Burlington_Neighborhoods.ipynb

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   "source": [
    "<h1 align=center><font size = 6>Clustering Neighborhoods in Burlington</font></h1>"
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   "metadata": {},
   "source": [
    "## Applied Data Science Capstone by IBM/Coursera"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this project, the neighborhoods of Burlington (Ontario), the average house price in each neighborhood, and the list of schools for each neighborhood are scraped from  https://burlingtonneighbourhoods.com/ using BeautifulSoup library. School performance scores by Fraser Institute for each school are scraped from https://www.compareschoolrankings.org/. The parks, playgrounds, and sports fields of each neighborhood are searched from FourSquare API and shown on a Folium map. The neighborhoods of Burlington are grouped into 4 clusters based on the school performance scores and house prices, using the k_means clustering algorithm. "
   ]
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   "source": [
    "## Table of Contents\n",
    "\n",
    "\n",
    "<font size = 3>\n",
    "\n",
    "1. <a href='#item1'>Neighborhood Locations</a>\n",
    "\n",
    "2. <a href=\"#item2\">Schools</a>\n",
    "\n",
    "3. <a href=\"#item3\">Houses</a>\n",
    "\n",
    "4. <a href=\"#item4\">Parks</a>\n",
    "\n",
    "5. <a href=\"#item5\">Clustering the Neighborhoods</a>    \n",
    "</font>\n"
   ]
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   "cell_type": "code",
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   "source": [
    "import numpy as np \n",
    "\n",
    "import pandas as pd \n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)\n",
    "\n",
    "import json \n",
    "\n",
    "import requests \n",
    "from pandas.io.json import json_normalize \n",
    "\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "import folium \n",
    "\n",
    "import matplotlib.pyplot as plt\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='item1'></a>\n",
    "## 1. Neighborhood Locations "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The locations of neighborhoods of Burlington shown on the map of Burlington in https://burlingtonneighbourhoods.com/map-of-burlington/ are manually extracted using Google Maps and saved into Neighborhoods.xlsx file."
   ]
  },
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   "cell_type": "code",
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   "outputs": [],
   "source": [
    "Neighborhoods = pd.read_excel('Neighborhoods.xlsx')"
   ]
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
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       "      <th>0</th>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>43.408200</td>\n",
       "      <td>-79.814130</td>\n",
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       "    <tr>\n",
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       "      <td>Brant Hills</td>\n",
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       "      <td>-79.822473</td>\n",
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       "      <th>9</th>\n",
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       "      <td>-79.790942</td>\n",
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       "      <th>10</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>43.365674</td>\n",
       "      <td>-79.804268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>43.381542</td>\n",
       "      <td>-79.754556</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>43.342299</td>\n",
       "      <td>-79.772537</td>\n",
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       "      <th>13</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>43.356680</td>\n",
       "      <td>-79.756073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Tansley</td>\n",
       "      <td>43.379464</td>\n",
       "      <td>-79.788639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>43.345682</td>\n",
       "      <td>-79.846388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>43.394038</td>\n",
       "      <td>-79.773862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Central (Downtown Burlington)</td>\n",
       "      <td>43.332110</td>\n",
       "      <td>-79.805382</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>43.414661</td>\n",
       "      <td>-79.864406</td>\n",
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       "      <th>19</th>\n",
       "      <td>Plains</td>\n",
       "      <td>43.340741</td>\n",
       "      <td>-79.814385</td>\n",
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       "                     Neighborhood   Latitude  Longitude\n",
       "0                       Aldershot  43.312147 -79.859771\n",
       "1                   Alton Village  43.408200 -79.814130\n",
       "2                     Brant Hills  43.366230 -79.839933\n",
       "3                           Dynes  43.352015 -79.786079\n",
       "4               Elizabeth Gardens  43.369097 -79.739184\n",
       "5                   Headon Forest  43.378287 -79.822473\n",
       "6                        Longmoor  43.366607 -79.770717\n",
       "7                       Millcroft  43.392882 -79.806383\n",
       "8                    Mountainside  43.352641 -79.820780\n",
       "9                     The Orchard  43.407001 -79.790942\n",
       "10                         Palmer  43.365674 -79.804268\n",
       "11                       Pinedale  43.381542 -79.754556\n",
       "12                       Roseland  43.342299 -79.772537\n",
       "13                     Shoreacres  43.356680 -79.756073\n",
       "14                        Tansley  43.379464 -79.788639\n",
       "15                       Tyandaga  43.345682 -79.846388\n",
       "16                      Corporate  43.394038 -79.773862\n",
       "17  Central (Downtown Burlington)  43.332110 -79.805382\n",
       "18               Rural Burlington  43.414661 -79.864406\n",
       "19                         Plains  43.340741 -79.814385"
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            var marker_235ceda5eea6479fa61e0a047c7b6641 = L.marker(
                [43.365674, -79.804268],
                {"radius": 5}
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        var popup_f8973626c5dd466d9093f73bc950fd12 = L.popup({"maxWidth": "100%"});

        
            var html_85ae73b6434a453588995f771266a16a = $(`<div id="html_85ae73b6434a453588995f771266a16a" style="width: 100.0%; height: 100.0%;">Palmer</div>`)[0];
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            var marker_3341eded1e2a442897fab274c73173c7 = L.marker(
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                {"radius": 5}
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        var popup_77412a68dfd54642b4f9eb420058952a = L.popup({"maxWidth": "100%"});

        
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        var popup_b8874e2763e4454fb5690f32c9c41d81 = L.popup({"maxWidth": "100%"});

        
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            popup_b8874e2763e4454fb5690f32c9c41d81.setContent(html_2f84fd7d881f4b03a759550c14b91548);
        

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        var popup_16660fa056c34aa9a60b8466a7ac2b90 = L.popup({"maxWidth": "100%"});

        
            var html_e18696ac81204688bac6c8565246ba25 = $(`<div id="html_e18696ac81204688bac6c8565246ba25" style="width: 100.0%; height: 100.0%;">Tansley</div>`)[0];
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        marker_059e9d6d8d414d9f86e74aa8e05c55a3.bindPopup(popup_16660fa056c34aa9a60b8466a7ac2b90)
        ;

        
    
    
            var marker_444bdb2526df4ff0a61713baf5805077 = L.marker(
                [43.345682, -79.846388],
                {"radius": 5}
            ).addTo(map_6539e53d92864bf4bceb6f93bef34008);
        
    
        var popup_bdd657073b48445897fdcaaf9ff1db40 = L.popup({"maxWidth": "100%"});

        
            var html_ac89e932c8f74b7bbf1639d8c2b678c9 = $(`<div id="html_ac89e932c8f74b7bbf1639d8c2b678c9" style="width: 100.0%; height: 100.0%;">Tyandaga</div>`)[0];
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        ;

        
    
    
            var marker_e818368c3e1441eba5f4748c65c72ab4 = L.marker(
                [43.394038, -79.773862],
                {"radius": 5}
            ).addTo(map_6539e53d92864bf4bceb6f93bef34008);
        
    
        var popup_be6d161a5f4841c287ec79c4092646ac = L.popup({"maxWidth": "100%"});

        
            var html_91843d77d0f24d288651dd5b093ecbbd = $(`<div id="html_91843d77d0f24d288651dd5b093ecbbd" style="width: 100.0%; height: 100.0%;">Corporate</div>`)[0];
            popup_be6d161a5f4841c287ec79c4092646ac.setContent(html_91843d77d0f24d288651dd5b093ecbbd);
        

        marker_e818368c3e1441eba5f4748c65c72ab4.bindPopup(popup_be6d161a5f4841c287ec79c4092646ac)
        ;

        
    
    
            var marker_58d1b04039064fa98315d8aec5143248 = L.marker(
                [43.33211, -79.805382],
                {"radius": 5}
            ).addTo(map_6539e53d92864bf4bceb6f93bef34008);
        
    
        var popup_2ffd0db1b4a9405ebd119b401d995a0f = L.popup({"maxWidth": "100%"});

        
            var html_4fee60d773e94d70a71f567a4f7c402b = $(`<div id="html_4fee60d773e94d70a71f567a4f7c402b" style="width: 100.0%; height: 100.0%;">Central (Downtown Burlington)</div>`)[0];
            popup_2ffd0db1b4a9405ebd119b401d995a0f.setContent(html_4fee60d773e94d70a71f567a4f7c402b);
        

        marker_58d1b04039064fa98315d8aec5143248.bindPopup(popup_2ffd0db1b4a9405ebd119b401d995a0f)
        ;

        
    
    
            var marker_a617822546ce476689a882572edcf375 = L.marker(
                [43.414661, -79.864406],
                {"radius": 5}
            ).addTo(map_6539e53d92864bf4bceb6f93bef34008);
        
    
        var popup_ca748da375c4435383edc082d486f370 = L.popup({"maxWidth": "100%"});

        
            var html_ef56e2960e894ae5879cb0c75ee19132 = $(`<div id="html_ef56e2960e894ae5879cb0c75ee19132" style="width: 100.0%; height: 100.0%;">Rural Burlington</div>`)[0];
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        ;

        
    
    
            var marker_0759b4248315405996825f6a67bceeef = L.marker(
                [43.340741, -79.814385],
                {"radius": 5}
            ).addTo(map_6539e53d92864bf4bceb6f93bef34008);
        
    
        var popup_bf449fe616fe4561aae3ccb056a67996 = L.popup({"maxWidth": "100%"});

        
            var html_93d45c4d35e54bf4843ba32aac23ff30 = $(`<div id="html_93d45c4d35e54bf4843ba32aac23ff30" style="width: 100.0%; height: 100.0%;">Plains</div>`)[0];
            popup_bf449fe616fe4561aae3ccb056a67996.setContent(html_93d45c4d35e54bf4843ba32aac23ff30);
        

