Final_Capstone_project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Finding Optimal Locations for  Hostel construction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 825,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bs4 import BeautifulSoup as beautifulsoup\n",
    "import requests\n",
    "import pandas as pd\n",
    "pd.set_option('display.max_rows',500)\n",
    "pd.set_option('display.max_columns',500)\n",
    "import numpy as np\n",
    "import folium\n",
    "import re\n",
    "from geopy.geocoders import Nominatim\n",
    "from pandas.io.json import json_normalize\n",
    "from sklearn.cluster import DBSCAN\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "import sklearn.utils\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.colors as colors\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Webscraping the NY community college data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://www.communitycollegereview.com/college-size-stats/new-york#:~:text=The%20average%20community%20college%20in,Community%20College%20with%2026%2C606%20students.'\n",
    "\n",
    "html_source = requests.get(url).text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "soup = beautifulsoup(html_source,'lxml')\n",
    "\n",
    "#Contains the entire table.\n",
    "college_table = soup.find('div',id='school_list').ul"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<li class=\"table_row_head\">\n",
       "<span class=\"table_cell_other_1\">College</span>\n",
       "<span class=\"table_cell_other_2\"># Students</span>\n",
       "<span class=\"table_cell_county\" style=\"margin-right:0;\">Location</span><div class=\"break\"></div></li>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Contains the column names of the table.\n",
    "columns = college_table.find('li',class_='table_row_head')\n",
    "columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "College # Students Location\n"
     ]
    }
   ],
   "source": [
    "college = columns.findAll('span')[0].text\n",
    "students = columns.findAll('span')[1].text\n",
    "location = columns.findAll('span')[2].text\n",
    "\n",
    "col = [college,students,location]\n",
    "\n",
    "#We will use these as the dataframe column names.\n",
    "print(college, stud, location)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<li class=\"table_row row_click\"><div class=\"school-type-list-text\"><span class=\"table_cell_other_1\"><span class=\"rank\"><span class=\"just-mobile-show-inline\">Rank: #1</span><span class=\"just-desktop-show-inline\">1.</span></span><div class=\"school_info\"><a class=\"school_links\" href=\"/cuny-borough-of-manhattan-community-college-profile\"><span class=\"tooltip\" schoolidid=\"818\">CUNY Borough of Manhattan Community College</span></a><div class=\"thumbnail school-list-thumbnail\"></div><span class=\"caption captionwidth\"><strong>Public</strong></span><div class=\"compare_button\"><label class=\"check-label\"><input class=\"checkbox-input\" id=\"compare_818\" type=\"checkbox\"/><label class=\"checkboxcss\" for=\"compare_818\"></label><span class=\"checkbox-label\" for=\"compare_818\"><span class=\"compare-btn\">Add to Compare</span></span></label></div></div></span><span class=\"table_cell_other_2\">26,606</span><span style=\"display: none;\"><br/></span><span class=\"table_cell_county\"><span style=\"float:none;\">199 Chambers St</span><br/>\n",
       "<span style=\"float:none;\">New York</span><span style=\"float: none\">,&amp;nbsp</span>\n",
       "<span style=\"float:none;\">NY</span><span style=\"float: none\"> </span>\n",
       "<span style=\"float:none;\">10007</span><br/>\n",
       "<span style=\"float:none;\">(212)220-8000</span>\n",
       "</span><div class=\"break\"></div></div><div class=\"break\"></div></li>"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's check how the data is nested for 1 row of the table. We will then loop over all rows using 'rows'\n",
    "row = college_table.find('li',class_='table_row row_click')\n",
    "row"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'span'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-176-1cf213a4894a>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mlocation\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      6\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mro\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mrows\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 7\u001b[1;33m     \u001b[0mcollege_name\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mro\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfind\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'div'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mclass_\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'school_info'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mspan\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      8\u001b[0m     \u001b[0mno_of_students\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mro\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfind\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'span'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mclass_\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'table_cell_other_2'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      9\u001b[0m     \u001b[0mlocation\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mro\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfind\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'span'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mclass_\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'table_cell_county'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'\\n'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m+\u001b[0m \u001b[1;34m','\u001b[0m \u001b[1;33m+\u001b[0m\u001b[0mro\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfind\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'span'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mclass_\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'table_cell_county'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtext\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'\\n'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msplit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m','\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'span'"
     ]
    }
   ],
   "source": [
    "rows = college_table.findAll('li',class_='table_row row_click')\n",
    "\n",
    "college_name = []\n",
    "no_of_students = []\n",
    "location = []\n",
    "for ro in rows:\n",
    "    college_name.append(ro.find('div',class_='school_info').span.text)\n",
    "    no_of_students.append(ro.find('span',class_='table_cell_other_2').text)\n",
    "    location.append(ro.find('span',class_='table_cell_county').text.split('\\n')[0] + ',' +ro.find('span',class_='table_cell_county').text.split('\\n')[1].split(',')[0])\n",
    "    #To select only the string needed from the 'table_cell_county' > span tag, a bit of list slicing had to be done.\n",
    "    #Pardon the ugly code.\n",
    "    #The below error can be ignored. We still get the required data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### The above error is unexpected, but the code works without any problems and we can get the desired dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>College</th>\n",
       "      <th># Students</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>26,606</td>\n",
       "      <td>199 Chambers St,New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Suffolk County Community College</td>\n",
       "      <td>26,600</td>\n",
       "      <td>533 College Rd,Selden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Nassau Community College</td>\n",
       "      <td>22,374</td>\n",
       "      <td>One Education Dr,Garden City</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>20,231</td>\n",
       "      <td>31-10 Thomson Ave,Long Island City</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Kingsborough Community College</td>\n",
       "      <td>19,145</td>\n",
       "      <td>2001 Oriental Blvd,Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CUNY New York City College of Technology</td>\n",
       "      <td>16,967</td>\n",
       "      <td>300 Jay St,Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CUNY Queensborough Community College</td>\n",
       "      <td>16,182</td>\n",
       "      <td>222-05 56th Ave,Oakland Gardens</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Monroe Community College</td>\n",
       "      <td>15,335</td>\n",
       "      <td>1000 E Henrietta Rd,Rochester</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SUNY Westchester Community College</td>\n",
       "      <td>13,916</td>\n",
       "      <td>75 Grasslands Road,Valhalla</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>12,733</td>\n",
       "      <td>121 Ellicott St,Buffalo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Onondaga Community College</td>\n",
       "      <td>12,271</td>\n",
       "      <td>4585 West Seneca Turnpike,Syracuse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>11,640</td>\n",
       "      <td>80 Vandenburgh Ave,Troy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>11,506</td>\n",
       "      <td>2155 University Avenue,Bronx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Dutchess Community College</td>\n",
       "      <td>9,905</td>\n",
       "      <td>53 Pendell Rd,Poughkeepsie</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>9,764</td>\n",
       "      <td>227 W 27th St,New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Farmingdale State College</td>\n",
       "      <td>8,394</td>\n",
       "      <td>2350 Broadhollow Road,Farmingdale</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Rockland Community College</td>\n",
       "      <td>7,520</td>\n",
       "      <td>145 College Rd,Suffern</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Mohawk Valley Community College</td>\n",
       "      <td>7,149</td>\n",
       "      <td>1101 Sherman Dr,Utica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>6,985</td>\n",
       "      <td>500 Grand Concourse,Bronx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SUNY Broome Community College</td>\n",
       "      <td>6,924</td>\n",
       "      <td>907 Upper Front St,Binghamton</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Genesee Community College</td>\n",
       "      <td>6,876</td>\n",
       "      <td>One College Rd,Batavia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Finger Lakes Community College</td>\n",
       "      <td>6,793</td>\n",
       "      <td>3325 Marvin Sands Drive,Canandaigua</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Orange County Community College</td>\n",
       "      <td>6,754</td>\n",
       "      <td>115 South St,Middletown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>6,701</td>\n",
       "      <td>1650 Bedford Ave,Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>6,601</td>\n",
       "      <td>2501 Jerome Avenue,Bronx</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>6,497</td>\n",
       "      <td>78 Washington Avenue,Schenectady</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Niagara County Community College</td>\n",
       "      <td>6,478</td>\n",
       "      <td>3111 Saunders Settlement Rd,Sanborn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Tompkins Cortland Community College</td>\n",
       "      <td>5,559</td>\n",
       "      <td>170 North St,Dryden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Jamestown Community College</td>\n",
       "      <td>5,065</td>\n",
       "      <td>525 Falconer St,Jamestown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Cayuga County Community College</td>\n",
       "      <td>4,633</td>\n",
       "      <td>197 Franklin St,Auburn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>4,624</td>\n",
       "      <td>81 Willoughby Street,Brooklyn</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Berkeley College-New York</td>\n",
       "      <td>4,525</td>\n",
       "      <td>3 East 43 Street,New York</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Corning Community College</td>\n",
       "      <td>4,520</td>\n",
       "      <td>1 Academic Dr,Corning</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>4,247</td>\n",
       "      <td>640 Bay Rd,Queensbury</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>SUNY College of Technology at Alfred</td>\n",
       "      <td>3,661</td>\n",
       "      <td>10 Upper College Drive,Alfred</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        College # Students  \\\n",
       "0   CUNY Borough of Manhattan Community College     26,606   \n",
       "1              Suffolk County Community College     26,600   \n",
       "2                      Nassau Community College     22,374   \n",
       "3              CUNY LaGuardia Community College     20,231   \n",
       "4           CUNY Kingsborough Community College     19,145   \n",
       "5      CUNY New York City College of Technology     16,967   \n",
       "6          CUNY Queensborough Community College     16,182   \n",
       "7                      Monroe Community College     15,335   \n",
       "8            SUNY Westchester Community College     13,916   \n",
       "9                        Erie Community College     12,733   \n",
       "10                   Onondaga Community College     12,271   \n",
       "11              Hudson Valley Community College     11,640   \n",
       "12                 CUNY Bronx Community College     11,506   \n",
       "13                   Dutchess Community College      9,905   \n",
       "14              Fashion Institute of Technology      9,764   \n",
       "15                    Farmingdale State College      8,394   \n",
       "16                   Rockland Community College      7,520   \n",
       "17              Mohawk Valley Community College      7,149   \n",
       "18                CUNY Hostos Community College      6,985   \n",
       "19                SUNY Broome Community College      6,924   \n",
       "20                    Genesee Community College      6,876   \n",
       "21               Finger Lakes Community College      6,793   \n",
       "22              Orange County Community College      6,754   \n",
       "23                    CUNY Medgar Evers College      6,701   \n",
       "24                               Monroe College      6,601   \n",
       "25         Schenectady County Community College      6,497   \n",
       "26             Niagara County Community College      6,478   \n",
       "27          Tompkins Cortland Community College      5,559   \n",
       "28                  Jamestown Community College      5,065   \n",
       "29              Cayuga County Community College      4,633   \n",
       "30                                  ASA College      4,624   \n",
       "31                    Berkeley College-New York      4,525   \n",
       "32                    Corning Community College      4,520   \n",
       "33                 Adirondack Community College      4,247   \n",
       "34         SUNY College of Technology at Alfred      3,661   \n",
       "\n",
       "                               Location  \n",
       "0              199 Chambers St,New York  \n",
       "1                 533 College Rd,Selden  \n",
       "2          One Education Dr,Garden City  \n",
       "3    31-10 Thomson Ave,Long Island City  \n",
       "4           2001 Oriental Blvd,Brooklyn  \n",
       "5                   300 Jay St,Brooklyn  \n",
       "6       222-05 56th Ave,Oakland Gardens  \n",
       "7         1000 E Henrietta Rd,Rochester  \n",
       "8           75 Grasslands Road,Valhalla  \n",
       "9               121 Ellicott St,Buffalo  \n",
       "10   4585 West Seneca Turnpike,Syracuse  \n",
       "11              80 Vandenburgh Ave,Troy  \n",
       "12         2155 University Avenue,Bronx  \n",
       "13           53 Pendell Rd,Poughkeepsie  \n",
       "14               227 W 27th St,New York  \n",
       "15    2350 Broadhollow Road,Farmingdale  \n",
       "16               145 College Rd,Suffern  \n",
       "17                1101 Sherman Dr,Utica  \n",
       "18            500 Grand Concourse,Bronx  \n",
       "19        907 Upper Front St,Binghamton  \n",
       "20               One College Rd,Batavia  \n",
       "21  3325 Marvin Sands Drive,Canandaigua  \n",
       "22              115 South St,Middletown  \n",
       "23            1650 Bedford Ave,Brooklyn  \n",
       "24             2501 Jerome Avenue,Bronx  \n",
       "25     78 Washington Avenue,Schenectady  \n",
       "26  3111 Saunders Settlement Rd,Sanborn  \n",
       "27                  170 North St,Dryden  \n",
       "28            525 Falconer St,Jamestown  \n",
       "29               197 Franklin St,Auburn  \n",
       "30        81 Willoughby Street,Brooklyn  \n",
       "31            3 East 43 Street,New York  \n",
       "32                1 Academic Dr,Corning  \n",
       "33                640 Bay Rd,Queensbury  \n",
       "34        10 Upper College Drive,Alfred  "
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cc_df = pd.DataFrame(zip(college_name,no_of_students,location),columns = col)\n",
    "cc_df.to_excel('D:/DATA science/Coursera Data science/NY_colleges.xlsx',index = False)\n",
    "cc_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Exploration\n",
    "\n",
    "A couple of addresses are wrong or mistyped, which need to be corrected."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 227,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Renaming the address from the original 'one education Dr,Garden city' to '1 Education Dr,Garden City' so that geopy can find it.\n",
    "cc_df.loc[2,'Location'] = '1 Education Dr,Garden City'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 781,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>College</th>\n",
       "      <th># Students</th>\n",
       "      <th>Location</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>26,606</td>\n",
       "      <td>199 Chambers St,New York</td>\n",
       "      <td>40.7172</td>\n",
       "      <td>-74.0122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Suffolk County Community College</td>\n",
       "      <td>26,600</td>\n",
       "      <td>533 College Rd,Selden</td>\n",
       "      <td>40.8486</td>\n",
       "      <td>-73.059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Nassau Community College</td>\n",
       "      <td>22,374</td>\n",
       "      <td>1 Education Dr,Garden City</td>\n",
       "      <td>40.0548</td>\n",
       "      <td>-86.943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>20,231</td>\n",
       "      <td>31-10 Thomson Ave,Long Island City</td>\n",
       "      <td>40.7464</td>\n",
       "      <td>-73.9426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Kingsborough Community College</td>\n",
       "      <td>19,145</td>\n",
       "      <td>2001 Oriental Blvd,Brooklyn</td>\n",
       "      <td>40.5782</td>\n",
       "      <td>-73.935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CUNY New York City College of Technology</td>\n",
       "      <td>16,967</td>\n",
       "      <td>300 Jay St,Brooklyn</td>\n",
       "      <td>40.6953</td>\n",
       "      <td>-73.9873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CUNY Queensborough Community College</td>\n",
       "      <td>16,182</td>\n",
       "      <td>222-05 56th Ave,Oakland Gardens</td>\n",
       "      <td>40.756</td>\n",
       "      <td>-73.7565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Monroe Community College</td>\n",
       "      <td>15,335</td>\n",
       "      <td>1000 E Henrietta Rd,Rochester</td>\n",
       "      <td>43.1158</td>\n",
       "      <td>-77.6165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SUNY Westchester Community College</td>\n",
       "      <td>13,916</td>\n",
       "      <td>75 Grasslands Road,Valhalla</td>\n",
       "      <td>41.0687</td>\n",
       "      <td>-73.7907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>12,733</td>\n",
       "      <td>121 Ellicott St,Buffalo</td>\n",
       "      <td>42.8818</td>\n",
       "      <td>-78.8726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Onondaga Community College</td>\n",
       "      <td>12,271</td>\n",
       "      <td>4585 West Seneca Turnpike,Syracuse</td>\n",
       "      <td>43.0056</td>\n",
       "      <td>-76.1973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>11,640</td>\n",
       "      <td>80 Vandenburgh Ave,Troy</td>\n",
       "      <td>42.6965</td>\n",
       "      <td>-73.6876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>11,506</td>\n",
       "      <td>2155 University Avenue,Bronx</td>\n",
       "      <td>40.8577</td>\n",
       "      <td>-73.9129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Dutchess Community College</td>\n",
       "      <td>9,905</td>\n",
       "      <td>53 Pendell Rd,Poughkeepsie</td>\n",
       "      <td>41.7265</td>\n",
       "      <td>-73.9043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>9,764</td>\n",
       "      <td>227 W 27th St,New York</td>\n",
       "      <td>40.7469</td>\n",
       "      <td>-73.9943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Mohawk Valley Community College</td>\n",
       "      <td>7,149</td>\n",
       "      <td>1101 Sherman Dr,Utica</td>\n",
       "      <td>43.0766</td>\n",
       "      <td>-75.2167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>6,985</td>\n",
       "      <td>500 Grand Concourse,Bronx</td>\n",
       "      <td>40.8181</td>\n",
       "      <td>-73.9268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SUNY Broome Community College</td>\n",
       "      <td>6,924</td>\n",
       "      <td>907 Upper Front St,Binghamton</td>\n",
       "      <td>42.1377</td>\n",
       "      <td>-75.905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Orange County Community College</td>\n",
       "      <td>6,754</td>\n",
       "      <td>115 South St,Middletown</td>\n",
       "      <td>41.4386</td>\n",
       "      <td>-74.426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>6,701</td>\n",
       "      <td>1650 Bedford Ave,Brooklyn</td>\n",
       "      <td>40.6663</td>\n",
       "      <td>-73.9584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>6,601</td>\n",
       "      <td>2501 Jerome Avenue,Bronx</td>\n",
       "      <td>40.864</td>\n",
       "      <td>-73.9003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>6,497</td>\n",
       "      <td>78 Washington Avenue,Schenectady</td>\n",
       "      <td>42.8158</td>\n",
       "      <td>-73.9494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Niagara County Community College</td>\n",
       "      <td>6,478</td>\n",
       "      <td>3111 Saunders Settlement Rd,Sanborn</td>\n",
       "      <td>43.1472</td>\n",
       "      <td>-78.8774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Tompkins Cortland Community College</td>\n",
       "      <td>5,559</td>\n",
       "      <td>170 North St,Dryden</td>\n",
       "      <td>42.5014</td>\n",
       "      <td>-76.2981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Jamestown Community College</td>\n",
       "      <td>5,065</td>\n",
       "      <td>525 Falconer St,Jamestown</td>\n",
       "      <td>42.1139</td>\n",
       "      <td>-79.2173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Cayuga County Community College</td>\n",
       "      <td>4,633</td>\n",
       "      <td>197 Franklin St,Auburn</td>\n",
       "      <td>42.9434</td>\n",
       "      <td>-76.5432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>4,624</td>\n",
       "      <td>81 Willoughby Street,Brooklyn</td>\n",
       "      <td>40.6924</td>\n",
       "      <td>-73.986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>4,247</td>\n",
       "      <td>640 Bay Rd,Queensbury</td>\n",
       "      <td>43.3529</td>\n",
       "      <td>-73.6534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>SUNY College of Technology at Alfred</td>\n",
       "      <td>3,661</td>\n",
       "      <td>10 Upper College Drive,Alfred</td>\n",
       "      <td>42.2559</td>\n",
       "      <td>-77.7969</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        College # Students  \\\n",
       "0   CUNY Borough of Manhattan Community College     26,606   \n",
       "1              Suffolk County Community College     26,600   \n",
       "2                      Nassau Community College     22,374   \n",
       "3              CUNY LaGuardia Community College     20,231   \n",
       "4           CUNY Kingsborough Community College     19,145   \n",
       "5      CUNY New York City College of Technology     16,967   \n",
       "6          CUNY Queensborough Community College     16,182   \n",
       "7                      Monroe Community College     15,335   \n",
       "8            SUNY Westchester Community College     13,916   \n",
       "9                        Erie Community College     12,733   \n",
       "10                   Onondaga Community College     12,271   \n",
       "11              Hudson Valley Community College     11,640   \n",
       "12                 CUNY Bronx Community College     11,506   \n",
       "13                   Dutchess Community College      9,905   \n",
       "14              Fashion Institute of Technology      9,764   \n",
       "17              Mohawk Valley Community College      7,149   \n",
       "18                CUNY Hostos Community College      6,985   \n",
       "19                SUNY Broome Community College      6,924   \n",
       "22              Orange County Community College      6,754   \n",
       "23                    CUNY Medgar Evers College      6,701   \n",
       "24                               Monroe College      6,601   \n",
       "25         Schenectady County Community College      6,497   \n",
       "26             Niagara County Community College      6,478   \n",
       "27          Tompkins Cortland Community College      5,559   \n",
       "28                  Jamestown Community College      5,065   \n",
       "29              Cayuga County Community College      4,633   \n",
       "30                                  ASA College      4,624   \n",
       "33                 Adirondack Community College      4,247   \n",
       "34         SUNY College of Technology at Alfred      3,661   \n",
       "\n",
       "                               Location Latitude Longitude  \n",
       "0              199 Chambers St,New York  40.7172  -74.0122  \n",
       "1                 533 College Rd,Selden  40.8486   -73.059  \n",
       "2            1 Education Dr,Garden City  40.0548   -86.943  \n",
       "3    31-10 Thomson Ave,Long Island City  40.7464  -73.9426  \n",
       "4           2001 Oriental Blvd,Brooklyn  40.5782   -73.935  \n",
       "5                   300 Jay St,Brooklyn  40.6953  -73.9873  \n",
       "6       222-05 56th Ave,Oakland Gardens   40.756  -73.7565  \n",
       "7         1000 E Henrietta Rd,Rochester  43.1158  -77.6165  \n",
       "8           75 Grasslands Road,Valhalla  41.0687  -73.7907  \n",
       "9               121 Ellicott St,Buffalo  42.8818  -78.8726  \n",
       "10   4585 West Seneca Turnpike,Syracuse  43.0056  -76.1973  \n",
       "11              80 Vandenburgh Ave,Troy  42.6965  -73.6876  \n",
       "12         2155 University Avenue,Bronx  40.8577  -73.9129  \n",
       "13           53 Pendell Rd,Poughkeepsie  41.7265  -73.9043  \n",
       "14               227 W 27th St,New York  40.7469  -73.9943  \n",
       "17                1101 Sherman Dr,Utica  43.0766  -75.2167  \n",
       "18            500 Grand Concourse,Bronx  40.8181  -73.9268  \n",
       "19        907 Upper Front St,Binghamton  42.1377   -75.905  \n",
       "22              115 South St,Middletown  41.4386   -74.426  \n",
       "23            1650 Bedford Ave,Brooklyn  40.6663  -73.9584  \n",
       "24             2501 Jerome Avenue,Bronx   40.864  -73.9003  \n",
       "25     78 Washington Avenue,Schenectady  42.8158  -73.9494  \n",
       "26  3111 Saunders Settlement Rd,Sanborn  43.1472  -78.8774  \n",
       "27                  170 North St,Dryden  42.5014  -76.2981  \n",
       "28            525 Falconer St,Jamestown  42.1139  -79.2173  \n",
       "29               197 Franklin St,Auburn  42.9434  -76.5432  \n",
       "30        81 Willoughby Street,Brooklyn  40.6924   -73.986  \n",
       "33                640 Bay Rd,Queensbury  43.3529  -73.6534  \n",
       "34        10 Upper College Drive,Alfred  42.2559  -77.7969  "
      ]
     },
     "execution_count": 781,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cc_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Location coordinates for the colleges"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['199 Chambers St,New York',\n",
       " '533 College Rd,Selden',\n",
       " '1 Education Dr,Garden City',\n",
       " '31-10 Thomson Ave,Long Island City',\n",
       " '2001 Oriental Blvd,Brooklyn',\n",
       " '300 Jay St,Brooklyn',\n",
       " '222-05 56th Ave,Oakland Gardens',\n",
       " '1000 E Henrietta Rd,Rochester',\n",
       " '75 Grasslands Road,Valhalla',\n",
       " '121 Ellicott St,Buffalo',\n",
       " '4585 West Seneca Turnpike,Syracuse',\n",
       " '80 Vandenburgh Ave,Troy',\n",
       " '2155 University Avenue,Bronx',\n",
       " '53 Pendell Rd,Poughkeepsie',\n",
       " '227 W 27th St,New York',\n",
       " '2350 Broadhollow Road,Farmingdale',\n",
       " '145 College Rd,Suffern',\n",
       " '1101 Sherman Dr,Utica',\n",
       " '500 Grand Concourse,Bronx',\n",
       " '907 Upper Front St,Binghamton',\n",
       " '3325 Marvin Sands Drive,Canandaigua',\n",
       " '115 South St,Middletown',\n",
       " '1650 Bedford Ave,Brooklyn',\n",
       " '2501 Jerome Avenue,Bronx',\n",
       " '78 Washington Avenue,Schenectady',\n",
       " '3111 Saunders Settlement Rd,Sanborn',\n",
       " '170 North St,Dryden',\n",
       " '525 Falconer St,Jamestown',\n",
       " '197 Franklin St,Auburn',\n",
       " '81 Willoughby Street,Brooklyn',\n",
       " '3 East 43 Street,New York',\n",
       " '1 Academic Dr,Corning',\n",
       " '640 Bay Rd,Queensbury',\n",
       " '10 Upper College Drive,Alfred']"
      ]
     },
     "execution_count": 230,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Get the list of location to pass to geopy to get the coordinates.\n",
    "location = list(cc_df['Location'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "Latitude = []\n",
    "Longitude = []\n",
    "for loc in location:\n",
    "    geolocator = Nominatim(user_agent = 'foursquare')\n",
    "    if geolocator.geocode(loc) is None:\n",
    "        Latitude.append('NA')\n",
    "        Longitude.append('NA')\n",
    "    else:\n",
    "        Latitude.append(geolocator.geocode(loc).latitude)\n",
    "        Longitude.append(geolocator.geocode(loc).longitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 278,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(29, 5)\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>College</th>\n",
       "      <th># Students</th>\n",
       "      <th>Location</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>26,606</td>\n",
       "      <td>199 Chambers St,New York</td>\n",
       "      <td>40.7172</td>\n",
       "      <td>-74.0122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Suffolk County Community College</td>\n",
       "      <td>26,600</td>\n",
       "      <td>533 College Rd,Selden</td>\n",
       "      <td>40.8486</td>\n",
       "      <td>-73.059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Nassau Community College</td>\n",
       "      <td>22,374</td>\n",
       "      <td>1 Education Dr,Garden City</td>\n",
       "      <td>40.0548</td>\n",
       "      <td>-86.943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>20,231</td>\n",
       "      <td>31-10 Thomson Ave,Long Island City</td>\n",
       "      <td>40.7464</td>\n",
       "      <td>-73.9426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Kingsborough Community College</td>\n",
       "      <td>19,145</td>\n",
       "      <td>2001 Oriental Blvd,Brooklyn</td>\n",
       "      <td>40.5782</td>\n",
       "      <td>-73.935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CUNY New York City College of Technology</td>\n",
       "      <td>16,967</td>\n",
       "      <td>300 Jay St,Brooklyn</td>\n",
       "      <td>40.6953</td>\n",
       "      <td>-73.9873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CUNY Queensborough Community College</td>\n",
       "      <td>16,182</td>\n",
       "      <td>222-05 56th Ave,Oakland Gardens</td>\n",
       "      <td>40.756</td>\n",
       "      <td>-73.7565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Monroe Community College</td>\n",
       "      <td>15,335</td>\n",
       "      <td>1000 E Henrietta Rd,Rochester</td>\n",
       "      <td>43.1158</td>\n",
       "      <td>-77.6165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SUNY Westchester Community College</td>\n",
       "      <td>13,916</td>\n",
       "      <td>75 Grasslands Road,Valhalla</td>\n",
       "      <td>41.0687</td>\n",
       "      <td>-73.7907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>12,733</td>\n",
       "      <td>121 Ellicott St,Buffalo</td>\n",
       "      <td>42.8818</td>\n",
       "      <td>-78.8726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Onondaga Community College</td>\n",
       "      <td>12,271</td>\n",
       "      <td>4585 West Seneca Turnpike,Syracuse</td>\n",
       "      <td>43.0056</td>\n",
       "      <td>-76.1973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>11,640</td>\n",
       "      <td>80 Vandenburgh Ave,Troy</td>\n",
       "      <td>42.6965</td>\n",
       "      <td>-73.6876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>11,506</td>\n",
       "      <td>2155 University Avenue,Bronx</td>\n",
       "      <td>40.8577</td>\n",
       "      <td>-73.9129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Dutchess Community College</td>\n",
       "      <td>9,905</td>\n",
       "      <td>53 Pendell Rd,Poughkeepsie</td>\n",
       "      <td>41.7265</td>\n",
       "      <td>-73.9043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>9,764</td>\n",
       "      <td>227 W 27th St,New York</td>\n",
       "      <td>40.7469</td>\n",
       "      <td>-73.9943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Mohawk Valley Community College</td>\n",
       "      <td>7,149</td>\n",
       "      <td>1101 Sherman Dr,Utica</td>\n",
       "      <td>43.0766</td>\n",
       "      <td>-75.2167</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>6,985</td>\n",
       "      <td>500 Grand Concourse,Bronx</td>\n",
       "      <td>40.8181</td>\n",
       "      <td>-73.9268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SUNY Broome Community College</td>\n",
       "      <td>6,924</td>\n",
       "      <td>907 Upper Front St,Binghamton</td>\n",
       "      <td>42.1377</td>\n",
       "      <td>-75.905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Orange County Community College</td>\n",
       "      <td>6,754</td>\n",
       "      <td>115 South St,Middletown</td>\n",
       "      <td>41.4386</td>\n",
       "      <td>-74.426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>6,701</td>\n",
       "      <td>1650 Bedford Ave,Brooklyn</td>\n",
       "      <td>40.6663</td>\n",
       "      <td>-73.9584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>6,601</td>\n",
       "      <td>2501 Jerome Avenue,Bronx</td>\n",
       "      <td>40.864</td>\n",
       "      <td>-73.9003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>6,497</td>\n",
       "      <td>78 Washington Avenue,Schenectady</td>\n",
       "      <td>42.8158</td>\n",
       "      <td>-73.9494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Niagara County Community College</td>\n",
       "      <td>6,478</td>\n",
       "      <td>3111 Saunders Settlement Rd,Sanborn</td>\n",
       "      <td>43.1472</td>\n",
       "      <td>-78.8774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Tompkins Cortland Community College</td>\n",
       "      <td>5,559</td>\n",
       "      <td>170 North St,Dryden</td>\n",
       "      <td>42.5014</td>\n",
       "      <td>-76.2981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Jamestown Community College</td>\n",
       "      <td>5,065</td>\n",
       "      <td>525 Falconer St,Jamestown</td>\n",
       "      <td>42.1139</td>\n",
       "      <td>-79.2173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Cayuga County Community College</td>\n",
       "      <td>4,633</td>\n",
       "      <td>197 Franklin St,Auburn</td>\n",
       "      <td>42.9434</td>\n",
       "      <td>-76.5432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>4,624</td>\n",
       "      <td>81 Willoughby Street,Brooklyn</td>\n",
       "      <td>40.6924</td>\n",
       "      <td>-73.986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>4,247</td>\n",
       "      <td>640 Bay Rd,Queensbury</td>\n",
       "      <td>43.3529</td>\n",
       "      <td>-73.6534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>SUNY College of Technology at Alfred</td>\n",
       "      <td>3,661</td>\n",
       "      <td>10 Upper College Drive,Alfred</td>\n",
       "      <td>42.2559</td>\n",
       "      <td>-77.7969</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        College # Students  \\\n",
       "0   CUNY Borough of Manhattan Community College     26,606   \n",
       "1              Suffolk County Community College     26,600   \n",
       "2                      Nassau Community College     22,374   \n",
       "3              CUNY LaGuardia Community College     20,231   \n",
       "4           CUNY Kingsborough Community College     19,145   \n",
       "5      CUNY New York City College of Technology     16,967   \n",
       "6          CUNY Queensborough Community College     16,182   \n",
       "7                      Monroe Community College     15,335   \n",
       "8            SUNY Westchester Community College     13,916   \n",
       "9                        Erie Community College     12,733   \n",
       "10                   Onondaga Community College     12,271   \n",
       "11              Hudson Valley Community College     11,640   \n",
       "12                 CUNY Bronx Community College     11,506   \n",
       "13                   Dutchess Community College      9,905   \n",
       "14              Fashion Institute of Technology      9,764   \n",
       "17              Mohawk Valley Community College      7,149   \n",
       "18                CUNY Hostos Community College      6,985   \n",
       "19                SUNY Broome Community College      6,924   \n",
       "22              Orange County Community College      6,754   \n",
       "23                    CUNY Medgar Evers College      6,701   \n",
       "24                               Monroe College      6,601   \n",
       "25         Schenectady County Community College      6,497   \n",
       "26             Niagara County Community College      6,478   \n",
       "27          Tompkins Cortland Community College      5,559   \n",
       "28                  Jamestown Community College      5,065   \n",
       "29              Cayuga County Community College      4,633   \n",
       "30                                  ASA College      4,624   \n",
       "33                 Adirondack Community College      4,247   \n",
       "34         SUNY College of Technology at Alfred      3,661   \n",
       "\n",
       "                               Location Latitude Longitude  \n",
       "0              199 Chambers St,New York  40.7172  -74.0122  \n",
       "1                 533 College Rd,Selden  40.8486   -73.059  \n",
       "2            1 Education Dr,Garden City  40.0548   -86.943  \n",
       "3    31-10 Thomson Ave,Long Island City  40.7464  -73.9426  \n",
       "4           2001 Oriental Blvd,Brooklyn  40.5782   -73.935  \n",
       "5                   300 Jay St,Brooklyn  40.6953  -73.9873  \n",
       "6       222-05 56th Ave,Oakland Gardens   40.756  -73.7565  \n",
       "7         1000 E Henrietta Rd,Rochester  43.1158  -77.6165  \n",
       "8           75 Grasslands Road,Valhalla  41.0687  -73.7907  \n",
       "9               121 Ellicott St,Buffalo  42.8818  -78.8726  \n",
       "10   4585 West Seneca Turnpike,Syracuse  43.0056  -76.1973  \n",
       "11              80 Vandenburgh Ave,Troy  42.6965  -73.6876  \n",
       "12         2155 University Avenue,Bronx  40.8577  -73.9129  \n",
       "13           53 Pendell Rd,Poughkeepsie  41.7265  -73.9043  \n",
       "14               227 W 27th St,New York  40.7469  -73.9943  \n",
       "17                1101 Sherman Dr,Utica  43.0766  -75.2167  \n",
       "18            500 Grand Concourse,Bronx  40.8181  -73.9268  \n",
       "19        907 Upper Front St,Binghamton  42.1377   -75.905  \n",
       "22              115 South St,Middletown  41.4386   -74.426  \n",
       "23            1650 Bedford Ave,Brooklyn  40.6663  -73.9584  \n",
       "24             2501 Jerome Avenue,Bronx   40.864  -73.9003  \n",
       "25     78 Washington Avenue,Schenectady  42.8158  -73.9494  \n",
       "26  3111 Saunders Settlement Rd,Sanborn  43.1472  -78.8774  \n",
       "27                  170 North St,Dryden  42.5014  -76.2981  \n",
       "28            525 Falconer St,Jamestown  42.1139  -79.2173  \n",
       "29               197 Franklin St,Auburn  42.9434  -76.5432  \n",
       "30        81 Willoughby Street,Brooklyn  40.6924   -73.986  \n",
       "33                640 Bay Rd,Queensbury  43.3529  -73.6534  \n",
       "34        10 Upper College Drive,Alfred  42.2559  -77.7969  "
      ]
     },
     "execution_count": 278,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We can get the location coordinates of the 5 colleges through other methods.\n",
    "# But or the sake of simplicity, let's drop all the NA values.\n",
    "\n",
    "cc_df.drop([15,16,21,31,32], inplace = True)\n",
    "print(cc_df.shape)\n",
    "cc_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### We are left with 29 community colleges in total."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 728,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_6c78aa8bae104985adc0f323a34b3c6c {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_6c78aa8bae104985adc0f323a34b3c6c" ></div>
        
