ChicagoCommunityAnalysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import necessary Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Folium installed\n",
      "Libraries imported.\n"
     ]
    }
   ],
   "source": [
    "#!conda install -c conda-forge geopy --yes \n",
    "from geopy.geocoders import Nominatim # module to convert an address into latitude and longitude values\n",
    "import requests # library to handle requests\n",
    "import pandas as pd # library for data analsysis\n",
    "import numpy as np # library to handle data in a vectorized manner\n",
    "import random # library for random number generation\n",
    "\n",
    "# libraries for displaying images\n",
    "from IPython.display import Image \n",
    "from IPython.core.display import HTML \n",
    "    \n",
    "# tranforming json file into a pandas dataframe library\n",
    "from pandas.io.json import json_normalize\n",
    "\n",
    "#!conda install -c conda-forge folium=0.5.0 --yes\n",
    "import folium # plotting library\n",
    "\n",
    "print('Folium installed')\n",
    "print('Libraries imported.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All datasets were already downloaded and stored in the IBM Db2 database. We need to first get all the data for further analysis."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Connect to the database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Connected: lsp45830@BLUDB'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%load_ext sql\n",
    "%sql ibm_db_sa://"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Retreive data from the database"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://lsp45830:***@dashdb-txn-sbox-yp-dal09-03.services.dal.bluemix.net:50000/BLUDB\n",
      "Done.\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Community_Area_Number</th>\n",
       "      <th>community_area_name</th>\n",
       "      <th>percent_of_housing_crowded</th>\n",
       "      <th>percent_households_below_poverty</th>\n",
       "      <th>percent_aged_16__unemployed</th>\n",
       "      <th>percent_aged_25__without_high_school_diploma</th>\n",
       "      <th>percent_aged_under_18_or_over_64</th>\n",
       "      <th>per_capita_income</th>\n",
       "      <th>hardship_index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1.0</td>\n",
       "      <td>Rogers Park</td>\n",
       "      <td>7.7</td>\n",
       "      <td>23.6</td>\n",
       "      <td>8.7</td>\n",
       "      <td>18.2</td>\n",
       "      <td>27.5</td>\n",
       "      <td>23939</td>\n",
       "      <td>39.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.0</td>\n",
       "      <td>West Ridge</td>\n",
       "      <td>7.8</td>\n",
       "      <td>17.2</td>\n",
       "      <td>8.8</td>\n",
       "      <td>20.8</td>\n",
       "      <td>38.5</td>\n",
       "      <td>23040</td>\n",
       "      <td>46.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>Uptown</td>\n",
       "      <td>3.8</td>\n",
       "      <td>24.0</td>\n",
       "      <td>8.9</td>\n",
       "      <td>11.8</td>\n",
       "      <td>22.2</td>\n",
       "      <td>35787</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>Lincoln Square</td>\n",
       "      <td>3.4</td>\n",
       "      <td>10.9</td>\n",
       "      <td>8.2</td>\n",
       "      <td>13.4</td>\n",
       "      <td>25.5</td>\n",
       "      <td>37524</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>North Center</td>\n",
       "      <td>0.3</td>\n",
       "      <td>7.5</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>26.2</td>\n",
       "      <td>57123</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Community_Area_Number community_area_name percent_of_housing_crowded  \\\n",
       "0                    1.0         Rogers Park                        7.7   \n",
       "1                    2.0          West Ridge                        7.8   \n",
       "2                    3.0              Uptown                        3.8   \n",
       "3                    4.0      Lincoln Square                        3.4   \n",
       "4                    5.0        North Center                        0.3   \n",
       "\n",
       "  percent_households_below_poverty percent_aged_16__unemployed  \\\n",
       "0                             23.6                         8.7   \n",
       "1                             17.2                         8.8   \n",
       "2                             24.0                         8.9   \n",
