  \\\n",
       "0              0.0               0.0             0.000000           0.0   \n",
       "1              0.0               0.0             0.000000           0.0   \n",
       "2              0.0               0.0             0.000000           0.0   \n",
       "3              0.0               0.0             0.000000           0.0   \n",
       "4              0.0               0.0             0.037037           0.0   \n",
       "\n",
       "   Aquarium  Art Gallery  Art Museum  Arts & Crafts Store  Asian Restaurant  \\\n",
       "0       0.0          0.0         0.0                  0.0               0.0   \n",
       "1       0.0          0.0         0.0                  0.0               0.0   \n",
       "2       0.0          0.0         0.0                  0.0               0.0   \n",
       "3       0.0          0.0         0.0                  0.0               0.0   \n",
       "4       0.0          0.0         0.0                  0.0               0.0   \n",
       "\n",
       "   Athletics & Sports  Auto Garage  Auto Workshop  BBQ Joint  Baby Store  \\\n",
       "0                 0.0          0.0            0.0        0.0         0.0   \n",
       "1                 0.0          0.0            0.0        0.0         0.0   \n",
       "2                 0.0          0.0            0.0        0.0         0.0   \n",
       "3                 0.0          0.0            0.0        0.0         0.0   \n",
       "4                 0.0          0.0            0.0        0.0         0.0   \n",
       "\n",
       "   Bagel Shop  Bakery      Bank  Bar  Baseball Field  Baseball Stadium  \\\n",
       "0         0.0     0.0  0.000000  0.0             0.0               0.0   \n",
       "1         0.0     0.0  0.000000  0.0             0.0               0.0   \n",
       "2         0.0     0.0  0.086957  0.0             0.0               0.0   \n",
       "3         0.0     0.0  0.250000  0.0             0.0               0.0   \n",
       "4         0.0     0.0  0.000000  0.0             0.0               0.0   \n",
       "\n",
       "   Basketball Court  Basketball Stadium  Beach  Bed & Breakfast  Beer Bar  \\\n",
       "0               0.0                 0.0    0.0              0.0       0.0   \n",
       "1               0.0                 0.0    0.0              0.0       0.0   \n",
       "2               0.0                 0.0    0.0              0.0       0.0   \n",
       "3               0.0                 0.0    0.0              0.0       0.0   \n",
       "4               0.0                 0.0    0.0              0.0       0.0   \n",
       "\n",
       "   Beer Store  Belgian Restaurant  Bike Shop  Bistro  Board Shop  \\\n",
       "0         0.0                 0.0        0.0     0.0         0.0   \n",
       "1         0.0                 0.0        0.0     0.0         0.0   \n",
       "2         0.0                 0.0        0.0     0.0         0.0   \n",
       "3         0.0                 0.0        0.0     0.0         0.0   \n",
       "4         0.0                 0.0        0.0     0.0         0.0   \n",
       "\n",
       "   Boat or Ferry  Bookstore  Boutique  Brazilian Restaurant  Breakfast Spot  \\\n",
       "0            0.0        0.0       0.0                   0.0             0.2   \n",
       "1            0.0        0.0       0.0                   0.0             0.0   \n",
       "2            0.0        0.0       0.0                   0.0             0.0   \n",
       "3            0.0        0.0       0.0                   0.0             0.0   \n",
       "4            0.0        0.0       0.0                   0.0             0.0   \n",
       "\n",
       "   Brewery  Bridal Shop  Bubble Tea Shop  Building  Burger Joint  \\\n",
       "0      0.0     0.000000              0.0       0.0           0.0   \n",
       "1      0.0     0.000000              0.0       0.0           0.0   \n",
       "2      0.0     0.043478              0.0       0.0           0.0   \n",
       "3      0.0     0.000000              0.0       0.0           0.0   \n",
       "4      0.0     0.000000              0.0       0.0           0.0   \n",
       "\n",
       "   Burrito Place  Bus Line  Bus Station   Butcher      Café  \\\n",
       "0            0.0       0.0          0.0  0.000000  0.000000   \n",
       "1            0.0       0.0          0.0  0.000000  0.000000   \n",
       "2            0.0       0.0          0.0  0.000000  0.000000   \n",
       "3            0.0       0.0          0.0  0.000000  0.250000   \n",
       "4            0.0       0.0          0.0  0.037037  0.037037   \n",
       "\n",
       "   Cajun / Creole Restaurant  Camera Store  Candy Store  Caribbean Restaurant  \\\n",
       "0                        0.0           0.0          0.0                   0.0   \n",
       "1                        0.0           0.0          0.0                   0.0   \n",
       "2                        0.0           0.0          0.0                   0.0   \n",
       "3                        0.0           0.0          0.0                   0.0   \n",
       "4                        0.0           0.0          0.0                   0.0   \n",
       "\n",
       "   Cheese Shop  Chinese Restaurant  Chocolate Shop  Church  Climbing Gym  \\\n",
       "0          0.0            0.000000             0.0     0.0           0.0   \n",
       "1          0.0            0.000000             0.0     0.0           0.0   \n",
       "2          0.0            0.043478             0.0     0.0           0.0   \n",
       "3          0.0            0.250000             0.0     0.0           0.0   \n",
       "4          0.0            0.000000             0.0     0.0           0.0   \n",
       "\n",
       "   Clothing Store  Cocktail Bar  Coffee Shop  College Arts Building  \\\n",
       "0             0.2           0.0     0.000000                    0.0   \n",
       "1             0.0           0.0     0.125000                    0.0   \n",
       "2             0.0           0.0     0.086957                    0.0   \n",
       "3             0.0           0.0     0.000000                    0.0   \n",
       "4             0.0           0.0     0.074074                    0.0   \n",
       "\n",
       "   College Auditorium  College Cafeteria  College Gym  College Rec Center  \\\n",
       "0                 0.0                0.0          0.0                 0.0   \n",
       "1                 0.0                0.0          0.0                 0.0   \n",
       "2                 0.0                0.0          0.0                 0.0   \n",
       "3                 0.0                0.0          0.0                 0.0   \n",
       "4                 0.0                0.0          0.0                 0.0   \n",
       "\n",
       "   College Stadium  Colombian Restaurant  Comfort Food Restaurant  Comic Shop  \\\n",
       "0              0.0                   0.0                 0.000000         0.0   \n",
       "1              0.0                   0.0                 0.000000         0.0   \n",
       "2              0.0                   0.0                 0.000000         0.0   \n",
       "3              0.0                   0.0                 0.000000         0.0   \n",
       "4              0.0                   0.0                 0.037037         0.0   \n",
       "\n",
       "   Concert Hall  Construction & Landscaping  Convenience Store  \\\n",
       "0           0.0                         0.0                0.0   \n",
       "1           0.0                         0.0                0.0   \n",
       "2           0.0                         0.0                0.0   \n",
       "3           0.0                         0.0                0.0   \n",
       "4           0.0                         0.0                0.0   \n",
       "\n",
       "   Convention Center  Cosmetics Shop  Coworking Space  Creperie  \\\n",
       "0                0.0             0.0              0.0       0.0   \n",
       "1                0.0             0.0              0.0       0.0   \n",
       "2                0.0             0.0              0.0       0.0   \n",
       "3                0.0             0.0              0.0       0.0   \n",
       "4                0.0             0.0              0.0       0.0   \n",
       "\n",
       "   Cuban Restaurant  Cupcake Shop  Curling Ice  Dance Studio  Deli / Bodega  \\\n",
       "0               0.0           0.0          0.0           0.0       0.000000   \n",
       "1               0.0           0.0          0.0           0.0       0.000000   \n",
       "2               0.0           0.0          0.0           0.0       0.043478   \n",
       "3               0.0           0.0          0.0           0.0       0.000000   \n",
       "4               0.0           0.0          0.0           0.0       0.000000   \n",
       "\n",
       "   Department Store  Dessert Shop  Dim Sum Restaurant     Diner  \\\n",
       "0               0.0           0.0                 0.0  0.000000   \n",
       "1               0.0           0.0                 0.0  0.000000   \n",
       "2               0.0           0.0                 0.0  0.043478   \n",
       "3               0.0           0.0                 0.0  0.000000   \n",
       "4               0.0           0.0                 0.0  0.000000   \n",
       "\n",
       "   Discount Store  Distribution Center  Dog Run  Doner Restaurant  Donut Shop  \\\n",
       "0             0.0                  0.0      0.0               0.0         0.0   \n",
       "1             0.0                  0.0      0.0               0.0         0.0   \n",
       "2             0.0                  0.0      0.0               0.0         0.0   \n",
       "3             0.0                  0.0      0.0               0.0         0.0   \n",
       "4             0.0                  0.0      0.0               0.0         0.0   \n",
       "\n",
       "   Drugstore  Dumpling Restaurant  Eastern European Restaurant  \\\n",
       "0        0.0                  0.0                          0.0   \n",
       "1        0.0                  0.0                          0.0   \n",
       "2        0.0                  0.0                          0.0   \n",
       "3        0.0                  0.0                          0.0   \n",
       "4        0.0                  0.0                          0.0   \n",
       "\n",
       "   Electronics Store  Ethiopian Restaurant  Event Space  Fabric Shop  \\\n",
       "0                0.0                   0.0          0.0          0.0   \n",
       "1                0.0                   0.0          0.0          0.0   \n",
       "2                0.0                   0.0          0.0          0.0   \n",
       "3                0.0                   0.0          0.0          0.0   \n",
       "4                0.0                   0.0          0.0          0.0   \n",
       "\n",
       "   Falafel Restaurant  Farmers Market  Fast Food Restaurant  Field  \\\n",
       "0                 0.0             0.0              0.000000    0.0   \n",
       "1                 0.0             0.0              0.000000    0.0   \n",
       "2                 0.0             0.0              0.000000    0.0   \n",
       "3                 0.0             0.0              0.000000    0.0   \n",
       "4                 0.0             0.0              0.037037    0.0   \n",
       "\n",
       "   Filipino Restaurant  Fish & Chips Shop  Fish Market  Flea Market  \\\n",
       "0                  0.0                0.0          0.0          0.0   \n",
       "1                  0.0                0.0          0.0          0.0   \n",
       "2                  0.0                0.0          0.0          0.0   \n",
       "3                  0.0                0.0          0.0          0.0   \n",
       "4                  0.0                0.0          0.0          0.0   \n",
       "\n",
       "   Flower Shop  Food  Food & Drink Shop  Food Court  Food Truck  Fountain  \\\n",
       "0          0.0   0.0                0.0         0.0         0.0       0.0   \n",
       "1          0.0   0.0                0.0         0.0         0.0       0.0   \n",
       "2          0.0   0.0                0.0         0.0         0.0       0.0   \n",
       "3          0.0   0.0                0.0         0.0         0.0       0.0   \n",
       "4          0.0   0.0                0.0         0.0         0.0       0.0   \n",
       "\n",
       "   French Restaurant  Fried Chicken Joint  Frozen Yogurt Shop  \\\n",
       "0                0.0             0.000000            0.000000   \n",
       "1                0.0             0.000000            0.000000   \n",
       "2                0.0             0.043478            0.043478   \n",
       "3                0.0             0.000000            0.000000   \n",
       "4                0.0             0.000000            0.000000   \n",
       "\n",
       "   Fruit & Vegetable Store  Furniture / Home Store  Gaming Cafe  Garden  \\\n",
       "0                      0.0                     0.0          0.0     0.0   \n",
       "1                      0.0                     0.0          0.0     0.0   \n",
       "2                      0.0                     0.0          0.0     0.0   \n",
       "3                      0.0                     0.0          0.0     0.0   \n",
       "4                      0.0                     0.0          0.0     0.0   \n",
       "\n",
       "   Garden Center  Gas Station  Gastropub  Gay Bar  General Entertainment  \\\n",
       "0            0.0     0.000000        0.0      0.0                    0.0   \n",
       "1            0.0     0.000000        0.0      0.0                    0.0   \n",
       "2            0.0     0.043478        0.0      0.0                    0.0   \n",
       "3            0.0     0.000000        0.0      0.0                    0.0   \n",
       "4            0.0     0.000000        0.0      0.0                    0.0   \n",
       "\n",
       "   General Travel  German Restaurant  Gift Shop  Gluten-free Restaurant  \\\n",
       "0             0.0                0.0        0.0                     0.0   \n",
       "1             0.0                0.0        0.0                     0.0   \n",
       "2             0.0                0.0        0.0                     0.0   \n",
       "3             0.0                0.0        0.0                     0.0   \n",
       "4             0.0                0.0        0.0                     0.0   \n",
       "\n",
       "   Golf Course  Gourmet Shop  Greek Restaurant  Grocery Store    Gym  \\\n",
       "0          0.0           0.0          0.000000       0.000000  0.000   \n",
       "1          0.0           0.0          0.000000       0.000000  0.125   \n",
       "2          0.0           0.0          0.000000       0.043478  0.000   \n",
       "3          0.0           0.0          0.000000       0.000000  0.000   \n",
       "4          0.0           0.0          0.037037       0.037037  0.000   \n",
       "\n",
       "   Gym / Fitness Center  Hakka Restaurant  Harbor / Marina  Hardware Store  \\\n",
       "0                   0.0               0.0              0.0             0.0   \n",
       "1                   0.0               0.0              0.0             0.0   \n",
       "2                   0.0               0.0              0.0             0.0   \n",
       "3                   0.0               0.0              0.0             0.0   \n",
       "4                   0.0               0.0              0.0             0.0   \n",
       "\n",
       "   Health & Beauty Service  Health Food Store  Historic Site  History Museum  \\\n",
       "0                      0.0                0.0            0.0             0.0   \n",
       "1                      0.0                0.0            0.0             0.0   \n",
       "2                      0.0                0.0            0.0             0.0   \n",
       "3                      0.0                0.0            0.0             0.0   \n",
       "4                      0.0                0.0            0.0             0.0   \n",
       "\n",
       "   Hobby Shop  Hockey Arena  Home Service  Hookah Bar  Hospital  Hotel  \\\n",
       "0         0.0           0.0           0.0         0.0       0.0    0.0   \n",
       "1         0.0           0.0           0.0         0.0       0.0    0.0   \n",
       "2         0.0           0.0           0.0         0.0       0.0    0.0   \n",
       "3         0.0           0.0           0.0         0.0       0.0    0.0   \n",
       "4         0.0           0.0           0.0         0.0       0.0    0.0   \n",
       "\n",
       "   Hotel Bar  Housing Development  IT Services  Ice Cream Shop  \\\n",
       "0        0.0                  0.0          0.0        0.000000   \n",
       "1        0.0                  0.0          0.0        0.000000   \n",
       "2        0.0                  0.0          0.0        0.043478   \n",
       "3        0.0                  0.0          0.0        0.000000   \n",
       "4        0.0                  0.0          0.0        0.000000   \n",
       "\n",
       "   Indian Restaurant  Indie Movie Theater  Indonesian Restaurant  \\\n",
       "0           0.000000                  0.0                    0.0   \n",
       "1           0.000000                  0.0                    0.0   \n",
       "2           0.000000                  0.0                    0.0   \n",
       "3           0.000000                  0.0                    0.0   \n",
       "4           0.037037                  0.0                    0.0   \n",
       "\n",
       "   Intersection  Irish Pub  Italian Restaurant  Japanese Restaurant  \\\n",
       "0           0.0        0.0            0.000000                 0.00   \n",
       "1           0.0        0.0            0.000000                 0.00   \n",
       "2           0.0        0.0            0.000000                 0.00   \n",
       "3           0.0        0.0            0.000000                 0.25   \n",
       "4           0.0        0.0            0.074074                 0.00   \n",
       "\n",
       "   Jazz Club  Jewelry Store  Juice Bar  Kids Store  Korean Restaurant  Lake  \\\n",
       "0        0.0            0.0   0.000000         0.0                0.0   0.0   \n",
       "1        0.0            0.0   0.000000         0.0                0.0   0.0   \n",
       "2        0.0            0.0   0.000000         0.0                0.0   0.0   \n",
       "3        0.0            0.0   0.000000         0.0                0.0   0.0   \n",
       "4        0.0            0.0   0.037037         0.0                0.0   0.0   \n",
       "\n",
       "   Latin American Restaurant  Light Rail Station  Lingerie Store  \\\n",
       "0                        0.2                 0.0             0.0   \n",
       "1                        0.0                 0.0             0.0   \n",
       "2                        0.0                 0.0             0.0   \n",
       "3                        0.0                 0.0             0.0   \n",
       "4                        0.0                 0.0             0.0   \n",
       "\n",
       "   Liquor Store  Lounge  Luggage Store  Market  Martial Arts Dojo  \\\n",
       "0      0.000000     0.2            0.0     0.0                0.0   \n",