</body>
<script>    
    
            var map_6c78aa8bae104985adc0f323a34b3c6c = L.map(
                "map_6c78aa8bae104985adc0f323a34b3c6c",
                {
                    center: [40.7128, -74.006],
                    crs: L.CRS.EPSG3857,
                    zoom: 6,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_886eeeba70d34527bc1e19f7845c22a7 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
            var circle_marker_152bae116a1b4ce88f0cd8f8523e461f = L.circleMarker(
                [40.7172487, -74.0121804],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_478ba93cdbc8495b9929998a46080980 = L.popup({"maxWidth": "100%"});

        
            var html_955700778ad9443a9463b56e77239db4 = $(`<div id="html_955700778ad9443a9463b56e77239db4" style="width: 100.0%; height: 100.0%;">CUNY Borough of Manhattan Community College</div>`)[0];
            popup_478ba93cdbc8495b9929998a46080980.setContent(html_955700778ad9443a9463b56e77239db4);
        

        circle_marker_152bae116a1b4ce88f0cd8f8523e461f.bindPopup(popup_478ba93cdbc8495b9929998a46080980)
        ;

        
    
    
            var circle_marker_46d5f874c58a48f285ce2650e2da297f = L.circleMarker(
                [40.8486088, -73.0590238],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_dbcfc144c3294dc282360ba324bd3097 = L.popup({"maxWidth": "100%"});

        
            var html_3a29e52f844a4de4b4ad9af38180ccdb = $(`<div id="html_3a29e52f844a4de4b4ad9af38180ccdb" style="width: 100.0%; height: 100.0%;">Suffolk County Community College</div>`)[0];
            popup_dbcfc144c3294dc282360ba324bd3097.setContent(html_3a29e52f844a4de4b4ad9af38180ccdb);
        

        circle_marker_46d5f874c58a48f285ce2650e2da297f.bindPopup(popup_dbcfc144c3294dc282360ba324bd3097)
        ;

        
    
    
            var circle_marker_341b3d7cd7c24297937662fc89494e5d = L.circleMarker(
                [40.054826, -86.943048],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_e24f7098949b41a8ba710369daf46501 = L.popup({"maxWidth": "100%"});

        
            var html_df33c3a813b94b75a5db18cc67cabb90 = $(`<div id="html_df33c3a813b94b75a5db18cc67cabb90" style="width: 100.0%; height: 100.0%;">Nassau Community College</div>`)[0];
            popup_e24f7098949b41a8ba710369daf46501.setContent(html_df33c3a813b94b75a5db18cc67cabb90);
        

        circle_marker_341b3d7cd7c24297937662fc89494e5d.bindPopup(popup_e24f7098949b41a8ba710369daf46501)
        ;

        
    
    
            var circle_marker_bd684cd742c24bd39caed5bfaa6793a0 = L.circleMarker(
                [40.7463575, -73.9425968],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_0f21b026e8b7417096f33899a9259131 = L.popup({"maxWidth": "100%"});

        
            var html_a429aba80a9d4d38a2ce4d3597b295ff = $(`<div id="html_a429aba80a9d4d38a2ce4d3597b295ff" style="width: 100.0%; height: 100.0%;">CUNY LaGuardia Community College</div>`)[0];
            popup_0f21b026e8b7417096f33899a9259131.setContent(html_a429aba80a9d4d38a2ce4d3597b295ff);
        

        circle_marker_bd684cd742c24bd39caed5bfaa6793a0.bindPopup(popup_0f21b026e8b7417096f33899a9259131)
        ;

        
    
    
            var circle_marker_8224975e07db4c2eacd30e10f81eb61b = L.circleMarker(
                [40.578191849999996, -73.93496554856793],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_7a2133a96a8648efb47f6faa33c0a859 = L.popup({"maxWidth": "100%"});

        
            var html_fc9248d67f444a2abe51a3d1a49212a8 = $(`<div id="html_fc9248d67f444a2abe51a3d1a49212a8" style="width: 100.0%; height: 100.0%;">CUNY Kingsborough Community College</div>`)[0];
            popup_7a2133a96a8648efb47f6faa33c0a859.setContent(html_fc9248d67f444a2abe51a3d1a49212a8);
        

        circle_marker_8224975e07db4c2eacd30e10f81eb61b.bindPopup(popup_7a2133a96a8648efb47f6faa33c0a859)
        ;

        
    
    
            var circle_marker_4b0bccb6d56246ae96b31ae51f6c4367 = L.circleMarker(
                [40.6952788, -73.9873073],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_3a70a3fb893b4f71a5ab7e2120cfe20a = L.popup({"maxWidth": "100%"});

        
            var html_da3d4cb394ff4a789c54a82074d1a31c = $(`<div id="html_da3d4cb394ff4a789c54a82074d1a31c" style="width: 100.0%; height: 100.0%;">CUNY New York City College of Technology</div>`)[0];
            popup_3a70a3fb893b4f71a5ab7e2120cfe20a.setContent(html_da3d4cb394ff4a789c54a82074d1a31c);
        

        circle_marker_4b0bccb6d56246ae96b31ae51f6c4367.bindPopup(popup_3a70a3fb893b4f71a5ab7e2120cfe20a)
        ;

        
    
    
            var circle_marker_479408da125e4351a73c6a1884651677 = L.circleMarker(
                [40.75602515, -73.7565401216789],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_a646b4530a4440279e7080e651f02d21 = L.popup({"maxWidth": "100%"});

        
            var html_26f12f627b2743468c8052fd25e73c42 = $(`<div id="html_26f12f627b2743468c8052fd25e73c42" style="width: 100.0%; height: 100.0%;">CUNY Queensborough Community College</div>`)[0];
            popup_a646b4530a4440279e7080e651f02d21.setContent(html_26f12f627b2743468c8052fd25e73c42);
        

        circle_marker_479408da125e4351a73c6a1884651677.bindPopup(popup_a646b4530a4440279e7080e651f02d21)
        ;

        
    
    
            var circle_marker_8c30afcb93cd497f915828b5f9405175 = L.circleMarker(
                [43.115784, -77.6165377],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_6ef30c834ddc4cc9ae2ad38863dad9fe = L.popup({"maxWidth": "100%"});

        
            var html_1f00d95ccb3c48fda9eee52871997c83 = $(`<div id="html_1f00d95ccb3c48fda9eee52871997c83" style="width: 100.0%; height: 100.0%;">Monroe Community College</div>`)[0];
            popup_6ef30c834ddc4cc9ae2ad38863dad9fe.setContent(html_1f00d95ccb3c48fda9eee52871997c83);
        

        circle_marker_8c30afcb93cd497f915828b5f9405175.bindPopup(popup_6ef30c834ddc4cc9ae2ad38863dad9fe)
        ;

        
    
    
            var circle_marker_f80b62ab5e0943dab4fe1a99a96977f5 = L.circleMarker(
                [41.0687078, -73.7906885],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_f655fd4d570b497ea13e13cd2dce6662 = L.popup({"maxWidth": "100%"});

        
            var html_7904d93139ca4676ae5b93790817da6e = $(`<div id="html_7904d93139ca4676ae5b93790817da6e" style="width: 100.0%; height: 100.0%;">SUNY Westchester Community College</div>`)[0];
            popup_f655fd4d570b497ea13e13cd2dce6662.setContent(html_7904d93139ca4676ae5b93790817da6e);
        

        circle_marker_f80b62ab5e0943dab4fe1a99a96977f5.bindPopup(popup_f655fd4d570b497ea13e13cd2dce6662)
        ;

        
    
    
            var circle_marker_6d0c76a690d5440b950338ef7811ac13 = L.circleMarker(
                [42.881776599999995, -78.87262327214984],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_2226963f92d24654b2e297cf5ca964fa = L.popup({"maxWidth": "100%"});

        
            var html_696a7334821d4cafa2a09f6b156753c1 = $(`<div id="html_696a7334821d4cafa2a09f6b156753c1" style="width: 100.0%; height: 100.0%;">Erie Community College</div>`)[0];
            popup_2226963f92d24654b2e297cf5ca964fa.setContent(html_696a7334821d4cafa2a09f6b156753c1);
        

        circle_marker_6d0c76a690d5440b950338ef7811ac13.bindPopup(popup_2226963f92d24654b2e297cf5ca964fa)
        ;

        
    
    
            var circle_marker_ee66666d83fc4b83a33d72300ade0da1 = L.circleMarker(
                [43.00564765, -76.19734280374506],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_2f4ddae8ac1e44cc9a3519f74e64a524 = L.popup({"maxWidth": "100%"});

        
            var html_d83e3b60cd0e4a19ada8344622c4da62 = $(`<div id="html_d83e3b60cd0e4a19ada8344622c4da62" style="width: 100.0%; height: 100.0%;">Onondaga Community College</div>`)[0];
            popup_2f4ddae8ac1e44cc9a3519f74e64a524.setContent(html_d83e3b60cd0e4a19ada8344622c4da62);
        

        circle_marker_ee66666d83fc4b83a33d72300ade0da1.bindPopup(popup_2f4ddae8ac1e44cc9a3519f74e64a524)
        ;

        
    
    
            var circle_marker_fee61015f7424df1b650822dce9a20d3 = L.circleMarker(
                [42.6964666, -73.6876308],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_a62bae6c7e9b4f1db066b7dda7194dec = L.popup({"maxWidth": "100%"});

        
            var html_9129acd630aa4cd8997541310810bb7c = $(`<div id="html_9129acd630aa4cd8997541310810bb7c" style="width: 100.0%; height: 100.0%;">Hudson Valley Community College</div>`)[0];
            popup_a62bae6c7e9b4f1db066b7dda7194dec.setContent(html_9129acd630aa4cd8997541310810bb7c);
        

        circle_marker_fee61015f7424df1b650822dce9a20d3.bindPopup(popup_a62bae6c7e9b4f1db066b7dda7194dec)
        ;

        
    
    
            var circle_marker_1aa4cf2f48af45d2b5d04e017da23d7b = L.circleMarker(
                [40.857684649999996, -73.91289615614554],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_a02843db85884a35b0916f412248503e = L.popup({"maxWidth": "100%"});

        
            var html_8763fc67873a4d1ab7ae16e86ae31f5d = $(`<div id="html_8763fc67873a4d1ab7ae16e86ae31f5d" style="width: 100.0%; height: 100.0%;">CUNY Bronx Community College</div>`)[0];
            popup_a02843db85884a35b0916f412248503e.setContent(html_8763fc67873a4d1ab7ae16e86ae31f5d);
        

        circle_marker_1aa4cf2f48af45d2b5d04e017da23d7b.bindPopup(popup_a02843db85884a35b0916f412248503e)
        ;

        
    
    
            var circle_marker_ba96c652baf1443ebd3def14b65954e1 = L.circleMarker(
                [41.7265095, -73.9042614],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_6e2f5cef22ec4698a66daac2737bc7d4 = L.popup({"maxWidth": "100%"});

        
            var html_e7d5132559c54980bb73228776959daa = $(`<div id="html_e7d5132559c54980bb73228776959daa" style="width: 100.0%; height: 100.0%;">Dutchess Community College</div>`)[0];
            popup_6e2f5cef22ec4698a66daac2737bc7d4.setContent(html_e7d5132559c54980bb73228776959daa);
        

        circle_marker_ba96c652baf1443ebd3def14b65954e1.bindPopup(popup_6e2f5cef22ec4698a66daac2737bc7d4)
        ;

        
    
    
            var circle_marker_fb081cb5418c4f3cb74b69d6bd763bbf = L.circleMarker(
                [40.746908653061226, -73.99427475510204],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_68768727685f452bbbfca0e3592d871a = L.popup({"maxWidth": "100%"});

        
            var html_b100c02a984443d79b8f172e71851480 = $(`<div id="html_b100c02a984443d79b8f172e71851480" style="width: 100.0%; height: 100.0%;">Fashion Institute of Technology</div>`)[0];
            popup_68768727685f452bbbfca0e3592d871a.setContent(html_b100c02a984443d79b8f172e71851480);
        

        circle_marker_fb081cb5418c4f3cb74b69d6bd763bbf.bindPopup(popup_68768727685f452bbbfca0e3592d871a)
        ;

        
    
    
            var circle_marker_a93774f2991a43589a3284d7d046655b = L.circleMarker(
                [43.076606, -75.21665985048875],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_55b0f1f176fc40d38f26873b68fa9e06 = L.popup({"maxWidth": "100%"});

        
            var html_a85594f4452241108b443d15f8808a7a = $(`<div id="html_a85594f4452241108b443d15f8808a7a" style="width: 100.0%; height: 100.0%;">Mohawk Valley Community College</div>`)[0];
            popup_55b0f1f176fc40d38f26873b68fa9e06.setContent(html_a85594f4452241108b443d15f8808a7a);
        

        circle_marker_a93774f2991a43589a3284d7d046655b.bindPopup(popup_55b0f1f176fc40d38f26873b68fa9e06)
        ;

        
    
    
            var circle_marker_e545fc4a7bb04f569d64b89f71c102fe = L.circleMarker(
                [40.8180719, -73.9268413875],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_ba61aab5edb241e6ad2c40a75c1b217c = L.popup({"maxWidth": "100%"});

        
            var html_ef56ea8c723643b8975088ad354aefcc = $(`<div id="html_ef56ea8c723643b8975088ad354aefcc" style="width: 100.0%; height: 100.0%;">CUNY Hostos Community College</div>`)[0];
            popup_ba61aab5edb241e6ad2c40a75c1b217c.setContent(html_ef56ea8c723643b8975088ad354aefcc);
        

        circle_marker_e545fc4a7bb04f569d64b89f71c102fe.bindPopup(popup_ba61aab5edb241e6ad2c40a75c1b217c)
        ;

        
    
    
            var circle_marker_10334eb8f47f4b6190fb6a350cf6251c = L.circleMarker(
                [42.1377063338942, -75.90504550530397],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_87d02c8f31f64047a77258fac5a0157d = L.popup({"maxWidth": "100%"});

        
            var html_b020bf2119204ee08fcd04def33b5c7b = $(`<div id="html_b020bf2119204ee08fcd04def33b5c7b" style="width: 100.0%; height: 100.0%;">SUNY Broome Community College</div>`)[0];
            popup_87d02c8f31f64047a77258fac5a0157d.setContent(html_b020bf2119204ee08fcd04def33b5c7b);
        

        circle_marker_10334eb8f47f4b6190fb6a350cf6251c.bindPopup(popup_87d02c8f31f64047a77258fac5a0157d)
        ;

        
    
    
            var circle_marker_b63456bc0acb4dd6a6ba707402c6ff3d = L.circleMarker(
                [41.4386372, -74.42600776186225],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_a406b0abf68b449886766c1a43c35fe4 = L.popup({"maxWidth": "100%"});

        
            var html_5030d4dfc2f84d58be2b839ea75b95e2 = $(`<div id="html_5030d4dfc2f84d58be2b839ea75b95e2" style="width: 100.0%; height: 100.0%;">Orange County Community College</div>`)[0];
            popup_a406b0abf68b449886766c1a43c35fe4.setContent(html_5030d4dfc2f84d58be2b839ea75b95e2);
        

        circle_marker_b63456bc0acb4dd6a6ba707402c6ff3d.bindPopup(popup_a406b0abf68b449886766c1a43c35fe4)
        ;

        
    
    
            var circle_marker_4e3b03e2024a4e69a1c88d3070ca873d = L.circleMarker(
                [40.6662941, -73.95836331384717],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_2c046147daa64c78a622aff73bde326b = L.popup({"maxWidth": "100%"});

        
            var html_607bd85b94b642119c0d076dadd28039 = $(`<div id="html_607bd85b94b642119c0d076dadd28039" style="width: 100.0%; height: 100.0%;">CUNY Medgar Evers College</div>`)[0];
            popup_2c046147daa64c78a622aff73bde326b.setContent(html_607bd85b94b642119c0d076dadd28039);
        

        circle_marker_4e3b03e2024a4e69a1c88d3070ca873d.bindPopup(popup_2c046147daa64c78a622aff73bde326b)
        ;

        
    
    
            var circle_marker_a82d06d4e6ff45419716ad9e2224917c = L.circleMarker(
                [40.864011, -73.9003313],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_bde55759d7b24381b5a1db2d1578ffad = L.popup({"maxWidth": "100%"});

        
            var html_9ec2199ce81e4bde8086f92708b1b95b = $(`<div id="html_9ec2199ce81e4bde8086f92708b1b95b" style="width: 100.0%; height: 100.0%;">Monroe College</div>`)[0];
            popup_bde55759d7b24381b5a1db2d1578ffad.setContent(html_9ec2199ce81e4bde8086f92708b1b95b);
        

        circle_marker_a82d06d4e6ff45419716ad9e2224917c.bindPopup(popup_bde55759d7b24381b5a1db2d1578ffad)
        ;

        
    
    
            var circle_marker_9086107929324e8081b2a28c7a185cd1 = L.circleMarker(
                [42.81576851724138, -73.94937124137931],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_c0b6af5c401c4d9eb34f56f4dd9d3da1 = L.popup({"maxWidth": "100%"});

        
            var html_cbf0a76041ab4afe829fa2229a186ef9 = $(`<div id="html_cbf0a76041ab4afe829fa2229a186ef9" style="width: 100.0%; height: 100.0%;">Schenectady County Community College</div>`)[0];
            popup_c0b6af5c401c4d9eb34f56f4dd9d3da1.setContent(html_cbf0a76041ab4afe829fa2229a186ef9);
        

        circle_marker_9086107929324e8081b2a28c7a185cd1.bindPopup(popup_c0b6af5c401c4d9eb34f56f4dd9d3da1)
        ;

        
    
    
            var circle_marker_4321f8c4eed34c16b35e2b35fd7e1ba6 = L.circleMarker(
                [43.14722585, -78.87737447655854],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_660b4582dce548f284fd46f92d71d675 = L.popup({"maxWidth": "100%"});

        
            var html_08af1b4e9c3d430787c3fc747ea0de0c = $(`<div id="html_08af1b4e9c3d430787c3fc747ea0de0c" style="width: 100.0%; height: 100.0%;">Niagara County Community College</div>`)[0];
            popup_660b4582dce548f284fd46f92d71d675.setContent(html_08af1b4e9c3d430787c3fc747ea0de0c);
        

        circle_marker_4321f8c4eed34c16b35e2b35fd7e1ba6.bindPopup(popup_660b4582dce548f284fd46f92d71d675)
        ;

        
    
    
            var circle_marker_2bf5f9bbd8cc49eabd5bd5532164f0d9 = L.circleMarker(
                [42.50143525925926, -76.29813185185185],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_c3762162bbb34b798d72610ab7c84ee2 = L.popup({"maxWidth": "100%"});

        
            var html_e078f167b9244977ab8ffcd486238141 = $(`<div id="html_e078f167b9244977ab8ffcd486238141" style="width: 100.0%; height: 100.0%;">Tompkins Cortland Community College</div>`)[0];
            popup_c3762162bbb34b798d72610ab7c84ee2.setContent(html_e078f167b9244977ab8ffcd486238141);
        

        circle_marker_2bf5f9bbd8cc49eabd5bd5532164f0d9.bindPopup(popup_c3762162bbb34b798d72610ab7c84ee2)
        ;

        
    
    
            var circle_marker_329bd0aa72984ddd827eeb734d3d9cf4 = L.circleMarker(
                [42.113895521606025, -79.21725503718862],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_36181b742eaa4bba80c517feaae623cb = L.popup({"maxWidth": "100%"});

        
            var html_a3e712cd4db84044b39779dadf4cf528 = $(`<div id="html_a3e712cd4db84044b39779dadf4cf528" style="width: 100.0%; height: 100.0%;">Jamestown Community College</div>`)[0];
            popup_36181b742eaa4bba80c517feaae623cb.setContent(html_a3e712cd4db84044b39779dadf4cf528);
        

        circle_marker_329bd0aa72984ddd827eeb734d3d9cf4.bindPopup(popup_36181b742eaa4bba80c517feaae623cb)
        ;

        
    
    
            var circle_marker_3404b37839e54a1fa595341ba1dc9f1e = L.circleMarker(
                [42.9434118, -76.543207],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_bce165a8c9d04074bed15304206745cd = L.popup({"maxWidth": "100%"});

        
            var html_2dbabf00ed6c433cb0b9048bce46661e = $(`<div id="html_2dbabf00ed6c433cb0b9048bce46661e" style="width: 100.0%; height: 100.0%;">Cayuga County Community College</div>`)[0];
            popup_bce165a8c9d04074bed15304206745cd.setContent(html_2dbabf00ed6c433cb0b9048bce46661e);
        

        circle_marker_3404b37839e54a1fa595341ba1dc9f1e.bindPopup(popup_bce165a8c9d04074bed15304206745cd)
        ;

        
    
    
            var circle_marker_9eba9f4e01ca47e1a5d219e6e18e76e5 = L.circleMarker(
                [40.6924117, -73.98597075461413],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_1998220aa2774ebfb43053d76342bab8 = L.popup({"maxWidth": "100%"});

        
            var html_a2125ab7c9334221920948cdbc9cd539 = $(`<div id="html_a2125ab7c9334221920948cdbc9cd539" style="width: 100.0%; height: 100.0%;">ASA College</div>`)[0];
            popup_1998220aa2774ebfb43053d76342bab8.setContent(html_a2125ab7c9334221920948cdbc9cd539);
        

        circle_marker_9eba9f4e01ca47e1a5d219e6e18e76e5.bindPopup(popup_1998220aa2774ebfb43053d76342bab8)
        ;

        
    
    
            var circle_marker_cdaf3fd5074a4c539f8aebed59298248 = L.circleMarker(
                [43.35293815, -73.65337333490109],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_2eec47febf164d2185569d618280f36f = L.popup({"maxWidth": "100%"});

        
            var html_a4ac2651c4f44921b6c9d7cbd6c5bb2b = $(`<div id="html_a4ac2651c4f44921b6c9d7cbd6c5bb2b" style="width: 100.0%; height: 100.0%;">Adirondack Community College</div>`)[0];
            popup_2eec47febf164d2185569d618280f36f.setContent(html_a4ac2651c4f44921b6c9d7cbd6c5bb2b);
        

        circle_marker_cdaf3fd5074a4c539f8aebed59298248.bindPopup(popup_2eec47febf164d2185569d618280f36f)
        ;

        
    
    
            var circle_marker_5b064618638049d5a1769c2c48a85d52 = L.circleMarker(
                [42.25594402828572, -77.79693517144442],
                {"bubblingMouseEvents": true, "color": "blue", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#3186cc", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_6c78aa8bae104985adc0f323a34b3c6c);
        
    
        var popup_242134854e2f4f1bb219c47e4e56c664 = L.popup({"maxWidth": "100%"});

        
            var html_e094a74d1f504f5aaf3c02069bacb35c = $(`<div id="html_e094a74d1f504f5aaf3c02069bacb35c" style="width: 100.0%; height: 100.0%;">SUNY College of Technology at Alfred</div>`)[0];
            popup_242134854e2f4f1bb219c47e4e56c664.setContent(html_e094a74d1f504f5aaf3c02069bacb35c);
        

        circle_marker_5b064618638049d5a1769c2c48a85d52.bindPopup(popup_242134854e2f4f1bb219c47e4e56c664)
        ;

        
    