       "3                             10.9                         8.2   \n",
       "4                              7.5                         5.2   \n",
       "\n",
       "  percent_aged_25__without_high_school_diploma  \\\n",
       "0                                         18.2   \n",
       "1                                         20.8   \n",
       "2                                         11.8   \n",
       "3                                         13.4   \n",
       "4                                          4.5   \n",
       "\n",
       "  percent_aged_under_18_or_over_64  per_capita_income  hardship_index  \n",
       "0                             27.5              23939            39.0  \n",
       "1                             38.5              23040            46.0  \n",
       "2                             22.2              35787            20.0  \n",
       "3                             25.5              37524            17.0  \n",
       "4                             26.2              57123             6.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res = %sql SELECT * FROM CENSUS_DATA;\n",
    "\n",
    "#retrieve the query results into a pandas dataframe\n",
    "df_census = res.DataFrame()\n",
    "df_census.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://lsp45830:***@dashdb-txn-sbox-yp-dal09-03.services.dal.bluemix.net:50000/BLUDB\n",
      "Done.\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>School_ID</th>\n",
       "      <th>Name_of_School</th>\n",
       "      <th>Elementary, Middle, or High School</th>\n",
       "      <th>Street_Address</th>\n",
       "      <th>City</th>\n",
       "      <th>State</th>\n",
       "      <th>ZIP_Code</th>\n",
       "      <th>Phone_Number</th>\n",
       "      <th>Link</th>\n",
       "      <th>Network_Manager</th>\n",
       "      <th>...</th>\n",
       "      <th>RCDTS_Code</th>\n",
       "      <th>x_coordinate</th>\n",
       "      <th>y_coordinate</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Community_Area_Number</th>\n",
       "      <th>Community_Area_Name</th>\n",
       "      <th>Ward</th>\n",
       "      <th>Police_District</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>610038</td>\n",
       "      <td>Abraham Lincoln Elementary School</td>\n",
       "      <td>ES</td>\n",
       "      <td>615 W Kemper Pl</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60614</td>\n",
       "      <td>(773) 534-5720</td>\n",
       "      <td>http://schoolreports.cps.edu/SchoolProgressRep...</td>\n",
       "      <td>Fullerton Elementary Network</td>\n",
       "      <td>...</td>\n",
       "      <td>150000000000000</td>\n",
       "      <td>1171699.458</td>\n",
       "      <td>1915829.428</td>\n",
       "      <td>41.92449696</td>\n",
       "      <td>-87.64452163</td>\n",
       "      <td>7</td>\n",
       "      <td>LINCOLN PARK</td>\n",
       "      <td>43</td>\n",
       "      <td>18</td>\n",
       "      <td>(41.92449696, -87.64452163)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>610281</td>\n",
       "      <td>Adam Clayton Powell Paideia Community Academy ...</td>\n",
       "      <td>ES</td>\n",
       "      <td>7511 S South Shore Dr</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60649</td>\n",
       "      <td>(773) 535-6650</td>\n",
       "      <td>http://schoolreports.cps.edu/SchoolProgressRep...</td>\n",
       "      <td>Skyway Elementary Network</td>\n",
       "      <td>...</td>\n",
       "      <td>150000000000000</td>\n",
       "      <td>1196129.985</td>\n",
       "      <td>1856209.466</td>\n",
       "      <td>41.76032435</td>\n",
       "      <td>-87.55673627</td>\n",
       "      <td>43</td>\n",
       "      <td>SOUTH SHORE</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>(41.76032435, -87.55673627)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>610185</td>\n",
       "      <td>Adlai E Stevenson Elementary School</td>\n",
       "      <td>ES</td>\n",
       "      <td>8010 S Kostner Ave</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60652</td>\n",
       "      <td>(773) 535-2280</td>\n",
       "      <td>http://schoolreports.cps.edu/SchoolProgressRep...</td>\n",
       "      <td>Midway Elementary Network</td>\n",
       "      <td>...</td>\n",
       "      <td>150000000000000</td>\n",
       "      <td>1148427.165</td>\n",
       "      <td>1851012.215</td>\n",
       "      <td>41.74711093</td>\n",
       "      <td>-87.73170248</td>\n",