       "1      0.000000     0.0            0.0     0.0                0.0   \n",
       "2      0.000000     0.0            0.0     0.0                0.0   \n",
       "3      0.000000     0.0            0.0     0.0                0.0   \n",
       "4      0.037037     0.0            0.0     0.0                0.0   \n",
       "\n",
       "   Massage Studio  Medical Center  Mediterranean Restaurant  Men's Store  \\\n",
       "0             0.0             0.0                       0.0          0.0   \n",
       "1             0.0             0.0                       0.0          0.0   \n",
       "2             0.0             0.0                       0.0          0.0   \n",
       "3             0.0             0.0                       0.0          0.0   \n",
       "4             0.0             0.0                       0.0          0.0   \n",
       "\n",
       "   Metro Station  Mexican Restaurant  Middle Eastern Restaurant  \\\n",
       "0            0.0                 0.0                   0.000000   \n",
       "1            0.0                 0.0                   0.000000   \n",
       "2            0.0                 0.0                   0.043478   \n",
       "3            0.0                 0.0                   0.000000   \n",
       "4            0.0                 0.0                   0.000000   \n",
       "\n",
       "   Miscellaneous Shop  Mobile Phone Shop  Modern European Restaurant  \\\n",
       "0                 0.0           0.000000                         0.0   \n",
       "1                 0.0           0.000000                         0.0   \n",
       "2                 0.0           0.043478                         0.0   \n",
       "3                 0.0           0.000000                         0.0   \n",
       "4                 0.0           0.000000                         0.0   \n",
       "\n",
       "   Molecular Gastronomy Restaurant  Monument / Landmark  Moroccan Restaurant  \\\n",
       "0                              0.0                  0.0                  0.0   \n",
       "1                              0.0                  0.0                  0.0   \n",
       "2                              0.0                  0.0                  0.0   \n",
       "3                              0.0                  0.0                  0.0   \n",
       "4                              0.0                  0.0                  0.0   \n",
       "\n",
       "   Motel  Movie Theater  Museum  Music Venue  Nail Salon  \\\n",
       "0    0.0            0.0     0.0          0.0         0.0   \n",
       "1    0.0            0.0     0.0          0.0         0.0   \n",
       "2    0.0            0.0     0.0          0.0         0.0   \n",
       "3    0.0            0.0     0.0          0.0         0.0   \n",
       "4    0.0            0.0     0.0          0.0         0.0   \n",
       "\n",
       "   New American Restaurant  Nightclub  Noodle House  Office  Opera House  \\\n",
       "0                      0.0        0.0           0.0     0.0          0.0   \n",
       "1                      0.0        0.0           0.0     0.0          0.0   \n",
       "2                      0.0        0.0           0.0     0.0          0.0   \n",
       "3                      0.0        0.0           0.0     0.0          0.0   \n",
       "4                      0.0        0.0           0.0     0.0          0.0   \n",
       "\n",
       "   Optical Shop  Organic Grocery  Other Great Outdoors  Outdoor Sculpture  \\\n",
       "0           0.0              0.0                   0.0                0.0   \n",
       "1           0.0              0.0                   0.0                0.0   \n",
       "2           0.0              0.0                   0.0                0.0   \n",
       "3           0.0              0.0                   0.0                0.0   \n",
       "4           0.0              0.0                   0.0                0.0   \n",
       "\n",
       "       Park  Performing Arts Venue  Pet Store  Pharmacy  Photography Studio  \\\n",
       "0  0.000000                    0.0        0.0  0.000000                 0.0   \n",
       "1  0.000000                    0.0        0.0  0.125000                 0.0   \n",
       "2  0.043478                    0.0        0.0  0.043478                 0.0   \n",
       "3  0.000000                    0.0        0.0  0.000000                 0.0   \n",
       "4  0.000000                    0.0        0.0  0.037037                 0.0   \n",
       "\n",
       "   Pizza Place  Plane  Playground  Plaza  Poke Place  Pool  \\\n",
       "0     0.000000    0.0         0.0    0.0         0.0   0.0   \n",
       "1     0.250000    0.0         0.0    0.0         0.0   0.0   \n",
       "2     0.043478    0.0         0.0    0.0         0.0   0.0   \n",
       "3     0.000000    0.0         0.0    0.0         0.0   0.0   \n",
       "4     0.074074    0.0         0.0    0.0         0.0   0.0   \n",
       "\n",
       "   Portuguese Restaurant  Poutine Place       Pub  Ramen Restaurant  \\\n",
       "0                    0.0            0.0  0.000000               0.0   \n",
       "1                    0.0            0.0  0.125000               0.0   \n",
       "2                    0.0            0.0  0.000000               0.0   \n",
       "3                    0.0            0.0  0.000000               0.0   \n",
       "4                    0.0            0.0  0.037037               0.0   \n",
       "\n",
       "   Record Shop  Recording Studio  Rental Car Location  Restaurant  River  \\\n",
       "0          0.0               0.0                  0.0    0.000000    0.0   \n",
       "1          0.0               0.0                  0.0    0.000000    0.0   \n",
       "2          0.0               0.0                  0.0    0.043478    0.0   \n",
       "3          0.0               0.0                  0.0    0.000000    0.0   \n",
       "4          0.0               0.0                  0.0    0.074074    0.0   \n",
       "\n",
       "   Roof Deck  Sake Bar  Salad Place  Salon / Barbershop  Sandwich Place  \\\n",
       "0        0.0       0.0          0.0                 0.0        0.000000   \n",
       "1        0.0       0.0          0.0                 0.0        0.125000   \n",
       "2        0.0       0.0          0.0                 0.0        0.043478   \n",
       "3        0.0       0.0          0.0                 0.0        0.000000   \n",
       "4        0.0       0.0          0.0                 0.0        0.074074   \n",
       "\n",
       "   Scenic Lookout  Sculpture Garden  Seafood Restaurant  Shoe Store  \\\n",
       "0             0.0               0.0                 0.0         0.0   \n",
       "1             0.0               0.0                 0.0         0.0   \n",
       "2             0.0               0.0                 0.0         0.0   \n",
       "3             0.0               0.0                 0.0         0.0   \n",
       "4             0.0               0.0                 0.0         0.0   \n",
       "\n",
       "   Shopping Mall  Skate Park  Skating Rink  Smoke Shop  Smoothie Shop  \\\n",
       "0       0.000000         0.0         0.200         0.0            0.0   \n",
       "1       0.000000         0.0         0.125         0.0            0.0   \n",
       "2       0.043478         0.0         0.000         0.0            0.0   \n",
       "3       0.000000         0.0         0.000         0.0            0.0   \n",
       "4       0.000000         0.0         0.000         0.0            0.0   \n",
       "\n",
       "   Snack Place  Soccer Field  Social Club  Soup Place       Spa  Speakeasy  \\\n",
       "0          0.0           0.0          0.0         0.0  0.000000        0.0   \n",
       "1          0.0           0.0          0.0         0.0  0.000000        0.0   \n",
       "2          0.0           0.0          0.0         0.0  0.000000        0.0   \n",
       "3          0.0           0.0          0.0         0.0  0.000000        0.0   \n",
       "4          0.0           0.0          0.0         0.0  0.037037        0.0   \n",
       "\n",
       "   Sporting Goods Shop  Sports Bar  Stadium  Stationery Store  Steakhouse  \\\n",
       "0                  0.0         0.0      0.0               0.0         0.0   \n",
       "1                  0.0         0.0      0.0               0.0         0.0   \n",
       "2                  0.0         0.0      0.0               0.0         0.0   \n",
       "3                  0.0         0.0      0.0               0.0         0.0   \n",
       "4                  0.0         0.0      0.0               0.0         0.0   \n",
       "\n",
       "   Strip Club  Supermarket  Supplement Shop  Sushi Restaurant  Swim School  \\\n",
       "0         0.0     0.000000              0.0          0.000000          0.0   \n",
       "1         0.0     0.000000              0.0          0.000000          0.0   \n",
       "2         0.0     0.043478              0.0          0.043478          0.0   \n",
       "3         0.0     0.000000              0.0          0.000000          0.0   \n",
       "4         0.0     0.000000              0.0          0.074074          0.0   \n",
       "\n",
       "   Taco Place  Tailor Shop  Taiwanese Restaurant  Tanning Salon  Tea Room  \\\n",
       "0         0.0          0.0                   0.0            0.0       0.0   \n",
       "1         0.0          0.0                   0.0            0.0       0.0   \n",
       "2         0.0          0.0                   0.0            0.0       0.0   \n",
       "3         0.0          0.0                   0.0            0.0       0.0   \n",
       "4         0.0          0.0                   0.0            0.0       0.0   \n",
       "\n",
       "   Tennis Court  Thai Restaurant  Theater  Theme Restaurant  Toy / Game Store  \\\n",
       "0           0.0         0.000000      0.0               0.0               0.0   \n",
       "1           0.0         0.000000      0.0               0.0               0.0   \n",
       "2           0.0         0.000000      0.0               0.0               0.0   \n",
       "3           0.0         0.000000      0.0               0.0               0.0   \n",
       "4           0.0         0.037037      0.0               0.0               0.0   \n",
       "\n",
       "   Trail  Train Station  Vegetarian / Vegan Restaurant  Video Game Store  \\\n",
       "0    0.0            0.0                            0.0               0.0   \n",
       "1    0.0            0.0                            0.0               0.0   \n",
       "2    0.0            0.0                            0.0               0.0   \n",
       "3    0.0            0.0                            0.0               0.0   \n",
       "4    0.0            0.0                            0.0               0.0   \n",
       "\n",
       "   Video Store  Vietnamese Restaurant  Warehouse Store  Wine Bar  Wings Joint  \\\n",
       "0          0.0                    0.0              0.0       0.0          0.0   \n",
       "1          0.0                    0.0              0.0       0.0          0.0   \n",
       "2          0.0                    0.0              0.0       0.0          0.0   \n",
       "3          0.0                    0.0              0.0       0.0          0.0   \n",
       "4          0.0                    0.0              0.0       0.0          0.0   \n",
       "\n",
       "   Women's Store  Yoga Studio  \n",
       "0       0.000000          0.0  \n",
       "1       0.000000          0.0  \n",
       "2       0.000000          0.0  \n",
       "3       0.000000          0.0  \n",
       "4       0.037037          0.0  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_grouped = toronto_onehot.groupby('Neighborhood').mean().reset_index()\n",
    "print(toronto_grouped.shape)\n",
    "toronto_grouped.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's print each neighborhood along with the top 5 most common venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "----Agincourt----\n",
      "                       venue  freq\n",
      "0                     Lounge   0.2\n",
      "1             Breakfast Spot   0.2\n",
      "2               Skating Rink   0.2\n",
      "3  Latin American Restaurant   0.2\n",
      "4             Clothing Store   0.2\n",
      "\n",
      "\n",
      "----Alderwood, Long Branch----\n",
      "            venue   freq\n",
      "0     Pizza Place  0.250\n",
      "1        Pharmacy  0.125\n",
      "2             Gym  0.125\n",
      "3    Skating Rink  0.125\n",
      "4  Sandwich Place  0.125\n",
      "\n",
      "\n",
      "----Bathurst Manor, Wilson Heights, Downsview North----\n",
      "                       venue   freq\n",
      "0                       Bank  0.087\n",
      "1                Coffee Shop  0.087\n",
      "2              Shopping Mall  0.043\n",
      "3                       Park  0.043\n",
      "4  Middle Eastern Restaurant  0.043\n",
      "\n",
      "\n",
      "----Bayview Village----\n",
      "                 venue  freq\n",
      "0                 Bank  0.25\n",
      "1   Chinese Restaurant  0.25\n",
      "2  Japanese Restaurant  0.25\n",
      "3                 Café  0.25\n",
      "4    Accessories Store  0.00\n",
      "\n",
      "\n",
      "----Bedford Park, Lawrence Manor East----\n",
      "                venue   freq\n",
      "0  Italian Restaurant  0.074\n",
      "1      Sandwich Place  0.074\n",
      "2         Pizza Place  0.074\n",
      "3          Restaurant  0.074\n",
      "4    Sushi Restaurant  0.074\n",
      "\n",
      "\n",
      "----Berczy Park----\n",
      "                venue   freq\n",
      "0         Coffee Shop  0.103\n",
      "1              Bakery  0.034\n",
      "2  Seafood Restaurant  0.034\n",
      "3         Cheese Shop  0.034\n",
      "4                Café  0.034\n",
      "\n",
      "\n",
      "----Birch Cliff, Cliffside West----\n",
      "                   venue  freq\n",
      "0        College Stadium  0.25\n",
      "1                   Café  0.25\n",
      "2           Skating Rink  0.25\n",
      "3  General Entertainment  0.25\n",
      "4      Accessories Store  0.00\n",
      "\n",
      "\n",
      "----Brockton, Parkdale Village, Exhibition Place----\n",
      "            venue   freq\n",
      "0            Café  0.130\n",
      "1       Nightclub  0.087\n",
      "2  Breakfast Spot  0.087\n",
      "3     Coffee Shop  0.087\n",
      "4       Pet Store  0.043\n",
      "\n",
      "\n",
      "----Business reply mail Processing Centre, South Central Letter Processing Plant Toronto----\n",
      "                venue   freq\n",
      "0  Light Rail Station  0.118\n",
      "1          Comic Shop  0.059\n",
      "2       Auto Workshop  0.059\n",
      "3         Pizza Place  0.059\n",
      "4    Recording Studio  0.059\n",
      "\n",
      "\n",
      "----CN Tower, King and Spadina, Railway Lands, Harbourfront West, Bathurst Quay, South Niagara, Island airport----\n",
      "             venue   freq\n",
      "0  Airport Service  0.200\n",
      "1   Airport Lounge  0.133\n",
      "2         Boutique  0.067\n",
      "3  Harbor / Marina  0.067\n",
      "4    Boat or Ferry  0.067\n",
      "\n",
      "\n",
      "----Caledonia-Fairbanks----\n",
      "                venue  freq\n",
      "0                Park  0.50\n",
      "1       Women's Store  0.25\n",
      "2                Pool  0.25\n",
      "3   Accessories Store  0.00\n",
      "4  Mexican Restaurant  0.00\n",
      "\n",
      "\n",
      "----Canada Post Gateway Processing Centre----\n",
      "                       venue   freq\n",
      "0                      Hotel  0.154\n",
      "1                Coffee Shop  0.154\n",
      "2               Intersection  0.077\n",
      "3  Middle Eastern Restaurant  0.077\n",
      "4              Burrito Place  0.077\n",
      "\n",
      "\n",
      "----Cedarbrae----\n",
      "                  venue   freq\n",
      "0      Hakka Restaurant  0.111\n",
      "1    Athletics & Sports  0.111\n",
      "2                Lounge  0.111\n",
      "3   Fried Chicken Joint  0.111\n",
      "4  Caribbean Restaurant  0.111\n",
      "\n",
      "\n",
      "----Central Bay Street----\n",
      "                venue   freq\n",
      "0         Coffee Shop  0.175\n",
      "1      Sandwich Place  0.063\n",
      "2                Café  0.048\n",
      "3  Italian Restaurant  0.048\n",
      "4    Department Store  0.032\n",
      "\n",
      "\n",
      "----Christie----\n",
      "           venue   freq\n",
      "0  Grocery Store  0.250\n",
      "1           Café  0.188\n",
      "2           Park  0.125\n",
      "3     Baby Store  0.062\n",
      "4    Candy Store  0.062\n",
      "\n",
      "\n",
      "----Church and Wellesley----\n",
      "                 venue   freq\n",
      "0          Coffee Shop  0.104\n",
      "1  Japanese Restaurant  0.065\n",
      "2     Sushi Restaurant  0.052\n",
      "3           Restaurant  0.039\n",
      "4              Gay Bar  0.039\n",
      "\n",
      "\n",
      "----Clarks Corners, Tam O'Shanter, Sullivan----\n",
      "                 venue   freq\n",
      "0          Pizza Place  0.154\n",
      "1             Pharmacy  0.077\n",
      "2         Noodle House  0.077\n",
      "3  Fried Chicken Joint  0.077\n",
      "4                 Bank  0.077\n",
      "\n",
      "\n",
      "----Cliffside, Cliffcrest, Scarborough Village West----\n",
      "                       venue   freq\n",
      "0               Intersection  0.333\n",
      "1        American Restaurant  0.333\n",
      "2                      Motel  0.333\n",
      "3          Accessories Store  0.000\n",
      "4  Middle Eastern Restaurant  0.000\n",
      "\n",
      "\n",
      "----Commerce Court, Victoria Hotel----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.13\n",
      "1         Café  0.07\n",
      "2   Restaurant  0.07\n",
      "3        Hotel  0.06\n",
      "4          Gym  0.04\n",
      "\n",
      "\n",
      "----Davisville----\n",
      "              venue   freq\n",
      "0       Pizza Place  0.118\n",
      "1      Dessert Shop  0.088\n",
      "2    Sandwich Place  0.088\n",
      "3       Coffee Shop  0.059\n",
      "4  Sushi Restaurant  0.059\n",
      "\n",
      "\n",
      "----Davisville North----\n",
      "                  venue   freq\n",
      "0                 Hotel  0.143\n",
      "1                  Park  0.143\n",
      "2  Gym / Fitness Center  0.143\n",
      "3        Breakfast Spot  0.143\n",
      "4        Sandwich Place  0.143\n",
      "\n",
      "\n",
      "----Del Ray, Mount Dennis, Keelsdale and Silverthorn----\n",
      "               venue  freq\n",
      "0         Restaurant   0.2\n",
      "1     Discount Store   0.2\n",
      "2     Sandwich Place   0.2\n",
      "3        Coffee Shop   0.2\n",
      "4  Convenience Store   0.2\n",
      "\n",
      "\n",
      "----Don Mills----\n",
      "         venue   freq\n",
      "0          Gym  0.111\n",
      "1   Beer Store  0.074\n",
      "2         Café  0.074\n",
      "3  Coffee Shop  0.074\n",
      "4   Restaurant  0.074\n",
      "\n",
      "\n",
      "----Dorset Park, Wexford Heights, Scarborough Town Centre----\n",