</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 0x2022539c2e8>"
      ]
     },
     "execution_count": 728,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ny_map = folium.Map(location = [40.7128, -74.0060],zoom_start = 6)\n",
    "\n",
    "for lat,lng,col in zip(cc_df['Latitude'],cc_df['Longitude'],cc_df['College']):\n",
    "    label = folium.Popup(col, parse_html = True)\n",
    "    folium.CircleMarker(\n",
    "        [lat,lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(ny_map)\n",
    "        \n",
    "\n",
    "ny_map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define foursquare Credentials"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 582,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID = 'K4LYUFZPJ30CIXXXXXCV5CFDAUWT0TS2U3G1ZV2TA15XXXXXX' # your Foursquare ID\n",
    "CLIENT_SECRET = 'DFLWK3MJTXXXXXZDBPPPYSW544HGNGKRWOUQMD02UFXXXXXX' # your Foursquare Secret\n",
    "VERSION = '20180604'\n",
    "LIMIT = 30\n",
    "radius = 200 #The radius should be less as it should be close to the hostel."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's create a function to get all the nearby pubs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 587,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=200):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['College', \n",
    "                  'College Latitude', \n",
    "                  'College Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 588,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CUNY Borough of Manhattan Community College\n",
      "Suffolk County Community College\n",
      "Nassau Community College\n",
      "CUNY LaGuardia Community College\n",
      "CUNY Kingsborough Community College\n",
      "CUNY New York City College of Technology\n",
      "CUNY Queensborough Community College\n",
      "Monroe Community College\n",
      "SUNY Westchester Community College\n",
      "Erie Community College\n",
      "Onondaga Community College\n",
      "Hudson Valley Community College\n",
      "CUNY Bronx Community College\n",
      "Dutchess Community College\n",
      "Fashion Institute of Technology\n",
      "Mohawk Valley Community College\n",
      "CUNY Hostos Community College\n",
      "SUNY Broome Community College\n",
      "Orange County Community College\n",
      "CUNY Medgar Evers College\n",
      "Monroe College\n",
      "Schenectady County Community College\n",
      "Niagara County Community College\n",
      "Tompkins Cortland Community College\n",
      "Jamestown Community College\n",
      "Cayuga County Community College\n",
      "ASA College\n",
      "Adirondack Community College\n",
      "SUNY College of Technology at Alfred\n"
     ]
    }
   ],
   "source": [
    "ny_venues = getNearbyVenues(names=cc_df['College'],\n",
    "                            latitudes=cc_df['Latitude'],\n",
    "                            longitudes=cc_df['Longitude']\n",
    "                            )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 589,
   "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>College</th>\n",
       "      <th>College Latitude</th>\n",
       "      <th>College Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Washington Market Park</td>\n",
       "      <td>40.717046</td>\n",
       "      <td>-74.011095</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Whole Foods Market</td>\n",
       "      <td>40.715579</td>\n",
       "      <td>-74.011368</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>SoulCycle TriBeCa</td>\n",
       "      <td>40.716178</td>\n",
       "      <td>-74.013007</td>\n",
       "      <td>Cycle Studio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Tribeca Performing Arts Center</td>\n",
       "      <td>40.717594</td>\n",
       "      <td>-74.012198</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Polarn O. Pyret</td>\n",
       "      <td>40.716737</td>\n",
       "      <td>-74.011987</td>\n",
       "      <td>Kids Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Laughing Man Coffee &amp; Tea</td>\n",
       "      <td>40.717394</td>\n",
       "      <td>-74.010103</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Tribeca Greenmarket</td>\n",
       "      <td>40.716802</td>\n",
       "      <td>-74.010880</td>\n",
       "      <td>Farmers Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Barnes &amp; Noble</td>\n",
       "      <td>40.715605</td>\n",
       "      <td>-74.011786</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Muse Paintbar</td>\n",
       "      <td>40.717701</td>\n",
       "      <td>-74.010549</td>\n",
       "      <td>Art Gallery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>The Palm</td>\n",
       "      <td>40.716348</td>\n",
       "      <td>-74.012998</td>\n",
       "      <td>Steakhouse</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Stuyvesant High School</td>\n",
       "      <td>40.717609</td>\n",
       "      <td>-74.013203</td>\n",
       "      <td>High School</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Citi Bike Station</td>\n",
       "      <td>40.717405</td>\n",
       "      <td>-74.013020</td>\n",
       "      <td>Bike Rental / Bike Share</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Gigino Trattoria</td>\n",
       "      <td>40.717300</td>\n",
       "      <td>-74.010688</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Hudson River Park Basketball Court</td>\n",
       "      <td>40.718763</td>\n",
       "      <td>-74.012985</td>\n",
       "      <td>Basketball Court</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Battery Park City Ballfields</td>\n",
       "      <td>40.715979</td>\n",
       "      <td>-74.013604</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Gourmet Market</td>\n",
       "      <td>40.717216</td>\n",
       "      <td>-74.014312</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Downtown Community Center</td>\n",
       "      <td>40.716262</td>\n",
       "      <td>-74.012576</td>\n",
       "      <td>Community Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>Duane Park Patisserie</td>\n",
       "      <td>40.717338</td>\n",
       "      <td>-74.009988</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.012180</td>\n",
       "      <td>The Hideaway</td>\n",
       "      <td>40.717440</td>\n",
       "      <td>-74.010384</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Suffolk County Community College</td>\n",
       "      <td>40.848609</td>\n",
       "      <td>-73.059024</td>\n",
       "      <td>Islip Arts Building</td>\n",
       "      <td>40.849296</td>\n",
       "      <td>-73.058140</td>\n",
       "      <td>College Arts Building</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Partners Coffee</td>\n",
       "      <td>40.747569</td>\n",
       "      <td>-73.941455</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Levante</td>\n",
       "      <td>40.747518</td>\n",
       "      <td>-73.941590</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Book Culture</td>\n",
       "      <td>40.747451</td>\n",
       "      <td>-73.942048</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Food Cellar &amp; Co.</td>\n",
       "      <td>40.748097</td>\n",
       "      <td>-73.942784</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Chipotle Mexican Grill</td>\n",
       "      <td>40.747227</td>\n",
       "      <td>-73.941649</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Starbucks</td>\n",
       "      <td>40.747459</td>\n",
       "      <td>-73.942031</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>The Burger Garage</td>\n",
       "      <td>40.746847</td>\n",
       "      <td>-73.942472</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>SculptureCenter</td>\n",
       "      <td>40.746952</td>\n",
       "      <td>-73.941068</td>\n",
       "      <td>Art Museum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Pantry Market Eatery</td>\n",
       "      <td>40.746394</td>\n",
       "      <td>-73.944564</td>\n",
       "      <td>Breakfast Spot</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>City Chemist</td>\n",
       "      <td>40.747389</td>\n",
       "      <td>-73.943118</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Court Square Park</td>\n",
       "      <td>40.746629</td>\n",
       "      <td>-73.943696</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Mr. Wonton</td>\n",
       "      <td>40.747037</td>\n",
       "      <td>-73.942023</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>SquareWine &amp; Spirits</td>\n",
       "      <td>40.746248</td>\n",
       "      <td>-73.944574</td>\n",
       "      <td>Wine Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Brooks 1890</td>\n",
       "      <td>40.746538</td>\n",
       "      <td>-73.944077</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>40.746358</td>\n",
       "      <td>-73.942597</td>\n",
       "      <td>Daly Pie Pop Up</td>\n",
       "      <td>40.747710</td>\n",
       "      <td>-73.941234</td>\n",
       "      <td>Pie Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>CUNY Kingsborough Community College</td>\n",
       "      <td>40.578192</td>\n",
       "      <td>-73.934966</td>\n",
       "      <td>Kingsborough Performing Arts Center (@Kingsbor...</td>\n",
       "      <td>40.577768</td>\n",
       "      <td>-73.934847</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>CUNY Kingsborough Community College</td>\n",
       "      <td>40.578192</td>\n",
       "      <td>-73.934966</td>\n",
       "      <td>West Academic Cluster</td>\n",
       "      <td>40.577013</td>\n",
       "      <td>-73.934837</td>\n",
       "      <td>College Academic Building</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>CUNY Kingsborough Community College</td>\n",
       "      <td>40.578192</td>\n",
       "      <td>-73.934966</td>\n",
       "      <td>MAC Playhouse</td>\n",
       "      <td>40.577533</td>\n",
       "      <td>-73.934423</td>\n",
       "      <td>Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>CUNY New York City College of Technology</td>\n",
       "      <td>40.695279</td>\n",
       "      <td>-73.987307</td>\n",
       "      <td>Brooklyn Bridge Bistro And Winebar</td>\n",
       "      <td>40.696594</td>\n",
       "      <td>-73.988312</td>\n",
       "      <td>Bistro</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>CUNY New York City College of Technology</td>\n",
       "      <td>40.695279</td>\n",
       "      <td>-73.987307</td>\n",
       "      <td>McLaughlin Park</td>\n",
       "      <td>40.696390</td>\n",
       "      <td>-73.986495</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>CUNY New York City College of Technology</td>\n",
       "      <td>40.695279</td>\n",
       "      <td>-73.987307</td>\n",
       "      <td>Carpe Donut NYC</td>\n",
       "      <td>40.693781</td>\n",
       "      <td>-73.986845</td>\n",
       "      <td>Food Truck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>CUNY New York City College of Technology</td>\n",
       "      <td>40.695279</td>\n",
       "      <td>-73.987307</td>\n",
       "      <td>Verizon Authorized Retailer, TCC</td>\n",
       "      <td>40.693744</td>\n",
       "      <td>-73.987476</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>CUNY New York City College of Technology</td>\n",
       "      <td>40.695279</td>\n",
       "      <td>-73.987307</td>\n",
       "      <td>Concord Market</td>\n",
       "      <td>40.696524</td>\n",
       "      <td>-73.987350</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>CUNY New York City College of Technology</td>\n",
       "      <td>40.695279</td>\n",
       "      <td>-73.987307</td>\n",
       "      <td>ZogSports - McLaughlin Park</td>\n",
       "      <td>40.696307</td>\n",
       "      <td>-73.985606</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>CUNY Queensborough Community College</td>\n",
       "      <td>40.756025</td>\n",
       "      <td>-73.756540</td>\n",
       "      <td>Starbucks</td>\n",
       "      <td>40.755699</td>\n",
       "      <td>-73.756264</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>CUNY Queensborough Community College</td>\n",
       "      <td>40.756025</td>\n",
       "      <td>-73.756540</td>\n",
       "      <td>QCC Art Gallery</td>\n",
       "      <td>40.754957</td>\n",
       "      <td>-73.755999</td>\n",
       "      <td>Art Gallery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>CUNY Queensborough Community College</td>\n",
       "      <td>40.756025</td>\n",
       "      <td>-73.756540</td>\n",
       "      <td>Queensborough Community College - Robert F. Ke...</td>\n",
       "      <td>40.756351</td>\n",
       "      <td>-73.758292</td>\n",
       "      <td>Pool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>CUNY Queensborough Community College</td>\n",
       "      <td>40.756025</td>\n",
       "      <td>-73.756540</td>\n",
       "      <td>QCC's Turf</td>\n",
       "      <td>40.755368</td>\n",
       "      <td>-73.757468</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>CUNY Queensborough Community College</td>\n",
       "      <td>40.756025</td>\n",
       "      <td>-73.756540</td>\n",
       "      <td>QCC Oakland Building</td>\n",
       "      <td>40.755673</td>\n",
       "      <td>-73.757996</td>\n",
       "      <td>Art Gallery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>Monroe Community College</td>\n",
       "      <td>43.115784</td>\n",
       "      <td>-77.616538</td>\n",
       "      <td>Monroe Community Hospital</td>\n",
       "      <td>43.114688</td>\n",
       "      <td>-77.615997</td>\n",
       "      <td>Hospital</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Monroe Community College</td>\n",
       "      <td>43.115784</td>\n",
       "      <td>-77.616538</td>\n",
       "      <td>Citygate</td>\n",
       "      <td>43.115766</td>\n",
       "      <td>-77.616003</td>\n",
       "      <td>Shopping Mall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>Monroe Community College</td>\n",
       "      <td>43.115784</td>\n",
       "      <td>-77.616538</td>\n",
       "      <td>Phone Booth</td>\n",
       "      <td>43.114717</td>\n",
       "      <td>-77.616187</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>Monroe Community College</td>\n",
       "      <td>43.115784</td>\n",
       "      <td>-77.616538</td>\n",
       "      <td>Pod Computer Inc.</td>\n",
       "      <td>43.117292</td>\n",
       "      <td>-77.616831</td>\n",
       "      <td>Electronics Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>42.881777</td>\n",
       "      <td>-78.872623</td>\n",
       "      <td>Sahlen Field</td>\n",
       "      <td>42.880929</td>\n",
       "      <td>-78.874036</td>\n",
       "      <td>Baseball Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>42.881777</td>\n",
       "      <td>-78.872623</td>\n",
       "      <td>Washington Square Bar &amp; Grill</td>\n",
       "      <td>42.882041</td>\n",
       "      <td>-78.874358</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>42.881777</td>\n",
       "      <td>-78.872623</td>\n",
       "      <td>Charlie the Butcher's Express</td>\n",
       "      <td>42.882219</td>\n",
       "      <td>-78.874930</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>42.881777</td>\n",
       "      <td>-78.872623</td>\n",
       "      <td>Burt Flickinger Athletic Center</td>\n",
       "      <td>42.881650</td>\n",
       "      <td>-78.871468</td>\n",
       "      <td>College Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>42.881777</td>\n",
       "      <td>-78.872623</td>\n",
       "      <td>ECC Pool</td>\n",
       "      <td>42.881921</td>\n",
       "      <td>-78.871222</td>\n",
       "      <td>Gym Pool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>42.881777</td>\n",
       "      <td>-78.872623</td>\n",
       "      <td>Tim Hortons</td>\n",
       "      <td>42.883346</td>\n",
       "      <td>-78.872024</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>42.881777</td>\n",
       "      <td>-78.872623</td>\n",
       "      <td>Ellicott &amp; South Division</td>\n",
       "      <td>42.882582</td>\n",
       "      <td>-78.874221</td>\n",
       "      <td>Intersection</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>Erie Community College</td>\n",
       "      <td>42.881777</td>\n",
       "      <td>-78.872623</td>\n",
       "      <td>3rd Base Party Suite</td>\n",
       "      <td>42.880683</td>\n",
       "      <td>-78.872994</td>\n",
       "      <td>Baseball Stadium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Onondaga Community College</td>\n",
       "      <td>43.005648</td>\n",
       "      <td>-76.197343</td>\n",
       "      <td>Starbucks</td>\n",
       "      <td>43.006091</td>\n",
       "      <td>-76.197331</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>Onondaga Community College</td>\n",
       "      <td>43.005648</td>\n",
       "      <td>-76.197343</td>\n",
       "      <td>Southwest YMCA</td>\n",
       "      <td>43.006097</td>\n",
       "      <td>-76.195963</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>Ando's</td>\n",
       "      <td>42.696696</td>\n",
       "      <td>-73.689798</td>\n",
       "      <td>Cosmetics Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>T.J. Maxx</td>\n",
       "      <td>42.696207</td>\n",
       "      <td>-73.689424</td>\n",
       "      <td>Department Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>Panera Bread</td>\n",
       "      <td>42.695271</td>\n",
       "      <td>-73.688438</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>Rite Aid</td>\n",
       "      <td>42.695948</td>\n",
       "      <td>-73.688650</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>Redbox</td>\n",
       "      <td>42.697538</td>\n",
       "      <td>-73.688391</td>\n",
       "      <td>Video Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>Subway</td>\n",
       "      <td>42.696729</td>\n",
       "      <td>-73.688865</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>Wendy’s</td>\n",
       "      <td>42.696724</td>\n",
       "      <td>-73.688879</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>Hudson Valley Plaza</td>\n",
       "      <td>42.696796</td>\n",
       "      <td>-73.689682</td>\n",
       "      <td>Shopping Mall</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>China Wok</td>\n",
       "      <td>42.696661</td>\n",
       "      <td>-73.689934</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>Yankee Dollar</td>\n",
       "      <td>42.696408</td>\n",
       "      <td>-73.689918</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>Hudson Valley Community College</td>\n",
       "      <td>42.696467</td>\n",
       "      <td>-73.687631</td>\n",
       "      <td>NY Wine &amp; Liquor Warehouse</td>\n",
       "      <td>42.696253</td>\n",
       "      <td>-73.689720</td>\n",
       "      <td>Warehouse Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>40.857685</td>\n",
       "      <td>-73.912896</td>\n",
       "      <td>Hall of Fame for Great Americans</td>\n",
       "      <td>40.858679</td>\n",
       "      <td>-73.914495</td>\n",
       "      <td>History Museum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>40.857685</td>\n",
       "      <td>-73.912896</td>\n",
       "      <td>Au Bon Pain</td>\n",
       "      <td>40.858062</td>\n",
       "      <td>-73.912040</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>40.857685</td>\n",
       "      <td>-73.912896</td>\n",
       "      <td>Alumni Gymnasium - CUNY Bronx Community College</td>\n",
       "      <td>40.856683</td>\n",
       "      <td>-73.911255</td>\n",
       "      <td>College Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>40.857685</td>\n",
       "      <td>-73.912896</td>\n",
       "      <td>NYU Honor Of Great Americans Fountain</td>\n",
       "      <td>40.858450</td>\n",
       "      <td>-73.914440</td>\n",
       "      <td>Scenic Lookout</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Dutchess Community College</td>\n",
       "      <td>41.726509</td>\n",
       "      <td>-73.904261</td>\n",
       "      <td>Dutchess Community College Baseball Field</td>\n",
       "      <td>41.726782</td>\n",
       "      <td>-73.905673</td>\n",
       "      <td>Baseball Field</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>iLoveKickboxing</td>\n",
       "      <td>40.746340</td>\n",
       "      <td>-73.992900</td>\n",
       "      <td>Boxing Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Marcelo Garcia Brazilian Jiu-Jitsu Academy</td>\n",
       "      <td>40.746565</td>\n",
       "      <td>-73.996275</td>\n",
       "      <td>Martial Arts Dojo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Rock Star Crystals</td>\n",
       "      <td>40.745633</td>\n",
       "      <td>-73.993508</td>\n",
       "      <td>Miscellaneous Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>ALT: A Little Taste</td>\n",
       "      <td>40.746854</td>\n",
       "      <td>-73.992449</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Variety Coffee Roasters</td>\n",
       "      <td>40.745223</td>\n",
       "      <td>-73.994596</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Martinez Handmade Cigars</td>\n",
       "      <td>40.747769</td>\n",
       "      <td>-73.992685</td>\n",
       "      <td>Smoke Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>The National Opera Center</td>\n",
       "      <td>40.747644</td>\n",
       "      <td>-73.993106</td>\n",
       "      <td>Performing Arts Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Sid Gold's Request Room</td>\n",
       "      <td>40.745804</td>\n",
       "      <td>-73.993877</td>\n",
       "      <td>Piano Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>The Shelter</td>\n",
       "      <td>40.745921</td>\n",
       "      <td>-73.992849</td>\n",
       "      <td>Indie Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Chelsea Park Barbers</td>\n",
       "      <td>40.746952</td>\n",
       "      <td>-73.996524</td>\n",
       "      <td>Health &amp; Beauty Service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Dutch Flower Line</td>\n",
       "      <td>40.747016</td>\n",
       "      <td>-73.992689</td>\n",
       "      <td>Flower Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Five Guys</td>\n",
       "      <td>40.747951</td>\n",
       "      <td>-73.992603</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Maison Kayser</td>\n",
       "      <td>40.747732</td>\n",
       "      <td>-73.992877</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>buybuy BABY</td>\n",
       "      <td>40.745797</td>\n",
       "      <td>-73.994753</td>\n",
       "      <td>Baby Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Ninth Street Espresso</td>\n",
       "      <td>40.748248</td>\n",
       "      <td>-73.993739</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Starbucks</td>\n",
       "      <td>40.747550</td>\n",
       "      <td>-73.995624</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Pret A Manger</td>\n",
       "      <td>40.748016</td>\n",
       "      <td>-73.992956</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>FIT Building A</td>\n",
       "      <td>40.747581</td>\n",
       "      <td>-73.995925</td>\n",
       "      <td>College Academic Building</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Nails &amp; More</td>\n",
       "      <td>40.747744</td>\n",
       "      <td>-73.996293</td>\n",
       "      <td>Nail Salon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Flash Factory</td>\n",
       "      <td>40.747922</td>\n",
       "      <td>-73.994877</td>\n",
       "      <td>Music Venue</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Abacky Fusion Cuisine</td>\n",
       "      <td>40.747208</td>\n",
       "      <td>-73.996616</td>\n",
       "      <td>Thai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Fashion Institute of Technology</td>\n",
       "      <td>40.746909</td>\n",
       "      <td>-73.994275</td>\n",
       "      <td>Mission Nightclub</td>\n",
       "      <td>40.747934</td>\n",
       "      <td>-73.994962</td>\n",
       "      <td>Nightclub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Mohawk Valley Community College</td>\n",
       "      <td>43.076606</td>\n",
       "      <td>-75.216660</td>\n",
       "      <td>MVCC THEATER</td>\n",
       "      <td>43.076211</td>\n",
       "      <td>-75.217322</td>\n",
       "      <td>Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Mohawk Valley Community College</td>\n",
       "      <td>43.076606</td>\n",
       "      <td>-75.216660</td>\n",
       "      <td>MVCC Pool</td>\n",
       "      <td>43.075221</td>\n",
       "      <td>-75.217715</td>\n",
       "      <td>Pool</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Giovanni's Restaurant</td>\n",
       "      <td>40.819362</td>\n",
       "      <td>-73.927029</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>State Supply Equipment &amp; Props</td>\n",
       "      <td>40.818210</td>\n",
       "      <td>-73.928638</td>\n",
       "      <td>Rental Service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Glacken's Bar &amp; Grill</td>\n",
       "      <td>40.818988</td>\n",
       "      <td>-73.928765</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>G Bar</td>\n",
       "      <td>40.819347</td>\n",
       "      <td>-73.927066</td>\n",
       "      <td>Karaoke Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Sam's Soul Food Restaurant and Bar</td>\n",
       "      <td>40.819826</td>\n",
       "      <td>-73.926618</td>\n",
       "      <td>Southern / Soul Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Zona De Cuba</td>\n",
       "      <td>40.818898</td>\n",
       "      <td>-73.926587</td>\n",
       "      <td>Cuban Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Glen Roy's Tavern</td>\n",
       "      <td>40.818819</td>\n",
       "      <td>-73.927970</td>\n",
       "      <td>Pub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Häagen-Dazs</td>\n",
       "      <td>40.819248</td>\n",
       "      <td>-73.926951</td>\n",
       "      <td>Ice Cream Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Sunlight</td>\n",
       "      <td>40.818906</td>\n",
       "      <td>-73.928324</td>\n",
       "      <td>Café</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Popeyes Louisiana Kitchen</td>\n",
       "      <td>40.819040</td>\n",
       "      <td>-73.927101</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>T-Mobile</td>\n",
       "      <td>40.818784</td>\n",
       "      <td>-73.927434</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Mott Haven Campus Turf</td>\n",
       "      <td>40.818644</td>\n",
       "      <td>-73.927156</td>\n",
       "      <td>Athletics &amp; Sports</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Dunkin'</td>\n",
       "      <td>40.818801</td>\n",
       "      <td>-73.927521</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>7-Eleven</td>\n",
       "      <td>40.818929</td>\n",
       "      <td>-73.927450</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Hostos Center for the Arts &amp; Culture</td>\n",
       "      <td>40.817325</td>\n",
       "      <td>-73.927070</td>\n",
       "      <td>Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>Burger King</td>\n",
       "      <td>40.819018</td>\n",
       "      <td>-73.927314</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>40.818072</td>\n",
       "      <td>-73.926841</td>\n",
       "      <td>McDonald's</td>\n",
       "      <td>40.819839</td>\n",
       "      <td>-73.927037</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>SUNY Broome Community College</td>\n",
       "      <td>42.137706</td>\n",
       "      <td>-75.905046</td>\n",
       "      <td>Starbucks</td>\n",
       "      <td>42.136425</td>\n",
       "      <td>-75.904455</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>SUNY Broome Community College</td>\n",
       "      <td>42.137706</td>\n",
       "      <td>-75.905046</td>\n",
       "      <td>Abeetz Flatbread Pizza Company</td>\n",
       "      <td>42.137505</td>\n",
       "      <td>-75.905217</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>SUNY Broome Community College</td>\n",
       "      <td>42.137706</td>\n",
       "      <td>-75.905046</td>\n",
       "      <td>GHS Credit Union</td>\n",
       "      <td>42.137271</td>\n",
       "      <td>-75.904252</td>\n",
       "      <td>Credit Union</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>SUNY Broome Community College</td>\n",
       "      <td>42.137706</td>\n",
       "      <td>-75.905046</td>\n",
       "      <td>T.L.C Pizzeria</td>\n",
       "      <td>42.136468</td>\n",
       "      <td>-75.904566</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>Orange County Community College</td>\n",
       "      <td>41.438637</td>\n",
       "      <td>-74.426008</td>\n",
       "      <td>SUNY Orange Bookstore</td>\n",
       "      <td>41.437499</td>\n",
       "      <td>-74.425904</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>Orange County Community College</td>\n",
       "      <td>41.438637</td>\n",
       "      <td>-74.426008</td>\n",
       "      <td>SUNY Orange - Orange Hall</td>\n",
       "      <td>41.439731</td>\n",
       "      <td>-74.426689</td>\n",
       "      <td>College Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>40.666294</td>\n",
       "      <td>-73.958363</td>\n",
       "      <td>Billy's Pizza</td>\n",
       "      <td>40.667097</td>\n",
       "      <td>-73.956329</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>40.666294</td>\n",
       "      <td>-73.958363</td>\n",
       "      <td>Balboa Caribbean restaurant</td>\n",
       "      <td>40.666130</td>\n",
       "      <td>-73.956761</td>\n",
       "      <td>Paella Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>40.666294</td>\n",
       "      <td>-73.958363</td>\n",
       "      <td>Koala Café</td>\n",
       "      <td>40.667650</td>\n",
       "      <td>-73.959040</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>40.666294</td>\n",
       "      <td>-73.958363</td>\n",
       "      <td>Rite Aid</td>\n",
       "      <td>40.665319</td>\n",
       "      <td>-73.956669</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>40.666294</td>\n",
       "      <td>-73.958363</td>\n",
       "      <td>subway restaurant</td>\n",
       "      <td>40.667267</td>\n",
       "      <td>-73.956622</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>40.666294</td>\n",
       "      <td>-73.958363</td>\n",
       "      <td>Ebbets Field (Former Site)</td>\n",
       "      <td>40.665088</td>\n",
       "      <td>-73.958062</td>\n",
       "      <td>Historic Site</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>40.666294</td>\n",
       "      <td>-73.958363</td>\n",
       "      <td>Foodtown</td>\n",
       "      <td>40.667616</td>\n",
       "      <td>-73.959025</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>40.666294</td>\n",
       "      <td>-73.958363</td>\n",
       "      <td>Dunkin'</td>\n",
       "      <td>40.665560</td>\n",
       "      <td>-73.956627</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>Morton Williams Supermarkets</td>\n",
       "      <td>40.863212</td>\n",
       "      <td>-73.900867</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>Panda Express</td>\n",
       "      <td>40.863001</td>\n",
       "      <td>-73.900894</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>AT&amp;T</td>\n",
       "      <td>40.862355</td>\n",
       "      <td>-73.900537</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>Dunkin'</td>\n",
       "      <td>40.862506</td>\n",
       "      <td>-73.900895</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>T-Mobile</td>\n",
       "      <td>40.862793</td>\n",
       "      <td>-73.900455</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>Gyro King</td>\n",
       "      <td>40.862324</td>\n",
       "      <td>-73.900427</td>\n",
       "      <td>Greek Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>Taco Bell</td>\n",
       "      <td>40.862756</td>\n",
       "      <td>-73.901080</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>El Valle Restaurant Sport Bar</td>\n",
       "      <td>40.862359</td>\n",
       "      <td>-73.900844</td>\n",
       "      <td>Spanish Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>Bella Pizza</td>\n",
       "      <td>40.863110</td>\n",
       "      <td>-73.901716</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>Twin Donut</td>\n",
       "      <td>40.862934</td>\n",
       "      <td>-73.901239</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>Monroe College</td>\n",
       "      <td>40.864011</td>\n",
       "      <td>-73.900331</td>\n",
       "      <td>Tropical Health Bar</td>\n",
       "      <td>40.862546</td>\n",
       "      <td>-73.901401</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>42.815769</td>\n",
       "      <td>-73.949371</td>\n",
       "      <td>Frog Alley Brewing</td>\n",
       "      <td>42.815067</td>\n",
       "      <td>-73.947325</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>42.815769</td>\n",
       "      <td>-73.949371</td>\n",
       "      <td>Schenectady Civic Playhouse</td>\n",
       "      <td>42.815702</td>\n",
       "      <td>-73.947535</td>\n",
       "      <td>Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>42.815769</td>\n",
       "      <td>-73.949371</td>\n",
       "      <td>Stockade Inn</td>\n",
       "      <td>42.816733</td>\n",
       "      <td>-73.947733</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>42.815769</td>\n",
       "      <td>-73.949371</td>\n",
       "      <td>KFC</td>\n",
       "      <td>42.815369</td>\n",
       "      <td>-73.947034</td>\n",
       "      <td>Fried Chicken Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>42.815769</td>\n",
       "      <td>-73.949371</td>\n",
       "      <td>Stockade Market &amp; Deli</td>\n",
       "      <td>42.815170</td>\n",
       "      <td>-73.948024</td>\n",
       "      <td>Convenience Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>42.815769</td>\n",
       "      <td>-73.949371</td>\n",
       "      <td>YWCA NENY</td>\n",
       "      <td>42.816637</td>\n",
       "      <td>-73.949015</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>42.815769</td>\n",
       "      <td>-73.949371</td>\n",
       "      <td>Schenectady County Historical Society</td>\n",
       "      <td>42.816905</td>\n",
       "      <td>-73.949404</td>\n",
       "      <td>History Museum</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>Schenectady County Community College</td>\n",
       "      <td>42.815769</td>\n",
       "      <td>-73.949371</td>\n",
       "      <td>SCCC College Store</td>\n",
       "      <td>42.814978</td>\n",
       "      <td>-73.950080</td>\n",
       "      <td>College Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Niagara County Community College</td>\n",
       "      <td>43.147226</td>\n",
       "      <td>-78.877374</td>\n",
       "      <td>Tim Hortons</td>\n",
       "      <td>43.146980</td>\n",
       "      <td>-78.877422</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>Niagara County Community College</td>\n",
       "      <td>43.147226</td>\n",
       "      <td>-78.877374</td>\n",
       "      <td>Tim Hortons</td>\n",
       "      <td>43.147207</td>\n",
       "      <td>-78.876640</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>Niagara County Community College</td>\n",
       "      <td>43.147226</td>\n",
       "      <td>-78.877374</td>\n",
       "      <td>NCCC Fitness Center</td>\n",
       "      <td>43.146978</td>\n",
       "      <td>-78.876079</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Tompkins Cortland Community College</td>\n",
       "      <td>42.501435</td>\n",
       "      <td>-76.298132</td>\n",
       "      <td>Dollar General</td>\n",
       "      <td>42.502218</td>\n",
       "      <td>-76.299157</td>\n",
       "      <td>Discount Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Tompkins Cortland Community College</td>\n",
       "      <td>42.501435</td>\n",
       "      <td>-76.298132</td>\n",
       "      <td>Papa Johns Pizza</td>\n",
       "      <td>42.501758</td>\n",
       "      <td>-76.295778</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Jamestown Community College</td>\n",
       "      <td>42.113896</td>\n",
       "      <td>-79.217255</td>\n",
       "      <td>AJ's Texas Hots</td>\n",
       "      <td>42.113043</td>\n",
       "      <td>-79.216202</td>\n",
       "      <td>Hot Dog Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>Jamestown Community College</td>\n",
       "      <td>42.113896</td>\n",
       "      <td>-79.217255</td>\n",
       "      <td>Honest John's Pizzeria</td>\n",
       "      <td>42.112967</td>\n",
       "      <td>-79.216701</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>Cayuga County Community College</td>\n",
       "      <td>42.943412</td>\n",
       "      <td>-76.543207</td>\n",
       "      <td>Irene Bisgrove Community Theatre at CCC</td>\n",
       "      <td>42.943539</td>\n",
       "      <td>-76.543655</td>\n",
       "      <td>Theater</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Xi'an Famous Foods</td>\n",
       "      <td>40.692170</td>\n",
       "      <td>-73.986730</td>\n",
       "      <td>Chinese Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Hawa Smoothies &amp; Bubble Tea</td>\n",
       "      <td>40.692173</td>\n",
       "      <td>-73.987004</td>\n",
       "      <td>Juice Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>The Brooklyner Roof</td>\n",
       "      <td>40.692843</td>\n",
       "      <td>-73.985979</td>\n",
       "      <td>Roof Deck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Myrtle Promenade</td>\n",
       "      <td>40.693666</td>\n",
       "      <td>-73.986021</td>\n",
       "      <td>Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>The Brooklyner Gym</td>\n",
       "      <td>40.692657</td>\n",
       "      <td>-73.986172</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Five Guys</td>\n",
       "      <td>40.693571</td>\n",
       "      <td>-73.985947</td>\n",
       "      <td>Burger Joint</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Korilla BBQ</td>\n",
       "      <td>40.693803</td>\n",
       "      <td>-73.985843</td>\n",
       "      <td>Asian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Pio Bagel</td>\n",
       "      <td>40.692159</td>\n",
       "      <td>-73.986368</td>\n",
       "      <td>Bagel Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Doner Kebab NYC</td>\n",
       "      <td>40.692116</td>\n",
       "      <td>-73.987493</td>\n",
       "      <td>Kebab Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Carpe Donut NYC</td>\n",
       "      <td>40.693781</td>\n",
       "      <td>-73.986845</td>\n",
       "      <td>Food Truck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Manhattan Athletic Club</td>\n",
       "      <td>40.691572</td>\n",
       "      <td>-73.985522</td>\n",
       "      <td>Gym</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Circa Brewing Co</td>\n",
       "      <td>40.691685</td>\n",
       "      <td>-73.986218</td>\n",
       "      <td>Brewery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Luciano's</td>\n",
       "      <td>40.693986</td>\n",
       "      <td>-73.985421</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Yaso Tangbao</td>\n",
       "      <td>40.691733</td>\n",
       "      <td>-73.986454</td>\n",
       "      <td>Shanghai Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Gong Cha 貢茶 (Gong Cha)</td>\n",
       "      <td>40.691512</td>\n",
       "      <td>-73.986349</td>\n",
       "      <td>Bubble Tea Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Zumiez</td>\n",
       "      <td>40.691873</td>\n",
       "      <td>-73.987841</td>\n",
       "      <td>Clothing Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Pret A Manger</td>\n",
       "      <td>40.693555</td>\n",
       "      <td>-73.985378</td>\n",
       "      <td>French Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Bigeye Sushi</td>\n",
       "      <td>40.693227</td>\n",
       "      <td>-73.985739</td>\n",
       "      <td>Sushi Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Downtown Natural Market</td>\n",
       "      <td>40.692240</td>\n",
       "      <td>-73.987010</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Skyline Gourmet Deli</td>\n",
       "      <td>40.692134</td>\n",
       "      <td>-73.986268</td>\n",
       "      <td>Deli / Bodega</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Verizon Authorized Retailer, TCC</td>\n",
       "      <td>40.693744</td>\n",
       "      <td>-73.987476</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>T-Mobile</td>\n",
       "      <td>40.691752</td>\n",
       "      <td>-73.987606</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Blimpie</td>\n",
       "      <td>40.692171</td>\n",
       "      <td>-73.988096</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>Aloft New York Brooklyn</td>\n",
       "      <td>40.691674</td>\n",
       "      <td>-73.984485</td>\n",
       "      <td>Hotel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>40.692412</td>\n",
       "      <td>-73.985971</td>\n",
       "      <td>AT&amp;T</td>\n",
       "      <td>40.691590</td>\n",
       "      <td>-73.987080</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>43.352938</td>\n",
       "      <td>-73.653373</td>\n",
       "      <td>Lunch With Acc Bunch</td>\n",
       "      <td>43.351713</td>\n",
       "      <td>-73.654551</td>\n",
       "      <td>Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>43.352938</td>\n",
       "      <td>-73.653373</td>\n",
       "      <td>The Cafeteria</td>\n",
       "      <td>43.351816</td>\n",
       "      <td>-73.654452</td>\n",
       "      <td>American Restaurant</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         College  College Latitude  \\\n",
       "0    CUNY Borough of Manhattan Community College         40.717249   \n",
       "1    CUNY Borough of Manhattan Community College         40.717249   \n",
       "2    CUNY Borough of Manhattan Community College         40.717249   \n",
       "3    CUNY Borough of Manhattan Community College         40.717249   \n",
       "4    CUNY Borough of Manhattan Community College         40.717249   \n",
       "5    CUNY Borough of Manhattan Community College         40.717249   \n",
       "6    CUNY Borough of Manhattan Community College         40.717249   \n",
       "7    CUNY Borough of Manhattan Community College         40.717249   \n",
       "8    CUNY Borough of Manhattan Community College         40.717249   \n",
       "9    CUNY Borough of Manhattan Community College         40.717249   \n",
       "10   CUNY Borough of Manhattan Community College         40.717249   \n",
       "11   CUNY Borough of Manhattan Community College         40.717249   \n",
       "12   CUNY Borough of Manhattan Community College         40.717249   \n",
       "13   CUNY Borough of Manhattan Community College         40.717249   \n",
       "14   CUNY Borough of Manhattan Community College         40.717249   \n",
       "15   CUNY Borough of Manhattan Community College         40.717249   \n",
       "16   CUNY Borough of Manhattan Community College         40.717249   \n",
       "17   CUNY Borough of Manhattan Community College         40.717249   \n",
       "18   CUNY Borough of Manhattan Community College         40.717249   \n",
       "19              Suffolk County Community College         40.848609   \n",
       "20              CUNY LaGuardia Community College         40.746358   \n",
       "21              CUNY LaGuardia Community College         40.746358   \n",
       "22              CUNY LaGuardia Community College         40.746358   \n",
       "23              CUNY LaGuardia Community College         40.746358   \n",
       "24              CUNY LaGuardia Community College         40.746358   \n",
       "25              CUNY LaGuardia Community College         40.746358   \n",
       "26              CUNY LaGuardia Community College         40.746358   \n",
       "27              CUNY LaGuardia Community College         40.746358   \n",
       "28              CUNY LaGuardia Community College         40.746358   \n",
       "29              CUNY LaGuardia Community College         40.746358   \n",
       "30              CUNY LaGuardia Community College         40.746358   \n",
       "31              CUNY LaGuardia Community College         40.746358   \n",
       "32              CUNY LaGuardia Community College         40.746358   \n",
       "33              CUNY LaGuardia Community College         40.746358   \n",
       "34              CUNY LaGuardia Community College         40.746358   \n",
       "35           CUNY Kingsborough Community College         40.578192   \n",
       "36           CUNY Kingsborough Community College         40.578192   \n",
       "37           CUNY Kingsborough Community College         40.578192   \n",
       "38      CUNY New York City College of Technology         40.695279   \n",
       "39      CUNY New York City College of Technology         40.695279   \n",
       "40      CUNY New York City College of Technology         40.695279   \n",
       "41      CUNY New York City College of Technology         40.695279   \n",
       "42      CUNY New York City College of Technology         40.695279   \n",
       "43      CUNY New York City College of Technology         40.695279   \n",
       "44          CUNY Queensborough Community College         40.756025   \n",
       "45          CUNY Queensborough Community College         40.756025   \n",
       "46          CUNY Queensborough Community College         40.756025   \n",
       "47          CUNY Queensborough Community College         40.756025   \n",
       "48          CUNY Queensborough Community College         40.756025   \n",
       "49                      Monroe Community College         43.115784   \n",
       "50                      Monroe Community College         43.115784   \n",
       "51                      Monroe Community College         43.115784   \n",
       "52                      Monroe Community College         43.115784   \n",
       "53                        Erie Community College         42.881777   \n",
       "54                        Erie Community College         42.881777   \n",
       "55                        Erie Community College         42.881777   \n",
       "56                        Erie Community College         42.881777   \n",
       "57                        Erie Community College         42.881777   \n",
       "58                        Erie Community College         42.881777   \n",
       "59                        Erie Community College         42.881777   \n",
       "60                        Erie Community College         42.881777   \n",
       "61                    Onondaga Community College         43.005648   \n",
       "62                    Onondaga Community College         43.005648   \n",
       "63               Hudson Valley Community College         42.696467   \n",
       "64               Hudson Valley Community College         42.696467   \n",
       "65               Hudson Valley Community College         42.696467   \n",
       "66               Hudson Valley Community College         42.696467   \n",
       "67               Hudson Valley Community College         42.696467   \n",
       "68               Hudson Valley Community College         42.696467   \n",
       "69               Hudson Valley Community College         42.696467   \n",
       "70               Hudson Valley Community College         42.696467   \n",
       "71               Hudson Valley Community College         42.696467   \n",
       "72               Hudson Valley Community College         42.696467   \n",
       "73               Hudson Valley Community College         42.696467   \n",
       "74                  CUNY Bronx Community College         40.857685   \n",
       "75                  CUNY Bronx Community College         40.857685   \n",
       "76                  CUNY Bronx Community College         40.857685   \n",
       "77                  CUNY Bronx Community College         40.857685   \n",
       "78                    Dutchess Community College         41.726509   \n",
       "79               Fashion Institute of Technology         40.746909   \n",
       "80               Fashion Institute of Technology         40.746909   \n",
       "81               Fashion Institute of Technology         40.746909   \n",
       "82               Fashion Institute of Technology         40.746909   \n",
       "83               Fashion Institute of Technology         40.746909   \n",
       "84               Fashion Institute of Technology         40.746909   \n",
       "85               Fashion Institute of Technology         40.746909   \n",
       "86               Fashion Institute of Technology         40.746909   \n",
       "87               Fashion Institute of Technology         40.746909   \n",
       "88               Fashion Institute of Technology         40.746909   \n",
       "89               Fashion Institute of Technology         40.746909   \n",
       "90               Fashion Institute of Technology         40.746909   \n",
       "91               Fashion Institute of Technology         40.746909   \n",
       "92               Fashion Institute of Technology         40.746909   \n",
       "93               Fashion Institute of Technology         40.746909   \n",
       "94               Fashion Institute of Technology         40.746909   \n",
       "95               Fashion Institute of Technology         40.746909   \n",
       "96               Fashion Institute of Technology         40.746909   \n",
       "97               Fashion Institute of Technology         40.746909   \n",
       "98               Fashion Institute of Technology         40.746909   \n",
       "99               Fashion Institute of Technology         40.746909   \n",
       "100              Fashion Institute of Technology         40.746909   \n",
       "101              Mohawk Valley Community College         43.076606   \n",
       "102              Mohawk Valley Community College         43.076606   \n",
       "103                CUNY Hostos Community College         40.818072   \n",
       "104                CUNY Hostos Community College         40.818072   \n",
       "105                CUNY Hostos Community College         40.818072   \n",
       "106                CUNY Hostos Community College         40.818072   \n",
       "107                CUNY Hostos Community College         40.818072   \n",
       "108                CUNY Hostos Community College         40.818072   \n",
       "109                CUNY Hostos Community College         40.818072   \n",
       "110                CUNY Hostos Community College         40.818072   \n",
       "111                CUNY Hostos Community College         40.818072   \n",
       "112                CUNY Hostos Community College         40.818072   \n",
       "113                CUNY Hostos Community College         40.818072   \n",
       "114                CUNY Hostos Community College         40.818072   \n",
       "115                CUNY Hostos Community College         40.818072   \n",
       "116                CUNY Hostos Community College         40.818072   \n",
       "117                CUNY Hostos Community College         40.818072   \n",
       "118                CUNY Hostos Community College         40.818072   \n",
       "119                CUNY Hostos Community College         40.818072   \n",
       "120                SUNY Broome Community College         42.137706   \n",
       "121                SUNY Broome Community College         42.137706   \n",
       "122                SUNY Broome Community College         42.137706   \n",
       "123                SUNY Broome Community College         42.137706   \n",
       "124              Orange County Community College         41.438637   \n",
       "125              Orange County Community College         41.438637   \n",
       "126                    CUNY Medgar Evers College         40.666294   \n",
       "127                    CUNY Medgar Evers College         40.666294   \n",
       "128                    CUNY Medgar Evers College         40.666294   \n",
       "129                    CUNY Medgar Evers College         40.666294   \n",
       "130                    CUNY Medgar Evers College         40.666294   \n",
       "131                    CUNY Medgar Evers College         40.666294   \n",
       "132                    CUNY Medgar Evers College         40.666294   \n",
       "133                    CUNY Medgar Evers College         40.666294   \n",
       "134                               Monroe College         40.864011   \n",
       "135                               Monroe College         40.864011   \n",
       "136                               Monroe College         40.864011   \n",
       "137                               Monroe College         40.864011   \n",
       "138                               Monroe College         40.864011   \n",
       "139                               Monroe College         40.864011   \n",
       "140                               Monroe College         40.864011   \n",
       "141                               Monroe College         40.864011   \n",
       "142                               Monroe College         40.864011   \n",
       "143                               Monroe College         40.864011   \n",
       "144                               Monroe College         40.864011   \n",
       "145         Schenectady County Community College         42.815769   \n",
       "146         Schenectady County Community College         42.815769   \n",
       "147         Schenectady County Community College         42.815769   \n",
       "148         Schenectady County Community College         42.815769   \n",
       "149         Schenectady County Community College         42.815769   \n",
       "150         Schenectady County Community College         42.815769   \n",
       "151         Schenectady County Community College         42.815769   \n",
       "152         Schenectady County Community College         42.815769   \n",
       "153             Niagara County Community College         43.147226   \n",
       "154             Niagara County Community College         43.147226   \n",
       "155             Niagara County Community College         43.147226   \n",
       "156          Tompkins Cortland Community College         42.501435   \n",
       "157          Tompkins Cortland Community College         42.501435   \n",
       "158                  Jamestown Community College         42.113896   \n",
       "159                  Jamestown Community College         42.113896   \n",
       "160              Cayuga County Community College         42.943412   \n",
       "161                                  ASA College         40.692412   \n",
       "162                                  ASA College         40.692412   \n",
       "163                                  ASA College         40.692412   \n",
       "164                                  ASA College         40.692412   \n",
       "165                                  ASA College         40.692412   \n",
       "166                                  ASA College         40.692412   \n",
       "167                                  ASA College         40.692412   \n",
       "168                                  ASA College         40.692412   \n",
       "169                                  ASA College         40.692412   \n",
       "170                                  ASA College         40.692412   \n",
       "171                                  ASA College         40.692412   \n",
       "172                                  ASA College         40.692412   \n",
       "173                                  ASA College         40.692412   \n",
       "174                                  ASA College         40.692412   \n",
       "175                                  ASA College         40.692412   \n",
       "176                                  ASA College         40.692412   \n",
       "177                                  ASA College         40.692412   \n",
       "178                                  ASA College         40.692412   \n",
       "179                                  ASA College         40.692412   \n",
       "180                                  ASA College         40.692412   \n",
       "181                                  ASA College         40.692412   \n",
       "182                                  ASA College         40.692412   \n",
       "183                                  ASA College         40.692412   \n",
       "184                                  ASA College         40.692412   \n",
       "185                                  ASA College         40.692412   \n",
       "186                 Adirondack Community College         43.352938   \n",
       "187                 Adirondack Community College         43.352938   \n",
       "\n",
       "     College Longitude                                              Venue  \\\n",
       "0           -74.012180                             Washington Market Park   \n",
       "1           -74.012180                                 Whole Foods Market   \n",
       "2           -74.012180                                  SoulCycle TriBeCa   \n",
       "3           -74.012180                     Tribeca Performing Arts Center   \n",
       "4           -74.012180                                    Polarn O. Pyret   \n",
       "5           -74.012180                          Laughing Man Coffee & Tea   \n",
       "6           -74.012180                                Tribeca Greenmarket   \n",
       "7           -74.012180                                     Barnes & Noble   \n",
       "8           -74.012180                                      Muse Paintbar   \n",
       "9           -74.012180                                           The Palm   \n",
       "10          -74.012180                             Stuyvesant High School   \n",
       "11          -74.012180                                  Citi Bike Station   \n",
       "12          -74.012180                                   Gigino Trattoria   \n",
       "13          -74.012180                 Hudson River Park Basketball Court   \n",
       "14          -74.012180                       Battery Park City Ballfields   \n",
       "15          -74.012180                                     Gourmet Market   \n",
       "16          -74.012180                          Downtown Community Center   \n",
       "17          -74.012180                              Duane Park Patisserie   \n",
       "18          -74.012180                                       The Hideaway   \n",
       "19          -73.059024                                Islip Arts Building   \n",
       "20          -73.942597                                    Partners Coffee   \n",
       "21          -73.942597                                            Levante   \n",
       "22          -73.942597                                       Book Culture   \n",
       "23          -73.942597                                  Food Cellar & Co.   \n",
       "24          -73.942597                             Chipotle Mexican Grill   \n",
       "25          -73.942597                                          Starbucks   \n",
       "26          -73.942597                                  The Burger Garage   \n",
       "27          -73.942597                                    SculptureCenter   \n",
       "28          -73.942597                               Pantry Market Eatery   \n",
       "29          -73.942597                                       City Chemist   \n",
       "30          -73.942597                                  Court Square Park   \n",
       "31          -73.942597                                         Mr. Wonton   \n",
       "32          -73.942597                               SquareWine & Spirits   \n",
       "33          -73.942597                                        Brooks 1890   \n",
       "34          -73.942597                                    Daly Pie Pop Up   \n",
       "35          -73.934966  Kingsborough Performing Arts Center (@Kingsbor...   \n",
       "36          -73.934966                              West Academic Cluster   \n",
       "37          -73.934966                                      MAC Playhouse   \n",
       "38          -73.987307                 Brooklyn Bridge Bistro And Winebar   \n",
       "39          -73.987307                                    McLaughlin Park   \n",
       "40          -73.987307                                    Carpe Donut NYC   \n",
       "41          -73.987307                   Verizon Authorized Retailer, TCC   \n",
       "42          -73.987307                                     Concord Market   \n",
       "43          -73.987307                        ZogSports - McLaughlin Park   \n",
       "44          -73.756540                                          Starbucks   \n",
       "45          -73.756540                                    QCC Art Gallery   \n",
       "46          -73.756540  Queensborough Community College - Robert F. Ke...   \n",
       "47          -73.756540                                         QCC's Turf   \n",
       "48          -73.756540                               QCC Oakland Building   \n",
       "49          -77.616538                          Monroe Community Hospital   \n",
       "50          -77.616538                                           Citygate   \n",
       "51          -77.616538                                        Phone Booth   \n",
       "52          -77.616538                                  Pod Computer Inc.   \n",
       "53          -78.872623                                       Sahlen Field   \n",
       "54          -78.872623                      Washington Square Bar & Grill   \n",
       "55          -78.872623                      Charlie the Butcher's Express   \n",
       "56          -78.872623                    Burt Flickinger Athletic Center   \n",
