Segmenting and Clustering.ipynb

{
    "nbformat_minor": 1, 
    "cells": [
        {
            "source": "# Postal codes clustering of the city of Toronto, Canada, using the venues density\n\n## Introduction\n\nIn this notebook is presented the segmentation and clustering of the Postal codes division of the city of Toronto in the province of Ontario, Canada, extracted from \"List of postal codes of Canada: M\" in Wikipedia (https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M). The Foursquare API was used to find the venues on each postal code zone using a radius based on the area cover by each postcode without overlapping between them and a maximum number of venues per postal code of 100. Using K-Means clustering algorithm, the postal codes were grouped based on the venues density (venues/area) and the result was showed on a map of Toronto.\n\n## Table of Contents\n    \n1. <a href=\"#item1\">Extract data of Toronto neighborhoods from Wikipedia</a>\n\n2. <a href=\"#item2\">Explore and clean neighborhoods dataset</a>\n    \n3. <a href=\"#item3\">Get venues</a>\n    \n4. <a href=\"#item4\">Analyze venues dataset</a>\n    \n5. <a href=\"#item5\">Cluster Postcodes</a>\n    \n6. <a href=\"#item6\">Examine Clusters</a>\n", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 4, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Solving environment: done\n\n## Package Plan ##\n\n  environment location: /opt/conda/envs/Python36\n\n  added / updated specs: \n    - folium=0.5.0\n\n\nThe following packages will be downloaded:\n\n    package                    |            build\n    ---------------------------|-----------------\n    altair-3.2.0               |           py36_0         770 KB  conda-forge\n    folium-0.5.0               |             py_0          45 KB  conda-forge\n    ca-certificates-2019.9.11  |       hecc5488_0         144 KB  conda-forge\n    openssl-1.1.1c             |       h516909a_0         2.1 MB  conda-forge\n    vincent-0.4.4              |             py_1          28 KB  conda-forge\n    certifi-2019.9.11          |           py36_0         147 KB  conda-forge\n    branca-0.3.1               |             py_0          25 KB  conda-forge\n    ------------------------------------------------------------\n                                           Total:         3.3 MB\n\nThe following NEW packages will be INSTALLED:\n\n    altair:          3.2.0-py36_0      conda-forge\n    branca:          0.3.1-py_0        conda-forge\n    folium:          0.5.0-py_0        conda-forge\n    vincent:         0.4.4-py_1        conda-forge\n\nThe following packages will be UPDATED:\n\n    ca-certificates: 2019.5.15-1                   --> 2019.9.11-hecc5488_0 conda-forge\n    certifi:         2019.6.16-py36_1              --> 2019.9.11-py36_0     conda-forge\n\nThe following packages will be DOWNGRADED:\n\n    openssl:         1.1.1d-h7b6447c_1             --> 1.1.1c-h516909a_0    conda-forge\n\n\nDownloading and Extracting Packages\naltair-3.2.0         | 770 KB    | ##################################### | 100% \nfolium-0.5.0         | 45 KB     | ##################################### | 100% \nca-certificates-2019 | 144 KB    | ##################################### | 100% \nopenssl-1.1.1c       | 2.1 MB    | ##################################### | 100% \nvincent-0.4.4        | 28 KB     | ##################################### | 100% \ncertifi-2019.9.11    | 147 KB    | ##################################### | 100% \nbranca-0.3.1         | 25 KB     | ##################################### | 100% \nPreparing transaction: done\nVerifying transaction: done\nExecuting transaction: done\nLibraries imported.\n"
                }
            ], 
            "source": "import numpy as np # data in a vectorized manner manipulation\nimport pandas as pd # data analsysis\nfrom pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe\nimport json # JSON files manipulation\nimport requests # HTTP library\nfrom bs4 import BeautifulSoup # scraping library\n\nfrom sklearn.cluster import KMeans # clustering algorithm\n\npd.set_option('display.max_columns', None)\npd.set_option('display.max_rows', None)\n\n# Matplotlib and associated plotting modules\nimport matplotlib.cm as cm\nimport matplotlib.colors as colors\n\n!conda install -c conda-forge folium=0.5.0 --yes\nimport folium # map rendering library\n\nprint('Libraries imported.')"
        }, 
        {
            "source": "## 1. Extract data of Toronto neighborhoods from Wikipedia\n\nBeautifulSoup library is used to scrape the Wikipedia's article that contains the Toronto neighborhood. The neighborhood data presented in a Table on the article is parsed and stored in a list that contains each row of the table, that is the Postcode, Borough and Neighborhood name.", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 5, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 5, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "[['Postcode', 'Borough', 'Neighbourhood'],\n ['M1A', 'Not assigned', 'Not assigned'],\n ['M2A', 'Not assigned', 'Not assigned'],\n ['M3A', 'North York', 'Parkwoods'],\n ['M4A', 'North York', 'Victoria Village'],\n ['M5A', 'Downtown Toronto', 'Harbourfront'],\n ['M5A', 'Downtown Toronto', 'Regent Park'],\n ['M6A', 'North York', 'Lawrence Heights'],\n ['M6A', 'North York', 'Lawrence Manor'],\n ['M7A', \"Queen's Park\", 'Not assigned']]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "url = \"https://en.wikipedia.org/wiki/List_of_postal_codes_of_Canada:_M\"\n\ntext_result = requests.get(url).text #get the entire html of the article as a str\nhtml_parsed_result = BeautifulSoup(text_result, 'html.parser') #transform the text to html\n\nneightborhood_info_table = html_parsed_result.find('table', class_ = 'wikitable')\nneightborhood_rows = neightborhood_info_table.find_all('tr')\n\n# extract the info ('Postcode', 'Borough', 'Neighbourhood') from the table\nneightborhood_info = []\nfor row in neightborhood_rows:\n    info = row.text.split('\\n')[1:-1] # remove empty str (first and last items)\n    neightborhood_info.append(info)\n    \nneightborhood_info[0:10]"
        }, 
        {
            "source": "#### Transform the data into a *pandas* dataframe\nThen the neighborhood_info list is passed to pandas to create a DataFrame", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 6, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 6, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>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>Harbourfront</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Heights</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M7A</td>\n      <td>Queen's Park</td>\n      <td>Not assigned</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M8A</td>\n      <td>Not assigned</td>\n      <td>Not assigned</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postcode           Borough      Neighborhood\n0      M1A      Not assigned      Not assigned\n1      M2A      Not assigned      Not assigned\n2      M3A        North York         Parkwoods\n3      M4A        North York  Victoria Village\n4      M5A  Downtown Toronto      Harbourfront\n5      M5A  Downtown Toronto       Regent Park\n6      M6A        North York  Lawrence Heights\n7      M6A        North York    Lawrence Manor\n8      M7A      Queen's Park      Not assigned\n9      M8A      Not assigned      Not assigned"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "#create a Neighborhoods dataframe\nneightborhood_info[0][-1] = 'Neighborhood' # change to american spelling\nneighborhood_df = pd.DataFrame(neightborhood_info[1:], columns=neightborhood_info[0])\n\nneighborhood_df.head(10)"
        }, 
        {
            "source": "## 2. Explore and clean neighborhoods dataset\n\nThe data returned has missing info like \"Not assigned\" boroughs and neighborhoods.", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 17, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "The DataFrame shape is (211, 3) \n\nThere are:\n  103 Postal codes\n  10 Boroughs\n  208 Neighborhoods\n  0 rows with Not assigned Borough\n  0 rows with Not assigned Neighborhood\n  0 rows with Not assigned Neighborhood and Borough \n\n"