       "      <td>70</td>\n",
       "      <td>ASHBURN</td>\n",
       "      <td>13</td>\n",
       "      <td>8</td>\n",
       "      <td>(41.74711093, -87.73170248)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>609993</td>\n",
       "      <td>Agustin Lara Elementary Academy</td>\n",
       "      <td>ES</td>\n",
       "      <td>4619 S Wolcott Ave</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60609</td>\n",
       "      <td>(773) 535-4389</td>\n",
       "      <td>http://schoolreports.cps.edu/SchoolProgressRep...</td>\n",
       "      <td>Pershing Elementary Network</td>\n",
       "      <td>...</td>\n",
       "      <td>150000000000000</td>\n",
       "      <td>1164504.290</td>\n",
       "      <td>1873959.199</td>\n",
       "      <td>41.80975690</td>\n",
       "      <td>-87.67214460</td>\n",
       "      <td>61</td>\n",
       "      <td>NEW CITY</td>\n",
       "      <td>20</td>\n",
       "      <td>9</td>\n",
       "      <td>(41.8097569, -87.6721446)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>610513</td>\n",
       "      <td>Air Force Academy High School</td>\n",
       "      <td>HS</td>\n",
       "      <td>3630 S Wells St</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60609</td>\n",
       "      <td>(773) 535-1590</td>\n",
       "      <td>http://schoolreports.cps.edu/SchoolProgressRep...</td>\n",
       "      <td>Southwest Side High School Network</td>\n",
       "      <td>...</td>\n",
       "      <td>150000000000000</td>\n",
       "      <td>1175177.622</td>\n",
       "      <td>1880745.126</td>\n",
       "      <td>41.82814609</td>\n",
       "      <td>-87.63279369</td>\n",
       "      <td>34</td>\n",
       "      <td>ARMOUR SQUARE</td>\n",
       "      <td>11</td>\n",
       "      <td>9</td>\n",
       "      <td>(41.82814609, -87.63279369)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 79 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   School_ID                                     Name_of_School  \\\n",
       "0     610038                  Abraham Lincoln Elementary School   \n",
       "1     610281  Adam Clayton Powell Paideia Community Academy ...   \n",
       "2     610185                Adlai E Stevenson Elementary School   \n",
       "3     609993                    Agustin Lara Elementary Academy   \n",
       "4     610513                      Air Force Academy High School   \n",
       "\n",
       "  Elementary, Middle, or High School         Street_Address     City State  \\\n",
       "0                                 ES        615 W Kemper Pl  Chicago    IL   \n",
       "1                                 ES  7511 S South Shore Dr  Chicago    IL   \n",
       "2                                 ES     8010 S Kostner Ave  Chicago    IL   \n",
       "3                                 ES     4619 S Wolcott Ave  Chicago    IL   \n",
       "4                                 HS        3630 S Wells St  Chicago    IL   \n",
       "\n",
       "   ZIP_Code    Phone_Number  \\\n",
       "0     60614  (773) 534-5720   \n",
       "1     60649  (773) 535-6650   \n",
       "2     60652  (773) 535-2280   \n",
       "3     60609  (773) 535-4389   \n",
       "4     60609  (773) 535-1590   \n",
       "\n",
       "                                                Link  \\\n",
       "0  http://schoolreports.cps.edu/SchoolProgressRep...   \n",
       "1  http://schoolreports.cps.edu/SchoolProgressRep...   \n",
       "2  http://schoolreports.cps.edu/SchoolProgressRep...   \n",
       "3  http://schoolreports.cps.edu/SchoolProgressRep...   \n",
       "4  http://schoolreports.cps.edu/SchoolProgressRep...   \n",
       "\n",
       "                      Network_Manager             ...               \\\n",
       "0        Fullerton Elementary Network             ...                \n",
       "1           Skyway Elementary Network             ...                \n",
       "2           Midway Elementary Network             ...                \n",
       "3         Pershing Elementary Network             ...                \n",
       "4  Southwest Side High School Network             ...                \n",
       "\n",
       "        RCDTS_Code x_coordinate y_coordinate     Latitude     Longitude  \\\n",
       "0  150000000000000  1171699.458  1915829.428  41.92449696  -87.64452163   \n",
       "1  150000000000000  1196129.985  1856209.466  41.76032435  -87.55673627   \n",
       "2  150000000000000  1148427.165  1851012.215  41.74711093  -87.73170248   \n",