       "57          -78.872623                                           ECC Pool   \n",
       "58          -78.872623                                        Tim Hortons   \n",
       "59          -78.872623                          Ellicott & South Division   \n",
       "60          -78.872623                               3rd Base Party Suite   \n",
       "61          -76.197343                                          Starbucks   \n",
       "62          -76.197343                                     Southwest YMCA   \n",
       "63          -73.687631                                             Ando's   \n",
       "64          -73.687631                                          T.J. Maxx   \n",
       "65          -73.687631                                       Panera Bread   \n",
       "66          -73.687631                                           Rite Aid   \n",
       "67          -73.687631                                             Redbox   \n",
       "68          -73.687631                                             Subway   \n",
       "69          -73.687631                                            Wendy’s   \n",
       "70          -73.687631                                Hudson Valley Plaza   \n",
       "71          -73.687631                                          China Wok   \n",
       "72          -73.687631                                      Yankee Dollar   \n",
       "73          -73.687631                         NY Wine & Liquor Warehouse   \n",
       "74          -73.912896                   Hall of Fame for Great Americans   \n",
       "75          -73.912896                                        Au Bon Pain   \n",
       "76          -73.912896    Alumni Gymnasium - CUNY Bronx Community College   \n",
       "77          -73.912896              NYU Honor Of Great Americans Fountain   \n",
       "78          -73.904261          Dutchess Community College Baseball Field   \n",
       "79          -73.994275                                    iLoveKickboxing   \n",
       "80          -73.994275         Marcelo Garcia Brazilian Jiu-Jitsu Academy   \n",
       "81          -73.994275                                 Rock Star Crystals   \n",
       "82          -73.994275                                ALT: A Little Taste   \n",
       "83          -73.994275                            Variety Coffee Roasters   \n",
       "84          -73.994275                           Martinez Handmade Cigars   \n",
       "85          -73.994275                          The National Opera Center   \n",
       "86          -73.994275                            Sid Gold's Request Room   \n",
       "87          -73.994275                                        The Shelter   \n",
       "88          -73.994275                               Chelsea Park Barbers   \n",
       "89          -73.994275                                  Dutch Flower Line   \n",
       "90          -73.994275                                          Five Guys   \n",
       "91          -73.994275                                      Maison Kayser   \n",
       "92          -73.994275                                        buybuy BABY   \n",
       "93          -73.994275                              Ninth Street Espresso   \n",
       "94          -73.994275                                          Starbucks   \n",
       "95          -73.994275                                      Pret A Manger   \n",
       "96          -73.994275                                     FIT Building A   \n",
       "97          -73.994275                                       Nails & More   \n",
       "98          -73.994275                                      Flash Factory   \n",
       "99          -73.994275                              Abacky Fusion Cuisine   \n",
       "100         -73.994275                                  Mission Nightclub   \n",
       "101         -75.216660                                       MVCC THEATER   \n",
       "102         -75.216660                                          MVCC Pool   \n",
       "103         -73.926841                              Giovanni's Restaurant   \n",
       "104         -73.926841                     State Supply Equipment & Props   \n",
       "105         -73.926841                              Glacken's Bar & Grill   \n",
       "106         -73.926841                                              G Bar   \n",
       "107         -73.926841                 Sam's Soul Food Restaurant and Bar   \n",
       "108         -73.926841                                       Zona De Cuba   \n",
       "109         -73.926841                                  Glen Roy's Tavern   \n",
       "110         -73.926841                                        Häagen-Dazs   \n",
       "111         -73.926841                                           Sunlight   \n",
       "112         -73.926841                          Popeyes Louisiana Kitchen   \n",
       "113         -73.926841                                           T-Mobile   \n",
       "114         -73.926841                             Mott Haven Campus Turf   \n",
       "115         -73.926841                                            Dunkin'   \n",
       "116         -73.926841                                           7-Eleven   \n",
       "117         -73.926841               Hostos Center for the Arts & Culture   \n",
       "118         -73.926841                                        Burger King   \n",
       "119         -73.926841                                         McDonald's   \n",
       "120         -75.905046                                          Starbucks   \n",
       "121         -75.905046                     Abeetz Flatbread Pizza Company   \n",
       "122         -75.905046                                   GHS Credit Union   \n",
       "123         -75.905046                                     T.L.C Pizzeria   \n",
       "124         -74.426008                              SUNY Orange Bookstore   \n",
       "125         -74.426008                          SUNY Orange - Orange Hall   \n",
       "126         -73.958363                                      Billy's Pizza   \n",
       "127         -73.958363                        Balboa Caribbean restaurant   \n",
       "128         -73.958363                                         Koala Café   \n",
       "129         -73.958363                                           Rite Aid   \n",
       "130         -73.958363                                  subway restaurant   \n",
       "131         -73.958363                         Ebbets Field (Former Site)   \n",
       "132         -73.958363                                           Foodtown   \n",
       "133         -73.958363                                            Dunkin'   \n",
       "134         -73.900331                       Morton Williams Supermarkets   \n",
       "135         -73.900331                                      Panda Express   \n",
       "136         -73.900331                                               AT&T   \n",
       "137         -73.900331                                            Dunkin'   \n",
       "138         -73.900331                                           T-Mobile   \n",
       "139         -73.900331                                          Gyro King   \n",
       "140         -73.900331                                          Taco Bell   \n",
       "141         -73.900331                      El Valle Restaurant Sport Bar   \n",
       "142         -73.900331                                        Bella Pizza   \n",
       "143         -73.900331                                         Twin Donut   \n",
       "144         -73.900331                                Tropical Health Bar   \n",
       "145         -73.949371                                 Frog Alley Brewing   \n",
       "146         -73.949371                        Schenectady Civic Playhouse   \n",
       "147         -73.949371                                       Stockade Inn   \n",
       "148         -73.949371                                                KFC   \n",
       "149         -73.949371                             Stockade Market & Deli   \n",
       "150         -73.949371                                          YWCA NENY   \n",
       "151         -73.949371              Schenectady County Historical Society   \n",
       "152         -73.949371                                 SCCC College Store   \n",
       "153         -78.877374                                        Tim Hortons   \n",
       "154         -78.877374                                        Tim Hortons   \n",
       "155         -78.877374                                NCCC Fitness Center   \n",
       "156         -76.298132                                     Dollar General   \n",
       "157         -76.298132                                   Papa Johns Pizza   \n",
       "158         -79.217255                                    AJ's Texas Hots   \n",
       "159         -79.217255                             Honest John's Pizzeria   \n",
       "160         -76.543207            Irene Bisgrove Community Theatre at CCC   \n",
       "161         -73.985971                                 Xi'an Famous Foods   \n",
       "162         -73.985971                        Hawa Smoothies & Bubble Tea   \n",
       "163         -73.985971                                The Brooklyner Roof   \n",
       "164         -73.985971                                   Myrtle Promenade   \n",
       "165         -73.985971                                 The Brooklyner Gym   \n",
       "166         -73.985971                                          Five Guys   \n",
       "167         -73.985971                                        Korilla BBQ   \n",
       "168         -73.985971                                          Pio Bagel   \n",
       "169         -73.985971                                    Doner Kebab NYC   \n",
       "170         -73.985971                                    Carpe Donut NYC   \n",
       "171         -73.985971                            Manhattan Athletic Club   \n",
       "172         -73.985971                                   Circa Brewing Co   \n",
       "173         -73.985971                                          Luciano's   \n",
       "174         -73.985971                                       Yaso Tangbao   \n",
       "175         -73.985971                             Gong Cha 貢茶 (Gong Cha)   \n",
       "176         -73.985971                                             Zumiez   \n",
       "177         -73.985971                                      Pret A Manger   \n",
       "178         -73.985971                                       Bigeye Sushi   \n",
       "179         -73.985971                            Downtown Natural Market   \n",
       "180         -73.985971                               Skyline Gourmet Deli   \n",
       "181         -73.985971                   Verizon Authorized Retailer, TCC   \n",
       "182         -73.985971                                           T-Mobile   \n",
       "183         -73.985971                                            Blimpie   \n",
       "184         -73.985971                            Aloft New York Brooklyn   \n",
       "185         -73.985971                                               AT&T   \n",
       "186         -73.653373                               Lunch With Acc Bunch   \n",
       "187         -73.653373                                      The Cafeteria   \n",
       "\n",
       "     Venue Latitude  Venue Longitude                   Venue Category  \n",
       "0         40.717046       -74.011095                       Playground  \n",
       "1         40.715579       -74.011368                    Grocery Store  \n",
       "2         40.716178       -74.013007                     Cycle Studio  \n",
       "3         40.717594       -74.012198            Performing Arts Venue  \n",
       "4         40.716737       -74.011987                       Kids Store  \n",
       "5         40.717394       -74.010103                      Coffee Shop  \n",
       "6         40.716802       -74.010880                   Farmers Market  \n",
       "7         40.715605       -74.011786                        Bookstore  \n",
       "8         40.717701       -74.010549                      Art Gallery  \n",
       "9         40.716348       -74.012998                       Steakhouse  \n",
       "10        40.717609       -74.013203                      High School  \n",
       "11        40.717405       -74.013020         Bike Rental / Bike Share  \n",
       "12        40.717300       -74.010688               Italian Restaurant  \n",
       "13        40.718763       -74.012985                 Basketball Court  \n",
       "14        40.715979       -74.013604                   Baseball Field  \n",
       "15        40.717216       -74.014312                    Deli / Bodega  \n",
       "16        40.716262       -74.012576                 Community Center  \n",
       "17        40.717338       -74.009988                           Bakery  \n",
       "18        40.717440       -74.010384              American Restaurant  \n",
       "19        40.849296       -73.058140            College Arts Building  \n",
       "20        40.747569       -73.941455                      Coffee Shop  \n",
       "21        40.747518       -73.941590                      Pizza Place  \n",
       "22        40.747451       -73.942048                        Bookstore  \n",
       "23        40.748097       -73.942784                      Supermarket  \n",
       "24        40.747227       -73.941649               Mexican Restaurant  \n",
       "25        40.747459       -73.942031                      Coffee Shop  \n",
       "26        40.746847       -73.942472                     Burger Joint  \n",
       "27        40.746952       -73.941068                       Art Museum  \n",
       "28        40.746394       -73.944564                   Breakfast Spot  \n",
       "29        40.747389       -73.943118                         Pharmacy  \n",
       "30        40.746629       -73.943696                             Park  \n",
       "31        40.747037       -73.942023               Chinese Restaurant  \n",
       "32        40.746248       -73.944574                        Wine Shop  \n",
       "33        40.746538       -73.944077               Italian Restaurant  \n",
       "34        40.747710       -73.941234                         Pie Shop  \n",
       "35        40.577768       -73.934847            Performing Arts Venue  \n",
       "36        40.577013       -73.934837        College Academic Building  \n",
       "37        40.577533       -73.934423                          Theater  \n",
       "38        40.696594       -73.988312                           Bistro  \n",
       "39        40.696390       -73.986495                             Park  \n",
       "40        40.693781       -73.986845                       Food Truck  \n",
       "41        40.693744       -73.987476                Mobile Phone Shop  \n",
       "42        40.696524       -73.987350                    Grocery Store  \n",
       "43        40.696307       -73.985606                             Park  \n",
       "44        40.755699       -73.756264                      Coffee Shop  \n",
       "45        40.754957       -73.755999                      Art Gallery  \n",
       "46        40.756351       -73.758292                             Pool  \n",
       "47        40.755368       -73.757468                 Sculpture Garden  \n",
       "48        40.755673       -73.757996                      Art Gallery  \n",
       "49        43.114688       -77.615997                         Hospital  \n",
       "50        43.115766       -77.616003                    Shopping Mall  \n",
       "51        43.114717       -77.616187                Mobile Phone Shop  \n",
       "52        43.117292       -77.616831                Electronics Store  \n",
       "53        42.880929       -78.874036                 Baseball Stadium  \n",
       "54        42.882041       -78.874358                              Bar  \n",
       "55        42.882219       -78.874930                   Sandwich Place  \n",
       "56        42.881650       -78.871468                      College Gym  \n",
       "57        42.881921       -78.871222                         Gym Pool  \n",
       "58        42.883346       -78.872024                      Coffee Shop  \n",
       "59        42.882582       -78.874221                     Intersection  \n",
       "60        42.880683       -78.872994                 Baseball Stadium  \n",
       "61        43.006091       -76.197331                      Coffee Shop  \n",
       "62        43.006097       -76.195963                              Gym  \n",
       "63        42.696696       -73.689798                   Cosmetics Shop  \n",
       "64        42.696207       -73.689424                 Department Store  \n",
       "65        42.695271       -73.688438                           Bakery  \n",
       "66        42.695948       -73.688650                         Pharmacy  \n",
       "67        42.697538       -73.688391                      Video Store  \n",
       "68        42.696729       -73.688865                   Sandwich Place  \n",
       "69        42.696724       -73.688879             Fast Food Restaurant  \n",
       "70        42.696796       -73.689682                    Shopping Mall  \n",
       "71        42.696661       -73.689934               Chinese Restaurant  \n",
       "72        42.696408       -73.689918                   Discount Store  \n",
       "73        42.696253       -73.689720                  Warehouse Store  \n",
       "74        40.858679       -73.914495                   History Museum  \n",
       "75        40.858062       -73.912040                           Bakery  \n",
       "76        40.856683       -73.911255                      College Gym  \n",
       "77        40.858450       -73.914440                   Scenic Lookout  \n",
       "78        41.726782       -73.905673                   Baseball Field  \n",
       "79        40.746340       -73.992900                       Boxing Gym  \n",
       "80        40.746565       -73.996275                Martial Arts Dojo  \n",
       "81        40.745633       -73.993508               Miscellaneous Shop  \n",
       "82        40.746854       -73.992449                             Café  \n",
       "83        40.745223       -73.994596                      Coffee Shop  \n",
       "84        40.747769       -73.992685                       Smoke Shop  \n",
       "85        40.747644       -73.993106            Performing Arts Venue  \n",
       "86        40.745804       -73.993877                        Piano Bar  \n",
       "87        40.745921       -73.992849                    Indie Theater  \n",
       "88        40.746952       -73.996524          Health & Beauty Service  \n",
       "89        40.747016       -73.992689                      Flower Shop  \n",
       "90        40.747951       -73.992603                     Burger Joint  \n",
       "91        40.747732       -73.992877                French Restaurant  \n",
       "92        40.745797       -73.994753                       Baby Store  \n",
       "93        40.748248       -73.993739                      Coffee Shop  \n",
       "94        40.747550       -73.995624                      Coffee Shop  \n",
       "95        40.748016       -73.992956                   Sandwich Place  \n",
       "96        40.747581       -73.995925        College Academic Building  \n",
       "97        40.747744       -73.996293                       Nail Salon  \n",
       "98        40.747922       -73.994877                      Music Venue  \n",
       "99        40.747208       -73.996616                  Thai Restaurant  \n",
       "100       40.747934       -73.994962                        Nightclub  \n",
       "101       43.076211       -75.217322                          Theater  \n",
       "102       43.075221       -75.217715                             Pool  \n",
       "103       40.819362       -73.927029                              Bar  \n",
       "104       40.818210       -73.928638                   Rental Service  \n",
       "105       40.818988       -73.928765                              Bar  \n",
       "106       40.819347       -73.927066                      Karaoke Bar  \n",
       "107       40.819826       -73.926618  Southern / Soul Food Restaurant  \n",
       "108       40.818898       -73.926587                 Cuban Restaurant  \n",
       "109       40.818819       -73.927970                              Pub  \n",
       "110       40.819248       -73.926951                   Ice Cream Shop  \n",
       "111       40.818906       -73.928324                             Café  \n",
       "112       40.819040       -73.927101              Fried Chicken Joint  \n",
       "113       40.818784       -73.927434                Mobile Phone Shop  \n",
       "114       40.818644       -73.927156               Athletics & Sports  \n",
       "115       40.818801       -73.927521                       Donut Shop  \n",
       "116       40.818929       -73.927450                Convenience Store  \n",
       "117       40.817325       -73.927070                          Theater  \n",
       "118       40.819018       -73.927314             Fast Food Restaurant  \n",
       "119       40.819839       -73.927037             Fast Food Restaurant  \n",
       "120       42.136425       -75.904455                      Coffee Shop  \n",
       "121       42.137505       -75.905217                      Pizza Place  \n",
       "122       42.137271       -75.904252                     Credit Union  \n",
       "123       42.136468       -75.904566                      Pizza Place  \n",
       "124       41.437499       -74.425904                        Bookstore  \n",
       "125       41.439731       -74.426689                  College Theater  \n",
       "126       40.667097       -73.956329                      Pizza Place  \n",
       "127       40.666130       -73.956761                Paella Restaurant  \n",
       "128       40.667650       -73.959040                      Coffee Shop  \n",
       "129       40.665319       -73.956669                         Pharmacy  \n",
       "130       40.667267       -73.956622                   Sandwich Place  \n",
       "131       40.665088       -73.958062                    Historic Site  \n",
       "132       40.667616       -73.959025                    Grocery Store  \n",
       "133       40.665560       -73.956627                       Donut Shop  \n",
       "134       40.863212       -73.900867                      Supermarket  \n",
       "135       40.863001       -73.900894               Chinese Restaurant  \n",
       "136       40.862355       -73.900537                Mobile Phone Shop  \n",
       "137       40.862506       -73.900895                       Donut Shop  \n",
       "138       40.862793       -73.900455                Mobile Phone Shop  \n",
       "139       40.862324       -73.900427                 Greek Restaurant  \n",
       "140       40.862756       -73.901080             Fast Food Restaurant  \n",
       "141       40.862359       -73.900844               Spanish Restaurant  \n",
       "142       40.863110       -73.901716                      Pizza Place  \n",
       "143       40.862934       -73.901239                       Donut Shop  \n",
       "144       40.862546       -73.901401                        Juice Bar  \n",
       "145       42.815067       -73.947325                          Brewery  \n",
       "146       42.815702       -73.947535                          Theater  \n",
       "147       42.816733       -73.947733                            Hotel  \n",
       "148       42.815369       -73.947034              Fried Chicken Joint  \n",
       "149       42.815170       -73.948024                Convenience Store  \n",
       "150       42.816637       -73.949015                              Gym  \n",
       "151       42.816905       -73.949404                   History Museum  \n",
       "152       42.814978       -73.950080                College Bookstore  \n",
       "153       43.146980       -78.877422                      Coffee Shop  \n",
       "154       43.147207       -78.876640                      Coffee Shop  \n",
       "155       43.146978       -78.876079             Gym / Fitness Center  \n",
       "156       42.502218       -76.299157                   Discount Store  \n",
       "157       42.501758       -76.295778                      Pizza Place  \n",
       "158       42.113043       -79.216202                    Hot Dog Joint  \n",
       "159       42.112967       -79.216701                      Pizza Place  \n",
       "160       42.943539       -76.543655                          Theater  \n",
       "161       40.692170       -73.986730               Chinese Restaurant  \n",
       "162       40.692173       -73.987004                        Juice Bar  \n",
       "163       40.692843       -73.985979                        Roof Deck  \n",
       "164       40.693666       -73.986021                            Plaza  \n",
       "165       40.692657       -73.986172                              Gym  \n",
       "166       40.693571       -73.985947                     Burger Joint  \n",
       "167       40.693803       -73.985843                 Asian Restaurant  \n",
       "168       40.692159       -73.986368                       Bagel Shop  \n",
       "169       40.692116       -73.987493                 Kebab Restaurant  \n",
       "170       40.693781       -73.986845                       Food Truck  \n",
       "171       40.691572       -73.985522                              Gym  \n",
       "172       40.691685       -73.986218                          Brewery  \n",
       "173       40.693986       -73.985421               Italian Restaurant  \n",
       "174       40.691733       -73.986454              Shanghai Restaurant  \n",
       "175       40.691512       -73.986349                  Bubble Tea Shop  \n",
       "176       40.691873       -73.987841                   Clothing Store  \n",
       "177       40.693555       -73.985378                French Restaurant  \n",
       "178       40.693227       -73.985739                 Sushi Restaurant  \n",
       "179       40.692240       -73.987010                    Grocery Store  \n",
       "180       40.692134       -73.986268                    Deli / Bodega  \n",
       "181       40.693744       -73.987476                Mobile Phone Shop  \n",
       "182       40.691752       -73.987606                Mobile Phone Shop  \n",
       "183       40.692171       -73.988096                   Sandwich Place  \n",
       "184       40.691674       -73.984485                            Hotel  \n",
       "185       40.691590       -73.987080                Mobile Phone Shop  \n",
       "186       43.351713       -73.654551                             Food  \n",
       "187       43.351816       -73.654452              American Restaurant  "
      ]
     },
     "execution_count": 589,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ny_venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 634,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# Inspect the variety of venue categories fetched by the api\n",
    "venue_list = list(ny_venues['Venue Category'])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Filtering the required venues\n",
    "\n",
    "The Venue categories obtained, have a wide variety of categories including some like kids stores and office spaces, which would be reduntant for our analysis. \n",
    "Some of the hotspots that students hang out around would be bars,pubs,libraries,restaurants,cafes etc. We will only use these in our analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 604,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Search for bar, pub and other hotspots in venue category using regex.\n",
    "v = 'Pub|Bar|Restaurant|Cafe|Pizza Place|Bookstore|Basketball Court|Supermarket|Wine|Coffee|Playground|Pool|Bistro|Gym|breakfast|Burger|Sandwich'\n",
    "\n",
    "\n",
    "venues = ny_venues['Venue Category'].str.contains(v,regex = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 605,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(83, 7)"
      ]
     },
     "execution_count": 605,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ny_hotspots = ny_venues[venues]\n",
    "ny_hotspots.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 606,
   "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>College</th>\n",
       "      <th>College Latitude</th>\n",
       "      <th>College Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.01218</td>\n",
       "      <td>Washington Market Park</td>\n",
       "      <td>40.717046</td>\n",
       "      <td>-74.011095</td>\n",
       "      <td>Playground</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.01218</td>\n",
       "      <td>Laughing Man Coffee &amp; Tea</td>\n",
       "      <td>40.717394</td>\n",
       "      <td>-74.010103</td>\n",
       "      <td>Coffee Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.01218</td>\n",
       "      <td>Barnes &amp; Noble</td>\n",
       "      <td>40.715605</td>\n",
       "      <td>-74.011786</td>\n",
       "      <td>Bookstore</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.01218</td>\n",
       "      <td>Gigino Trattoria</td>\n",
       "      <td>40.717300</td>\n",
       "      <td>-74.010688</td>\n",
       "      <td>Italian Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>40.717249</td>\n",
       "      <td>-74.01218</td>\n",
       "      <td>Hudson River Park Basketball Court</td>\n",
       "      <td>40.718763</td>\n",
       "      <td>-74.012985</td>\n",
       "      <td>Basketball Court</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        College  College Latitude  \\\n",
       "0   CUNY Borough of Manhattan Community College         40.717249   \n",
       "5   CUNY Borough of Manhattan Community College         40.717249   \n",
       "7   CUNY Borough of Manhattan Community College         40.717249   \n",
       "12  CUNY Borough of Manhattan Community College         40.717249   \n",
       "13  CUNY Borough of Manhattan Community College         40.717249   \n",
       "\n",
       "    College Longitude                               Venue  Venue Latitude  \\\n",
       "0           -74.01218              Washington Market Park       40.717046   \n",
       "5           -74.01218           Laughing Man Coffee & Tea       40.717394   \n",
       "7           -74.01218                      Barnes & Noble       40.715605   \n",
       "12          -74.01218                    Gigino Trattoria       40.717300   \n",
       "13          -74.01218  Hudson River Park Basketball Court       40.718763   \n",
       "\n",
       "    Venue Longitude      Venue Category  \n",
       "0        -74.011095          Playground  \n",
       "5        -74.010103         Coffee Shop  \n",
       "7        -74.011786           Bookstore  \n",
       "12       -74.010688  Italian Restaurant  \n",
       "13       -74.012985    Basketball Court  "
      ]
     },
     "execution_count": 606,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ny_hotspots.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Insights into the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 593,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total number of community colleges : 29\n",
      "Number of colleges with trending venues around them : 26\n"
     ]
    }
   ],
   "source": [
    "print('Total number of community colleges : {}'.format(len(cc_df['College'].unique())))\n",
    "print('Number of colleges with trending venues around them : {}'.format(len(ny_venues['College'].unique())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 613,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Coffee Shop             13\n",
       "Pizza Place              7\n",
       "Sandwich Place           5\n",
       "Chinese Restaurant       4\n",
       "Gym                      4\n",
       "Fast Food Restaurant     4\n",
       "Bookstore                3\n",
       "Burger Joint             3\n",
       "Bar                      3\n",
       "Italian Restaurant       3\n",
       "Name: Venue Category, dtype: int64"
      ]
     },
     "execution_count": 613,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ny_hotspots['Venue Category'].value_counts()[0:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most popular hotspots are Coffee shops and Pizza places. Gyms are the only non-eatery place that have made to the top 5 hotspots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 615,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ASA College                                    12\n",
       "CUNY LaGuardia Community College               10\n",
       "Fashion Institute of Technology                 9\n",
       "CUNY Hostos Community College                   8\n",
       "Monroe College                                  7\n",
       "CUNY Borough of Manhattan Community College     6\n",
       "Name: College, dtype: int64"
      ]
     },
     "execution_count": 615,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ny_hotspots['College'].value_counts()[0:6]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List of colleges with most trending places in their vicinity. These colleges' neighborhoods could potentially make for a great place for a student hostel since it has all the amenties around and is also less than 200 meters from the college. But we will also have to take into account the number of students enrolled in each college."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing each college\n",
    "\n",
    "We can one hot encode the categories and analyze the colleges and their vicinities further."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 623,
   "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>College</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Wine Shop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        College  American Restaurant  \\\n",
       "0   CUNY Borough of Manhattan Community College                    0   \n",
       "5   CUNY Borough of Manhattan Community College                    0   \n",
       "7   CUNY Borough of Manhattan Community College                    0   \n",
       "12  CUNY Borough of Manhattan Community College                    0   \n",
       "13  CUNY Borough of Manhattan Community College                    0   \n",
       "\n",
       "    Asian Restaurant  Bar  Basketball Court  Bistro  Bookstore  Boxing Gym  \\\n",
       "0                  0    0                 0       0          0           0   \n",
       "5                  0    0                 0       0          0           0   \n",
       "7                  0    0                 0       0          1           0   \n",
       "12                 0    0                 0       0          0           0   \n",
       "13                 0    0                 1       0          0           0   \n",
       "\n",
       "    Burger Joint  Chinese Restaurant  ...  Pool  Pub  Sandwich Place  \\\n",
       "0              0                   0  ...     0    0               0   \n",
       "5              0                   0  ...     0    0               0   \n",
       "7              0                   0  ...     0    0               0   \n",
       "12             0                   0  ...     0    0               0   \n",
       "13             0                   0  ...     0    0               0   \n",
       "\n",
       "    Shanghai Restaurant  Southern / Soul Food Restaurant  Spanish Restaurant  \\\n",
       "0                     0                                0                   0   \n",
       "5                     0                                0                   0   \n",
       "7                     0                                0                   0   \n",
       "12                    0                                0                   0   \n",
       "13                    0                                0                   0   \n",
       "\n",
       "    Supermarket  Sushi Restaurant  Thai Restaurant  Wine Shop  \n",
       "0             0                 0                0          0  \n",
       "5             0                 0                0          0  \n",
       "7             0                 0                0          0  \n",
       "12            0                 0                0          0  \n",
       "13            0                 0                0          0  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 623,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ny_onehot = pd.get_dummies(ny_hotspots[['Venue Category']], prefix=\"\", prefix_sep=\"\")\n",
    "\n",
    "#Adding back the college names\n",
    "ny_onehot['College'] = ny_hotspots['College'] \n",
    "\n",
    "# move neighborhood column to the first column\n",
    "fixed_columns = [ny_onehot.columns[-1]] + list(ny_onehot.columns[:-1])\n",
    "ny_onehot = ny_onehot[fixed_columns]\n",
    "\n",
    "ny_onehot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 662,
   "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>College</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Wine Shop</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       College  American Restaurant  \\\n",
       "0                                  ASA College             0.000000   \n",
       "1                 Adirondack Community College             1.000000   \n",
       "2  CUNY Borough of Manhattan Community College             0.166667   \n",
       "3                 CUNY Bronx Community College             0.000000   \n",
       "4                CUNY Hostos Community College             0.000000   \n",
       "\n",
       "   Asian Restaurant   Bar  Basketball Court  Bistro  Bookstore  Boxing Gym  \\\n",
       "0          0.083333  0.00          0.000000     0.0   0.000000         0.0   \n",
       "1          0.000000  0.00          0.000000     0.0   0.000000         0.0   \n",
       "2          0.000000  0.00          0.166667     0.0   0.166667         0.0   \n",
       "3          0.000000  0.00          0.000000     0.0   0.000000         0.0   \n",
       "4          0.000000  0.25          0.000000     0.0   0.000000         0.0   \n",
       "\n",
       "   Burger Joint  Chinese Restaurant  ...  Pool    Pub  Sandwich Place  \\\n",
       "0      0.083333            0.083333  ...   0.0  0.000        0.083333   \n",
       "1      0.000000            0.000000  ...   0.0  0.000        0.000000   \n",
       "2      0.000000            0.000000  ...   0.0  0.000        0.000000   \n",
       "3      0.000000            0.000000  ...   0.0  0.000        0.000000   \n",
       "4      0.000000            0.000000  ...   0.0  0.125        0.000000   \n",
       "\n",
       "   Shanghai Restaurant  Southern / Soul Food Restaurant  Spanish Restaurant  \\\n",
       "0             0.083333                            0.000                 0.0   \n",
       "1             0.000000                            0.000                 0.0   \n",
       "2             0.000000                            0.000                 0.0   \n",
       "3             0.000000                            0.000                 0.0   \n",
       "4             0.000000                            0.125                 0.0   \n",
       "\n",
       "   Supermarket  Sushi Restaurant  Thai Restaurant  Wine Shop  \n",
       "0          0.0          0.083333              0.0        0.0  \n",
       "1          0.0          0.000000              0.0        0.0  \n",
       "2          0.0          0.000000              0.0        0.0  \n",
       "3          0.0          0.000000              0.0        0.0  \n",
       "4          0.0          0.000000              0.0        0.0  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 662,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Let's group by the college name and obtain the average count.\n",
    "ny_grouped = ny_onehot.groupby('College').mean().reset_index()\n",
    "\n",
    "ny_grouped.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 637,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "21"
      ]
     },
     "execution_count": 637,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ny_grouped['College'].unique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 663,
   "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>College</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th># Students</th>\n",
       "      <th>Location</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4,624</td>\n",
       "      <td>81 Willoughby Street,Brooklyn</td>\n",
       "      <td>40.6924</td>\n",
       "      <td>-73.986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4,247</td>\n",
       "      <td>640 Bay Rd,Queensbury</td>\n",
       "      <td>43.3529</td>\n",
       "      <td>-73.6534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26,606</td>\n",
       "      <td>199 Chambers St,New York</td>\n",
       "      <td>40.7172</td>\n",
       "      <td>-74.0122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11,506</td>\n",
       "      <td>2155 University Avenue,Bronx</td>\n",
       "      <td>40.8577</td>\n",
       "      <td>-73.9129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6,985</td>\n",
       "      <td>500 Grand Concourse,Bronx</td>\n",
       "      <td>40.8181</td>\n",
       "      <td>-73.9268</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       College  American Restaurant  \\\n",
       "0                                  ASA College             0.000000   \n",
       "1                 Adirondack Community College             1.000000   \n",
       "2  CUNY Borough of Manhattan Community College             0.166667   \n",
       "3                 CUNY Bronx Community College             0.000000   \n",
       "4                CUNY Hostos Community College             0.000000   \n",
       "\n",
       "   Asian Restaurant   Bar  Basketball Court  Bistro  Bookstore  Boxing Gym  \\\n",
       "0          0.083333  0.00          0.000000     0.0   0.000000         0.0   \n",
       "1          0.000000  0.00          0.000000     0.0   0.000000         0.0   \n",
       "2          0.000000  0.00          0.166667     0.0   0.166667         0.0   \n",
       "3          0.000000  0.00          0.000000     0.0   0.000000         0.0   \n",
       "4          0.000000  0.25          0.000000     0.0   0.000000         0.0   \n",
       "\n",
       "   Burger Joint  Chinese Restaurant  ...  Southern / Soul Food Restaurant  \\\n",
       "0      0.083333            0.083333  ...                            0.000   \n",
       "1      0.000000            0.000000  ...                            0.000   \n",
       "2      0.000000            0.000000  ...                            0.000   \n",
       "3      0.000000            0.000000  ...                            0.000   \n",
       "4      0.000000            0.000000  ...                            0.125   \n",
       "\n",
       "   Spanish Restaurant  Supermarket  Sushi Restaurant  Thai Restaurant  \\\n",
       "0                 0.0          0.0          0.083333              0.0   \n",
       "1                 0.0          0.0          0.000000              0.0   \n",
       "2                 0.0          0.0          0.000000              0.0   \n",
       "3                 0.0          0.0          0.000000              0.0   \n",
       "4                 0.0          0.0          0.000000              0.0   \n",
       "\n",
       "   Wine Shop  # Students                       Location  Latitude  Longitude  \n",
       "0        0.0       4,624  81 Willoughby Street,Brooklyn   40.6924    -73.986  \n",
       "1        0.0       4,247          640 Bay Rd,Queensbury   43.3529   -73.6534  \n",
       "2        0.0      26,606       199 Chambers St,New York   40.7172   -74.0122  \n",
       "3        0.0      11,506   2155 University Avenue,Bronx   40.8577   -73.9129  \n",
       "4        0.0       6,985      500 Grand Concourse,Bronx   40.8181   -73.9268  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 663,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Merge the 2 dataframes to get the student count.\n",
    "ny_grouped = pd.merge(ny_grouped,cc_df, on = 'College')\n",
    "\n",
    "ny_grouped.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 664,
   "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>College</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>...</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th># Students</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4,624</td>\n",
       "      <td>40.6924</td>\n",
       "      <td>-73.986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4,247</td>\n",
       "      <td>43.3529</td>\n",
       "      <td>-73.6534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26,606</td>\n",
       "      <td>40.7172</td>\n",
       "      <td>-74.0122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11,506</td>\n",
       "      <td>40.8577</td>\n",
       "      <td>-73.9129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6,985</td>\n",
       "      <td>40.8181</td>\n",
       "      <td>-73.9268</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       College  American Restaurant  \\\n",
       "0                                  ASA College             0.000000   \n",
       "1                 Adirondack Community College             1.000000   \n",
       "2  CUNY Borough of Manhattan Community College             0.166667   \n",
       "3                 CUNY Bronx Community College             0.000000   \n",
       "4                CUNY Hostos Community College             0.000000   \n",
       "\n",
       "   Asian Restaurant   Bar  Basketball Court  Bistro  Bookstore  Boxing Gym  \\\n",
       "0          0.083333  0.00          0.000000     0.0   0.000000         0.0   \n",
       "1          0.000000  0.00          0.000000     0.0   0.000000         0.0   \n",
       "2          0.000000  0.00          0.166667     0.0   0.166667         0.0   \n",
       "3          0.000000  0.00          0.000000     0.0   0.000000         0.0   \n",
       "4          0.000000  0.25          0.000000     0.0   0.000000         0.0   \n",
       "\n",
       "   Burger Joint  Chinese Restaurant  ...  Shanghai Restaurant  \\\n",
       "0      0.083333            0.083333  ...             0.083333   \n",
       "1      0.000000            0.000000  ...             0.000000   \n",
       "2      0.000000            0.000000  ...             0.000000   \n",
       "3      0.000000            0.000000  ...             0.000000   \n",
       "4      0.000000            0.000000  ...             0.000000   \n",
       "\n",
       "   Southern / Soul Food Restaurant  Spanish Restaurant  Supermarket  \\\n",
       "0                            0.000                 0.0          0.0   \n",
       "1                            0.000                 0.0          0.0   \n",
       "2                            0.000                 0.0          0.0   \n",
       "3                            0.000                 0.0          0.0   \n",
       "4                            0.125                 0.0          0.0   \n",
       "\n",
       "   Sushi Restaurant  Thai Restaurant  Wine Shop  # Students  Latitude  \\\n",
       "0          0.083333              0.0        0.0       4,624   40.6924   \n",
       "1          0.000000              0.0        0.0       4,247   43.3529   \n",
       "2          0.000000              0.0        0.0      26,606   40.7172   \n",
       "3          0.000000              0.0        0.0      11,506   40.8577   \n",
       "4          0.000000              0.0        0.0       6,985   40.8181   \n",
       "\n",
       "   Longitude  \n",
       "0    -73.986  \n",
       "1   -73.6534  \n",
       "2   -74.0122  \n",
       "3   -73.9129  \n",
       "4   -73.9268  \n",
       "\n",
       "[5 rows x 42 columns]"
      ]
     },
     "execution_count": 664,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#drop the unwanted columns\n",
    "ny_grouped = ny_grouped.drop(['Location'],axis = 1)\n",
    "\n",
    "ny_grouped.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 665,
   "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>College</th>\n",
       "      <th>No._of_students</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>...</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>4,624</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.6924</td>\n",
       "      <td>-73.986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>4,247</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.3529</td>\n",
       "      <td>-73.6534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>26,606</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.7172</td>\n",
       "      <td>-74.0122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>11,506</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.8577</td>\n",
       "      <td>-73.9129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>6,985</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.8181</td>\n",
       "      <td>-73.9268</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       College No._of_students  \\\n",
       "0                                  ASA College           4,624   \n",
       "1                 Adirondack Community College           4,247   \n",
       "2  CUNY Borough of Manhattan Community College          26,606   \n",
       "3                 CUNY Bronx Community College          11,506   \n",
       "4                CUNY Hostos Community College           6,985   \n",
       "\n",
       "   American Restaurant  Asian Restaurant   Bar  Basketball Court  Bistro  \\\n",
       "0             0.000000          0.083333  0.00          0.000000     0.0   \n",
       "1             1.000000          0.000000  0.00          0.000000     0.0   \n",
       "2             0.166667          0.000000  0.00          0.166667     0.0   \n",
       "3             0.000000          0.000000  0.00          0.000000     0.0   \n",
       "4             0.000000          0.000000  0.25          0.000000     0.0   \n",
       "\n",
       "   Bookstore  Boxing Gym  Burger Joint  ...  Sandwich Place  \\\n",
       "0   0.000000         0.0      0.083333  ...        0.083333   \n",
       "1   0.000000         0.0      0.000000  ...        0.000000   \n",
       "2   0.166667         0.0      0.000000  ...        0.000000   \n",
       "3   0.000000         0.0      0.000000  ...        0.000000   \n",
       "4   0.000000         0.0      0.000000  ...        0.000000   \n",
       "\n",
       "   Shanghai Restaurant  Southern / Soul Food Restaurant  Spanish Restaurant  \\\n",
       "0             0.083333                            0.000                 0.0   \n",
       "1             0.000000                            0.000                 0.0   \n",
       "2             0.000000                            0.000                 0.0   \n",
       "3             0.000000                            0.000                 0.0   \n",
       "4             0.000000                            0.125                 0.0   \n",
       "\n",
       "   Supermarket  Sushi Restaurant  Thai Restaurant  Wine Shop  Latitude  \\\n",
       "0          0.0          0.083333              0.0        0.0   40.6924   \n",
       "1          0.0          0.000000              0.0        0.0   43.3529   \n",
       "2          0.0          0.000000              0.0        0.0   40.7172   \n",
       "3          0.0          0.000000              0.0        0.0   40.8577   \n",
       "4          0.0          0.000000              0.0        0.0   40.8181   \n",
       "\n",
       "   Longitude  \n",
       "0    -73.986  \n",
       "1   -73.6534  \n",
       "2   -74.0122  \n",
       "3   -73.9129  \n",
       "4   -73.9268  \n",
       "\n",
       "[5 rows x 42 columns]"
      ]
     },
     "execution_count": 665,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# move # students column to the second column\n",
    "\n",
    "number_of_students = ny_grouped['# Students']\n",
    "ny_grouped.drop(['# Students'],axis = 1,inplace = True)\n",
    "\n",
    "ny_grouped.insert(1,'No._of_students',number_of_students)\n",
    "\n",
    "ny_grouped.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 689,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float64')"
      ]
     },
     "execution_count": 689,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Removing the , in the # students column and converting it to float.\n",
    "ny_grouped[['No._of_students']] = ny_grouped[['No._of_students']].replace(to_replace=',',value = '',regex = True)\n",
    "ny_grouped.head()\n",
    "\n",
    "ny_grouped['No._of_students'] = ny_grouped['No._of_students'].astype(str).astype(float)\n",
    "ny_grouped['No._of_students'].dtype\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Predictive modelling - Clustering"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Model 1 : Clustering based on Location, and Number of students enrolled."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 718,
   "metadata": {},
   "outputs": [],
   "source": [
    "sklearn.utils.check_random_state(1000)\n",
    "\n",
    "clus_dataset = ny_grouped[['No._of_students','Latitude','Longitude']]\n",
    "clus_dataset = StandardScaler().fit_transform(clus_dataset)\n",
    "\n",
    "km = KMeans(n_clusters = 4).fit(clus_dataset)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 796,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10.46228744188803"
      ]
     },
     "execution_count": 796,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "km.inertia_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 763,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1 0 3 1 1 3 1 3 3 2 1 0 2 0 1 2 0 1 0 0 0]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>College</th>\n",
       "      <th>Cluster label</th>\n",
       "      <th>No._of_students</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Bookstore</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Gym Pool</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Juice Bar</th>\n",
       "      <th>Karaoke Bar</th>\n",
       "      <th>Kebab Restaurant</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Paella Restaurant</th>\n",
       "      <th>Piano Bar</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>1</td>\n",
       "      <td>4624.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.6924</td>\n",
       "      <td>-73.986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>0</td>\n",
       "      <td>4247.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.3529</td>\n",
       "      <td>-73.6534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>3</td>\n",
       "      <td>26606.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.7172</td>\n",
       "      <td>-74.0122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>1</td>\n",
       "      <td>11506.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.8577</td>\n",
       "      <td>-73.9129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>1</td>\n",
       "      <td>6985.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.8181</td>\n",
       "      <td>-73.9268</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       College  Cluster label  \\\n",
       "0                                  ASA College              1   \n",
       "1                 Adirondack Community College              0   \n",
       "2  CUNY Borough of Manhattan Community College              3   \n",
       "3                 CUNY Bronx Community College              1   \n",
       "4                CUNY Hostos Community College              1   \n",
       "\n",
       "   No._of_students  American Restaurant  Asian Restaurant   Bar  \\\n",
       "0           4624.0             0.000000          0.083333  0.00   \n",
       "1           4247.0             1.000000          0.000000  0.00   \n",
       "2          26606.0             0.166667          0.000000  0.00   \n",
       "3          11506.0             0.000000          0.000000  0.00   \n",
       "4           6985.0             0.000000          0.000000  0.25   \n",
       "\n",
       "   Basketball Court  Bistro  Bookstore  Boxing Gym  Burger Joint  \\\n",
       "0          0.000000     0.0   0.000000         0.0      0.083333   \n",
       "1          0.000000     0.0   0.000000         0.0      0.000000   \n",
       "2          0.166667     0.0   0.166667         0.0      0.000000   \n",
       "3          0.000000     0.0   0.000000         0.0      0.000000   \n",
       "4          0.000000     0.0   0.000000         0.0      0.000000   \n",
       "\n",
       "   Chinese Restaurant  Coffee Shop  College Bookstore  College Gym  \\\n",
       "0            0.083333     0.000000                0.0          0.0   \n",
       "1            0.000000     0.000000                0.0          0.0   \n",
       "2            0.000000     0.166667                0.0          0.0   \n",
       "3            0.000000     0.000000                0.0          1.0   \n",
       "4            0.000000     0.000000                0.0          0.0   \n",
       "\n",
       "   Cuban Restaurant  Fast Food Restaurant  French Restaurant  \\\n",
       "0             0.000                  0.00           0.083333   \n",
       "1             0.000                  0.00           0.000000   \n",
       "2             0.000                  0.00           0.000000   \n",
       "3             0.000                  0.00           0.000000   \n",
       "4             0.125                  0.25           0.000000   \n",
       "\n",
       "   Greek Restaurant       Gym  Gym / Fitness Center  Gym Pool  \\\n",
       "0               0.0  0.166667                   0.0       0.0   \n",
       "1               0.0  0.000000                   0.0       0.0   \n",
       "2               0.0  0.000000                   0.0       0.0   \n",
       "3               0.0  0.000000                   0.0       0.0   \n",
       "4               0.0  0.000000                   0.0       0.0   \n",
       "\n",
       "   Italian Restaurant  Juice Bar  Karaoke Bar  Kebab Restaurant  \\\n",
       "0            0.083333   0.083333        0.000          0.083333   \n",
       "1            0.000000   0.000000        0.000          0.000000   \n",
       "2            0.166667   0.000000        0.000          0.000000   \n",
       "3            0.000000   0.000000        0.000          0.000000   \n",
       "4            0.000000   0.000000        0.125          0.000000   \n",
       "\n",
       "   Mexican Restaurant  Paella Restaurant  Piano Bar  Pizza Place  Playground  \\\n",
       "0                 0.0                0.0        0.0          0.0    0.000000   \n",
       "1                 0.0                0.0        0.0          0.0    0.000000   \n",
       "2                 0.0                0.0        0.0          0.0    0.166667   \n",
       "3                 0.0                0.0        0.0          0.0    0.000000   \n",
       "4                 0.0                0.0        0.0          0.0    0.000000   \n",
       "\n",
       "   Pool    Pub  Sandwich Place  Shanghai Restaurant  \\\n",
       "0   0.0  0.000        0.083333             0.083333   \n",
       "1   0.0  0.000        0.000000             0.000000   \n",
       "2   0.0  0.000        0.000000             0.000000   \n",
       "3   0.0  0.000        0.000000             0.000000   \n",
       "4   0.0  0.125        0.000000             0.000000   \n",
       "\n",
       "   Southern / Soul Food Restaurant  Spanish Restaurant  Supermarket  \\\n",
       "0                            0.000                 0.0          0.0   \n",
       "1                            0.000                 0.0          0.0   \n",
       "2                            0.000                 0.0          0.0   \n",
       "3                            0.000                 0.0          0.0   \n",
       "4                            0.125                 0.0          0.0   \n",
       "\n",
       "   Sushi Restaurant  Thai Restaurant  Wine Shop Latitude Longitude  \n",
       "0          0.083333              0.0        0.0  40.6924   -73.986  \n",
       "1          0.000000              0.0        0.0  43.3529  -73.6534  \n",
       "2          0.000000              0.0        0.0  40.7172  -74.0122  \n",
       "3          0.000000              0.0        0.0  40.8577  -73.9129  \n",
       "4          0.000000              0.0        0.0  40.8181  -73.9268  "
      ]
     },
     "execution_count": 763,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(km.labels_)\n",
    "\n",
    "ny_grouped1 = ny_grouped.copy()\n",
    "\n",
    "ny_grouped1.insert(1,'Cluster label',km.labels_)\n",
    "\n",
    "ny_grouped1.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining a function to plot the maps\n",
    "\n",
    "This function can be used to plot the map to show the kmeans clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 790,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_map(k,latitude,longitude,college,cluster_label):\n",
    "    maps = folium.Map(location = [40.7128, -74.0060],zoom_start = 6)\n",
    "\n",
    "    # set color scheme for the clusters\n",
    "    x = np.arange(k)\n",
    "    ys = [i + x + (i*x)**2 for i in range(k)]\n",
    "    colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "    rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "\n",
    "    for lat,lng,col,cluster in zip(latitude,longitude,college,cluster_label):\n",
    "        label = folium.Popup(col + ' Cluster ' + str(cluster), parse_html = True)\n",
    "        folium.CircleMarker(\n",
    "        [lat,lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color=rainbow[cluster-1],\n",
    "        fill=True,\n",
    "        fill_color=rainbow[cluster-1],\n",
    "        fill_opacity=0.7).add_to(maps)\n",
    "    \n",
    "    return maps\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 791,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_b9d4d74dd036439eaa03e4bdbc9cf102 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_b9d4d74dd036439eaa03e4bdbc9cf102" ></div>
        