                }
            ], 
            "source": "not_assigned_boroughs = neighborhood_df.index[neighborhood_df['Borough'] == 'Not assigned']\nnot_assigned_neighborhoods = neighborhood_df.index[neighborhood_df['Neighborhood'] == 'Not assigned']\nnot_assigned_neighborhoods_and_borough = not_assigned_boroughs & not_assigned_neighborhoods\n\nprint('The DataFrame shape is {}'.format(neighborhood_df.shape),'\\n')\nprint('There are:')\nprint('  {} Postal codes'.format(neighborhood_df['Postcode'].unique().shape[0]))\nprint('  {} Boroughs'.format(neighborhood_df['Borough'].unique().shape[0] - 1)) # substract one because \"not assigned\" doesn't count\nprint('  {} Neighborhoods'.format(neighborhood_df['Neighborhood'].unique().shape[0] - 1)) # substract one because \"not assigned\" doesn't count\nprint('  {} rows with Not assigned Borough'.format(not_assigned_boroughs.shape[0]))\nprint('  {} rows with Not assigned Neighborhood'.format(not_assigned_neighborhoods.shape[0]))\nprint('  {} rows with Not assigned Neighborhood and Borough'.format(not_assigned_neighborhoods_and_borough.shape[0]),'\\n')"
        }, 
        {
            "execution_count": 18, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 18, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Harbourfront</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Heights</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M7A</td>\n      <td>Queen's Park</td>\n      <td>Queen's Park</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M9A</td>\n      <td>Etobicoke</td>\n      <td>Islington Avenue</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Malvern</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postcode           Borough      Neighborhood\n0      M3A        North York         Parkwoods\n1      M4A        North York  Victoria Village\n2      M5A  Downtown Toronto      Harbourfront\n3      M5A  Downtown Toronto       Regent Park\n4      M6A        North York  Lawrence Heights\n5      M6A        North York    Lawrence Manor\n6      M7A      Queen's Park      Queen's Park\n7      M9A         Etobicoke  Islington Avenue\n8      M1B       Scarborough             Rouge\n9      M1B       Scarborough           Malvern"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "neighborhood_df.drop(neighborhood_df.index[not_assigned_boroughs], inplace=True)\nneighborhood_df.reset_index(drop=True, inplace=True)\n\nneighborhood_df.head(10)"
        }, 
        {
            "execution_count": 19, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 19, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M3A</td>\n      <td>North York</td>\n      <td>Parkwoods</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M4A</td>\n      <td>North York</td>\n      <td>Victoria Village</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Harbourfront</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M5A</td>\n      <td>Downtown Toronto</td>\n      <td>Regent Park</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Heights</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M6A</td>\n      <td>North York</td>\n      <td>Lawrence Manor</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M7A</td>\n      <td>Queen's Park</td>\n      <td>Queen's Park</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M9A</td>\n      <td>Etobicoke</td>\n      <td>Islington Avenue</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Malvern</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postcode           Borough      Neighborhood\n0      M3A        North York         Parkwoods\n1      M4A        North York  Victoria Village\n2      M5A  Downtown Toronto      Harbourfront\n3      M5A  Downtown Toronto       Regent Park\n4      M6A        North York  Lawrence Heights\n5      M6A        North York    Lawrence Manor\n6      M7A      Queen's Park      Queen's Park\n7      M9A         Etobicoke  Islington Avenue\n8      M1B       Scarborough             Rouge\n9      M1B       Scarborough           Malvern"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "not_assigned_neighborhoods = neighborhood_df.index[neighborhood_df['Neighborhood'] == 'Not assigned'] # run this again because the indexes on the dataframe where reset\n\nfor idx in not_assigned_neighborhoods:\n    neighborhood_df['Neighborhood'][idx] = neighborhood_df['Borough'][idx]\n    \nneighborhood_df.head(10)"
        }, 
        {
            "execution_count": 20, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "After cleaning the DataFrame, its new shape is (211, 3) \n\nThere are:\n  103 Postal codes\n  11 Boroughs\n  209 Neighborhoods\n"
                }
            ], 
            "source": "print('After cleaning the DataFrame, its new shape is {}'.format(neighborhood_df.shape),'\\n')\nprint('There are:')\nprint('  {} Postal codes'.format(neighborhood_df['Postcode'].unique().shape[0]))\nprint('  {} Boroughs'.format(neighborhood_df['Borough'].unique().shape[0]))\nprint('  {} Neighborhoods'.format(neighborhood_df['Neighborhood'].unique().shape[0]))"
        }, 
        {
            "execution_count": 11, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 11, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge, Malvern</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Highland Creek, Rouge Hill, Port Union</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    <tr>\n      <th>5</th>\n      <td>M1J</td>\n      <td>Scarborough</td>\n      <td>Scarborough Village</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1K</td>\n      <td>Scarborough</td>\n      <td>East Birchmount Park, Ionview, Kennedy Park</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M1L</td>\n      <td>Scarborough</td>\n      <td>Clairlea, Golden Mile, Oakridge</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1M</td>\n      <td>Scarborough</td>\n      <td>Cliffcrest, Cliffside, Scarborough Village West</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    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postcode      Borough                                     Neighborhood\n0      M1B  Scarborough                                   Rouge, Malvern\n1      M1C  Scarborough           Highland Creek, Rouge Hill, Port Union\n2      M1E  Scarborough                Guildwood, Morningside, West Hill\n3      M1G  Scarborough                                           Woburn\n4      M1H  Scarborough                                        Cedarbrae\n5      M1J  Scarborough                              Scarborough Village\n6      M1K  Scarborough      East Birchmount Park, Ionview, Kennedy Park\n7      M1L  Scarborough                  Clairlea, Golden Mile, Oakridge\n8      M1M  Scarborough  Cliffcrest, Cliffside, Scarborough Village West\n9      M1N  Scarborough                      Birch Cliff, Cliffside West"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "group = neighborhood_df.groupby('Postcode')\ngrouped_neighborhoods = group['Neighborhood'].apply(lambda x: \"%s\" % ', '.join(x))\ngrouped_boroughs = group['Borough'].apply(lambda x: set(x).pop())\ngrouped_df = pd.DataFrame(list(zip(grouped_boroughs.index, grouped_boroughs, grouped_neighborhoods)))\ngrouped_df.columns = ['Postcode', 'Borough', 'Neighborhood']\n\ngrouped_df.head(10)"
        }, 
        {
            "execution_count": 21, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "The DataFrame shape is (103, 3)\n"
                }
            ], 
            "source": "print('The DataFrame shape is', grouped_df.shape)"
        }, 
        {
            "execution_count": 30, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 30, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postal Code</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <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\n0         M1B  43.806686 -79.194353\n1         M1C  43.784535 -79.160497\n2         M1E  43.763573 -79.188711\n3         M1G  43.770992 -79.216917\n4         M1H  43.773136 -79.239476"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "# The code was removed by Watson Studio for sharing."