      "                   venue   freq\n",
      "0      Indian Restaurant  0.333\n",
      "1              Pet Store  0.167\n",
      "2     Chinese Restaurant  0.167\n",
      "3     Light Rail Station  0.167\n",
      "4  Vietnamese Restaurant  0.167\n",
      "\n",
      "\n",
      "----Downsview----\n",
      "                venue   freq\n",
      "0       Grocery Store  0.176\n",
      "1                Park  0.118\n",
      "2                Bank  0.059\n",
      "3      Discount Store  0.059\n",
      "4  Athletics & Sports  0.059\n",
      "\n",
      "\n",
      "----Dufferin, Dovercourt Village----\n",
      "                       venue   freq\n",
      "0                   Pharmacy  0.143\n",
      "1                     Bakery  0.143\n",
      "2                Music Venue  0.071\n",
      "3  Middle Eastern Restaurant  0.071\n",
      "4                Supermarket  0.071\n",
      "\n",
      "\n",
      "----East Toronto, Broadview North (Old East York)----\n",
      "                       venue  freq\n",
      "0                       Park  0.50\n",
      "1               Intersection  0.25\n",
      "2          Convenience Store  0.25\n",
      "3  Middle Eastern Restaurant  0.00\n",
      "4        Moroccan Restaurant  0.00\n",
      "\n",
      "\n",
      "----Eringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood----\n",
      "          venue   freq\n",
      "0   Pizza Place  0.125\n",
      "1   Coffee Shop  0.125\n",
      "2  Liquor Store  0.125\n",
      "3    Beer Store  0.125\n",
      "4          Café  0.125\n",
      "\n",
      "\n",
      "----Fairview, Henry Farm, Oriole----\n",
      "                  venue   freq\n",
      "0        Clothing Store  0.106\n",
      "1           Coffee Shop  0.076\n",
      "2  Fast Food Restaurant  0.061\n",
      "3            Restaurant  0.045\n",
      "4            Shoe Store  0.045\n",
      "\n",
      "\n",
      "----First Canadian Place, Underground city----\n",
      "         venue  freq\n",
      "0  Coffee Shop  0.12\n",
      "1         Café  0.07\n",
      "2        Hotel  0.05\n",
      "3   Restaurant  0.04\n",
      "4          Gym  0.04\n",
      "\n",
      "\n",
      "----Forest Hill North & West, Forest Hill Road Park----\n",
      "                       venue  freq\n",
      "0              Jewelry Store  0.25\n",
      "1           Sushi Restaurant  0.25\n",
      "2                      Trail  0.25\n",
      "3         Mexican Restaurant  0.25\n",
      "4  Middle Eastern Restaurant  0.00\n",
      "\n",
      "\n",
      "----Garden District, Ryerson----\n",
      "                 venue  freq\n",
      "0       Clothing Store  0.10\n",
      "1          Coffee Shop  0.08\n",
      "2                 Café  0.04\n",
      "3  Japanese Restaurant  0.03\n",
      "4   Italian Restaurant  0.03\n",
      "\n",
      "\n",
      "----Glencairn----\n",
      "                 venue  freq\n",
      "0                  Pub  0.25\n",
      "1          Pizza Place  0.25\n",
      "2                 Park  0.25\n",
      "3  Japanese Restaurant  0.25\n",
      "4    Accessories Store  0.00\n",
      "\n",
      "\n",
      "----Golden Mile, Clairlea, Oakridge----\n",
      "            venue  freq\n",
      "0        Bus Line   0.2\n",
      "1          Bakery   0.2\n",
      "2    Intersection   0.1\n",
      "3   Metro Station   0.1\n",
      "4  Ice Cream Shop   0.1\n",
      "\n",
      "\n",
      "----Guildwood, Morningside, West Hill----\n",
      "            venue   freq\n",
      "0    Intersection  0.125\n",
      "1  Medical Center  0.125\n",
      "2  Breakfast Spot  0.125\n",
      "3            Bank  0.125\n",
      "4      Restaurant  0.125\n",
      "\n",
      "\n",
      "----Harbourfront East, Union Station, Toronto Islands----\n",
      "                 venue  freq\n",
      "0          Coffee Shop  0.12\n",
      "1             Aquarium  0.05\n",
      "2                Hotel  0.04\n",
      "3                 Café  0.04\n",
      "4  Fried Chicken Joint  0.03\n",
      "\n",
      "\n",
      "----High Park, The Junction South----\n",
      "                       venue  freq\n",
      "0            Thai Restaurant  0.08\n",
      "1         Mexican Restaurant  0.08\n",
      "2                       Café  0.08\n",
      "3                       Park  0.04\n",
      "4  Cajun / Creole Restaurant  0.04\n",
      "\n",
      "\n",
      "----Hillcrest Village----\n",
      "                      venue  freq\n",
      "0  Mediterranean Restaurant  0.25\n",
      "1                   Dog Run  0.25\n",
      "2               Golf Course  0.25\n",
      "3                      Pool  0.25\n",
      "4         Accessories Store  0.00\n",
      "\n",
      "\n",
      "----Humber Summit----\n",
      "                             venue  freq\n",
      "0                      Pizza Place   1.0\n",
      "1                Accessories Store   0.0\n",
      "2               Mexican Restaurant   0.0\n",
      "3              Monument / Landmark   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----Humberlea, Emery----\n",
      "                       venue  freq\n",
      "0                Fabric Shop   0.5\n",
      "1             Baseball Field   0.5\n",
      "2          Accessories Store   0.0\n",
      "3  Middle Eastern Restaurant   0.0\n",
      "4        Monument / Landmark   0.0\n",
      "\n",
      "\n",
      "----Humewood-Cedarvale----\n",
      "               venue  freq\n",
      "0              Trail  0.25\n",
      "1               Park  0.25\n",
      "2              Field  0.25\n",
      "3       Hockey Arena  0.25\n",
      "4  Accessories Store  0.00\n",
      "\n",
      "\n",
      "----India Bazaar, The Beaches West----\n",
      "               venue  freq\n",
      "0        Pizza Place  0.05\n",
      "1       Intersection  0.05\n",
      "2      Burrito Place  0.05\n",
      "3            Brewery  0.05\n",
      "4  Fish & Chips Shop  0.05\n",
      "\n",
      "\n",
      "----Kennedy Park, Ionview, East Birchmount Park----\n",
      "                venue   freq\n",
      "0      Discount Store  0.286\n",
      "1   Convenience Store  0.143\n",
      "2         Bus Station  0.143\n",
      "3  Chinese Restaurant  0.143\n",
      "4    Department Store  0.143\n",
      "\n",
      "\n",
      "----Kensington Market, Chinatown, Grange Park----\n",
      "                           venue   freq\n",
      "0                           Café  0.078\n",
      "1                    Coffee Shop  0.062\n",
      "2  Vegetarian / Vegan Restaurant  0.062\n",
      "3             Mexican Restaurant  0.047\n",
      "4                            Bar  0.047\n",
      "\n",
      "\n",
      "----Kingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens----\n",
      "               venue  freq\n",
      "0        Pizza Place  0.25\n",
      "1               Park  0.25\n",
      "2     Sandwich Place  0.25\n",
      "3           Bus Line  0.25\n",
      "4  Accessories Store  0.00\n",
      "\n",
      "\n",
      "----Lawrence Manor, Lawrence Heights----\n",
      "                    venue   freq\n",
      "0          Clothing Store  0.308\n",
      "1       Accessories Store  0.154\n",
      "2             Coffee Shop  0.077\n",
      "3           Women's Store  0.077\n",
      "4  Furniture / Home Store  0.077\n",
      "\n",
      "\n",
      "----Lawrence Park----\n",
      "                       venue  freq\n",
      "0         Photography Studio  0.25\n",
      "1                       Park  0.25\n",
      "2                Swim School  0.25\n",
      "3                   Bus Line  0.25\n",
      "4  Middle Eastern Restaurant  0.00\n",
      "\n",
      "\n",
      "----Leaside----\n",
      "                    venue   freq\n",
      "0     Sporting Goods Shop  0.091\n",
      "1             Coffee Shop  0.091\n",
      "2  Furniture / Home Store  0.061\n",
      "3                    Bank  0.061\n",
      "4            Burger Joint  0.061\n",
      "\n",
      "\n",
      "----Little Portugal, Trinity----\n",
      "                   venue   freq\n",
      "0                    Bar  0.104\n",
      "1            Coffee Shop  0.062\n",
      "2       Asian Restaurant  0.062\n",
      "3  Vietnamese Restaurant  0.042\n",
      "4            Men's Store  0.042\n",
      "\n",
      "\n",
      "----Malvern, Rouge----\n",
      "                             venue  freq\n",
      "0             Fast Food Restaurant   1.0\n",
      "1               Mexican Restaurant   0.0\n",
      "2              Monument / Landmark   0.0\n",
      "3  Molecular Gastronomy Restaurant   0.0\n",
      "4       Modern European Restaurant   0.0\n",
      "\n",
      "\n",
      "----Milliken, Agincourt North, Steeles East, L'Amoreaux East----\n",
      "                 venue  freq\n",
      "0                 Park   0.5\n",
      "1           Playground   0.5\n",
      "2    Accessories Store   0.0\n",
      "3   Mexican Restaurant   0.0\n",
      "4  Monument / Landmark   0.0\n",
      "\n",
      "\n",
      "----Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West----\n",
      "               venue   freq\n",
      "0  Convenience Store  0.067\n",
      "1     Discount Store  0.067\n",
      "2       Burger Joint  0.067\n",
      "3        Flower Shop  0.067\n",
      "4      Burrito Place  0.067\n",
      "\n",
      "\n",
      "----Moore Park, Summerhill East----\n",
      "                       venue  freq\n",
      "0                 Restaurant  0.25\n",
      "1                       Park  0.25\n",
      "2                        Gym  0.25\n",
      "3               Tennis Court  0.25\n",
      "4  Middle Eastern Restaurant  0.00\n",
      "\n",
      "\n",
      "----New Toronto, Mimico South, Humber Bay Shores----\n",
      "                venue   freq\n",
      "0                Café  0.143\n",
      "1            Pharmacy  0.071\n",
      "2         Coffee Shop  0.071\n",
      "3           Pet Store  0.071\n",
      "4  Mexican Restaurant  0.071\n",
      "\n",
      "\n",
      "----North Park, Maple Leaf Park, Upwood Park----\n",
      "                        venue  freq\n",
      "0                      Bakery  0.25\n",
      "1  Construction & Landscaping  0.25\n",
      "2                        Park  0.25\n",
      "3            Basketball Court  0.25\n",
      "4   Middle Eastern Restaurant  0.00\n",
      "\n",
      "\n",
      "----North Toronto West,  Lawrence Park----\n",
      "            venue   freq\n",
      "0     Coffee Shop  0.111\n",
      "1  Clothing Store  0.111\n",
      "2     Yoga Studio  0.056\n",
      "3       Gift Shop  0.056\n",
      "4           Diner  0.056\n",
      "\n",
      "\n",
      "----Northwest, West Humber - Clairville----\n",
      "                             venue  freq\n",
      "0              Rental Car Location   0.5\n",
      "1                        Drugstore   0.5\n",
      "2                Accessories Store   0.0\n",
      "3        Middle Eastern Restaurant   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----Northwood Park, York University----\n",
      "                  venue   freq\n",
      "0        Massage Studio  0.143\n",
      "1         Metro Station  0.143\n",
      "2  Caribbean Restaurant  0.143\n",
      "3                   Bar  0.143\n",
      "4    Miscellaneous Shop  0.143\n",
      "\n",
      "\n",
      "----Old Mill South, King's Mill Park, Sunnylea, Humber Bay, Mimico NE, The Queensway East, Royal York South East, Kingsway Park South East----\n",
      "                             venue  freq\n",
      "0                   Baseball Field   1.0\n",
      "1                Accessories Store   0.0\n",
      "2        Middle Eastern Restaurant   0.0\n",
      "3              Monument / Landmark   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----Parkdale, Roncesvalles----\n",
      "                         venue   freq\n",
      "0               Breakfast Spot  0.143\n",
      "1                    Gift Shop  0.143\n",
      "2                  Coffee Shop  0.071\n",
      "3  Eastern European Restaurant  0.071\n",
      "4                Movie Theater  0.071\n",
      "\n",
      "\n",
      "----Parkview Hill, Woodbine Gardens----\n",
      "                venue  freq\n",
      "0         Pizza Place   0.2\n",
      "1  Athletics & Sports   0.1\n",
      "2      Breakfast Spot   0.1\n",
      "3            Pharmacy   0.1\n",
      "4                Bank   0.1\n",
      "\n",
      "\n",
      "----Parkwoods----\n",
      "                        venue   freq\n",
      "0           Food & Drink Shop  0.333\n",
      "1                        Park  0.333\n",
      "2  Construction & Landscaping  0.333\n",
      "3          Mexican Restaurant  0.000\n",
      "4         Monument / Landmark  0.000\n",
      "\n",
      "\n",
      "----Queen's Park, Ontario Provincial Government----\n",
      "               venue   freq\n",
      "0        Coffee Shop  0.265\n",
      "1              Diner  0.059\n",
      "2        Yoga Studio  0.029\n",
      "3  College Cafeteria  0.029\n",
      "4   Sushi Restaurant  0.029\n",
      "\n",
      "\n",
      "----Regent Park, Harbourfront----\n",
      "         venue   freq\n",
      "0  Coffee Shop  0.170\n",
      "1         Park  0.064\n",
      "2          Pub  0.064\n",
      "3       Bakery  0.064\n",
      "4         Café  0.043\n",
      "\n",
      "\n",
      "----Richmond, Adelaide, King----\n",
      "            venue  freq\n",
      "0     Coffee Shop  0.09\n",
      "1            Café  0.05\n",
      "2      Restaurant  0.04\n",
      "3  Clothing Store  0.04\n",
      "4           Hotel  0.04\n",
      "\n",
      "\n",
      "----Rosedale----\n",
      "                venue  freq\n",
      "0                Park  0.50\n",
      "1          Playground  0.25\n",
      "2               Trail  0.25\n",
      "3   Accessories Store  0.00\n",
      "4  Mexican Restaurant  0.00\n",
      "\n",
      "\n",
      "----Roselawn----\n",
      "                       venue  freq\n",
      "0                     Garden   0.5\n",
      "1               Home Service   0.5\n",
      "2  Middle Eastern Restaurant   0.0\n",
      "3        Moroccan Restaurant   0.0\n",
      "4        Monument / Landmark   0.0\n",
      "\n",
      "\n",
      "----Rouge Hill, Port Union, Highland Creek----\n",
      "                       venue   freq\n",
      "0                        Bar  0.333\n",
      "1                Golf Course  0.333\n",
      "2               Home Service  0.333\n",
      "3          Accessories Store  0.000\n",
      "4  Middle Eastern Restaurant  0.000\n",
      "\n",
      "\n",
      "----Runnymede, Swansea----\n",
      "              venue   freq\n",
      "0              Café  0.081\n",
      "1       Coffee Shop  0.081\n",
      "2               Pub  0.054\n",
      "3       Pizza Place  0.054\n",
      "4  Sushi Restaurant  0.054\n",
      "\n",
      "\n",
      "----Runnymede, The Junction North----\n",
      "                  venue   freq\n",
      "0  Caribbean Restaurant  0.333\n",
      "1        Breakfast Spot  0.333\n",
      "2               Brewery  0.333\n",
      "3    Miscellaneous Shop  0.000\n",
      "4   Moroccan Restaurant  0.000\n",
      "\n",
      "\n",
      "----Scarborough Village----\n",
      "                             venue  freq\n",
      "0                       Playground   1.0\n",
      "1                Accessories Store   0.0\n",
      "2               Mexican Restaurant   0.0\n",
      "3              Monument / Landmark   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----South Steeles, Silverstone, Humbergate, Jamestown, Mount Olive, Beaumond Heights, Thistletown, Albion Gardens----\n",
      "                 venue   freq\n",
      "0        Grocery Store  0.222\n",
      "1             Pharmacy  0.111\n",
      "2           Beer Store  0.111\n",
      "3  Fried Chicken Joint  0.111\n",
      "4       Sandwich Place  0.111\n",
      "\n",
      "\n",
      "----St. James Town----\n",
      "            venue   freq\n",
      "0     Coffee Shop  0.057\n",
      "1            Café  0.057\n",
      "2      Restaurant  0.057\n",
      "3  Clothing Store  0.046\n",
      "4  Cosmetics Shop  0.034\n",
      "\n",
      "\n",
      "----St. James Town, Cabbagetown----\n",
      "                venue   freq\n",
      "0         Pizza Place  0.064\n",
      "1         Coffee Shop  0.064\n",
      "2  Chinese Restaurant  0.043\n",
      "3                Café  0.043\n",
      "4                Park  0.043\n",
      "\n",
      "\n",
      "----Steeles West, L'Amoreaux West----\n",
      "                  venue   freq\n",
      "0    Chinese Restaurant  0.133\n",
      "1           Coffee Shop  0.133\n",
      "2  Fast Food Restaurant  0.133\n",
      "3              Pharmacy  0.067\n",
      "4       Bubble Tea Shop  0.067\n",
      "\n",
      "\n",
      "----Stn A PO Boxes----\n",
      "                venue   freq\n",
      "0         Coffee Shop  0.116\n",
      "1                Café  0.042\n",
      "2  Italian Restaurant  0.042\n",
      "3            Beer Bar  0.032\n",
      "4               Hotel  0.032\n",
      "\n",
      "\n",
      "----Studio District----\n",
      "         venue   freq\n",
      "0         Café  0.098\n",
      "1  Coffee Shop  0.073\n",
      "2      Brewery  0.049\n",
      "3    Gastropub  0.049\n",
      "4       Bakery  0.049\n",
      "\n",
      "\n",
      "----Summerhill West, Rathnelly, South Hill, Forest Hill SE, Deer Park----\n",
      "                venue   freq\n",
      "0                 Pub  0.118\n",
      "1         Coffee Shop  0.118\n",
      "2        Liquor Store  0.059\n",
      "3  Light Rail Station  0.059\n",
      "4                Café  0.059\n",
      "\n",
      "\n",
      "----The Annex, North Midtown, Yorkville----\n",
      "                           venue   freq\n",
      "0                 Sandwich Place  0.143\n",
      "1                           Café  0.143\n",
      "2                    Coffee Shop  0.095\n",
      "3                       Pharmacy  0.048\n",
      "4  Vegetarian / Vegan Restaurant  0.048\n",
      "\n",
      "\n",
      "----The Beaches----\n",
      "                       venue  freq\n",
      "0          Health Food Store  0.25\n",
      "1                        Pub  0.25\n",
      "2                      Trail  0.25\n",
      "3          Accessories Store  0.00\n",
      "4  Middle Eastern Restaurant  0.00\n",
      "\n",
      "\n",
      "----The Danforth West, Riverdale----\n",
      "                venue   freq\n",
      "0    Greek Restaurant  0.190\n",
      "1         Coffee Shop  0.071\n",
      "2  Italian Restaurant  0.071\n",
      "3      Ice Cream Shop  0.048\n",
      "4          Restaurant  0.048\n",
      "\n",
      "\n",
      "----The Kingsway, Montgomery Road, Old Mill North----\n",
      "                       venue  freq\n",
      "0                      River   0.5\n",
      "1                       Park   0.5\n",
      "2          Accessories Store   0.0\n",
      "3  Middle Eastern Restaurant   0.0\n",
      "4        Monument / Landmark   0.0\n",
      "\n",
      "\n",
      "----Thorncliffe Park----\n",
      "               venue   freq\n",
      "0     Sandwich Place  0.083\n",
      "1  Indian Restaurant  0.083\n",
      "2        Yoga Studio  0.042\n",