</body>
<script>    
    
            var map_b9d4d74dd036439eaa03e4bdbc9cf102 = L.map(
                "map_b9d4d74dd036439eaa03e4bdbc9cf102",
                {
                    center: [40.7128, -74.006],
                    crs: L.CRS.EPSG3857,
                    zoom: 6,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_6ece7169bd294a319cb5e731c728db74 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
            var circle_marker_7bab55b1ce114403b8bf90735aeb0957 = L.circleMarker(
                [40.6924117, -73.98597075461413],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_2a2a1b1e44b8476aa846f63fb34018f6 = L.popup({"maxWidth": "100%"});

        
            var html_a8e2bf75cce64d9396eec52ac88de6df = $(`<div id="html_a8e2bf75cce64d9396eec52ac88de6df" style="width: 100.0%; height: 100.0%;">ASA College Cluster 1</div>`)[0];
            popup_2a2a1b1e44b8476aa846f63fb34018f6.setContent(html_a8e2bf75cce64d9396eec52ac88de6df);
        

        circle_marker_7bab55b1ce114403b8bf90735aeb0957.bindPopup(popup_2a2a1b1e44b8476aa846f63fb34018f6)
        ;

        
    
    
            var circle_marker_194948381a0744989e65517205b60d2d = L.circleMarker(
                [43.35293815, -73.65337333490109],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_d811cca60c12468b995e54371dad1504 = L.popup({"maxWidth": "100%"});

        
            var html_b056de12445e4375b60dedb7ae158600 = $(`<div id="html_b056de12445e4375b60dedb7ae158600" style="width: 100.0%; height: 100.0%;">Adirondack Community College Cluster 0</div>`)[0];
            popup_d811cca60c12468b995e54371dad1504.setContent(html_b056de12445e4375b60dedb7ae158600);
        

        circle_marker_194948381a0744989e65517205b60d2d.bindPopup(popup_d811cca60c12468b995e54371dad1504)
        ;

        
    
    
            var circle_marker_a6f287cb3c934a128b3c1652f2050725 = L.circleMarker(
                [40.7172487, -74.0121804],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_bf2e9a4207db420da0f5fe152308c74d = L.popup({"maxWidth": "100%"});

        
            var html_a81d8a1a884743ad99dbf97cf40ad28c = $(`<div id="html_a81d8a1a884743ad99dbf97cf40ad28c" style="width: 100.0%; height: 100.0%;">CUNY Borough of Manhattan Community College Cluster 3</div>`)[0];
            popup_bf2e9a4207db420da0f5fe152308c74d.setContent(html_a81d8a1a884743ad99dbf97cf40ad28c);
        

        circle_marker_a6f287cb3c934a128b3c1652f2050725.bindPopup(popup_bf2e9a4207db420da0f5fe152308c74d)
        ;

        
    
    
            var circle_marker_a97c8aabaaab4225abe7dd1dff6b6a45 = L.circleMarker(
                [40.857684649999996, -73.91289615614554],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_09791f34e3744d33bf6de4c7e113202f = L.popup({"maxWidth": "100%"});

        
            var html_e8b3044993c84c12a22ac0292dacace0 = $(`<div id="html_e8b3044993c84c12a22ac0292dacace0" style="width: 100.0%; height: 100.0%;">CUNY Bronx Community College Cluster 1</div>`)[0];
            popup_09791f34e3744d33bf6de4c7e113202f.setContent(html_e8b3044993c84c12a22ac0292dacace0);
        

        circle_marker_a97c8aabaaab4225abe7dd1dff6b6a45.bindPopup(popup_09791f34e3744d33bf6de4c7e113202f)
        ;

        
    
    
            var circle_marker_9fb4e294118d490d853b89c3494cd7ba = L.circleMarker(
                [40.8180719, -73.9268413875],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_46240706855143879b7c786813aeb957 = L.popup({"maxWidth": "100%"});

        
            var html_ce88225c9160429783f3bed6770e52a3 = $(`<div id="html_ce88225c9160429783f3bed6770e52a3" style="width: 100.0%; height: 100.0%;">CUNY Hostos Community College Cluster 1</div>`)[0];
            popup_46240706855143879b7c786813aeb957.setContent(html_ce88225c9160429783f3bed6770e52a3);
        

        circle_marker_9fb4e294118d490d853b89c3494cd7ba.bindPopup(popup_46240706855143879b7c786813aeb957)
        ;

        
    
    
            var circle_marker_46a1e7339d3444fbaf6c49e39fa20415 = L.circleMarker(
                [40.7463575, -73.9425968],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_610f86b0c725475791a5a076f6fb550f = L.popup({"maxWidth": "100%"});

        
            var html_74dd5e8f71d74c458193790a03b9bb1b = $(`<div id="html_74dd5e8f71d74c458193790a03b9bb1b" style="width: 100.0%; height: 100.0%;">CUNY LaGuardia Community College Cluster 3</div>`)[0];
            popup_610f86b0c725475791a5a076f6fb550f.setContent(html_74dd5e8f71d74c458193790a03b9bb1b);
        

        circle_marker_46a1e7339d3444fbaf6c49e39fa20415.bindPopup(popup_610f86b0c725475791a5a076f6fb550f)
        ;

        
    
    
            var circle_marker_ccb3bce5b58d4fe1bc9e203b726e2d91 = L.circleMarker(
                [40.6662941, -73.95836331384717],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_a4f4f358ac93475091a66cbbf34653a0 = L.popup({"maxWidth": "100%"});

        
            var html_b2973f5a60994ee2a26c8cf71da52f26 = $(`<div id="html_b2973f5a60994ee2a26c8cf71da52f26" style="width: 100.0%; height: 100.0%;">CUNY Medgar Evers College Cluster 1</div>`)[0];
            popup_a4f4f358ac93475091a66cbbf34653a0.setContent(html_b2973f5a60994ee2a26c8cf71da52f26);
        

        circle_marker_ccb3bce5b58d4fe1bc9e203b726e2d91.bindPopup(popup_a4f4f358ac93475091a66cbbf34653a0)
        ;

        
    
    
            var circle_marker_bc6ff565e1934d0aa0b850f11ed41da7 = L.circleMarker(
                [40.6952788, -73.9873073],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_953f292be7744ef38ae73b618782f5cd = L.popup({"maxWidth": "100%"});

        
            var html_e26a338c72874ba18d4a6377c81f540d = $(`<div id="html_e26a338c72874ba18d4a6377c81f540d" style="width: 100.0%; height: 100.0%;">CUNY New York City College of Technology Cluster 3</div>`)[0];
            popup_953f292be7744ef38ae73b618782f5cd.setContent(html_e26a338c72874ba18d4a6377c81f540d);
        

        circle_marker_bc6ff565e1934d0aa0b850f11ed41da7.bindPopup(popup_953f292be7744ef38ae73b618782f5cd)
        ;

        
    
    
            var circle_marker_a19a443d7b334c469933671d732adbea = L.circleMarker(
                [40.75602515, -73.7565401216789],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_616614f97d154cfa8452dda5a444eb27 = L.popup({"maxWidth": "100%"});

        
            var html_91fdd1b2037341ac9e6955723617b16a = $(`<div id="html_91fdd1b2037341ac9e6955723617b16a" style="width: 100.0%; height: 100.0%;">CUNY Queensborough Community College Cluster 3</div>`)[0];
            popup_616614f97d154cfa8452dda5a444eb27.setContent(html_91fdd1b2037341ac9e6955723617b16a);
        

        circle_marker_a19a443d7b334c469933671d732adbea.bindPopup(popup_616614f97d154cfa8452dda5a444eb27)
        ;

        
    
    
            var circle_marker_4d450c6ffcea48418933dc2a251f1864 = L.circleMarker(
                [42.881776599999995, -78.87262327214984],
                {"bubblingMouseEvents": true, "color": "#2adddd", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#2adddd", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_da182c451f7b4d338c36426a8941f293 = L.popup({"maxWidth": "100%"});

        
            var html_84ebe705e99a4dfd8b0440b1f6328d3f = $(`<div id="html_84ebe705e99a4dfd8b0440b1f6328d3f" style="width: 100.0%; height: 100.0%;">Erie Community College Cluster 2</div>`)[0];
            popup_da182c451f7b4d338c36426a8941f293.setContent(html_84ebe705e99a4dfd8b0440b1f6328d3f);
        

        circle_marker_4d450c6ffcea48418933dc2a251f1864.bindPopup(popup_da182c451f7b4d338c36426a8941f293)
        ;

        
    
    
            var circle_marker_c1295f3382254e9ba56ce6d845a7ffd0 = L.circleMarker(
                [40.746908653061226, -73.99427475510204],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_61ba35fbe7cf4b2086c3c48d009ecd0d = L.popup({"maxWidth": "100%"});

        
            var html_8397c32c62be440f832e385b569300bc = $(`<div id="html_8397c32c62be440f832e385b569300bc" style="width: 100.0%; height: 100.0%;">Fashion Institute of Technology Cluster 1</div>`)[0];
            popup_61ba35fbe7cf4b2086c3c48d009ecd0d.setContent(html_8397c32c62be440f832e385b569300bc);
        

        circle_marker_c1295f3382254e9ba56ce6d845a7ffd0.bindPopup(popup_61ba35fbe7cf4b2086c3c48d009ecd0d)
        ;

        
    
    
            var circle_marker_709e9389ec9f4b0a9ce3ff98713609a3 = L.circleMarker(
                [42.6964666, -73.6876308],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_691121293b244857b5e18e67b88627eb = L.popup({"maxWidth": "100%"});

        
            var html_df71873b04134554977cdde492241158 = $(`<div id="html_df71873b04134554977cdde492241158" style="width: 100.0%; height: 100.0%;">Hudson Valley Community College Cluster 0</div>`)[0];
            popup_691121293b244857b5e18e67b88627eb.setContent(html_df71873b04134554977cdde492241158);
        

        circle_marker_709e9389ec9f4b0a9ce3ff98713609a3.bindPopup(popup_691121293b244857b5e18e67b88627eb)
        ;

        
    
    
            var circle_marker_5308bc4ade5c4a5982001dca3655e70a = L.circleMarker(
                [42.113895521606025, -79.21725503718862],
                {"bubblingMouseEvents": true, "color": "#2adddd", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#2adddd", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_2633028a229b4a818503b45a99133d05 = L.popup({"maxWidth": "100%"});

        
            var html_d8c3e18da65a456abae92bceec262150 = $(`<div id="html_d8c3e18da65a456abae92bceec262150" style="width: 100.0%; height: 100.0%;">Jamestown Community College Cluster 2</div>`)[0];
            popup_2633028a229b4a818503b45a99133d05.setContent(html_d8c3e18da65a456abae92bceec262150);
        

        circle_marker_5308bc4ade5c4a5982001dca3655e70a.bindPopup(popup_2633028a229b4a818503b45a99133d05)
        ;

        
    
    
            var circle_marker_83170a5eb5f04df6bae302a7c78a758a = L.circleMarker(
                [43.076606, -75.21665985048875],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_e7e1fb68fdac4bcbbeb98f70373b3f4d = L.popup({"maxWidth": "100%"});

        
            var html_8e4f0758d2784f8283599207877381cc = $(`<div id="html_8e4f0758d2784f8283599207877381cc" style="width: 100.0%; height: 100.0%;">Mohawk Valley Community College Cluster 0</div>`)[0];
            popup_e7e1fb68fdac4bcbbeb98f70373b3f4d.setContent(html_8e4f0758d2784f8283599207877381cc);
        

        circle_marker_83170a5eb5f04df6bae302a7c78a758a.bindPopup(popup_e7e1fb68fdac4bcbbeb98f70373b3f4d)
        ;

        
    
    
            var circle_marker_06e48ca167ac42e5bf5fc469fd1f5c16 = L.circleMarker(
                [40.864011, -73.9003313],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_cbdba55fcdd546b59595cd7cdf5bf05a = L.popup({"maxWidth": "100%"});

        
            var html_84917319b38846698a33ea5643f31100 = $(`<div id="html_84917319b38846698a33ea5643f31100" style="width: 100.0%; height: 100.0%;">Monroe College Cluster 1</div>`)[0];
            popup_cbdba55fcdd546b59595cd7cdf5bf05a.setContent(html_84917319b38846698a33ea5643f31100);
        

        circle_marker_06e48ca167ac42e5bf5fc469fd1f5c16.bindPopup(popup_cbdba55fcdd546b59595cd7cdf5bf05a)
        ;

        
    
    
            var circle_marker_5d693ce1cd9545768781eedaf7f2d6fe = L.circleMarker(
                [43.14722585, -78.87737447655854],
                {"bubblingMouseEvents": true, "color": "#2adddd", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#2adddd", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_34e66bff97984e7bab097769433236ae = L.popup({"maxWidth": "100%"});

        
            var html_49996f834fa04d98bd6133080f4603e6 = $(`<div id="html_49996f834fa04d98bd6133080f4603e6" style="width: 100.0%; height: 100.0%;">Niagara County Community College Cluster 2</div>`)[0];
            popup_34e66bff97984e7bab097769433236ae.setContent(html_49996f834fa04d98bd6133080f4603e6);
        

        circle_marker_5d693ce1cd9545768781eedaf7f2d6fe.bindPopup(popup_34e66bff97984e7bab097769433236ae)
        ;