        }, 
        {
            "execution_count": 31, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 31, 
                    "metadata": {}, 
                    "data": {
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                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "postcodes_with_coordinates_df = grouped_df.join(coordinates_df.set_index('Postal Code'), on='Postcode')\n\npostcodes_with_coordinates_df.head(16)"
        }, 
        {
            "execution_count": 32, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
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}
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                var html_a174640cbafa44728cae30e02de7b618 = $('<div id="html_a174640cbafa44728cae30e02de7b618" style="width: 100.0%; height: 100.0%;">Postal Code: M9R;  Borough: Etobicoke;  Neighborhoods: Kingsview Village, Martin Grove Gardens, Richview Gardens, St. Phillips</div>')[0];
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>", 
                        "text/plain": "<folium.folium.Map at 0x7f8798729400>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "map = folium.Map(location=[43.6532,-79.3832], zoom_start=11)\n\nfor location in postcodes_with_coordinates_df.itertuples(): #iterate each row of the dataframe\n    label = 'Postal Code: {};  Borough: {};  Neighborhoods: {}'.format(location[1], location[2], location[3])\n    label = folium.Popup(label, parse_html=True)    \n    folium.CircleMarker(\n        [location[-2], location[-1]],\n        radius=1,\n        color='blue',\n        fill=True,\n        fill_color='#3186cc',\n        fill_opacity=0.7,\n        parse_html=False).add_to(map) \n    folium.Circle(\n        radius=500,\n        popup=label,\n        location=[location[-2], location[-1]],\n        color='#3186cc',\n        fill=True,\n        fill_color='#3186cc'\n    ).add_to(map) \n    \nmap"
        }, 
        {
            "execution_count": 33, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "display_data", 
                    "data": {
                        "text/plain": "<Figure size 1500x1000 with 1 Axes>"
                    }, 
                    "metadata": {}
                }
            ], 
            "source": "import matplotlib.pyplot as plt\n\nX = postcodes_with_coordinates_df[['Longitude', 'Latitude']]\n\nscatter_plot = X.plot.scatter(x='Longitude', \n               y='Latitude',  \n               fontsize = 16,\n               figsize=(15, 10))\n\nscatter_plot.set_yticklabels([])\nscatter_plot.set_xticklabels([])\nscatter_plot.set_xticks([])\nscatter_plot.set_yticks([])\nscatter_plot.spines['top'].set_color(None)\nscatter_plot.spines['right'].set_color(None)\nplt.xlabel('Longitude', fontsize=16)\nplt.ylabel('Latitude', fontsize=16)\nscatter_plot.set_title('Toronto Postal Codes Position', fontsize=16)\n\nscatter_plot.set_yticklabels(labels = 'Latitude', fontdict={'fontsize': 20})\nplt.show()"
        }, 
        {
            "execution_count": 34, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "from geopy.distance import great_circle\n\n#function to get the closest postcode pair and the distance using latitude and longitude\ndef closest_postcode(postcode, postcodes):\n    postcode = np.asarray(postcode).reshape(1,-1)\n    postcodes = np.asarray(postcodes)\n    distances = [great_circle(postcode, point).meters for point in postcodes]\n    closest_postcode_index = np.argmin(distances)\n    return [round(distances[closest_postcode_index]), closest_postcode_index]"
        }, 
        {
            "execution_count": 35, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 35, 
                    "metadata": {}, 
                    "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>Longitude</th>\n      <th>Latitude</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>-79.194353</td>\n      <td>43.806686</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>-79.205636</td>\n      <td>43.836125</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "    Longitude   Latitude\n0  -79.194353  43.806686\n16 -79.205636  43.836125"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "coordinates = postcodes_with_coordinates_df[['Latitude', 'Longitude']]\n\ndistance, closest_point_index = closest_postcode(coordinates[:1], coordinates[~coordinates.index.isin([0])])\nclose_points = X[:1].append(X[closest_point_index+1:closest_point_index+2])\nclose_points"
        }, 
        {
            "execution_count": 36, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "display_data", 
                    "data": {
                        "image/png": 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
                        "text/plain": "<Figure size 1080x720 with 1 Axes>"
                    }, 
                    "metadata": {}
                }
            ], 
            "source": "fig = plt.figure(figsize=(15,10))\nscatter_plot = fig.add_subplot(111)\nscatter_plot.scatter(X['Longitude'],X['Latitude'], s=10, c='r', marker=\"o\")\nscatter_plot.plot(close_points['Longitude'], close_points['Latitude'], c='b', marker=\"o\")\n\n# plt.legend(loc='upper left');\nscatter_plot.annotate('{} Meters'.format(distance),\n            xy=(.859, .912), xycoords='figure fraction',\n            ha='left', va='top', rotation=-73,\n            fontsize=12)\n\nscatter_plot.set_yticklabels([])\nscatter_plot.set_xticklabels([])\nscatter_plot.set_xticks([])\nscatter_plot.set_yticks([])\nscatter_plot.spines['top'].set_color(None)\nscatter_plot.spines['right'].set_color(None)\n\nplt.xlabel('Longitude', fontsize=16)\nplt.ylabel('Latitude', fontsize=16)\nplt.title('Toronto Postal Codes Position', fontsize=16)\n\nscatter_plot.set_yticklabels(labels = 'Latitude', fontdict={'fontsize': 20})\nplt.show()"
        }, 
        {
            "execution_count": 37, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 37, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n      <th>Distance</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>Scarborough</td>\n      <td>Rouge, Malvern</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>1698.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>Scarborough</td>\n      <td>Highland Creek, Rouge Hill, Port Union</td>\n      <td>43.784535</td>\n      <td>-79.160497</td>\n      <td>1625.0</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>1205.0</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>913.0</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>913.0</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>1301.0</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1K</td>\n      <td>Scarborough</td>\n      <td>East Birchmount Park, Ionview, Kennedy Park</td>\n      <td>43.727929</td>\n      <td>-79.262029</td>\n      <td>1112.0</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M1L</td>\n      <td>Scarborough</td>\n      <td>Clairlea, Golden Mile, Oakridge</td>\n      <td>43.711112</td>\n      <td>-79.284577</td>\n      <td>1052.0</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1M</td>\n      <td>Scarborough</td>\n      <td>Cliffcrest, Cliffside, Scarborough Village West</td>\n      <td>43.716316</td>\n      <td>-79.239476</td>\n      <td>1112.0</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>1297.0</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>M1P</td>\n      <td>Scarborough</td>\n      <td>Dorset Park, Scarborough Town Centre, Wexford ...</td>\n      <td>43.757410</td>\n      <td>-79.273304</td>\n      <td>993.0</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>M1R</td>\n      <td>Scarborough</td>\n      <td>Maryvale, Wexford</td>\n      <td>43.750072</td>\n      <td>-79.295849</td>\n      <td>993.0</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>M1S</td>\n      <td>Scarborough</td>\n      <td>Agincourt</td>\n      <td>43.794200</td>\n      <td>-79.262029</td>\n      <td>1479.0</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>M1T</td>\n      <td>Scarborough</td>\n      <td>Clarks Corners, Sullivan, Tam O'Shanter</td>\n      <td>43.781638</td>\n      <td>-79.304302</td>\n      <td>1144.0</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>M1V</td>\n      <td>Scarborough</td>\n      <td>Agincourt North, L'Amoreaux East, Milliken, St...</td>\n      <td>43.815252</td>\n      <td>-79.284577</td>\n      <td>1479.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "   Postcode      Borough                                       Neighborhood  \\\n0       M1B  Scarborough                                     Rouge, Malvern   \n1       M1C  Scarborough             Highland Creek, Rouge Hill, Port Union   \n2       M1E  Scarborough                  Guildwood, Morningside, West Hill   \n3       M1G  Scarborough                                             Woburn   \n4       M1H  Scarborough                                          Cedarbrae   \n5       M1J  Scarborough                                Scarborough Village   \n6       M1K  Scarborough        East Birchmount Park, Ionview, Kennedy Park   \n7       M1L  Scarborough                    Clairlea, Golden Mile, Oakridge   \n8       M1M  Scarborough    Cliffcrest, Cliffside, Scarborough Village West   \n9       M1N  Scarborough                        Birch Cliff, Cliffside West   \n10      M1P  Scarborough  Dorset Park, Scarborough Town Centre, Wexford ...   \n11      M1R  Scarborough                                  Maryvale, Wexford   \n12      M1S  Scarborough                                          Agincourt   \n13      M1T  Scarborough            Clarks Corners, Sullivan, Tam O'Shanter   \n14      M1V  Scarborough  Agincourt North, L'Amoreaux East, Milliken, St...   \n\n     Latitude  Longitude  Distance  \n0   43.806686 -79.194353    1698.0  \n1   43.784535 -79.160497    1625.0  \n2   43.763573 -79.188711    1205.0  \n3   43.770992 -79.216917     913.0  \n4   43.773136 -79.239476     913.0  \n5   43.744734 -79.239476    1301.0  \n6   43.727929 -79.262029    1112.0  \n7   43.711112 -79.284577    1052.0  \n8   43.716316 -79.239476    1112.0  \n9   43.692657 -79.264848    1297.0  \n10  43.757410 -79.273304     993.0  \n11  43.750072 -79.295849     993.0  \n12  43.794200 -79.262029    1479.0  \n13  43.781638 -79.304302    1144.0  \n14  43.815252 -79.284577    1479.0  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "from math import isnan\n\nfor lat, lng, idx in zip(postcodes_with_coordinates_df['Latitude'], postcodes_with_coordinates_df['Longitude'], postcodes_with_coordinates_df.index):\n    distance, closest_point_index = closest_postcode([lat,lng], coordinates[~coordinates.index.isin([idx])])\n    postcodes_with_coordinates_df.at[idx,'Distance'] = np.int64(distance//2) #use the half of the disstance to avoid overlapping\n    \npostcodes_with_coordinates_df.head(15)"