       "3  150000000000000  1164504.290  1873959.199  41.80975690  -87.67214460   \n",
       "4  150000000000000  1175177.622  1880745.126  41.82814609  -87.63279369   \n",
       "\n",
       "  Community_Area_Number Community_Area_Name  Ward Police_District  \\\n",
       "0                     7        LINCOLN PARK    43              18   \n",
       "1                    43         SOUTH SHORE     7               4   \n",
       "2                    70             ASHBURN    13               8   \n",
       "3                    61            NEW CITY    20               9   \n",
       "4                    34       ARMOUR SQUARE    11               9   \n",
       "\n",
       "                      Location  \n",
       "0  (41.92449696, -87.64452163)  \n",
       "1  (41.76032435, -87.55673627)  \n",
       "2  (41.74711093, -87.73170248)  \n",
       "3    (41.8097569, -87.6721446)  \n",
       "4  (41.82814609, -87.63279369)  \n",
       "\n",
       "[5 rows x 79 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sql query for Public Schools\n",
    "res = %sql SELECT * FROM CHICAGO_PUBLIC_SCHOOLS;\n",
    "\n",
    "#retrieve the query results into a pandas dataframe\n",
    "df_schools = res.DataFrame()\n",
    "df_schools.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://lsp45830:***@dashdb-txn-sbox-yp-dal09-03.services.dal.bluemix.net:50000/BLUDB\n",
      "Done.\n"
     ]
    },
    {
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       "      <th>id</th>\n",
       "      <th>Case_Number</th>\n",
       "      <th>Date</th>\n",
       "      <th>Block</th>\n",
       "      <th>iucr</th>\n",
       "      <th>Primary_Type</th>\n",
       "      <th>Description</th>\n",
       "      <th>Location_Description</th>\n",
       "      <th>Arrest</th>\n",
       "      <th>Domestic</th>\n",
       "      <th>...</th>\n",
       "      <th>Ward</th>\n",
       "      <th>Community_Area</th>\n",
       "      <th>FBI_Code</th>\n",
       "      <th>X_Coordinate</th>\n",
       "      <th>Y_Coordinate</th>\n",
       "      <th>Year</th>\n",
       "      <th>Updated_On</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>3512276</td>\n",
       "      <td>HK587712</td>\n",
       "      <td>08/28/2004 05:50:56 PM</td>\n",
       "      <td>047XX S KEDZIE AVE</td>\n",
       "      <td>0890</td>\n",
       "      <td>THEFT</td>\n",
       "      <td>FROM BUILDING</td>\n",
       "      <td>SMALL RETAIL STORE</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>14.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>06</td>\n",
       "      <td>1155838.0</td>\n",
       "      <td>1873050.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>02/10/2018 03:50:01 PM</td>\n",
       "      <td>41.807440500000006</td>\n",
       "      <td>-87.70395584900000</td>\n",
       "      <td>(41.8074405, -87.703955849)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3406613</td>\n",
       "      <td>HK456306</td>\n",
       "      <td>06/26/2004 12:40:00 PM</td>\n",
       "      <td>009XX N CENTRAL PARK AVE</td>\n",
       "      <td>0820</td>\n",
       "      <td>THEFT</td>\n",
       "      <td>$500 AND UNDER</td>\n",
       "      <td>OTHER</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>27.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>06</td>\n",
       "      <td>1152206.0</td>\n",
       "      <td>1906127.0</td>\n",
       "      <td>2004</td>\n",
       "      <td>02/28/2018 03:56:25 PM</td>\n",
       "      <td>41.898279962</td>\n",
       "      <td>-87.71640550500000</td>\n",
       "      <td>(41.898279962, -87.716405505)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8002131</td>\n",
       "      <td>HT233595</td>\n",
       "      <td>04/04/2011 05:45:00 AM</td>\n",
       "      <td>043XX S WABASH AVE</td>\n",
       "      <td>0820</td>\n",
       "      <td>THEFT</td>\n",
       "      <td>$500 AND UNDER</td>\n",
       "      <td>NURSING HOME/RETIREMENT HOME</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>06</td>\n",
       "      <td>1177436.0</td>\n",
       "      <td>1876313.0</td>\n",
       "      <td>2011</td>\n",
       "      <td>02/10/2018 03:50:01 PM</td>\n",
       "      <td>41.815933131</td>\n",
       "      <td>-87.62464212700000</td>\n",
       "      <td>(41.815933131, -87.624642127)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7903289</td>\n",
       "      <td>HT133522</td>\n",
       "      <td>12/30/2010 04:30:00 PM</td>\n",