      "3     Discount Store  0.042\n",
      "4       Burger Joint  0.042\n",
      "\n",
      "\n",
      "----Toronto Dominion Centre, Design Exchange----\n",
      "                venue  freq\n",
      "0         Coffee Shop  0.13\n",
      "1               Hotel  0.07\n",
      "2                Café  0.06\n",
      "3          Restaurant  0.04\n",
      "4  Seafood Restaurant  0.03\n",
      "\n",
      "\n",
      "----University of Toronto, Harbord----\n",
      "            venue   freq\n",
      "0            Café  0.143\n",
      "1       Bookstore  0.057\n",
      "2          Bakery  0.057\n",
      "3  Sandwich Place  0.057\n",
      "4             Bar  0.057\n",
      "\n",
      "\n",
      "----Victoria Village----\n",
      "                   venue  freq\n",
      "0            Coffee Shop  0.25\n",
      "1            Pizza Place  0.25\n",
      "2           Hockey Arena  0.25\n",
      "3  Portuguese Restaurant  0.25\n",
      "4     Mexican Restaurant  0.00\n",
      "\n",
      "\n",
      "----West Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale----\n",
      "                             venue  freq\n",
      "0                    Jewelry Store   1.0\n",
      "1                Accessories Store   0.0\n",
      "2        Middle Eastern Restaurant   0.0\n",
      "3              Monument / Landmark   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----Westmount----\n",
      "                venue   freq\n",
      "0         Pizza Place  0.286\n",
      "1      Sandwich Place  0.143\n",
      "2      Discount Store  0.143\n",
      "3  Chinese Restaurant  0.143\n",
      "4         Coffee Shop  0.143\n",
      "\n",
      "\n",
      "----Weston----\n",
      "                 venue  freq\n",
      "0                 Park   0.5\n",
      "1    Convenience Store   0.5\n",
      "2    Accessories Store   0.0\n",
      "3   Mexican Restaurant   0.0\n",
      "4  Monument / Landmark   0.0\n",
      "\n",
      "\n",
      "----Wexford, Maryvale----\n",
      "                   venue   freq\n",
      "0         Breakfast Spot  0.167\n",
      "1            Auto Garage  0.167\n",
      "2  Vietnamese Restaurant  0.167\n",
      "3         Sandwich Place  0.167\n",
      "4                 Bakery  0.167\n",
      "\n",
      "\n",
      "----Willowdale, Newtonbrook----\n",
      "                             venue  freq\n",
      "0                             Park   1.0\n",
      "1                Accessories Store   0.0\n",
      "2               Mexican Restaurant   0.0\n",
      "3              Monument / Landmark   0.0\n",
      "4  Molecular Gastronomy Restaurant   0.0\n",
      "\n",
      "\n",
      "----Willowdale, Willowdale East----\n",
      "              venue   freq\n",
      "0  Ramen Restaurant  0.088\n",
      "1       Coffee Shop  0.059\n",
      "2        Restaurant  0.059\n",
      "3  Sushi Restaurant  0.059\n",
      "4              Café  0.059\n",
      "\n",
      "\n",
      "----Willowdale, Willowdale West----\n",
      "           venue   freq\n",
      "0    Pizza Place  0.167\n",
      "1  Grocery Store  0.167\n",
      "2    Coffee Shop  0.167\n",
      "3   Home Service  0.167\n",
      "4           Bank  0.167\n",
      "\n",
      "\n",
      "----Woburn----\n",
      "                             venue   freq\n",
      "0                      Coffee Shop  0.667\n",
      "1                Korean Restaurant  0.333\n",
      "2               Mexican Restaurant  0.000\n",
      "3              Monument / Landmark  0.000\n",
      "4  Molecular Gastronomy Restaurant  0.000\n",
      "\n",
      "\n",
      "----Woodbine Heights----\n",
      "          venue   freq\n",
      "0   Curling Ice  0.167\n",
      "1          Park  0.167\n",
      "2  Skating Rink  0.167\n",
      "3   Video Store  0.167\n",
      "4    Beer Store  0.167\n",
      "\n",
      "\n",
      "----York Mills West----\n",
      "                 venue  freq\n",
      "0                 Park   0.5\n",
      "1    Convenience Store   0.5\n",
      "2    Accessories Store   0.0\n",
      "3   Mexican Restaurant   0.0\n",
      "4  Monument / Landmark   0.0\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "num_top_venues = 5\n",
    "\n",
    "for hood in toronto_grouped['Neighborhood']:\n",
    "    print(\"----\"+hood+\"----\")\n",
    "    temp = toronto_grouped[toronto_grouped['Neighborhood'] == hood].T.reset_index()\n",
    "    temp.columns = ['venue','freq']\n",
    "    temp = temp.iloc[1:]\n",
    "    temp['freq'] = temp['freq'].astype(float)\n",
    "    temp = temp.round({'freq': 3})\n",
    "    print(temp.sort_values('freq', ascending=False).reset_index(drop=True).head(num_top_venues))\n",
    "    print('\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Let's put that into a *pandas* dataframe\n",
    "First, let's write a function to sort the venues in descending order."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def return_most_common_venues(row, num_top_venues):\n",
    "    row_categories = row.iloc[1:]\n",
    "    row_categories_sorted = row_categories.sort_values(ascending=False)\n",
    "    \n",
    "    return row_categories_sorted.index.values[0:num_top_venues]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's create the new dataframe and display the top 10 venues for each neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Agincourt</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alderwood, Long Branch</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bathurst Manor, Wilson Heights, Downsview North</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Park</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Bridal Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bayview Village</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bedford Park, Lawrence Manor East</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                      Neighborhood 1st Most Common Venue  \\\n",
       "0                                        Agincourt        Clothing Store   \n",
       "1                           Alderwood, Long Branch           Pizza Place   \n",
       "2  Bathurst Manor, Wilson Heights, Downsview North           Coffee Shop   \n",
       "3                                  Bayview Village                  Café   \n",
       "4                Bedford Park, Lawrence Manor East      Sushi Restaurant   \n",
       "\n",
       "  2nd Most Common Venue 3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0          Skating Rink        Breakfast Spot                Lounge   \n",
       "1                   Gym          Skating Rink              Pharmacy   \n",
       "2                  Bank                  Park   Fried Chicken Joint   \n",
       "3                  Bank    Chinese Restaurant   Japanese Restaurant   \n",
       "4        Sandwich Place    Italian Restaurant            Restaurant   \n",
       "\n",
       "       5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "0  Latin American Restaurant  Ethiopian Restaurant           Event Space   \n",
       "1                Coffee Shop                   Pub        Sandwich Place   \n",
       "2                Bridal Shop        Sandwich Place                 Diner   \n",
       "3                      Diner        Discount Store   Distribution Center   \n",
       "4                Coffee Shop           Pizza Place              Pharmacy   \n",
       "\n",
       "     8th Most Common Venue        9th Most Common Venue  \\\n",
       "0        Electronics Store  Eastern European Restaurant   \n",
       "1      Distribution Center                 Dessert Shop   \n",
       "2               Restaurant                Deli / Bodega   \n",
       "3                  Dog Run             Doner Restaurant   \n",
       "4  Comfort Food Restaurant         Fast Food Restaurant   \n",
       "\n",
       "      10th Most Common Venue  \n",
       "0                      Diner  \n",
       "1         Dim Sum Restaurant  \n",
       "2  Middle Eastern Restaurant  \n",
       "3                Yoga Studio  \n",
       "4                        Spa  "
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_top_venues = 10\n",
    "\n",
    "indicators = ['st', 'nd', 'rd']\n",
    "\n",
    "# create columns according to number of top venues\n",
    "columns = ['Neighborhood']\n",
    "for ind in np.arange(num_top_venues):\n",
    "    try:\n",
    "        columns.append('{}{} Most Common Venue'.format(ind+1, indicators[ind]))\n",
    "    except:\n",
    "        columns.append('{}th Most Common Venue'.format(ind+1))\n",
    "\n",
    "# create a new dataframe\n",
    "neighborhoods_venues_sorted = pd.DataFrame(columns=columns)\n",
    "neighborhoods_venues_sorted['Neighborhood'] = toronto_grouped['Neighborhood']\n",
    "\n",
    "for ind in np.arange(toronto_grouped.shape[0]):\n",
    "    neighborhoods_venues_sorted.iloc[ind, 1:] = return_most_common_venues(toronto_grouped.iloc[ind, :], num_top_venues)\n",
    "\n",
    "neighborhoods_venues_sorted.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Now, it's time to cluster these neighborhoods of City of Toronto"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ">Run *k*-means to cluster the neighborhood into 5 clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1], dtype=int32)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 5\n",
    "\n",
    "toronto_grouped_clustering = toronto_grouped.drop('Neighborhood', 1)\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(toronto_grouped_clustering)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_[0:10] "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Let's create a new dataframe that includes the cluster as well as the top 10 venues for each neighborhood."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PostalCode</th>\n",
       "      <th>Borough</th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M1B</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Malvern, Rouge</td>\n",
       "      <td>43.806686</td>\n",
       "      <td>-79.194353</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Fabric Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M1C</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Rouge Hill, Port Union, Highland Creek</td>\n",
       "      <td>43.784535</td>\n",
       "      <td>-79.160497</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>M1E</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Guildwood, Morningside, West Hill</td>\n",
       "      <td>43.763573</td>\n",
       "      <td>-79.188711</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M1G</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Woburn</td>\n",
       "      <td>43.770992</td>\n",
       "      <td>-79.216917</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M1H</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cedarbrae</td>\n",
       "      <td>43.773136</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>M1J</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Scarborough Village</td>\n",
       "      <td>43.744734</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>3.0</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M1K</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Kennedy Park, Ionview, East Birchmount Park</td>\n",
       "      <td>43.727929</td>\n",
       "      <td>-79.262029</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M1L</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Golden Mile, Clairlea, Oakridge</td>\n",
       "      <td>43.711112</td>\n",
       "      <td>-79.284577</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Soccer Field</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Metro Station</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Park</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>M1M</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Cliffside, Cliffcrest, Scarborough Village West</td>\n",
       "      <td>43.716316</td>\n",
       "      <td>-79.239476</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Motel</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>M1N</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>Birch Cliff, Cliffside West</td>\n",
       "      <td>43.692657</td>\n",
       "      <td>-79.264848</td>\n",
       "      <td>1.0</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Café</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PostalCode      Borough                                     Neighborhood  \\\n",
       "0        M1B  Scarborough                                   Malvern, Rouge   \n",
       "1        M1C  Scarborough           Rouge Hill, Port Union, Highland Creek   \n",
       "2        M1E  Scarborough                Guildwood, Morningside, West Hill   \n",
       "3        M1G  Scarborough                                           Woburn   \n",
       "4        M1H  Scarborough                                        Cedarbrae   \n",
       "5        M1J  Scarborough                              Scarborough Village   \n",
       "6        M1K  Scarborough      Kennedy Park, Ionview, East Birchmount Park   \n",
       "7        M1L  Scarborough                  Golden Mile, Clairlea, Oakridge   \n",
       "8        M1M  Scarborough  Cliffside, Cliffcrest, Scarborough Village West   \n",
       "9        M1N  Scarborough                      Birch Cliff, Cliffside West   \n",
       "\n",
       "    Latitude  Longitude  Cluster Labels 1st Most Common Venue  \\\n",
       "0  43.806686 -79.194353             1.0  Fast Food Restaurant   \n",
       "1  43.784535 -79.160497             1.0          Home Service   \n",
       "2  43.763573 -79.188711             1.0   Rental Car Location   \n",
       "3  43.770992 -79.216917             1.0           Coffee Shop   \n",
       "4  43.773136 -79.239476             1.0      Hakka Restaurant   \n",
       "5  43.744734 -79.239476             3.0            Playground   \n",
       "6  43.727929 -79.262029             1.0        Discount Store   \n",
       "7  43.711112 -79.284577             1.0              Bus Line   \n",
       "8  43.716316 -79.239476             1.0                 Motel   \n",
       "9  43.692657 -79.264848             1.0       College Stadium   \n",
       "\n",
       "  2nd Most Common Venue  3rd Most Common Venue 4th Most Common Venue  \\\n",
       "0          Dessert Shop            Fabric Shop           Event Space   \n",
       "1                   Bar            Golf Course           Yoga Studio   \n",
       "2        Medical Center                   Bank          Intersection   \n",
       "3     Korean Restaurant            Yoga Studio             Drugstore   \n",
       "4           Gas Station                   Bank                Bakery   \n",
       "5           Yoga Studio              Drugstore                 Diner   \n",
       "6      Department Store            Bus Station     Convenience Store   \n",
       "7                Bakery           Soccer Field        Ice Cream Shop   \n",
       "8          Intersection    American Restaurant           Yoga Studio   \n",
       "9          Skating Rink  General Entertainment                  Café   \n",
       "\n",
       "  5th Most Common Venue 6th Most Common Venue        7th Most Common Venue  \\\n",
       "0  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant   \n",
       "1        Discount Store   Distribution Center                      Dog Run   \n",
       "2    Mexican Restaurant            Restaurant               Breakfast Spot   \n",
       "3        Discount Store   Distribution Center                      Dog Run   \n",
       "4   Fried Chicken Joint  Caribbean Restaurant           Athletics & Sports   \n",
       "5        Discount Store   Distribution Center                      Dog Run   \n",
       "6    Chinese Restaurant           Coffee Shop                   Donut Shop   \n",
       "7           Bus Station         Metro Station                 Intersection   \n",
       "8            Donut Shop        Discount Store          Distribution Center   \n",
       "9  Ethiopian Restaurant     Electronics Store  Eastern European Restaurant   \n",
       "\n",
       "  8th Most Common Venue  9th Most Common Venue       10th Most Common Venue  \n",
       "0   Dumpling Restaurant              Drugstore                   Donut Shop  \n",
       "1      Doner Restaurant             Donut Shop                    Drugstore  \n",
       "2     Electronics Store              Drugstore          Dumpling Restaurant  \n",
       "3      Doner Restaurant             Donut Shop  Eastern European Restaurant  \n",
       "4       Thai Restaurant                 Lounge             Cuban Restaurant  \n",
       "5      Doner Restaurant             Donut Shop          Dumpling Restaurant  \n",
       "6   Distribution Center                Dog Run             Doner Restaurant  \n",
       "7                  Park  General Entertainment                 Dessert Shop  \n",
       "8               Dog Run       Doner Restaurant                    Drugstore  \n",
       "9   Dumpling Restaurant              Drugstore                 Dessert Shop  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add clustering labels\n",
    "neighborhoods_venues_sorted.insert(0, 'Cluster Labels', kmeans.labels_)\n",
    "\n",
    "toronto_merged = new_df\n",
    "\n",
    "# merge toronto_grouped with toronto_data to add latitude/longitude for each neighborhood\n",
    "toronto_merged = toronto_merged.join(neighborhoods_venues_sorted.set_index('Neighborhood'), on='Neighborhood')\n",
    "\n",
    "toronto_merged.head(10) # check the first 10 rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Since we would you Cluster Labels to assign our clusters, let's check if there is any null or NaN values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PostalCode                False\n",
       "Borough                   False\n",
       "Neighborhood              False\n",
       "Latitude                  False\n",
       "Longitude                 False\n",
       "Cluster Labels             True\n",
       "1st Most Common Venue      True\n",
       "2nd Most Common Venue      True\n",
       "3rd Most Common Venue      True\n",
       "4th Most Common Venue      True\n",
       "5th Most Common Venue      True\n",
       "6th Most Common Venue      True\n",
       "7th Most Common Venue      True\n",
       "8th Most Common Venue      True\n",
       "9th Most Common Venue      True\n",
       "10th Most Common Venue     True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.isnull().any()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Yes, there are null value in column Cluster Labels, so let's drop them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 16)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged = toronto_merged[toronto_merged['Cluster Labels'].notna()]\n",
    "toronto_merged.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "toronto_merged['Cluster Labels'] = toronto_merged['Cluster Labels'].astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Finally, let's visualize the resulting clusters**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
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            var popup_c12635871c6d4255a7f75fc50b284bca = L.popup({maxWidth: '300'});