        }, 
        {
            "execution_count": 38, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 38, 
                    "metadata": {}, 
                    "data": {
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                ).addTo(map_75c9f85efd994326b6323efacf4aed94);
            
    
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                var html_9083c22375334329ba769ae87b9783ec = $('<div id="html_9083c22375334329ba769ae87b9783ec" style="width: 100.0%; height: 100.0%;">Postal Code: M9W;  Borough: Etobicoke;  Neighborhoods: Northwest</div>')[0];
                popup_f6bb1f62ce7649b990709d368905a85f.setContent(html_9083c22375334329ba769ae87b9783ec);
            

            circle_b662737d70cb445794b44056ea4a611f.bindPopup(popup_f6bb1f62ce7649b990709d368905a85f);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>", 
                        "text/plain": "<folium.folium.Map at 0x7f87906a7780>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "map = folium.Map(location=[43.6532,-79.3832], zoom_start=11)\n\nfor location in postcodes_with_coordinates_df.itertuples(): #iterate each row of the dataframe\n    label = 'Postal Code: {};  Borough: {};  Neighborhoods: {}'.format(location[1], location[2], location[3])\n    label = folium.Popup(label, parse_html=True)    \n    folium.CircleMarker(\n        [location[-3], location[-2]],\n        radius=1,\n        color='blue',\n        fill=True,\n        fill_color='#3186cc',\n        fill_opacity=0.7,\n        parse_html=False).add_to(map) \n    folium.Circle(\n        radius=location[-1],\n        popup=label,\n        location=[location[-3], location[-2]],\n        color='#3186cc',\n        fill=True,\n        fill_color='#3186cc'\n    ).add_to(map) \n    \nmap"
        }, 
        {
            "source": "## 3. Get Venues\n\nIn order to get the venues in the perimeter of each Postal code, it is necessary to get the geographical coordinates (lat and lng) of each one of those and add them to the dataframe. The geopy library is not compatible with Canada's postcode and geocoder is an unreliable library. For that reason the coordinates are in the csv file 'Geospatial_Coordinates.csv\".", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 39, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "CLIENT_ID = 'JVPT3WTUEQVMETE1XPLBXLNNN1RTMMVNILG5GGIVMQAB0I04' # your Foursquare ID\nCLIENT_SECRET = 'JTR3F0S2GQYM3QW1YOKWH3K2U1145OITNGSVMULJZDP5FYMY' # your Foursquare Secret\nVERSION = '20190922'"
        }, 
        {
            "execution_count": 40, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "#function to format url\ndef format_url(lat, lng, radius=500, limit=100):\n    return 'https://api.foursquare.com/v2/venues/explore?client_id={}&client_secret={}&ll={},{}&v={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, \n        lat, lng, VERSION, radius, limit)"
        }, 
        {
            "execution_count": 41, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 41, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "'https://api.foursquare.com/v2/venues/explore?client_id=JVPT3WTUEQVMETE1XPLBXLNNN1RTMMVNILG5GGIVMQAB0I04&client_secret=JTR3F0S2GQYM3QW1YOKWH3K2U1145OITNGSVMULJZDP5FYMY&ll=43.7635726,-79.1887115&v=20190922&radius=1205.0&limit=100'"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "first_postcode = postcodes_with_coordinates_df.iloc[2, :]\nurl = format_url(first_postcode['Latitude'], first_postcode['Longitude'], first_postcode['Distance'])\n\nurl"
        }, 
        {
            "execution_count": 42, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "#function to get batch of venues as a dataframe\ndef get_venues(url):\n    results = requests.get(url).json()\n    venues = results['response']['groups'][0]['items']\n    return json_normalize(venues)"
        }, 
        {
            "execution_count": 43, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 43, 
                    "metadata": {}, 
                    "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>reasons.count</th>\n      <th>reasons.items</th>\n      <th>referralId</th>\n      <th>venue.categories</th>\n      <th>venue.id</th>\n      <th>venue.location.address</th>\n      <th>venue.location.cc</th>\n      <th>venue.location.city</th>\n      <th>venue.location.country</th>\n      <th>venue.location.crossStreet</th>\n      <th>venue.location.distance</th>\n      <th>venue.location.formattedAddress</th>\n      <th>venue.location.labeledLatLngs</th>\n      <th>venue.location.lat</th>\n      <th>venue.location.lng</th>\n      <th>venue.location.postalCode</th>\n      <th>venue.location.state</th>\n      <th>venue.name</th>\n      <th>venue.photos.count</th>\n      <th>venue.photos.groups</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>[{'summary': 'This spot is popular', 'type': '...</td>\n      <td>e-0-4bc366dab492d13a51b2a860-0</td>\n      <td>[{'id': '4d4ae6fc7a7b7dea34424761', 'name': 'F...</td>\n      <td>4bc366dab492d13a51b2a860</td>\n      <td>4449 Kingston Road</td>\n      <td>CA</td>\n      <td>Scarborough</td>\n      <td>Canada</td>\n      <td>at Lawrence and Morningside</td>\n      <td>579</td>\n      <td>[4449 Kingston Road (at Lawrence and Morningsi...</td>\n      <td>[{'label': 'display', 'lat': 43.76875171771289...</td>\n      <td>43.768752</td>\n      <td>-79.187982</td>\n      <td>M1E 2N7</td>\n      <td>ON</td>\n      <td>Chick-N-Joy</td>\n      <td>0</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>0</td>\n      <td>[{'summary': 'This spot is popular', 'type': '...</td>\n      <td>e-0-4b3a9504f964a520646a25e3-1</td>\n      <td>[{'id': '4bf58dd8d48988d186941735', 'name': 'L...</td>\n      <td>4b3a9504f964a520646a25e3</td>\n      <td>4525 Kingston Rd.</td>\n      <td>CA</td>\n      <td>Toronto</td>\n      <td>Canada</td>\n      <td>at Lawrence Ave. E</td>\n      <td>944</td>\n      <td>[4525 Kingston Rd. (at Lawrence Ave. E), Toron...</td>\n      <td>[{'label': 'display', 'lat': 43.77146181777272...</td>\n      <td>43.771462</td>\n      <td>-79.184384</td>\n      <td>M1E 2P1</td>\n      <td>ON</td>\n      <td>LCBO</td>\n      <td>0</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>0</td>\n      <td>[{'summary': 'This spot is popular', 'type': '...</td>\n      <td>e-0-4ba164fdf964a52039b337e3-2</td>\n      <td>[{'id': '4bf58dd8d48988d1f9941735', 'name': 'F...</td>\n      <td>4ba164fdf964a52039b337e3</td>\n      <td>4525 Kingston Rd</td>\n      <td>CA</td>\n      <td>West Hill</td>\n      <td>Canada</td>\n      <td>Morningside Crossing</td>\n      <td>933</td>\n      <td>[4525 Kingston Rd (Morningside Crossing), West...</td>\n      <td>[{'label': 'display', 'lat': 43.77134173380578...</td>\n      <td>43.771342</td>\n      <td>-79.184341</td>\n      <td>NaN</td>\n      <td>ON</td>\n      <td>Bulk Barn</td>\n      <td>0</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>0</td>\n      <td>[{'summary': 'This spot is popular', 'type': '...</td>\n      <td>e-0-4c9fdb04542b224bca4201a0-3</td>\n      <td>[{'id': '4bf58dd8d48988d1ca941735', 'name': 'P...</td>\n      <td>4c9fdb04542b224bca4201a0</td>\n      <td>4218 Lawrence Avenue East</td>\n      <td>CA</td>\n      <td>Scarborough</td>\n      <td>Canada</td>\n      <td>NaN</td>\n      <td>701</td>\n      <td>[4218 Lawrence Avenue East, Scarborough ON M1E...</td>\n      <td>[{'label': 'display', 'lat': 43.76904597684398...</td>\n      <td>43.769046</td>\n      <td>-79.184386</td>\n      <td>M1E 4X9</td>\n      <td>ON</td>\n      <td>Little Caesars Pizza</td>\n      <td>0</td>\n      <td>[]</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>0</td>\n      <td>[{'summary': 'This spot is popular', 'type': '...</td>\n      <td>e-0-4beca2f9d6e676b0538764d4-4</td>\n      <td>[{'id': '52f2ab2ebcbc57f1066b8b41', 'name': 'S...</td>\n      <td>4beca2f9d6e676b0538764d4</td>\n      <td>4525 Kingston Road, Unit #H8</td>\n      <td>CA</td>\n      <td>Scarborough</td>\n      <td>Canada</td>\n      <td>at Collinsgrove Rd.</td>\n      <td>870</td>\n      <td>[4525 Kingston Road, Unit #H8 (at Collinsgrove...</td>\n      <td>[{'label': 'display', 'lat': 43.77066813, 'lng...</td>\n      <td>43.770668</td>\n      <td>-79.184150</td>\n      <td>M1E 2P1</td>\n      <td>ON</td>\n      <td>Booster Juice</td>\n      <td>0</td>\n      <td>[]</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "   reasons.count                                      reasons.items  \\\n0              0  [{'summary': 'This spot is popular', 'type': '...   \n1              0  [{'summary': 'This spot is popular', 'type': '...   \n2              0  [{'summary': 'This spot is popular', 'type': '...   \n3              0  [{'summary': 'This spot is popular', 'type': '...   \n4              0  [{'summary': 'This spot is popular', 'type': '...   \n\n                       referralId  \\\n0  e-0-4bc366dab492d13a51b2a860-0   \n1  e-0-4b3a9504f964a520646a25e3-1   \n2  e-0-4ba164fdf964a52039b337e3-2   \n3  e-0-4c9fdb04542b224bca4201a0-3   \n4  e-0-4beca2f9d6e676b0538764d4-4   \n\n                                    venue.categories  \\\n0  [{'id': '4d4ae6fc7a7b7dea34424761', 'name': 'F...   \n1  [{'id': '4bf58dd8d48988d186941735', 'name': 'L...   \n2  [{'id': '4bf58dd8d48988d1f9941735', 'name': 'F...   \n3  [{'id': '4bf58dd8d48988d1ca941735', 'name': 'P...   \n4  [{'id': '52f2ab2ebcbc57f1066b8b41', 'name': 'S...   \n\n                   venue.id        venue.location.address venue.location.cc  \\\n0  4bc366dab492d13a51b2a860            4449 Kingston Road                CA   \n1  4b3a9504f964a520646a25e3             4525 Kingston Rd.                CA   \n2  4ba164fdf964a52039b337e3              4525 Kingston Rd                CA   \n3  4c9fdb04542b224bca4201a0     4218 Lawrence Avenue East                CA   \n4  4beca2f9d6e676b0538764d4  4525 Kingston Road, Unit #H8                CA   \n\n  venue.location.city venue.location.country   venue.location.crossStreet  \\\n0         Scarborough                 Canada  at Lawrence and Morningside   \n1             Toronto                 Canada           at Lawrence Ave. E   \n2           West Hill                 Canada         Morningside Crossing   \n3         Scarborough                 Canada                          NaN   \n4         Scarborough                 Canada          at Collinsgrove Rd.   \n\n   venue.location.distance                    venue.location.formattedAddress  \\\n0                      579  [4449 Kingston Road (at Lawrence and Morningsi...   \n1                      944  [4525 Kingston Rd. (at Lawrence Ave. E), Toron...   \n2                      933  [4525 Kingston Rd (Morningside Crossing), West...   \n3                      701  [4218 Lawrence Avenue East, Scarborough ON M1E...   \n4                      870  [4525 Kingston Road, Unit #H8 (at Collinsgrove...   \n\n                       venue.location.labeledLatLngs  venue.location.lat  \\\n0  [{'label': 'display', 'lat': 43.76875171771289...           43.768752   \n1  [{'label': 'display', 'lat': 43.77146181777272...           43.771462   \n2  [{'label': 'display', 'lat': 43.77134173380578...           43.771342   \n3  [{'label': 'display', 'lat': 43.76904597684398...           43.769046   \n4  [{'label': 'display', 'lat': 43.77066813, 'lng...           43.770668   \n\n   venue.location.lng venue.location.postalCode venue.location.state  \\\n0          -79.187982                   M1E 2N7                   ON   \n1          -79.184384                   M1E 2P1                   ON   \n2          -79.184341                       NaN                   ON   \n3          -79.184386                   M1E 4X9                   ON   \n4          -79.184150                   M1E 2P1                   ON   \n\n             venue.name  venue.photos.count venue.photos.groups  \n0           Chick-N-Joy                   0                  []  \n1                  LCBO                   0                  []  \n2             Bulk Barn                   0                  []  \n3  Little Caesars Pizza                   0                  []  \n4         Booster Juice                   0                  []  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "venues_df = get_venues(url)\n\nvenues_df.head()"
        }, 
        {
            "execution_count": 44, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 44, 
                    "metadata": {}, 
                    "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>Category</th>\n      <th>Lat</th>\n      <th>Lng</th>\n      <th>Name</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>[{'id': '4d4ae6fc7a7b7dea34424761', 'name': 'F...</td>\n      <td>43.768752</td>\n      <td>-79.187982</td>\n      <td>Chick-N-Joy</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>[{'id': '4bf58dd8d48988d186941735', 'name': 'L...</td>\n      <td>43.771462</td>\n      <td>-79.184384</td>\n      <td>LCBO</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>[{'id': '4bf58dd8d48988d1f9941735', 'name': 'F...</td>\n      <td>43.771342</td>\n      <td>-79.184341</td>\n      <td>Bulk Barn</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>[{'id': '4bf58dd8d48988d1ca941735', 'name': 'P...</td>\n      <td>43.769046</td>\n      <td>-79.184386</td>\n      <td>Little Caesars Pizza</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>[{'id': '52f2ab2ebcbc57f1066b8b41', 'name': 'S...</td>\n      <td>43.770668</td>\n      <td>-79.184150</td>\n      <td>Booster Juice</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                                            Category        Lat        Lng  \\\n0  [{'id': '4d4ae6fc7a7b7dea34424761', 'name': 'F...  43.768752 -79.187982   \n1  [{'id': '4bf58dd8d48988d186941735', 'name': 'L...  43.771462 -79.184384   \n2  [{'id': '4bf58dd8d48988d1f9941735', 'name': 'F...  43.771342 -79.184341   \n3  [{'id': '4bf58dd8d48988d1ca941735', 'name': 'P...  43.769046 -79.184386   \n4  [{'id': '52f2ab2ebcbc57f1066b8b41', 'name': 'S...  43.770668 -79.184150   \n\n                   Name  \n0           Chick-N-Joy  \n1                  LCBO  \n2             Bulk Barn  \n3  Little Caesars Pizza  \n4         Booster Juice  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "#function to clean the venues dataframe\ndef clean_df(df):\n    relevant_columns = ['venue.categories', 'venue.location.lat', 'venue.location.lng', 'venue.name']\n    clean_df = df.loc[:,relevant_columns]\n\n    #rename columns\n    clean_df.columns = ['Category', 'Lat', 'Lng', 'Name']\n    return clean_df \n\nvenues_df = clean_df(venues_df)\nvenues_df.head()"
        }, 
        {
            "execution_count": 45, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 45, 
                    "metadata": {}, 
                    "data": {
                        "text/plain": "[{'id': '4d4ae6fc7a7b7dea34424761',\n  'name': 'Fried Chicken Joint',\n  'pluralName': 'Fried Chicken Joints',\n  'shortName': 'Fried Chicken',\n  'icon': {'prefix': 'https://ss3.4sqi.net/img/categories_v2/food/friedchicken_',\n   'suffix': '.png'},\n  'primary': True}]"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "venues_df.loc[0, 'Category']"
        }, 
        {
            "execution_count": 46, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 46, 
                    "metadata": {}, 
                    "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>Category</th>\n      <th>Lat</th>\n      <th>Lng</th>\n      <th>Name</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>Fried Chicken Joint</td>\n      <td>43.768752</td>\n      <td>-79.187982</td>\n      <td>Chick-N-Joy</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>Liquor Store</td>\n      <td>43.771462</td>\n      <td>-79.184384</td>\n      <td>LCBO</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>Food &amp; Drink Shop</td>\n      <td>43.771342</td>\n      <td>-79.184341</td>\n      <td>Bulk Barn</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>Pizza Place</td>\n      <td>43.769046</td>\n      <td>-79.184386</td>\n      <td>Little Caesars Pizza</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>Smoothie Shop</td>\n      <td>43.770668</td>\n      <td>-79.184150</td>\n      <td>Booster Juice</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>Pizza Place</td>\n      <td>43.767697</td>\n      <td>-79.189914</td>\n      <td>Swiss Chalet Rotisserie &amp; Grill</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>Coffee Shop</td>\n      <td>43.770370</td>\n      <td>-79.186490</td>\n      <td>Starbucks</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>Breakfast Spot</td>\n      <td>43.772319</td>\n      <td>-79.184900</td>\n      <td>Sunset Grill</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>Beer Store</td>\n      <td>43.769793</td>\n      <td>-79.187505</td>\n      <td>The Beer Store</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>Sports Bar</td>\n      <td>43.768892</td>\n      <td>-79.185851</td>\n      <td>Shoeless Joe's</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td>Pharmacy</td>\n      <td>43.770282</td>\n      <td>-79.185012</td>\n      <td>Shoppers Drug Mart</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td>Bank</td>\n      <td>43.770997</td>\n      <td>-79.185998</td>\n      <td>TD Canada Trust</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td>Discount Store</td>\n      <td>43.771085</td>\n      <td>-79.184288</td>\n      <td>Dollarama</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td>Fast Food Restaurant</td>\n      <td>43.768984</td>\n      <td>-79.185629</td>\n      <td>KFC</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>Sandwich Place</td>\n      <td>43.771913</td>\n      <td>-79.185475</td>\n      <td>Subway</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td>Fast Food Restaurant</td>\n      <td>43.768347</td>\n      <td>-79.188368</td>\n      <td>McDonald's</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td>Pizza Place</td>\n      <td>43.770455</td>\n      <td>-79.186157</td>\n      <td>Pizza Hut</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td>Greek Restaurant</td>\n      <td>43.768259</td>\n      <td>-79.189608</td>\n      <td>Taste Of Greek Cuisine</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td>Supermarket</td>\n      <td>43.770013</td>\n      <td>-79.185540</td>\n      <td>Food