        marker_0759b4248315405996825f6a67bceeef.bindPopup(popup_bf449fe616fe4561aae3ccb056a67996)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1adc6c16288>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Burlington Location\n",
    "latitude = 43.35\n",
    "longitude = -79.7990\n",
    "\n",
    "# create map\n",
    "Burlington_Neighborhoods = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "\n",
    "# add markers to the map\n",
    "for lat, lon, Neighborhood in zip(Neighborhoods['Latitude'], Neighborhoods['Longitude'], Neighborhoods['Neighborhood']):\n",
    "    label = folium.Popup(str(Neighborhood))\n",
    "    folium.Marker(\n",
    "        [lat, lon],\n",
    "        radius=5,\n",
    "        popup=label).add_to(Burlington_Neighborhoods)\n",
    "       \n",
    "Burlington_Neighborhoods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='item2'></a>\n",
    "## 2. Schools"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scraping the list of schools of each neighborhood"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Reference: https://burlingtonneighbourhoods.com/neighbourhoods/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<!doctype html>\n",
      "<html lang=\"en-US\">\n",
      "  <head>\n",
      "  <meta charset=\"utf-8\">\n",
      "  <meta http-equiv=\"x-ua-compatible\" content=\"ie=edge\">\n",
      "  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1, shrink-to-fit=no\">\n",
      "  <link rel=\"dns-prefetch\" href=\"//player.vimeo.com\">\n",
      "\n",
      "  \n",
      "\t<!-- This site is optimized with the Yoast SEO plugin v14.9 - https://yoast.com/wordpress/plugins/seo/ -->\n",
      "\t<title>Burlington Neighbourhoods - Homes for Sale/Stats/Photos &amp; Local Schools</title>\n",
      "\t<meta name=\"description\" c\n"
     ]
    }
   ],
   "source": [
    "from requests import get\n",
    "url = 'https://burlingtonneighbourhoods.com/neighbourhoods/'\n",
    "response = get(url)\n",
    "print(response.text[0:500])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bs4.BeautifulSoup"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "html_soup = BeautifulSoup(response.text, 'html.parser')\n",
    "type(html_soup)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<li class=\"nav-item u-header__nav-item menu-item menu-aldershot\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/aldershot/\">Aldershot</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-alton-village\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/alton-village/\">Alton Village</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-brant-hills\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/brant-hills/\">Brant Hills</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-central-downtown-burlington\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/central/\">Central (Downtown Burlington)</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-corporate\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/corporate/\">Corporate</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-dynes\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/dynes/\">Dynes</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-elizabeth-gardens\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/elizabeth-gardens/\">Elizabeth Gardens</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-headon-forest\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/headon-forest/\">Headon Forest</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-longmoor\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/longmoor/\">Longmoor</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-millcroft\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/millcroft/\">Millcroft</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-mountainside\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/mountainside/\">Mountainside</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-palmer\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/palmer/\">Palmer</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-pinedale\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/pinedale/\">Pinedale</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-plains\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/plains/\">Plains</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-roseland\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/roseland/\">Roseland</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-rural-burlington\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/rural-burlington/\">Rural Burlington</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-shoreacres\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/shoreacres/\">Shoreacres</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-tansley\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/tansley/\">Tansley</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-the-orchard\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/the-orchard/\">The Orchard</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-tyandaga\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/tyandaga/\">Tyandaga</a></li>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "html_soup.find('ul', class_ = 'sub-menu').find_all('li')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is the list of links to the pages that contains the list of schools for each neighborhood. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['https://burlingtonneighbourhoods.com/neighbourhood/aldershot/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/alton-village/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/brant-hills/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/central/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/corporate/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/dynes/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/elizabeth-gardens/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/headon-forest/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/longmoor/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/millcroft/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/mountainside/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/palmer/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/pinedale/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/plains/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/roseland/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/rural-burlington/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/shoreacres/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/tansley/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/the-orchard/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/tyandaga/']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Links_list=[]\n",
    "\n",
    "for i in range(0, 20):\n",
    "    Links_list.append(html_soup.find('ul', class_ = 'sub-menu').find_all('li')[i].find('a').get('href'))\n",
    "    \n",
    "Links_list  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "Neighborhood = []\n",
    "Schools = []\n",
    "\n",
    "\n",
    "for link in Links_list:\n",
    "    response = get(link)\n",
    "    html_soup = BeautifulSoup(response.text, 'html.parser')\n",
    "    Neighborhood.append(html_soup.title.text.split(':')[0])\n",
    "    try:\n",
    "        Schools.append([e for e in html_soup.find_all('div', class_ = 'col-lg-10 offset-lg-1 mb-9 mb-lg-0')[1].text.split('\\n') if e][:-1])\n",
    "    except ValueError:\n",
    "        Schools.append([e for e in html_soup.find_all('div', class_ = 'col-md-6')[0].text.split('\\n') if e][:-1])\n",
    "        \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Aldershot',\n",
       " 'Alton Village',\n",
       " 'Brant Hills',\n",
       " 'Central (Downtown Burlington)',\n",
       " 'Corporate',\n",
       " 'Dynes ',\n",
       " 'Elizabeth Gardens',\n",
       " 'Headon Forest',\n",
       " 'Longmoor',\n",
       " 'Millcroft',\n",
       " 'Mountainside',\n",
       " 'Palmer',\n",
       " 'Pinedale',\n",
       " 'Plains',\n",
       " 'Roseland',\n",
       " 'Rural Burlington',\n",
       " 'Shoreacres',\n",
       " 'Tansley',\n",
       " 'The Orchard',\n",
       " 'Tyandaga']"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighborhood"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Because of inconsistency in the exact name of schools on this website and the one that will be used later to scrape the school performance scores, we filter some words from the name of schools.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "Filter={'.':'', 'School': '', 'Elementary': '', 'Secondary': '', 'High': '', 'Public': '', 'Catholic': ''}\n",
    "\n",
    "import copy\n",
    "\n",
    "Filtered_Schools = copy.deepcopy(Schools)\n",
    "for i in range (0,len(Filtered_Schools)):\n",
    "    for j in range(0, len(Filtered_Schools[i])):\n",
    "               \n",
    "        for word in Filter:\n",
    "            Filtered_Schools[i][j] = Filtered_Schools[i][j].replace(word, Filter[word])\n",
    "            Filtered_Schools[i][j] = Filtered_Schools[i][j].split('(')[0].rstrip()\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Because of inconsistency in the exact name of schools on this website and the one that will be used later to scrape the school performance scores, some edits are applied here. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "Edit_Dict={'MM Robinson': 'M M Robinson', 'St Timothy’s': 'St Timothy', 'Sir E MacMillan': 'Sir Ernest Macmillan', 'Alexander’s': \"Alexander's\"}\n",
    "\n",
    "Filtered_Schools_Modified = copy.deepcopy(Filtered_Schools)\n",
    "\n",
    "for i in range (0,len(Filtered_Schools_Modified)):\n",
    "    for j in range(0, len(Filtered_Schools_Modified[i])):\n",
    "        for Edit in Edit_Dict:\n",
    "            Filtered_Schools_Modified[i][j] = Filtered_Schools_Modified[i][j].replace(Edit, Edit_Dict[Edit])\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Aldershot': ['Glenview',\n",
       "  'Maplehurst',\n",
       "  'Kings Road',\n",
       "  'Holy Rosary',\n",
       "  'Aldershot',\n",
       "  'Assumption'],\n",
       " 'Alton Village': ['Alton Village',\n",
       "  'St Anne',\n",
       "  'Dr Frank J Hayden',\n",
       "  'Corpus Christi'],\n",
       " 'Brant Hills': ['Paul A Fisher',\n",
       "  'Bruce T Lindley',\n",
       "  'Brant Hills',\n",
       "  'St Mark',\n",
       "  'M M Robinson'],\n",
       " 'Central (Downtown Burlington)': ['Tom Thomson',\n",
       "  'Central',\n",
       "  'Lakeshore',\n",
       "  'St John',\n",
       "  'Central',\n",
       "  'Assumption'],\n",
       " 'Corporate': ['John William Boich',\n",
       "  'St Elizabeth Seton',\n",
       "  'Dr Frank J Hayden',\n",
       "  'Corpus Christi',\n",
       "  'For more detailed information on these Corporate schools, visit our schools page'],\n",
       " 'Dynes ': ['Ryerson', 'Tecumseh', 'St Paul', 'Assumption'],\n",
       " 'Elizabeth Gardens': ['Mohawk Gardens',\n",
       "  'St Patrick',\n",
       "  'Pineland',\n",
       "  'Robert Bateman',\n",
       "  'Nelson',\n",
       "  'Ascension'],\n",
       " 'Headon Forest': ['C H Norton',\n",
       "  'St Timothy',\n",
       "  'Florence Meares',\n",
       "  'Dr Frank J Hayden',\n",
       "  'M M Robinson',\n",
       "  'Notre Dame'],\n",
       " 'Longmoor': ['Pauline Johnson',\n",
       "  'John T Tuck',\n",
       "  'Pineland',\n",
       "  'St Raphael',\n",
       "  'Nelson',\n",
       "  'Assumption'],\n",
       " 'Millcroft': ['Charles R Beaudoin',\n",
       "  'Florence Meares',\n",
       "  'Sacred Heart of Jesus',\n",
       "  'Dr Frank J Hayden',\n",
       "  'Corpus Christi'],\n",
       " 'Mountainside': ['Clarksdale',\n",
       "  'St Timothy',\n",
       "  'Rolling Meadows',\n",
       "  'St Gabriel',\n",
       "  'M M Robinson',\n",
       "  'Notre Dame'],\n",
       " 'Palmer': ['Canadian Martyrs',\n",
       "  'Dr Charles Best',\n",
       "  'Sir Ernest Macmillan',\n",
       "  'Clarksdale',\n",
       "  'M M Robinson',\n",
       "  'Notre Dame'],\n",
       " 'Pinedale': ['Frontenac',\n",
       "  'Ascension',\n",
       "  'Pineland',\n",
       "  'Robert Bateman',\n",
       "  'Assumption'],\n",
       " 'Plains': ['Tom Thomson',\n",
       "  'Tecumseh',\n",
       "  'St Paul',\n",
       "  'St Gabriel',\n",
       "  'St John',\n",
       "  'Central',\n",
       "  'Assumption'],\n",
       " 'Roseland': ['John T Tuck',\n",
       "  'Pineland',\n",
       "  'St Raphael',\n",
       "  'St Paul',\n",
       "  'Nelson',\n",
       "  'Assumption'],\n",
       " 'Rural Burlington': ['Kilbride',\n",
       "  'Bruce T Lindley',\n",
       "  'Rolling Meadows',\n",
       "  'St Gabriel',\n",
       "  'Dr Frank J Hayden',\n",
       "  'M M Robinson',\n",
       "  'Notre Dame'],\n",
       " 'Shoreacres': ['John T Tuck',\n",
       "  'Mohawk Gardens',\n",
       "  'Pineland',\n",
       "  'St Raphael',\n",
       "  'Nelson',\n",
       "  'Assumption'],\n",
       " 'Tansley': ['Dr Charles Best',\n",
       "  'Clarksdale',\n",
       "  'Canadian Martyrs',\n",
       "  'M M Robinson',\n",
       "  'Notre Dame'],\n",
       " 'The Orchard': ['John William Boich',\n",
       "  'Orchard Park',\n",
       "  \"Alexander's\",\n",
       "  'St Elizabeth Seton',\n",
       "  'St Christopher',\n",
       "  'Dr Frank J Hayden',\n",
       "  'Corpus Christi'],\n",
       " 'Tyandaga': ['Maplehurst',\n",
       "  'Paul A Fisher',\n",
       "  'Clarksdale',\n",
       "  'St Mark',\n",
       "  'St Gabriel',\n",
       "  'Aldershot',\n",
       "  'M M Robinson',\n",
       "  'Notre Dame']}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighborhood_Schools_Filtered_Modified = {Neighborhood[i]: Filtered_Schools_Modified[i] for i in range(len(Filtered_Schools_Modified))}\n",
    "Neighborhood_Schools_Filtered_Modified"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scraping the Rating of each school "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " Reference: https://www.compareschoolrankings.org/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " On the website above, the list of all the schools in Burlington is searched and the pages of results are saved as html files. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Elementery Schools "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "FI_Report_Elementy=open('FI_Ranking_Elementry.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bs4.BeautifulSoup"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "html_soup_Elementy = BeautifulSoup(FI_Report_Elementy, 'html.parser')\n",
    "type(html_soup_Elementy)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "SchoolList=[]\n",
    "RatingList=[]\n",
    "\n",
    "for i in range(2,44):\n",
    "    SchoolName=html_soup_Elementy.find_all('table', class_='v-datatable v-table theme--light')[1].find_all('tr')[i].find('a', class_='school-name label').text.strip()\n",
    "    SchoolList.append(SchoolName)\n",
    "    try:\n",
    "        Rating_1=html_soup_Elementy.find_all('table', class_='v-datatable v-table theme--light')[1].find_all('tr')[i].find('div', class_='flex xs6 text-xs-right field score_color_1').text\n",
    "        RatingList.append(Rating_1)\n",
    "    except:\n",
    "        try:\n",
    "            Rating_2=html_soup_Elementy.find_all('table', class_='v-datatable v-table theme--light')[1].find_all('tr')[i].find('div', class_='flex xs6 text-xs-right field score_color_2').text\n",
    "            RatingList.append(Rating_2)\n",
    "        except:\n",
    "            try:\n",
    "                Rating_3=html_soup_Elementy.find_all('table', class_='v-datatable v-table theme--light')[1].find_all('tr')[i].find('div', class_='flex xs6 text-xs-right field score_color_3').text\n",
    "                RatingList.append(Rating_3)\n",
    "            except:\n",
    "                Rating_4=html_soup_Elementy.find_all('table', class_='v-datatable v-table theme--light')[1].find_all('tr')[i].find('div', class_='flex xs6 text-xs-right field score_color_4').text\n",
    "                RatingList.append(Rating_4)\n",
    "            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Secondary Schools "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "FI_Report_Secondary=open('FI_Ranking_Secondary.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bs4.BeautifulSoup"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from bs4 import BeautifulSoup\n",
    "html_soup_Secondary = BeautifulSoup(FI_Report_Secondary, 'html.parser')\n",
    "type(html_soup_Secondary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(2,11):\n",
    "    SchoolName=html_soup_Secondary.find_all('table', class_='v-datatable v-table theme--light')[1].find_all('tr')[i].find('a', class_='school-name label').text.strip()\n",
    "    SchoolList.append(SchoolName)\n",
    "    try:\n",
    "        Rating_1=html_soup_Secondary_soup.find_all('table', class_='v-datatable v-table theme--light')[1].find_all('tr')[i].find('div', class_='flex xs6 text-xs-right field score_color_1').text\n",
    "        RatingList.append(Rating_1)\n",
    "    except:\n",
    "        try:\n",
    "            Rating_2=html_soup_Secondary.find_all('table', class_='v-datatable v-table theme--light')[1].find_all('tr')[i].find('div', class_='flex xs6 text-xs-right field score_color_2').text\n",
    "            RatingList.append(Rating_2)\n",
    "        except:\n",
    "            try:\n",
    "                Rating_3=html_soup_Secondary.find_all('table', class_='v-datatable v-table theme--light')[1].find_all('tr')[i].find('div', class_='flex xs6 text-xs-right field score_color_3').text\n",
    "                RatingList.append(Rating_3)\n",
    "            except:\n",
    "                Rating_4=html_soup_Secondary.find_all('table', class_='v-datatable v-table theme--light')[1].find_all('tr')[i].find('div', class_='flex xs6 text-xs-right field score_color_4').text\n",
    "                RatingList.append(Rating_4)\n",
    "            "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The school names are filtered for consistancy with the data scraped in section 3.1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "SchoolList_Filtered=copy.deepcopy(SchoolList)\n",
    "Filter={'.':'', 'School': '', 'Elementary': '', 'Secondary': '', 'High': '', 'Public': '', \"(Burlington)\": '', 'Catholic': ''}\n",
    "\n",
    "for i in range(0, len(SchoolList_Filtered)):\n",
    "    for word in Filter:\n",
    "        SchoolList_Filtered[i] = SchoolList_Filtered[i].replace(word, Filter[word])\n",
    "    SchoolList_Filtered[i] = SchoolList_Filtered[i].rstrip()  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(0, len(RatingList)):\n",
    "    RatingList[i]=float(RatingList[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "School_Rating_Dict={}\n",
    "\n",
    "for i in range(0, len(SchoolList_Filtered)):\n",
    "    School_Rating_Dict[SchoolList_Filtered[i]]=RatingList[i]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating a dictionary containing the Fraser Institute (FI) rating of each school in Burlington. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{\"Alexander's\": 7.3,\n",
       " 'Alton Village': 7.9,\n",
       " 'Ascension': 7.3,\n",
       " 'Brant Hills': 3.7,\n",
       " 'Bruce T Lindley': 6.0,\n",
       " 'C H Norton': 7.7,\n",
       " 'Canadian Martyrs': 7.7,\n",
       " 'Central': 6.6,\n",
       " 'Charles R Beaudoin': 8.1,\n",
       " 'Clarksdale': 6.5,\n",
       " 'Florence Meares': 6.7,\n",
       " 'Frontenac': 6.3,\n",
       " 'Glenview': 6.7,\n",
       " 'Holy Rosary': 5.3,\n",
       " 'John T Tuck': 8.8,\n",
       " 'John William Boich': 7.3,\n",
       " 'Kings Road': 4.1,\n",
       " 'Lakeshore': 6.1,\n",
       " 'Maplehurst': 6.5,\n",
       " 'Mohawk Gardens': 4.4,\n",
       " 'Orchard Park': 7.6,\n",
       " 'Paul A Fisher': 8.1,\n",
       " 'Pauline Johnson': 4.2,\n",
       " 'Pineland': 7.7,\n",
       " 'Rolling Meadows': 6.7,\n",
       " 'Ryerson': 7.3,\n",
       " 'Sacred Heart of Jesus': 7.5,\n",
       " 'Sir Ernest Macmillan': 6.0,\n",
       " 'St Anne': 8.7,\n",
       " 'St Christopher': 8.0,\n",
       " 'St Elizabeth Seton': 5.8,\n",
       " 'St Gabriel': 6.4,\n",
       " 'St John': 6.4,\n",
       " 'St Mark': 5.6,\n",
       " 'St Patrick': 5.2,\n",
       " 'St Paul': 6.6,\n",
       " 'St Raphael': 8.1,\n",
       " 'St Timothy': 7.8,\n",
       " 'Tecumseh': 4.9,\n",
       " 'Tom Thomson': 7.2,\n",
       " 'Ã‰cole Ã©lÃ©mentaire Renaissance': 8.1,\n",
       " 'Ã‰Ã‰C Saint-Philippe': 5.6,\n",
       " 'Aldershot': 7.0,\n",
       " 'Assumption': 6.3,\n",
       " 'Burlington Central': 6.7,\n",
       " 'Corpus Christi': 7.6,\n",
       " 'Dr Frank J Hayden': 7.4,\n",
       " 'M M Robinson': 6.0,\n",
       " 'Nelson': 7.6,\n",
       " 'Notre Dame': 7.0,\n",
       " 'Robert Bateman': 6.6,\n",
       " 'Kilbride': 5.5}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "School_Rating_Dict_Modified = copy.deepcopy(School_Rating_Dict)\n",
    "School_Rating_Dict_Modified['Kilbride'] = 5.5\n",
    "\n",
    "School_Rating_Dict_Modified"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Calculating the school rating statistics for each neighborhood "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Aldershot': [6.7, 6.5, 4.1, 5.3, 7.0, 6.3],\n",
       " 'Alton Village': [7.9, 8.7, 7.4, 7.6],\n",
       " 'Brant Hills': [8.1, 6.0, 3.7, 5.6, 6.0],\n",
       " 'Central (Downtown Burlington)': [7.2, 6.6, 6.1, 6.4, 6.6, 6.3],\n",
       " 'Corporate': [7.3, 5.8, 7.4, 7.6, 'Rating Not Available'],\n",
       " 'Dynes ': [7.3, 4.9, 6.6, 6.3],\n",
       " 'Elizabeth Gardens': [4.4, 5.2, 7.7, 6.6, 7.6, 7.3],\n",
       " 'Headon Forest': [7.7, 7.8, 6.7, 7.4, 6.0, 7.0],\n",
       " 'Longmoor': [4.2, 8.8, 7.7, 8.1, 7.6, 6.3],\n",
       " 'Millcroft': [8.1, 6.7, 7.5, 7.4, 7.6],\n",
       " 'Mountainside': [6.5, 7.8, 6.7, 6.4, 6.0, 7.0],\n",
       " 'Palmer': [7.7, 'Rating Not Available', 6.0, 6.5, 6.0, 7.0],\n",
       " 'Pinedale': [6.3, 7.3, 7.7, 6.6, 6.3],\n",
       " 'Plains': [7.2, 4.9, 6.6, 6.4, 6.4, 6.6, 6.3],\n",
       " 'Roseland': [8.8, 7.7, 8.1, 6.6, 7.6, 6.3],\n",
       " 'Rural Burlington': [5.5, 6.0, 6.7, 6.4, 7.4, 6.0, 7.0],\n",
       " 'Shoreacres': [8.8, 4.4, 7.7, 8.1, 7.6, 6.3],\n",
       " 'Tansley': ['Rating Not Available', 6.5, 7.7, 6.0, 7.0],\n",
       " 'The Orchard': [7.3, 7.6, 7.3, 5.8, 8.0, 7.4, 7.6],\n",
       " 'Tyandaga': [6.5, 8.1, 6.5, 5.6, 6.4, 7.0, 6.0, 7.0]}"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Rating_Dictionary = copy.deepcopy(Neighborhood_Schools_Filtered_Modified)\n",
    "\n",
    "for Neighborhood in Rating_Dictionary:\n",
    "    for i in range(0,len(Rating_Dictionary.get(Neighborhood))):\n",
    "        try:\n",
    "            Rating_Dictionary[Neighborhood][i] = School_Rating_Dict_Modified[Neighborhood_Schools_Filtered_Modified.get(Neighborhood)[i]]\n",
    "        except:\n",
    "            Rating_Dictionary[Neighborhood][i] = str('Rating Not Available')\n",
    "\n",
    "\n",
    "Rating_Dictionary"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The FI score for 'Dr Charles Best' was not available. Therefore, it was removed from the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "Rating_Dictionary_Cleaned=copy.deepcopy(Rating_Dictionary)\n",
    "\n",
    "for key in Rating_Dictionary_Cleaned.keys():\n",
    "    try:\n",
    "        Rating_Dictionary_Cleaned[key].remove('Rating Not Available')\n",
    "    except:\n",
    "        pass\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Average FI Score</th>\n",
       "      <th>Maximum FI Score</th>\n",
       "      <th>Minimum FI Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>7.9</td>\n",
       "      <td>8.7</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>5.9</td>\n",
       "      <td>8.1</td>\n",
       "      <td>3.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Central (Downtown Burlington)</td>\n",
       "      <td>6.5</td>\n",
       "      <td>7.2</td>\n",
       "      <td>6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>6.3</td>\n",
       "      <td>7.3</td>\n",
       "      <td>4.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Elizabeth Gardens</td>\n",
       "      <td>6.5</td>\n",
       "      <td>7.7</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>7.1</td>\n",
       "      <td>8.8</td>\n",
       "      <td>4.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>7.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>6.7</td>\n",
       "      <td>7.8</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>6.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>6.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Plains</td>\n",
       "      <td>6.3</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>7.5</td>\n",
       "      <td>8.8</td>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>6.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>5.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>7.2</td>\n",
       "      <td>8.8</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Tansley</td>\n",
       "      <td>6.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>7.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>6.6</td>\n",
       "      <td>8.1</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Neighborhood  Average FI Score  Maximum FI Score  \\\n",
       "0                       Aldershot               6.0               7.0   \n",
       "1                   Alton Village               7.9               8.7   \n",
       "2                     Brant Hills               5.9               8.1   \n",
       "3   Central (Downtown Burlington)               6.5               7.2   \n",
       "4                       Corporate               7.0               7.6   \n",
       "5                          Dynes                6.3               7.3   \n",
       "6               Elizabeth Gardens               6.5               7.7   \n",
       "7                   Headon Forest               7.1               7.8   \n",
       "8                        Longmoor               7.1               8.8   \n",
       "9                       Millcroft               7.5               8.1   \n",
       "10                   Mountainside               6.7               7.8   \n",
       "11                         Palmer               6.6               7.7   \n",
       "12                       Pinedale               6.8               7.7   \n",
       "13                         Plains               6.3               7.2   \n",
       "14                       Roseland               7.5               8.8   \n",
       "15               Rural Burlington               6.4               7.4   \n",
       "16                     Shoreacres               7.2               8.8   \n",
       "17                        Tansley               6.8               7.7   \n",
       "18                    The Orchard               7.3               8.0   \n",
       "19                       Tyandaga               6.6               8.1   \n",
       "\n",
       "    Minimum FI Score  \n",
       "0                4.1  \n",
       "1                7.4  \n",
       "2                3.7  \n",
       "3                6.1  \n",
       "4                5.8  \n",
       "5                4.9  \n",
       "6                4.4  \n",
       "7                6.0  \n",
       "8                4.2  \n",
       "9                6.7  \n",
       "10               6.0  \n",
       "11               6.0  \n",
       "12               6.3  \n",
       "13               4.9  \n",
       "14               6.3  \n",
       "15               5.5  \n",
       "16               4.4  \n",
       "17               6.0  \n",
       "18               5.8  \n",
       "19               5.6  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import statistics\n",
    "\n",
    "\n",
    "Rating_Dictionary_Cleaned_Copy=copy.deepcopy(Rating_Dictionary_Cleaned )\n",
    "Neighborhood_Name = []\n",
    "School_Rating_ave = []\n",
    "School_Rating_min = []\n",
    "School_Rating_max = []\n",
    "\n",
    "for key in Rating_Dictionary_Cleaned_Copy.keys():\n",
    "    Neighborhood_Name.append(key)\n",
    "    School_Rating_ave.append(round(statistics.mean(Rating_Dictionary_Cleaned_Copy.get(key)),1))\n",
    "    School_Rating_min.append(min(Rating_Dictionary_Cleaned_Copy.get(key)))\n",
    "    School_Rating_max.append(max(Rating_Dictionary_Cleaned_Copy.get(key)))\n",
    "    \n",
    "    \n",
    "School_Rating = pd.DataFrame({'Neighborhood': Neighborhood_Name, 'Average FI Score': School_Rating_ave, 'Maximum FI Score': School_Rating_max, 'Minimum FI Score': School_Rating_min})\n",
    "School_Rating"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The name of Dynes neighborhood was edited for consistency with the other data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "School_Rating['Neighborhood'] = School_Rating['Neighborhood'].replace('Dynes ', 'Dynes')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average FI Score</th>\n",
       "      <th>Maximum FI Score</th>\n",
       "      <th>Minimum FI Score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>20.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.800000</td>\n",
       "      <td>7.875000</td>\n",
       "      <td>5.505000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.523148</td>\n",
       "      <td>0.555238</td>\n",
       "      <td>0.970879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.900000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>3.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>6.475000</td>\n",
       "      <td>7.550000</td>\n",
       "      <td>4.775000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.750000</td>\n",
       "      <td>7.750000</td>\n",
       "      <td>5.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.125000</td>\n",
       "      <td>8.100000</td>\n",
       "      <td>6.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.900000</td>\n",
       "      <td>8.800000</td>\n",
       "      <td>7.400000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Average FI Score  Maximum FI Score  Minimum FI Score\n",
       "count         20.000000         20.000000         20.000000\n",
       "mean           6.800000          7.875000          5.505000\n",
       "std            0.523148          0.555238          0.970879\n",
       "min            5.900000          7.000000          3.700000\n",
       "25%            6.475000          7.550000          4.775000\n",
       "50%            6.750000          7.750000          5.800000\n",
       "75%            7.125000          8.100000          6.025000\n",
       "max            7.900000          8.800000          7.400000"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "School_Rating.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The standard deviation for 'Minimum FI Score' data is about twice of the standard deviation of 'Average FI Score' data. Therefore, a new parameter, (Average_Score)X(min_Score), was defined to be used in clustering of the neighborhoods. Use of this parameter instead of using only the 'Average FI Score' would better distinguish the distribution of school performance scores for each neighborhood. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "School_Rating['(Average_Score)X(min_Score)']=School_Rating['Average FI Score']*School_Rating['Minimum FI Score']\n",
    "School_Rating.set_index('Neighborhood', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average FI Score</th>\n",
       "      <th>Maximum FI Score</th>\n",
       "      <th>Minimum FI Score</th>\n",
       "      <th>(Average_Score)X(min_Score)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Aldershot</th>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>24.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alton Village</th>\n",
       "      <td>7.9</td>\n",
       "      <td>8.7</td>\n",
       "      <td>7.4</td>\n",
       "      <td>58.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brant Hills</th>\n",
       "      <td>5.9</td>\n",
       "      <td>8.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>21.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central (Downtown Burlington)</th>\n",
       "      <td>6.5</td>\n",
       "      <td>7.2</td>\n",
       "      <td>6.1</td>\n",
       "      <td>39.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corporate</th>\n",
       "      <td>7.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>5.8</td>\n",
       "      <td>40.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dynes</th>\n",
       "      <td>6.3</td>\n",
       "      <td>7.3</td>\n",
       "      <td>4.9</td>\n",
       "      <td>30.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elizabeth Gardens</th>\n",
       "      <td>6.5</td>\n",
       "      <td>7.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>28.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Headon Forest</th>\n",
       "      <td>7.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>42.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longmoor</th>\n",
       "      <td>7.1</td>\n",
       "      <td>8.8</td>\n",
       "      <td>4.2</td>\n",
       "      <td>29.82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Millcroft</th>\n",
       "      <td>7.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>6.7</td>\n",
       "      <td>50.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mountainside</th>\n",
       "      <td>6.7</td>\n",
       "      <td>7.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>40.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Palmer</th>\n",
       "      <td>6.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>39.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pinedale</th>\n",
       "      <td>6.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>6.3</td>\n",
       "      <td>42.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plains</th>\n",
       "      <td>6.3</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>30.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roseland</th>\n",
       "      <td>7.5</td>\n",
       "      <td>8.8</td>\n",
       "      <td>6.3</td>\n",
       "      <td>47.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rural Burlington</th>\n",
       "      <td>6.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>5.5</td>\n",
       "      <td>35.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoreacres</th>\n",
       "      <td>7.2</td>\n",
       "      <td>8.8</td>\n",
       "      <td>4.4</td>\n",
       "      <td>31.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tansley</th>\n",
       "      <td>6.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>40.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Orchard</th>\n",
       "      <td>7.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>42.34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tyandaga</th>\n",
       "      <td>6.6</td>\n",
       "      <td>8.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>36.96</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Average FI Score  Maximum FI Score  \\\n",
       "Neighborhood                                                        \n",
       "Aldershot                                   6.0               7.0   \n",
       "Alton Village                               7.9               8.7   \n",
       "Brant Hills                                 5.9               8.1   \n",
       "Central (Downtown Burlington)               6.5               7.2   \n",
       "Corporate                                   7.0               7.6   \n",
       "Dynes                                       6.3               7.3   \n",
       "Elizabeth Gardens                           6.5               7.7   \n",
       "Headon Forest                               7.1               7.8   \n",
       "Longmoor                                    7.1               8.8   \n",
       "Millcroft                                   7.5               8.1   \n",
       "Mountainside                                6.7               7.8   \n",
       "Palmer                                      6.6               7.7   \n",
       "Pinedale                                    6.8               7.7   \n",
       "Plains                                      6.3               7.2   \n",
       "Roseland                                    7.5               8.8   \n",
       "Rural Burlington                            6.4               7.4   \n",
       "Shoreacres                                  7.2               8.8   \n",
       "Tansley                                     6.8               7.7   \n",
       "The Orchard                                 7.3               8.0   \n",
       "Tyandaga                                    6.6               8.1   \n",
       "\n",
       "                               Minimum FI Score  (Average_Score)X(min_Score)  \n",
       "Neighborhood                                                                  \n",
       "Aldershot                                   4.1                        24.60  \n",
       "Alton Village                               7.4                        58.46  \n",
       "Brant Hills                                 3.7                        21.83  \n",
       "Central (Downtown Burlington)               6.1                        39.65  \n",
       "Corporate                                   5.8                        40.60  \n",
       "Dynes                                       4.9                        30.87  \n",
       "Elizabeth Gardens                           4.4                        28.60  \n",
       "Headon Forest                               6.0                        42.60  \n",
       "Longmoor                                    4.2                        29.82  \n",
       "Millcroft                                   6.7                        50.25  \n",
       "Mountainside                                6.0                        40.20  \n",
       "Palmer                                      6.0                        39.60  \n",
       "Pinedale                                    6.3                        42.84  \n",
       "Plains                                      4.9                        30.87  \n",
       "Roseland                                    6.3                        47.25  \n",
       "Rural Burlington                            5.5                        35.20  \n",
       "Shoreacres                                  4.4                        31.68  \n",
       "Tansley                                     6.0                        40.80  \n",
       "The Orchard                                 5.8                        42.34  \n",
       "Tyandaga                                    5.6                        36.96  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "School_Rating"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='item3'></a>\n",
    "## 3. Houses "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Scraping the House Price Data <a name=\"4.1\"></a>\n",
    " Reference: https://burlingtonneighbourhoods.com/neighbourhoods/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<!doctype html>\n",
      "<html lang=\"en-US\">\n",
      "  <head>\n",
      "  <meta charset=\"utf-8\">\n",
      "  <meta http-equiv=\"x-ua-compatible\" content=\"ie=edge\">\n",
      "  <meta name=\"viewport\" content=\"width=device-width, initial-scale=1, shrink-to-fit=no\">\n",
      "  <link rel=\"dns-prefetch\" href=\"//player.vimeo.com\">\n",
      "\n",
      "  \n",
      "\t<!-- This site is optimized with the Yoast SEO plugin v14.9 - https://yoast.com/wordpress/plugins/seo/ -->\n",
      "\t<title>Burlington Neighbourhoods - Homes for Sale/Stats/Photos &amp; Local Schools</title>\n",
      "\t<meta name=\"description\" c\n"
     ]
    }
   ],
   "source": [
    "url = 'https://burlingtonneighbourhoods.com/neighbourhoods/'\n",
    "response = get(url)\n",
    "print(response.text[0:500])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "bs4.BeautifulSoup"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "html_soup = BeautifulSoup(response.text, 'html.parser')\n",
    "type(html_soup)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<li class=\"nav-item u-header__nav-item menu-item menu-aldershot\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/aldershot/\">Aldershot</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-alton-village\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/alton-village/\">Alton Village</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-brant-hills\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/brant-hills/\">Brant Hills</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-central-downtown-burlington\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/central/\">Central (Downtown Burlington)</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-corporate\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/corporate/\">Corporate</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-dynes\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/dynes/\">Dynes</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-elizabeth-gardens\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/elizabeth-gardens/\">Elizabeth Gardens</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-headon-forest\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/headon-forest/\">Headon Forest</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-longmoor\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/longmoor/\">Longmoor</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-millcroft\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/millcroft/\">Millcroft</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-mountainside\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/mountainside/\">Mountainside</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-palmer\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/palmer/\">Palmer</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-pinedale\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/pinedale/\">Pinedale</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-plains\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/plains/\">Plains</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-roseland\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/roseland/\">Roseland</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-rural-burlington\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/rural-burlington/\">Rural Burlington</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-shoreacres\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/shoreacres/\">Shoreacres</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-tansley\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/tansley/\">Tansley</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-the-orchard\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/the-orchard/\">The Orchard</a></li>,\n",
       " <li class=\"nav-item u-header__nav-item menu-item menu-tyandaga\"><a href=\"https://burlingtonneighbourhoods.com/neighbourhood/tyandaga/\">Tyandaga</a></li>]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "html_soup.find('ul', class_ = 'sub-menu').find_all('li')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['https://burlingtonneighbourhoods.com/neighbourhood/aldershot/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/alton-village/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/brant-hills/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/central/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/corporate/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/dynes/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/elizabeth-gardens/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/headon-forest/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/longmoor/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/millcroft/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/mountainside/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/palmer/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/pinedale/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/plains/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/roseland/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/rural-burlington/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/shoreacres/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/tansley/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/the-orchard/',\n",
       " 'https://burlingtonneighbourhoods.com/neighbourhood/tyandaga/']"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Links_list=[]\n",
    "\n",
    "for i in range(0, 20):\n",
    "    Links_list.append(html_soup.find('ul', class_ = 'sub-menu').find_all('li')[i].find('a').get('href'))\n",
    "    \n",
    "Links_list    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "Neighborhood = []\n",
    "Price_Detached = []\n",
    "Price_Attached = []\n",
    "Price_Condo = []\n",
    "\n",
    "for link in Links_list:\n",
    "    response = get(link)\n",
    "    html_soup = BeautifulSoup(response.text, 'html.parser')\n",
    "    Neighborhood.append(html_soup.title.text.split(':')[0])\n",
    "    try:\n",
    "        Price_Detached.append(int(html_soup.find_all('div', class_ = 'cost')[0].text[1:].replace(',', '')))\n",
    "    except ValueError:\n",
    "        Price_Detached.append('N/A')\n",
    "    try:\n",
    "        Price_Attached.append(int(html_soup.find_all('div', class_ = 'cost')[1].text[1:].replace(',', '')))\n",
    "    except ValueError:\n",
    "        Price_Attached.append('N/A')\n",
    "    try:\n",
    "        Price_Condo.append(int(html_soup.find_all('div', class_ = 'cost')[2].text[1:].replace(',', '')))\n",
    "    except ValueError:\n",
    "        Price_Condo.append('N/A')        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Average Detached House Price</th>\n",
       "      <th>Average Attached House Price</th>\n",
       "      <th>Average Condo Apartment Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>1028633</td>\n",
       "      <td>572894</td>\n",
       "      <td>436157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>1004791</td>\n",
       "      <td>694934</td>\n",
       "      <td>396358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>786025</td>\n",
       "      <td>551008</td>\n",
       "      <td>438629</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Central (Downtown Burlington)</td>\n",
       "      <td>988647</td>\n",
       "      <td>744875</td>\n",
       "      <td>733829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>N/A</td>\n",
       "      <td>617953</td>\n",
       "      <td>420929</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>838450</td>\n",
       "      <td>530461</td>\n",
       "      <td>352073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Elizabeth Gardens</td>\n",
       "      <td>904235</td>\n",
       "      <td>592210</td>\n",
       "      <td>567365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>864441</td>\n",
       "      <td>548478</td>\n",
       "      <td>390058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>826188</td>\n",
       "      <td>598186</td>\n",
       "      <td>434500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>1263668</td>\n",
       "      <td>723443</td>\n",
       "      <td>476000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>661295</td>\n",
       "      <td>483861</td>\n",
       "      <td>428237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>752409</td>\n",
       "      <td>523383</td>\n",
       "      <td>403439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>814903</td>\n",
       "      <td>581251</td>\n",
       "      <td>485637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Plains</td>\n",
       "      <td>735543</td>\n",
       "      <td>597244</td>\n",
       "      <td>470178</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>1519006</td>\n",
       "      <td>612250</td>\n",
       "      <td>N/A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>1319136</td>\n",
       "      <td>N/A</td>\n",
       "      <td>N/A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>1222041</td>\n",
       "      <td>586000</td>\n",
       "      <td>N/A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Tansley</td>\n",
       "      <td>896590</td>\n",
       "      <td>636032</td>\n",
       "      <td>394004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>914307</td>\n",
       "      <td>677389</td>\n",
       "      <td>414950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>1116873</td>\n",
       "      <td>535963</td>\n",
       "      <td>444167</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Neighborhood Average Detached House Price  \\\n",
       "0                       Aldershot                      1028633   \n",
       "1                   Alton Village                      1004791   \n",
       "2                     Brant Hills                       786025   \n",
       "3   Central (Downtown Burlington)                       988647   \n",
       "4                       Corporate                          N/A   \n",
       "5                          Dynes                        838450   \n",
       "6               Elizabeth Gardens                       904235   \n",
       "7                   Headon Forest                       864441   \n",
       "8                        Longmoor                       826188   \n",
       "9                       Millcroft                      1263668   \n",
       "10                   Mountainside                       661295   \n",
       "11                         Palmer                       752409   \n",
       "12                       Pinedale                       814903   \n",
       "13                         Plains                       735543   \n",
       "14                       Roseland                      1519006   \n",
       "15               Rural Burlington                      1319136   \n",
       "16                     Shoreacres                      1222041   \n",
       "17                        Tansley                       896590   \n",
       "18                    The Orchard                       914307   \n",
       "19                       Tyandaga                      1116873   \n",
       "\n",
       "   Average Attached House Price Average Condo Apartment Price  \n",
       "0                        572894                        436157  \n",
       "1                        694934                        396358  \n",
       "2                        551008                        438629  \n",
       "3                        744875                        733829  \n",
       "4                        617953                        420929  \n",
       "5                        530461                        352073  \n",
       "6                        592210                        567365  \n",
       "7                        548478                        390058  \n",
       "8                        598186                        434500  \n",
       "9                        723443                        476000  \n",
       "10                       483861                        428237  \n",
       "11                       523383                        403439  \n",
       "12                       581251                        485637  \n",
       "13                       597244                        470178  \n",
       "14                       612250                           N/A  \n",
       "15                          N/A                           N/A  \n",
       "16                       586000                           N/A  \n",
       "17                       636032                        394004  \n",
       "18                       677389                        414950  \n",
       "19                       535963                        444167  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HousePrice = pd.DataFrame({'Neighborhood': Neighborhood, 'Average Detached House Price': Price_Detached, 'Average Attached House Price': Price_Attached, 'Average Condo Apartment Price': Price_Condo})\n",
    "HousePrice"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The name of Dynes neighborhood was edited for consistency with the other data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "HousePrice['Neighborhood'] =HousePrice['Neighborhood'].replace('Dynes ', 'Dynes') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Average Detached House Price</th>\n",
       "      <th>Average Attached House Price</th>\n",
       "      <th>Average Condo Apartment Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>1028633.0</td>\n",
       "      <td>572894.0</td>\n",
       "      <td>436157.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>1004791.0</td>\n",
       "      <td>694934.0</td>\n",
       "      <td>396358.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>786025.0</td>\n",
       "      <td>551008.0</td>\n",
       "      <td>438629.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Central (Downtown Burlington)</td>\n",
       "      <td>988647.0</td>\n",
       "      <td>744875.0</td>\n",
       "      <td>733829.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>617953.0</td>\n",
       "      <td>420929.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>838450.0</td>\n",
       "      <td>530461.0</td>\n",
       "      <td>352073.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Elizabeth Gardens</td>\n",
       "      <td>904235.0</td>\n",
       "      <td>592210.0</td>\n",
       "      <td>567365.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>864441.0</td>\n",
       "      <td>548478.0</td>\n",
       "      <td>390058.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>826188.0</td>\n",
       "      <td>598186.0</td>\n",
       "      <td>434500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>1263668.0</td>\n",
       "      <td>723443.0</td>\n",
       "      <td>476000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>661295.0</td>\n",
       "      <td>483861.0</td>\n",
       "      <td>428237.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>752409.0</td>\n",
       "      <td>523383.0</td>\n",
       "      <td>403439.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>814903.0</td>\n",
       "      <td>581251.0</td>\n",
       "      <td>485637.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Plains</td>\n",
       "      <td>735543.0</td>\n",
       "      <td>597244.0</td>\n",
       "      <td>470178.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>1519006.0</td>\n",
       "      <td>612250.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>1319136.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>1222041.0</td>\n",
       "      <td>586000.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Tansley</td>\n",
       "      <td>896590.0</td>\n",
       "      <td>636032.0</td>\n",
       "      <td>394004.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>914307.0</td>\n",
       "      <td>677389.0</td>\n",
       "      <td>414950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>1116873.0</td>\n",
       "      <td>535963.0</td>\n",
       "      <td>444167.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Neighborhood  Average Detached House Price  \\\n",
       "0                       Aldershot                     1028633.0   \n",
       "1                   Alton Village                     1004791.0   \n",
       "2                     Brant Hills                      786025.0   \n",
       "3   Central (Downtown Burlington)                      988647.0   \n",
       "4                       Corporate                           NaN   \n",
       "5                           Dynes                      838450.0   \n",
       "6               Elizabeth Gardens                      904235.0   \n",
       "7                   Headon Forest                      864441.0   \n",
       "8                        Longmoor                      826188.0   \n",
       "9                       Millcroft                     1263668.0   \n",
       "10                   Mountainside                      661295.0   \n",
       "11                         Palmer                      752409.0   \n",
       "12                       Pinedale                      814903.0   \n",
       "13                         Plains                      735543.0   \n",
       "14                       Roseland                     1519006.0   \n",
       "15               Rural Burlington                     1319136.0   \n",
       "16                     Shoreacres                     1222041.0   \n",
       "17                        Tansley                      896590.0   \n",
       "18                    The Orchard                      914307.0   \n",
       "19                       Tyandaga                     1116873.0   \n",
       "\n",
       "    Average Attached House Price  Average Condo Apartment Price  \n",
       "0                       572894.0                       436157.0  \n",
       "1                       694934.0                       396358.0  \n",
       "2                       551008.0                       438629.0  \n",
       "3                       744875.0                       733829.0  \n",
       "4                       617953.0                       420929.0  \n",
       "5                       530461.0                       352073.0  \n",
       "6                       592210.0                       567365.0  \n",
       "7                       548478.0                       390058.0  \n",
       "8                       598186.0                       434500.0  \n",
       "9                       723443.0                       476000.0  \n",
       "10                      483861.0                       428237.0  \n",
       "11                      523383.0                       403439.0  \n",
       "12                      581251.0                       485637.0  \n",