        
    
    
            var circle_marker_4937d490d13647589ee2ae01fb105a0b = L.circleMarker(
                [43.00564765, -76.19734280374506],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_f4cc2c5c01194cddb6399907242d42a4 = L.popup({"maxWidth": "100%"});

        
            var html_e57e7277b47a40d68b0d070d7a2f26d9 = $(`<div id="html_e57e7277b47a40d68b0d070d7a2f26d9" style="width: 100.0%; height: 100.0%;">Onondaga Community College Cluster 0</div>`)[0];
            popup_f4cc2c5c01194cddb6399907242d42a4.setContent(html_e57e7277b47a40d68b0d070d7a2f26d9);
        

        circle_marker_4937d490d13647589ee2ae01fb105a0b.bindPopup(popup_f4cc2c5c01194cddb6399907242d42a4)
        ;

        
    
    
            var circle_marker_0e4b32de74464f63bfe9efb65adc8a60 = L.circleMarker(
                [41.4386372, -74.42600776186225],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_eef51d199d654ddb8e350db7ba48bba7 = L.popup({"maxWidth": "100%"});

        
            var html_cbdb091aa1b24e1f8df680395c464456 = $(`<div id="html_cbdb091aa1b24e1f8df680395c464456" style="width: 100.0%; height: 100.0%;">Orange County Community College Cluster 1</div>`)[0];
            popup_eef51d199d654ddb8e350db7ba48bba7.setContent(html_cbdb091aa1b24e1f8df680395c464456);
        

        circle_marker_0e4b32de74464f63bfe9efb65adc8a60.bindPopup(popup_eef51d199d654ddb8e350db7ba48bba7)
        ;

        
    
    
            var circle_marker_4c3067b9ab0444d69a9eeb00db2003b3 = L.circleMarker(
                [42.1377063338942, -75.90504550530397],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_ed75699eaa174967bae17c4174df7ac1 = L.popup({"maxWidth": "100%"});

        
            var html_7624d34b4bf549a58b881115155b4a0e = $(`<div id="html_7624d34b4bf549a58b881115155b4a0e" style="width: 100.0%; height: 100.0%;">SUNY Broome Community College Cluster 0</div>`)[0];
            popup_ed75699eaa174967bae17c4174df7ac1.setContent(html_7624d34b4bf549a58b881115155b4a0e);
        

        circle_marker_4c3067b9ab0444d69a9eeb00db2003b3.bindPopup(popup_ed75699eaa174967bae17c4174df7ac1)
        ;

        
    
    
            var circle_marker_581fee3aba664c2fa3dd8af8186e3d53 = L.circleMarker(
                [42.81576851724138, -73.94937124137931],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_1cc63c85acc0433086e467f38cd2bb49 = L.popup({"maxWidth": "100%"});

        
            var html_4ad1b960f2784fa386662b9abb7de456 = $(`<div id="html_4ad1b960f2784fa386662b9abb7de456" style="width: 100.0%; height: 100.0%;">Schenectady County Community College Cluster 0</div>`)[0];
            popup_1cc63c85acc0433086e467f38cd2bb49.setContent(html_4ad1b960f2784fa386662b9abb7de456);
        

        circle_marker_581fee3aba664c2fa3dd8af8186e3d53.bindPopup(popup_1cc63c85acc0433086e467f38cd2bb49)
        ;

        
    
    
            var circle_marker_aab20effffd44a45883a6ae4161d6457 = L.circleMarker(
                [42.50143525925926, -76.29813185185185],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_b9d4d74dd036439eaa03e4bdbc9cf102);
        
    
        var popup_187d6b15dad5460f9d80db7cc4ada2a7 = L.popup({"maxWidth": "100%"});

        
            var html_d6f3b12c41fc4319b79248707d08656e = $(`<div id="html_d6f3b12c41fc4319b79248707d08656e" style="width: 100.0%; height: 100.0%;">Tompkins Cortland Community College Cluster 0</div>`)[0];
            popup_187d6b15dad5460f9d80db7cc4ada2a7.setContent(html_d6f3b12c41fc4319b79248707d08656e);
        

        circle_marker_aab20effffd44a45883a6ae4161d6457.bindPopup(popup_187d6b15dad5460f9d80db7cc4ada2a7)
        ;

        
    
</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 0x202275929b0>"
      ]
     },
     "execution_count": 791,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_map(4,ny_grouped1['Latitude'],ny_grouped1['Longitude'],ny_grouped1['College'],ny_grouped1['Cluster label'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Model 2: Kmeans using all the features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "clus_dataset_1 = ny_grouped.iloc[ :,3:44]\n",
    "clus_dataset1 = StandardScaler().fit_transform(clus_dataset1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### KMeans for different values of k"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 823,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[860.9999999999998,\n",
       " 752.6504177131542,\n",
       " 643.5848679246365,\n",
       " 562.1238981260898,\n",
       " 482.5270861197,\n",
       " 401.754733408781,\n",
       " 357.83683007024393,\n",
       " 298.1271829997829,\n",
       " 257.49234118021013]"
      ]
     },
     "execution_count": 823,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wcss = []\n",
    "for k in range(1,10):\n",
    "    km1 = KMeans(n_clusters = k,random_state = 0,init = 'k-means++',)\n",
    "    km1.fit(clus_dataset1)\n",
    "    wcss.append(km1.inertia_)\n",
    "wcss"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Elbow plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 881,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'ELBOW PLOT')"
      ]
     },
     "execution_count": 881,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEgCAYAAACq+TSYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nO3dd3wVZdr/8c+VRu8EJAFEAVGKtIiAioiK2ABZQXRtq7uIne3uPvtbV9dd9fFZsRcUFXUFBAvgooiKgtI2VAGRqhCCEHoPBK7fH2eiMYYUUuYkfN+v13mdc2bmzFw5Yr6Ze+65b3N3REREjiYm7AJERCS6KShERCRfCgoREcmXgkJERPKloBARkXwpKEREJF8KChERyZeCQsqUmXkhHj1zbH9jsOyVQuy751H2t8/MlprZQ2ZWN5/PVzWzX5vZdDPbYmaZZrbRzCaZ2UAzs1zbx5rZdjM7ZGY18thfoxw13HiUY04P1p9TiJ/vlTx+tr1mtiT42eocZfs8j11C38Gnhfxvmv14pbC1SPSIC7sAOW7dl8+6b4q572+BV4LXBtQH+gB/BK4ws87uvifnB8ysDTAJOCn4/FvAVqApcClwGTDVzAa5+w4Adz9sZp8B/YAewH9y1XF+8OzB61dyrjSzqsCZwF5gThF+vgnAwuD1CcDlwc92pZl1cfdtRdhXznqK/B0EP9OnuXbVH2ifq85sud9LeeDueuhRZg8ivzS9CNvfGHzmlUJs2zPY9tM81iUAqcH6G3OtOwFID9b9E4jLtb4u8EGw/kMgJse6u4Ll/8rjmC8B+4D3gA15rO8dfPb9Qn4Xrxyl/urA0mDdvQVtf5R9H/N3UNg69Si/DzU9yXHB3Q8CnwVvE3OtfgBoBIxx9z+7e1auz24DfgasAS4Ers6x+uPguVceh+0FfAFMAZLMrFUe63Pu45h45OxoVPC2yzHupjjfgVRwCgo5LphZPHBu8DY1x/IqwLXB2/uP9nl33wv8K3g7JMfypcAmoL2Z1cux3+bAicAnwLRgcXZTFLneFysosg+ZXVKRP1jM70AqPl2jkFCY2d+OsuqAuz9UzN03y7F/A+oBFxFpa3/I3afl2DYFqASku/tXBex3avDc1cxi3f1w8P4TIn9hnweMD5Zlny1MI9IslBEsewbAzGoBHYlcAyhWu72ZVQduCN4W5VpHtpL4DqQCU1BIWO49yvKdQHGD4sSj7P8DIhdYc2oUPK8vxH6zt0kgEj6bg/fZQdGLHwfFbiDV3d3MPgV6mZm5uxO5nhILTAveF0V/M2sWvG4I9AWSgNXAU0XcF5TMdyAVmJqeJBTubkd51C6B3X+Wc59Eej31BU4FppvZJTm2PdYmm5zb53Wd4jxgRo62/mlEfrG2z7XtR0U8LkR6Wd0bPG4gEq6PAF3cffsx7K8kvgOpwHRGIRWeu28FJpnZfiJNJ8OBycHqjcFz00LsqknwfBD4vguqu681s7VAKzNLBuoQ+Uv/kxyf/TR4Pp9IU1Nxrk/8wt1fOYbPHU2xvwOp2HRGIceT7Pb7U4JrBAD/BTKJ9Eo6rYDPXxA8z86jbT47FHrx4+sTAARt/98RaX5qALQB1rn7qqL/GCWupL4DqaAUFHI8yXnncgyAu+8H3giW/eVoHwx6Bv0meDsij01yNj/1Arbz04vUnwLnELmwnvMzoSrB70AqKAWFHE+yf8ktztWW/xciXVyvMbO/m9mPmmSDoTHGAy2IXFMYnce+s88oLiDSDfczdz+Sa5tpQA3g98H7qAiKQEl8B1JB6RqFhCKf7rEA77p77r/Gz85nnKD57v5EjvfNcu2/LtAd6AzsB+7I+WF3Tzez3sBEIr8wrzWzD4i0wWcPX1GHyC/IgXkEAO6+ycyWEmlSgh9fn8iW3RTVLp9tSsMvc46flcsb7v5hSXwHUnEpKCQsR+seC5GxnnIHRfPgkZfaQM6gyN099iCwARgJPOLuX+fegbsvDsY6ugUYAFxFZGiMbcBM4FVgXAFdWT/mh6CYlnulu680sw1AMrDM3Tfm3qaUnBU88rKQyJAcJfUdSAVk+m8uIiL50TUKERHJl4JCRETypaAQEZF8KShERCRfFa7XU/369b1Zs2ZhlyEiUq7Mmzdvi7vnnqsFqIBB0axZM1JTUwveUEREvmdm3x5tnZqeREQkXwoKERHJl4JCRETypaAQEZF8KShERCRfCgoREcmXgkJERPKloAh8s2UvD3+wnMNHNJquiEhOCorAh8u+49lPVzNs7EIOHdacLCIi2SrcndnHakiP5hw+Ag9/sJw9Bw7xzM87UyUhNuyyRERCpzOKHG7t2Zx/XtGOT1dkcMNLc9l14FDYJYmIhE5Bkcs1ZzblicEdmb9uO1ePmM3WPZlhlyQiEioFRR4ub5/ECzeksDpjDwOfn8WGHfvDLklEJDQKiqM4r1UDXr3pTDJ2ZTLw2ZmsydgTdkkiIqFQUOSjy0l1GT2kK5lZRxj43CyWbNgZdkkiImVOQVGAtsm1GDe0G5XiYrh6xGzmrt0WdkkiImVKQVEIJydWZ/yt3UmsWYnrX5rDtOWbwy5JRKTMKCgKKal2Fd68pRvNE6vzq1dTmbQoPeySRETKhIKiCOpXr8ToIV3p1LQOd41ZwBtz1oVdkohIqVNQFFHNyvGMuqkLPU9J5M/vfMmzn64OuyQRkVKloDgGVRJief66FC5vn8TDHyznofeX467BBEWkYtJYT8coIS6Gx67qQM3KcTz32Wp27j/EA/3bEhtjYZcmIlKiFBTFEBtjPNC/LbWqxPPMp6vZfeAQjw7qQEKcTtREpOJQUBSTmfGHPqdSq0o8D76/nD2ZWTyrkWdFpALRn74l5JZzm/PggHZ8tiKD60bOYed+jTwrIhVDmQeFmf3azJaa2RIzG21mlc3sJDObY2YrzWysmSUE21YK3q8K1jcr63qL4uouTXny6o4sStvB1SNmk7FbI8+KSPlXpkFhZsnAXUCKu7cFYoHBwMPAcHdvCWwHbg4+cjOw3d1bAMOD7aLaZacn8cL1KazZsodBGnlWRCqAMJqe4oAqZhYHVAU2Ar2A8cH6UUD/4HW/4D3B+vPNLOq7FfVs1YDXbz6TLXsyufLZmazarJFnRaT8KtOgcPcNwP8B64gExE5gHrDD3bOCzdKA5OB1MrA++GxWsH293Ps1syFmlmpmqRkZGaX7QxRSSrO6jBnSlUOHjzDoeY08KyLlV1k3PdUhcpZwEpAEVAMuzmPT7LvX8jp7+Mmdbe4+wt1T3D0lMTGxpMottjZJtXjzlm5UiY/l6hGzmbNma9gliYgUWVk3PV0ArHX3DHc/BLwNdAdqB01RAI2B7BH30oAmAMH6WkC5Guf75MTqjBvajQY1K3H9S3P5ZPmmsEsSESmSsg6KdUBXM6saXGs4H1gGTAOuDLa5AZgQvJ4YvCdY/4mXw7EyskeebdmwOkNenceEhRvCLklEpNDK+hrFHCIXpecDXwbHHwH8EfiNma0icg1iZPCRkUC9YPlvgHvKst6SVK96JUb/qiudTqzDsLELeW32t2GXJCJSKFYO/0DPV0pKiqempoZdxlEdOHSY2/49n0+Wb+b3F7Xitp7NKQcduUSkgjOzee6ektc63ZldxirHx/L8dZ3p1yGJR6Z8rZFnRSTqaaynEMTHxjB8UAdqVo7n+elr2Ln/EP+4op1GnhWRqKSgCElMjHF/vzbUrBLH09NWs/tAFsOv0sizIhJ9FBQhMjN+f1Fk5Nl/Tl7O7swsnru2E1UT9J9FRKKH/nyNAkN6NOfhn7Xj85UZXDdyrkaeFZGooqCIEled0ZSnrunE4rQdDNbIsyISRRQUUeSSdo148YYz+GbLXgY+N5O07fvCLklEREERbc49JZHXf9mFrXsPcuWzs1i1eXfYJYnIcU5BEYU6n1iXsUO6kXXEGfjcLBan7Qi7JBE5jikoolTrpJqMG9qNqglxXPPCHGZr5FkRCYmCIoqdVL8a42/tRsOalbhBI8+KSEgUFFGuUa0fjzw7aVF6wR8SESlBCopyoF71Srzxq650alqHu8YsYPTcdWGXJCLHEQVFOVGzcjyjbupCj5aJ/OntLxkxfXXYJYnIcUJBUY5USYjlhetTuLRdI/45eTn/N+VrjTwrIqVOgwqVMwlxMTxxdUeqV4rjqWmr2H3gEPde3oYYjTwrIqVEQVEOxcYYD/2sHTUqx/Hi52vZfSCL/73ydOJidYIoIiVPQVFOmRn/c+lp1KwSz6NTV7AnM4snr+lIpbjYsEsTkQpGf4KWY2bGXee35N7LW/Phsk3c/EoqezOzwi5LRCoYBUUF8IuzTuKRK09n5uotXDtyDjv3aZhyESk5CooKYmBKE575eSeWbNjJVSNmaZhyESkxCooKpE/bRoy84Qy+3bqPQc/P0jDlIlIiFBQVTI9TEnnt5i5s2ZPJoOdmsTpjT9gliUg5p6CogFKa1WXMkK5kZh1h0HOzWJq+M+ySRKQcK9OgMLNWZrYwx2OXmQ0zs7pmNtXMVgbPdYLtzcyeMLNVZrbYzDqVZb3lWZukWrw5tBuV4mIYPGI2qd9sC7skESmnyjQo3P1rd+/g7h2AzsA+4B3gHuBjd28JfBy8B7gYaBk8hgDPlmW95V3zxOqMu7U79atX4rqRc5m+IiPskkSkHAqz6el8YLW7fwv0A0YFy0cB/YPX/YBXPWI2UNvMGpV9qeVXcu3IMOUn1qvKL0el8sGSjWGXJCLlTJhBMRgYHbxu6O4bAYLnBsHyZGB9js+kBct+xMyGmFmqmaVmZOiv5twSa1Ri7JButE2uyW3/ns+41PUFf0hEJBBKUJhZAtAXGFfQpnks+8lwqe4+wt1T3D0lMTGxJEqscGpVjee1m8+ke/P6/H78Yl7+Ym3YJYlIORHWGcXFwHx3z57bc1N2k1LwvDlYngY0yfG5xoCmeDtG1SrF8eINKfRu3ZD7Ji3jiY9XaphyESlQWEFxNT80OwFMBG4IXt8ATMix/Pqg91NXYGd2E5Ucm8rxsTzz804M6JTMo1NX8I//fKWwEJF8lfnosWZWFbgQuCXH4oeAN83sZmAdMDBYPhm4BFhFpIfUL8qw1AorLjaG/7uyPTUq/TBM+T8HtCNWc1qISB7KPCjcfR9QL9eyrUR6QeXe1oHby6i040pMjPG3vm2oWSWeJz9ZxZ7MLIZf1YGEON2DKSI/pvkojmNmxm97t6JG5Tj+OXk5ezKzeO7azlRJ0JwWIvID/fkoDOnRnAcHtGP6ygxueGkuuw5omHIR+YGCQgC4uktTnhjckfnrtnPNC7PZukfDlItIhIJCvnd5+yReuD6FlZv2MOj5WXy380DYJYlIFFBQyI+cd2oDRt3UhU27MrnyuZl8s2Vv2CWJSMgUFPITXU+uxxu/OpO9mVkMfH4Wy7/bFXZJIhIiBYXk6fTGtXnzlm4YcNXzs1m4fkfYJYlISBQUclQtG9Zg/NDu1KoSz89fmM3M1VvCLklEQqCgkHw1rVeVcUO7kVynCje+/F+mLttU8IdEpEJRUEiBGtaszNgh3Tj1hBoMfX0eExZuCLskESlDCgoplDrVEvj3L88k5cQ6DBu7kNdmfxt2SSJSRhQUUmg1Kscz6qYu9GrVgP/37hKenrZKI8+KHAcUFFIkleNjee66zlzePolHpnzNLa/NY9veg2GXJSKlSEEhRRYfG8PjV3Xgz5ecyrSvN3PRY9OZ9vXmgj8oIuWSgkKOSUyMMaRHcybcfjZ1qsbzi5f/y18nLGH/wcNhlyYiJUxBIcXSOqkmE+84m5vOOolXZ33LZU/OYMmGnWGXJSIlSEEhxVY5Ppa/Xt6a128+kz2ZWfR/+guenraKw0d0oVukIlBQSIk5u2V9pgzrwUVtTuCRKV8zeMQs1m/bF3ZZIlJMCgopUbWrJvDUNR15dFB7vtq4m4sfn8H4eWnqRitSjikopMSZGQM6Neb9u8+hdaOa/G7cIm5/Yz7b1Y1WpFxSUEipaVK3KqOHdOUPfVoxddkmLnpsOtNXZIRdlogU0TEHhZldbma/N7PrzaxGSRYlFUdsjHFbzxa8c9tZ1KwSz/UvzeVvE5dy4JC60YqUF/kGhZn90cxm5FoWb2bTgXeBh4FXgCVmllRqVUq51za5Fu/deTY3dm/GKzO/4fInP2dpurrRipQHBZ1RXAF8kWvZXcDZwANATSAFOAz8T4lXJxVK5fhY/ta3DaNu6sKO/Yfo//QXPPfZanWjFYlyBQVFc2B2rmWDgbXufq+773H3+cBDwIWFOaCZ1Taz8Wa23My+MrNuZlbXzKaa2crguU6wrZnZE2a2yswWm1mnov6AEn3OPSWRKcN6cP6pDXno/eVc88Js0rarG61ItCooKKoC38+BaWbVgY7AR7m2Ww4kF/KYjwMfuPupQHvgK+Ae4GN3bwl8HLwHuBhoGTyGAM8W8hgS5epWS+DZazvxyJWns2TDTi5+bAbvLtigbrQiUaigoFgDdMnx/kLAiPwyz6kWsKugg5lZTaAHMBLA3Q+6+w6gHzAq2GwU0D943Q941SNmA7XNrFFBx5HywcwYmNKE9+/uQasTajBs7ELuHL2AnfsOhV2aiORQUFC8DPzFzH5jZj8HHgEygP/k2u484OtCHO/k4PMvm9kCM3vRzKoBDd19I0Dw3CDYPhlYn+PzaeRx5mJmQ8ws1cxSMzLU/bK8aVqvKmNv6cbvL2rFB0u+o8/j05m5SvNzi0SLgoLiCWA08CDwGhAPXO3ue7M3MLNawA3A5EIcLw7oBDzr7h2BvfzQzJQXy2PZT9om3H2Eu6e4e0piYmIhypBoExtj3H5eC96+rTtVEmK55sU5PPDeMnWjFYkC+QaFu2e5+y1AbaCBu5/o7tNybbYXOAUYXojjpQFp7j4neD+eSHBsym5SCp4359i+SY7PNwbSC3EcKadOb1yb/9x5Dtd1PZEXP19L/6e/YPl3BbZqikgpKtQNd+6+393zbAsIwmSruxfYsOzu3wHrzaxVsOh8YBkwkchZCcHzhOD1ROD6oPdTV2BndhOVVFxVEmL5e/+2vHzjGWzZc5C+T37BizPWcETdaEVCUdANd63NbHAeyy82s3lmttfM1pjZsCIc807g32a2GOgA/JOge62ZrSRywfyhYNvJRC6orwJeAG4rwnGknDvv1AZMGXYO57ZK5IH/fMW1I+eQvmN/2GWJHHcsv+6IZjYaqOfuvXMs6wzMAjYC44g0O10KDHb3caVbbsFSUlI8NTU17DKkBLk7b6au575Jy4iLMR64oh1922sgAJGSZGbz3D0lr3UFNT2dSSQMcrqbyJ3Y57j779y9L5HeUXcXu1KRPJgZV53RlMl3nUPzBtW5a/QCho1ZwM796kYrUhYKCooTgJW5ll0CfObu63Ise4vImYVIqWlWvxrjbunGry84hUmLN3LxY9OZtXpr2GWJVHgFBcUOoE72GzM7DagLTM+13V4id3GLlKq42BjuvqAl44d2IyEuhmtenM2D739FZpa60YqUloKCYg5wu5nFBe9vIXIfw8Rc250GbCjh2kSOqmPTOvznrnMYfEZTnv9sDf2fnsmKTbvDLkukQiooKP4fkesUG4MeSXcBb7r7klzbXQN8Xgr1iRxVtUpxPDigHS9en8LmXQe47MnPeenztepGK1LCCrrhbgmRQQBHAFOAXwLX5tzGzBKBRcDzpVSjSL4uaN2QD4b14JwW9bn/vWXc8PJcNu5UN1qRkpJv99jySN1jj1/uzhtz1/HAe18RH2vc368t/TokYZbXSDAiktMxd481s2pm9i8zOy+fbc4LttF0qBIqM+PnZ57I+3efQ8uGkdFob/v3fLbtPRh2aSLlWkHXKG4lMuR37lnucpoJ9EX3UUiUaFa/Gm/e0o0/9jmVj7/aTO/h0/lo2aawyxIptwoKihuAp9z9qH+SuXsm8DQwsCQLEymO2Bjj1p7NmXDHWdSvnsAvX03lD+MXsfuAbtITKaqCgqIFsKAQ+1lIZBY6kahyWqOaTLzjbG4/rznj56XR57EZuklPpIgKCoqDQEIh9pMAZBW/HJGSlxAXw+8vOpVxQ7uTEBfD1S/M5v5JmutCpLAKCoolwAWF2M+FwbYiUavziXX4z11nc323E3npi7Vc+sQMFq3fUfAHRY5zhZkK9Y4Cej31JDL894slWJdIqaiaEMf9/dry+s1nsu/gYQY8O5NHp67g0OEjYZcmErUKGmbcgDeBK4C3idx0t47IMB5NgYuAAcDb7n5VqVdbCLqPQgpr5/5D3DdxKW8v2EDb5JoMH9SBlg3Vy1uOT/ndR1HgDXdBWNwBDANOyrV6DfAY8LRHyZ17Cgopqg+WbOTP7yxhT2YWv+/dipvOPonYGN2kJ8eXYw6KYPrRednTnJpZYyA5WL3B3dNKutjiUlDIscjYncmf3/mSqcs20eWkuvxrYHua1NWAyHL8KM7ERTOBnWY23cweJDJ16Sp3nxONISFyrBJrVGLEdZ155MrT+Sp9F30em86YueuIkhNlkVAVFBR9iMxfvQ8YSmR48c1mttzMRprZTWZ2amkXKVIWzIyBKU344Nc9aN+kNve8/SU3j0pl864DYZcmEqpCDwoYXKtoA5wFdAO6E7khz4HtwMxgWtRQqelJSsKRI86rs77hwfeXUyUhlgf6t+Wy0zVPt1RcxbqYnc9ODTgX+B1wMYC7xx5rkSVFQSEladXmPfx23CIWrd/B5e2T+Hu/NtSuWph7UEXKl+Jco8i5k2pm1svM/mJmk4GtwFSgCfACcFOJVCsSRVo0qM5bQ7vx2wtP4f0vN9J7+HSmfb057LJEylRBvZ6uIdLE1B04ncgc2rODxyxgjrvvKYM6C01nFFJalmzYyW/eXMiKTXu45sym/M8lp1GtUlzBHxQpB4rTPfYIsBd4FXjG3ZeWQDHfALuBw0CWu6eYWV1gLNAM+AYY5O7bg+atx4FLiFxQv9Hd5+e3fwWFlKYDhw4zfOoKRsxYQ5M6VfnXoPac0axu2GWJFFtxmp4eITJ67I3A3KCb7MNm1t/MGhajpvPcvUOOou4BPnb3lsDHwXuIXPtoGTyGAM8W45gixVY5PpY/XXIaY4d0w3EGPT+LByd/pQEGpUIraM7sP7p7D6AW0BMYD5wIPAFsNLPVZva6md1uZp2KUUc/YFTwehSRyZKyl7/qEbOB2mbWqBjHESkRXU6qy/t392DwGU15fvoa+j71OUs27Ay7LJFSUaiL2e6e5e7/dfcn3H2wuzclchH7HqA2keahuYU8pgMfmtk8MxsSLGvo7huDY20EGgTLk4H1OT6bxg93hn/PzIaYWaqZpWZkZBSyDJHiqV4pjgcHtOPlX5zBjn2H6P/0Fzz58UqyNMCgVDBFuhJnZpWAM/jhAnc3IDFYva6QuznL3dPNrAEw1cyW53fIPJb95KKKu48ARkDkGkUh6xApEee1asCHv+7BXycs5V9TV/DR8s08Oqg9zROrh12aSInI94zCzJLM7Eoze9TMZgM7genAA0ASMBq4Cmjs7s0Kc0B3Tw+eNwPvAF2ATdlNSsFzdv/DNCJnLtkaA+mF+9FEyk7tqgk8cXVHnrqmI99u3culT8zg5S/WcuSI/m6R8q+gpqc0Ir2RrgcygPuA84Ba7t7F3Ye5+7jsX/4FCe7FqJH9GuhNZMKjiUTm5yZ4nhC8nghcbxFdgZ3ZTVQi0eiy05P4cFgPup1cj/smLePakXPYsGN/2GWJFEtB3WNvIjI0R37NQ4U/mNnJRM4iINLs9Ya7/8PM6hGZ96IpkSasge6+Lege+xSRMaf2Ab9w93z7vqp7rEQDd2fMf9fzwHvLiDHj3r5t+FmnZCL/pEWiT6kM4RGtFBQSTdZv28dvxy1i7tptXNi6IQ8OaEf96pXCLkvkJ0pkCA8RKbomdasy5ldd+culp/HZigz6PDadqcs2hV2WSJEoKERKWUyM8ctzTmbSHWeTWKMyv3o1lXveWsyezKywSxMpFAWFSBlpdUIN3r29O7f2bM7Y1PVc8vgM5n27LeyyRAqkoBApQ5XiYvljn1MZO6QbR9wZ+NwsHpmynINZuklPopeCQiQEkSFAzuHKzo15etpqrnjmC1Zu2h12WSJ5UlCIhKRG5Xj+98r2PH9dZzbuPMBlT36um/QkKikoREJ2UZsTmDKsB2e3qM99k5Zx/Utz2bhTN+lJ9FBQiESBxBqVePGGFB4c0I7567Zz0fDpTFyk0WokOigoRKKEmXF1l6ZMvuscmjeozl2jF3DX6AXs3Hco7NLkOKegEIkyzepXY9wt3fhd71OY/OVGLnpsOp+v3BJ2WXIcU1CIRKG42Bju6NWSd247i2qVYrl25Bzum7RUM+lJKBQUIlGsXeNavHfnOdzYvRkvf/ENlz2pmfSk7CkoRKJclYRY/ta3Da/e1IXdByIz6T09bZVm0pMyo6AQKSd6nJLIlGE96NP2BB6Z8jVXjZjNt1v3hl2WHAcUFCLlSO2qCTx1TSceH9yBFZt2c/HjMxgzdx0VbboAiS4KCpFyqF+HZKYM60GHJrW55+0v+dWrqWTszgy7LKmgFBQi5VRS7Sq8fvOZ/L/LWjN95RbNdSGlRkEhUo7FxBg3n30S7915Ng1rRua6+ON4zXUhJUtBIVIBnNKwBu/efha39WzOuHmRuS5Sv9FcF1IyFBQiFURCXAx/6HMqY2/phuMMel5zXUjJUFCIVDBnNKvL+3f3YGDnJprrQkqEgkKkAqpeKY6HrzydEdd15rudB7j0yc8Z+bnmupBjo6AQqcB6tzmBD4b1oEfL+vz9vWVcO3IO6Ts014UUjYJCpIJLrFGJF65P4aEB7Vi4fgcXPTadCQs3hF2WlCOhBIWZxZrZAjN7L3h/kpnNMbOVZjbWzBKC5ZWC96uC9c3CqFekvDMzBndpyvt3n0PLBtW5e8xC7hy9gB37DoZdmpQDYZ1R3A18leP9w8Bwd28JbAduDpbfDGx39xbA8GA7ETlGJ9arxpu3dOP3F7Xi/S830uexGcxYmRF2WRLlyjwozKwxcCnwYvDegF7A+GCTUUD/4HW/4D3B+vOD7UXkGMXFxnD7eS149/azqF45jutGzuVnz85kzNx17D6g2fTkp8I4o3gM+AOQ3b2ePBoAABC0SURBVLm7HrDD3bNvJU0DkoPXycB6gGD9zmD7HzGzIWaWamapGRn660ikMNom1+K9O8/mTxefyo59B7nn7S854x8f8ZuxC5m5aot6SMn34sryYGZ2GbDZ3eeZWc/sxXls6oVY98MC9xHACICUlBT96xYppMrxsdxybnOG9DiZhet3MG5eGpMWpvP2gg00rlOFn3VqzJWdG9OkbtWwS5UQlWlQAGcBfc3sEqAyUJPIGUZtM4sLzhoaA+nB9mlAEyDNzOKAWoDGJRApYWZGx6Z16Ni0Dn+9rDVTln7H+HlpPPHJSh7/eCVdT67LwM5NuLjdCVRNKOtfGxI2C2sc++CM4nfufpmZjQPecvcxZvYcsNjdnzGz24F27j7UzAYDA9x9UH77TUlJ8dTU1NL/AUSOAxt27OfteWmMn5/Gt1v3Ub1SHJe2a8SVKY1JObEOumRYcZjZPHdPyXNdlATFycAYoC6wALjW3TPNrDLwGtCRyJnEYHdfk99+FRQiJc/dmbt2G+PnpfGfLzey7+BhTqpfjSs7N2ZAp2Qa1aoSdolSTFEZFKVFQSFSuvZmZjH5y42Mm5fG3LXbiDE4u2UiAzs35sLWDakcHxt2iXIMFBQiUiq+3bqXt+al8db8DWzYsZ+alePo2yGJgZ2bcHrjWmqaKkcUFCJSqo4ccWau3sr4eet5f8l3ZGYd4ZSG1RnYuQn9OyaTWKNS2CVKARQUIlJmdh04xHuLNjJu3noWrNtBbIxxXqtEruzchF6nNiAhTkPMRSMFhYiEYtXm3Yyft4G356exeXcmdasl0C9ommqdVDPs8iQHBYWIhCrr8BFmrNzCuHnr+WjZZg4ePkKbpJoM7NyYfh2SqVMtIewSj3sKChGJGtv3HmTionTGzVvPkg27iI81LjitIQNTGtOjZSJxsWqaCoOCQkSi0lcbdzF+XhrvLtjA1r0HaVCjEld0SmZg58a0aFAj7PKOKwoKEYlqB7OOMO3rzYxLTWPa15s5fMTp0KQ2Q89tzkVtGqqbbRlQUIhIuZGxO5MJCzfw7znrWLtlL+2Sa/GbC0+hZ6tEBUYpUlCISLmTdfgI7y5M5/GPV7B+2346Na3N73q3onuL+mGXViEpKESk3Dp0+AjjUtN48pOVbNx5gK4n1+W3vVtxRrO6YZdWoSgoRKTcO3DoMGPmruOpaavZsieTHqck8tsLT6F9k9phl1YhKChEpMLYf/Awr83+hmc/Xc32fYe4sHVDfnPhKZzWSDfwFYeCQkQqnD2ZWbz8+VpGzFjD7gNZXHp6I359QUt1qz1GCgoRqbB27jvEi5+v4aXP17L/0GH6d0jm7gtacmK9amGXVq4oKESkwtu29yDPf7aaUbO+4dBhZ1BKY+7o1ZLk2ppUqTAUFCJy3Ni8+wDPTFvNG3PWAXB1lybcfl4LGtSsHHJl0U1BISLHnfQd+3lq2ire/O96YmOM67udyNBzm1OvuubGyIuCQkSOW+u27uPxj1fyzoI0KsfH8ouzmjHknObUqhofdmlRRUEhIse91Rl7eOyjlby3OJ3qleL45dknc9PZzahRWYEBCgoRke8t/24Xw6euYMrSTdSuGs/Qc5tzfbcTqZoQF3ZpoVJQiIjksjhtB49OXcGnX2dQv3oCt/VswTVnNqVyfGzYpYVCQSEichTzvt3Gvz5cwczVWzmhZmXu6NWCQSlNjru5vRUUIiIFmLl6C49+uILUb7fTuE4V7jq/JQM6Jh83M+7lFxRl+g2YWWUzm2tmi8xsqZndFyw/yczmmNlKMxtrZgnB8krB+1XB+mZlWa+IHD+6N6/PuKHdeOUXZ1C3WgJ/GL+YC4dPZ8LCDRw5UrH+oC6qso7KTKCXu7cHOgB9zKwr8DAw3N1bAtuBm4Ptbwa2u3sLYHiwnYhIqTAzerZqwITbz2LEdZ2pFBfD3WMW0ufx6XywZCMVrQWmsMo0KDxiT/A2Png40AsYHywfBfQPXvcL3hOsP980xZWIlDIzo3ebE5h81zk8dU1HDh9xhr4+n8ue/JxPlm867gKjzPuDmVksMA9oATwNrAZ2uHtWsEkakBy8TgbWA7h7lpntBOoBW3LtcwgwBKBp06al/SOIyHEiJsa47PQkLm7biAkLN/DYRyu56ZVUGtepwuXtk+jXIYlTT6j4w5uXeVC4+2Ggg5nVBt4BTstrs+A5r7OHn0S5u48ARkDkYnYJlSoiAkBsjDGgU2Mub5/EfxZv5J0FGxgxfQ3PfrqaUxpWp1+HZPq2T6JJ3aphl1oqQrvDxN13mNmnQFegtpnFBWcVjYH0YLM0oAmQZmZxQC1gWxj1iojEx8bQv2My/Tsms3VPJpO/3MjERek8MuVrHpnyNR2b1qZf+yQuPT2JxBoVZ0ypMu0ea2aJwKEgJKoAHxK5QH0D8Ja7jzGz54DF7v6Mmd0OtHP3oWY2GBjg7oPyO4a6x4pIWUvbvo/3Fm9kwsJ0vtq4ixiDs1rU5/L2SfRpewI1y8EwIVFzH4WZnU7k4nQskQvpb7r7/WZ2MjAGqAssAK5190wzqwy8BnQkciYx2N3X5HcMBYWIhGnlpt1MXJTOxEXpfLt1HwlxMZzXKpF+HZLpdWqDqL3zO2qCoiwoKEQkGrg7i9J2MnFhOpMWp5OxO5PqleLo3aYhfdsncXaL+lF1M5+CQkQkRIePOLPXbGXiwnQmL9nI7gNZ1KuWwCXtGtGvQxKdmtYhJibcnv8KChGRKJGZdZjPvs5gwqJ0Plq2icysIyTXjnS37ds+idMa1SCM28UUFCIiUWhPZhZTl33HhIXpzFi5hcNHnJYNqtOvQxJ92yfTtF7ZdbdVUIiIRLmtezKZvOQ7Ji1MZ+43kbsAOjSpTd/2SVzWvhENapTunN8KChGRcmTDjv28tyidCQvTWRZ0t+3evD592ydxUdsTqFWl5LvbKihERMqpVZt3M3FhpLvtN1v3kRAbQ8+gu+35p5Vcd1sFhYhIOefuLE7bycRF6UxalM7m3ZlUS4jlojYncHmHSHfb+GJ0t1VQiIhUIIePOHPWBt1tv9zIrgNZ1K2WwL2Xt6Zfh+SCd5CH/ILi+J5NXESkHIqNMbo3r0/35vW5r18bpq/YwoSFG0iqXaVUjqegEBEpxyrFxXJh64Zc2LphqR0jeu4fFxGRqKSgEBGRfCkoREQkXwoKERHJl4JCRETypaAQEZF8KShERCRfCgoREclXhRvCw8wygG+P8eP1gS0lWE5JUV1Fo7qKLlprU11FU5y6TnT3xLxWVLigKA4zSz3aWCdhUl1Fo7qKLlprU11FU1p1qelJRETypaAQEZF8KSh+bETYBRyF6ioa1VV00Vqb6iqaUqlL1yhERCRfOqMQEZF8KShERCRfCgrAzF4ys81mtiTsWnIysyZmNs3MvjKzpWZ2d9g1AZhZZTOba2aLgrruC7umnMws1swWmNl7YdeSzcy+MbMvzWyhmUXNXL1mVtvMxpvZ8uDfWbcoqKlV8D1lP3aZ2bCw6wIws18H/+aXmNloM6scdk0AZnZ3UNPS0viudI0CMLMewB7gVXdvG3Y92cysEdDI3eebWQ1gHtDf3ZeFXJcB1dx9j5nFA58Dd7v77DDrymZmvwFSgJruflnY9UAkKIAUd4+qm7TMbBQww91fNLMEoKq77wi7rmxmFgtsAM5092O9kbakakkm8m+9tbvvN7M3gcnu/krIdbUFxgBdgIPAB8Ct7r6ypI6hMwrA3acD28KuIzd33+ju84PXu4GvgGObOb0EecSe4G188IiKvzjMrDFwKfBi2LVEOzOrCfQARgK4+8FoConA+cDqsEMihzigipnFAVWB9JDrATgNmO3u+9w9C/gMuKIkD6CgKCfMrBnQEZgTbiURQfPOQmAzMNXdo6Iu4DHgD8CRsAvJxYEPzWyemQ0Ju5jAyUAG8HLQVPeimVULu6hcBgOjwy4CwN03AP8HrAM2Ajvd/cNwqwJgCdDDzOqZWVXgEqBJSR5AQVEOmFl14C1gmLvvCrseAHc/7O4dgMZAl+D0N1Rmdhmw2d3nhV1LHs5y907AxcDtQXNn2OKATsCz7t4R2AvcE25JPwiawvoC48KuBcDM6gD9gJOAJKCamV0bblXg7l8BDwNTiTQ7LQKySvIYCoooF1wDeAv4t7u/HXY9uQVNFZ8CfUIuBeAsoG9wPWAM0MvMXg+3pAh3Tw+eNwPvEGlPDlsakJbjbHA8keCIFhcD8919U9iFBC4A1rp7hrsfAt4GuodcEwDuPtLdO7l7DyLN6CV2fQIUFFEtuGg8EvjK3R8Nu55sZpZoZrWD11WI/A+0PNyqwN3/5O6N3b0ZkSaLT9w99L/4zKxa0BmBoGmnN5HmglC5+3fAejNrFSw6Hwi1o0QuVxMlzU6BdUBXM6sa/L95PpHrhqEzswbBc1NgACX8vcWV5M7KKzMbDfQE6ptZGnCvu48Mtyog8hfydcCXwfUAgD+7++QQawJoBIwKeqTEAG+6e9R0RY1CDYF3Ir9biAPecPcPwi3pe3cC/w6aedYAvwi5HgCCtvYLgVvCriWbu88xs/HAfCJNOwuInqE83jKzesAh4HZ3316SO1f3WBERyZeankREJF8KChERyZeCQkRE8qWgEBGRfCkoREQkXwoKOe6Z2d/MbEuuZTFm9m8zO2BmvUv5+BeYmZvZqaV5HJFjpfsoRHIJbqZ6ARgI/CxKxvMRCY2CQuSnngJuAK5y90lhFyMSNjU9ieRgZv8ChgLXu/tb+WzXMmgu6p1reZyZZZjZvcH71mY21szWm9m+YHKZO4OzlqPtu0Ww7z65lr9uZrNzLTvdzN43s93BBD9jzazhsfzsIkejoBAJmNk/gF8Dv3T3N/LbNpgUZj5wVa5VvYD6wNjgfWMi4wHdRmT455eAfwC/K4F6WxGZSCcW+DlwE9AeeLe4+xbJSU1PIhH1gD8Dw9395UJ+ZgzwJzO71d0PBsuuAha5+3KA4PrGh/D9tY/PgerAr4BHilnz34iMAHtpMJopFpnOd6mZXeTuU4q5fxFAZxQi2XYRmRTqZjPrkHNF0AMqLscju9noTaA2kcHrsoeEv4IfziYwsypm9nczWw1kEhm07T6ghZkV9/+/C4gMde3ZtQGriIRHSjH3LfI9BYVIxCEiU6imA++b2ck51t0frM9+/A9AMD3nbH5ofuoN1CFHUBCZEW0Y8ByRpqczgIcAAxKKWXO9oJZDuR5NKeEZzuT4pqYnkYC7bw0uTs8EppjZWcFEQ8/w43b/DTlejwXuN7NKRALjv+6+Jsf6gcDj7v59M5OZ9SuglAPBc+4gqZvr/XYi8w68ksc+Mgo4hkihKShEcnD39UFvoxlEzix6BrPTpR/lI28CjxJpcupHpFkppypEmpyAyFzj/PQCeG7fAYeB04CJwedqAmfy45nLPgbaAvNc8wVIKVJQiOTi7kuD+bc/IjLh0CU5Llbn3najmc0gEhY1iARHTlOBu8xsLbADuIMC/r9z9ywzmwT8NphIaxeRXlL7cm36V2AuMMnMXga2AslEmsBedPcZhf6hRfKhaxQieXD3mcAg4FzgtQIuPI8hMuvfF+6elmvdbUSasp4FXgQWAv9biBJuJXJx/VngSeBV4LNcNS4HugIHidxJ/j6RnlD7icxWJ1IiNMOdiIjkS2cUIiKSLwWFiIjkS0EhIiL5UlCIiEi+FBQiIpIvBYWIiORLQSEiIvlSUIiISL7+P++75H5v6LMfAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "k = range(1,10)\n",
    "plt.plot(k,wcss)\n",
    "plt.xlabel('K-value',fontdict = {'fontsize' : 15})\n",
    "plt.ylabel('WCSS',fontdict = {'fontsize' : 15})\n",
    "plt.title('ELBOW PLOT', fontdict = {'fontsize' : 20})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This plot for the data that we have is really ambiguous. The elbow can be observed at 2 spots, 3 clusters and 6 clusters.\n",
    "Let us build the model with 3 clusters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 832,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])"
      ]
     },
     "execution_count": 832,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "km1 = KMeans(n_clusters = 3,random_state = 0).fit(clus_dataset1)\n",
    "\n",
    "\n",
    "km1.labels_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 833,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_0fd3ff47471648b484aedb222887910b {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_0fd3ff47471648b484aedb222887910b" ></div>
        