Basics</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td>Coffee Shop</td>\n      <td>43.769883</td>\n      <td>-79.186988</td>\n      <td>Tim Hortons</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td>Burger Joint</td>\n      <td>43.771677</td>\n      <td>-79.185380</td>\n      <td>Lick's Homeburgers</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td>Grocery Store</td>\n      <td>43.769591</td>\n      <td>-79.187669</td>\n      <td>Joseph's No Frills</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>Convenience Store</td>\n      <td>43.759302</td>\n      <td>-79.180551</td>\n      <td>Sunny Variety</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>Grocery Store</td>\n      <td>43.770477</td>\n      <td>-79.184065</td>\n      <td>M&amp;M Food Market</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td>Video Game Store</td>\n      <td>43.770552</td>\n      <td>-79.184102</td>\n      <td>EB Games</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td>Automotive Shop</td>\n      <td>43.772666</td>\n      <td>-79.184443</td>\n      <td>Kal Tire</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td>Gym / Fitness Center</td>\n      <td>43.768867</td>\n      <td>-79.176958</td>\n      <td>Heron Park Community Centre</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td>Park</td>\n      <td>43.769327</td>\n      <td>-79.177201</td>\n      <td>Heron Park</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "                Category        Lat        Lng  \\\n0    Fried Chicken Joint  43.768752 -79.187982   \n1           Liquor Store  43.771462 -79.184384   \n2      Food & Drink Shop  43.771342 -79.184341   \n3            Pizza Place  43.769046 -79.184386   \n4          Smoothie Shop  43.770668 -79.184150   \n5            Pizza Place  43.767697 -79.189914   \n6            Coffee Shop  43.770370 -79.186490   \n7         Breakfast Spot  43.772319 -79.184900   \n8             Beer Store  43.769793 -79.187505   \n9             Sports Bar  43.768892 -79.185851   \n10              Pharmacy  43.770282 -79.185012   \n11                  Bank  43.770997 -79.185998   \n12        Discount Store  43.771085 -79.184288   \n13  Fast Food Restaurant  43.768984 -79.185629   \n14        Sandwich Place  43.771913 -79.185475   \n15  Fast Food Restaurant  43.768347 -79.188368   \n16           Pizza Place  43.770455 -79.186157   \n17      Greek Restaurant  43.768259 -79.189608   \n18           Supermarket  43.770013 -79.185540   \n19           Coffee Shop  43.769883 -79.186988   \n20          Burger Joint  43.771677 -79.185380   \n21         Grocery Store  43.769591 -79.187669   \n22     Convenience Store  43.759302 -79.180551   \n23         Grocery Store  43.770477 -79.184065   \n24      Video Game Store  43.770552 -79.184102   \n25       Automotive Shop  43.772666 -79.184443   \n26  Gym / Fitness Center  43.768867 -79.176958   \n27                  Park  43.769327 -79.177201   \n\n                               Name  \n0                       Chick-N-Joy  \n1                              LCBO  \n2                         Bulk Barn  \n3              Little Caesars Pizza  \n4                     Booster Juice  \n5   Swiss Chalet Rotisserie & Grill  \n6                         Starbucks  \n7                      Sunset Grill  \n8                    The Beer Store  \n9                    Shoeless Joe's  \n10               Shoppers Drug Mart  \n11                  TD Canada Trust  \n12                        Dollarama  \n13                              KFC  \n14                           Subway  \n15                       McDonald's  \n16                        Pizza Hut  \n17           Taste Of Greek Cuisine  \n18                      Food Basics  \n19                      Tim Hortons  \n20               Lick's Homeburgers  \n21               Joseph's No Frills  \n22                    Sunny Variety  \n23                  M&M Food Market  \n24                         EB Games  \n25                         Kal Tire  \n26      Heron Park Community Centre  \n27                       Heron Park  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "#function that extract the category name\ndef get_category_name(row):\n    category_json = row['Category']\n    try:\n        return category_json[0]['name']\n    except:        \n        return None\n\nvenues_df['Category'] = venues_df.apply(get_category_name, axis=1)\n\nvenues_df"
        }, 
        {
            "execution_count": 50, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [], 
            "source": "#function to construct the dataframe with all the venues (max 100 venues per postal code)\ndef get_all_venues(postcodes, lat, lng, radius):\n    venues_list=[]\n    for postcode, lat, lng, radius in zip(postcodes, lat, lng, radius):\n        url= format_url(lat, lng, radius)\n        results = requests.get(url).json()['response']['groups'][0]['items']\n        \n        venues_list.append([(\n            postcode, \n            lat, \n            lng, \n            v['venue']['name'], \n            v['venue']['location']['lat'], \n            v['venue']['location']['lng'], \n            v['venue']['categories'][0]['name'])\n            for v in results])\n    all_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n    all_venues.columns = ['Postcode', \n                  'Postcode Latitude', \n                  'Postcode Longitude', \n                  'Venue', \n                  'Venue Latitude', \n                  'Venue Longitude',\n                  'Venue Category'\n                  ]\n    \n    return all_venues"
        }, 
        {
            "execution_count": 51, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "The total number of venues returned is  3332\n"
                }, 
                {
                    "execution_count": 51, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Postcode Latitude</th>\n      <th>Postcode 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>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>African Rainforest Pavilion</td>\n      <td>43.817725</td>\n      <td>-79.183433</td>\n      <td>Zoo Exhibit</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>Images Salon &amp; Spa</td>\n      <td>43.802283</td>\n      <td>-79.198565</td>\n      <td>Spa</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>Canadiana exhibit</td>\n      <td>43.817962</td>\n      <td>-79.193374</td>\n      <td>Zoo Exhibit</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>penguin exhibit</td>\n      <td>43.819435</td>\n      <td>-79.185959</td>\n      <td>Zoo Exhibit</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>Orangutan Exhibit</td>\n      <td>43.818413</td>\n      <td>-79.182548</td>\n      <td>Zoo Exhibit</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>Lion Exhibit</td>\n      <td>43.819228</td>\n      <td>-79.186977</td>\n      <td>Zoo Exhibit</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>Gorilla Exhibit</td>\n      <td>43.819080</td>\n      <td>-79.184235</td>\n      <td>Zoo Exhibit</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>LCBO</td>\n      <td>43.796671</td>\n      <td>-79.204586</td>\n      <td>Liquor Store</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>Staples Morningside</td>\n      <td>43.800285</td>\n      <td>-79.196607</td>\n      <td>Paper / Office Supplies Store</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M1B</td>\n      <td>43.806686</td>\n      <td>-79.194353</td>\n      <td>Wendy's</td>\n      <td>43.802008</td>\n      <td>-79.198080</td>\n      <td>Fast Food Restaurant</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postcode  Postcode Latitude  Postcode Longitude  \\\n0      M1B          43.806686          -79.194353   \n1      M1B          43.806686          -79.194353   \n2      M1B          43.806686          -79.194353   \n3      M1B          43.806686          -79.194353   \n4      M1B          43.806686          -79.194353   \n5      M1B          43.806686          -79.194353   \n6      M1B          43.806686          -79.194353   \n7      M1B          43.806686          -79.194353   \n8      M1B          43.806686          -79.194353   \n9      M1B          43.806686          -79.194353   \n\n                         Venue  Venue Latitude  Venue Longitude  \\\n0  African Rainforest Pavilion       43.817725       -79.183433   \n1           Images Salon & Spa       43.802283       -79.198565   \n2            Canadiana exhibit       43.817962       -79.193374   \n3              penguin exhibit       43.819435       -79.185959   \n4            Orangutan Exhibit       43.818413       -79.182548   \n5                 Lion Exhibit       43.819228       -79.186977   \n6              Gorilla Exhibit       43.819080       -79.184235   \n7                         LCBO       43.796671       -79.204586   \n8          Staples Morningside       43.800285       -79.196607   \n9                      Wendy's       43.802008       -79.198080   \n\n                  Venue Category  \n0                    Zoo Exhibit  \n1                            Spa  \n2                    Zoo Exhibit  \n3                    Zoo Exhibit  \n4                    Zoo Exhibit  \n5                    Zoo Exhibit  \n6                    Zoo Exhibit  \n7                   Liquor Store  \n8  Paper / Office Supplies Store  \n9           Fast Food Restaurant  "
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "all_venues = get_all_venues(postcodes_with_coordinates_df['Postcode'], postcodes_with_coordinates_df['Latitude'], postcodes_with_coordinates_df['Longitude'], postcodes_with_coordinates_df['Distance'])\n\nprint('The total number of venues returned is ', all_venues.shape[0])\n\nall_venues.head(10)"
        }, 