       "13                      597244.0                       470178.0  \n",
       "14                      612250.0                            NaN  \n",
       "15                           NaN                            NaN  \n",
       "16                      586000.0                            NaN  \n",
       "17                      636032.0                       394004.0  \n",
       "18                      677389.0                       414950.0  \n",
       "19                      535963.0                       444167.0  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HousePrice[['Average Detached House Price','Average Attached House Price','Average Condo Apartment Price']] = HousePrice[['Average Detached House Price','Average Attached House Price','Average Condo Apartment Price']].apply(pd.to_numeric, errors='coerce')\n",
    "HousePrice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Average Detached House Price</th>\n",
       "      <th>Average Attached House Price</th>\n",
       "      <th>Average Condo Apartment Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>661295.0</td>\n",
       "      <td>483861.0</td>\n",
       "      <td>428237.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Plains</td>\n",
       "      <td>735543.0</td>\n",
       "      <td>597244.0</td>\n",
       "      <td>470178.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>752409.0</td>\n",
       "      <td>523383.0</td>\n",
       "      <td>403439.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>786025.0</td>\n",
       "      <td>551008.0</td>\n",
       "      <td>438629.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>814903.0</td>\n",
       "      <td>581251.0</td>\n",
       "      <td>485637.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>826188.0</td>\n",
       "      <td>598186.0</td>\n",
       "      <td>434500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>838450.0</td>\n",
       "      <td>530461.0</td>\n",
       "      <td>352073.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>864441.0</td>\n",
       "      <td>548478.0</td>\n",
       "      <td>390058.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Tansley</td>\n",
       "      <td>896590.0</td>\n",
       "      <td>636032.0</td>\n",
       "      <td>394004.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Elizabeth Gardens</td>\n",
       "      <td>904235.0</td>\n",
       "      <td>592210.0</td>\n",
       "      <td>567365.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>914307.0</td>\n",
       "      <td>677389.0</td>\n",
       "      <td>414950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Central (Downtown Burlington)</td>\n",
       "      <td>988647.0</td>\n",
       "      <td>744875.0</td>\n",
       "      <td>733829.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>1004791.0</td>\n",
       "      <td>694934.0</td>\n",
       "      <td>396358.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>1028633.0</td>\n",
       "      <td>572894.0</td>\n",
       "      <td>436157.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>1116873.0</td>\n",
       "      <td>535963.0</td>\n",
       "      <td>444167.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>1222041.0</td>\n",
       "      <td>586000.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>1263668.0</td>\n",
       "      <td>723443.0</td>\n",
       "      <td>476000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>1319136.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>1519006.0</td>\n",
       "      <td>612250.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>617953.0</td>\n",
       "      <td>420929.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Neighborhood  Average Detached House Price  \\\n",
       "10                   Mountainside                      661295.0   \n",
       "13                         Plains                      735543.0   \n",
       "11                         Palmer                      752409.0   \n",
       "2                     Brant Hills                      786025.0   \n",
       "12                       Pinedale                      814903.0   \n",
       "8                        Longmoor                      826188.0   \n",
       "5                           Dynes                      838450.0   \n",
       "7                   Headon Forest                      864441.0   \n",
       "17                        Tansley                      896590.0   \n",
       "6               Elizabeth Gardens                      904235.0   \n",
       "18                    The Orchard                      914307.0   \n",
       "3   Central (Downtown Burlington)                      988647.0   \n",
       "1                   Alton Village                     1004791.0   \n",
       "0                       Aldershot                     1028633.0   \n",
       "19                       Tyandaga                     1116873.0   \n",
       "16                     Shoreacres                     1222041.0   \n",
       "9                       Millcroft                     1263668.0   \n",
       "15               Rural Burlington                     1319136.0   \n",
       "14                       Roseland                     1519006.0   \n",
       "4                       Corporate                           NaN   \n",
       "\n",
       "    Average Attached House Price  Average Condo Apartment Price  \n",
       "10                      483861.0                       428237.0  \n",
       "13                      597244.0                       470178.0  \n",
       "11                      523383.0                       403439.0  \n",
       "2                       551008.0                       438629.0  \n",
       "12                      581251.0                       485637.0  \n",
       "8                       598186.0                       434500.0  \n",
       "5                       530461.0                       352073.0  \n",
       "7                       548478.0                       390058.0  \n",
       "17                      636032.0                       394004.0  \n",
       "6                       592210.0                       567365.0  \n",
       "18                      677389.0                       414950.0  \n",
       "3                       744875.0                       733829.0  \n",
       "1                       694934.0                       396358.0  \n",
       "0                       572894.0                       436157.0  \n",
       "19                      535963.0                       444167.0  \n",
       "16                      586000.0                            NaN  \n",
       "9                       723443.0                       476000.0  \n",
       "15                           NaN                            NaN  \n",
       "14                      612250.0                            NaN  \n",
       "4                       617953.0                       420929.0  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HousePrice_sorted = HousePrice.sort_values(by='Average Detached House Price')\n",
    "HousePrice_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19],\n",
       " <a list of 20 Text major ticklabel objects>)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Color_List = ['#003f5c', '#bc5090', '#ffa600']\n",
    "\n",
    "\n",
    "ax0 = HousePrice_sorted.plot(kind='scatter',\n",
    "                    x='Neighborhood',\n",
    "                    y='Average Detached House Price',\n",
    "                    figsize=(10, 6),\n",
    "                    color=Color_List[0],  \n",
    "                    s=200                 \n",
    "                    )\n",
    "\n",
    "\n",
    "ax1 = HousePrice_sorted.plot(kind='scatter',\n",
    "                    x='Neighborhood',\n",
    "                    y='Average Attached House Price',\n",
    "                    color=Color_List[1],                 \n",
    "                    ax = ax0,\n",
    "                    s=200                 \n",
    "                   )\n",
    "\n",
    "ax2 = HousePrice_sorted.plot(kind='scatter',\n",
    "                    x='Neighborhood',\n",
    "                    y='Average Condo Apartment Price',\n",
    "                    color=Color_List[2],\n",
    "                    ax = ax0,\n",
    "                    s=200                 \n",
    "                   )\n",
    "\n",
    "ax0.set_ylabel('Average Price (CAD)', fontsize=14)\n",
    "ax0.set_xlabel('Neighborhood', fontsize=14)\n",
    "ax0.set_title('Average Home Price in Burlington in 2019')\n",
    "ax0.legend(['Detached House', 'Attached House', 'Condo Apartment'], loc='upper left', fontsize='x-large', frameon=False)\n",
    "plt.xticks(rotation=90, fontsize=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Handling the Missing Data <a name=\"4.2\"></a>\n",
    "An estimate for the Average Attached House Price for the \"Corporate\" neighborhood is needed for the clustering. Because the average price of detached houses and condo apartments do not follow the same trend as the average price for detached houses, they can not be used for the estimation of the missing data. Therefore, the average of the average detached house price for the other 19 neighboroods is used as the estimate for the 'Corporate' neighborhood. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average Detached House Price</th>\n",
       "      <th>Average Attached House Price</th>\n",
       "      <th>Average Condo Apartment Price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.900000e+01</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>17.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>9.714306e+05</td>\n",
       "      <td>600411.315789</td>\n",
       "      <td>452147.647059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.257162e+05</td>\n",
       "      <td>69801.038582</td>\n",
       "      <td>87003.707108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>6.612950e+05</td>\n",
       "      <td>483861.000000</td>\n",
       "      <td>352073.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>8.205455e+05</td>\n",
       "      <td>549743.000000</td>\n",
       "      <td>403439.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.042350e+05</td>\n",
       "      <td>592210.000000</td>\n",
       "      <td>434500.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.072753e+06</td>\n",
       "      <td>626992.500000</td>\n",
       "      <td>470178.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.519006e+06</td>\n",
       "      <td>744875.000000</td>\n",
       "      <td>733829.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Average Detached House Price  Average Attached House Price  \\\n",
       "count                  1.900000e+01                     19.000000   \n",
       "mean                   9.714306e+05                 600411.315789   \n",
       "std                    2.257162e+05                  69801.038582   \n",
       "min                    6.612950e+05                 483861.000000   \n",
       "25%                    8.205455e+05                 549743.000000   \n",
       "50%                    9.042350e+05                 592210.000000   \n",
       "75%                    1.072753e+06                 626992.500000   \n",
       "max                    1.519006e+06                 744875.000000   \n",
       "\n",
       "       Average Condo Apartment Price  \n",
       "count                      17.000000  \n",
       "mean                   452147.647059  \n",
       "std                     87003.707108  \n",
       "min                    352073.000000  \n",
       "25%                    403439.000000  \n",
       "50%                    434500.000000  \n",
       "75%                    470178.000000  \n",
       "max                    733829.000000  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HousePrice_sorted.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        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>Average Detached House Price</th>\n",
       "      <th>Average Attached House Price</th>\n",
       "      <th>Average Condo Apartment Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Mountainside</th>\n",
       "      <td>661295.0</td>\n",
       "      <td>483861.0</td>\n",
       "      <td>428237.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plains</th>\n",
       "      <td>735543.0</td>\n",
       "      <td>597244.0</td>\n",
       "      <td>470178.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Palmer</th>\n",
       "      <td>752409.0</td>\n",
       "      <td>523383.0</td>\n",
       "      <td>403439.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brant Hills</th>\n",
       "      <td>786025.0</td>\n",
       "      <td>551008.0</td>\n",
       "      <td>438629.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pinedale</th>\n",
       "      <td>814903.0</td>\n",
       "      <td>581251.0</td>\n",
       "      <td>485637.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longmoor</th>\n",
       "      <td>826188.0</td>\n",
       "      <td>598186.0</td>\n",
       "      <td>434500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dynes</th>\n",
       "      <td>838450.0</td>\n",
       "      <td>530461.0</td>\n",
       "      <td>352073.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Headon Forest</th>\n",
       "      <td>864441.0</td>\n",
       "      <td>548478.0</td>\n",
       "      <td>390058.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tansley</th>\n",
       "      <td>896590.0</td>\n",
       "      <td>636032.0</td>\n",
       "      <td>394004.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elizabeth Gardens</th>\n",
       "      <td>904235.0</td>\n",
       "      <td>592210.0</td>\n",
       "      <td>567365.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Orchard</th>\n",
       "      <td>914307.0</td>\n",
       "      <td>677389.0</td>\n",
       "      <td>414950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central (Downtown Burlington)</th>\n",
       "      <td>988647.0</td>\n",
       "      <td>744875.0</td>\n",
       "      <td>733829.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alton Village</th>\n",
       "      <td>1004791.0</td>\n",
       "      <td>694934.0</td>\n",
       "      <td>396358.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aldershot</th>\n",
       "      <td>1028633.0</td>\n",
       "      <td>572894.0</td>\n",
       "      <td>436157.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tyandaga</th>\n",
       "      <td>1116873.0</td>\n",
       "      <td>535963.0</td>\n",
       "      <td>444167.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoreacres</th>\n",
       "      <td>1222041.0</td>\n",
       "      <td>586000.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Millcroft</th>\n",
       "      <td>1263668.0</td>\n",
       "      <td>723443.0</td>\n",
       "      <td>476000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rural Burlington</th>\n",
       "      <td>1319136.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roseland</th>\n",
       "      <td>1519006.0</td>\n",
       "      <td>612250.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corporate</th>\n",
       "      <td>NaN</td>\n",
       "      <td>617953.0</td>\n",
       "      <td>420929.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Average Detached House Price  \\\n",
       "Neighborhood                                                  \n",
       "Mountainside                                       661295.0   \n",
       "Plains                                             735543.0   \n",
       "Palmer                                             752409.0   \n",
       "Brant Hills                                        786025.0   \n",
       "Pinedale                                           814903.0   \n",
       "Longmoor                                           826188.0   \n",
       "Dynes                                              838450.0   \n",
       "Headon Forest                                      864441.0   \n",
       "Tansley                                            896590.0   \n",
       "Elizabeth Gardens                                  904235.0   \n",
       "The Orchard                                        914307.0   \n",
       "Central (Downtown Burlington)                      988647.0   \n",
       "Alton Village                                     1004791.0   \n",
       "Aldershot                                         1028633.0   \n",
       "Tyandaga                                          1116873.0   \n",
       "Shoreacres                                        1222041.0   \n",
       "Millcroft                                         1263668.0   \n",
       "Rural Burlington                                  1319136.0   \n",
       "Roseland                                          1519006.0   \n",
       "Corporate                                               NaN   \n",
       "\n",
       "                               Average Attached House Price  \\\n",
       "Neighborhood                                                  \n",
       "Mountainside                                       483861.0   \n",
       "Plains                                             597244.0   \n",
       "Palmer                                             523383.0   \n",
       "Brant Hills                                        551008.0   \n",
       "Pinedale                                           581251.0   \n",
       "Longmoor                                           598186.0   \n",
       "Dynes                                              530461.0   \n",
       "Headon Forest                                      548478.0   \n",
       "Tansley                                            636032.0   \n",
       "Elizabeth Gardens                                  592210.0   \n",
       "The Orchard                                        677389.0   \n",
       "Central (Downtown Burlington)                      744875.0   \n",
       "Alton Village                                      694934.0   \n",
       "Aldershot                                          572894.0   \n",
       "Tyandaga                                           535963.0   \n",
       "Shoreacres                                         586000.0   \n",
       "Millcroft                                          723443.0   \n",
       "Rural Burlington                                        NaN   \n",
       "Roseland                                           612250.0   \n",
       "Corporate                                          617953.0   \n",
       "\n",
       "                               Average Condo Apartment Price  \n",
       "Neighborhood                                                  \n",
       "Mountainside                                        428237.0  \n",
       "Plains                                              470178.0  \n",
       "Palmer                                              403439.0  \n",
       "Brant Hills                                         438629.0  \n",
       "Pinedale                                            485637.0  \n",
       "Longmoor                                            434500.0  \n",
       "Dynes                                               352073.0  \n",
       "Headon Forest                                       390058.0  \n",
       "Tansley                                             394004.0  \n",
       "Elizabeth Gardens                                   567365.0  \n",
       "The Orchard                                         414950.0  \n",
       "Central (Downtown Burlington)                       733829.0  \n",
       "Alton Village                                       396358.0  \n",
       "Aldershot                                           436157.0  \n",
       "Tyandaga                                            444167.0  \n",
       "Shoreacres                                               NaN  \n",
       "Millcroft                                           476000.0  \n",
       "Rural Burlington                                         NaN  \n",
       "Roseland                                                 NaN  \n",
       "Corporate                                           420929.0  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_House = HousePrice_sorted.set_index('Neighborhood')\n",
    "df_House"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average Detached House Price</th>\n",
       "      <th>Average Attached House Price</th>\n",
       "      <th>Average Condo Apartment Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Mountainside</th>\n",
       "      <td>661295.0</td>\n",
       "      <td>483861.0</td>\n",
       "      <td>428237.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plains</th>\n",
       "      <td>735543.0</td>\n",
       "      <td>597244.0</td>\n",
       "      <td>470178.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Palmer</th>\n",
       "      <td>752409.0</td>\n",
       "      <td>523383.0</td>\n",
       "      <td>403439.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brant Hills</th>\n",
       "      <td>786025.0</td>\n",
       "      <td>551008.0</td>\n",
       "      <td>438629.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pinedale</th>\n",
       "      <td>814903.0</td>\n",
       "      <td>581251.0</td>\n",
       "      <td>485637.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longmoor</th>\n",
       "      <td>826188.0</td>\n",
       "      <td>598186.0</td>\n",
       "      <td>434500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dynes</th>\n",
       "      <td>838450.0</td>\n",
       "      <td>530461.0</td>\n",
       "      <td>352073.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Headon Forest</th>\n",
       "      <td>864441.0</td>\n",
       "      <td>548478.0</td>\n",
       "      <td>390058.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tansley</th>\n",
       "      <td>896590.0</td>\n",
       "      <td>636032.0</td>\n",
       "      <td>394004.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elizabeth Gardens</th>\n",
       "      <td>904235.0</td>\n",
       "      <td>592210.0</td>\n",
       "      <td>567365.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Orchard</th>\n",
       "      <td>914307.0</td>\n",
       "      <td>677389.0</td>\n",
       "      <td>414950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central (Downtown Burlington)</th>\n",
       "      <td>988647.0</td>\n",
       "      <td>744875.0</td>\n",
       "      <td>733829.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alton Village</th>\n",
       "      <td>1004791.0</td>\n",
       "      <td>694934.0</td>\n",
       "      <td>396358.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aldershot</th>\n",
       "      <td>1028633.0</td>\n",
       "      <td>572894.0</td>\n",
       "      <td>436157.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tyandaga</th>\n",
       "      <td>1116873.0</td>\n",
       "      <td>535963.0</td>\n",
       "      <td>444167.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoreacres</th>\n",
       "      <td>1222041.0</td>\n",
       "      <td>586000.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Millcroft</th>\n",
       "      <td>1263668.0</td>\n",
       "      <td>723443.0</td>\n",
       "      <td>476000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rural Burlington</th>\n",
       "      <td>1319136.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roseland</th>\n",
       "      <td>1519006.0</td>\n",
       "      <td>612250.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corporate</th>\n",
       "      <td>904235.0</td>\n",
       "      <td>617953.0</td>\n",
       "      <td>420929.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Average Detached House Price  \\\n",
       "Neighborhood                                                  \n",
       "Mountainside                                       661295.0   \n",
       "Plains                                             735543.0   \n",
       "Palmer                                             752409.0   \n",
       "Brant Hills                                        786025.0   \n",
       "Pinedale                                           814903.0   \n",
       "Longmoor                                           826188.0   \n",
       "Dynes                                              838450.0   \n",
       "Headon Forest                                      864441.0   \n",
       "Tansley                                            896590.0   \n",
       "Elizabeth Gardens                                  904235.0   \n",
       "The Orchard                                        914307.0   \n",
       "Central (Downtown Burlington)                      988647.0   \n",
       "Alton Village                                     1004791.0   \n",
       "Aldershot                                         1028633.0   \n",
       "Tyandaga                                          1116873.0   \n",
       "Shoreacres                                        1222041.0   \n",
       "Millcroft                                         1263668.0   \n",
       "Rural Burlington                                  1319136.0   \n",
       "Roseland                                          1519006.0   \n",
       "Corporate                                          904235.0   \n",
       "\n",
       "                               Average Attached House Price  \\\n",
       "Neighborhood                                                  \n",
       "Mountainside                                       483861.0   \n",
       "Plains                                             597244.0   \n",
       "Palmer                                             523383.0   \n",
       "Brant Hills                                        551008.0   \n",
       "Pinedale                                           581251.0   \n",
       "Longmoor                                           598186.0   \n",
       "Dynes                                              530461.0   \n",
       "Headon Forest                                      548478.0   \n",
       "Tansley                                            636032.0   \n",
       "Elizabeth Gardens                                  592210.0   \n",
       "The Orchard                                        677389.0   \n",
       "Central (Downtown Burlington)                      744875.0   \n",
       "Alton Village                                      694934.0   \n",
       "Aldershot                                          572894.0   \n",
       "Tyandaga                                           535963.0   \n",
       "Shoreacres                                         586000.0   \n",
       "Millcroft                                          723443.0   \n",
       "Rural Burlington                                        NaN   \n",
       "Roseland                                           612250.0   \n",
       "Corporate                                          617953.0   \n",
       "\n",
       "                               Average Condo Apartment Price  \n",
       "Neighborhood                                                  \n",
       "Mountainside                                        428237.0  \n",
       "Plains                                              470178.0  \n",
       "Palmer                                              403439.0  \n",
       "Brant Hills                                         438629.0  \n",
       "Pinedale                                            485637.0  \n",
       "Longmoor                                            434500.0  \n",
       "Dynes                                               352073.0  \n",
       "Headon Forest                                       390058.0  \n",
       "Tansley                                             394004.0  \n",
       "Elizabeth Gardens                                   567365.0  \n",
       "The Orchard                                         414950.0  \n",
       "Central (Downtown Burlington)                       733829.0  \n",
       "Alton Village                                       396358.0  \n",
       "Aldershot                                           436157.0  \n",
       "Tyandaga                                            444167.0  \n",
       "Shoreacres                                               NaN  \n",
       "Millcroft                                           476000.0  \n",
       "Rural Burlington                                         NaN  \n",
       "Roseland                                                 NaN  \n",
       "Corporate                                           420929.0  "
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_House.at['Corporate', 'Average Detached House Price']=  904235\n",
    "df_House"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='item4'></a>\n",
    "## 4. Parks <a name=\"5\"></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The objective of this section is to search the parks, playgrounds and, sports fields of each neighborhood in Burlington, using the FourSquare API. This API can search the venues in a specific radius from a specific coordinates location. In order to cover more venues, some neighborhoods are split into subsets. However, the data for each neighborhood will be merged later. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Locations and API Credentials <a name=\"5.1\"></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Radius</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>43.312147</td>\n",
       "      <td>-79.859771</td>\n",
       "      <td>2000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alton Village_1</td>\n",
       "      <td>43.399696</td>\n",
       "      <td>-79.824503</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alton Village_2</td>\n",
       "      <td>43.406566</td>\n",
       "      <td>-79.818026</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alton Village_3</td>\n",
       "      <td>43.415448</td>\n",
       "      <td>-79.809557</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alton Village_4</td>\n",
       "      <td>43.420958</td>\n",
       "      <td>-79.802243</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>43.366230</td>\n",
       "      <td>-79.839933</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>43.352015</td>\n",
       "      <td>-79.786079</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Elizabeth Gardens_1</td>\n",
       "      <td>43.367845</td>\n",
       "      <td>-79.743761</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Elizabeth Gardens_2</td>\n",
       "      <td>43.372371</td>\n",
       "      <td>-79.735034</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>43.378287</td>\n",
       "      <td>-79.822473</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>43.366607</td>\n",
       "      <td>-79.770717</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>43.392882</td>\n",
       "      <td>-79.806383</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>43.352641</td>\n",
       "      <td>-79.820780</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>43.407001</td>\n",
       "      <td>-79.790942</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>43.365674</td>\n",
       "      <td>-79.804268</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>43.381542</td>\n",
       "      <td>-79.754556</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Roseland_1</td>\n",
       "      <td>43.339382</td>\n",
       "      <td>-79.775455</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Roseland_2</td>\n",
       "      <td>43.345901</td>\n",
       "      <td>-79.768408</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Shoreacres_1</td>\n",
       "      <td>43.359559</td>\n",
       "      <td>-79.752221</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Shoreacres_2</td>\n",
       "      <td>43.353379</td>\n",
       "      <td>-79.760986</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Tansley</td>\n",
       "      <td>43.379464</td>\n",
       "      <td>-79.788639</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>43.345682</td>\n",
       "      <td>-79.846388</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>43.394038</td>\n",
       "      <td>-79.773862</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Central</td>\n",
       "      <td>43.332110</td>\n",
       "      <td>-79.805382</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>43.414661</td>\n",
       "      <td>-79.864406</td>\n",
       "      <td>3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Plains_1</td>\n",
       "      <td>43.346536</td>\n",
       "      <td>-79.803588</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Plains_2</td>\n",
       "      <td>43.341230</td>\n",
       "      <td>-79.812686</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Plains_3</td>\n",
       "      <td>43.334762</td>\n",
       "      <td>-79.822225</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Neighborhood   Latitude  Longitude  Radius\n",
       "0             Aldershot  43.312147 -79.859771    2000\n",
       "1       Alton Village_1  43.399696 -79.824503     500\n",
       "2       Alton Village_2  43.406566 -79.818026     500\n",
       "3       Alton Village_3  43.415448 -79.809557     500\n",
       "4       Alton Village_4  43.420958 -79.802243     500\n",
       "5           Brant Hills  43.366230 -79.839933    1000\n",
       "6                 Dynes  43.352015 -79.786079    1000\n",
       "7   Elizabeth Gardens_1  43.367845 -79.743761     500\n",
       "8   Elizabeth Gardens_2  43.372371 -79.735034     500\n",
       "9         Headon Forest  43.378287 -79.822473    1000\n",
       "10             Longmoor  43.366607 -79.770717    1000\n",
       "11            Millcroft  43.392882 -79.806383    1000\n",
       "12         Mountainside  43.352641 -79.820780    1000\n",
       "13          The Orchard  43.407001 -79.790942    1000\n",
       "14               Palmer  43.365674 -79.804268    1000\n",
       "15             Pinedale  43.381542 -79.754556    1000\n",
       "16           Roseland_1  43.339382 -79.775455     500\n",
       "17           Roseland_2  43.345901 -79.768408     500\n",
       "18         Shoreacres_1  43.359559 -79.752221     500\n",
       "19         Shoreacres_2  43.353379 -79.760986     500\n",
       "20             Tansley   43.379464 -79.788639    1000\n",
       "21             Tyandaga  43.345682 -79.846388    1000\n",
       "22            Corporate  43.394038 -79.773862    1000\n",
       "23              Central  43.332110 -79.805382    1000\n",
       "24     Rural Burlington  43.414661 -79.864406    3000\n",
       "25             Plains_1  43.346536 -79.803588     500\n",
       "26             Plains_2  43.341230 -79.812686     500\n",
       "27             Plains_3  43.334762 -79.822225     500"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Neighborhood_Locations = pd.read_excel('Neighborhoods_Split.xlsx')\n",
    "Neighborhood_Locations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID = 'Enter Your CIENT_ID' # your Foursquare ID\n",
    "CLIENT_SECRET = 'Enter Your CLIENT_SECRET' # your Foursquare Secret\n",
    "VERSION = 'Enter the VERSION' # Foursquare API version\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Choice of data "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section 3 different data sets obtained from 3 different search radius are examined. The default search radius was set to 1000 meters, estimated from the map of Burlington. If the search radius is slightly increased, more areas are covered, meaning that more venues are found. However, mover overlaps would happen and more specific venues will be assigned to more than one neighbouhoods."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Setting 1 (R=1000 m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "LIMIT = 100\n",
    "query_list=['Park', 'Play']\n",
    "venues_list_1=[]\n",
    "\n",
    "for query in query_list:\n",
    "    for neighborhood, lat, lng, radius in zip(Neighborhood_Locations['Neighborhood'], Neighborhood_Locations['Latitude'], Neighborhood_Locations['Longitude'], Neighborhood_Locations['Radius']):\n",
    "        url = 'https://api.foursquare.com/v2/venues/search?client_id={}&client_secret={}&ll={},{}&v={}&query={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, lat, lng, VERSION, query, radius, LIMIT)\n",
    "        results = requests.get(url).json()['response']['venues']\n",
    "        for v in results:\n",
    "            try:\n",
    "                Venue_Category = v['categories'][0]['name']\n",
    "            except:\n",
    "                Venue_Category = np.isnan\n",
    "            venues_list_1.append([neighborhood, v['name'], v['location']['lat'], v['location']['lng'], Venue_Category])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "Venues_1 = pd.DataFrame(venues_list_1)\n",
    "Venues_1.columns = ['Neighborhood', 'Venue', 'Venue Latitude', 'Venue Longitude', 'Venue Category']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "import operator\n",
    "\n",
    "for Neighborhood in Venues_1['Neighborhood']:\n",
    "    if operator.contains(Neighborhood, '_'):\n",
    "        Neighborhood_new = Neighborhood.split('_')[0]\n",
    "        Venues_1.replace(Neighborhood, Neighborhood_new, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are interested in some specific venues only. We need to exclude the rest."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "97"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Filter_List=['Park', 'Playground', 'Soccer Field', 'Baseball Field', np.isnan] \n",
    "Venues_Park_1 = Venues_1.loc[Venues_1['Venue Category'].isin(Filter_List)]\n",
    "Total_1 = Venues_Park_1.shape[0]\n",
    "Total_1 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "12"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Duplicates_1= Venues_Park_1[Venues_Park_1.duplicated(['Venue','Venue Latitude', 'Venue Longitude'], keep=False)].shape[0]\n",
    "Duplicates_1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Setting 2 (R=1100 m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "LIMIT = 100\n",
    "query_list=['Park', 'Play']\n",
    "venues_list_2=[]\n",
    "\n",
    "for query in query_list:\n",
    "    for neighborhood, lat, lng, radius in zip(Neighborhood_Locations['Neighborhood'], Neighborhood_Locations['Latitude'], Neighborhood_Locations['Longitude'], (Neighborhood_Locations['Radius']*1.1)):\n",
    "        url = 'https://api.foursquare.com/v2/venues/search?client_id={}&client_secret={}&ll={},{}&v={}&query={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, lat, lng, VERSION, query, radius, LIMIT)\n",
    "        results = requests.get(url).json()['response']['venues']\n",
    "        for v in results:\n",
    "            try:\n",
    "                Venue_Category = v['categories'][0]['name']\n",
    "            except:\n",
    "                Venue_Category = np.isnan\n",
    "            venues_list_2.append([neighborhood, v['name'], v['location']['lat'], v['location']['lng'], Venue_Category])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "Filter_List=['Park', 'Playground', 'Soccer Field', 'Baseball Field', np.isnan] \n",
    "Venues_2 = pd.DataFrame(venues_list_2)\n",
    "Venues_2.columns = ['Neighborhood', 'Venue', 'Venue Latitude', 'Venue Longitude', 'Venue Category']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "import operator \n",
    "\n",
    "for Neighborhood in Venues_2['Neighborhood']:\n",
    "    if operator.contains(Neighborhood, '_'):\n",
    "        Neighborhood_new = Neighborhood.split('_')[0]\n",
    "        Venues_2.replace(Neighborhood, Neighborhood_new, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [],
   "source": [
    "Venues_Park_2 = Venues_2.loc[Venues_2['Venue Category'].isin(Filter_List)]\n",
    "Total_2 = Venues_Park_2.shape[0]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "Duplicates_2= Venues_Park_2[Venues_Park_2.duplicated(['Venue','Venue Latitude', 'Venue Longitude'], keep=False)].shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Setting 3 (R=1200m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "LIMIT = 100\n",
    "query_list=['Park', 'Play']\n",
    "venues_list_3=[]\n",
    "\n",
    "for query in query_list:\n",
    "    for neighborhood, lat, lng, radius in zip(Neighborhood_Locations['Neighborhood'], Neighborhood_Locations['Latitude'], Neighborhood_Locations['Longitude'], (Neighborhood_Locations['Radius']*1.2)):\n",
    "        url = 'https://api.foursquare.com/v2/venues/search?client_id={}&client_secret={}&ll={},{}&v={}&query={}&radius={}&limit={}'.format(CLIENT_ID, CLIENT_SECRET, lat, lng, VERSION, query, radius, LIMIT)\n",
    "        results = requests.get(url).json()['response']['venues']\n",
    "        for v in results:\n",
    "            try:\n",
    "                Venue_Category = v['categories'][0]['name']\n",
    "            except:\n",
    "                Venue_Category = np.isnan\n",
    "            venues_list_3.append([neighborhood, v['name'], v['location']['lat'], v['location']['lng'], Venue_Category])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "Venues_3 = pd.DataFrame(venues_list_3)\n",
    "Venues_3.columns = ['Neighborhood', 'Venue', 'Venue Latitude', 'Venue Longitude', 'Venue Category']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "for Neighborhood in Venues_3['Neighborhood']:\n",
    "    if operator.contains(Neighborhood, '_'):\n",
    "        Neighborhood_new = Neighborhood.split('_')[0]\n",
    "        Venues_3.replace(Neighborhood, Neighborhood_new, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "Venues_Park_3= Venues_3.loc[Venues_3['Venue Category'].isin(Filter_List)]\n",
    "Total_3 = Venues_Park_3.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "Duplicates_3= Venues_Park_3[Venues_Park_3.duplicated(['Venue','Venue Latitude', 'Venue Longitude'], keep=False)].shape[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Choice of setting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Radius ( XR)</th>\n",
       "      <th>Number of Venues</th>\n",
       "      <th>Number of Duplicates</th>\n",
       "      <th>Number of Unique Venues</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Setting_1</th>\n",
       "      <td>1.0</td>\n",
       "      <td>97</td>\n",
       "      <td>12</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Setting_2</th>\n",
       "      <td>1.1</td>\n",
       "      <td>118</td>\n",
       "      <td>33</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Setting_3</th>\n",
       "      <td>1.2</td>\n",
       "      <td>131</td>\n",
       "      <td>50</td>\n",
       "      <td>106</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Radius ( XR)  Number of Venues  Number of Duplicates  \\\n",
       "Setting_1           1.0                97                    12   \n",
       "Setting_2           1.1               118                    33   \n",
       "Setting_3           1.2               131                    50   \n",
       "\n",
       "           Number of Unique Venues  \n",
       "Setting_1                       91  \n",
       "Setting_2                      102  \n",
       "Setting_3                      106  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Settings_df = pd.DataFrame({\n",
    "              'Radius ( XR)': [1, 1.1, 1.2],\n",
    "              'Number of Venues': [Total_1, Total_2, Total_3],\n",
    "              'Number of Duplicates': [Duplicates_1, Duplicates_2, Duplicates_3],\n",
    "              'Number of Unique Venues': [Total_1-round(Duplicates_1/2), Total_2-round(Duplicates_2/2), Total_3-round(Duplicates_3/2)],\n",
    "               }, index=['Setting_1', 'Setting_2', 'Setting_3'])\n",
    "\n",
    "Settings_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Setting 2 finds 11 more unique venues compared to setting 1. Setting 3 finds only 4 more venues, but there are many more duplicates to handle! I choose Setting 2. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Handling the Duplicates "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</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>13</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Palladium park</td>\n",
       "      <td>43.399917</td>\n",
       "      <td>-79.829157</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Norton Community Park</td>\n",
       "      <td>43.398966</td>\n",
       "      <td>-79.817798</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Berton Park</td>\n",
       "      <td>43.395363</td>\n",
       "      <td>-79.819317</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Doug Wright Park</td>\n",
       "      <td>43.405763</td>\n",
       "      <td>-79.821451</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Zimmerman Park</td>\n",
       "      <td>43.405760</td>\n",
       "      <td>-79.821441</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Champlain Park</td>\n",
       "      <td>43.366221</td>\n",
       "      <td>-79.826701</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Cavendish Park</td>\n",
       "      <td>43.356922</td>\n",
       "      <td>-79.839114</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Fairchild park</td>\n",
       "      <td>43.355990</td>\n",
       "      <td>-79.843180</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Elizabeth Gardens</td>\n",
       "      <td>Mohawk Park</td>\n",
       "      <td>43.369849</td>\n",
       "      <td>-79.738320</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Elizabeth Gardens</td>\n",
       "      <td>Mohawk Park</td>\n",
       "      <td>43.369849</td>\n",
       "      <td>-79.738320</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>Champlain Park</td>\n",
       "      <td>43.366221</td>\n",
       "      <td>-79.826701</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Norton Community Park</td>\n",
       "      <td>43.398966</td>\n",
       "      <td>-79.817798</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Millcroft Park--Soccer Field</td>\n",
       "      <td>43.398766</td>\n",
       "      <td>-79.800313</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Millcroft Baseball Park</td>\n",
       "      <td>43.398715</td>\n",
       "      <td>-79.800305</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Berton Park</td>\n",
       "      <td>43.395363</td>\n",
       "      <td>-79.819317</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Dryden Parkette</td>\n",
       "      <td>43.398243</td>\n",
       "      <td>-79.793930</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Millcroft Park--Soccer Field</td>\n",
       "      <td>43.398766</td>\n",
       "      <td>-79.800313</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Millcroft Baseball Park</td>\n",
       "      <td>43.398715</td>\n",
       "      <td>-79.800305</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Dryden Parkette</td>\n",
       "      <td>43.398243</td>\n",
       "      <td>-79.793930</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Random Parking Lot With 3G Reception Unattaina...</td>\n",
       "      <td>43.393448</td>\n",
       "      <td>-79.762177</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>Fairchild park</td>\n",
       "      <td>43.355990</td>\n",
       "      <td>-79.843180</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>Cavendish Park</td>\n",
       "      <td>43.356922</td>\n",
       "      <td>-79.839114</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>Random Parking Lot With 3G Reception Unattaina...</td>\n",
       "      <td>43.393448</td>\n",
       "      <td>-79.762177</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>Central</td>\n",
       "      <td>Tom Tompson Park</td>\n",
       "      <td>43.339300</td>\n",
       "      <td>-79.804715</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Central</td>\n",
       "      <td>Central Park Playground</td>\n",
       "      <td>43.336100</td>\n",
       "      <td>-79.792262</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Central</td>\n",
       "      <td>George Bolus Park</td>\n",
       "      <td>43.330579</td>\n",
       "      <td>-79.822663</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>Palladium park</td>\n",
       "      <td>43.399917</td>\n",
       "      <td>-79.829157</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>Doug Wright Park</td>\n",
       "      <td>43.405763</td>\n",
       "      <td>-79.821451</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>Berton Park</td>\n",
       "      <td>43.395363</td>\n",
       "      <td>-79.819317</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>Zimmerman Park</td>\n",
       "      <td>43.405760</td>\n",
       "      <td>-79.821441</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>Plains</td>\n",
       "      <td>Tom Tompson Park</td>\n",
       "      <td>43.339300</td>\n",
       "      <td>-79.804715</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>Plains</td>\n",
       "      <td>George Bolus Park</td>\n",
       "      <td>43.330579</td>\n",
       "      <td>-79.822663</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>Central</td>\n",
       "      <td>Central Park Playground</td>\n",
       "      <td>43.336100</td>\n",
       "      <td>-79.792262</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          Neighborhood                                              Venue  \\\n",
       "13       Alton Village                                     Palladium park   \n",
       "14       Alton Village                              Norton Community Park   \n",
       "15       Alton Village                                        Berton Park   \n",
       "17       Alton Village                                   Doug Wright Park   \n",
       "18       Alton Village                                     Zimmerman Park   \n",
       "25         Brant Hills                                     Champlain Park   \n",
       "26         Brant Hills                                     Cavendish Park   \n",
       "27         Brant Hills                                     Fairchild park   \n",
       "37   Elizabeth Gardens                                        Mohawk Park   \n",
       "38   Elizabeth Gardens                                        Mohawk Park   \n",
       "45       Headon Forest                                     Champlain Park   \n",
       "52           Millcroft                              Norton Community Park   \n",
       "55           Millcroft                       Millcroft Park--Soccer Field   \n",
       "56           Millcroft                            Millcroft Baseball Park   \n",
       "57           Millcroft                                        Berton Park   \n",
       "60           Millcroft                                    Dryden Parkette   \n",
       "85         The Orchard                       Millcroft Park--Soccer Field   \n",
       "86         The Orchard                            Millcroft Baseball Park   \n",
       "87         The Orchard                                    Dryden Parkette   \n",
       "101           Pinedale  Random Parking Lot With 3G Reception Unattaina...   \n",
       "121           Tyandaga                                     Fairchild park   \n",
       "122           Tyandaga                                     Cavendish Park   \n",
       "128          Corporate  Random Parking Lot With 3G Reception Unattaina...   \n",
       "140            Central                                   Tom Tompson Park   \n",
       "146            Central                            Central Park Playground   \n",
       "148            Central                                  George Bolus Park   \n",
       "157   Rural Burlington                                     Palladium park   \n",
       "158   Rural Burlington                                   Doug Wright Park   \n",
       "159   Rural Burlington                                        Berton Park   \n",
       "160   Rural Burlington                                     Zimmerman Park   \n",
       "166             Plains                                   Tom Tompson Park   \n",
       "170             Plains                                  George Bolus Park   \n",
       "179            Central                            Central Park Playground   \n",
       "\n",
       "     Venue Latitude  Venue Longitude  Venue Category  \n",
       "13        43.399917       -79.829157            Park  \n",
       "14        43.398966       -79.817798            Park  \n",
       "15        43.395363       -79.819317            Park  \n",
       "17        43.405763       -79.821451      Playground  \n",
       "18        43.405760       -79.821441            Park  \n",
       "25        43.366221       -79.826701      Playground  \n",
       "26        43.356922       -79.839114  Baseball Field  \n",
       "27        43.355990       -79.843180            Park  \n",
       "37        43.369849       -79.738320      Playground  \n",
       "38        43.369849       -79.738320      Playground  \n",
       "45        43.366221       -79.826701      Playground  \n",
       "52        43.398966       -79.817798            Park  \n",
       "55        43.398766       -79.800313    Soccer Field  \n",
       "56        43.398715       -79.800305  Baseball Field  \n",
       "57        43.395363       -79.819317            Park  \n",
       "60        43.398243       -79.793930            Park  \n",
       "85        43.398766       -79.800313    Soccer Field  \n",
       "86        43.398715       -79.800305  Baseball Field  \n",
       "87        43.398243       -79.793930            Park  \n",
       "101       43.393448       -79.762177            Park  \n",
       "121       43.355990       -79.843180            Park  \n",
       "122       43.356922       -79.839114  Baseball Field  \n",
       "128       43.393448       -79.762177            Park  \n",
       "140       43.339300       -79.804715  Baseball Field  \n",
       "146       43.336100       -79.792262      Playground  \n",
       "148       43.330579       -79.822663            Park  \n",
       "157       43.399917       -79.829157            Park  \n",
       "158       43.405763       -79.821451      Playground  \n",
       "159       43.395363       -79.819317            Park  \n",
       "160       43.405760       -79.821441            Park  \n",
       "166       43.339300       -79.804715  Baseball Field  \n",
       "170       43.330579       -79.822663            Park  \n",
       "179       43.336100       -79.792262      Playground  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Venues_Park_2[Venues_Park_2.duplicated(['Venue','Venue Latitude', 'Venue Longitude'], keep=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "#to be droppped\n",
    "\n",
    "ToBeDropped_Dict={'Alton Village': 'Berton Park', 'Millcroft': 'Norton Community Park', 'Rural Burlington': 'Berton Park', 'Rural Burlington': 'Palladium park', 'Rural Burlington': 'Doug Wright Park', 'Headon Forest': 'Champlain Park', 'Tyandaga': 'Cavendish Park', 'Brant Hills': 'Fairchild park', 'Elizabeth Gardens': 'Mohawk Park', 'Millcroft': 'Dryden Parkette', 'Central': 'Tom Tompson Park', 'Plains': 'Tom Tompson Park', 'Central': 'George Bolus Park', 'Plains': 'George Bolus Park'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "Parks = Venues_Park_2.drop(index=[15,18,27,37,45,52,56,60,85,86,101,122,128,140,146,148,157,158,159,166,170])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Neighborhood, Venue, Venue Latitude, Venue Longitude, Venue Category]\n",
       "Index: []"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Parks[Parks.duplicated(['Venue','Venue Latitude', 'Venue Longitude'], keep=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "Parks.loc[Parks['Venue']=='Cavendish Park'] = Parks.loc[Parks['Venue']=='Cavendish Park'].replace('Brant Hills', 'Mountainside')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "Parks.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>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>Aldershot</td>\n",
       "      <td>LaSalle Park</td>\n",
       "      <td>43.300853</td>\n",
       "      <td>-79.845929</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Hidden Valley Park</td>\n",
       "      <td>43.303402</td>\n",
       "      <td>-79.862750</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Aldershot Park</td>\n",
       "      <td>43.314603</td>\n",
       "      <td>-79.845890</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Holy Rosary Ball Diamond &amp; Park</td>\n",
       "      <td>43.313680</td>\n",
       "      <td>-79.844771</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Bayshore Park</td>\n",
       "      <td>43.306530</td>\n",
       "      <td>-79.837440</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>BCA Park</td>\n",
       "      <td>43.327104</td>\n",
       "      <td>-79.846128</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Kiwanis Park</td>\n",
       "      <td>43.316240</td>\n",
       "      <td>-79.833189</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Fairfield Parkette</td>\n",
       "      <td>43.295710</td>\n",
       "      <td>-79.863594</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Palladium park</td>\n",
       "      <td>43.399917</td>\n",
       "      <td>-79.829157</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Norton Community Park</td>\n",
       "      <td>43.398966</td>\n",
       "      <td>-79.817798</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Doug Wright Park</td>\n",
       "      <td>43.405763</td>\n",
       "      <td>-79.821451</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Duncaster Park</td>\n",
       "      <td>43.361085</td>\n",
       "      <td>-79.842453</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Brant Hills Park</td>\n",
       "      <td>43.363532</td>\n",
       "      <td>-79.846521</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Sinclair Park</td>\n",
       "      <td>43.362831</td>\n",