            
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            circle_marker_5bd1f40e00524dbe8893932cc722b5a0.bindPopup(popup_977bf8df70734cf7b2da0a9adf684c02);

            
        
    
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                {
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  "color": "#8000ff",
  "dashArray": null,
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  "fill": true,
  "fillColor": "#8000ff",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
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                ).addTo(map_0b471281423340e283c8524c77faa236);
            
    
            var popup_e8c1d41c912245a296b41475355c7c33 = L.popup({maxWidth: '300'});

            
                var html_19d02be3e1e34b5cbd58edc4ff2a3d55 = $('<div id="html_19d02be3e1e34b5cbd58edc4ff2a3d55" style="width: 100.0%; height: 100.0%;">Canada Post Gateway Processing Centre Cluster 1</div>')[0];
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                {
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  "fill": true,
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  "fillOpacity": 0.7,
  "fillRule": "evenodd",
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  "lineJoin": "round",
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  "stroke": true,
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}
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            circle_marker_45b6941a56d24915ba065767aae84a1e.bindPopup(popup_2cc2cb490e344a95a829ac46437bff83);

            
        
    
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  "fillRule": "evenodd",
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}
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                var html_952a46ade84b415d8235b272e75a1fd2 = $('<div id="html_952a46ade84b415d8235b272e75a1fd2" style="width: 100.0%; height: 100.0%;">New Toronto, Mimico South, Humber Bay Shores Cluster 1</div>')[0];
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            circle_marker_69a54d65f3364f30b8f280a899f02eed.bindPopup(popup_ccd19893f0be4350af691ca97ebf2d5d);

            
        
    
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}
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                var html_e63233d70d514ead92e5643e62f71e19 = $('<div id="html_e63233d70d514ead92e5643e62f71e19" style="width: 100.0%; height: 100.0%;">Alderwood, Long Branch Cluster 1</div>')[0];
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            circle_marker_a50751488b5243c9a0b3853a5f40ae88.bindPopup(popup_c3c8dede3cd64df49ae0ab75cadf36ac);

            
        
    
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}
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            var popup_a75a462c43824801bbae2c1ef6f710f9 = L.popup({maxWidth: '300'});

            
                var html_5c1ecbe350424507bb7ad0906f3e8851 = $('<div id="html_5c1ecbe350424507bb7ad0906f3e8851" style="width: 100.0%; height: 100.0%;">The Kingsway, Montgomery Road, Old Mill North Cluster 4</div>')[0];
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            circle_marker_7d787cbd73f94c97ae3a648ab35776fa.bindPopup(popup_a75a462c43824801bbae2c1ef6f710f9);

            
        
    
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}
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                var html_c7b92e9ea4384d09a0d54a4ad7c72720 = $('<div id="html_c7b92e9ea4384d09a0d54a4ad7c72720" 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 Cluster 2</div>')[0];
                popup_49024fec09614754a2d18aaffb852959.setContent(html_c7b92e9ea4384d09a0d54a4ad7c72720);
            

            circle_marker_e3dae83ab7ef4636bfce768f5f808f5a.bindPopup(popup_49024fec09614754a2d18aaffb852959);

            
        
    
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}
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            var popup_ec45536ec3c6440c88cbccd6346cf1ef = L.popup({maxWidth: '300'});

            
                var html_152af55af2f642ed9adb7ab7ad976edd = $('<div id="html_152af55af2f642ed9adb7ab7ad976edd" style="width: 100.0%; height: 100.0%;">Mimico NW, The Queensway West, South of Bloor, Kingsway Park South West, Royal York South West Cluster 1</div>')[0];
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            circle_marker_b6fe706c0bdb4e72bb3bdc98355eca2b.bindPopup(popup_ec45536ec3c6440c88cbccd6346cf1ef);

            
        
    
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}
                ).addTo(map_0b471281423340e283c8524c77faa236);
            
    
            var popup_a0fe713601ad441381f7c0196e03ea9e = L.popup({maxWidth: '300'});

            
                var html_9977f9e29d78463aa8f90426e2928dd8 = $('<div id="html_9977f9e29d78463aa8f90426e2928dd8" style="width: 100.0%; height: 100.0%;">West Deane Park, Princess Gardens, Martin Grove, Islington, Cloverdale Cluster 0</div>')[0];
                popup_a0fe713601ad441381f7c0196e03ea9e.setContent(html_9977f9e29d78463aa8f90426e2928dd8);
            

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}
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            var popup_4124a9c24d884fe2b5f606cfe3e5cc79 = L.popup({maxWidth: '300'});