        {
            "execution_count": 52, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "Total Toronto postcodes: 103\nTotal Toronto postcodes with venues: 102\n"
                }
            ], 
            "source": "print('Total Toronto postcodes:', postcodes_with_coordinates_df['Postcode'].shape[0])\nprint('Total Toronto postcodes with venues:', all_venues['Postcode'].unique().shape[0])"
        }, 
        {
            "execution_count": 53, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 53, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Borough</th>\n      <th>Neighborhood</th>\n      <th>Latitude</th>\n      <th>Longitude</th>\n      <th>Distance</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>56</th>\n      <td>M5E</td>\n      <td>Downtown Toronto</td>\n      <td>Berczy Park</td>\n      <td>43.644771</td>\n      <td>-79.373306</td>\n      <td>111.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "   Postcode           Borough Neighborhood   Latitude  Longitude  Distance\n56      M5E  Downtown Toronto  Berczy Park  43.644771 -79.373306     111.0"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "postcodes_diff = np.setdiff1d(postcodes_with_coordinates_df['Postcode'].values,all_venues['Postcode'].unique())\npostcodes_with_coordinates_df[postcodes_with_coordinates_df['Postcode']==postcodes_diff[0]]"
        }, 
        {
            "source": "## 4. Analyze venues data\n\nIn order to get a better sense of the best way of clustering the postalcodes, it's necessary to analyze the venues data returned by Foursquare.", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 54, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 54, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th># of Venues</th>\n      <th>Distance</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>33</td>\n      <td>1698</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>7</td>\n      <td>1625</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1E</td>\n      <td>28</td>\n      <td>1205</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1G</td>\n      <td>4</td>\n      <td>913</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1H</td>\n      <td>20</td>\n      <td>913</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M1J</td>\n      <td>23</td>\n      <td>1301</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1K</td>\n      <td>25</td>\n      <td>1112</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M1L</td>\n      <td>34</td>\n      <td>1052</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1M</td>\n      <td>17</td>\n      <td>1112</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M1N</td>\n      <td>13</td>\n      <td>1297</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postcode  # of Venues  Distance\n0      M1B           33      1698\n1      M1C            7      1625\n2      M1E           28      1205\n3      M1G            4       913\n4      M1H           20       913\n5      M1J           23      1301\n6      M1K           25      1112\n7      M1L           34      1052\n8      M1M           17      1112\n9      M1N           13      1297"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "venues_in_postcode = all_venues.groupby('Postcode').count()\nvenues_in_postcode = pd.DataFrame(list(zip(venues_in_postcode.index, venues_in_postcode['Venue'])), \n                                  columns=['Postcode', '# of Venues']).set_index('Postcode').join(postcodes_with_coordinates_df[['Postcode','Distance']].set_index('Postcode'), on='Postcode').reset_index()\nvenues_in_postcode['Distance'] = np.int64(venues_in_postcode['Distance'])\nvenues_in_postcode.loc[len(venues_in_postcode.index)] = ['M5E', 0, 111] #add M5E (postcode without venues) with zero as # of venues\n\nvenues_in_postcode.head(10)"
        }, 
        {
            "execution_count": 55, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 55, 
                    "metadata": {}, 
                    "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># of Venues</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>103.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>32.349515</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>25.652928</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>13.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>26.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>44.500000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>100.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "       # of Venues\ncount   103.000000\nmean     32.349515\nstd      25.652928\nmin       0.000000\n25%      13.000000\n50%      26.000000\n75%      44.500000\nmax     100.000000"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "venues_in_postcode[['# of Venues']].describe()"
        }, 
        {
            "execution_count": 56, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "display_data", 
                    "data": {
                        "image/png": 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\n", 
                        "text/plain": "<Figure size 1080x576 with 1 Axes>"
                    }, 
                    "metadata": {
                        "needs_background": "light"
                    }
                }
            ], 
            "source": "venues_in_postcode['# of Venues'].hist(bins=8, figsize=(15,8),zorder=2, rwidth=0.9)\n\nplt.xlabel('Number of Venues')\nplt.ylabel('Postcodes')\nplt.title('Number of venues per Postcode')\nplt.show()"
        }, 
        {
            "execution_count": 57, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 57, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Density</th>\n      <th>Distance</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>19</td>\n      <td>1698.0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>4</td>\n      <td>1625.0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1E</td>\n      <td>23</td>\n      <td>1205.0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1G</td>\n      <td>4</td>\n      <td>913.0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1H</td>\n      <td>21</td>\n      <td>913.0</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M1J</td>\n      <td>17</td>\n      <td>1301.0</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1K</td>\n      <td>22</td>\n      <td>1112.0</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M1L</td>\n      <td>32</td>\n      <td>1052.0</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1M</td>\n      <td>15</td>\n      <td>1112.0</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M1N</td>\n      <td>10</td>\n      <td>1297.0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postcode  Density  Distance\n0      M1B       19    1698.0\n1      M1C        4    1625.0\n2      M1E       23    1205.0\n3      M1G        4     913.0\n4      M1H       21     913.0\n5      M1J       17    1301.0\n6      M1K       22    1112.0\n7      M1L       32    1052.0\n8      M1M       15    1112.0\n9      M1N       10    1297.0"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "density_venues_in_postcode = all_venues.groupby('Postcode').count()\n\ndensity_venues_in_postcode = pd.DataFrame(list(zip(density_venues_in_postcode.index, density_venues_in_postcode['Venue'])), \n                                  columns=['Postcode', 'Density']).set_index('Postcode').join(postcodes_with_coordinates_df[['Postcode','Distance']].set_index('Postcode'), on='Postcode').reset_index()\ndensity_venues_in_postcode['Density'] = np.int64(density_venues_in_postcode['Density']/(density_venues_in_postcode['Distance']/1000)) #distance in km\ndensity_venues_in_postcode.loc[len(venues_in_postcode.index)] = ['M5E', 0, 111] #add M5E (postcode without venues) with zero as density\n\ndensity_venues_in_postcode.head(10)"
        }, 
        {
            "execution_count": 58, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 58, 
                    "metadata": {}, 
                    "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>Density</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>count</th>\n      <td>103.000000</td>\n    </tr>\n    <tr>\n      <th>mean</th>\n      <td>46.029126</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>48.403625</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>15.000000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>29.000000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>58.500000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>283.000000</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "          Density\ncount  103.000000\nmean    46.029126\nstd     48.403625\nmin      0.000000\n25%     15.000000\n50%     29.000000\n75%     58.500000\nmax    283.000000"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "density_venues_in_postcode[['Density']].describe()"
        }, 
        {
            "execution_count": 59, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "display_data", 
                    "data": {
                        "image/png": 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\n", 
                        "text/plain": "<Figure size 1080x576 with 1 Axes>"
                    }, 
                    "metadata": {
                        "needs_background": "light"
                    }
                }
            ], 
            "source": "density_venues_in_postcode['Density'].hist(bins=7, figsize=(15,8),zorder=2, rwidth=0.9)\n\nplt.xlabel('Number of Venues')\nplt.ylabel('Postcodes')\nplt.title('Venues density per Postcode')\nplt.show()"
        }, 
        {