       "      <td>-79.838871</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Kinsmen Park</td>\n",
       "      <td>43.370764</td>\n",
       "      <td>-79.834503</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Champlain Park</td>\n",
       "      <td>43.366221</td>\n",
       "      <td>-79.826701</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Cavendish Park</td>\n",
       "      <td>43.356922</td>\n",
       "      <td>-79.839114</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>Ryerson Park</td>\n",
       "      <td>43.351587</td>\n",
       "      <td>-79.776234</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>Techumseh Park</td>\n",
       "      <td>43.347110</td>\n",
       "      <td>-79.788660</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>Cumberland Park</td>\n",
       "      <td>43.347500</td>\n",
       "      <td>-79.781976</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Elizabeth Gardens</td>\n",
       "      <td>Mohawk Park</td>\n",
       "      <td>43.369849</td>\n",
       "      <td>-79.738320</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Elizabeth Gardens</td>\n",
       "      <td>Elisabeth Gardens Parkette</td>\n",
       "      <td>43.371749</td>\n",
       "      <td>-79.734869</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>Ireland Park</td>\n",
       "      <td>43.376578</td>\n",
       "      <td>-79.827412</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>Pinemeadow Park</td>\n",
       "      <td>43.371203</td>\n",
       "      <td>-79.823166</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>Newport park</td>\n",
       "      <td>43.386790</td>\n",
       "      <td>-79.819167</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>mackys park</td>\n",
       "      <td>43.389236</td>\n",
       "      <td>-79.826477</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>Nelson Park</td>\n",
       "      <td>43.361039</td>\n",
       "      <td>-79.765720</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>Iroquois Park</td>\n",
       "      <td>43.358195</td>\n",
       "      <td>-79.772440</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>Longmoor Park</td>\n",
       "      <td>43.367628</td>\n",
       "      <td>-79.758412</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Millcroft Park</td>\n",
       "      <td>43.395534</td>\n",
       "      <td>-79.799722</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Berwick Green Park</td>\n",
       "      <td>43.385732</td>\n",
       "      <td>-79.807992</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Taywood Park</td>\n",
       "      <td>43.398725</td>\n",
       "      <td>-79.809010</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Millcroft Park--Soccer Field</td>\n",
       "      <td>43.398766</td>\n",
       "      <td>-79.800313</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Berton Park</td>\n",
       "      <td>43.395363</td>\n",
       "      <td>-79.819317</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Clarksdale Park</td>\n",
       "      <td>43.354971</td>\n",
       "      <td>-79.814165</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Roly Bird Dog Park</td>\n",
       "      <td>43.345854</td>\n",
       "      <td>-79.818816</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Peart Park</td>\n",
       "      <td>43.355675</td>\n",
       "      <td>-79.817749</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Mountainside Park</td>\n",
       "      <td>43.353221</td>\n",
       "      <td>-79.821152</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Mount Forest Park</td>\n",
       "      <td>43.354747</td>\n",
       "      <td>-79.818871</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Roly Bird Park</td>\n",
       "      <td>43.347030</td>\n",
       "      <td>-79.817798</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Carlisle Memorial Park</td>\n",
       "      <td>43.345100</td>\n",
       "      <td>-79.825000</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Amherst Park</td>\n",
       "      <td>43.352919</td>\n",
       "      <td>-79.832544</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Parkway drive, burlington</td>\n",
       "      <td>43.359240</td>\n",
       "      <td>-79.820860</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Mountain Gardens Parkette</td>\n",
       "      <td>43.348340</td>\n",
       "      <td>-79.826225</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Emerson park</td>\n",
       "      <td>43.408501</td>\n",
       "      <td>-79.793608</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Nadines Ravine Park Bridge</td>\n",
       "      <td>43.404571</td>\n",
       "      <td>-79.787154</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Pathfinder Park</td>\n",
       "      <td>43.404249</td>\n",
       "      <td>-79.798299</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Orchard Park School</td>\n",
       "      <td>43.403194</td>\n",
       "      <td>-79.787262</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Brada woods park</td>\n",
       "      <td>43.401706</td>\n",
       "      <td>-79.791561</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Orchard Park Turf</td>\n",
       "      <td>43.407228</td>\n",
       "      <td>-79.782934</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Orchard Community Park</td>\n",
       "      <td>43.409578</td>\n",
       "      <td>-79.781108</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Dryden Parkette</td>\n",
       "      <td>43.398243</td>\n",
       "      <td>-79.793930</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Palmer Park</td>\n",
       "      <td>43.367752</td>\n",
       "      <td>-79.810215</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Brittany Park</td>\n",
       "      <td>43.367753</td>\n",
       "      <td>-79.810220</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Sycamore Park</td>\n",
       "      <td>43.367766</td>\n",
       "      <td>-79.810162</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Pearson Park</td>\n",
       "      <td>43.367761</td>\n",
       "      <td>-79.810234</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>E.A. Washburn Memorial Park Resevoir</td>\n",
       "      <td>43.366770</td>\n",
       "      <td>-79.809830</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Lansdown Park</td>\n",
       "      <td>43.372384</td>\n",
       "      <td>-79.802458</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Cleaver Park</td>\n",
       "      <td>43.367749</td>\n",
       "      <td>-79.810176</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Sherwood Forest Park</td>\n",
       "      <td>43.382611</td>\n",
       "      <td>-79.755538</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Sherwood Soccer Park</td>\n",
       "      <td>43.382749</td>\n",
       "      <td>-79.754848</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Sheldon Park</td>\n",
       "      <td>43.380506</td>\n",
       "      <td>-79.747975</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Sheraton Park</td>\n",
       "      <td>43.373213</td>\n",
       "      <td>-79.756298</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Fothergill Woods Park</td>\n",
       "      <td>43.380989</td>\n",
       "      <td>-79.740620</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>Sioux Lookout Park</td>\n",
       "      <td>43.337875</td>\n",
       "      <td>-79.770060</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>Port Nelson Park</td>\n",
       "      <td>43.333154</td>\n",
       "      <td>-79.777663</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>Tuck Park</td>\n",
       "      <td>43.345364</td>\n",
       "      <td>-79.769125</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>Iroquois park</td>\n",
       "      <td>43.361062</td>\n",
       "      <td>-79.746940</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>Pineland Park</td>\n",
       "      <td>43.361084</td>\n",
       "      <td>-79.746836</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>Glen Afton Park</td>\n",
       "      <td>43.353745</td>\n",
       "      <td>-79.757963</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>Strathcona Park</td>\n",
       "      <td>43.355185</td>\n",
       "      <td>-79.764616</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Tansley</td>\n",
       "      <td>Tansley Wood Park</td>\n",
       "      <td>43.379102</td>\n",
       "      <td>-79.798124</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>Kerns Park</td>\n",
       "      <td>43.344213</td>\n",
       "      <td>-79.841560</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>Kerncliff Park</td>\n",
       "      <td>43.349003</td>\n",
       "      <td>-79.859381</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>Westbury Park</td>\n",
       "      <td>43.347309</td>\n",
       "      <td>-79.836498</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>Fairchild park</td>\n",
       "      <td>43.355990</td>\n",
       "      <td>-79.843180</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>Lampman Park</td>\n",
       "      <td>43.391743</td>\n",
       "      <td>-79.778675</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>Lampman Park</td>\n",
       "      <td>43.394332</td>\n",
       "      <td>-79.782663</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>Des Jardines Park</td>\n",
       "      <td>43.394455</td>\n",
       "      <td>-79.782692</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Central</td>\n",
       "      <td>Maple Park</td>\n",
       "      <td>43.323156</td>\n",
       "      <td>-79.814816</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Central</td>\n",
       "      <td>Central Park</td>\n",
       "      <td>43.336533</td>\n",
       "      <td>-79.791923</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Central</td>\n",
       "      <td>St. John's Park</td>\n",
       "      <td>43.331427</td>\n",
       "      <td>-79.804276</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Central</td>\n",
       "      <td>Lions Park</td>\n",
       "      <td>43.331379</td>\n",
       "      <td>-79.803219</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Central</td>\n",
       "      <td>Spencer Smith Park</td>\n",
       "      <td>43.321235</td>\n",
       "      <td>-79.799098</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Central</td>\n",
       "      <td>Wellington Park</td>\n",
       "      <td>43.327964</td>\n",
       "      <td>-79.807472</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Central</td>\n",
       "      <td>Optimist Park</td>\n",
       "      <td>43.337508</td>\n",
       "      <td>-79.806361</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Central</td>\n",
       "      <td>Spencer's Splash Pad &amp; Park</td>\n",
       "      <td>43.320854</td>\n",
       "      <td>-79.799323</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Central</td>\n",
       "      <td>Thorpe Park</td>\n",
       "      <td>43.328295</td>\n",
       "      <td>-79.814964</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Central</td>\n",
       "      <td>Apeldoorn park</td>\n",
       "      <td>43.323320</td>\n",
       "      <td>-79.800860</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Central</td>\n",
       "      <td>Brock Park</td>\n",
       "      <td>43.322411</td>\n",
       "      <td>-79.803383</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Central</td>\n",
       "      <td>Central Park Soccer Field Burlington</td>\n",
       "      <td>43.336698</td>\n",
       "      <td>-79.791140</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>Zimmerman Park</td>\n",
       "      <td>43.405760</td>\n",
       "      <td>-79.821441</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Plains</td>\n",
       "      <td>North Park</td>\n",
       "      <td>43.334582</td>\n",
       "      <td>-79.821964</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Plains</td>\n",
       "      <td>Leighland Park</td>\n",
       "      <td>43.332783</td>\n",
       "      <td>-79.825240</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>Amazing Adventures Playland</td>\n",
       "      <td>43.370936</td>\n",
       "      <td>-79.775211</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Mountain Side Playground</td>\n",
       "      <td>43.354593</td>\n",
       "      <td>-79.807581</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Central</td>\n",
       "      <td>Central Park Playground</td>\n",
       "      <td>43.336100</td>\n",
       "      <td>-79.792262</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Neighborhood                                 Venue  Venue Latitude  \\\n",
       "0           Aldershot                          LaSalle Park       43.300853   \n",
       "1           Aldershot                    Hidden Valley Park       43.303402   \n",
       "2           Aldershot                        Aldershot Park       43.314603   \n",
       "3           Aldershot       Holy Rosary Ball Diamond & Park       43.313680   \n",
       "4           Aldershot                         Bayshore Park       43.306530   \n",
       "5           Aldershot                              BCA Park       43.327104   \n",
       "6           Aldershot                          Kiwanis Park       43.316240   \n",
       "7           Aldershot                    Fairfield Parkette       43.295710   \n",
       "8       Alton Village                        Palladium park       43.399917   \n",
       "9       Alton Village                 Norton Community Park       43.398966   \n",
       "10      Alton Village                      Doug Wright Park       43.405763   \n",
       "11        Brant Hills                        Duncaster Park       43.361085   \n",
       "12        Brant Hills                      Brant Hills Park       43.363532   \n",
       "13        Brant Hills                         Sinclair Park       43.362831   \n",
       "14        Brant Hills                          Kinsmen Park       43.370764   \n",
       "15        Brant Hills                        Champlain Park       43.366221   \n",
       "16       Mountainside                        Cavendish Park       43.356922   \n",
       "17              Dynes                          Ryerson Park       43.351587   \n",
       "18              Dynes                        Techumseh Park       43.347110   \n",
       "19              Dynes                       Cumberland Park       43.347500   \n",
       "20  Elizabeth Gardens                           Mohawk Park       43.369849   \n",
       "21  Elizabeth Gardens            Elisabeth Gardens Parkette       43.371749   \n",
       "22      Headon Forest                          Ireland Park       43.376578   \n",
       "23      Headon Forest                       Pinemeadow Park       43.371203   \n",
       "24      Headon Forest                          Newport park       43.386790   \n",
       "25      Headon Forest                           mackys park       43.389236   \n",
       "26           Longmoor                           Nelson Park       43.361039   \n",
       "27           Longmoor                         Iroquois Park       43.358195   \n",
       "28           Longmoor                         Longmoor Park       43.367628   \n",
       "29          Millcroft                        Millcroft Park       43.395534   \n",
       "30          Millcroft                    Berwick Green Park       43.385732   \n",
       "31          Millcroft                          Taywood Park       43.398725   \n",
       "32          Millcroft          Millcroft Park--Soccer Field       43.398766   \n",
       "33          Millcroft                           Berton Park       43.395363   \n",
       "34       Mountainside                       Clarksdale Park       43.354971   \n",
       "35       Mountainside                    Roly Bird Dog Park       43.345854   \n",
       "36       Mountainside                            Peart Park       43.355675   \n",
       "37       Mountainside                     Mountainside Park       43.353221   \n",
       "38       Mountainside                     Mount Forest Park       43.354747   \n",
       "39       Mountainside                        Roly Bird Park       43.347030   \n",
       "40       Mountainside                Carlisle Memorial Park       43.345100   \n",
       "41       Mountainside                          Amherst Park       43.352919   \n",
       "42       Mountainside             Parkway drive, burlington       43.359240   \n",
       "43       Mountainside             Mountain Gardens Parkette       43.348340   \n",
       "44        The Orchard                          Emerson park       43.408501   \n",
       "45        The Orchard            Nadines Ravine Park Bridge       43.404571   \n",
       "46        The Orchard                       Pathfinder Park       43.404249   \n",
       "47        The Orchard                   Orchard Park School       43.403194   \n",
       "48        The Orchard                      Brada woods park       43.401706   \n",
       "49        The Orchard                     Orchard Park Turf       43.407228   \n",
       "50        The Orchard                Orchard Community Park       43.409578   \n",
       "51        The Orchard                       Dryden Parkette       43.398243   \n",
       "52             Palmer                           Palmer Park       43.367752   \n",
       "53             Palmer                         Brittany Park       43.367753   \n",
       "54             Palmer                         Sycamore Park       43.367766   \n",
       "55             Palmer                          Pearson Park       43.367761   \n",
       "56             Palmer  E.A. Washburn Memorial Park Resevoir       43.366770   \n",
       "57             Palmer                         Lansdown Park       43.372384   \n",
       "58             Palmer                          Cleaver Park       43.367749   \n",
       "59           Pinedale                  Sherwood Forest Park       43.382611   \n",
       "60           Pinedale                  Sherwood Soccer Park       43.382749   \n",
       "61           Pinedale                          Sheldon Park       43.380506   \n",
       "62           Pinedale                         Sheraton Park       43.373213   \n",
       "63           Pinedale                 Fothergill Woods Park       43.380989   \n",
       "64           Roseland                    Sioux Lookout Park       43.337875   \n",
       "65           Roseland                      Port Nelson Park       43.333154   \n",
       "66           Roseland                             Tuck Park       43.345364   \n",
       "67         Shoreacres                         Iroquois park       43.361062   \n",
       "68         Shoreacres                         Pineland Park       43.361084   \n",
       "69         Shoreacres                       Glen Afton Park       43.353745   \n",
       "70         Shoreacres                       Strathcona Park       43.355185   \n",
       "71           Tansley                      Tansley Wood Park       43.379102   \n",
       "72           Tyandaga                            Kerns Park       43.344213   \n",
       "73           Tyandaga                        Kerncliff Park       43.349003   \n",
       "74           Tyandaga                         Westbury Park       43.347309   \n",
       "75           Tyandaga                        Fairchild park       43.355990   \n",
       "76          Corporate                          Lampman Park       43.391743   \n",
       "77          Corporate                          Lampman Park       43.394332   \n",
       "78          Corporate                     Des Jardines Park       43.394455   \n",
       "79            Central                            Maple Park       43.323156   \n",
       "80            Central                          Central Park       43.336533   \n",
       "81            Central                       St. John's Park       43.331427   \n",
       "82            Central                            Lions Park       43.331379   \n",
       "83            Central                    Spencer Smith Park       43.321235   \n",
       "84            Central                       Wellington Park       43.327964   \n",
       "85            Central                         Optimist Park       43.337508   \n",
       "86            Central           Spencer's Splash Pad & Park       43.320854   \n",
       "87            Central                           Thorpe Park       43.328295   \n",
       "88            Central                        Apeldoorn park       43.323320   \n",
       "89            Central                            Brock Park       43.322411   \n",
       "90            Central  Central Park Soccer Field Burlington       43.336698   \n",
       "91   Rural Burlington                        Zimmerman Park       43.405760   \n",
       "92             Plains                            North Park       43.334582   \n",
       "93             Plains                        Leighland Park       43.332783   \n",
       "94           Longmoor           Amazing Adventures Playland       43.370936   \n",
       "95       Mountainside              Mountain Side Playground       43.354593   \n",
       "96            Central               Central Park Playground       43.336100   \n",
       "\n",
       "    Venue Longitude   Venue Category  \n",
       "0        -79.845929             Park  \n",
       "1        -79.862750       Playground  \n",
       "2        -79.845890  <ufunc 'isnan'>  \n",
       "3        -79.844771   Baseball Field  \n",
       "4        -79.837440  <ufunc 'isnan'>  \n",
       "5        -79.846128       Playground  \n",
       "6        -79.833189             Park  \n",
       "7        -79.863594       Playground  \n",
       "8        -79.829157             Park  \n",
       "9        -79.817798             Park  \n",
       "10       -79.821451       Playground  \n",
       "11       -79.842453             Park  \n",
       "12       -79.846521   Baseball Field  \n",
       "13       -79.838871             Park  \n",
       "14       -79.834503             Park  \n",
       "15       -79.826701       Playground  \n",
       "16       -79.839114   Baseball Field  \n",
       "17       -79.776234   Baseball Field  \n",
       "18       -79.788660     Soccer Field  \n",
       "19       -79.781976     Soccer Field  \n",
       "20       -79.738320       Playground  \n",
       "21       -79.734869             Park  \n",
       "22       -79.827412             Park  \n",
       "23       -79.823166  <ufunc 'isnan'>  \n",
       "24       -79.819167             Park  \n",
       "25       -79.826477       Playground  \n",
       "26       -79.765720   Baseball Field  \n",
       "27       -79.772440             Park  \n",
       "28       -79.758412  <ufunc 'isnan'>  \n",
       "29       -79.799722   Baseball Field  \n",
       "30       -79.807992  <ufunc 'isnan'>  \n",
       "31       -79.809010     Soccer Field  \n",
       "32       -79.800313     Soccer Field  \n",
       "33       -79.819317             Park  \n",
       "34       -79.814165   Baseball Field  \n",
       "35       -79.818816   Baseball Field  \n",
       "36       -79.817749             Park  \n",
       "37       -79.821152             Park  \n",
       "38       -79.818871             Park  \n",
       "39       -79.817798             Park  \n",
       "40       -79.825000             Park  \n",
       "41       -79.832544             Park  \n",
       "42       -79.820860  <ufunc 'isnan'>  \n",
       "43       -79.826225       Playground  \n",
       "44       -79.793608             Park  \n",
       "45       -79.787154       Playground  \n",
       "46       -79.798299       Playground  \n",
       "47       -79.787262  <ufunc 'isnan'>  \n",
       "48       -79.791561       Playground  \n",
       "49       -79.782934     Soccer Field  \n",
       "50       -79.781108             Park  \n",
       "51       -79.793930             Park  \n",
       "52       -79.810215             Park  \n",
       "53       -79.810220   Baseball Field  \n",
       "54       -79.810162             Park  \n",
       "55       -79.810234     Soccer Field  \n",
       "56       -79.809830             Park  \n",
       "57       -79.802458             Park  \n",
       "58       -79.810176             Park  \n",
       "59       -79.755538             Park  \n",
       "60       -79.754848     Soccer Field  \n",
       "61       -79.747975   Baseball Field  \n",
       "62       -79.756298             Park  \n",
       "63       -79.740620             Park  \n",
       "64       -79.770060             Park  \n",
       "65       -79.777663       Playground  \n",
       "66       -79.769125       Playground  \n",
       "67       -79.746940  <ufunc 'isnan'>  \n",
       "68       -79.746836             Park  \n",
       "69       -79.757963             Park  \n",
       "70       -79.764616   Baseball Field  \n",
       "71       -79.798124             Park  \n",
       "72       -79.841560             Park  \n",
       "73       -79.859381             Park  \n",
       "74       -79.836498             Park  \n",
       "75       -79.843180             Park  \n",
       "76       -79.778675             Park  \n",
       "77       -79.782663             Park  \n",
       "78       -79.782692             Park  \n",
       "79       -79.814816             Park  \n",
       "80       -79.791923             Park  \n",
       "81       -79.804276             Park  \n",
       "82       -79.803219       Playground  \n",
       "83       -79.799098             Park  \n",
       "84       -79.807472     Soccer Field  \n",
       "85       -79.806361             Park  \n",
       "86       -79.799323       Playground  \n",
       "87       -79.814964             Park  \n",
       "88       -79.800860             Park  \n",
       "89       -79.803383             Park  \n",
       "90       -79.791140     Soccer Field  \n",
       "91       -79.821441             Park  \n",
       "92       -79.821964             Park  \n",
       "93       -79.825240             Park  \n",
       "94       -79.775211       Playground  \n",
       "95       -79.807581       Playground  \n",
       "96       -79.792262       Playground  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Parks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [],
   "source": [
    "#correct the location of Zimmerman Park\n",
    "Parks.iloc[90,2] = float(43.427178)\n",
    "Parks.iloc[90,3] = float(-79.852459)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "To_be_dropped=['Parkway drive, burlington', 'E.A. Washburn Memorial Park Resevoir', 'Amazing Adventures Playland', 'Mountainside Park', 'Mount Forest Park', 'Roly Bird Dog Park', 'Carlisle Memorial Park', 'Mountain Gardens Parkette', \"Spencer's Splash Pad & Park\", ]\n",
    "Parks = Parks.loc[~Parks['Venue'].isin(To_be_dropped)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "Parks=Parks.reset_index(drop=True) \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Aldershot</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alton Village</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brant Hills</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central</th>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corporate</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dynes</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elizabeth Gardens</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Headon Forest</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longmoor</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Millcroft</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mountainside</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Palmer</th>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pinedale</th>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plains</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roseland</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rural Burlington</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoreacres</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tansley</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Orchard</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tyandaga</th>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Venue  Venue Latitude  Venue Longitude  Venue Category\n",
       "Neighborhood                                                             \n",
       "Aldershot              8               8                8               8\n",
       "Alton Village          3               3                3               3\n",
       "Brant Hills            5               5                5               5\n",
       "Central               12              12               12              12\n",
       "Corporate              3               3                3               3\n",
       "Dynes                  3               3                3               3\n",
       "Elizabeth Gardens      2               2                2               2\n",
       "Headon Forest          4               4                4               4\n",
       "Longmoor               3               3                3               3\n",
       "Millcroft              5               5                5               5\n",
       "Mountainside           6               6                6               6\n",
       "Palmer                 6               6                6               6\n",
       "Pinedale               5               5                5               5\n",
       "Plains                 2               2                2               2\n",
       "Roseland               3               3                3               3\n",
       "Rural Burlington       1               1                1               1\n",
       "Shoreacres             4               4                4               4\n",
       "Tansley                1               1                1               1\n",
       "The Orchard            8               8                8               8\n",
       "Tyandaga               4               4                4               4"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Parks.groupby(by='Neighborhood').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>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>Aldershot</td>\n",
       "      <td>LaSalle Park</td>\n",
       "      <td>43.300853</td>\n",
       "      <td>-79.845929</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Hidden Valley Park</td>\n",
       "      <td>43.303402</td>\n",
       "      <td>-79.862750</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Aldershot Park</td>\n",
       "      <td>43.314603</td>\n",
       "      <td>-79.845890</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Holy Rosary Ball Diamond &amp; Park</td>\n",
       "      <td>43.313680</td>\n",
       "      <td>-79.844771</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Bayshore Park</td>\n",
       "      <td>43.306530</td>\n",
       "      <td>-79.837440</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>BCA Park</td>\n",
       "      <td>43.327104</td>\n",
       "      <td>-79.846128</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Kiwanis Park</td>\n",
       "      <td>43.316240</td>\n",
       "      <td>-79.833189</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Aldershot</td>\n",
       "      <td>Fairfield Parkette</td>\n",
       "      <td>43.295710</td>\n",
       "      <td>-79.863594</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Palladium park</td>\n",
       "      <td>43.399917</td>\n",
       "      <td>-79.829157</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Norton Community Park</td>\n",
       "      <td>43.398966</td>\n",
       "      <td>-79.817798</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Alton Village</td>\n",
       "      <td>Doug Wright Park</td>\n",
       "      <td>43.405763</td>\n",
       "      <td>-79.821451</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Champlain Park</td>\n",
       "      <td>43.366221</td>\n",
       "      <td>-79.826701</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Kinsmen Park</td>\n",
       "      <td>43.370764</td>\n",
       "      <td>-79.834503</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Sinclair Park</td>\n",
       "      <td>43.362831</td>\n",
       "      <td>-79.838871</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Brant Hills Park</td>\n",
       "      <td>43.363532</td>\n",
       "      <td>-79.846521</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Brant Hills</td>\n",
       "      <td>Duncaster Park</td>\n",
       "      <td>43.361085</td>\n",
       "      <td>-79.842453</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Central</td>\n",
       "      <td>Central Park Soccer Field Burlington</td>\n",
       "      <td>43.427178</td>\n",
       "      <td>-79.852459</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Central</td>\n",
       "      <td>Brock Park</td>\n",
       "      <td>43.322411</td>\n",
       "      <td>-79.803383</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Central</td>\n",
       "      <td>Apeldoorn park</td>\n",
       "      <td>43.323320</td>\n",
       "      <td>-79.800860</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Central</td>\n",
       "      <td>Thorpe Park</td>\n",
       "      <td>43.328295</td>\n",
       "      <td>-79.814964</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Central</td>\n",
       "      <td>Optimist Park</td>\n",
       "      <td>43.337508</td>\n",
       "      <td>-79.806361</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Central</td>\n",
       "      <td>Wellington Park</td>\n",
       "      <td>43.327964</td>\n",
       "      <td>-79.807472</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Central</td>\n",
       "      <td>Spencer Smith Park</td>\n",
       "      <td>43.321235</td>\n",
       "      <td>-79.799098</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Central</td>\n",
       "      <td>Lions Park</td>\n",
       "      <td>43.331379</td>\n",
       "      <td>-79.803219</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Central</td>\n",
       "      <td>St. John's Park</td>\n",
       "      <td>43.331427</td>\n",
       "      <td>-79.804276</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Central</td>\n",
       "      <td>Central Park</td>\n",
       "      <td>43.336533</td>\n",
       "      <td>-79.791923</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Central</td>\n",
       "      <td>Maple Park</td>\n",
       "      <td>43.323156</td>\n",
       "      <td>-79.814816</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Central</td>\n",
       "      <td>Central Park Playground</td>\n",
       "      <td>43.336100</td>\n",
       "      <td>-79.792262</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>Lampman Park</td>\n",
       "      <td>43.391743</td>\n",
       "      <td>-79.778675</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>Des Jardines Park</td>\n",
       "      <td>43.394455</td>\n",
       "      <td>-79.782692</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Corporate</td>\n",
       "      <td>Lampman Park</td>\n",
       "      <td>43.394332</td>\n",
       "      <td>-79.782663</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>Cumberland Park</td>\n",
       "      <td>43.347500</td>\n",
       "      <td>-79.781976</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>Techumseh Park</td>\n",
       "      <td>43.347110</td>\n",
       "      <td>-79.788660</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Dynes</td>\n",
       "      <td>Ryerson Park</td>\n",
       "      <td>43.351587</td>\n",
       "      <td>-79.776234</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Elizabeth Gardens</td>\n",
       "      <td>Elisabeth Gardens Parkette</td>\n",
       "      <td>43.371749</td>\n",
       "      <td>-79.734869</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Elizabeth Gardens</td>\n",
       "      <td>Mohawk Park</td>\n",
       "      <td>43.369849</td>\n",
       "      <td>-79.738320</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>mackys park</td>\n",
       "      <td>43.389236</td>\n",
       "      <td>-79.826477</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>Newport park</td>\n",
       "      <td>43.386790</td>\n",
       "      <td>-79.819167</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>Pinemeadow Park</td>\n",
       "      <td>43.371203</td>\n",
       "      <td>-79.823166</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Headon Forest</td>\n",
       "      <td>Ireland Park</td>\n",
       "      <td>43.376578</td>\n",
       "      <td>-79.827412</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>Nelson Park</td>\n",
       "      <td>43.361039</td>\n",
       "      <td>-79.765720</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>Iroquois Park</td>\n",
       "      <td>43.358195</td>\n",
       "      <td>-79.772440</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Longmoor</td>\n",
       "      <td>Longmoor Park</td>\n",
       "      <td>43.367628</td>\n",
       "      <td>-79.758412</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Millcroft Park</td>\n",
       "      <td>43.395534</td>\n",
       "      <td>-79.799722</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Berwick Green Park</td>\n",
       "      <td>43.385732</td>\n",
       "      <td>-79.807992</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Taywood Park</td>\n",
       "      <td>43.398725</td>\n",
       "      <td>-79.809010</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Millcroft Park--Soccer Field</td>\n",
       "      <td>43.398766</td>\n",
       "      <td>-79.800313</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Millcroft</td>\n",
       "      <td>Berton Park</td>\n",
       "      <td>43.395363</td>\n",
       "      <td>-79.819317</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Mountain Side Playground</td>\n",
       "      <td>43.354593</td>\n",
       "      <td>-79.807581</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Amherst Park</td>\n",
       "      <td>43.352919</td>\n",
       "      <td>-79.832544</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Clarksdale Park</td>\n",
       "      <td>43.354971</td>\n",
       "      <td>-79.814165</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Peart Park</td>\n",
       "      <td>43.355675</td>\n",
       "      <td>-79.817749</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Roly Bird Park</td>\n",
       "      <td>43.347030</td>\n",
       "      <td>-79.817798</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Mountainside</td>\n",
       "      <td>Cavendish Park</td>\n",
       "      <td>43.356922</td>\n",
       "      <td>-79.839114</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Brittany Park</td>\n",
       "      <td>43.367753</td>\n",
       "      <td>-79.810220</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Cleaver Park</td>\n",
       "      <td>43.367749</td>\n",
       "      <td>-79.810176</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Lansdown Park</td>\n",
       "      <td>43.372384</td>\n",
       "      <td>-79.802458</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Pearson Park</td>\n",
       "      <td>43.367761</td>\n",
       "      <td>-79.810234</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Sycamore Park</td>\n",
       "      <td>43.367766</td>\n",
       "      <td>-79.810162</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Palmer</td>\n",
       "      <td>Palmer Park</td>\n",
       "      <td>43.367752</td>\n",
       "      <td>-79.810215</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Sheraton Park</td>\n",
       "      <td>43.373213</td>\n",
       "      <td>-79.756298</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Fothergill Woods Park</td>\n",
       "      <td>43.380989</td>\n",
       "      <td>-79.740620</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Sherwood Forest Park</td>\n",
       "      <td>43.382611</td>\n",
       "      <td>-79.755538</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Sherwood Soccer Park</td>\n",
       "      <td>43.382749</td>\n",
       "      <td>-79.754848</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Pinedale</td>\n",
       "      <td>Sheldon Park</td>\n",
       "      <td>43.380506</td>\n",
       "      <td>-79.747975</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Plains</td>\n",
       "      <td>Leighland Park</td>\n",
       "      <td>43.332783</td>\n",
       "      <td>-79.825240</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Plains</td>\n",
       "      <td>North Park</td>\n",
       "      <td>43.334582</td>\n",
       "      <td>-79.821964</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>Sioux Lookout Park</td>\n",
       "      <td>43.337875</td>\n",
       "      <td>-79.770060</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>Port Nelson Park</td>\n",
       "      <td>43.333154</td>\n",
       "      <td>-79.777663</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Roseland</td>\n",
       "      <td>Tuck Park</td>\n",
       "      <td>43.345364</td>\n",
       "      <td>-79.769125</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Rural Burlington</td>\n",
       "      <td>Zimmerman Park</td>\n",
       "      <td>43.405760</td>\n",
       "      <td>-79.821441</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>Strathcona Park</td>\n",
       "      <td>43.355185</td>\n",
       "      <td>-79.764616</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>Glen Afton Park</td>\n",
       "      <td>43.353745</td>\n",
       "      <td>-79.757963</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>Pineland Park</td>\n",
       "      <td>43.361084</td>\n",
       "      <td>-79.746836</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Shoreacres</td>\n",
       "      <td>Iroquois park</td>\n",
       "      <td>43.361062</td>\n",
       "      <td>-79.746940</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Tansley</td>\n",
       "      <td>Tansley Wood Park</td>\n",
       "      <td>43.379102</td>\n",
       "      <td>-79.798124</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Emerson park</td>\n",
       "      <td>43.408501</td>\n",
       "      <td>-79.793608</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Nadines Ravine Park Bridge</td>\n",
       "      <td>43.404571</td>\n",
       "      <td>-79.787154</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Pathfinder Park</td>\n",
       "      <td>43.404249</td>\n",
       "      <td>-79.798299</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Orchard Park School</td>\n",
       "      <td>43.403194</td>\n",
       "      <td>-79.787262</td>\n",
       "      <td>&lt;ufunc 'isnan'&gt;</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Orchard Park Turf</td>\n",
       "      <td>43.407228</td>\n",
       "      <td>-79.782934</td>\n",
       "      <td>Soccer Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Orchard Community Park</td>\n",
       "      <td>43.409578</td>\n",
       "      <td>-79.781108</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Dryden Parkette</td>\n",
       "      <td>43.398243</td>\n",
       "      <td>-79.793930</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>The Orchard</td>\n",
       "      <td>Brada woods park</td>\n",
       "      <td>43.401706</td>\n",
       "      <td>-79.791561</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>Westbury Park</td>\n",
       "      <td>43.347309</td>\n",
       "      <td>-79.836498</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>Kerns Park</td>\n",
       "      <td>43.344213</td>\n",
       "      <td>-79.841560</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>Kerncliff Park</td>\n",
       "      <td>43.349003</td>\n",
       "      <td>-79.859381</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Tyandaga</td>\n",
       "      <td>Fairchild park</td>\n",
       "      <td>43.355990</td>\n",
       "      <td>-79.843180</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Neighborhood                                 Venue  Venue Latitude  \\\n",
       "0           Aldershot                          LaSalle Park       43.300853   \n",
       "1           Aldershot                    Hidden Valley Park       43.303402   \n",
       "2           Aldershot                        Aldershot Park       43.314603   \n",
       "3           Aldershot       Holy Rosary Ball Diamond & Park       43.313680   \n",
       "4           Aldershot                         Bayshore Park       43.306530   \n",
       "5           Aldershot                              BCA Park       43.327104   \n",
       "6           Aldershot                          Kiwanis Park       43.316240   \n",
       "7           Aldershot                    Fairfield Parkette       43.295710   \n",
       "8       Alton Village                        Palladium park       43.399917   \n",
       "9       Alton Village                 Norton Community Park       43.398966   \n",
       "10      Alton Village                      Doug Wright Park       43.405763   \n",
       "15        Brant Hills                        Champlain Park       43.366221   \n",
       "14        Brant Hills                          Kinsmen Park       43.370764   \n",
       "13        Brant Hills                         Sinclair Park       43.362831   \n",
       "12        Brant Hills                      Brant Hills Park       43.363532   \n",
       "11        Brant Hills                        Duncaster Park       43.361085   \n",
       "82            Central  Central Park Soccer Field Burlington       43.427178   \n",
       "81            Central                            Brock Park       43.322411   \n",
       "80            Central                        Apeldoorn park       43.323320   \n",
       "79            Central                           Thorpe Park       43.328295   \n",
       "78            Central                         Optimist Park       43.337508   \n",
       "77            Central                       Wellington Park       43.327964   \n",
       "76            Central                    Spencer Smith Park       43.321235   \n",
       "75            Central                            Lions Park       43.331379   \n",
       "74            Central                       St. John's Park       43.331427   \n",
       "73            Central                          Central Park       43.336533   \n",
       "72            Central                            Maple Park       43.323156   \n",
       "87            Central               Central Park Playground       43.336100   \n",
       "69          Corporate                          Lampman Park       43.391743   \n",
       "71          Corporate                     Des Jardines Park       43.394455   \n",
       "70          Corporate                          Lampman Park       43.394332   \n",
       "19              Dynes                       Cumberland Park       43.347500   \n",
       "18              Dynes                        Techumseh Park       43.347110   \n",
       "17              Dynes                          Ryerson Park       43.351587   \n",
       "21  Elizabeth Gardens            Elisabeth Gardens Parkette       43.371749   \n",
       "20  Elizabeth Gardens                           Mohawk Park       43.369849   \n",
       "25      Headon Forest                           mackys park       43.389236   \n",
       "24      Headon Forest                          Newport park       43.386790   \n",
       "23      Headon Forest                       Pinemeadow Park       43.371203   \n",
       "22      Headon Forest                          Ireland Park       43.376578   \n",
       "26           Longmoor                           Nelson Park       43.361039   \n",
       "27           Longmoor                         Iroquois Park       43.358195   \n",
       "28           Longmoor                         Longmoor Park       43.367628   \n",
       "29          Millcroft                        Millcroft Park       43.395534   \n",
       "30          Millcroft                    Berwick Green Park       43.385732   \n",
       "31          Millcroft                          Taywood Park       43.398725   \n",
       "32          Millcroft          Millcroft Park--Soccer Field       43.398766   \n",
       "33          Millcroft                           Berton Park       43.395363   \n",
       "86       Mountainside              Mountain Side Playground       43.354593   \n",
       "37       Mountainside                          Amherst Park       43.352919   \n",
       "34       Mountainside                       Clarksdale Park       43.354971   \n",
       "35       Mountainside                            Peart Park       43.355675   \n",
       "36       Mountainside                        Roly Bird Park       43.347030   \n",
       "16       Mountainside                        Cavendish Park       43.356922   \n",
       "47             Palmer                         Brittany Park       43.367753   \n",
       "51             Palmer                          Cleaver Park       43.367749   \n",
       "50             Palmer                         Lansdown Park       43.372384   \n",
       "49             Palmer                          Pearson Park       43.367761   \n",
       "48             Palmer                         Sycamore Park       43.367766   \n",
       "46             Palmer                           Palmer Park       43.367752   \n",
       "55           Pinedale                         Sheraton Park       43.373213   \n",
       "56           Pinedale                 Fothergill Woods Park       43.380989   \n",
       "52           Pinedale                  Sherwood Forest Park       43.382611   \n",
       "53           Pinedale                  Sherwood Soccer Park       43.382749   \n",
       "54           Pinedale                          Sheldon Park       43.380506   \n",
       "85             Plains                        Leighland Park       43.332783   \n",
       "84             Plains                            North Park       43.334582   \n",
       "57           Roseland                    Sioux Lookout Park       43.337875   \n",
       "58           Roseland                      Port Nelson Park       43.333154   \n",
       "59           Roseland                             Tuck Park       43.345364   \n",
       "83   Rural Burlington                        Zimmerman Park       43.405760   \n",
       "63         Shoreacres                       Strathcona Park       43.355185   \n",
       "62         Shoreacres                       Glen Afton Park       43.353745   \n",
       "61         Shoreacres                         Pineland Park       43.361084   \n",
       "60         Shoreacres                         Iroquois park       43.361062   \n",
       "64           Tansley                      Tansley Wood Park       43.379102   \n",
       "38        The Orchard                          Emerson park       43.408501   \n",
       "39        The Orchard            Nadines Ravine Park Bridge       43.404571   \n",
       "40        The Orchard                       Pathfinder Park       43.404249   \n",
       "41        The Orchard                   Orchard Park School       43.403194   \n",
       "43        The Orchard                     Orchard Park Turf       43.407228   \n",
       "44        The Orchard                Orchard Community Park       43.409578   \n",
       "45        The Orchard                       Dryden Parkette       43.398243   \n",
       "42        The Orchard                      Brada woods park       43.401706   \n",
       "67           Tyandaga                         Westbury Park       43.347309   \n",
       "65           Tyandaga                            Kerns Park       43.344213   \n",
       "66           Tyandaga                        Kerncliff Park       43.349003   \n",
       "68           Tyandaga                        Fairchild park       43.355990   \n",
       "\n",
       "    Venue Longitude   Venue Category  \n",
       "0        -79.845929             Park  \n",
       "1        -79.862750       Playground  \n",
       "2        -79.845890  <ufunc 'isnan'>  \n",
       "3        -79.844771   Baseball Field  \n",
       "4        -79.837440  <ufunc 'isnan'>  \n",
       "5        -79.846128       Playground  \n",
       "6        -79.833189             Park  \n",
       "7        -79.863594       Playground  \n",
       "8        -79.829157             Park  \n",
       "9        -79.817798             Park  \n",
       "10       -79.821451       Playground  \n",
       "15       -79.826701       Playground  \n",
       "14       -79.834503             Park  \n",
       "13       -79.838871             Park  \n",
       "12       -79.846521   Baseball Field  \n",
       "11       -79.842453             Park  \n",
       "82       -79.852459     Soccer Field  \n",
       "81       -79.803383             Park  \n",
       "80       -79.800860             Park  \n",
       "79       -79.814964             Park  \n",
       "78       -79.806361             Park  \n",
       "77       -79.807472     Soccer Field  \n",
       "76       -79.799098             Park  \n",
       "75       -79.803219       Playground  \n",
       "74       -79.804276             Park  \n",
       "73       -79.791923             Park  \n",
       "72       -79.814816             Park  \n",
       "87       -79.792262       Playground  \n",
       "69       -79.778675             Park  \n",
       "71       -79.782692             Park  \n",
       "70       -79.782663             Park  \n",
       "19       -79.781976     Soccer Field  \n",
       "18       -79.788660     Soccer Field  \n",
       "17       -79.776234   Baseball Field  \n",
       "21       -79.734869             Park  \n",
       "20       -79.738320       Playground  \n",
       "25       -79.826477       Playground  \n",
       "24       -79.819167             Park  \n",
       "23       -79.823166  <ufunc 'isnan'>  \n",
       "22       -79.827412             Park  \n",
       "26       -79.765720   Baseball Field  \n",
       "27       -79.772440             Park  \n",
       "28       -79.758412  <ufunc 'isnan'>  \n",
       "29       -79.799722   Baseball Field  \n",
       "30       -79.807992  <ufunc 'isnan'>  \n",
       "31       -79.809010     Soccer Field  \n",
       "32       -79.800313     Soccer Field  \n",
       "33       -79.819317             Park  \n",
       "86       -79.807581       Playground  \n",
       "37       -79.832544             Park  \n",
       "34       -79.814165   Baseball Field  \n",
       "35       -79.817749             Park  \n",
       "36       -79.817798             Park  \n",
       "16       -79.839114   Baseball Field  \n",
       "47       -79.810220   Baseball Field  \n",
       "51       -79.810176             Park  \n",
       "50       -79.802458             Park  \n",
       "49       -79.810234     Soccer Field  \n",
       "48       -79.810162             Park  \n",
       "46       -79.810215             Park  \n",
       "55       -79.756298             Park  \n",
       "56       -79.740620             Park  \n",
       "52       -79.755538             Park  \n",
       "53       -79.754848     Soccer Field  \n",
       "54       -79.747975   Baseball Field  \n",
       "85       -79.825240             Park  \n",
       "84       -79.821964             Park  \n",
       "57       -79.770060             Park  \n",
       "58       -79.777663       Playground  \n",
       "59       -79.769125       Playground  \n",
       "83       -79.821441             Park  \n",
       "63       -79.764616   Baseball Field  \n",
       "62       -79.757963             Park  \n",
       "61       -79.746836             Park  \n",
       "60       -79.746940  <ufunc 'isnan'>  \n",
       "64       -79.798124             Park  \n",
       "38       -79.793608             Park  \n",
       "39       -79.787154       Playground  \n",
       "40       -79.798299       Playground  \n",
       "41       -79.787262  <ufunc 'isnan'>  \n",
       "43       -79.782934     Soccer Field  \n",
       "44       -79.781108             Park  \n",
       "45       -79.793930             Park  \n",
       "42       -79.791561       Playground  \n",
       "67       -79.836498             Park  \n",
       "65       -79.841560             Park  \n",
       "66       -79.859381             Park  \n",
       "68       -79.843180             Park  "
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Parks.sort_values(by='Neighborhood')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Map "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
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            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
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            var circle_marker_e52ffbe28c3742758b57719bba114af6 = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#c2ea8c", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#c2ea8c", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
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            var circle_marker_bae00229f97d40869da674bc9602524f = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ded579", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ded579", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
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            var circle_marker_728ab45ad512459f9204a3f67470e0dc = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#f9bb66", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#f9bb66", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
        var popup_b37d828e78bb45a2959b69cf1f8a5a2a = L.popup({"maxWidth": "100%"});