</body>
<script>    
    
            var map_0fd3ff47471648b484aedb222887910b = L.map(
                "map_0fd3ff47471648b484aedb222887910b",
                {
                    center: [40.7128, -74.006],
                    crs: L.CRS.EPSG3857,
                    zoom: 6,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_dc487be1420843f0b7170d8c01dcf6c5 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
            var circle_marker_c7becd9b763e44719b6c609b30a52af7 = L.circleMarker(
                [40.6924117, -73.98597075461413],
                {"bubblingMouseEvents": true, "color": "#80ffb4", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#80ffb4", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_12072b11161143968ac09f543475583b = L.popup({"maxWidth": "100%"});

        
            var html_3ef65dd426064875a0a6acc7424dbc92 = $(`<div id="html_3ef65dd426064875a0a6acc7424dbc92" style="width: 100.0%; height: 100.0%;">ASA College Cluster 2</div>`)[0];
            popup_12072b11161143968ac09f543475583b.setContent(html_3ef65dd426064875a0a6acc7424dbc92);
        

        circle_marker_c7becd9b763e44719b6c609b30a52af7.bindPopup(popup_12072b11161143968ac09f543475583b)
        ;

        
    
    
            var circle_marker_07aef03f8ad2458d863f30aec0f91b47 = L.circleMarker(
                [43.35293815, -73.65337333490109],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_7e65bd14d1664d85aca9d19beb8f861d = L.popup({"maxWidth": "100%"});

        
            var html_130f61cfb1cb4fa0abb73e511e3349d6 = $(`<div id="html_130f61cfb1cb4fa0abb73e511e3349d6" style="width: 100.0%; height: 100.0%;">Adirondack Community College Cluster 0</div>`)[0];
            popup_7e65bd14d1664d85aca9d19beb8f861d.setContent(html_130f61cfb1cb4fa0abb73e511e3349d6);
        

        circle_marker_07aef03f8ad2458d863f30aec0f91b47.bindPopup(popup_7e65bd14d1664d85aca9d19beb8f861d)
        ;

        
    
    
            var circle_marker_92e7c0dddfff4b7e823008b69699bd33 = L.circleMarker(
                [40.7172487, -74.0121804],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_4bdc8ee8ac364e65901da7a7c7f56f89 = L.popup({"maxWidth": "100%"});

        
            var html_cbf9d1d8a3374ae5bc33a6f780d72ecb = $(`<div id="html_cbf9d1d8a3374ae5bc33a6f780d72ecb" style="width: 100.0%; height: 100.0%;">CUNY Borough of Manhattan Community College Cluster 0</div>`)[0];
            popup_4bdc8ee8ac364e65901da7a7c7f56f89.setContent(html_cbf9d1d8a3374ae5bc33a6f780d72ecb);
        

        circle_marker_92e7c0dddfff4b7e823008b69699bd33.bindPopup(popup_4bdc8ee8ac364e65901da7a7c7f56f89)
        ;

        
    
    
            var circle_marker_1371db0f21ce4e63a41ad2bafd2a85c4 = L.circleMarker(
                [40.857684649999996, -73.91289615614554],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_246b35c4c6184020ab831d7ec10ba199 = L.popup({"maxWidth": "100%"});

        
            var html_155d9756a64e4ba2ab47c0df7573cfe5 = $(`<div id="html_155d9756a64e4ba2ab47c0df7573cfe5" style="width: 100.0%; height: 100.0%;">CUNY Bronx Community College Cluster 0</div>`)[0];
            popup_246b35c4c6184020ab831d7ec10ba199.setContent(html_155d9756a64e4ba2ab47c0df7573cfe5);
        

        circle_marker_1371db0f21ce4e63a41ad2bafd2a85c4.bindPopup(popup_246b35c4c6184020ab831d7ec10ba199)
        ;

        
    
    
            var circle_marker_1379fea91df944769a333aa713760a01 = L.circleMarker(
                [40.8180719, -73.9268413875],
                {"bubblingMouseEvents": true, "color": "#8000ff", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#8000ff", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_e43f0f246a36431fa1ec3001d0d53ff3 = L.popup({"maxWidth": "100%"});

        
            var html_3a57f4c5ec274ab0992c789477a0abde = $(`<div id="html_3a57f4c5ec274ab0992c789477a0abde" style="width: 100.0%; height: 100.0%;">CUNY Hostos Community College Cluster 1</div>`)[0];
            popup_e43f0f246a36431fa1ec3001d0d53ff3.setContent(html_3a57f4c5ec274ab0992c789477a0abde);
        

        circle_marker_1379fea91df944769a333aa713760a01.bindPopup(popup_e43f0f246a36431fa1ec3001d0d53ff3)
        ;

        
    
    
            var circle_marker_b8e079012ea04969a2b0cec6cc96169b = L.circleMarker(
                [40.7463575, -73.9425968],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_5e3e240d2ba640db86fcee12d5761780 = L.popup({"maxWidth": "100%"});

        
            var html_44f3f6ad1cad4d808777207321660f6d = $(`<div id="html_44f3f6ad1cad4d808777207321660f6d" style="width: 100.0%; height: 100.0%;">CUNY LaGuardia Community College Cluster 0</div>`)[0];
            popup_5e3e240d2ba640db86fcee12d5761780.setContent(html_44f3f6ad1cad4d808777207321660f6d);
        

        circle_marker_b8e079012ea04969a2b0cec6cc96169b.bindPopup(popup_5e3e240d2ba640db86fcee12d5761780)
        ;

        
    
    
            var circle_marker_c5b4f4403f434d92b2a8a52acb2d7914 = L.circleMarker(
                [40.6662941, -73.95836331384717],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_587b66a6bae5404b8f2347746fd47dd7 = L.popup({"maxWidth": "100%"});

        
            var html_dcf283967af64d57bf4f3f9c8906786d = $(`<div id="html_dcf283967af64d57bf4f3f9c8906786d" style="width: 100.0%; height: 100.0%;">CUNY Medgar Evers College Cluster 0</div>`)[0];
            popup_587b66a6bae5404b8f2347746fd47dd7.setContent(html_dcf283967af64d57bf4f3f9c8906786d);
        

        circle_marker_c5b4f4403f434d92b2a8a52acb2d7914.bindPopup(popup_587b66a6bae5404b8f2347746fd47dd7)
        ;

        
    
    
            var circle_marker_0fe8660879fe41b58b80b8d2d2b8856b = L.circleMarker(
                [40.6952788, -73.9873073],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_692cfe283ddf4fa48599179e6923ae29 = L.popup({"maxWidth": "100%"});

        
            var html_3d5ee80fb84e4622b3302f3620030017 = $(`<div id="html_3d5ee80fb84e4622b3302f3620030017" style="width: 100.0%; height: 100.0%;">CUNY New York City College of Technology Cluster 0</div>`)[0];
            popup_692cfe283ddf4fa48599179e6923ae29.setContent(html_3d5ee80fb84e4622b3302f3620030017);
        

        circle_marker_0fe8660879fe41b58b80b8d2d2b8856b.bindPopup(popup_692cfe283ddf4fa48599179e6923ae29)
        ;

        
    
    
            var circle_marker_f216b483a603446ca74c99410088bf9e = L.circleMarker(
                [40.75602515, -73.7565401216789],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_02f402606834477c9d1403f0c570964b = L.popup({"maxWidth": "100%"});

        
            var html_4fd49efc79ed4a97b3f777a9e7325586 = $(`<div id="html_4fd49efc79ed4a97b3f777a9e7325586" style="width: 100.0%; height: 100.0%;">CUNY Queensborough Community College Cluster 0</div>`)[0];
            popup_02f402606834477c9d1403f0c570964b.setContent(html_4fd49efc79ed4a97b3f777a9e7325586);
        

        circle_marker_f216b483a603446ca74c99410088bf9e.bindPopup(popup_02f402606834477c9d1403f0c570964b)
        ;

        
    
    
            var circle_marker_3bcc1ccbca95401d816b51333b022c85 = L.circleMarker(
                [42.881776599999995, -78.87262327214984],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_53035a31441142a5ab47a87cb9094645 = L.popup({"maxWidth": "100%"});

        
            var html_f962d8504ac745c29c9b0eccbb95a863 = $(`<div id="html_f962d8504ac745c29c9b0eccbb95a863" style="width: 100.0%; height: 100.0%;">Erie Community College Cluster 0</div>`)[0];
            popup_53035a31441142a5ab47a87cb9094645.setContent(html_f962d8504ac745c29c9b0eccbb95a863);
        

        circle_marker_3bcc1ccbca95401d816b51333b022c85.bindPopup(popup_53035a31441142a5ab47a87cb9094645)
        ;

        
    
    
            var circle_marker_a6fe3810edbd407590e8ce2e51db6335 = L.circleMarker(
                [40.746908653061226, -73.99427475510204],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_b1b1c9aedd794765b1a6e852d1e63982 = L.popup({"maxWidth": "100%"});

        
            var html_8d8d9265eee843fda19dee66ed7b3ab2 = $(`<div id="html_8d8d9265eee843fda19dee66ed7b3ab2" style="width: 100.0%; height: 100.0%;">Fashion Institute of Technology Cluster 0</div>`)[0];
            popup_b1b1c9aedd794765b1a6e852d1e63982.setContent(html_8d8d9265eee843fda19dee66ed7b3ab2);
        

        circle_marker_a6fe3810edbd407590e8ce2e51db6335.bindPopup(popup_b1b1c9aedd794765b1a6e852d1e63982)
        ;

        
    
    
            var circle_marker_a1924d1e6a584a0fac8836537cc41b40 = L.circleMarker(
                [42.6964666, -73.6876308],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_076df0759cf4474790c7f0f58f162635 = L.popup({"maxWidth": "100%"});

        
            var html_bddfca2e47f94a099c1eb5d9b0586bae = $(`<div id="html_bddfca2e47f94a099c1eb5d9b0586bae" style="width: 100.0%; height: 100.0%;">Hudson Valley Community College Cluster 0</div>`)[0];
            popup_076df0759cf4474790c7f0f58f162635.setContent(html_bddfca2e47f94a099c1eb5d9b0586bae);
        

        circle_marker_a1924d1e6a584a0fac8836537cc41b40.bindPopup(popup_076df0759cf4474790c7f0f58f162635)
        ;

        
    
    
            var circle_marker_ca9974c0369c4b55825b97aaedcdb15f = L.circleMarker(
                [42.113895521606025, -79.21725503718862],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_8bf2f6ca43b6477cbd3b8e1e2b36e0e2 = L.popup({"maxWidth": "100%"});

        
            var html_3aff30edc4ee479fb646cfe70e1b53c7 = $(`<div id="html_3aff30edc4ee479fb646cfe70e1b53c7" style="width: 100.0%; height: 100.0%;">Jamestown Community College Cluster 0</div>`)[0];
            popup_8bf2f6ca43b6477cbd3b8e1e2b36e0e2.setContent(html_3aff30edc4ee479fb646cfe70e1b53c7);
        

        circle_marker_ca9974c0369c4b55825b97aaedcdb15f.bindPopup(popup_8bf2f6ca43b6477cbd3b8e1e2b36e0e2)
        ;

        
    
    
            var circle_marker_75ddccc0c07b45409536b73f23ed1722 = L.circleMarker(
                [43.076606, -75.21665985048875],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_587bc55a660848a0a91ee0b6787f9e47 = L.popup({"maxWidth": "100%"});

        
            var html_ae65b40198714a5181769c1138431663 = $(`<div id="html_ae65b40198714a5181769c1138431663" style="width: 100.0%; height: 100.0%;">Mohawk Valley Community College Cluster 0</div>`)[0];
            popup_587bc55a660848a0a91ee0b6787f9e47.setContent(html_ae65b40198714a5181769c1138431663);
        

        circle_marker_75ddccc0c07b45409536b73f23ed1722.bindPopup(popup_587bc55a660848a0a91ee0b6787f9e47)
        ;

        
    
    
            var circle_marker_a8689f57c77d4e65a08c6e57b620e800 = L.circleMarker(
                [40.864011, -73.9003313],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_f3cb98fb02904487b16f57d51e4b45af = L.popup({"maxWidth": "100%"});

        
            var html_3294d0641c8042de82e9ba0cf707ec5d = $(`<div id="html_3294d0641c8042de82e9ba0cf707ec5d" style="width: 100.0%; height: 100.0%;">Monroe College Cluster 0</div>`)[0];
            popup_f3cb98fb02904487b16f57d51e4b45af.setContent(html_3294d0641c8042de82e9ba0cf707ec5d);
        

        circle_marker_a8689f57c77d4e65a08c6e57b620e800.bindPopup(popup_f3cb98fb02904487b16f57d51e4b45af)
        ;

        
    
    
            var circle_marker_175379a7486f4751a4074b5c0fc04c1f = L.circleMarker(
                [43.14722585, -78.87737447655854],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_6ec9191b3e75492ab8280d45250453cd = L.popup({"maxWidth": "100%"});

        
            var html_811806f1ce6d4faeb54e60bc7525df49 = $(`<div id="html_811806f1ce6d4faeb54e60bc7525df49" style="width: 100.0%; height: 100.0%;">Niagara County Community College Cluster 0</div>`)[0];
            popup_6ec9191b3e75492ab8280d45250453cd.setContent(html_811806f1ce6d4faeb54e60bc7525df49);
        

        circle_marker_175379a7486f4751a4074b5c0fc04c1f.bindPopup(popup_6ec9191b3e75492ab8280d45250453cd)
        ;

        
    
    
            var circle_marker_b6f4807acfaa4ef8aaebe5e291ddc4f5 = L.circleMarker(
                [43.00564765, -76.19734280374506],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_092cf1ab76a44989b0eb053e78e6c78a = L.popup({"maxWidth": "100%"});

        
            var html_bf94d756ab2e4caaa40fbafed5cf3c15 = $(`<div id="html_bf94d756ab2e4caaa40fbafed5cf3c15" style="width: 100.0%; height: 100.0%;">Onondaga Community College Cluster 0</div>`)[0];
            popup_092cf1ab76a44989b0eb053e78e6c78a.setContent(html_bf94d756ab2e4caaa40fbafed5cf3c15);
        

        circle_marker_b6f4807acfaa4ef8aaebe5e291ddc4f5.bindPopup(popup_092cf1ab76a44989b0eb053e78e6c78a)
        ;

        
    
    
            var circle_marker_8f47254d79e549b08e22a7ee5c939c5f = L.circleMarker(
                [41.4386372, -74.42600776186225],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_b8c3de9a24894f1aaae15a0fcb5804c6 = L.popup({"maxWidth": "100%"});

        
            var html_f41418ba253547febccecb8ab274ac4d = $(`<div id="html_f41418ba253547febccecb8ab274ac4d" style="width: 100.0%; height: 100.0%;">Orange County Community College Cluster 0</div>`)[0];
            popup_b8c3de9a24894f1aaae15a0fcb5804c6.setContent(html_f41418ba253547febccecb8ab274ac4d);
        

        circle_marker_8f47254d79e549b08e22a7ee5c939c5f.bindPopup(popup_b8c3de9a24894f1aaae15a0fcb5804c6)
        ;

        
    
    
            var circle_marker_06f6f256a8b6498092257a71a4846876 = L.circleMarker(
                [42.1377063338942, -75.90504550530397],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_5cc8b7dbf2cc499b872b1d945e8ed3d0 = L.popup({"maxWidth": "100%"});

        
            var html_0d986fef721646f1b80aa1f481eb03ff = $(`<div id="html_0d986fef721646f1b80aa1f481eb03ff" style="width: 100.0%; height: 100.0%;">SUNY Broome Community College Cluster 0</div>`)[0];
            popup_5cc8b7dbf2cc499b872b1d945e8ed3d0.setContent(html_0d986fef721646f1b80aa1f481eb03ff);
        

        circle_marker_06f6f256a8b6498092257a71a4846876.bindPopup(popup_5cc8b7dbf2cc499b872b1d945e8ed3d0)
        ;

        
    
    
            var circle_marker_f0c6d1d17b9b44bc8ea0a8bb7bc40695 = L.circleMarker(
                [42.81576851724138, -73.94937124137931],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_e0cb5656ecfa449fb4f3a8588125d07f = L.popup({"maxWidth": "100%"});

        
            var html_5feb0ea061d4487c8d37388b8a30f6b9 = $(`<div id="html_5feb0ea061d4487c8d37388b8a30f6b9" style="width: 100.0%; height: 100.0%;">Schenectady County Community College Cluster 0</div>`)[0];
            popup_e0cb5656ecfa449fb4f3a8588125d07f.setContent(html_5feb0ea061d4487c8d37388b8a30f6b9);
        

        circle_marker_f0c6d1d17b9b44bc8ea0a8bb7bc40695.bindPopup(popup_e0cb5656ecfa449fb4f3a8588125d07f)
        ;

        
    
    
            var circle_marker_4f821f2e6d8a4db49c384fe024e32fc8 = L.circleMarker(
                [42.50143525925926, -76.29813185185185],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_0fd3ff47471648b484aedb222887910b);
        
    
        var popup_fd1f359af717428aaa31e920f5180203 = L.popup({"maxWidth": "100%"});

        
            var html_3eb00e2e87bc49658d2c2cabc8b670d0 = $(`<div id="html_3eb00e2e87bc49658d2c2cabc8b670d0" style="width: 100.0%; height: 100.0%;">Tompkins Cortland Community College Cluster 0</div>`)[0];
            popup_fd1f359af717428aaa31e920f5180203.setContent(html_3eb00e2e87bc49658d2c2cabc8b670d0);
        

        circle_marker_4f821f2e6d8a4db49c384fe024e32fc8.bindPopup(popup_fd1f359af717428aaa31e920f5180203)
        ;

        
    