            
                var html_b9c8664dfe634e41aa4e25919fad8894 = $('<div id="html_b9c8664dfe634e41aa4e25919fad8894" style="width: 100.0%; height: 100.0%;">Eringate, Bloordale Gardens, Old Burnhamthorpe, Markland Wood Cluster 1</div>')[0];
                popup_4124a9c24d884fe2b5f606cfe3e5cc79.setContent(html_b9c8664dfe634e41aa4e25919fad8894);
            

            circle_marker_8183faae775442ff97a75af21a6323e8.bindPopup(popup_4124a9c24d884fe2b5f606cfe3e5cc79);

            
        
    
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  "fill": true,
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}
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            var popup_9d002cef365a4518bb8192a40dc2e63e = L.popup({maxWidth: '300'});

            
                var html_dbf2d9997bf44b4090b42b22082ef3f7 = $('<div id="html_dbf2d9997bf44b4090b42b22082ef3f7" style="width: 100.0%; height: 100.0%;">Humber Summit Cluster 1</div>')[0];
                popup_9d002cef365a4518bb8192a40dc2e63e.setContent(html_dbf2d9997bf44b4090b42b22082ef3f7);
            

            circle_marker_097df2339178475281dce2fc7eb3b8e6.bindPopup(popup_9d002cef365a4518bb8192a40dc2e63e);

            
        
    
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  "fill": true,
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}
                ).addTo(map_0b471281423340e283c8524c77faa236);
            
    
            var popup_9731934d72d94fe5bea6f801131fd6ca = L.popup({maxWidth: '300'});

            
                var html_bc6d1fdf3bb24125b089e14a31fdb895 = $('<div id="html_bc6d1fdf3bb24125b089e14a31fdb895" style="width: 100.0%; height: 100.0%;">Humberlea, Emery Cluster 2</div>')[0];
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            circle_marker_d57c9d69dd5e48bc8871d08df703fdbf.bindPopup(popup_9731934d72d94fe5bea6f801131fd6ca);

            
        
    
            var circle_marker_5de14c24ee464851878fdbe207af60e0 = L.circleMarker(
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}
                ).addTo(map_0b471281423340e283c8524c77faa236);
            
    
            var popup_fa9821c712274b5192e21d550952610f = L.popup({maxWidth: '300'});

            
                var html_02ca79c9c41c4821acc0108f7bc59bc6 = $('<div id="html_02ca79c9c41c4821acc0108f7bc59bc6" style="width: 100.0%; height: 100.0%;">Weston Cluster 4</div>')[0];
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            circle_marker_5de14c24ee464851878fdbe207af60e0.bindPopup(popup_fa9821c712274b5192e21d550952610f);

            
        
    
            var circle_marker_98286f893ced44629245ab1cf660aaea = L.circleMarker(
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                {
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  "fillRule": "evenodd",
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}
                ).addTo(map_0b471281423340e283c8524c77faa236);
            
    
            var popup_a52cb3af2f3748758a979de63b3b9909 = L.popup({maxWidth: '300'});

            
                var html_11fcbd6b9b6646488bed6d2e7850c0b7 = $('<div id="html_11fcbd6b9b6646488bed6d2e7850c0b7" style="width: 100.0%; height: 100.0%;">Westmount Cluster 1</div>')[0];
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            circle_marker_98286f893ced44629245ab1cf660aaea.bindPopup(popup_a52cb3af2f3748758a979de63b3b9909);

            
        
    
            var circle_marker_427dab0d0b754c1389877172a5ff11b3 = L.circleMarker(
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  "fill": true,
  "fillColor": "#8000ff",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
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  "opacity": 1.0,
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                ).addTo(map_0b471281423340e283c8524c77faa236);
            
    
            var popup_d1f90f00415f43bb839dffd5a3fa552a = L.popup({maxWidth: '300'});

            
                var html_e71016b3bf7647d2bca642d33f96a28d = $('<div id="html_e71016b3bf7647d2bca642d33f96a28d" style="width: 100.0%; height: 100.0%;">Kingsview Village, St. Phillips, Martin Grove Gardens, Richview Gardens Cluster 1</div>')[0];
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            circle_marker_427dab0d0b754c1389877172a5ff11b3.bindPopup(popup_d1f90f00415f43bb839dffd5a3fa552a);

            
        
    
            var circle_marker_6a1a6f87677f49b98aedc11e63489587 = L.circleMarker(
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                {
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  "fill": true,
  "fillColor": "#8000ff",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
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                ).addTo(map_0b471281423340e283c8524c77faa236);
            
    
            var popup_e08ec2968cb24ff0be3d94c5513d780c = L.popup({maxWidth: '300'});

            
                var html_2a8271a3b37a4dafb1870a5f77eb704b = $('<div id="html_2a8271a3b37a4dafb1870a5f77eb704b" style="width: 100.0%; height: 100.0%;">South Steeles, Silverstone, Humbergate, Jamestown, Mount Olive, Beaumond Heights, Thistletown, Albion Gardens Cluster 1</div>')[0];
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            circle_marker_6a1a6f87677f49b98aedc11e63489587.bindPopup(popup_e08ec2968cb24ff0be3d94c5513d780c);

            
        
    
            var circle_marker_c82409a4350347988fc3731d0ffe1c06 = L.circleMarker(
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  "dashOffset": null,
  "fill": true,
  "fillColor": "#8000ff",
  "fillOpacity": 0.7,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
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  "stroke": true,
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}
                ).addTo(map_0b471281423340e283c8524c77faa236);
            
    
            var popup_ea4ca91086d24be08f588d07ede81d7c = L.popup({maxWidth: '300'});

            
                var html_4603cfcda2884aebb270a810a551be3e = $('<div id="html_4603cfcda2884aebb270a810a551be3e" style="width: 100.0%; height: 100.0%;">Northwest, West Humber - Clairville Cluster 1</div>')[0];
                popup_ea4ca91086d24be08f588d07ede81d7c.setContent(html_4603cfcda2884aebb270a810a551be3e);
            

            circle_marker_c82409a4350347988fc3731d0ffe1c06.bindPopup(popup_ea4ca91086d24be08f588d07ede81d7c);

            
        