        
            var html_9c78285ddd6f424fbb378eb9e12c39d2 = $(`<div id="html_9c78285ddd6f424fbb378eb9e12c39d2" style="width: 100.0%; height: 100.0%;">Kerns Park (Tyandaga)</div>`)[0];
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                [43.34900334037393, -79.85938105768282],
                {"bubblingMouseEvents": true, "color": "#f9bb66", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#f9bb66", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
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            popup_b520a994da1c44e99a72435bf8d668a7.setContent(html_84de770e5cd040318f701b33ecb5a1d0);
        

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                {"bubblingMouseEvents": true, "color": "#f9bb66", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#f9bb66", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
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            var circle_marker_c1aba0b38e4245f3a8fbcbc4ca78b8de = L.circleMarker(
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            var html_f85575fca67f4b1b890bcd16962aba0c = $(`<div id="html_f85575fca67f4b1b890bcd16962aba0c" style="width: 100.0%; height: 100.0%;">Fairchild park (Tyandaga)</div>`)[0];
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            var html_4ac9d614e60448d4b727d6c92fe3516e = $(`<div id="html_4ac9d614e60448d4b727d6c92fe3516e" style="width: 100.0%; height: 100.0%;">Lampman Park (Corporate)</div>`)[0];
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        circle_marker_bf602cd84b364a8ba4ad6c8205da3c5d.bindPopup(popup_2d82184e4c2d4929b2b0c2e6e6d129dc)
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            var circle_marker_a0df6fdd3cde4691a4986d45c081125b = L.circleMarker(
                [43.394455273432854, -79.78269215423975],
                {"bubblingMouseEvents": true, "color": "#ff9b52", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff9b52", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
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            var html_90955c93031b46cca55e216aad137ebd = $(`<div id="html_90955c93031b46cca55e216aad137ebd" style="width: 100.0%; height: 100.0%;">Des Jardines Park (Corporate)</div>`)[0];
            popup_f9111e4da71040db8480b9edadd5682c.setContent(html_90955c93031b46cca55e216aad137ebd);
        