</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 0x20227fed9e8>"
      ]
     },
     "execution_count": 833,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot_map(3,ny_grouped['Latitude'],ny_grouped['Longitude'],ny_grouped['College'],km1.labels_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 837,
   "metadata": {},
   "outputs": [],
   "source": [
    "ny_grouped.insert(1,'Clusters',km1.labels_)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cluster 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 868,
   "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>College</th>\n",
       "      <th>Clusters</th>\n",
       "      <th>No._of_students</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Bookstore</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Gym Pool</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Juice Bar</th>\n",
       "      <th>Karaoke Bar</th>\n",
       "      <th>Kebab Restaurant</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Paella Restaurant</th>\n",
       "      <th>Piano Bar</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>0</td>\n",
       "      <td>26606.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.7172</td>\n",
       "      <td>-74.0122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CUNY LaGuardia Community College</td>\n",
       "      <td>0</td>\n",
       "      <td>20231.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>40.7464</td>\n",
       "      <td>-73.9426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>0</td>\n",
       "      <td>11506.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.8577</td>\n",
       "      <td>-73.9129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CUNY Medgar Evers College</td>\n",
       "      <td>0</td>\n",
       "      <td>6701.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.250000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.6663</td>\n",
       "      <td>-73.9584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>0</td>\n",
       "      <td>4247.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.3529</td>\n",
       "      <td>-73.6534</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       College  Clusters  No._of_students  \\\n",
       "2  CUNY Borough of Manhattan Community College         0          26606.0   \n",
       "5             CUNY LaGuardia Community College         0          20231.0   \n",
       "3                 CUNY Bronx Community College         0          11506.0   \n",
       "6                    CUNY Medgar Evers College         0           6701.0   \n",
       "1                 Adirondack Community College         0           4247.0   \n",
       "\n",
       "   American Restaurant  Asian Restaurant  Bar  Basketball Court  Bistro  \\\n",
       "2             0.166667               0.0  0.0          0.166667     0.0   \n",
       "5             0.000000               0.0  0.0          0.000000     0.0   \n",
       "3             0.000000               0.0  0.0          0.000000     0.0   \n",
       "6             0.000000               0.0  0.0          0.000000     0.0   \n",
       "1             1.000000               0.0  0.0          0.000000     0.0   \n",
       "\n",
       "   Bookstore  Boxing Gym  Burger Joint  Chinese Restaurant  Coffee Shop  \\\n",
       "2   0.166667         0.0           0.0                 0.0     0.166667   \n",
       "5   0.100000         0.0           0.1                 0.1     0.200000   \n",
       "3   0.000000         0.0           0.0                 0.0     0.000000   \n",
       "6   0.000000         0.0           0.0                 0.0     0.250000   \n",
       "1   0.000000         0.0           0.0                 0.0     0.000000   \n",
       "\n",
       "   College Bookstore  College Gym  Cuban Restaurant  Fast Food Restaurant  \\\n",
       "2                0.0          0.0               0.0                   0.0   \n",
       "5                0.0          0.0               0.0                   0.0   \n",
       "3                0.0          1.0               0.0                   0.0   \n",
       "6                0.0          0.0               0.0                   0.0   \n",
       "1                0.0          0.0               0.0                   0.0   \n",
       "\n",
       "   French Restaurant  Greek Restaurant  Gym  Gym / Fitness Center  Gym Pool  \\\n",
       "2                0.0               0.0  0.0                   0.0       0.0   \n",
       "5                0.0               0.0  0.0                   0.0       0.0   \n",
       "3                0.0               0.0  0.0                   0.0       0.0   \n",
       "6                0.0               0.0  0.0                   0.0       0.0   \n",
       "1                0.0               0.0  0.0                   0.0       0.0   \n",
       "\n",
       "   Italian Restaurant  Juice Bar  Karaoke Bar  Kebab Restaurant  \\\n",
       "2            0.166667        0.0          0.0               0.0   \n",
       "5            0.100000        0.0          0.0               0.0   \n",
       "3            0.000000        0.0          0.0               0.0   \n",
       "6            0.000000        0.0          0.0               0.0   \n",
       "1            0.000000        0.0          0.0               0.0   \n",
       "\n",
       "   Mexican Restaurant  Paella Restaurant  Piano Bar  Pizza Place  Playground  \\\n",
       "2                 0.0               0.00        0.0         0.00    0.166667   \n",
       "5                 0.1               0.00        0.0         0.10    0.000000   \n",
       "3                 0.0               0.00        0.0         0.00    0.000000   \n",
       "6                 0.0               0.25        0.0         0.25    0.000000   \n",
       "1                 0.0               0.00        0.0         0.00    0.000000   \n",
       "\n",
       "   Pool  Pub  Sandwich Place  Shanghai Restaurant  \\\n",
       "2   0.0  0.0            0.00                  0.0   \n",
       "5   0.0  0.0            0.00                  0.0   \n",
       "3   0.0  0.0            0.00                  0.0   \n",
       "6   0.0  0.0            0.25                  0.0   \n",
       "1   0.0  0.0            0.00                  0.0   \n",
       "\n",
       "   Southern / Soul Food Restaurant  Spanish Restaurant  Supermarket  \\\n",
       "2                              0.0                 0.0          0.0   \n",
       "5                              0.0                 0.0          0.1   \n",
       "3                              0.0                 0.0          0.0   \n",
       "6                              0.0                 0.0          0.0   \n",
       "1                              0.0                 0.0          0.0   \n",
       "\n",
       "   Sushi Restaurant  Thai Restaurant  Wine Shop Latitude Longitude  \n",
       "2               0.0              0.0        0.0  40.7172  -74.0122  \n",
       "5               0.0              0.0        0.1  40.7464  -73.9426  \n",
       "3               0.0              0.0        0.0  40.8577  -73.9129  \n",
       "6               0.0              0.0        0.0  40.6663  -73.9584  \n",
       "1               0.0              0.0        0.0  43.3529  -73.6534  "
      ]
     },
     "execution_count": 868,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ny_grouped[ny_grouped['Clusters'] == 0].head().sort_values(by = ['No._of_students'], ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 865,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['American Restaurant', 'Bar', 'Basketball Court', 'Bistro', 'Bookstore',\n",
       "       'Boxing Gym', 'Burger Joint', 'Chinese Restaurant', 'Coffee Shop',\n",
       "       'College Bookstore', 'College Gym', 'Fast Food Restaurant',\n",
       "       'French Restaurant', 'Greek Restaurant', 'Gym', 'Gym / Fitness Center',\n",
       "       'Gym Pool', 'Italian Restaurant', 'Juice Bar', 'Mexican Restaurant',\n",
       "       'Paella Restaurant', 'Piano Bar', 'Pizza Place', 'Playground', 'Pool',\n",
       "       'Sandwich Place', 'Spanish Restaurant', 'Supermarket',\n",
       "       'Thai Restaurant', 'Wine Shop'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 865,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## To obtain all the types of hotspots around colleges in Cluster 1\n",
    "m1 = (ny_grouped[ny_grouped['Clusters'] == 0].iloc[ :,3:41] != 0).any()\n",
    "a = m1.index[m1]\n",
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The colleges in cluster 1 are surrounded by a wide variety of hotspots. These college neighborhoods have a lot of amenties around them and it would be a safe bet to open a student hostel around any of these colleges.\n",
    "\n",
    "The neighborhood around CUNY Borough of Manhattan Community College would be the best bet since it has a lot of students enrolled and also the neighborhood boasts of a wide variety of hotspots.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cluster 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 843,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>College</th>\n",
       "      <th>Clusters</th>\n",
       "      <th>No._of_students</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Bookstore</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Gym Pool</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Juice Bar</th>\n",
       "      <th>Karaoke Bar</th>\n",
       "      <th>Kebab Restaurant</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Paella Restaurant</th>\n",
       "      <th>Piano Bar</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>1</td>\n",
       "      <td>6985.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.8181</td>\n",
       "      <td>-73.9268</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         College  Clusters  No._of_students  \\\n",
       "4  CUNY Hostos Community College         1           6985.0   \n",
       "\n",
       "   American Restaurant  Asian Restaurant   Bar  Basketball Court  Bistro  \\\n",
       "4                  0.0               0.0  0.25               0.0     0.0   \n",
       "\n",
       "   Bookstore  Boxing Gym  Burger Joint  Chinese Restaurant  Coffee Shop  \\\n",
       "4        0.0         0.0           0.0                 0.0          0.0   \n",
       "\n",
       "   College Bookstore  College Gym  Cuban Restaurant  Fast Food Restaurant  \\\n",
       "4                0.0          0.0             0.125                  0.25   \n",
       "\n",
       "   French Restaurant  Greek Restaurant  Gym  Gym / Fitness Center  Gym Pool  \\\n",
       "4                0.0               0.0  0.0                   0.0       0.0   \n",
       "\n",
       "   Italian Restaurant  Juice Bar  Karaoke Bar  Kebab Restaurant  \\\n",
       "4                 0.0        0.0        0.125               0.0   \n",
       "\n",
       "   Mexican Restaurant  Paella Restaurant  Piano Bar  Pizza Place  Playground  \\\n",
       "4                 0.0                0.0        0.0          0.0         0.0   \n",
       "\n",
       "   Pool    Pub  Sandwich Place  Shanghai Restaurant  \\\n",
       "4   0.0  0.125             0.0                  0.0   \n",
       "\n",
       "   Southern / Soul Food Restaurant  Spanish Restaurant  Supermarket  \\\n",
       "4                            0.125                 0.0          0.0   \n",
       "\n",
       "   Sushi Restaurant  Thai Restaurant  Wine Shop Latitude Longitude  \n",
       "4               0.0              0.0        0.0  40.8181  -73.9268  "
      ]
     },
     "execution_count": 843,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ny_grouped[ny_grouped['Clusters'] == 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 862,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Bar', 'Cuban Restaurant', 'Fast Food Restaurant', 'Karaoke Bar', 'Pub',\n",
       "       'Southern / Soul Food Restaurant'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 862,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To obtain all the types of hotspots around colleges in Cluster 2\n",
    "m2 = (ny_grouped[ny_grouped['Clusters'] == 1][ny_grouped.iloc[ :,3:41] != 0]).any()\n",
    "a = m2.index[m2]\n",
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The colleges in cluster 2 are surrounded by hotspots like Bars and fast food restaurants"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cluster 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 844,
   "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>College</th>\n",
       "      <th>Clusters</th>\n",
       "      <th>No._of_students</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Bookstore</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Gym Pool</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Juice Bar</th>\n",
       "      <th>Karaoke Bar</th>\n",
       "      <th>Kebab Restaurant</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Paella Restaurant</th>\n",
       "      <th>Piano Bar</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>2</td>\n",
       "      <td>4624.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.6924</td>\n",
       "      <td>-73.986</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       College  Clusters  No._of_students  American Restaurant  \\\n",
       "0  ASA College         2           4624.0                  0.0   \n",
       "\n",
       "   Asian Restaurant  Bar  Basketball Court  Bistro  Bookstore  Boxing Gym  \\\n",
       "0          0.083333  0.0               0.0     0.0        0.0         0.0   \n",
       "\n",
       "   Burger Joint  Chinese Restaurant  Coffee Shop  College Bookstore  \\\n",
       "0      0.083333            0.083333          0.0                0.0   \n",
       "\n",
       "   College Gym  Cuban Restaurant  Fast Food Restaurant  French Restaurant  \\\n",
       "0          0.0               0.0                   0.0           0.083333   \n",
       "\n",
       "   Greek Restaurant       Gym  Gym / Fitness Center  Gym Pool  \\\n",
       "0               0.0  0.166667                   0.0       0.0   \n",
       "\n",
       "   Italian Restaurant  Juice Bar  Karaoke Bar  Kebab Restaurant  \\\n",
       "0            0.083333   0.083333          0.0          0.083333   \n",
       "\n",
       "   Mexican Restaurant  Paella Restaurant  Piano Bar  Pizza Place  Playground  \\\n",
       "0                 0.0                0.0        0.0          0.0         0.0   \n",
       "\n",
       "   Pool  Pub  Sandwich Place  Shanghai Restaurant  \\\n",
       "0   0.0  0.0        0.083333             0.083333   \n",
       "\n",
       "   Southern / Soul Food Restaurant  Spanish Restaurant  Supermarket  \\\n",
       "0                              0.0                 0.0          0.0   \n",
       "\n",
       "   Sushi Restaurant  Thai Restaurant  Wine Shop Latitude Longitude  \n",
       "0          0.083333              0.0        0.0  40.6924   -73.986  "
      ]
     },
     "execution_count": 844,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ny_grouped[ny_grouped['Clusters'] == 2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 866,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Asian Restaurant', 'Burger Joint', 'Chinese Restaurant',\n",
       "       'French Restaurant', 'Gym', 'Italian Restaurant', 'Juice Bar',\n",
       "       'Kebab Restaurant', 'Sandwich Place', 'Shanghai Restaurant',\n",
       "       'Sushi Restaurant'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 866,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# To obtain all the types of hotspots around colleges in Cluster 3\n",
    "m3 = (ny_grouped[ny_grouped['Clusters'] == 2][ny_grouped.iloc[ :,3:41] != 0]).any()\n",
    "a = m3.index[m3]\n",
    "a"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The colleges in cluster 3 are surrounded by hotspots like International cuisine restaurants."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Model 3 : DBSCAN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 783,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DBSCAN(algorithm='auto', eps=0.4, leaf_size=30, metric='euclidean',\n",
       "       metric_params=None, min_samples=4, n_jobs=None, p=None)"
      ]
     },
     "execution_count": 783,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db = DBSCAN(eps = 0.40,min_samples = 4)\n",
    "\n",
    "clus_data = ny_grouped[['Latitude','Longitude']]\n",
    "\n",
    "db.fit(clus_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 782,
   "metadata": {},
   "outputs": [],
   "source": [
    "#ny_grouped.drop(['dbscan_cluster_label'],axis = 1,inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 784,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 0 -1  0  0  0  0  0  0  0 -1  0 -1 -1 -1  0 -1 -1 -1 -1 -1 -1]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>College</th>\n",
       "      <th>Cluster label</th>\n",
       "      <th>dbscan_cluster_label</th>\n",
       "      <th>No._of_students</th>\n",
       "      <th>American Restaurant</th>\n",
       "      <th>Asian Restaurant</th>\n",
       "      <th>Bar</th>\n",
       "      <th>Basketball Court</th>\n",
       "      <th>Bistro</th>\n",
       "      <th>Bookstore</th>\n",
       "      <th>Boxing Gym</th>\n",
       "      <th>Burger Joint</th>\n",
       "      <th>Chinese Restaurant</th>\n",
       "      <th>Coffee Shop</th>\n",
       "      <th>College Bookstore</th>\n",
       "      <th>College Gym</th>\n",
       "      <th>Cuban Restaurant</th>\n",
       "      <th>Fast Food Restaurant</th>\n",
       "      <th>French Restaurant</th>\n",
       "      <th>Greek Restaurant</th>\n",
       "      <th>Gym</th>\n",
       "      <th>Gym / Fitness Center</th>\n",
       "      <th>Gym Pool</th>\n",
       "      <th>Italian Restaurant</th>\n",
       "      <th>Juice Bar</th>\n",
       "      <th>Karaoke Bar</th>\n",
       "      <th>Kebab Restaurant</th>\n",
       "      <th>Mexican Restaurant</th>\n",
       "      <th>Paella Restaurant</th>\n",
       "      <th>Piano Bar</th>\n",
       "      <th>Pizza Place</th>\n",
       "      <th>Playground</th>\n",
       "      <th>Pool</th>\n",
       "      <th>Pub</th>\n",
       "      <th>Sandwich Place</th>\n",
       "      <th>Shanghai Restaurant</th>\n",
       "      <th>Southern / Soul Food Restaurant</th>\n",
       "      <th>Spanish Restaurant</th>\n",
       "      <th>Supermarket</th>\n",
       "      <th>Sushi Restaurant</th>\n",
       "      <th>Thai Restaurant</th>\n",
       "      <th>Wine Shop</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ASA College</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>4624.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.6924</td>\n",
       "      <td>-73.986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Adirondack Community College</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>4247.0</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>43.3529</td>\n",
       "      <td>-73.6534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CUNY Borough of Manhattan Community College</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>26606.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.7172</td>\n",
       "      <td>-74.0122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUNY Bronx Community College</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>11506.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.8577</td>\n",
       "      <td>-73.9129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUNY Hostos Community College</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>6985.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.8181</td>\n",
       "      <td>-73.9268</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       College  Cluster label  \\\n",
       "0                                  ASA College              1   \n",
       "1                 Adirondack Community College              3   \n",
       "2  CUNY Borough of Manhattan Community College              5   \n",
       "3                 CUNY Bronx Community College              1   \n",
       "4                CUNY Hostos Community College              1   \n",
       "\n",
       "   dbscan_cluster_label  No._of_students  American Restaurant  \\\n",
       "0                     0           4624.0             0.000000   \n",
       "1                    -1           4247.0             1.000000   \n",
       "2                     0          26606.0             0.166667   \n",
       "3                     0          11506.0             0.000000   \n",
       "4                     0           6985.0             0.000000   \n",
       "\n",
       "   Asian Restaurant   Bar  Basketball Court  Bistro  Bookstore  Boxing Gym  \\\n",
       "0          0.083333  0.00          0.000000     0.0   0.000000         0.0   \n",
       "1          0.000000  0.00          0.000000     0.0   0.000000         0.0   \n",
       "2          0.000000  0.00          0.166667     0.0   0.166667         0.0   \n",
       "3          0.000000  0.00          0.000000     0.0   0.000000         0.0   \n",
       "4          0.000000  0.25          0.000000     0.0   0.000000         0.0   \n",
       "\n",
       "   Burger Joint  Chinese Restaurant  Coffee Shop  College Bookstore  \\\n",
       "0      0.083333            0.083333     0.000000                0.0   \n",
       "1      0.000000            0.000000     0.000000                0.0   \n",
       "2      0.000000            0.000000     0.166667                0.0   \n",
       "3      0.000000            0.000000     0.000000                0.0   \n",
       "4      0.000000            0.000000     0.000000                0.0   \n",
       "\n",
       "   College Gym  Cuban Restaurant  Fast Food Restaurant  French Restaurant  \\\n",
       "0          0.0             0.000                  0.00           0.083333   \n",
       "1          0.0             0.000                  0.00           0.000000   \n",
       "2          0.0             0.000                  0.00           0.000000   \n",
       "3          1.0             0.000                  0.00           0.000000   \n",
       "4          0.0             0.125                  0.25           0.000000   \n",
       "\n",
       "   Greek Restaurant       Gym  Gym / Fitness Center  Gym Pool  \\\n",
       "0               0.0  0.166667                   0.0       0.0   \n",
       "1               0.0  0.000000                   0.0       0.0   \n",
       "2               0.0  0.000000                   0.0       0.0   \n",
       "3               0.0  0.000000                   0.0       0.0   \n",
       "4               0.0  0.000000                   0.0       0.0   \n",
       "\n",
       "   Italian Restaurant  Juice Bar  Karaoke Bar  Kebab Restaurant  \\\n",
       "0            0.083333   0.083333        0.000          0.083333   \n",
       "1            0.000000   0.000000        0.000          0.000000   \n",
       "2            0.166667   0.000000        0.000          0.000000   \n",
       "3            0.000000   0.000000        0.000          0.000000   \n",
       "4            0.000000   0.000000        0.125          0.000000   \n",
       "\n",
       "   Mexican Restaurant  Paella Restaurant  Piano Bar  Pizza Place  Playground  \\\n",
       "0                 0.0                0.0        0.0          0.0    0.000000   \n",
       "1                 0.0                0.0        0.0          0.0    0.000000   \n",
       "2                 0.0                0.0        0.0          0.0    0.166667   \n",
       "3                 0.0                0.0        0.0          0.0    0.000000   \n",
       "4                 0.0                0.0        0.0          0.0    0.000000   \n",
       "\n",
       "   Pool    Pub  Sandwich Place  Shanghai Restaurant  \\\n",
       "0   0.0  0.000        0.083333             0.083333   \n",
       "1   0.0  0.000        0.000000             0.000000   \n",
       "2   0.0  0.000        0.000000             0.000000   \n",
       "3   0.0  0.000        0.000000             0.000000   \n",
       "4   0.0  0.125        0.000000             0.000000   \n",
       "\n",
       "   Southern / Soul Food Restaurant  Spanish Restaurant  Supermarket  \\\n",
       "0                            0.000                 0.0          0.0   \n",
       "1                            0.000                 0.0          0.0   \n",
       "2                            0.000                 0.0          0.0   \n",
       "3                            0.000                 0.0          0.0   \n",
       "4                            0.125                 0.0          0.0   \n",
       "\n",
       "   Sushi Restaurant  Thai Restaurant  Wine Shop Latitude Longitude  \n",
       "0          0.083333              0.0        0.0  40.6924   -73.986  \n",
       "1          0.000000              0.0        0.0  43.3529  -73.6534  \n",
       "2          0.000000              0.0        0.0  40.7172  -74.0122  \n",
       "3          0.000000              0.0        0.0  40.8577  -73.9129  \n",
       "4          0.000000              0.0        0.0  40.8181  -73.9268  "
      ]
     },
     "execution_count": 784,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(db.labels_)\n",
    "\n",
    "ny_grouped.insert(2,'dbscan_cluster_label',db.labels_)\n",
    "ny_grouped.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 795,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 795,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(set(db.labels_))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 785,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe src=\"about:blank\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" data-html=<!DOCTYPE html>
<head>    
    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
            L_DISABLE_3D = false;
        </script>
    
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
    <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
    <link rel="stylesheet" href="https://rawcdn.githack.com/python-visualization/folium/master/folium/templates/leaflet.awesome.rotate.css"/>
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_f9581da430274fa189572318e83ea45f {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_f9581da430274fa189572318e83ea45f" ></div>
        
</body>
<script>    
    
            var map_f9581da430274fa189572318e83ea45f = L.map(
                "map_f9581da430274fa189572318e83ea45f",
                {
                    center: [40.7128, -74.006],
                    crs: L.CRS.EPSG3857,
                    zoom: 6,
                    zoomControl: true,
                    preferCanvas: false,
                }
            );

            

        
    
            var tile_layer_b3899983e1d34124bcc5ada0de7c6c88 = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
                {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 18, "maxZoom": 18, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
            var circle_marker_0a37c3928f3d4aba81a2e096422d7e04 = L.circleMarker(
                [40.6924117, -73.98597075461413],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_70bed719bb5e4be38e47c42cf9d56bb1 = L.popup({"maxWidth": "100%"});

        
            var html_dcd634f4a88d4de7832d01cde4ee7023 = $(`<div id="html_dcd634f4a88d4de7832d01cde4ee7023" style="width: 100.0%; height: 100.0%;">ASA College Cluster 0</div>`)[0];
            popup_70bed719bb5e4be38e47c42cf9d56bb1.setContent(html_dcd634f4a88d4de7832d01cde4ee7023);
        

        circle_marker_0a37c3928f3d4aba81a2e096422d7e04.bindPopup(popup_70bed719bb5e4be38e47c42cf9d56bb1)
        ;

        
    
    
            var circle_marker_d4f8683b37814d2d832c3d9592bd60a2 = L.circleMarker(
                [43.35293815, -73.65337333490109],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_002b87c1a3fe4c83b818651e2f3763e7 = L.popup({"maxWidth": "100%"});

        
            var html_63eb695643074471a4c95252fefda979 = $(`<div id="html_63eb695643074471a4c95252fefda979" style="width: 100.0%; height: 100.0%;">Adirondack Community College Cluster -1</div>`)[0];
            popup_002b87c1a3fe4c83b818651e2f3763e7.setContent(html_63eb695643074471a4c95252fefda979);
        

        circle_marker_d4f8683b37814d2d832c3d9592bd60a2.bindPopup(popup_002b87c1a3fe4c83b818651e2f3763e7)
        ;

        
    
    
            var circle_marker_3c73d73c768940748e418f7b2d5964f1 = L.circleMarker(
                [40.7172487, -74.0121804],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_ab2e1e17404d4033862bdfccc2a4f8bd = L.popup({"maxWidth": "100%"});

        
            var html_3c5130df81df4974bf5c242804c7c945 = $(`<div id="html_3c5130df81df4974bf5c242804c7c945" style="width: 100.0%; height: 100.0%;">CUNY Borough of Manhattan Community College Cluster 0</div>`)[0];
            popup_ab2e1e17404d4033862bdfccc2a4f8bd.setContent(html_3c5130df81df4974bf5c242804c7c945);
        

        circle_marker_3c73d73c768940748e418f7b2d5964f1.bindPopup(popup_ab2e1e17404d4033862bdfccc2a4f8bd)
        ;

        
    
    
            var circle_marker_5aea3248eea74e249ad57fbd1c927eda = L.circleMarker(
                [40.857684649999996, -73.91289615614554],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_1d34906597c942aaa4976a62354ea95e = L.popup({"maxWidth": "100%"});

        
            var html_e3ce7b561b4b40c688feb321f1baa285 = $(`<div id="html_e3ce7b561b4b40c688feb321f1baa285" style="width: 100.0%; height: 100.0%;">CUNY Bronx Community College Cluster 0</div>`)[0];
            popup_1d34906597c942aaa4976a62354ea95e.setContent(html_e3ce7b561b4b40c688feb321f1baa285);
        

        circle_marker_5aea3248eea74e249ad57fbd1c927eda.bindPopup(popup_1d34906597c942aaa4976a62354ea95e)
        ;

        
    
    
            var circle_marker_ed93cc4729414901a11b714f458b248b = L.circleMarker(
                [40.8180719, -73.9268413875],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_1e4914c1342747a78d62fa199c566296 = L.popup({"maxWidth": "100%"});

        
            var html_401f2cc687414aec8633b2303fc13809 = $(`<div id="html_401f2cc687414aec8633b2303fc13809" style="width: 100.0%; height: 100.0%;">CUNY Hostos Community College Cluster 0</div>`)[0];
            popup_1e4914c1342747a78d62fa199c566296.setContent(html_401f2cc687414aec8633b2303fc13809);
        

        circle_marker_ed93cc4729414901a11b714f458b248b.bindPopup(popup_1e4914c1342747a78d62fa199c566296)
        ;

        
    
    
            var circle_marker_d9fdea4518204afe999fff97e65fe584 = L.circleMarker(
                [40.7463575, -73.9425968],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_9cd9246414e2428c9adbc3933933e306 = L.popup({"maxWidth": "100%"});

        
            var html_38d52231f06c4d1482bca34e97bea7ce = $(`<div id="html_38d52231f06c4d1482bca34e97bea7ce" style="width: 100.0%; height: 100.0%;">CUNY LaGuardia Community College Cluster 0</div>`)[0];
            popup_9cd9246414e2428c9adbc3933933e306.setContent(html_38d52231f06c4d1482bca34e97bea7ce);
        

        circle_marker_d9fdea4518204afe999fff97e65fe584.bindPopup(popup_9cd9246414e2428c9adbc3933933e306)
        ;

        
    
    
            var circle_marker_f45a715c67834e16a0f9fb4c07759fc1 = L.circleMarker(
                [40.6662941, -73.95836331384717],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_b551217d495849878375dd079ed6ac70 = L.popup({"maxWidth": "100%"});

        
            var html_bcf020e1dff64c99b4fe1ee3e70d18b8 = $(`<div id="html_bcf020e1dff64c99b4fe1ee3e70d18b8" style="width: 100.0%; height: 100.0%;">CUNY Medgar Evers College Cluster 0</div>`)[0];
            popup_b551217d495849878375dd079ed6ac70.setContent(html_bcf020e1dff64c99b4fe1ee3e70d18b8);
        

        circle_marker_f45a715c67834e16a0f9fb4c07759fc1.bindPopup(popup_b551217d495849878375dd079ed6ac70)
        ;

        
    
    
            var circle_marker_1b2967056306412c90d205aaf1538bca = L.circleMarker(
                [40.6952788, -73.9873073],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_e380436d1cee40f399960ad0d85facd2 = L.popup({"maxWidth": "100%"});

        
            var html_dc5ccb8ecdd540c5bd6181a41b7549d8 = $(`<div id="html_dc5ccb8ecdd540c5bd6181a41b7549d8" style="width: 100.0%; height: 100.0%;">CUNY New York City College of Technology Cluster 0</div>`)[0];
            popup_e380436d1cee40f399960ad0d85facd2.setContent(html_dc5ccb8ecdd540c5bd6181a41b7549d8);
        

        circle_marker_1b2967056306412c90d205aaf1538bca.bindPopup(popup_e380436d1cee40f399960ad0d85facd2)
        ;

        
    
    
            var circle_marker_7e7bb79d4bf44281b2e87430b509e335 = L.circleMarker(
                [40.75602515, -73.7565401216789],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_468a6a3253b44ec0bd7d877470927771 = L.popup({"maxWidth": "100%"});

        
            var html_075ae78f23304bb5b9bd879d938f1752 = $(`<div id="html_075ae78f23304bb5b9bd879d938f1752" style="width: 100.0%; height: 100.0%;">CUNY Queensborough Community College Cluster 0</div>`)[0];
            popup_468a6a3253b44ec0bd7d877470927771.setContent(html_075ae78f23304bb5b9bd879d938f1752);
        

        circle_marker_7e7bb79d4bf44281b2e87430b509e335.bindPopup(popup_468a6a3253b44ec0bd7d877470927771)
        ;

        
    
    
            var circle_marker_c030b2c07de14b5babb85cb141b4e28e = L.circleMarker(
                [42.881776599999995, -78.87262327214984],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_94a0c521238e4c1fa2a6a0ad0e99be1d = L.popup({"maxWidth": "100%"});

        
            var html_a509f879aefc46fc8a8444b8ce17e83e = $(`<div id="html_a509f879aefc46fc8a8444b8ce17e83e" style="width: 100.0%; height: 100.0%;">Erie Community College Cluster -1</div>`)[0];
            popup_94a0c521238e4c1fa2a6a0ad0e99be1d.setContent(html_a509f879aefc46fc8a8444b8ce17e83e);
        

        circle_marker_c030b2c07de14b5babb85cb141b4e28e.bindPopup(popup_94a0c521238e4c1fa2a6a0ad0e99be1d)
        ;

        
    
    
            var circle_marker_17e2ce6add694876af878093d16d0536 = L.circleMarker(
                [40.746908653061226, -73.99427475510204],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_cfc4a03f9e8240bea0d5d6e8bb6b4913 = L.popup({"maxWidth": "100%"});

        
            var html_2f8d763c4c464c3c84df5a87f5a94fa6 = $(`<div id="html_2f8d763c4c464c3c84df5a87f5a94fa6" style="width: 100.0%; height: 100.0%;">Fashion Institute of Technology Cluster 0</div>`)[0];
            popup_cfc4a03f9e8240bea0d5d6e8bb6b4913.setContent(html_2f8d763c4c464c3c84df5a87f5a94fa6);
        

        circle_marker_17e2ce6add694876af878093d16d0536.bindPopup(popup_cfc4a03f9e8240bea0d5d6e8bb6b4913)
        ;

        
    
    
            var circle_marker_61cc1748e22d4196bb0389c89cc3222e = L.circleMarker(
                [42.6964666, -73.6876308],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_6177e1cbc0f24e84a8696fd134e39fce = L.popup({"maxWidth": "100%"});

        
            var html_9526e56878eb4133ae53a124e4866787 = $(`<div id="html_9526e56878eb4133ae53a124e4866787" style="width: 100.0%; height: 100.0%;">Hudson Valley Community College Cluster -1</div>`)[0];
            popup_6177e1cbc0f24e84a8696fd134e39fce.setContent(html_9526e56878eb4133ae53a124e4866787);
        

        circle_marker_61cc1748e22d4196bb0389c89cc3222e.bindPopup(popup_6177e1cbc0f24e84a8696fd134e39fce)
        ;

        
    
    
            var circle_marker_8519d2b11d6d4de9998ad4c14e467fc6 = L.circleMarker(
                [42.113895521606025, -79.21725503718862],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_39978f2615c44d07a9b4fd3d1686c339 = L.popup({"maxWidth": "100%"});

        
            var html_56f17b5bde754a889b25044f1abce9c7 = $(`<div id="html_56f17b5bde754a889b25044f1abce9c7" style="width: 100.0%; height: 100.0%;">Jamestown Community College Cluster -1</div>`)[0];
            popup_39978f2615c44d07a9b4fd3d1686c339.setContent(html_56f17b5bde754a889b25044f1abce9c7);
        

        circle_marker_8519d2b11d6d4de9998ad4c14e467fc6.bindPopup(popup_39978f2615c44d07a9b4fd3d1686c339)
        ;

        
    
    
            var circle_marker_fe13139036884923b9a122d13342f356 = L.circleMarker(
                [43.076606, -75.21665985048875],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_b09a6b50bf6d4efc9d4c04a545dea806 = L.popup({"maxWidth": "100%"});

        
            var html_6a65d6552bbc43afa95901971327848d = $(`<div id="html_6a65d6552bbc43afa95901971327848d" style="width: 100.0%; height: 100.0%;">Mohawk Valley Community College Cluster -1</div>`)[0];
            popup_b09a6b50bf6d4efc9d4c04a545dea806.setContent(html_6a65d6552bbc43afa95901971327848d);
        

        circle_marker_fe13139036884923b9a122d13342f356.bindPopup(popup_b09a6b50bf6d4efc9d4c04a545dea806)
        ;

        
    
    
            var circle_marker_f52b153f97f0401ca5288e7d9cd86249 = L.circleMarker(
                [40.864011, -73.9003313],
                {"bubblingMouseEvents": true, "color": "#ff0000", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#ff0000", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_2b15216dc6204d28b6ba72d850dd7175 = L.popup({"maxWidth": "100%"});

        
            var html_30a75e85263c4887ad0745f987594ac1 = $(`<div id="html_30a75e85263c4887ad0745f987594ac1" style="width: 100.0%; height: 100.0%;">Monroe College Cluster 0</div>`)[0];
            popup_2b15216dc6204d28b6ba72d850dd7175.setContent(html_30a75e85263c4887ad0745f987594ac1);
        

        circle_marker_f52b153f97f0401ca5288e7d9cd86249.bindPopup(popup_2b15216dc6204d28b6ba72d850dd7175)
        ;

        
    
    
            var circle_marker_f776af9b97844bfaace16d0ff1c7b43c = L.circleMarker(
                [43.14722585, -78.87737447655854],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_0bdd22a369a6457eb8adcfff97619cee = L.popup({"maxWidth": "100%"});

        
            var html_99d76a8a3d944ebea1f0355cfde7ce2d = $(`<div id="html_99d76a8a3d944ebea1f0355cfde7ce2d" style="width: 100.0%; height: 100.0%;">Niagara County Community College Cluster -1</div>`)[0];
            popup_0bdd22a369a6457eb8adcfff97619cee.setContent(html_99d76a8a3d944ebea1f0355cfde7ce2d);
        

        circle_marker_f776af9b97844bfaace16d0ff1c7b43c.bindPopup(popup_0bdd22a369a6457eb8adcfff97619cee)
        ;

        
    
    
            var circle_marker_47ada36df9f64a1a8aff4415fceb7a3a = L.circleMarker(
                [43.00564765, -76.19734280374506],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_e1b06d1c96384ad6b5a3645cc6f2d87d = L.popup({"maxWidth": "100%"});

        
            var html_39eea3c4123c4110ba0442e6777d3dbe = $(`<div id="html_39eea3c4123c4110ba0442e6777d3dbe" style="width: 100.0%; height: 100.0%;">Onondaga Community College Cluster -1</div>`)[0];
            popup_e1b06d1c96384ad6b5a3645cc6f2d87d.setContent(html_39eea3c4123c4110ba0442e6777d3dbe);
        

        circle_marker_47ada36df9f64a1a8aff4415fceb7a3a.bindPopup(popup_e1b06d1c96384ad6b5a3645cc6f2d87d)
        ;

        
    
    
            var circle_marker_f43fe69c28d84a77bf2e5675f987cc7c = L.circleMarker(
                [41.4386372, -74.42600776186225],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_bb4695f036574647a7cecbb10d0266a7 = L.popup({"maxWidth": "100%"});

        
            var html_467a0572a0ba49febc0e8de3ecc7401f = $(`<div id="html_467a0572a0ba49febc0e8de3ecc7401f" style="width: 100.0%; height: 100.0%;">Orange County Community College Cluster -1</div>`)[0];
            popup_bb4695f036574647a7cecbb10d0266a7.setContent(html_467a0572a0ba49febc0e8de3ecc7401f);
        

        circle_marker_f43fe69c28d84a77bf2e5675f987cc7c.bindPopup(popup_bb4695f036574647a7cecbb10d0266a7)
        ;

        
    
    
            var circle_marker_1213a9f517c14e89980f4fcfbad516c2 = L.circleMarker(
                [42.1377063338942, -75.90504550530397],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_5546bfe615bf4ccbb9abc411b02eb61a = L.popup({"maxWidth": "100%"});

        
            var html_b4e203a94ce345588d191c4ceab7d7e9 = $(`<div id="html_b4e203a94ce345588d191c4ceab7d7e9" style="width: 100.0%; height: 100.0%;">SUNY Broome Community College Cluster -1</div>`)[0];
            popup_5546bfe615bf4ccbb9abc411b02eb61a.setContent(html_b4e203a94ce345588d191c4ceab7d7e9);
        

        circle_marker_1213a9f517c14e89980f4fcfbad516c2.bindPopup(popup_5546bfe615bf4ccbb9abc411b02eb61a)
        ;

        
    
    
            var circle_marker_bc07401814d44116abd29492692faa85 = L.circleMarker(
                [42.81576851724138, -73.94937124137931],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_3ab1021283b1467e9c6ec3da6fe17c16 = L.popup({"maxWidth": "100%"});

        
            var html_05ae3a2aa26f401aa59e0932b0872924 = $(`<div id="html_05ae3a2aa26f401aa59e0932b0872924" style="width: 100.0%; height: 100.0%;">Schenectady County Community College Cluster -1</div>`)[0];
            popup_3ab1021283b1467e9c6ec3da6fe17c16.setContent(html_05ae3a2aa26f401aa59e0932b0872924);
        

        circle_marker_bc07401814d44116abd29492692faa85.bindPopup(popup_3ab1021283b1467e9c6ec3da6fe17c16)
        ;

        
    
    
            var circle_marker_fdb5d301669a461bbb39fbcd7d47b977 = L.circleMarker(
                [42.50143525925926, -76.29813185185185],
                {"bubblingMouseEvents": true, "color": "#d4dd80", "dashArray": null, "dashOffset": null, "fill": true, "fillColor": "#d4dd80", "fillOpacity": 0.7, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "opacity": 1.0, "radius": 5, "stroke": true, "weight": 3}
            ).addTo(map_f9581da430274fa189572318e83ea45f);
        
    
        var popup_c28a33ef77b5493ba1a65e8d78ac3817 = L.popup({"maxWidth": "100%"});

        
            var html_754bb8fe01414ab6a98feb7e378343a8 = $(`<div id="html_754bb8fe01414ab6a98feb7e378343a8" style="width: 100.0%; height: 100.0%;">Tompkins Cortland Community College Cluster -1</div>`)[0];
            popup_c28a33ef77b5493ba1a65e8d78ac3817.setContent(html_754bb8fe01414ab6a98feb7e378343a8);
        

        circle_marker_fdb5d301669a461bbb39fbcd7d47b977.bindPopup(popup_c28a33ef77b5493ba1a65e8d78ac3817)
        ;

        
    
</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 0x202256dac88>"
      ]
     },
     "execution_count": 785,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m3 = folium.Map(location = [40.7128, -74.0060],zoom_start = 6)\n",
    "\n",
    "# set color scheme for the clusters\n",
    "x = np.arange(4)\n",
    "ys = [i + x + (i*x)**2 for i in range(4)]\n",
    "colors_array = cm.rainbow(np.linspace(0, 1, len(ys)))\n",
    "rainbow = [colors.rgb2hex(i) for i in colors_array]\n",
    "\n",
    "\n",
    "for lat,lng,col,cluster in zip(ny_grouped['Latitude'],ny_grouped['Longitude'],ny_grouped['College'],ny_grouped['dbscan_cluster_label']):\n",
    "    label = folium.Popup(col + ' Cluster ' + str(cluster), parse_html = True)\n",
    "    folium.CircleMarker(\n",
    "    [lat,lng],\n",
    "    radius=5,\n",
    "    popup=label,\n",
    "    color=rainbow[cluster-1],\n",
    "    fill=True,\n",
    "    fill_color=rainbow[cluster-1],\n",
    "    fill_opacity=0.7).add_to(m3)\n",
    "    \n",
    "m3  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### If the builder is looking at constructing just one student hostel in all of New York, then DBSCAN would be the better algorithm.\n",
    "\n",
    "#### The algorithm shows a high denisty area in the Manhattan region. Based on this, a hostel around Central Park region would be extremely profitable to the builder. It would also benefit the the students since there is a high density of colleges in this vicinity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}