</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 0x7fcdca75abe0>"
      ]
     },
     "execution_count": 41,
     "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['Neighborhood'], toronto_merged['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Examine clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>0</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "94  Etobicoke               0         Jewelry Store             Drugstore   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "94                 Diner        Discount Store   Distribution Center   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "94               Dog Run      Doner Restaurant            Donut Shop   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "94           Yoga Studio         Farmers Market  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 0, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Fabric Shop</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Medical Center</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Korean Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Hakka Restaurant</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Soccer Field</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Bus Station</td>\n",
       "      <td>Metro Station</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Park</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Motel</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>College Stadium</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>General Entertainment</td>\n",
       "      <td>Café</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Gluten-free Restaurant</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Auto Garage</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Latin American Restaurant</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Noodle House</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Gas Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Golf Course</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Shoe Store</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Juice Bar</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Ramen Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Park</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Bridal Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Massage Studio</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Metro Station</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Park</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Food Truck</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Portuguese Restaurant</td>\n",
       "      <td>Hockey Arena</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>East York</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>East York</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Video Store</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "      <td>Curling Ice</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Health Food Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>East York</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Shopping Mall</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bike Shop</td>\n",
       "      <td>Smoothie Shop</td>\n",
       "      <td>Bagel Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>East York</td>\n",
       "      <td>1</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Housing Development</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Lounge</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Board Shop</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Fish &amp; Chips Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Gastropub</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Swim School</td>\n",
       "      <td>Photography Studio</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Gas Station</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Tennis Court</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bagel Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Sports Bar</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Park</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Gay Bar</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Café</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Park</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Theater</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Creperie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Cocktail Bar</td>\n",
       "      <td>Cheese Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Department Store</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Steakhouse</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Aquarium</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Plaza</td>\n",
       "      <td>Sporting Goods Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Salad Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Beer Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Spa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Garden</td>\n",
       "      <td>Home Service</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Jewelry Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Central Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Indian Restaurant</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</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>Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Vegetarian / Vegan Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Gaming Cafe</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Airport Service</td>\n",
       "      <td>Airport Lounge</td>\n",
       "      <td>Harbor / Marina</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Boat or Ferry</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "      <td>Plane</td>\n",
       "      <td>Airport Terminal</td>\n",
       "      <td>Airport Food Court</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Beer Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Seafood Restaurant</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Clothing Store</td>\n",
       "      <td>Accessories Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Boutique</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "      <td>Furniture / Home Store</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Japanese Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Café</td>\n",
       "      <td>Park</td>\n",
       "      <td>Candy Store</td>\n",
       "      <td>Baby Store</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Music Venue</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Supermarket</td>\n",
       "      <td>Café</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bank</td>\n",
       "      <td>Pet Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Men's Store</td>\n",
       "      <td>Vietnamese Restaurant</td>\n",
       "      <td>Café</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Nightclub</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Stadium</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Basketball Court</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>York</td>\n",
       "      <td>1</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>York</td>\n",
       "      <td>1</td>\n",
       "      <td>Caribbean Restaurant</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Flea Market</td>\n",
       "      <td>Speakeasy</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "      <td>Gift Shop</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Bookstore</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Movie Theater</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>West Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Indie Movie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>College Auditorium</td>\n",
       "      <td>Bar</td>\n",
       "      <td>Beer Bar</td>\n",
       "      <td>Smoothie Shop</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Mississauga</td>\n",
       "      <td>1</td>\n",
       "      <td>Hotel</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Gym</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Middle Eastern Restaurant</td>\n",
       "      <td>Gas Station</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Mediterranean Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>East Toronto</td>\n",
       "      <td>1</td>\n",
       "      <td>Light Rail Station</td>\n",
       "      <td>Garden Center</td>\n",
       "      <td>Brewery</td>\n",
       "      <td>Farmers Market</td>\n",
       "      <td>Spa</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Restaurant</td>\n",
       "      <td>Recording Studio</td>\n",
       "      <td>Auto Workshop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Café</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>American Restaurant</td>\n",
       "      <td>Bakery</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Gym</td>\n",
       "      <td>Skating Rink</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Pub</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dessert Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Burrito Place</td>\n",
       "      <td>Tanning Salon</td>\n",
       "      <td>Burger Joint</td>\n",
       "      <td>Flower Shop</td>\n",
       "      <td>Supplement Shop</td>\n",
       "      <td>Social Club</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Pet Store</td>\n",
       "      <td>Liquor Store</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Café</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>North York</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Coffee Shop</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Distribution Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Park</td>\n",
       "      <td>Bus Line</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Yoga Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Grocery Store</td>\n",
       "      <td>Pharmacy</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "      <td>Pizza Place</td>\n",
       "      <td>Beer Store</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "      <td>Sandwich Place</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>1</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Rental Car Location</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "0         Scarborough               1  Fast Food Restaurant   \n",
       "1         Scarborough               1          Home Service   \n",
       "2         Scarborough               1   Rental Car Location   \n",
       "3         Scarborough               1           Coffee Shop   \n",
       "4         Scarborough               1      Hakka Restaurant   \n",
       "6         Scarborough               1        Discount Store   \n",
       "7         Scarborough               1              Bus Line   \n",
       "8         Scarborough               1                 Motel   \n",
       "9         Scarborough               1       College Stadium   \n",
       "10        Scarborough               1     Indian Restaurant   \n",
       "11        Scarborough               1           Auto Garage   \n",
       "12        Scarborough               1        Clothing Store   \n",
       "13        Scarborough               1           Pizza Place   \n",
       "15        Scarborough               1           Coffee Shop   \n",
       "17         North York               1                  Pool   \n",
       "18         North York               1        Clothing Store   \n",
       "19         North York               1                  Café   \n",
       "22         North York               1      Ramen Restaurant   \n",
       "24         North York               1         Grocery Store   \n",
       "26         North York               1                   Gym   \n",
       "27         North York               1                   Gym   \n",
       "28         North York               1           Coffee Shop   \n",
       "29         North York               1  Caribbean Restaurant   \n",
       "30         North York               1         Grocery Store   \n",
       "31         North York               1         Grocery Store   \n",
       "32         North York               1         Grocery Store   \n",
       "33         North York               1         Grocery Store   \n",
       "34         North York               1           Pizza Place   \n",
       "35          East York               1           Pizza Place   \n",
       "36          East York               1                  Park   \n",
       "37       East Toronto               1                 Trail   \n",
       "38          East York               1           Coffee Shop   \n",
       "39          East York               1     Indian Restaurant   \n",
       "41       East Toronto               1      Greek Restaurant   \n",
       "42       East Toronto               1                   Pub   \n",
       "43       East Toronto               1                  Café   \n",
       "44    Central Toronto               1                  Park   \n",
       "45    Central Toronto               1  Gym / Fitness Center   \n",
       "46    Central Toronto               1           Coffee Shop   \n",
       "47    Central Toronto               1           Pizza Place   \n",
       "48    Central Toronto               1                  Park   \n",
       "49    Central Toronto               1                   Pub   \n",
       "51   Downtown Toronto               1           Pizza Place   \n",
       "52   Downtown Toronto               1           Coffee Shop   \n",
       "53   Downtown Toronto               1           Coffee Shop   \n",
       "54   Downtown Toronto               1        Clothing Store   \n",
       "55   Downtown Toronto               1            Restaurant   \n",
       "56   Downtown Toronto               1           Coffee Shop   \n",
       "57   Downtown Toronto               1           Coffee Shop   \n",
       "58   Downtown Toronto               1           Coffee Shop   \n",
       "59   Downtown Toronto               1           Coffee Shop   \n",
       "60   Downtown Toronto               1           Coffee Shop   \n",
       "61   Downtown Toronto               1           Coffee Shop   \n",
       "62         North York               1      Sushi Restaurant   \n",
       "63    Central Toronto               1                Garden   \n",
       "64    Central Toronto               1                 Trail   \n",
       "65    Central Toronto               1        Sandwich Place   \n",
       "66   Downtown Toronto               1                  Café   \n",
       "67   Downtown Toronto               1                  Café   \n",
       "68   Downtown Toronto               1       Airport Service   \n",
       "69   Downtown Toronto               1           Coffee Shop   \n",
       "70   Downtown Toronto               1           Coffee Shop   \n",
       "71         North York               1        Clothing Store   \n",
       "72         North York               1                  Park   \n",
       "75   Downtown Toronto               1         Grocery Store   \n",
       "76       West Toronto               1                Bakery   \n",
       "77       West Toronto               1                   Bar   \n",
       "78       West Toronto               1                  Café   \n",
       "79         North York               1                  Park   \n",
       "80               York               1            Restaurant   \n",
       "81               York               1  Caribbean Restaurant   \n",
       "82       West Toronto               1                  Café   \n",
       "83       West Toronto               1        Breakfast Spot   \n",
       "84       West Toronto               1                  Café   \n",
       "85   Downtown Toronto               1           Coffee Shop   \n",
       "86        Mississauga               1                 Hotel   \n",
       "87       East Toronto               1    Light Rail Station   \n",
       "88          Etobicoke               1                  Café   \n",
       "89          Etobicoke               1           Pizza Place   \n",
       "92          Etobicoke               1         Grocery Store   \n",
       "95          Etobicoke               1             Pet Store   \n",
       "96         North York               1           Pizza Place   \n",
       "99          Etobicoke               1           Pizza Place   \n",
       "100         Etobicoke               1                  Park   \n",
       "101         Etobicoke               1         Grocery Store   \n",
       "102         Etobicoke               1             Drugstore   \n",
       "\n",
       "             2nd Most Common Venue     3rd Most Common Venue  \\\n",
       "0                     Dessert Shop               Fabric Shop   \n",
       "1                              Bar               Golf Course   \n",
       "2                   Medical Center                      Bank   \n",
       "3                Korean Restaurant               Yoga Studio   \n",
       "4                      Gas Station                      Bank   \n",
       "6                 Department Store               Bus Station   \n",
       "7                           Bakery              Soccer Field   \n",
       "8                     Intersection       American Restaurant   \n",
       "9                     Skating Rink     General Entertainment   \n",
       "10                       Pet Store     Vietnamese Restaurant   \n",
       "11                          Bakery            Breakfast Spot   \n",
       "12                    Skating Rink            Breakfast Spot   \n",
       "13                            Bank        Chinese Restaurant   \n",
       "15            Fast Food Restaurant        Chinese Restaurant   \n",
       "17                     Golf Course  Mediterranean Restaurant   \n",
       "18                     Coffee Shop      Fast Food Restaurant   \n",
       "19                            Bank        Chinese Restaurant   \n",
       "22                     Coffee Shop               Pizza Place   \n",
       "24                            Bank                  Pharmacy   \n",
       "26                     Coffee Shop                Restaurant   \n",
       "27                     Coffee Shop                Restaurant   \n",
       "28                            Bank                      Park   \n",
       "29          Furniture / Home Store            Massage Studio   \n",
       "30                            Park              Home Service   \n",
       "31                            Park              Home Service   \n",
       "32                            Park              Home Service   \n",
       "33                            Park              Home Service   \n",
       "34                     Coffee Shop     Portuguese Restaurant   \n",
       "35                  Breakfast Spot                  Pharmacy   \n",
       "36                    Skating Rink                Beer Store   \n",
       "37                             Pub         Health Food Store   \n",
       "38             Sporting Goods Shop    Furniture / Home Store   \n",
       "39                  Sandwich Place                  Pharmacy   \n",
       "41              Italian Restaurant               Coffee Shop   \n",
       "42               Food & Drink Shop            Sandwich Place   \n",
       "43                     Coffee Shop                    Bakery   \n",
       "44                     Swim School        Photography Studio   \n",
       "45               Food & Drink Shop                      Park   \n",
       "46                  Clothing Store               Yoga Studio   \n",
       "47                  Sandwich Place              Dessert Shop   \n",
       "48                             Gym              Tennis Court   \n",
       "49                     Coffee Shop                Bagel Shop   \n",
       "51                     Coffee Shop                    Bakery   \n",
       "52             Japanese Restaurant          Sushi Restaurant   \n",
       "53                          Bakery                       Pub   \n",
       "54                     Coffee Shop                      Café   \n",
       "55                            Café               Coffee Shop   \n",
       "56                          Bakery              Cocktail Bar   \n",
       "57                  Sandwich Place                      Café   \n",
       "58                            Café                     Hotel   \n",
       "59                        Aquarium                     Hotel   \n",
       "60                           Hotel                      Café   \n",
       "61                            Café                Restaurant   \n",
       "62                  Sandwich Place        Italian Restaurant   \n",
       "63                    Home Service               Yoga Studio   \n",
       "64                Sushi Restaurant        Mexican Restaurant   \n",
       "65                            Café               Coffee Shop   \n",
       "66                       Bookstore                       Bar   \n",
       "67   Vegetarian / Vegan Restaurant               Coffee Shop   \n",
       "68                  Airport Lounge           Harbor / Marina   \n",
       "69                            Café        Italian Restaurant   \n",
       "70                            Café                     Hotel   \n",
       "71               Accessories Store               Coffee Shop   \n",
       "72                     Pizza Place                       Pub   \n",
       "75                            Café                      Park   \n",
       "76                        Pharmacy             Grocery Store   \n",
       "77                Asian Restaurant               Coffee Shop   \n",
       "78                  Breakfast Spot               Coffee Shop   \n",
       "79                Basketball Court                    Bakery   \n",
       "80                  Discount Store               Coffee Shop   \n",
       "81                  Breakfast Spot                   Brewery   \n",
       "82                 Thai Restaurant        Mexican Restaurant   \n",
       "83                       Gift Shop              Dessert Shop   \n",
       "84                     Coffee Shop        Italian Restaurant   \n",
       "85                           Diner               Yoga Studio   \n",
       "86                     Coffee Shop                       Gym   \n",
       "87                   Garden Center                   Brewery   \n",
       "88             Fried Chicken Joint       American Restaurant   \n",
       "89                             Gym              Skating Rink   \n",
       "92                  Sandwich Place            Discount Store   \n",
       "95                    Liquor Store                  Pharmacy   \n",
       "96                     Yoga Studio                 Drugstore   \n",
       "99                    Intersection            Discount Store   \n",
       "100                       Bus Line               Pizza Place   \n",
       "101                       Pharmacy      Fast Food Restaurant   \n",
       "102            Rental Car Location                Donut Shop   \n",
       "\n",
       "          4th Most Common Venue      5th Most Common Venue  \\\n",
       "0                   Event Space       Ethiopian Restaurant   \n",
       "1                   Yoga Studio             Discount Store   \n",
       "2                  Intersection         Mexican Restaurant   \n",
       "3                     Drugstore             Discount Store   \n",
       "4                        Bakery        Fried Chicken Joint   \n",
       "6             Convenience Store         Chinese Restaurant   \n",
       "7                Ice Cream Shop                Bus Station   \n",
       "8                   Yoga Studio                 Donut Shop   \n",
       "9                          Café       Ethiopian Restaurant   \n",
       "10           Chinese Restaurant         Light Rail Station   \n",
       "11        Vietnamese Restaurant  Middle Eastern Restaurant   \n",
       "12                       Lounge  Latin American Restaurant   \n",
       "13                 Intersection                   Pharmacy   \n",
       "15               Breakfast Spot             Discount Store   \n",
       "17                      Dog Run                 Donut Shop   \n",
       "18                   Restaurant        Japanese Restaurant   \n",
       "19          Japanese Restaurant                      Diner   \n",
       "22                         Café                 Restaurant   \n",
       "24                  Pizza Place                Coffee Shop   \n",
       "26                   Beer Store        Japanese Restaurant   \n",
       "27                   Beer Store        Japanese Restaurant   \n",
       "28          Fried Chicken Joint                Bridal Shop   \n",
       "29                          Bar         Miscellaneous Shop   \n",
       "30               Discount Store          Electronics Store   \n",
       "31               Discount Store          Electronics Store   \n",
       "32               Discount Store          Electronics Store   \n",
       "33               Discount Store          Electronics Store   \n",
       "34                 Hockey Arena                Yoga Studio   \n",
       "35                 Intersection         Athletics & Sports   \n",
       "36                  Video Store         Athletics & Sports   \n",
       "37                  Yoga Studio         Dim Sum Restaurant   \n",
       "38                         Bank               Burger Joint   \n",
       "39                 Intersection  Middle Eastern Restaurant   \n",
       "41                   Restaurant             Ice Cream Shop   \n",
       "42                   Board Shop              Burrito Place   \n",
       "43                    Gastropub                    Brewery   \n",
       "44                     Bus Line           Doner Restaurant   \n",
       "45             Department Store             Breakfast Spot   \n",
       "46          Sporting Goods Shop       Gym / Fitness Center   \n",
       "47                  Coffee Shop           Sushi Restaurant   \n",
       "48                   Restaurant                    Dog Run   \n",
       "49                  Pizza Place               Liquor Store   \n",
       "51                   Restaurant          Convenience Store   \n",
       "52                      Gay Bar                 Restaurant   \n",
       "53                         Park                    Theater   \n",
       "54               Cosmetics Shop        Japanese Restaurant   \n",
       "55               Clothing Store               Cocktail Bar   \n",
       "56                  Cheese Shop                       Café   \n",
       "57           Italian Restaurant           Department Store   \n",
       "58                   Restaurant                        Gym   \n",
       "59                         Café             Scenic Lookout   \n",
       "60                   Restaurant                Salad Place   \n",
       "61                        Hotel        American Restaurant   \n",
       "62                   Restaurant                Coffee Shop   \n",
       "63                 Dessert Shop                      Diner   \n",
       "64                Jewelry Store                Yoga Studio   \n",
       "65                         Park                Pizza Place   \n",
       "66          Japanese Restaurant             Sandwich Place   \n",
       "67                          Bar         Mexican Restaurant   \n",