        circle_marker_a0df6fdd3cde4691a4986d45c081125b.bindPopup(popup_f9111e4da71040db8480b9edadd5682c)
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            var circle_marker_09c43d550fc543b1883c2c4583d17874 = L.circleMarker(
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            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
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            var html_b5605ef95de24d46aa05ab9deb53e34c = $(`<div id="html_b5605ef95de24d46aa05ab9deb53e34c" style="width: 100.0%; height: 100.0%;">Maple Park (Central)</div>`)[0];
            popup_115979164672498d83c3c2a6272fd6f2.setContent(html_b5605ef95de24d46aa05ab9deb53e34c);
        

        circle_marker_09c43d550fc543b1883c2c4583d17874.bindPopup(popup_115979164672498d83c3c2a6272fd6f2)
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            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
        var popup_e98e2747c94c46a695cf80ce0d86ec6f = L.popup({"maxWidth": "100%"});

        
            var html_f052337283594209af671a08d46e0880 = $(`<div id="html_f052337283594209af671a08d46e0880" style="width: 100.0%; height: 100.0%;">Central Park (Central)</div>`)[0];
            popup_e98e2747c94c46a695cf80ce0d86ec6f.setContent(html_f052337283594209af671a08d46e0880);
        

        circle_marker_efa6ed12870643b5a6f70bc466e56828.bindPopup(popup_e98e2747c94c46a695cf80ce0d86ec6f)
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            var circle_marker_36c4d34433154f329706bcf009ad5251 = L.circleMarker(
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            var html_e0503a9a1f284bb5b1eabaceeafdaedd = $(`<div id="html_e0503a9a1f284bb5b1eabaceeafdaedd" style="width: 100.0%; height: 100.0%;">Spencer Smith Park (Central)</div>`)[0];
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            var html_dc7f2ce8dedb43ff9c27afe123307eeb = $(`<div id="html_dc7f2ce8dedb43ff9c27afe123307eeb" style="width: 100.0%; height: 100.0%;">Wellington Park (Central)</div>`)[0];
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        circle_marker_6b5bc6065b8e48fca31a7de85239e825.bindPopup(popup_f3b024ae7e8846019dcdfcf4c627a219)
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                [43.3375082026684, -79.8063611984253],
                {"bubblingMouseEvents": true, "color": "#ff793e", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff793e", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
        var popup_c95f5ee0524f4457bdd134287a5da342 = L.popup({"maxWidth": "100%"});

        
            var html_f17526ac55464d01a61d2225be492ec1 = $(`<div id="html_f17526ac55464d01a61d2225be492ec1" style="width: 100.0%; height: 100.0%;">Optimist Park (Central)</div>`)[0];
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        circle_marker_4869518a4bd945d8ab7f1d3e565f97b0.bindPopup(popup_c95f5ee0524f4457bdd134287a5da342)
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            var circle_marker_e993a484a1ef4db781ba2b022e186686 = L.circleMarker(
                [43.3282952197501, -79.81496351065788],
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            popup_f1ff6b534fe048ed9b72568ba579ba2f.setContent(html_492c9c257fa14590a373363ca4ecc2d0);
        

        circle_marker_e993a484a1ef4db781ba2b022e186686.bindPopup(popup_f1ff6b534fe048ed9b72568ba579ba2f)
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            var circle_marker_53718a5e196a4820a2beff560dc51d1d = L.circleMarker(
                [43.32332, -79.80086],
                {"bubblingMouseEvents": true, "color": "#ff793e", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff793e", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
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        var popup_42ff11bc106e4ffca0a145d9bde82e02 = L.popup({"maxWidth": "100%"});

        
            var html_6704570a26374b72a985940feaa0a36d = $(`<div id="html_6704570a26374b72a985940feaa0a36d" style="width: 100.0%; height: 100.0%;">Apeldoorn park (Central)</div>`)[0];
            popup_42ff11bc106e4ffca0a145d9bde82e02.setContent(html_6704570a26374b72a985940feaa0a36d);
        

        circle_marker_53718a5e196a4820a2beff560dc51d1d.bindPopup(popup_42ff11bc106e4ffca0a145d9bde82e02)
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            var circle_marker_150df914dc034893aac1f2b933550520 = L.circleMarker(
                [43.32241145972552, -79.80338332870714],
                {"bubblingMouseEvents": true, "color": "#ff793e", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff793e", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
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        var popup_147ade4b52e746a8870b8da04b29ec8c = L.popup({"maxWidth": "100%"});

        
            var html_c80931179f114490b716bc8d4c9f5cb7 = $(`<div id="html_c80931179f114490b716bc8d4c9f5cb7" style="width: 100.0%; height: 100.0%;">Brock Park (Central)</div>`)[0];
            popup_147ade4b52e746a8870b8da04b29ec8c.setContent(html_c80931179f114490b716bc8d4c9f5cb7);
        

        circle_marker_150df914dc034893aac1f2b933550520.bindPopup(popup_147ade4b52e746a8870b8da04b29ec8c)
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            var circle_marker_f727d9e8f23e4d67b510f8816041a0da = L.circleMarker(
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                {"bubblingMouseEvents": true, "color": "#ff793e", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff793e", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
        var popup_9d311b3d892b449a854dbba633ac65b2 = L.popup({"maxWidth": "100%"});

        
            var html_5559caeddb114fd1890e9748d11add4c = $(`<div id="html_5559caeddb114fd1890e9748d11add4c" style="width: 100.0%; height: 100.0%;">Central Park Soccer Field Burlington (Central)</div>`)[0];
            popup_9d311b3d892b449a854dbba633ac65b2.setContent(html_5559caeddb114fd1890e9748d11add4c);
        

        circle_marker_f727d9e8f23e4d67b510f8816041a0da.bindPopup(popup_9d311b3d892b449a854dbba633ac65b2)
        ;

        
    
    
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                [43.40575965666875, -79.82144070375546],
                {"bubblingMouseEvents": true, "color": "#ff5029", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff5029", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
        var popup_994caae828c646d58099f3a2083473fa = L.popup({"maxWidth": "100%"});

        
            var html_1225bb2b2fd443919a0ee34dd6769b88 = $(`<div id="html_1225bb2b2fd443919a0ee34dd6769b88" style="width: 100.0%; height: 100.0%;">Zimmerman Park (Rural Burlington)</div>`)[0];
            popup_994caae828c646d58099f3a2083473fa.setContent(html_1225bb2b2fd443919a0ee34dd6769b88);
        

        circle_marker_b4592cabeca74f6994d8ee1edc767f3a.bindPopup(popup_994caae828c646d58099f3a2083473fa)
        ;

        
    
    
            var circle_marker_9d041f6b55eb4956a543d036ffe0f544 = L.circleMarker(
                [43.334582, -79.821964],
                {"bubblingMouseEvents": true, "color": "#ff2914", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff2914", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
        var popup_5edc2e3c62d54ade9dcb85d0b24e3c19 = L.popup({"maxWidth": "100%"});

        
            var html_3012c08f91264334b902cf5b148cfc49 = $(`<div id="html_3012c08f91264334b902cf5b148cfc49" style="width: 100.0%; height: 100.0%;">North Park (Plains)</div>`)[0];
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        ;

        
    
    
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                [43.332782892207575, -79.82523968512484],
                {"bubblingMouseEvents": true, "color": "#ff2914", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff2914", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
        var popup_e35793ad40dc44d0a36b6d9655f5519e = L.popup({"maxWidth": "100%"});

        
            var html_1fb3eaa045974654a715f1ad2f8a1815 = $(`<div id="html_1fb3eaa045974654a715f1ad2f8a1815" style="width: 100.0%; height: 100.0%;">Leighland Park (Plains)</div>`)[0];
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        ;

        
    
    
            var circle_marker_54baf45850ae4037a0f5b9df1a341b48 = L.circleMarker(
                [43.354593, -79.807581],
                {"bubblingMouseEvents": true, "color": "#4c50fc", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#4c50fc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
        var popup_346ee579b0404d418df5328242869f5e = L.popup({"maxWidth": "100%"});

        
            var html_577dbf55840b4e3ea2c484cadf67811d = $(`<div id="html_577dbf55840b4e3ea2c484cadf67811d" style="width: 100.0%; height: 100.0%;">Mountain Side Playground (Mountainside)</div>`)[0];
            popup_346ee579b0404d418df5328242869f5e.setContent(html_577dbf55840b4e3ea2c484cadf67811d);
        

        circle_marker_54baf45850ae4037a0f5b9df1a341b48.bindPopup(popup_346ee579b0404d418df5328242869f5e)
        ;