       "      <td>083XX S KINGSTON AVE</td>\n",
       "      <td>0840</td>\n",
       "      <td>THEFT</td>\n",
       "      <td>FINANCIAL ID THEFT: OVER $300</td>\n",
       "      <td>RESIDENCE</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>7.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>06</td>\n",
       "      <td>1194622.0</td>\n",
       "      <td>1850125.0</td>\n",
       "      <td>2010</td>\n",
       "      <td>02/10/2018 03:50:01 PM</td>\n",
       "      <td>41.743665322</td>\n",
       "      <td>-87.56246275600000</td>\n",
       "      <td>(41.743665322, -87.562462756)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>10402076</td>\n",
       "      <td>HZ138551</td>\n",
       "      <td>02/02/2016 07:30:00 PM</td>\n",
       "      <td>033XX W 66TH ST</td>\n",
       "      <td>0820</td>\n",
       "      <td>THEFT</td>\n",
       "      <td>$500 AND UNDER</td>\n",
       "      <td>ALLEY</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>15.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>06</td>\n",
       "      <td>1155240.0</td>\n",
       "      <td>1860661.0</td>\n",
       "      <td>2016</td>\n",
       "      <td>02/10/2018 03:50:01 PM</td>\n",
       "      <td>41.773455295</td>\n",
       "      <td>-87.70648047100000</td>\n",
       "      <td>(41.773455295, -87.706480471)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         id Case_Number                    Date                     Block  \\\n",
       "0   3512276    HK587712  08/28/2004 05:50:56 PM        047XX S KEDZIE AVE   \n",
       "1   3406613    HK456306  06/26/2004 12:40:00 PM  009XX N CENTRAL PARK AVE   \n",
       "2   8002131    HT233595  04/04/2011 05:45:00 AM        043XX S WABASH AVE   \n",
       "3   7903289    HT133522  12/30/2010 04:30:00 PM      083XX S KINGSTON AVE   \n",
       "4  10402076    HZ138551  02/02/2016 07:30:00 PM           033XX W 66TH ST   \n",
       "\n",
       "   iucr Primary_Type                    Description  \\\n",
       "0  0890        THEFT                  FROM BUILDING   \n",
       "1  0820        THEFT                 $500 AND UNDER   \n",
       "2  0820        THEFT                 $500 AND UNDER   \n",
       "3  0840        THEFT  FINANCIAL ID THEFT: OVER $300   \n",
       "4  0820        THEFT                 $500 AND UNDER   \n",
       "\n",
       "           Location_Description Arrest Domestic  \\\n",
       "0            SMALL RETAIL STORE  False    False   \n",
       "1                         OTHER  False    False   \n",
       "2  NURSING HOME/RETIREMENT HOME  False    False   \n",
       "3                     RESIDENCE  False    False   \n",
       "4                         ALLEY  False    False   \n",
       "\n",
       "               ...                Ward Community_Area FBI_Code X_Coordinate  \\\n",
       "0              ...                14.0           58.0       06    1155838.0   \n",
       "1              ...                27.0           23.0       06    1152206.0   \n",
       "2              ...                 3.0           38.0       06    1177436.0   \n",
       "3              ...                 7.0           46.0       06    1194622.0   \n",
       "4              ...                15.0           66.0       06    1155240.0   \n",
       "\n",
       "  Y_Coordinate  Year              Updated_On            Latitude  \\\n",
       "0    1873050.0  2004  02/10/2018 03:50:01 PM  41.807440500000006   \n",
       "1    1906127.0  2004  02/28/2018 03:56:25 PM        41.898279962   \n",
       "2    1876313.0  2011  02/10/2018 03:50:01 PM        41.815933131   \n",
       "3    1850125.0  2010  02/10/2018 03:50:01 PM        41.743665322   \n",
       "4    1860661.0  2016  02/10/2018 03:50:01 PM        41.773455295   \n",
       "\n",
       "            Longitude                       Location  \n",
       "0  -87.70395584900000    (41.8074405, -87.703955849)  \n",
       "1  -87.71640550500000  (41.898279962, -87.716405505)  \n",
       "2  -87.62464212700000  (41.815933131, -87.624642127)  \n",
       "3  -87.56246275600000  (41.743665322, -87.562462756)  \n",
       "4  -87.70648047100000  (41.773455295, -87.706480471)  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sql query for Crime Data\n",
    "res = %sql SELECT * FROM CHICAGO_CRIME_DATA;\n",
    "\n",
    "#retrieve the query results into a pandas dataframe\n",
    "df_crime = res.DataFrame()\n",