       "68                     Boutique                Coffee Shop   \n",
       "69          Japanese Restaurant         Seafood Restaurant   \n",
       "70          Japanese Restaurant                        Gym   \n",
       "71                     Boutique         Miscellaneous Shop   \n",
       "72          Japanese Restaurant                    Dog Run   \n",
       "75                  Candy Store                 Baby Store   \n",
       "76                  Music Venue  Middle Eastern Restaurant   \n",
       "77                   Restaurant                Men's Store   \n",
       "78                    Nightclub              Burrito Place   \n",
       "79   Construction & Landscaping             Discount Store   \n",
       "80               Sandwich Place          Convenience Store   \n",
       "81                  Yoga Studio                 Donut Shop   \n",
       "82                   Restaurant                        Bar   \n",
       "83             Cuban Restaurant                        Bar   \n",
       "84                Grocery Store                Pizza Place   \n",
       "85           College Auditorium                        Bar   \n",
       "86          American Restaurant               Intersection   \n",
       "87               Farmers Market                        Spa   \n",
       "88                       Bakery               Liquor Store   \n",
       "89                     Pharmacy                Coffee Shop   \n",
       "92                Burrito Place              Tanning Salon   \n",
       "95                  Pizza Place                 Beer Store   \n",
       "96                        Diner             Discount Store   \n",
       "99                  Coffee Shop         Chinese Restaurant   \n",
       "100              Sandwich Place                    Dog Run   \n",
       "101                 Pizza Place                 Beer Store   \n",
       "102                       Diner             Discount Store   \n",
       "\n",
       "         6th Most Common Venue        7th Most Common Venue  \\\n",
       "0            Electronics Store  Eastern European Restaurant   \n",
       "1          Distribution Center                      Dog Run   \n",
       "2                   Restaurant               Breakfast Spot   \n",
       "3          Distribution Center                      Dog Run   \n",
       "4         Caribbean Restaurant           Athletics & Sports   \n",
       "6                  Coffee Shop                   Donut Shop   \n",
       "7                Metro Station                 Intersection   \n",
       "8               Discount Store          Distribution Center   \n",
       "9            Electronics Store  Eastern European Restaurant   \n",
       "10      Gluten-free Restaurant                    Gift Shop   \n",
       "11              Sandwich Place                  Yoga Studio   \n",
       "12        Ethiopian Restaurant                  Event Space   \n",
       "13          Italian Restaurant                 Noodle House   \n",
       "15               Grocery Store                     Pharmacy   \n",
       "17          Dim Sum Restaurant                        Diner   \n",
       "18                  Shoe Store                         Bank   \n",
       "19              Discount Store          Distribution Center   \n",
       "22            Sushi Restaurant               Sandwich Place   \n",
       "24                Home Service                   Donut Shop   \n",
       "26                        Café               Sandwich Place   \n",
       "27                        Café               Sandwich Place   \n",
       "28              Sandwich Place                        Diner   \n",
       "29                 Coffee Shop                Metro Station   \n",
       "30                Liquor Store                Shopping Mall   \n",
       "31                Liquor Store                Shopping Mall   \n",
       "32                Liquor Store                Shopping Mall   \n",
       "33                Liquor Store                Shopping Mall   \n",
       "34            Doner Restaurant           Dim Sum Restaurant   \n",
       "35                        Bank                    Gastropub   \n",
       "36                 Curling Ice             Doner Restaurant   \n",
       "37                       Diner               Discount Store   \n",
       "38               Shopping Mall                   Restaurant   \n",
       "39                 Supermarket                         Bank   \n",
       "41      Furniture / Home Store                       Lounge   \n",
       "42                  Restaurant         Fast Food Restaurant   \n",
       "43         American Restaurant                  Yoga Studio   \n",
       "44                       Diner               Discount Store   \n",
       "45                       Hotel               Sandwich Place   \n",
       "46                   Gift Shop         Fast Food Restaurant   \n",
       "47          Italian Restaurant                         Café   \n",
       "48                Dessert Shop           Dim Sum Restaurant   \n",
       "49                  Restaurant                   Sports Bar   \n",
       "51          Chinese Restaurant                         Park   \n",
       "52                 Yoga Studio              Bubble Tea Shop   \n",
       "53              Breakfast Spot                   Restaurant   \n",
       "54             Bubble Tea Shop           Italian Restaurant   \n",
       "55              Cosmetics Shop          American Restaurant   \n",
       "56                  Restaurant               Farmers Market   \n",
       "57                 Salad Place              Bubble Tea Shop   \n",
       "58              Clothing Store              Thai Restaurant   \n",
       "59                  Restaurant                      Brewery   \n",
       "60          Italian Restaurant          Japanese Restaurant   \n",
       "61                         Gym          Japanese Restaurant   \n",
       "62                 Pizza Place                     Pharmacy   \n",
       "63              Discount Store          Distribution Center   \n",
       "64              Discount Store          Distribution Center   \n",
       "65                  Donut Shop                 Burger Joint   \n",
       "66                  Restaurant                       Bakery   \n",
       "67       Vietnamese Restaurant                 Dessert Shop   \n",
       "68               Boat or Ferry             Sculpture Garden   \n",
       "69                  Restaurant                          Gym   \n",
       "70                  Restaurant          American Restaurant   \n",
       "71      Furniture / Home Store                  Event Space   \n",
       "72          Dim Sum Restaurant                        Diner   \n",
       "75          Italian Restaurant                    Nightclub   \n",
       "76                 Supermarket                         Café   \n",
       "77       Vietnamese Restaurant                         Café   \n",
       "78                  Restaurant           Italian Restaurant   \n",
       "79         Distribution Center                      Dog Run   \n",
       "80            Doner Restaurant           Dim Sum Restaurant   \n",
       "81              Discount Store          Distribution Center   \n",
       "82                 Flea Market                    Speakeasy   \n",
       "83                   Bookstore           Italian Restaurant   \n",
       "84                         Pub             Sushi Restaurant   \n",
       "85                    Beer Bar                Smoothie Shop   \n",
       "86   Middle Eastern Restaurant                  Gas Station   \n",
       "87        Fast Food Restaurant                Burrito Place   \n",
       "88          Mexican Restaurant                  Coffee Shop   \n",
       "89                         Pub               Sandwich Place   \n",
       "92                Burger Joint                  Flower Shop   \n",
       "95           Convenience Store                  Coffee Shop   \n",
       "96         Distribution Center                      Dog Run   \n",
       "99              Sandwich Place                  Yoga Studio   \n",
       "100         Dim Sum Restaurant                        Diner   \n",
       "101             Discount Store          Fried Chicken Joint   \n",
       "102        Distribution Center                      Dog Run   \n",
       "\n",
       "       8th Most Common Venue        9th Most Common Venue  \\\n",
       "0        Dumpling Restaurant                    Drugstore   \n",
       "1           Doner Restaurant                   Donut Shop   \n",
       "2          Electronics Store                    Drugstore   \n",
       "3           Doner Restaurant                   Donut Shop   \n",
       "4            Thai Restaurant                       Lounge   \n",
       "6        Distribution Center                      Dog Run   \n",
       "7                       Park        General Entertainment   \n",
       "8                    Dog Run             Doner Restaurant   \n",
       "9        Dumpling Restaurant                    Drugstore   \n",
       "10      Ethiopian Restaurant            Electronics Store   \n",
       "11                Donut Shop          Distribution Center   \n",
       "12         Electronics Store  Eastern European Restaurant   \n",
       "13         Convenience Store         Fast Food Restaurant   \n",
       "15               Pizza Place              Bubble Tea Shop   \n",
       "17            Discount Store          Distribution Center   \n",
       "18                 Juice Bar                       Bakery   \n",
       "19                   Dog Run             Doner Restaurant   \n",
       "22             Shopping Mall                   Steakhouse   \n",
       "24                     Diner               Discount Store   \n",
       "26            Clothing Store               Baseball Field   \n",
       "27            Clothing Store               Baseball Field   \n",
       "28                Restaurant                Deli / Bodega   \n",
       "29               Yoga Studio             Doner Restaurant   \n",
       "30                Food Truck               Baseball Field   \n",
       "31                Food Truck               Baseball Field   \n",
       "32                Food Truck               Baseball Field   \n",
       "33                Food Truck               Baseball Field   \n",
       "34                     Diner               Discount Store   \n",
       "35                 Pet Store         Gym / Fitness Center   \n",
       "36                     Diner               Discount Store   \n",
       "37       Distribution Center                      Dog Run   \n",
       "38                 Bike Shop                Smoothie Shop   \n",
       "39       Housing Development                 Liquor Store   \n",
       "41                   Brewery                    Bookstore   \n",
       "42        Italian Restaurant                 Intersection   \n",
       "43         Convenience Store           Seafood Restaurant   \n",
       "44       Distribution Center                      Dog Run   \n",
       "45            Discount Store          Distribution Center   \n",
       "46                     Diner           Mexican Restaurant   \n",
       "47                       Gym                        Diner   \n",
       "48                     Diner               Discount Store   \n",
       "49                      Café                         Bank   \n",
       "51                      Café           Italian Restaurant   \n",
       "52                       Pub                         Café   \n",
       "53                      Café                         Bank   \n",
       "54                   Theater         Fast Food Restaurant   \n",
       "55                     Diner             Department Store   \n",
       "56                  Beer Bar           Seafood Restaurant   \n",
       "57              Burger Joint          Japanese Restaurant   \n",
       "58                       Bar                   Steakhouse   \n",
       "59       Fried Chicken Joint                        Plaza   \n",
       "60       American Restaurant           Seafood Restaurant   \n",
       "61        Italian Restaurant           Seafood Restaurant   \n",
       "62   Comfort Food Restaurant         Fast Food Restaurant   \n",
       "63                   Dog Run             Doner Restaurant   \n",
       "64                   Dog Run             Doner Restaurant   \n",
       "65         Indian Restaurant    Middle Eastern Restaurant   \n",
       "66               Coffee Shop           Chinese Restaurant   \n",
       "67               Gaming Cafe                  Pizza Place   \n",
       "68                     Plane             Airport Terminal   \n",
       "69                       Pub                        Hotel   \n",
       "70        Seafood Restaurant             Asian Restaurant   \n",
       "71             Women's Store        Vietnamese Restaurant   \n",
       "72            Discount Store          Distribution Center   \n",
       "75               Coffee Shop                   Restaurant   \n",
       "76                       Bar                         Bank   \n",
       "77               Yoga Studio               Ice Cream Shop   \n",
       "78                   Stadium                 Intersection   \n",
       "79          Doner Restaurant                   Donut Shop   \n",
       "80                     Diner          Distribution Center   \n",
       "81                   Dog Run             Doner Restaurant   \n",
       "82        Italian Restaurant                    Bookstore   \n",
       "83                   Dog Run                Movie Theater   \n",
       "84                       Bar                        Diner   \n",
       "85            Sandwich Place                Burrito Place   \n",
       "86             Burrito Place               Sandwich Place   \n",
       "87                Restaurant             Recording Studio   \n",
       "88               Pizza Place         Fast Food Restaurant   \n",
       "89       Distribution Center                 Dessert Shop   \n",
       "92           Supplement Shop                  Social Club   \n",
       "95                      Café             Doner Restaurant   \n",
       "96          Doner Restaurant                   Donut Shop   \n",
       "99                   Dog Run                        Diner   \n",
       "100           Discount Store          Distribution Center   \n",
       "101           Sandwich Place                      Dog Run   \n",
       "102         Doner Restaurant                  Yoga Studio   \n",
       "\n",
       "          10th Most Common Venue  \n",
       "0                     Donut Shop  \n",
       "1                      Drugstore  \n",
       "2            Dumpling Restaurant  \n",
       "3    Eastern European Restaurant  \n",
       "4               Cuban Restaurant  \n",
       "6               Doner Restaurant  \n",
       "7                   Dessert Shop  \n",
       "8                      Drugstore  \n",
       "9                   Dessert Shop  \n",
       "10   Eastern European Restaurant  \n",
       "11                       Dog Run  \n",
       "12                         Diner  \n",
       "13                   Gas Station  \n",
       "15                          Bank  \n",
       "17              Doner Restaurant  \n",
       "18             Convenience Store  \n",
       "19                   Yoga Studio  \n",
       "22                Ice Cream Shop  \n",
       "24           Distribution Center  \n",
       "26                   Supermarket  \n",
       "27                   Supermarket  \n",
       "28     Middle Eastern Restaurant  \n",
       "29           Distribution Center  \n",
       "30                          Bank  \n",
       "31                          Bank  \n",
       "32                          Bank  \n",
       "33                          Bank  \n",
       "34           Distribution Center  \n",
       "35   Eastern European Restaurant  \n",
       "36           Distribution Center  \n",
       "37              Doner Restaurant  \n",
       "38                    Bagel Shop  \n",
       "39                Discount Store  \n",
       "41                     Juice Bar  \n",
       "42             Fish & Chips Shop  \n",
       "43                Sandwich Place  \n",
       "44                    Donut Shop  \n",
       "45                       Dog Run  \n",
       "46                          Park  \n",
       "47                   Gas Station  \n",
       "48           Distribution Center  \n",
       "49                   Supermarket  \n",
       "51                           Pub  \n",
       "52                   Pizza Place  \n",
       "53            Mexican Restaurant  \n",
       "54                     Bookstore  \n",
       "55                      Creperie  \n",
       "56                 Grocery Store  \n",
       "57            Miscellaneous Shop  \n",
       "58                     Bookstore  \n",
       "59           Sporting Goods Shop  \n",
       "60                      Beer Bar  \n",
       "61                      Beer Bar  \n",
       "62                           Spa  \n",
       "63                    Donut Shop  \n",
       "64                    Donut Shop  \n",
       "65                           Pub  \n",
       "66                  Dessert Shop  \n",
       "67                  Burger Joint  \n",
       "68            Airport Food Court  \n",
       "69                      Beer Bar  \n",
       "70                    Steakhouse  \n",
       "71                         Diner  \n",
       "72              Doner Restaurant  \n",
       "75                         Diner  \n",
       "76                     Pet Store  \n",
       "77                   Pizza Place  \n",
       "78                           Bar  \n",
       "79                     Drugstore  \n",
       "80                       Dog Run  \n",
       "81           Dumpling Restaurant  \n",
       "82                 Grocery Store  \n",
       "83                    Restaurant  \n",
       "84           Indie Movie Theater  \n",
       "85                          Café  \n",
       "86      Mediterranean Restaurant  \n",
       "87                 Auto Workshop  \n",
       "88                      Pharmacy  \n",
       "89            Dim Sum Restaurant  \n",
       "92             Convenience Store  \n",
       "95                         Diner  \n",
       "96           Dumpling Restaurant  \n",
       "99           Distribution Center  \n",
       "100                  Yoga Studio  \n",
       "101           Dim Sum Restaurant  \n",
       "102                 Dessert Shop  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 1, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>2</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>North York</td>\n",
       "      <td>2</td>\n",
       "      <td>Fabric Shop</td>\n",
       "      <td>Baseball Field</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "91   Etobicoke               2        Baseball Field           Yoga Studio   \n",
       "97  North York               2           Fabric Shop        Baseball Field   \n",
       "\n",
       "   3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "91            Donut Shop                 Diner        Discount Store   \n",
       "97           Yoga Studio            Donut Shop                 Diner   \n",
       "\n",
       "   6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "91   Distribution Center               Dog Run      Doner Restaurant   \n",
       "97        Discount Store   Distribution Center               Dog Run   \n",
       "\n",
       "   9th Most Common Venue 10th Most Common Venue  \n",
       "91             Drugstore         Farmers Market  \n",
       "97      Doner Restaurant              Drugstore  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 2, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Cluster 4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>3</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Borough  Cluster Labels 1st Most Common Venue 2nd Most Common Venue  \\\n",
       "5  Scarborough               3            Playground           Yoga Studio   \n",
       "\n",
       "  3rd Most Common Venue 4th Most Common Venue 5th Most Common Venue  \\\n",
       "5             Drugstore                 Diner        Discount Store   \n",
       "\n",
       "  6th Most Common Venue 7th Most Common Venue 8th Most Common Venue  \\\n",
       "5   Distribution Center               Dog Run      Doner Restaurant   \n",
       "\n",
       "  9th Most Common Venue 10th Most Common Venue  \n",
       "5            Donut Shop    Dumpling Restaurant  "
      ]
     },
     "execution_count": 45,
     "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"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Borough</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>1st Most Common Venue</th>\n",
       "      <th>2nd Most Common Venue</th>\n",
       "      <th>3rd Most Common Venue</th>\n",
       "      <th>4th Most Common Venue</th>\n",
       "      <th>5th Most Common Venue</th>\n",
       "      <th>6th Most Common Venue</th>\n",
       "      <th>7th Most Common Venue</th>\n",
       "      <th>8th Most Common Venue</th>\n",
       "      <th>9th Most Common Venue</th>\n",
       "      <th>10th Most Common Venue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Scarborough</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>North York</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>North York</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>North York</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Construction &amp; Landscaping</td>\n",
       "      <td>Food &amp; Drink Shop</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>East York</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Intersection</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Donut Shop</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Downtown Toronto</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Playground</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>York</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Trail</td>\n",
       "      <td>Field</td>\n",
       "      <td>Hockey Arena</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>York</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Pool</td>\n",
       "      <td>Women's Store</td>\n",
       "      <td>Dim Sum Restaurant</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Etobicoke</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>River</td>\n",
       "      <td>Colombian Restaurant</td>\n",
       "      <td>Comfort Food Restaurant</td>\n",
       "      <td>Event Space</td>\n",
       "      <td>Ethiopian Restaurant</td>\n",
       "      <td>Electronics Store</td>\n",
       "      <td>Eastern European Restaurant</td>\n",
       "      <td>Dumpling Restaurant</td>\n",
       "      <td>Drugstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>York</td>\n",
       "      <td>4</td>\n",
       "      <td>Park</td>\n",
       "      <td>Convenience Store</td>\n",
       "      <td>Yoga Studio</td>\n",
       "      <td>Drugstore</td>\n",
       "      <td>Diner</td>\n",
       "      <td>Discount Store</td>\n",
       "      <td>Distribution Center</td>\n",
       "      <td>Dog Run</td>\n",
       "      <td>Doner Restaurant</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Borough  Cluster Labels 1st Most Common Venue  \\\n",
       "14       Scarborough               4                  Park   \n",
       "21        North York               4                  Park   \n",
       "23        North York               4                  Park   \n",
       "25        North York               4                  Park   \n",
       "40         East York               4                  Park   \n",
       "50  Downtown Toronto               4                  Park   \n",
       "73              York               4                  Park   \n",
       "74              York               4                  Park   \n",
       "90         Etobicoke               4                  Park   \n",
       "98              York               4                  Park   \n",
       "\n",
       "         2nd Most Common Venue 3rd Most Common Venue    4th Most Common Venue  \\\n",
       "14                  Playground            Donut Shop       Dim Sum Restaurant   \n",
       "21                 Yoga Studio             Drugstore                    Diner   \n",
       "23           Convenience Store           Yoga Studio                Drugstore   \n",
       "25  Construction & Landscaping     Food & Drink Shop              Yoga Studio   \n",
       "40                Intersection     Convenience Store              Yoga Studio   \n",
       "50                       Trail            Playground       Dim Sum Restaurant   \n",
       "73                       Trail                 Field             Hockey Arena   \n",
       "74                        Pool         Women's Store       Dim Sum Restaurant   \n",
       "90                       River  Colombian Restaurant  Comfort Food Restaurant   \n",
       "98           Convenience Store           Yoga Studio                Drugstore   \n",
       "\n",
       "   5th Most Common Venue 6th Most Common Venue 7th Most Common Venue  \\\n",
       "14                 Diner        Discount Store   Distribution Center   \n",
       "21        Discount Store   Distribution Center               Dog Run   \n",
       "23                 Diner        Discount Store   Distribution Center   \n",
       "25            Donut Shop                 Diner        Discount Store   \n",
       "40            Donut Shop                 Diner        Discount Store   \n",
       "50                 Diner        Discount Store   Distribution Center   \n",
       "73    Dim Sum Restaurant                 Diner        Discount Store   \n",
       "74                 Diner        Discount Store   Distribution Center   \n",
       "90           Event Space  Ethiopian Restaurant     Electronics Store   \n",
       "98                 Diner        Discount Store   Distribution Center   \n",
       "\n",
       "          8th Most Common Venue 9th Most Common Venue 10th Most Common Venue  \n",
       "14                      Dog Run      Doner Restaurant              Drugstore  \n",
       "21             Doner Restaurant            Donut Shop    Dumpling Restaurant  \n",
       "23                      Dog Run      Doner Restaurant             Donut Shop  \n",
       "25          Distribution Center               Dog Run       Doner Restaurant  \n",
       "40          Distribution Center               Dog Run       Doner Restaurant  \n",
       "50                      Dog Run      Doner Restaurant             Donut Shop  \n",
       "73          Distribution Center               Dog Run       Doner Restaurant  \n",
       "74                      Dog Run      Doner Restaurant             Donut Shop  \n",
       "90  Eastern European Restaurant   Dumpling Restaurant              Drugstore  \n",
       "98                      Dog Run      Doner Restaurant             Donut Shop  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toronto_merged.loc[toronto_merged['Cluster Labels'] == 4, toronto_merged.columns[[1] + list(range(5, toronto_merged.shape[1]))]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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