        
    
    
            var circle_marker_e9a91316774242689a9f795703587032 = L.circleMarker(
                [43.33609965180212, -79.79226196458775],
                {"bubblingMouseEvents": true, "color": "#ff793e", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff793e", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_ba32502116c549179d5ad50ac67c9d64);
        
    
        var popup_974720818146493892377cbb09c46e5b = L.popup({"maxWidth": "100%"});

        
            var html_093b0cda4af045ea9dd01c3678415792 = $(`<div id="html_093b0cda4af045ea9dd01c3678415792" style="width: 100.0%; height: 100.0%;">Central Park Playground (Central)</div>`)[0];
            popup_974720818146493892377cbb09c46e5b.setContent(html_093b0cda4af045ea9dd01c3678415792);
        

        circle_marker_e9a91316774242689a9f795703587032.bindPopup(popup_974720818146493892377cbb09c46e5b)
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</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1adc6de3c88>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Burlington Location\n",
    "latitude = 43.35\n",
    "longitude = -79.7990\n",
    "\n",
    "# create map\n",
    "map_Parks = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "#set color scheme for neighborhoods\n",
    "x = np.arange(len(set(Parks['Neighborhood'])))\n",
    "ys = [i + x + (i*x)**2 for i in range(len(list(set(Parks['Neighborhood']))))]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, name, neighborhood, color_code in zip(Parks['Venue Latitude'], Parks['Venue Longitude'], Parks['Venue'], Parks['Neighborhood'], Parks['Neighborhood'].factorize()[0]):\n",
    "    label = folium.Popup(str(name)+'\\n'+'('+str(neighborhood)+')', parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=7,\n",
    "        popup=label,\n",
    "        color = rainbow[color_code-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[color_code-1],\n",
    "        fill_opacity=0.7).add_to(map_Parks)\n",
    "       \n",
    "map_Parks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='item5'></a>\n",
    "## 5. Clustering the Neighborhoods"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = Neighborhoods.set_index('Neighborhood')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = School_Rating[['(Average_Score)X(min_Score)']]\n",
    "df3 = df_House[['Average Detached House Price']].astype('int')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\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>(Average_Score)X(min_Score)</th>\n",
       "      <th>Average Detached House Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Aldershot</th>\n",
       "      <td>24.60</td>\n",
       "      <td>1028633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alton Village</th>\n",
       "      <td>58.46</td>\n",
       "      <td>1004791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brant Hills</th>\n",
       "      <td>21.83</td>\n",
       "      <td>786025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central (Downtown Burlington)</th>\n",
       "      <td>39.65</td>\n",
       "      <td>988647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corporate</th>\n",
       "      <td>40.60</td>\n",
       "      <td>904235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dynes</th>\n",
       "      <td>30.87</td>\n",
       "      <td>838450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elizabeth Gardens</th>\n",
       "      <td>28.60</td>\n",
       "      <td>904235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Headon Forest</th>\n",
       "      <td>42.60</td>\n",
       "      <td>864441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longmoor</th>\n",
       "      <td>29.82</td>\n",
       "      <td>826188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Millcroft</th>\n",
       "      <td>50.25</td>\n",
       "      <td>1263668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mountainside</th>\n",
       "      <td>40.20</td>\n",
       "      <td>661295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Palmer</th>\n",
       "      <td>39.60</td>\n",
       "      <td>752409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pinedale</th>\n",
       "      <td>42.84</td>\n",
       "      <td>814903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plains</th>\n",
       "      <td>30.87</td>\n",
       "      <td>735543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roseland</th>\n",
       "      <td>47.25</td>\n",
       "      <td>1519006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rural Burlington</th>\n",
       "      <td>35.20</td>\n",
       "      <td>1319136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoreacres</th>\n",
       "      <td>31.68</td>\n",
       "      <td>1222041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tansley</th>\n",
       "      <td>40.80</td>\n",
       "      <td>896590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Orchard</th>\n",
       "      <td>42.34</td>\n",
       "      <td>914307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tyandaga</th>\n",
       "      <td>36.96</td>\n",
       "      <td>1116873</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               (Average_Score)X(min_Score)  \\\n",
       "Neighborhood                                                 \n",
       "Aldershot                                            24.60   \n",
       "Alton Village                                        58.46   \n",
       "Brant Hills                                          21.83   \n",
       "Central (Downtown Burlington)                        39.65   \n",
       "Corporate                                            40.60   \n",
       "Dynes                                                30.87   \n",
       "Elizabeth Gardens                                    28.60   \n",
       "Headon Forest                                        42.60   \n",
       "Longmoor                                             29.82   \n",
       "Millcroft                                            50.25   \n",
       "Mountainside                                         40.20   \n",
       "Palmer                                               39.60   \n",
       "Pinedale                                             42.84   \n",
       "Plains                                               30.87   \n",
       "Roseland                                             47.25   \n",
       "Rural Burlington                                     35.20   \n",
       "Shoreacres                                           31.68   \n",
       "Tansley                                              40.80   \n",
       "The Orchard                                          42.34   \n",
       "Tyandaga                                             36.96   \n",
       "\n",
       "                               Average Detached House Price  \n",
       "Neighborhood                                                 \n",
       "Aldershot                                           1028633  \n",
       "Alton Village                                       1004791  \n",
       "Brant Hills                                          786025  \n",
       "Central (Downtown Burlington)                        988647  \n",
       "Corporate                                            904235  \n",
       "Dynes                                                838450  \n",
       "Elizabeth Gardens                                    904235  \n",
       "Headon Forest                                        864441  \n",
       "Longmoor                                             826188  \n",
       "Millcroft                                           1263668  \n",
       "Mountainside                                         661295  \n",
       "Palmer                                               752409  \n",
       "Pinedale                                             814903  \n",
       "Plains                                               735543  \n",
       "Roseland                                            1519006  \n",
       "Rural Burlington                                    1319136  \n",
       "Shoreacres                                          1222041  \n",
       "Tansley                                              896590  \n",
       "The Orchard                                          914307  \n",
       "Tyandaga                                            1116873  "
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merged = pd.merge(df2, df3, on='Neighborhood')\n",
    "df_merged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-1.52466812,  0.28216581],\n",
       "       [ 2.40090883,  0.17108337],\n",
       "       [-1.84580953, -0.848171  ],\n",
       "       [ 0.22016157,  0.09586673],\n",
       "       [ 0.33030032, -0.29741787],\n",
       "       [-0.79775236, -0.60391727],\n",
       "       [-1.06092601, -0.29741787],\n",
       "       [ 0.56217137, -0.4828224 ],\n",
       "       [-0.91948467, -0.66104725],\n",
       "       [ 1.44907815,  1.3772192 ],\n",
       "       [ 0.28392611, -1.4293015 ],\n",
       "       [ 0.21436479, -1.00479156],\n",
       "       [ 0.5899959 , -0.71362528],\n",
       "       [-0.79775236, -1.08337207],\n",
       "       [ 1.10127157,  2.56686645],\n",
       "       [-0.29575153,  1.63565059],\n",
       "       [-0.70384459,  1.18327452],\n",
       "       [ 0.35348742, -0.33303675],\n",
       "       [ 0.53202813, -0.25049134],\n",
       "       [-0.091705  ,  0.69328548]])"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "X = df_merged.values\n",
    "Clus_dataSet = StandardScaler().fit_transform(X)\n",
    "Clus_dataSet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 3, 2, 0, 0, 2, 2, 0, 2, 3, 0, 0, 0, 2, 3, 1, 1, 0, 0, 1])"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# set number of clusters\n",
    "kclusters = 4\n",
    "\n",
    "# run k-means clustering\n",
    "kmeans = KMeans(n_clusters=kclusters, random_state=0).fit(Clus_dataSet)\n",
    "\n",
    "# check cluster labels generated for each row in the dataframe\n",
    "kmeans.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_merged.insert(0, 'Cluster Labels', kmeans.labels_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>(Average_Score)X(min_Score)</th>\n",
       "      <th>Average Detached House Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Tansley</th>\n",
       "      <td>0</td>\n",
       "      <td>40.80</td>\n",
       "      <td>896590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central (Downtown Burlington)</th>\n",
       "      <td>0</td>\n",
       "      <td>39.65</td>\n",
       "      <td>988647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corporate</th>\n",
       "      <td>0</td>\n",
       "      <td>40.60</td>\n",
       "      <td>904235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Headon Forest</th>\n",
       "      <td>0</td>\n",
       "      <td>42.60</td>\n",
       "      <td>864441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pinedale</th>\n",
       "      <td>0</td>\n",
       "      <td>42.84</td>\n",
       "      <td>814903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Orchard</th>\n",
       "      <td>0</td>\n",
       "      <td>42.34</td>\n",
       "      <td>914307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mountainside</th>\n",
       "      <td>0</td>\n",
       "      <td>40.20</td>\n",
       "      <td>661295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Palmer</th>\n",
       "      <td>0</td>\n",
       "      <td>39.60</td>\n",
       "      <td>752409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tyandaga</th>\n",
       "      <td>1</td>\n",
       "      <td>36.96</td>\n",
       "      <td>1116873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoreacres</th>\n",
       "      <td>1</td>\n",
       "      <td>31.68</td>\n",
       "      <td>1222041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rural Burlington</th>\n",
       "      <td>1</td>\n",
       "      <td>35.20</td>\n",
       "      <td>1319136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plains</th>\n",
       "      <td>2</td>\n",
       "      <td>30.87</td>\n",
       "      <td>735543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aldershot</th>\n",
       "      <td>2</td>\n",
       "      <td>24.60</td>\n",
       "      <td>1028633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elizabeth Gardens</th>\n",
       "      <td>2</td>\n",
       "      <td>28.60</td>\n",
       "      <td>904235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dynes</th>\n",
       "      <td>2</td>\n",
       "      <td>30.87</td>\n",
       "      <td>838450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brant Hills</th>\n",
       "      <td>2</td>\n",
       "      <td>21.83</td>\n",
       "      <td>786025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longmoor</th>\n",
       "      <td>2</td>\n",
       "      <td>29.82</td>\n",
       "      <td>826188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roseland</th>\n",
       "      <td>3</td>\n",
       "      <td>47.25</td>\n",
       "      <td>1519006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alton Village</th>\n",
       "      <td>3</td>\n",
       "      <td>58.46</td>\n",
       "      <td>1004791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Millcroft</th>\n",
       "      <td>3</td>\n",
       "      <td>50.25</td>\n",
       "      <td>1263668</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Cluster Labels  (Average_Score)X(min_Score)  \\\n",
       "Neighborhood                                                                 \n",
       "Tansley                                     0                        40.80   \n",
       "Central (Downtown Burlington)               0                        39.65   \n",
       "Corporate                                   0                        40.60   \n",
       "Headon Forest                               0                        42.60   \n",
       "Pinedale                                    0                        42.84   \n",
       "The Orchard                                 0                        42.34   \n",
       "Mountainside                                0                        40.20   \n",
       "Palmer                                      0                        39.60   \n",
       "Tyandaga                                    1                        36.96   \n",
       "Shoreacres                                  1                        31.68   \n",
       "Rural Burlington                            1                        35.20   \n",
       "Plains                                      2                        30.87   \n",
       "Aldershot                                   2                        24.60   \n",
       "Elizabeth Gardens                           2                        28.60   \n",
       "Dynes                                       2                        30.87   \n",
       "Brant Hills                                 2                        21.83   \n",
       "Longmoor                                    2                        29.82   \n",
       "Roseland                                    3                        47.25   \n",
       "Alton Village                               3                        58.46   \n",
       "Millcroft                                   3                        50.25   \n",
       "\n",
       "                               Average Detached House Price  \n",
       "Neighborhood                                                 \n",
       "Tansley                                              896590  \n",
       "Central (Downtown Burlington)                        988647  \n",
       "Corporate                                            904235  \n",
       "Headon Forest                                        864441  \n",
       "Pinedale                                             814903  \n",
       "The Orchard                                          914307  \n",
       "Mountainside                                         661295  \n",
       "Palmer                                               752409  \n",
       "Tyandaga                                            1116873  \n",
       "Shoreacres                                          1222041  \n",
       "Rural Burlington                                    1319136  \n",
       "Plains                                               735543  \n",
       "Aldershot                                           1028633  \n",
       "Elizabeth Gardens                                    904235  \n",
       "Dynes                                                838450  \n",
       "Brant Hills                                          786025  \n",
       "Longmoor                                             826188  \n",
       "Roseland                                            1519006  \n",
       "Alton Village                                       1004791  \n",
       "Millcroft                                           1263668  "
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merged.sort_values('Cluster Labels')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>(Average_Score)X(min_Score)</th>\n",
       "      <th>Average Detached House Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>41.078750</td>\n",
       "      <td>8.496034e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>34.613333</td>\n",
       "      <td>1.219350e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>27.765000</td>\n",
       "      <td>8.531790e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>51.986667</td>\n",
       "      <td>1.262488e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                (Average_Score)X(min_Score)  Average Detached House Price\n",
       "Cluster Labels                                                           \n",
       "0                                 41.078750                  8.496034e+05\n",
       "1                                 34.613333                  1.219350e+06\n",
       "2                                 27.765000                  8.531790e+05\n",
       "3                                 51.986667                  1.262488e+06"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_merged.groupby('Cluster Labels').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "Burlington_School_House = pd.merge(pd.merge(School_Rating[['Average FI Score','Maximum FI Score', 'Minimum FI Score']], df_merged[['Average Detached House Price', 'Cluster Labels']], on='Neighborhood'), Neighborhoods.set_index('Neighborhood'), on='Neighborhood')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average FI Score</th>\n",
       "      <th>Maximum FI Score</th>\n",
       "      <th>Minimum FI Score</th>\n",
       "      <th>Average Detached House Price</th>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Aldershot</th>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>4.1</td>\n",
       "      <td>1028633</td>\n",
       "      <td>2</td>\n",
       "      <td>43.312147</td>\n",
       "      <td>-79.859771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alton Village</th>\n",
       "      <td>7.9</td>\n",
       "      <td>8.7</td>\n",
       "      <td>7.4</td>\n",
       "      <td>1004791</td>\n",
       "      <td>3</td>\n",
       "      <td>43.408200</td>\n",
       "      <td>-79.814130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brant Hills</th>\n",
       "      <td>5.9</td>\n",
       "      <td>8.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>786025</td>\n",
       "      <td>2</td>\n",
       "      <td>43.366230</td>\n",
       "      <td>-79.839933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Central (Downtown Burlington)</th>\n",
       "      <td>6.5</td>\n",
       "      <td>7.2</td>\n",
       "      <td>6.1</td>\n",
       "      <td>988647</td>\n",
       "      <td>0</td>\n",
       "      <td>43.332110</td>\n",
       "      <td>-79.805382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Corporate</th>\n",
       "      <td>7.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>5.8</td>\n",
       "      <td>904235</td>\n",
       "      <td>0</td>\n",
       "      <td>43.394038</td>\n",
       "      <td>-79.773862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dynes</th>\n",
       "      <td>6.3</td>\n",
       "      <td>7.3</td>\n",
       "      <td>4.9</td>\n",
       "      <td>838450</td>\n",
       "      <td>2</td>\n",
       "      <td>43.352015</td>\n",
       "      <td>-79.786079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Elizabeth Gardens</th>\n",
       "      <td>6.5</td>\n",
       "      <td>7.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>904235</td>\n",
       "      <td>2</td>\n",
       "      <td>43.369097</td>\n",
       "      <td>-79.739184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Headon Forest</th>\n",
       "      <td>7.1</td>\n",
       "      <td>7.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>864441</td>\n",
       "      <td>0</td>\n",
       "      <td>43.378287</td>\n",
       "      <td>-79.822473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Longmoor</th>\n",
       "      <td>7.1</td>\n",
       "      <td>8.8</td>\n",
       "      <td>4.2</td>\n",
       "      <td>826188</td>\n",
       "      <td>2</td>\n",
       "      <td>43.366607</td>\n",
       "      <td>-79.770717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Millcroft</th>\n",
       "      <td>7.5</td>\n",
       "      <td>8.1</td>\n",
       "      <td>6.7</td>\n",
       "      <td>1263668</td>\n",
       "      <td>3</td>\n",
       "      <td>43.392882</td>\n",
       "      <td>-79.806383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Mountainside</th>\n",
       "      <td>6.7</td>\n",
       "      <td>7.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>661295</td>\n",
       "      <td>0</td>\n",
       "      <td>43.352641</td>\n",
       "      <td>-79.820780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Palmer</th>\n",
       "      <td>6.6</td>\n",
       "      <td>7.7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>752409</td>\n",
       "      <td>0</td>\n",
       "      <td>43.365674</td>\n",
       "      <td>-79.804268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pinedale</th>\n",
       "      <td>6.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>6.3</td>\n",
       "      <td>814903</td>\n",
       "      <td>0</td>\n",
       "      <td>43.381542</td>\n",
       "      <td>-79.754556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plains</th>\n",
       "      <td>6.3</td>\n",
       "      <td>7.2</td>\n",
       "      <td>4.9</td>\n",
       "      <td>735543</td>\n",
       "      <td>2</td>\n",
       "      <td>43.340741</td>\n",
       "      <td>-79.814385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Roseland</th>\n",
       "      <td>7.5</td>\n",
       "      <td>8.8</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1519006</td>\n",
       "      <td>3</td>\n",
       "      <td>43.342299</td>\n",
       "      <td>-79.772537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rural Burlington</th>\n",
       "      <td>6.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1319136</td>\n",
       "      <td>1</td>\n",
       "      <td>43.414661</td>\n",
       "      <td>-79.864406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shoreacres</th>\n",
       "      <td>7.2</td>\n",
       "      <td>8.8</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1222041</td>\n",
       "      <td>1</td>\n",
       "      <td>43.356680</td>\n",
       "      <td>-79.756073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tansley</th>\n",
       "      <td>6.8</td>\n",
       "      <td>7.7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>896590</td>\n",
       "      <td>0</td>\n",
       "      <td>43.379464</td>\n",
       "      <td>-79.788639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>The Orchard</th>\n",
       "      <td>7.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>914307</td>\n",
       "      <td>0</td>\n",
       "      <td>43.407001</td>\n",
       "      <td>-79.790942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tyandaga</th>\n",
       "      <td>6.6</td>\n",
       "      <td>8.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1116873</td>\n",
       "      <td>1</td>\n",
       "      <td>43.345682</td>\n",
       "      <td>-79.846388</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               Average FI Score  Maximum FI Score  \\\n",
       "Neighborhood                                                        \n",
       "Aldershot                                   6.0               7.0   \n",
       "Alton Village                               7.9               8.7   \n",
       "Brant Hills                                 5.9               8.1   \n",
       "Central (Downtown Burlington)               6.5               7.2   \n",
       "Corporate                                   7.0               7.6   \n",
       "Dynes                                       6.3               7.3   \n",
       "Elizabeth Gardens                           6.5               7.7   \n",
       "Headon Forest                               7.1               7.8   \n",
       "Longmoor                                    7.1               8.8   \n",
       "Millcroft                                   7.5               8.1   \n",
       "Mountainside                                6.7               7.8   \n",
       "Palmer                                      6.6               7.7   \n",
       "Pinedale                                    6.8               7.7   \n",
       "Plains                                      6.3               7.2   \n",
       "Roseland                                    7.5               8.8   \n",
       "Rural Burlington                            6.4               7.4   \n",
       "Shoreacres                                  7.2               8.8   \n",
       "Tansley                                     6.8               7.7   \n",
       "The Orchard                                 7.3               8.0   \n",
       "Tyandaga                                    6.6               8.1   \n",
       "\n",
       "                               Minimum FI Score  Average Detached House Price  \\\n",
       "Neighborhood                                                                    \n",
       "Aldershot                                   4.1                       1028633   \n",
       "Alton Village                               7.4                       1004791   \n",
       "Brant Hills                                 3.7                        786025   \n",
       "Central (Downtown Burlington)               6.1                        988647   \n",
       "Corporate                                   5.8                        904235   \n",
       "Dynes                                       4.9                        838450   \n",
       "Elizabeth Gardens                           4.4                        904235   \n",
       "Headon Forest                               6.0                        864441   \n",
       "Longmoor                                    4.2                        826188   \n",
       "Millcroft                                   6.7                       1263668   \n",
       "Mountainside                                6.0                        661295   \n",
       "Palmer                                      6.0                        752409   \n",
       "Pinedale                                    6.3                        814903   \n",
       "Plains                                      4.9                        735543   \n",
       "Roseland                                    6.3                       1519006   \n",
       "Rural Burlington                            5.5                       1319136   \n",
       "Shoreacres                                  4.4                       1222041   \n",
       "Tansley                                     6.0                        896590   \n",
       "The Orchard                                 5.8                        914307   \n",
       "Tyandaga                                    5.6                       1116873   \n",
       "\n",
       "                               Cluster Labels   Latitude  Longitude  \n",
       "Neighborhood                                                         \n",
       "Aldershot                                   2  43.312147 -79.859771  \n",
       "Alton Village                               3  43.408200 -79.814130  \n",
       "Brant Hills                                 2  43.366230 -79.839933  \n",
       "Central (Downtown Burlington)               0  43.332110 -79.805382  \n",
       "Corporate                                   0  43.394038 -79.773862  \n",
       "Dynes                                       2  43.352015 -79.786079  \n",
       "Elizabeth Gardens                           2  43.369097 -79.739184  \n",
       "Headon Forest                               0  43.378287 -79.822473  \n",
       "Longmoor                                    2  43.366607 -79.770717  \n",
       "Millcroft                                   3  43.392882 -79.806383  \n",
       "Mountainside                                0  43.352641 -79.820780  \n",
       "Palmer                                      0  43.365674 -79.804268  \n",
       "Pinedale                                    0  43.381542 -79.754556  \n",
       "Plains                                      2  43.340741 -79.814385  \n",
       "Roseland                                    3  43.342299 -79.772537  \n",
       "Rural Burlington                            1  43.414661 -79.864406  \n",
       "Shoreacres                                  1  43.356680 -79.756073  \n",
       "Tansley                                     0  43.379464 -79.788639  \n",
       "The Orchard                                 0  43.407001 -79.790942  \n",
       "Tyandaga                                    1  43.345682 -79.846388  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Burlington_School_House"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "Clusters_Mean = Burlington_School_House[['Average FI Score', 'Maximum FI Score',\n",
    "       'Minimum FI Score', 'Average Detached House Price', 'Cluster Labels']].groupby('Cluster Labels').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average FI Score</th>\n",
       "      <th>Maximum FI Score</th>\n",
       "      <th>Minimum FI Score</th>\n",
       "      <th>Average Detached House Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>6.850000</td>\n",
       "      <td>7.687500</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>8.496034e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.733333</td>\n",
       "      <td>8.100000</td>\n",
       "      <td>5.166667</td>\n",
       "      <td>1.219350e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6.350000</td>\n",
       "      <td>7.683333</td>\n",
       "      <td>4.366667</td>\n",
       "      <td>8.531790e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.633333</td>\n",
       "      <td>8.533333</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>1.262488e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Average FI Score  Maximum FI Score  Minimum FI Score  \\\n",
       "Cluster Labels                                                         \n",
       "0                       6.850000          7.687500          6.000000   \n",
       "1                       6.733333          8.100000          5.166667   \n",
       "2                       6.350000          7.683333          4.366667   \n",
       "3                       7.633333          8.533333          6.800000   \n",
       "\n",
       "                Average Detached House Price  \n",
       "Cluster Labels                                \n",
       "0                               8.496034e+05  \n",
       "1                               1.219350e+06  \n",
       "2                               8.531790e+05  \n",
       "3                               1.262488e+06  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Clusters_Mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_House_Clustered = pd.merge(df_House, df_merged[['Cluster Labels']], on='Neighborhood')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average Detached House Price</th>\n",
       "      <th>Average Attached House Price</th>\n",
       "      <th>Average Condo Apartment Price</th>\n",
       "      <th>Cluster Labels</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Neighborhood</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Mountainside</th>\n",
       "      <td>661295.0</td>\n",
       "      <td>483861.0</td>\n",
       "      <td>428237.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Plains</th>\n",
       "      <td>735543.0</td>\n",
       "      <td>597244.0</td>\n",
       "      <td>470178.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Palmer</th>\n",
       "      <td>752409.0</td>\n",
       "      <td>523383.0</td>\n",
       "      <td>403439.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brant Hills</th>\n",
       "      <td>786025.0</td>\n",
       "      <td>551008.0</td>\n",
       "      <td>438629.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pinedale</th>\n",
       "      <td>814903.0</td>\n",
       "      <td>581251.0</td>\n",
       "      <td>485637.0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Average Detached House Price  Average Attached House Price  \\\n",
       "Neighborhood                                                               \n",
       "Mountainside                      661295.0                      483861.0   \n",
       "Plains                            735543.0                      597244.0   \n",
       "Palmer                            752409.0                      523383.0   \n",
       "Brant Hills                       786025.0                      551008.0   \n",
       "Pinedale                          814903.0                      581251.0   \n",
       "\n",
       "              Average Condo Apartment Price  Cluster Labels  \n",
       "Neighborhood                                                 \n",
       "Mountainside                       428237.0               0  \n",
       "Plains                             470178.0               2  \n",
       "Palmer                             403439.0               0  \n",
       "Brant Hills                        438629.0               2  \n",
       "Pinedale                           485637.0               0  "
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_House_Clustered.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "HouseClusters_Mean = df_House_Clustered[['Average Detached House Price', 'Average Attached House Price', 'Average Condo Apartment Price', 'Cluster Labels']].groupby('Cluster Labels').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Average Detached House Price</th>\n",
       "      <th>Average Attached House Price</th>\n",
       "      <th>Average Condo Apartment Price</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cluster Labels</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>8.496034e+05</td>\n",
       "      <td>601652.750000</td>\n",
       "      <td>458885.375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1.219350e+06</td>\n",
       "      <td>560981.500000</td>\n",
       "      <td>444167.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8.531790e+05</td>\n",
       "      <td>573667.166667</td>\n",
       "      <td>449817.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.262488e+06</td>\n",
       "      <td>676875.666667</td>\n",
       "      <td>436179.000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Average Detached House Price  Average Attached House Price  \\\n",
       "Cluster Labels                                                               \n",
       "0                               8.496034e+05                 601652.750000   \n",
       "1                               1.219350e+06                 560981.500000   \n",
       "2                               8.531790e+05                 573667.166667   \n",
       "3                               1.262488e+06                 676875.666667   \n",
       "\n",
       "                Average Condo Apartment Price  \n",
       "Cluster Labels                                 \n",
       "0                                  458885.375  \n",
       "1                                  444167.000  \n",
       "2                                  449817.000  \n",
       "3                                  436179.000  "
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HouseClusters_Mean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Color_List = ['#003f5c', '#bc5090', '#ffa600']\n",
    "ax = Clusters_Mean[['Average FI Score', 'Maximum FI Score', 'Minimum FI Score']].plot(kind='bar', color=Color_List, figsize=(10,6), width = 0.8)\n",
    "ax.set_title(\"School Performance Score Over Each Neighborhood Cluster\", fontsize=14)\n",
    "\n",
    "ax.tick_params(labelsize=14, rotation=0)\n",
    "ax.legend(['Average', 'Maximum', 'Minimum'], fontsize=14, frameon=False)\n",
    "#ax.spines[\"top\"].set_visible(False)\n",
    "#ax.spines[\"right\"].set_visible(False)\n",
    "#ax.spines[\"left\"].set_visible(False)\n",
    "ax.set_yticks([])\n",
    "ax.set_ylim(0,12)\n",
    "ax.set_xlabel('Cluster Label', fontsize=14)\n",
    "#ax.set_xticklabels(Clusters_Mean['Cluster Labels'], Rotation=0 ) \n",
    "\n",
    "\n",
    "\n",
    "# set individual bar lables using above list\n",
    "#for i in ax.patches:\n",
    "    # get_x pulls left or right; get_height pushes up or down\n",
    " #   ax.text(i.get_x(), i.get_height()+1, \\\n",
    "  #          str(round((i.get_height()/total)*100, 2))+'%', fontsize=14,\n",
    "   #             color='black')\n",
    "\n",
    "for i in ax.patches:\n",
    "    y=i.get_height()\n",
    "    x=i.get_x()+i.get_width()/2\n",
    "    label = \"{:.2}\".format(y)\n",
    "    ax.annotate(label, xy=(x+0.02,y+0.1), ha='center', fontsize=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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NXHYhcHJ4S7wTAX72bdMm4N4065fDO6M19TXQJs17dhre6zMJ2In3I65sdvtYtwvnZr4nWuRPzzd/ZxfwL+fcmJzqi5wvZrYG+No59/9yrCwi+Yomh8uflm/4vR7eGUvheNePCcc7008kX/AdBroR79IehfBOy2/s+ysifzJKnOTP7lG8i9elng7fynlzdkTyixS8uUj/wjuctRnvEFNstmuJSL6kQ3UiIiIiQdJZdSIiIiJBUuIkIiIiEqRzMsepbNmyLjIy8lx0JSIiInJWvv/++yPOuXKZlZ2TxCkyMpLYWM2DFBERkfzPzLL87xY6VCciIiISJCVOIiIiIkFS4iQiIiISJCVOIiIiIkFS4iQiIiISJCVOIiIiIkFS4iQiIiISJCVOIiIiIkFS4iQiIiISJCVOIiIiIkFS4iQiIiISpHPyv+pEROTiYm26n9P+XMzb57S/c2X48OHMnTuXTZs25XrbYWFhvPHGG/Ts2TPX276QacRJREQuSj179sTMMDMKFy5M+fLladu2LePGjePUqVNn1FZMTAxmxpEjR/Io2nNv+PDhNGjQIMPyI0eOYGbExMSc+6DyASVOIiJy0Wrfvj0JCQnEx8fz+eefEx0dzbBhw7juuus4duzY+Q5P8iElTiIictEKCQmhYsWKVK5cmcsvv5xHH32UmJgY1qxZw6hRo/z1Tp48yeDBg6lSpQrFixenefPmLFq0CID4+Hjatm0LQLly5TAz/+GvhQsXct1111GqVClKly7NjTfeSFxcXEAM+/fvp1u3bpQpU4ZixYpx+eWX88UXXwTUee+996hVqxbh4eHccsstGUa2pk2bRlRUFKGhodStW5dXXnmFlJQUf/m2bdto06YNoaGhXHrppXz66ae5tg8BNm7cSPv27SlatCilS5emZ8+e/Prrr/7ynj17ctNNNwWsk35Ea+PGjVx//fVccsklhIeH07hx44D9sHnzZjp16kR4eDjly5ena9euHDhwIFe3IxhKnERERNJo0KABHTt25MMPP/Qvu/fee1m+fDmzZs1i48aN9OjRg+joaNavX0/VqlX9dX/44QcSEhJ49dVXATh27BgDBgxg9erVxMTEUKJECaKjozl58qS/vHXr1sTHxzNv3jw2btzIM888ExBPfHw8c+bMYd68eXz++eesXbuWoUOH+ssnT57Mk08+ybPPPktcXBxjxoxh5MiRjB8/HoCUlBQ6d+5MSkoKK1euZOrUqQwfPpykpKRc2V/Hjx+nY8eOhIWFsXr1aubNm8c333zDfffdd0bt3H333URERLB69WrWrl3L8OHDCQ0NBSAhIYFWrVrRoEEDVq9ezZIlS0hMTOTmm28OSBDPBU0OFxERSScqKoolS5YAsH37dmbPnk18fDzVqlUDoF+/fixZsoQ333yT8ePHU7p0aQDKly9P2bJl/e106dIloN1p06ZxySWXsHr1alq2bMmsWbM4cOAAK1eu9K9Xq1atgHVOnz7N9OnTKVGiBAAPPPAA06ZN85c/99xzjBo1ittuuw2AGjVq8MQTTzB+/Hh/nJs3b2bnzp3++MeOHct1112X436Ii4sjLCws2zrvvvsuiYmJvP3224SHhwMwadIk2rZty7Zt26hdu3aO/QDs2rWLgQMHctlllwEErDdhwgQaN27MyJEj/ctmzpxJ6dKliY2N5corrwyqj9ygxElERCQd5xxmBsCaNWtwzhEVFRVQJykpiXbt2mXbzvbt23n66adZtWoVhw8fJiUlhZSUFHbv3g3A2rVradSoUUCylV716tX9SRNApUqVOHToEACHDx9mz5499O7dmz59+vjrnD59Gucc4CU/lStX9idNAFdddRUFCuR80KlWrVp89tlnAcv++9//BiQqcXFxNGrUyJ80AbRo0YICBQqwefPmoBOnRx99lPvvv58ZM2Zw/fXX06VLF38S9f333/Pll19mmsRt375diZOIiMj5tHnzZmrWrAl4h7rMjO+++47ChQsH1CtatGi27URHR1O5cmXefPNNKleuTKFChYiKivIfqktNbrKTvk8z8x+eSv07ceJEWrRoken6wfSRlSJFimRIfNLPr0qbZKaXurxAgQIZ4kh/5uLw4cPp1q0bCxYsYNGiRfzzn/9k4sSJ3HfffaSkpNCpUydGjx6doY8KFSqc8XadDSVOIiIiaWzatImFCxfy1FNPAdCkSROccxw4cMA/CTy9IkWKAJCcnOxf9vPPPxMXF8e4ceP8661Zs4bTp0/76zRt2pR33nmHI0eOZDvqlJUKFSpQuXJltm/fzj333JNpnaioKPbt28eePXuoWrUqAKtXr861uUFRUVFMnTqV3377zT/q9M0335CSkkK9evUAb9L8unXrAtZL/xigTp061KlTh4cffpg+ffowZcoU7rvvPpo2bcr7779P9erVMySS55omh4uIyEUrKSmJAwcOsH//ftavX8/LL79MmzZtuOKKKxg4cCAAdevWpVu3bvTs2ZO5c+eyY8cOYmNjGT16NB999BHgHU4zM+bPn8/hw4dJTEykVKlSlC1blsmTJ7Nt2zaWL1/Ogw8+SKFC/xuzuPvuuylfvjy33HILX331FTt37uTf//53hrPqsjN8+HBGjRrFK6+8wpYtW9i0aRMzZ85kxIgRgHfJhcsuu4x77rmHdevWsXLlSh555JGAOM5Gt27dKF68OPfccw8bN27kyy+/pHfv3tx6663+0ap27dqxdu1apk6dyrZt2xg1ahRff/21v40TJ07w0EMPERMTQ3x8PKtWrWLFihX+w6MPPfQQv/76K3feeSerVq1ix44dLFmyhAceeIDffvstV7YjaM65PL9dccUVTkREJD/p0aOHAxzgChYs6MqUKeNat27tXnvtNZeUlBRQ9+TJk27YsGGuRo0arnDhwq5ChQouOjraxcbG+us8++yzrmLFis7MXI8ePZxzzi1dutTVr1/fhYSEuPr167uFCxe64sWLu2nTpvnX27Nnj7vjjjtciRIlXNGiRd3ll1/uvvjiC+ecc8OGDXP169cPiGXatGmuePHiActmzZrlmjRp4kJCQlzJkiXdtdde62bPnu0v37Jli2vVqpUrUqSIq127tvvkk08yxJFeZn0759zhw4cd4I/ROec2bNjg2rVr50JDQ13JkiVdjx493NGjRzO0V7FiRXfJJZe4Pn36uCFDhvjbT0pKcl27dnXVqlVzRYoUcREREa5Xr17u119/9a+/detW16VLF1eyZEkXGhrq6tat6/r165fhucoNQKzLIqcxdxbHPoPVrFkzFxsbm+f9iIiIiJwtM/veOdcsszIdqhMREREJkhInERERkSApcRIREREJkhInERERkSApcRIREREJkhInERERkSApcRIREREJkhInERERkSApcRIREREJkv7Jr4iI5LqlnV89p/1dP6//Oe0vL8THx1OjRg2+++47mjXL9KLVf1i/fv3YtGkTMTExudruxUgjTiIiclFbu3YtBQsW5Nprr81QNn36dMLCwjIsj4yMZPTo0ecivHMiPj4eMyOzf49200030bNnz3MfVD6lxElERC5qkydPpm/fvmzatIm4uLjzHY7kc0qcRETkonXixAlmzZpFr169uO2223jrrbf8ZTExMdx7770cO3YMM8PMGD58OG3atGHXrl0MGjTIvxzg559/pmvXrlSpUoWiRYtSv359pk2bFtCfc44xY8ZQp04dQkJCqFKlCkOGDAmos2vXLjp06ECxYsWIiopi8eLFAeWbN2+mU6dOhIeHU758ebp27cqBAwf85cnJyQwcOJBSpUpRqlQpBgwYQHJycq7ts6SkJAYMGECFChUIDQ3l6quvZsWKFQH7zcw4cuSIf1n6Ea1Tp07x8MMPU6lSJUJCQqhatSpPPPGEv/7JkycZPHgwVapUoXjx4jRv3pxFixbl2jacDSVOIiJy0Zo7dy7Vq1enUaNGdO/enZkzZ3Lq1CkAWrRowdixYylWrBgJCQkkJCQwcOBAPvroI6pUqcIzzzzjXw7w+++/07RpUz799FN++OEH+vfvT+/evVm6dKm/vyeffJLnnnuOIUOG8MMPP/DBBx9QtWrVgJiGDh3Kww8/zPr162nevDl33XUXiYmJACQkJNCqVSsaNGjA6tWrWbJkCYmJidx8882kpKQAMGbMGCZPnsybb77JypUrSU5O5t133821ffb4448zZ84cpk6dytq1a2nYsCEdO3b074dgvPbaa8ybN4/33nuPn376iTlz5nDppZf6y++9916WL1/OrFmz2LhxIz169CA6Opr169fn2nb8UZocLiIiF60pU6bQvXt3AFq3bk2xYsX497//TZcuXShSpAglSpTAzKhYsWLAegULFiQ8PDxgeeXKlRk0aJD/8QMPPMCyZcuYPXs2119/PYmJibzyyiuMHTuW++67D4DatWtzzTXXBLT9yCOPEB0dDcCLL77IzJkzWbduHS1btmTChAk0btyYkSNH+uvPnDmT0qVLExsby5VXXsnYsWN5/PHHueOOOwB49dVXgx6tadWqFQUKBI6p/P777/z9738H4NixY0yYMIEpU6bQqVMnACZOnMiyZcsYN24czz//fFD97Nq1i7p163LddddhZlSrVo0WLVoAsH37dmbPnk18fDzVqlUDvMntS5Ys4c0332T8+PFB9ZFXlDiJiMhFadu2bXz99dfMnj0bADOjW7duTJkyhS5dupxxe8nJybz00kvMmTOHffv2kZSUxMmTJ2nTpg3gHWJLSkri+uuvz7adRo0a+e9XqlQJgEOHDgHw/fff8+WXX2Y6YX379u1ceumlJCQkBCRjBQoU4KqrrmLPnj05bsOsWbNo0KBBwLIHHnggoI9Tp04FTKQvWLAg11xzDZs3b86x/VQ9e/akQ4cO1K1blxtuuIG//vWv/OUvf6FAgQKsWbMG5xxRUVEB6yQlJdGuXbug+8grSpxEROSiNGXKFJKTk/2jGuDNQQLYs2dPhkNoORk9ejRjxozh1VdfpWHDhoSFhfHkk0/6k57UtnNSuHBh//3U+VOph+FSUlLo1KlTpmf0VahQwV/vj6pSpQq1a9cOWFasWDH//dRtSI0rrdRlqSNWabc39fBnqqZNmxIfH8/ChQtZtmwZPXr0oHHjxixevJiUlBTMjO+++y5gXwAULVr0LLYudyhxEhGRi87p06eZMWMGI0aM4Kabbgoo6969O9OmTeOZZ56hSJEimU6szmz5ihUriI6O9h/6c86xdetWSpYsCUBUVBQhISEsXbqUOnXq/KG4mzZtyvvvv0/16tUzJBWpIiIi+Pbbb/2jM845Vq9eTURExB/qM63atWtTpEgRVqxYQc2aNQFvpG3lypXcfffdAJQrVw7w5mOl3l+3bl2GtsLDw7n99tu5/fbb6dmzJ1dffTXbtm2jSZMmOOc4cOAAbdu2PeuYc5smh4uIyEVn/vz5HDlyhF69etGgQYOA21133cXUqVNJSUkhMjKS33//ncWLF3PkyBGOHz8OeNdx+uqrr9i3b5//7LG6deuydOlSVqxYwY8//ki/fv3YuXOnv8/w8HD69+/PkCFDmDZtGtu3b2f16tVMmDAh6Lgfeughfv31V+68805WrVrFjh07WLJkCQ888AC//fYbAP3792fUqFHMnTuXLVu2MGDAgDOauJ2d4sWL06dPH5544gk+++wz4uLi6NOnDwcPHqRv376Al1xVrVqV4cOHs3XrVj7//PMMc59efvllZs+eTVxcHNu2bWPWrFlccsklVKlShbp169KtWzd69uzJ3Llz2bFjB7GxsYwePZqPPvooV7bjrDjn8vx2xRVXOBERkfwiOjradejQIdOy7du3O8AtWrTIOefcgw8+6MqUKeMAN2zYMOeccytXrnSNGjVyISEhzvsqde6XX35xnTt3dmFhYa5cuXJu0KBBrk+fPq5169b+tpOTk92IESNcjRo1XOHChV2VKlXck08+6ZxzbufOnQ5w3333XUA8gPvggw/8j7du3eq6dOniSpYs6UJDQ13dunVdv379XFJSknPOuVOnTrkBAwa4EiVKuBIlSrh+/fq5Bx98MCCO9LLq2znnOnXq5Hr06OF//Pvvv7v+/fu78uXLuyJFirirrrrKfX9jpUUAACAASURBVPXVVwHrfP31165x48YuNDTUXX311e7TTz8NaH/SpEmuSZMmLiwszIWHh7tWrVq5r7/+2r/+yZMn3bBhw/z7qUKFCi46OtrFxsZmuQ25CYh1WeQ05oI85no2mjVr5jK7GqmIiIhIfmNm3zvnMv2/NzpUJyIiIhIkJU4iIiIiQVLiJCIiIhIkJU4iIiIiQVLiJCIiIhIkJU4iIiIiQVLiJCIiIhIkJU4iIiIiQVLiJCIiIhIk/ZNfERHJfbPt3PbXNe//C0Zu69evH5s2bSImJuZ8hyJnQCNOIiJy0Tp48CD9+/enVq1ahISEULlyZf7yl7/w2Wefne/QzsjatWspWLAg11577TnvOzIyktGjR5/zfrMSExODmfn/+XJuU+IkIiIXpfj4eJo2bcqiRYsYMWIEGzZsYMmSJXTq1IkHH3zwfId3RiZPnkzfvn3ZtGkTcXFx56TPkydPnpN+8hslTiIiclHq27cvzjliY2O54447uPTSS6lXrx79+vVj/fr1/nq7d++mc+fOhIeHEx4ezq233srevXv95cOHD6dBgwa899571KpVi/DwcG655ZaAEY/k5GQGDhxIqVKlKFWqFAMGDCA5OTkgnqSkJAYMGECFChUIDQ3l6quvZsWKFTlux4kTJ5g1axa9evXitttu46233gooj4+Px8yYNWsWLVu2JDQ0lMsuu4zPP/88IL5//OMf1KhRg6JFi1KnTh1GjRpFSkqKv07Pnj256aabGDlyJFWqVKFKlSq0adOGXbt2MWjQIMwMM+8Q7fTp0wkLC2PBggVcdtllFCtWjJtvvplff/2VuXPnUqdOHUqUKEH37t05ceKEvw/nHKNGjaJWrVoULVqUhg0b8s4772TYlg8//JAOHTpQrFgxoqKiWLx4sb+8bdu2AJQrVw4zo2fPnjnuwzOhxElERC46v/zyCwsXLqRfv36EhYVlKC9VqhTgfZHfcsstHDx4kGXLlvHFF1+wf/9+brnlFpz737yq+Ph45syZw7x58/j8889Zu3YtQ4cO9ZePGTOGyZMn8+abb7Jy5UqSk5N59913A/p8/PHHmTNnDlOnTmXt2rU0bNiQjh07kpCQkO22zJ07l+rVq9OoUSO6d+/OzJkzOXXqVIZ6jz/+OA8//DDr1q2jQ4cO/O1vf2Pfvn0ApKSkULlyZd5//33i4uJ44YUXePHFF5k2bVpAG8uXL2fDhg0sXLiQpUuX8tFHH1GlShWeeeYZEhISAmJNSkpizJgxvPvuuyxdupTY2Fhuu+02ZsyYwYcffsjHH3/Mp59+yvjx4/3rPPXUU7z11luMGzeOzZs3M2TIEHr37s38+fMD4hg6dCgPP/ww69evp3nz5tx1110kJiZStWpVPvzwQwB++OEHEhISePXVV7Pdf2fMOZfntyuuuMKJiMhFZBbn9naGVq1a5QD30UcfZVvv888/dwUKFHA7d+70L9u+fbszM7d48WLnnHPDhg1zISEh7ujRo/46zz//vKtVq5b/cUREhHv++ef9j5OTk12dOnVc69atnXPOJSYmusKFC7sZM2b465w+fdrVrFnTDR06NNsYW7Vq5f71r38555xLSUlx1atXd3PnzvWX79y50wGZ9p9d24MHD3bXX3+9/3GPHj1c2bJl3e+//x5Qr3r16v7+U02bNs0B7scff/Qve+yxx1yBAgXc4cOHA9rs1KmTfx+Ehoa6L7/8MqCt/v37u7/85S8B2zJx4kR/+d69ex3gvvrqK+ecc1988YUDAvo5U0CsyyKn0YiTiIhcdJwL7iy8uLg4KlWqRGRkpH9ZzZo1qVSpEps3b/Yvq169OiVKlPA/rlSpEocOHQLg119/JSEhgWuuucZfXqBAAa666ir/4+3bt3Pq1KmAyd0FCxbkmmuuCegnvW3btvH1119z9913A2BmdOvWjSlTpmSom1n/adueOHEizZo1o1y5coSFhfHKK6+we/fugDYaNGhASEhIlvGkFRISwqWXXup/XKFCBSpWrEjZsmUDlqXup82bN/P777/TsWNHwsLC/LcJEyawffv2gLYbNWrkv1+pUiUAfzt5TZcjEBGRi06dOnUwM+Li4ujcuXOW9Zxz/nk76aVdXrhw4QxlaecH5SQ1kcusr6z6B5gyZQrJyclUq1YtQ1t79uyhatWqQfU/Z84cBgwYwOjRo2nRogWXXHIJ48aNY968eQH1ihcvHlR7AIUKBaYYZpbtfkr9+5///CdgeyDj/k37OHX/nMn+PhsacRIRkYtO6dKlufHGG3njjTdITEzMUH706FEAoqKi2LdvH/Hx8f6yHTt2sH//fqKiooLqq0SJEkRERPDtt9/6lznnWL16tf9x7dq1KVKkSMBk8OTkZFauXJllP6dPn2bGjBmMGDGCdevW+W/r16+nUaNGGeYnZdZ/vXr1AFixYgVXXXUV/fr1o2nTptSuXTvDKE9WihQpkmGi+x8RFRVFSEgIu3btonbt2gG36tWrB91OkSJFAHIlpswocRIRkYvS+PHjcc7RrFkzPvjgA7Zs2cKPP/7IhAkT/IeC2rdvT+PGjenWrRvff/89sbGxdOvWjaZNm9KuXbug++rfvz+jRo1i7ty5bNmyhQEDBgRMpC5evDh9+vThiSee4LPPPiMuLo4+ffpw8OBB+vbtm2mb8+fP58iRI/Tq1YsGDRoE3O666y6mTp0aMAozYcKEgP537dpFnz59AKhbty5r1qxhwYIF/PTTTzz33HMsX748qG2LjIzkq6++Yt++fWd17aTw8HAGDhzIwIEDmTp1Ktu2bWPdunVMnDiRSZMmBd1O9erVMTPmz5/P4cOHM02Mz4YO1YmISO77E1zJu0aNGqxZs4YXX3yRwYMHs2/fPsqUKUPjxo158803Ae8w0Mcff8zDDz9MmzZtAC+Zev3117M9hJbeY489xoEDB7j//vsB6N69O926dQu45tLIkSMBuPfeezl69ChNmjRh4cKFREREZNrmW2+9Rdu2bSlTpkyGsttvv50nnniCJUuWULduXQBeeuklXn75ZdasWUP16tWZN28eVapUAaB3796sW7eOu+++G+ccXbp04bHHHmPq1Kk5btuzzz5L7969qVWrFklJSUHPH8vMc889R4UKFRg9ejR9+vThkksu4fLLL+fxxx8Puo3KlSvzz3/+k6FDh3L//fdzzz33MH369D8cU3p2NhsYrGbNmrnY2Ng870dEREQCxcfHU6NGDb777juaNWt2vsP5UzCz751zme4sHaoTERERCZISJxEREZEgaY6TiIjIBSwyMvKs5h1JII04iYiIiARJiZOIiIhIkJQ4iYiIiARJiZOIiIhIkJQ4iYiIiARJiZOIiIhIkJQ4iYiIiARJiZOIiIhIkJQ4iYiIiARJiZOIiIhIkJQ4iYiIiARJiZOIiIhIkJQ4iYiIiARJiZOIiIhIkJQ4iYiIiARJiZOIiFz0vvzyS26++WYqV66MmTF9+nR/2alTpxg8eDCNGjWiePHiREREcPfdd7N79+4M7axevZoOHToQFhZGeHg4LVq04MiRIwDEx8fzj3/8g5o1a1K0aFFq1qzJkCFDOHHixLnaTMkFSpxEROSil5iYSIMGDXj11VcpWrRoQNnx48dZs2YNQ4cOZc2aNXzyySfs2bOHjh07cvr0aX+9VatWccMNN9CmTRu+/fZbvv/+ewYOHEjhwoUB+PHHH0lOTmbChAn88MMPvP7668ycOZP+/fuf022Vs2POuTzvpFmzZi42NjbP+xERETlbYWFhvPHGG/Ts2TPLOps3b6Z+/fps2LCBhg0bAtCiRQvatm3LCy+8EHRf48eP5+mnn+bnn38+27AlF5nZ9865ZpmVacRJRETkDP3f//0fAKVKlQLg0KFDrFy5koiICFq2bEmFChW47rrrWLp0aY7tpLYhfw5KnERERM7AyZMneeyxx4iOjqZKlSoA7NixA4Bhw4Zx3333sXDhQq677jpuvPFG1q9fn2k7u3fvZvTo0fTt2/ecxS5nr9D5DkBEROTP4vTp0/z973/n6NGj/Pvf//YvT0lJAaB3797cd999ADRp0oSYmBgmTpzIhAkTAto5ePAgN954Ix06dOCRRx45dxsgZ02Jk4iISBBOnz5N165d2bhxIzExMZQpU8ZfFhERAUBUVFTAOvXq1ctw9t2BAwdo164dDRo04O2338bM8j54yTU6VCciIpKDU6dOceedd7Jhwwa++OILKlasGFAeGRlJpUqV2LJlS8DyrVu3Ur16df/jhIQE2rRpQ7169Zg9ezaFCmn84s9GiZNctHLjui2TJk2ibdu2lCxZEjMjPj4+Qz9r1qyhQ4cOlCxZkjJlyvDAAw+QmJiYx1snImciMTGRdevWsW7dOlJSUti9ezfr1q1j9+7dnD59mttvv51vv/2W2bNnY2YcOHCAAwcO+K/BZGYMGjSI1157jQ8++IBt27bx4osv8u2339K7d28A9u/fT+vWralYsSJjx47lyJEj/naSk5PP5+bLGVDiJBet3Lhuy/Hjx7nhhhsYPnx4pn3s37+f9u3bU7NmTVatWsXChQv54Ycfsj3NWUTOvdjYWJo0aUKTJk04ceIEw4YNo0mTJjzzzDPs3buXTz75hP3793PFFVcQERHhv82ZM8ffxoABAxg6dCiPPfYYjRs35uOPP2bBggU0btwYgM8//5yffvqJ5cuXU61atYB29uzZc742Xc6QruMkwh+/bkuq2NhYmjdvzs6dO4mMjPQvnzRpEk8++SQHDx6kYMGCAGzcuJFGjRrx008/Ubt27bzYHBEROQu6jpNILkh/3ZZgJCUlUbhwYX/SBPhHt1asWJG7AYqISJ7TrDSRIGR23ZZgtGvXjkcffZSXXnqJRx99lGPHjvHEE08A3iRRETk/rE338x2Cn4t5+3yHIGdAI04iOUh73ZZp06ad0br169dnxowZjB07lmLFilGxYkVq1KhBhQoVAkahRETkz0GJk0g2Uq/bsmHDBpYuXRpw3ZZg3X333Rw4cIB9+/bx888/M3z4cA4fPkyNGjXyIGIREclLOlQnkoVTp05x1113sWnTJmJiYjJct+VMVahQAYCpU6cSGhpKhw4dciNMERE5h5Q4yUUrMTGRbdu2AQRct6V06dJUqlSJ22+/ne+++47//Oc//uu2AJQoUcI/wTv1Gixbt24FvDPvjh49SrVq1ShdujQAb7zxBi1atCAsLIzFixczaNAgXnrpJUqWLHketlpERM6GLkcgF62YmBjatm2bYXmPHj0YPnx4lofSpk2b5r9swfDhw/nnP/+ZbZ177rmH+fPnk5iYyGWXXcbAgQPp3j3/TEwVuRhpcrhkJ7vLEShxEhGRi44SJ8mOruMkIiIikgs0x0kuGvqFKSIiZ0sjTiIiIiJBUuIkIiIiEiQlTiIiIiJBUuIkIiIiEiQlTiIiIiJBUuIkIiIiEiQlTiIiIiJBUuIkIiIiEiQlTiIiIiJBUuIkIiIiEiQlTiIiIiJBUuIkIiIiEiQlTiIiIiJBKhRsRTO7BGgP1AQcsANY4pz7LY9iExEREclXgkqczOwOYCJQMl3RUTPr7Zz7INcjExEREclncjxUZ2YNgXeABcAVQFGgGNAcWAS846sjIiIickELZo7Tw8AC51w359xa51ySc+5359z3zrmuwEJfHREREZELWjCJ03XAhGzKJ/jqiIiIiFzQgkmcKgNx2ZT/CFTJnXBERERE8q9gEqfiwIlsyk/gzXsSERERuaAFezmCRmb2SxZlZXMrGBEREZH8LNjEaRFg2ZS7XIhFREREJF8LJnGqkedRiIiIiPwJ5Jg4Oed25VTHzGrnTjgiIiIi+dcf/l91ZhZqZn83s+XAllyMSURERCRfOuPEycyamNk4YD/wL+AHvP9hJyIiInJBC/Z/1ZUAugG9gNrAJ0A40NI5tznvwhMRERHJP4L5X3VvA3uBW4GxQEXn3N/zOjARERGR/CaYEaeuwEhgtHPuv3kcj4iIiEi+FcwcpzuAy4G9ZjbPzDqbWeE8jktEREQk38kxcXLOfeSc6wRcCqwBRgMHfOs2MbPsLowpIiIicsEI+qw659xe59xzzrlawJ3AB8AU4ICZTcirAEVERETyi2D/5UoA59wSYImZlQLuAe7L1ahERERE8qGgRpzMrJqZFcmk6BgwD28OlIiIiMgFLZjLEdwFfJZVMTAfuC03gxIRERHJj4IZcXoA+Jdz7mT6AudcEjAK6JPbgYmIiIjkN8EkTvWAFdmUfwNE5U44IiIiIvlXMIlTCSCz+U2pQoBLciccERERkfwrmMRpJ9A8m/IrgfhciUZEREQkHwsmcfoIeMHMItIXmFkl4Dngw9wOTERERCS/CeY6TiOBzsBWM3sH+NG3vB7QDdiNN0FcRERE5IKWY+LknEs0s2uBEXhXDC/lK/ov8DbwpHPut7wLUURERCR/COrK4c65X4G+ZvYQUBbv+k2HnXMuL4MTERERyU/O6F+u+BKlw3kUi4iIiEi+FvQ/+RURERG52ClxEhEREQmSEicRERGRIClxEhEREQlS0JPDzSwUuAaIBIriTRJf45zbnjehiYiIiOQvOSZOvms49QeigcLAr8AJoDQQYmY7gEnARF3PSURERC5k2R6qM7NPgPeBXcANQLhzroxzropzrhhQB3geuB7vyuId8jpgERERkfMlpxGnz4HbnXMnMyt0zu0AdgAzzKw+UCmX4xMRERHJN7JNnJxz44JtyDn3A/DDWUckIiIikk8FfVadmYWZWWszu9PM7vDdD8vL4EREzrXk5GSefvppatSoQWhoKDVq1OCpp57i9OnT/jo9e/bEzAJuV199dUA7vXr1olatWhQtWpRy5crxt7/9jbi4uHO9OSKSy3JMnMyskJm9ChwCvgDeAd713T9kZmPNrHDehpm3gvmgTOuBBx7AzBg9enTA8u3bt9O5c2fKlSvHJZdcwh133MHBgwfPxSaISC4ZOXIk48aN47XXXuPHH3/k1VdfZdy4cYwYMSKgXvv27UlISPDfPvvss4DyZs2aMX36dOLi4li0aBHOOdq3b8+pU6fO5eaISC4L5nIEY4DbgF7AIufcEQAzK4s3YXyUr96APInwHEj9oJwxYwYNGzZkw4YN9OjRg5CQEJ5++umAunPnzuW7776jUqXA6VzHjh3jhhtuoGHDhixduhQz4+mnnyY6Oppvv/2WAgV0ySyRP4NvvvmG6OhooqOjAYiMjOTmm29m1apVAfVCQkKoWLFilu307t3bfz8yMpLnn3+exo0bs2PHDi699NK8CV5E8lww3+Z3A/c4595NTZoAnHNHnHOzgJ5AtzyK75xI+0GZ+iGZ2Qflrl276N+/P7NmzaJw4cBBtq+//pqdO3cybdo0GjVqRMOGDZkxYwaxsbEsW7bsXG6OiJyFli1b8sUXX/Djjz8CsHnzZpYtW8Zf//rXgHorVqygfPny1K1bl169enHo0KEs2zx27BjTpk2jWrVqREZG5mX4IpLHgkmcigJHsik/4qvzpxXMB+Xp06fp2rUrTz31FPXq1cvQRlJSEmZGaGiof1loaCgFChRgxYoVeb8RIpIrBg8eTPfu3YmKiqJw4cLUr1+fHj160LdvX3+djh07MnPmTJYuXcqYMWNYvXo17dq1IykpKaCt8ePHExYWRlhYGAsWLGDp0qWEhISc600SkVwUTOL0BfCKmWW41IBv2WjgTz2kEswH5bBhwyhTpgx9+vTJtI2rr76asLAwBg0axLFjxzh27BgDBw4kOTmZhISEc7UpInKW5syZw8yZM5k1axZr1qxh5syZjB8/nrfeestf56677uLmm2+mYcOGREdHs2DBArZs2cL8+fMD2urWrRtr165l+fLl1K1bl9tvv53jx4+f600SkVwUTOLUFygH7DazjWa2xMwWm9lGYLevrG+2LeRzOX1QLl++nOnTpzN16tQs2yhXrhwffPABCxYsIDw8nBIlSnD06FGaNm1KwYIFz9WmiMhZGjRoEAMHDuSuu+6iYcOGdO/enUcffTTD5PC0KlWqRJUqVfjpp58ClpcoUYI6derQqlUr5s6dy9atW/nwww/zehNEJA/lODncObfHzBoDNwJXA6mzIb8BVgKfO+dS8i7EvJf2gxKgYcOG7Nq1ixEjRvCPf/yDL774goSEBCIiIvzrJCcnM3jwYMaOHcvevXsBuOGGG9i+fTtHjhyhUKFClCxZkooVK1KjRo3zsl0icuaOHz+e4cdOwYIFSUnJ+mPuyJEj7Nu3L+AzIj3nHM65DIfzROTPJah/8utLjBb4bhecnD4o+/bty2233RZQfuONN9K1a1d69eqVob2yZcsCsGzZMg4dOsTNN9+cR5GLSG6Ljo7mpZdeokaNGtSvX5+1a9fy8ssvc8899wCQmJjI8OHD6dKlCxEREcTHxzNkyBDKly9P586dAdi2bRsffvgh7du3p1y5cuzdu5eXXnqJkJAQbrrppvO5eSJyloJKnMzMgPZAC7wRJwccBL4GljrnXJ5FeA7k9EFZvnx5ypcvH7BO4cKFqVixYsBpxdOmTeOyyy6jfPnyrFy5kv79+/PII4/o1GORP5HXX3+dp59+mr59+3Lo0CEiIiLo1asXzzzzDOD9qNq4cSMzZ87k6NGjRERE0LZtW95//33Cw8MB71IFMTExjBkzhqNHj1KhQgVatWrFypUrs72EgYjkfzkmTmZWGfgUaATE4SVMBrQCngHWmdnNzrl9eRloXsrpgzJYW7ZsYciQIfzyyy9ERkYydOhQHnnkkTyKWkTyQnh4OGPHjmXs2LGZlhctWpRFixZl20bVqlVZsOCCHKAXuehZToNFZvYJcAnQ3Tm3N11ZFWAm8H/OuVuyaqNZs2YuNjY2F8IV+eOsTffzHYKfi3n7fIcgclHT54Fkx8y+d841y6wsmEN11wMt0ydNAM65vWb2GPDVWcYoInJO6AtTRM5GMInTCaB0NuWlfXXytfzyYakPShERkT+vYK7j9B4w08zuMrMyqQvNrIyZ3QVMB2blUXwiIiIi+UYwI06P+erNAAqZWbJveUHgNPAWMChvwhMRERHJP4K5AOZJoI+ZDQaaARV8RQeA751z/5eH8YmIiIjkG0FdxwnAlyD9qf8nnYiIiMjZCPYCmFWAPmS8AOY3wETn3J48i1BEREQkn8hxcriZtcS78OXtwA94E8Hf892/DfjBzK7NyyBFRERE8oNgRpzGAtOccw9nVmhmr/rqNM/NwERERETym2AuR1AfGJdN+QSgQe6EIyIiIpJ/BZM4JQDZHYq71ldHRERE5IIWzKG60cBEM7sSWIw3KdzhTRLvAPQEBuRVgCIiIiL5RTDXcRpvZj8DjwD/wLvwJUAy8D1wj3Pu/bwLUURERCR/COpyBM65OcAcMysMlPUtPuKcO5VnkYmIiIjkM0FfABPAlyhpPpOIiIhclIKZHJ4tM6tlZrqiuIiIiFzwzjpxAsKA1rnQjoiIiEi+luOhOjN7JocqFXMpFhEREZF8LZg5TsOBHcCJLMpDcy0aERERkXwsmMRpJ/CUc+69zArN7HK8yxKIiIiIXNCCmeO0BmiaTbkDLHfCERERkbQSEhLo0aMH5cqVIzQ0lKioKJYvX+4vN7NMbw899FBAO1u3buXWW2+lZMmSFCtWjKZNmxIXF3euN+dPL5gRp2FAsWzKNwM1ciccERERSXX06FGuvfZaWrZsyfz58ylXrhw7duygfPny/joJCYFXCYqNjSU6Opo77rjDv2znzp1ce+213HPPPSxbtoySJUvy448/EhYWds625UIRzJXDN+dQfgrYlWsRiYiICACjRo0iIiKCmTNn+pfVqBE4VlGxYuA5Wp988gl169aldev/nfA+dOhQbrjhBsaMGeNfVrNmzTyK+sKW46E6M8txNMnM/pY74YiIiEiqjz/+mKuuuoo777yT8uXLc/nll/PGG2/gnMu0/m+//cZ7771Hr169/MtSUlL4z3/+Q1RUFB07dqRcuXI0b96cOXPmnKvNuKAEM8dpg5n1yqzAzEqa2TuA9r6IiEgu27FjB+PHj6dmzZosWrSI/v3788QTTzBu3LhM68+ePZukpCR69OjhX3bo0CESExN58cUXueGGG1i8eDFdu3alW7dufPrpp+dqUy4YwcxxegQYY2adgfuccwcAzKwTMAk4BFyVdyGKiIhcnFJSUmjWrBkjRowAoEmTJvz000+MGzeOfv36Zag/efJkbrnlFsqVKxfQBsDf/vY3Hn30UQAuv/xyYmNjGTduHDfddNM52JILR44jTs65KUBjvAniP5hZTzObCnwMTAOudM6tz9swRURELj4RERFERUUFLKtXrx67d+/OUHfdunXExsYGHKYDKFu2LIUKFQq6HcleUP/k1zkXD7Qxs3eBqcAxoKVzblUexiYiInJRu/baa9myZUvAsq1bt1K9evUMdSdNmkRkZCTt27cPWF6kSBGaN28edDuSvaD+V52ZhZjZK8AdwAy8q4iPNjNNyRcREckjjzzyCN9++y0vvPAC27Zt44MPPuC1117LcI2m48eP8+6773L//fdjlvHSio8//jhz5sxh0qRJbNu2jcmTJ/Pee+9laEdyFsxZdc2BdUAnoI1z7l6gAfALsN7M+uZtiCIiIhen5s2b8/HHH/P+++/ToEEDhg4dynPPPUffvoFfvXPmzOHYsWPce++9mbZzyy23MGnSJEaPHk3Dhg15/fXXmTlzJp06dToXm3FBsaxOafRXMDsJTAYGOeeOpyvrCbwCfOecuyGrNpo1a+ZiY2PPPtqzYG26n9f+U7mYt893CBet/PIaAL0Ozie9DgT0OpDsmdn3zrlmmZUFc6iuk3PuofRJE4BzbjrQ6CzjExEREflTCObK4YtzKN8DZDnaJCIiIllb2vnV8x0C/P/27j06qvrc//jngSCXBAVJQgKChMNVuQVlGRGRO7ESjBXmowAAGfZJREFUBeqJRNSCLVrFCiigggj1QvmpePkh1oLI7SCIKOWIReUiN7kJXaFAKVoucuIBQkAFAoRKvuePSaaZEMgGMjMJvF9rzVqZ/d2z82wYmM88+/KV1Hn+oHCXUCacs+Pk5a7hBdY1M6tz8SUBAACUTsUdqltrZlPM7OazrWBm1c3sEfkm+2XqlRJQ3EzYzjmNGTNGtWrVUuXKldWhQwdt27YtYBsvvfSSbrnlFkVGRhZ5hQUAADh/xQWnJvJdPfepmR00s8/MbKqZ/dHM5pjZ3+S7c/h9kgY7594KdsGXuvyZsJ1z+vTTT7V9+3ZNmDAhYCbsl19+WePHj9eECRP09ddfKzY2Vl27dtXRo0f96+Tk5Kh3794aPHhwOHYDAIBL0jnPcXLO/ShpmJk9J9/tCNpJulZSZUlZ8t3T6XPn3NZgF3q5KG4mbOec3njjDT399NP65S9/KUmaPn26YmNj9f777+vhhx+WJD3//POSpHnz5oWwegAALm2eboDpnDvhnJvnnBvsnOvlnEt2zt3nnBtPaCpZxc2EvXv3bu3fv1/duv37fPzKlSurffv2WrNmTbjKBgDgsuApOCF0ipsJe//+/ZKkmjVrBryuZs2a/jEAABAcBKdSJjc3V61bt9Yf/vAHJSYmqn///nr88cf9wSlf4RO+nXOcBA5cQsaMGSMzC3jExcX5xwuP5T8KTqExatQoNWnSRJGRkapevbo6d+5MZxq4SASnUqa4mbDz/+Ms3F3KzMw8owsFoGxr3Lix9u3b539s2bLFP1Zw+b59+/TJJ59IklJTUwNeP3HiRG3ZskWrV69WQkKCkpOTdeDAgZDvC3CpIDiVMsXNhJ2QkKC4uDgtXvzv+5KePHlSq1atUtu2bUNaK4KnuG6D5Htf9O7dW9WqVVOVKlXUunVrbd++3T+ek5Oj3/3ud4qOjlZkZKTuvPNOZWRkhHpXcBEiIiIUFxfnf8TExPjHCi6Pi4vTggUL1KhRI912223+de677z517txZ9evX1/XXX6/XXntNR48eVXp6ejh2B7gkEJxKmeJmwjYzDR48WOPGjdPHH3+srVu3ql+/foqKitK9997r387evXuVnp6uPXv2SJLS09OVnp6uY8eOhWO3cAHO1W3YvXu3brnlFiUkJGjZsmXaunWrXnzxRUVFRfnXGTx4sD766CPNnj1bq1at0pEjR9SjRw+dPn06HLuDC7Br1y7Vrl1bCQkJ6tOnj3bt2lXkekePHtWcOXM0YMCAs27r1KlTmjRpkq688kq1atUqWCUDl7xip1xBaOXPhD1ixAi98MILqlu37hkzYQ8fPlwnTpzQwIED9cMPP+imm27SF198oapVq/rXee655zR9+nT/88TEREnSl19+qQ4dOoRsf3Dh8rsNRRk5cqS6deum8ePH+5fVr1/f//NPP/2kKVOmaOrUqerataskaebMmbr22mu1ZMkSde/ePbjF46LddNNNmjZtmpo0aaLMzEy9+OKLatu2rbZt26YaNWoErDt79mzl5OToV7/61RnbWbhwofr06aPjx48rPj5eixcv5rA+cBHoOJVCd9xxhzZv3qyTJ0/qm2++0eOPPx5w4reZacyYMdq3b59OnjypFStWqFmzZgHbmDZtmpxzZzwITWXH2boNubm5+uSTT3TdddcpOTlZMTExatOmjT744AP/azdt2qR//etfAbetqFOnjpo2bcrJwWXE7bffrtTUVLVo0UJdunTRwoULlZubG/CFKN/kyZPVs2fPgEN5+Tp27Kj09HStWbNGycnJSk1N1b59+0KxC8AlieAElEL53YZFixZp8uTJ2r9/v9q2batDhw4pMzNTx44d09ixY9WtWzctXrxYaWlp6tu3rxYuXCjJd/FA+fLlFR0dHbBdbltRdkVFRen666/Xt99+G7A8PT1dGzduPOthusjISDVo0EBJSUmaMmWKKlSooHfffTcUJQOXJA7VhVhpmQVbYibs0uz2228PeJ6UlKT69etr+vTp6tOnjyTprrvu0hNPPCFJatWqlTZu3KiJEyeqR48eZ90ut60ou06ePKl//OMf6tixY8DySZMmqV69eurSpYun7eTm5ionJycYJQKXBTpOQBlQsNsQHR2tiIiIYm9bcfr0aWVlZQWsw20ryo6hQ4dqxYoV2r17t9avX6+7775b2dnZAecxHT9+XLNmzdJvfvObMwLxkSNH9Oyzz2r9+vXau3evNm3apAcffFAZGRkBtywAcH4ITkAZkN9tiI+P1xVXXKE2bdqc87YVN9xwgypUqBBw24qMjAxt376d21aUERkZGUpLS1Pjxo3Vu3dvVaxYUevWrfP/HUvSBx98oOzsbPXv3/+M10dERGjbtm3q1auXGjZsqJSUFB06dEgrV65UixYtQrkrwCWFQ3VAKTR06FClpKSobt26yszM1AsvvBDQbRg+fLhSU1N16623qlOnTvryyy81Z84c/fnPf5YkXXXVVfr1r3+tYcOGKTY2VjVq1NATTzzhP9EYpd+cOXOKXad///5FhiZJqlKliubPn1/SZQGXPYITUArldxuysrIUExOjpKSkgG5Dz549NWnSJI0dO1aDBg1Sw4YNNWPGDN1xxx3+bbz++uuKiIjQPffcoxMnTqhz586aMWOGypcvH67dAoAyj+AElEJeug39+vVTv379zjpeqVIlTZgwQRMmTCjBylCSSsvFIlwoAnjHOU4AAAAe0XECwqC0dBokug0AcD7oOAEAAHhEcAIAAPCI4AQAAOARwQkAAMAjghMAAIBHBCd4MnbsWJmZHnvsMf+yfv36ycwCHklJSQGv279/v+6//37FxcUpMjJSLVu21KxZs0JdPgAAJYLbEaBY69at0+TJk4uc36pLly6aOXOm//kVV1wRMP7AAw/o8OHDWrBggWJiYjR//nzdf//9qlOnjtq3bx/02gEAKEl0nHBOP/30k/r27aspU6aoevXqZ4xXrFhRcXFx/sfVV18dML5mzRoNHDhQN910k+rXr68nn3xSderU0YYNG0K1CwBKWFEd6IIeeughmZleffXVgOU7d+5Ur169FBMToyuvvFKpqak6cOBAKEoGSgzBCef00EMP6e6771anTp2KHF+9erViY2PVqFEjDRgwQJmZmQHj7dq109y5c3Xo0CHl5uZqwYIFOnjwIBPNllEX+oGZzzmn5ORkmZnmzZsXzFIRJOfqQEvSvHnz9PXXX6tWrVoBy7Ozs9WtWzc557R06VJ99dVXOnXqlFJSUpSbmxuK0oESQXDCWU2ePFn//Oc/9cILLxQ5npycrBkzZmjp0qUaP368NmzYoE6dOiknJ8e/zty5c2Vmio6OVsWKFdW3b1/Nnj1brVq1CtVuoIRc6AdmQePHj2eS4TKsuA70d999p0GDBun9999XhQoVAsa++uor7d69W1OnTlWLFi3UvHlzTZ8+XRs3btSyZctCtQvARSM4oUg7duzQiBEjNGvWrDPOW8rXp08f3XnnnWrevLlSUlK0aNEi7dixQ59++ql/nWeffVZZWVlasmSJNm7cqGHDhumBBx7Q5s2bQ7UrKAEX84GZb+PGjXrzzTc1derUYJeLIDlXB/rnn39WWlqann32WTVt2vSM8ZycHJmZKlWq5F9WqVIllStXTqtXrw5q3Sh5RXWfR40apSZNmigyMlLVq1dX586dtWbNmjNeu2HDBnXt2lVRUVGqWrWq2rZtq6ysrFCWf1EITijS2rVrlZWVpWbNmikiIkIRERFasWKF3n77bUVERAR0lfLVqlVL11xzjb799ltJvvMZJkyYoMmTJ6tz585q2bKlRo8erTZt2mjChAmh3iVchIv5wJSko0ePKi0tTX/6058UGxsb7HIRBMV1oEePHq0aNWrokUceKXI8KSlJUVFRGjZsmLKzs5Wdna2hQ4fq9OnT2rdvXzBLRwk7W/e5cePGmjhxorZs2aLVq1crISFBycnJAeexrV+/Xt26dVOHDh20bt06bdq0SUOHDj3rF67SiKvqUKSePXvqxhtvDFjWv39/NWzYUCNGjCiyC5WVlaXvv/9e8fHxkqTjx49L0hmHZsqXL885DWVI/gdmwasnCyruA1OSfvvb3yo5OVm/+MUvglUmgii/A71q1aoi/+2vWLFC06ZNU3p6+lm3ERMTow8//FCPPPKI3n77bZUrV05paWlq3bo1h2/LkILd5+effz5g7L777gt4/tprr2nKlClKT09X9+7dJUlDhgzRwIEDNXLkSP96jRo1Cn7hJYiOE4pUrVo1NWvWLOARGRmpq6++Ws2aNfN/W1y7dq327Nmj5cuXKyUlRbGxserVq5ckqUmTJmrQoIEeffRRbdiwQTt37tT48eO1ePFi/zoo3Yo7ZJv/gfnee++ddRszZ87U5s2b9corrwSzVARRcR3ozz77TPv27VN8fLx//LvvvtNTTz2la665xr+dbt26aefOncrMzFRWVpZmzpyp77//XgkJCWHcO5yP4i4Yynfq1ClNmjRJV155pf+c1szMTK1du1bx8fFq166datasqVtvvVVLly4NReklho4TLkj58uW1ZcsWzZgxQz/++KPi4+PVsWNHzZ07V1WrVpUkVahQQX/5y1/09NNPKyUlRceOHVODBg00depUpaSkhHkP4EXBD8x8p0+f1sqVK/XOO+9o2LBh/g/MguNPPfWU3njjDWVkZGjp0qX6+9//rqioqIBt33PPPbr55ps5v6UMKK4DHRMTo759+waMd+/eXWlpaRowYMAZ24uOjpYkLVu2TJmZmbrzzjuDVzxKTHHdZ0lauHCh+vTpo+PHjys+Pl6LFy9WzZo1JUm7du2S5OtSv/LKK0pMTNSHH36o7t27a9OmTWrZsmVI9uNiEZzg2fLly/0/V65cWZ9//nmxr2nYsKE++uijIFaFYCqJD8yXXnpJQ4cODVinefPmevXVV3XXXXcFdwdQIqpVq6Zq1aoFLCvYgZbk/3DMV6FCBcXFxalx48b+ZVOnTlWTJk0UGxurtWvXatCgQRoyZEjAOiidijtcm69jx45KT09XVlaWJk+erNTUVH+XKf8UjYcfflgPPvigJCkxMVHLly/XO++8oz/+8Y8h2ZeLRXACcFYl8YFZu3Zt1a5d+4xt16lTR/Xr1w9S5SiNduzYoWeeeUaHDx9WvXr1NHLkSA0ZMiTcZcGD4rrP2dnZqlixoiIjI9WgQQM1aNBASUlJatiwod59912NGjXK35m+7rrrArbdtGlT7d27N6T7czEITgCA81awA12UPXv2nLFs3LhxGjduXHAKQlBdyAVDkpSbm+u/CrtevXqqVauWduzYEbDON998o+bNmwen8CAgOF3OZlu4K/BJc+GuAOfhQj4wC3OOv3OgLCmu+3zkyBG9/PLLSklJUXx8vA4ePKiJEycqIyNDqampkiQz07BhwzR69Gi1aNFCiYmJmjt3rtatW6e33norHLt1QQhOAHC5Ky1foiS+SJVRERER2rZtm9577z0dOnRINWrUUJs2bbRy5cqA+z0NHjxYp06d0pNPPqlDhw7p+uuv16JFi8rMieESwQlAafnQ5AMTKFMKdp+rVKmi+fPne3rd8OHDNXz48CBVFXzcxwkAAMAjOk4AAKD0dJ+lUt2BpuMEAADgEcEJAADAI4ITAACARwQnAAAAjwhOAAAAHhGcAAAAPCI4AQAAeERwAgAA8IjgBAAA4BHBCQAAwCOCEwAAgEcEJwAAAI8ITgAAAB4RnAAAADwiOAEAAHhEcAIAAPCI4AQAAOARwQkAAMAjghMAAIBHBCcAAACPCE4AAAAeEZwAAAA8IjgBAAB4RHACAADwiOAEAADgEcEJAADAI4ITAACARwQnAAAAjwhOAAAAHhGcAAAAPCI4AQAAeERwAgAA8IjgBAAA4BHBCQAAwCOCEwAAgEcEJwAAAI8ITgAAAB4RnAAAADwiOAEAAHhEcAIAAPCI4AQAAOARwQkAAMAjghMAAIBHBCcAAACPCE4AAAAeEZwAAAA8IjgBAAB4RHACAADwiOAEAADgEcEJAADAI4ITAACARwQnAAAAjwhOAAAAHhGcAAAAPCI4AQAAeERwAgAA8IjgBAAA4BHBCQAAwCOCEwAAgEcEJwAAAI8ITgAAAB4RnAAAADwiOAEAAHhEcAIAAPCI4AQAAOARwQkAAMAjghMAAIBHBCcAAACPCE4AAAAeEZwAAAA8IjgBAAB4RHACAADwiOAEAADgEcEJAADAI4ITAACARwQnAAAAjwhOAAAAHhGcAAAAPDLnXPB/idlBSd8F/RddXqIlZYW7CIQV7wFIvA/gw/ugZF3rnIspaiAkwQklz8w2OuduDHcdCB/eA5B4H8CH90HocKgOAADAI4ITAACARwSnsmtSuAtA2PEegMT7AD68D0KEc5wAAAA8ouMEAADgEcEJAADAI4JTGWNmj5rZbjM7aWabzOzWcNeE0DGz9mb232b2vZk5M+sX7poQemb2jJl9bWZHzOygmX1iZs3CXRdCx8wGmtnf8t4DR8xsrZndEe66LgcEpzLEzO6R9KaksZISJa2RtMjM6oa1MIRSlKStkgZJOhHmWhA+HSS9LamtpE6Sfpa0xMyuDmdRCKkMSU9Jai3pRknLJP3ZzFqEtarLACeHlyFmtl7S35xzAwos+1bSPOfcM+GrDOFgZsckPeacmxbuWhBeZhYl6SdJPZ1zn4S7HoSHmR2W9Ixz7k/hruVSRsepjDCzKyTdIOmLQkNfyPetE8Dlq6p8/5//EO5CEHpmVt7M+sjXkV4T7noudRHhLgCeRUsqL+lAoeUHJHUJfTkASpE3JaVLWhvuQhA6ZtZcvr/zSpKOSerlnNsS3qoufQSnsqfwsVUrYhmAy4SZvSapnaR2zrnT4a4HIbVDUitJ1ST9UtJ0M+vgnNsa3rIubQSnsiNL0mlJcYWWx+rMLhSAy4CZvS6pj6SOzrld4a4HoeWcOyXpn3lPN5pZG0lDJP06fFVd+jjHqYzI+weySVLXQkNdxTFt4LJjZm9KuldSJ+fcP8JdD0qFcpIqhruISx0dp7LlNUkzzWyDpK8k/VZSLUnvhLUqhEze1VMN8p6Wk1TXzFpJOuyc2xu+yhBKZjZR0v2Sekr6wczyO9HHnHPHwlcZQsXMxkn6VNL/yHdxwL3y3aaCezkFGbcjKGPM7FFJwyXFy3c/nyHOuZXhrQqhYmYdJH1ZxNB051y/0FaDcDGzs/3H/Xvn3JhQ1oLwMLNpkjrKd/rGT5L+JukV59zn4azrckBwAgAA8IhznAAAADwiOAEAAHhEcAIAAPCI4AQAAOARwQkAAMAjghMAAIBHBCcA58XM9pjZ0HDXEUolsc9m1sHMnJlFl1RdAEKP4ATAz8xqmtmbZrbTzHLM7HszW2Rmvwji75xmZguDuP16eYHlxmD9DgCXD6ZcASDJFzDkm8rnqKRnJG2W78tVZ/mm9akbrtq8MLMISacdd/UFEER0nADke1uSSbrROTfXObfDObfdOfeWpJZne1FeN+fuQssCDm2Z2cNm9o2ZnTSzg2b2uZlFmNkYSb+SdEfedlzetDIys9pmNsfMfsh7fGpmDQtsc4yZbTWzfma2U1KOpMjz3Wkz+w8zW2Bm+80s28z+amY9ilg1ysz+y8yO5a07tNB2rjKzSWaWaWZHzWwFXS7g0kNwAiAzu1pSsqS3ipok1jn3w0Vs+0ZJEyX9XlJjSV0kfZY3/KqkuZKWyDf/YrykNWZWRb45+U5Kuk3SzZL2SVqSN5YvQb7JTf9TvnB38gJKjJK0SFLXvG18JOljM2tSaL0nJG2X1FrSaEljzax33j6afBOu1pbUQ1KipJWSlplZ/AXUBKCU4lAdAElqIF+3aXsQtl1XUrak/3bOHZX0nXyHASXpmJmdkJTjnNuf/wIzuy+vnv75h97M7GFJmfIFk7l5q14h6X7n3IELLc45t7lAPZL0kpmlSLpb0osFlq93zr2U9/M3ZtZGvjD1sXyTrbaSFOOcO5G3zqi87dwv6eULrQ9A6UJwAiD5QkqwLJYvLO02s88lfSHp47wQdTY3yNdNOupr5vhVkfQfBZ5nXExokiQzi5Svg9RDvo5XBUmV5JttvqC1RTzvXaDeKpIOFqq3UqF6AZRxBCcAkvStJCepqaT55/lapzODVwX/oHNHzay1pPbyHQ57Rr7DXG2cc/97lm2Wk5QuqU8RY4cL/Jx9nrUW5VX5DlMOle/P4bikGfJ1s7wqJ+mApFuLGDtysQUCKD0ITgDknDuc1w16zMz+f+HznMysmnPux7O8/KB8nZr8dWsWfJ63/Z8lLZPvnJ/R+vcht0mSTkkqX2ibf5WUJinrHL+3pLSTNMM595EkmVl+l+ibQuslFfE8/9DmXyXVlJTrnNsVxFoBhBknhwPI96h8naONZvafZtbYzJqY2SM687BVQcskDTSzG80sUdI0FThJ28x6mNkgM0s0s2vlO5m7qv4dOvZIapb3+6LNrIKkWfJ1cBaY2W1mlmBm7c1sfMEr685TIzNrVehRSb6A1MvMWptZc0n/Jd8htsKSzOwZM2toZgMkPSDp9byxJfLdymGBmd2eV+/NZvZ7MyuqCwWgjKLjBECS5JzbnXdIbYSk/yffFWKH5Dtx+uFzvPRJSVMkLZcv7AyX75Bfvh8l9ZT0nHznAe2U9Bvn3Kq88cmSOkjaKN8Vbh2dc8vNrL2kcZI+lHSVpP+V70q7C73Cb1YRy5rLd4L3FEmr8rb9hooOTq9JaiFppHyHCJ9zzs2TJOecy7tJ6It5+xMr35/FV/Id9gNwiTDuFQcAAOANh+oAAAA8IjgBAAB4RHACAADwiOAEAADgEcEJAADAI4ITAACARwQnAAAAjwhOAAAAHhGcAAAAPPo/ABkM8/uFtVgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "Color_List = ['#003f5c', '#bc5090', '#ffa600']\n",
    "ax = HouseClusters_Mean[['Average Detached House Price', 'Average Attached House Price', 'Average Condo Apartment Price']].plot(kind='bar', color=Color_List, figsize=(10,6), width = 0.8)\n",
    "ax.set_title(\"Average House Over Each Neighborhood Cluster\", fontsize=14)\n",
    "\n",
    "ax.tick_params(labelsize=14, rotation=0)\n",
    "ax.legend(['Detached House', 'Attached House', 'Condo Apartment'],fontsize=14, frameon=False)\n",
    "#ax.spines[\"top\"].set_visible(False)\n",
    "#ax.spines[\"right\"].set_visible(False)\n",
    "#ax.spines[\"left\"].set_visible(False)\n",
    "ax.set_yticks([])\n",
    "ax.set_ylim(0,1800000)\n",
    "ax.set_xlabel('Cluster Label', fontsize=14)\n",
    "#ax.set_xticklabels(Clusters_Mean['Cluster Labels'], Rotation=0 ) \n",
    "ax.set_ylabel('(X1000) CAD', fontsize=14)\n",
    "\n",
    "\n",
    "# set individual bar lables using above list\n",
    "#for i in ax.patches:\n",
    "    # get_x pulls left or right; get_height pushes up or down\n",
    " #   ax.text(i.get_x(), i.get_height()+1, \\\n",
    "  #          str(round((i.get_height()/total)*100, 2))+'%', fontsize=14,\n",
    "   #             color='black')\n",
    "\n",
    "for i in ax.patches:\n",
    "    y=i.get_height()\n",
    "    x=i.get_x()+i.get_width()/2\n",
    "    label = int(y/1000)\n",
    "#    label = \"{:.2}\".format(y)\n",
    "    ax.annotate(label, xy=(x+0.02,y+15000), ha='center', fontsize=14, rotation=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
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        var popup_7a02ecc9afbd40f7bdba56eae6341520 = L.popup({"maxWidth": "100%"});