            "source": "## 5. Cluster Postcodes\n\nNext the postcodes are clustered based on venues density. One important hyperparameter is the number of clusters and based on previous analysis a tentative value is five clusters. Next the elbow method is used to have a better sense of the optimal number.", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 60, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "display_data", 
                    "data": {
                        "image/png": 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\n", 
                        "text/plain": "<Figure size 432x288 with 1 Axes>"
                    }, 
                    "metadata": {
                        "needs_background": "light"
                    }
                }
            ], 
            "source": "from sklearn import metrics\nfrom scipy.spatial.distance import cdist\n\ndistortions = []\nK = range(1,10)\nfor k in K:\n    k_means = KMeans(init = \"k-means++\", n_clusters = k, n_init = 12)\n    k_means.fit(density_venues_in_postcode['Density'].values.reshape(-1, 1))\n    distortions.append(sum(np.min(cdist(density_venues_in_postcode['Density'].values.reshape(-1, 1),\n                                        k_means.cluster_centers_, 'euclidean'), axis=1)) / density_venues_in_postcode['Density'].shape[0])\n\nplt.plot(K, distortions, 'bx-')\nplt.xlabel('k')\nplt.ylabel('Distortion')\nplt.title('The Elbow Method showing the optimal k')\nplt.show()"
        }, 
        {
            "execution_count": 61, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "stream", 
                    "name": "stdout", 
                    "text": "[0 0 0 0 0 0 0 4 0 0 4 4 4 4 4 4 0 0 4 0 0 0 2 4 0 4 0 4 4 0 0 0 0 0 0 0 0\n 2 2 4 4 1 4 1 0 0 4 2 0 2 0 2 3 2 3 2 2 1 3 2 1 4 0 0 4 4 3 4 2 2 4 0 0 0\n 4 4 1 2 0 0 4 2 2 2 0 4 4 4 4 4 0 4 0 0 0 0 0 0 0 0 0 0 0]\n"
                }
            ], 
            "source": "num_clusters = 5\n\nk_means = KMeans(init = \"k-means++\", n_clusters = num_clusters, n_init = 12)\nk_means.fit(density_venues_in_postcode['Density'].values.reshape(-1, 1))\nlabels = k_means.labels_\n\nprint(labels)"
        }, 
        {
            "execution_count": 62, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 62, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Postcode</th>\n      <th>Density</th>\n      <th>Distance</th>\n      <th>Cluster</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>M1B</td>\n      <td>19</td>\n      <td>1698.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>M1C</td>\n      <td>4</td>\n      <td>1625.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>M1E</td>\n      <td>23</td>\n      <td>1205.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>M1G</td>\n      <td>4</td>\n      <td>913.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>M1H</td>\n      <td>21</td>\n      <td>913.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>5</th>\n      <td>M1J</td>\n      <td>17</td>\n      <td>1301.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>6</th>\n      <td>M1K</td>\n      <td>22</td>\n      <td>1112.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>7</th>\n      <td>M1L</td>\n      <td>32</td>\n      <td>1052.0</td>\n      <td>4</td>\n    </tr>\n    <tr>\n      <th>8</th>\n      <td>M1M</td>\n      <td>15</td>\n      <td>1112.0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>9</th>\n      <td>M1N</td>\n      <td>10</td>\n      <td>1297.0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "  Postcode  Density  Distance  Cluster\n0      M1B       19    1698.0        0\n1      M1C        4    1625.0        0\n2      M1E       23    1205.0        0\n3      M1G        4     913.0        0\n4      M1H       21     913.0        0\n5      M1J       17    1301.0        0\n6      M1K       22    1112.0        0\n7      M1L       32    1052.0        4\n8      M1M       15    1112.0        0\n9      M1N       10    1297.0        0"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "density_venues_in_postcode['Cluster'] = k_means.labels_\ndensity_venues_in_postcode.head(10)"
        }, 
        {
            "source": "## 6. Examine clusters\n\nCheck the centroids values of venues density and postcodes per cluster", 
            "cell_type": "markdown", 
            "metadata": {}
        }, 
        {
            "execution_count": 63, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "execution_count": 63, 
                    "metadata": {}, 
                    "data": {
                        "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Cluster</th>\n      <th>Centroid</th>\n      <th>Postcodes</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>14</td>\n      <td>48</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>4</td>\n      <td>40</td>\n      <td>30</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>85</td>\n      <td>16</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1</td>\n      <td>129</td>\n      <td>5</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>3</td>\n      <td>217</td>\n      <td>4</td>\n    </tr>\n  </tbody>\n</table>\n</div>", 
                        "text/plain": "   Cluster  Centroid  Postcodes\n0        0        14         48\n1        4        40         30\n2        2        85         16\n3        1       129          5\n4        3       217          4"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "centroids = np.int64(round(density_venues_in_postcode.groupby('Cluster').mean()['Density']))\nfrecuency = density_venues_in_postcode.groupby('Cluster').count()['Postcode']\n\ncluster_info = pd.DataFrame([np.arange(0,5), centroids, frecuency], index=['Cluster', 'Centroid','Postcodes']).T\ncluster_info.sort_values('Centroid', inplace=True)\ncluster_info.reset_index(drop=True, inplace=True)\n\ncluster_info"
        }, 
        {
            "execution_count": 64, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
                {
                    "output_type": "display_data", 
                    "data": {
                        "image/png": 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                        "text/plain": "<Figure size 1224x360 with 1 Axes>"
                    }, 
                    "metadata": {
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                    }
                }
            ], 
            "source": "fig, ax = plt.subplots(figsize=(17,5))\nclusters= ['Low Venues Density','Medium-Low Venues Density','Medium-High Venues Density','High Venues Density','Very High Venues Density']\ncolors = ['r','g','b','c','m']\nlegend = []\n\nfor id, cluster in enumerate(clusters):\n    legend.append('Centroid={}'.format(cluster_info['Centroid'][id]))\n    bar = ax.bar(cluster, cluster_info['Postcodes'][id], 0.48, color=colors[id])\n\nax.set_ylabel('Postalcodes')\nax.set_title('Postalcodes per Cluster')\n# ax.set_facecolor((1,1,1))\n# ax.grid(True, axis='y',color='k', linestyle='-', linewidth=1)\n\nplt.legend(legend, fontsize=11)\n\nplt.show()"
        }, 
        {
            "execution_count": 65, 
            "cell_type": "code", 
            "metadata": {}, 
            "outputs": [
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                    "execution_count": 65, 
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            var popup_f4a2bf2cc9174499a381b3596a63f418 = L.popup({maxWidth: '300'});

            
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            var popup_08f5cb92450a48dea48d404295bb0bd9 = L.popup({maxWidth: '300'});

            
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                var html_3ca3aadb6de94d4da51b1bb0d8a9e0a1 = $('<div id="html_3ca3aadb6de94d4da51b1bb0d8a9e0a1" style="width: 100.0%; height: 100.0%;">Postal Code: M5E;  Borough: Downtown Toronto;  Neighborhoods: Berczy Park; Low Venues Density</div>')[0];
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            circle_d6f1459e8f534a4b82560cb8b28e9741.bindPopup(popup_c51bc6b8ffe54849afaf64a03eb69fc1);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>", 
                        "text/plain": "<folium.folium.Map at 0x7f8790140550>"
                    }, 
                    "output_type": "execute_result"
                }
            ], 
            "source": "postcodes_with_coordinates_df = pd.concat([postcodes_with_coordinates_df[:56],postcodes_with_coordinates_df[57:],postcodes_with_coordinates_df[56:57]]) #move M5E to the last row\npostcodes_with_coordinates_df['Cluster'] = k_means.labels_\n\ncolors = ['red','green','blue','cyan','magenta']\nclusters_values = cluster_info['Cluster']\n\nmap = folium.Map(location=[43.6532,-79.3832], zoom_start=11)\n\nfor location in postcodes_with_coordinates_df.itertuples(): #iterate each row of the dataframe\n    cluster_index = clusters_values.index[clusters_values==location[-1]][0]\n    label = 'Postal Code: {};  Borough: {};  Neighborhoods: {}; {}'.format(location[1], location[2], location[3], clusters[cluster_index])\n    label = folium.Popup(label, parse_html=True)    \n    folium.Circle(\n        radius=location[-2],\n        popup=label,\n        location=[location[-4], location[-3]],\n        color=None,\n        fill=True,\n        fill_opacity=0.4,\n        fill_color=colors[cluster_index]\n    ).add_to(map) \n\nmap"
        }, 
        {
            "source": "### Usage\n\nThe results showed on the map could be useful, among others, in:\n1. Real estate: as part of property cost model (venues density could be related to the cost of a property) or as a tool for property search. \n2. Epidemiology research: venues density could be related with noise, pollution or crime.", 
            "cell_type": "markdown", 
            "metadata": {}
        }
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