        
            var html_978601fbcefe4eb0b4189815a8d783ec = $(`<div id="html_978601fbcefe4eb0b4189815a8d783ec" style="width: 100.0%; height: 100.0%;">Rural Burlington Cluster 1</div>`)[0];
            popup_7a02ecc9afbd40f7bdba56eae6341520.setContent(html_978601fbcefe4eb0b4189815a8d783ec);
        

        circle_marker_fe9b796ee4e44aab8025cf847e4bb862.bindPopup(popup_7a02ecc9afbd40f7bdba56eae6341520)
        ;

        
    
    
            var circle_marker_65a0604ff56e402a8b94fec578f9cd00 = L.circleMarker(
                [43.35668, -79.756073],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "blue", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_15eecbe260d74bfb92ea555eee4b145c);
        
    
        var popup_1393271d79c64ceb80b7a3b7ec22cb7a = L.popup({"maxWidth": "100%"});

        
            var html_1c5d1515a4e34f14a651ca19315239e9 = $(`<div id="html_1c5d1515a4e34f14a651ca19315239e9" style="width: 100.0%; height: 100.0%;">Shoreacres Cluster 1</div>`)[0];
            popup_1393271d79c64ceb80b7a3b7ec22cb7a.setContent(html_1c5d1515a4e34f14a651ca19315239e9);
        

        circle_marker_65a0604ff56e402a8b94fec578f9cd00.bindPopup(popup_1393271d79c64ceb80b7a3b7ec22cb7a)
        ;

        
    
    
            var circle_marker_e356d39feca14dd7a86d8dd7e8a85a47 = L.circleMarker(
                [43.379464, -79.788639],
                {"bubblingMouseEvents": true, "color": "Purple", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "Purple", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_15eecbe260d74bfb92ea555eee4b145c);
        
    
        var popup_c1a0d9db14364b289c0ac49093824eae = L.popup({"maxWidth": "100%"});

        
            var html_0fc733bb385b4b1bafa7ebf0010d13c4 = $(`<div id="html_0fc733bb385b4b1bafa7ebf0010d13c4" style="width: 100.0%; height: 100.0%;">Tansley Cluster 0</div>`)[0];
            popup_c1a0d9db14364b289c0ac49093824eae.setContent(html_0fc733bb385b4b1bafa7ebf0010d13c4);
        

        circle_marker_e356d39feca14dd7a86d8dd7e8a85a47.bindPopup(popup_c1a0d9db14364b289c0ac49093824eae)
        ;

        
    
    
            var circle_marker_f0abead7892a48edbcc8046393c499b3 = L.circleMarker(
                [43.407001, -79.790942],
                {"bubblingMouseEvents": true, "color": "Purple", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "Purple", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_15eecbe260d74bfb92ea555eee4b145c);
        
    
        var popup_c728729a89f8412fb81a34661fdc28ff = L.popup({"maxWidth": "100%"});

        
            var html_0f3c090ca2554f0bbf98019029e1bec1 = $(`<div id="html_0f3c090ca2554f0bbf98019029e1bec1" style="width: 100.0%; height: 100.0%;">The Orchard Cluster 0</div>`)[0];
            popup_c728729a89f8412fb81a34661fdc28ff.setContent(html_0f3c090ca2554f0bbf98019029e1bec1);
        

        circle_marker_f0abead7892a48edbcc8046393c499b3.bindPopup(popup_c728729a89f8412fb81a34661fdc28ff)
        ;

        
    
    
            var circle_marker_07b32d739e7b467c8136b3f4d8a21977 = L.circleMarker(
                [43.345682, -79.846388],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "blue", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 7, "stroke": true, "weight": 3}
            ).addTo(map_15eecbe260d74bfb92ea555eee4b145c);
        
    
        var popup_bd30bde1373d4a0c92e7442e2f9c80d2 = L.popup({"maxWidth": "100%"});

        
            var html_e01348ab2ac94cd8b61f92ab89c5691d = $(`<div id="html_e01348ab2ac94cd8b61f92ab89c5691d" style="width: 100.0%; height: 100.0%;">Tyandaga Cluster 1</div>`)[0];
            popup_bd30bde1373d4a0c92e7442e2f9c80d2.setContent(html_e01348ab2ac94cd8b61f92ab89c5691d);
        

        circle_marker_07b32d739e7b467c8136b3f4d8a21977.bindPopup(popup_bd30bde1373d4a0c92e7442e2f9c80d2)
        ;

        
    
</script> onload=\"this.contentDocument.open();this.contentDocument.write(atob(this.getAttribute('data-html')));this.contentDocument.close();\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1adc7a872c8>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Burlington Location\n",
    "latitude = 43.35\n",
    "longitude = -79.7990\n",
    "\n",
    "# create map\n",
    "map_clusters = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "#x = np.arange(kclusters)\n",
    "#ys = [i + x + (i*x)**2 for i in range(kclusters)]\n",
    "#colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "#rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "ColorList=['blue', 'red', 'green', 'Purple']\n",
    "\n",
    "# add markers to the map\n",
    "markers_colors = []\n",
    "for lat, lon, poi, cluster in zip(Burlington_School_House['Latitude'], Burlington_School_House['Longitude'], Burlington_School_House.index, Burlington_School_House['Cluster Labels']):\n",
    "    label = folium.Popup(str(poi) + ' Cluster ' + str(cluster), parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lon],\n",
    "        radius=7,\n",
    "        popup=label,\n",
    "        color = ColorList[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=ColorList[cluster-1],\n",
    "        fill_opacity=0.7).add_to(map_clusters)\n",
    "       \n",
    "map_clusters"
   ]
  }
 ],
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