    "df_crime.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's visualize crime in some communities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Community_Area_Number     int64\n",
       "Community_Area_Name      object\n",
       "dtype: object"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_community = df_schools[['Community_Area_Number', 'Community_Area_Name']].drop_duplicates()\n",
    "df_community.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                        int64\n",
       "Case_Number              object\n",
       "Date                     object\n",
       "Block                    object\n",
       "iucr                     object\n",
       "Primary_Type             object\n",
       "Description              object\n",
       "Location_Description     object\n",
       "Arrest                   object\n",
       "Domestic                 object\n",
       "Beat                      int64\n",
       "District                float64\n",
       "Ward                    float64\n",
       "Community_Area          float64\n",
       "FBI_Code                 object\n",
       "X_Coordinate            float64\n",
       "Y_Coordinate            float64\n",
       "Year                      int64\n",
       "Updated_On               object\n",
       "Latitude                float64\n",
       "Longitude               float64\n",
       "Location                 object\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert some object columns to float\n",
    "df_crime.dropna(inplace=True)\n",
    "df_crime = df_crime.apply(pd.to_numeric, errors='ignore')\n",
    "df_crime.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Community_Area_Name\n",
       "WEST GARFIELD PARK        10\n",
       "BRIGHTON PARK             10\n",
       "LAKE VIEW                 11\n",
       "ROSELAND                  11\n",
       "GREATER GRAND CROSSING    11\n",
       "WEST ENGLEWOOD            12\n",
       "CHICAGO LAWN              12\n",
       "WEST TOWN                 13\n",
       "AUBURN GRESHAM            14\n",
       "NEAR NORTH SIDE           15\n",
       "NEAR WEST SIDE            16\n",
       "NORTH LAWNDALE            16\n",
       "ENGLEWOOD                 21\n",
       "HUMBOLDT PARK             21\n",
       "AUSTIN                    42\n",
       "Name: Count, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Group by Community_Area and count the number of crime\n",
    "df_grouped = df_crime\n",
    "df_grouped = df_grouped.groupby('Community_Area', as_index=False)['Community_Area'].agg({\"Count\":\"count\"})\n",
    "\n",
    "# get Community_Area_Name\n",
    "df_grouped.rename(columns={'Community_Area':'Community_Area_Number'}, inplace=True) \n",
    "df_grouped = pd.merge(df_grouped, \n",
    "                      df_community,\n",
    "                      how='left',\n",
    "                      on = ['Community_Area_Number']).drop(['Community_Area_Number'], axis=1)\n",
    "\n",
    "# sort dataframe on 'Count' column (descending)\n",
    "df_top15 = df_grouped.set_index(['Community_Area_Name'])\n",
    "df_top15.sort_values(by='Count', ascending=True, inplace=True)\n",
    "\n",
    "# get top 15 areas\n",
    "df_top15 = df_top15['Count'].tail(15)\n",
    "df_top15"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Matplotlib version:  2.2.3\n"
     ]
    }
   ],
   "source": [
    "# use the inline backend to generate the plots within the browser\n",
    "%matplotlib inline \n",
    "\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "mpl.style.use('ggplot') # optional: for ggplot-like style\n",
    "\n",
    "# check for latest version of Matplotlib\n",
    "print ('Matplotlib version: ', mpl.__version__) # >= 2.0.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_top15.plot(kind='barh', figsize=(12, 12), color='steelblue')\n",
    "plt.xlabel('Number of crimes')\n",
    "plt.title('Top 15 areas with crimes')\n",
    "\n",
    "# annotate value labels to each country\n",
    "for index, value in enumerate(df_top15): \n",
    "    label = str(value) # format int with commas\n",
    "    \n",
    "    # place text at the end of bar (subtracting 47000 from x, and 0.1 from y to make it fit within the bar)\n",
    "    plt.annotate(label, xy=(value - 1.2, index - 0.10), color='white')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    Count Community_Area_Name\n",
      "30      1     NEAR SOUTH SIDE\n",
      "67      1         MORGAN PARK\n",
      "41      1            BURNSIDE\n",
      "53      1          BRIDGEPORT\n",
      "49      1           HEGEWISCH\n",
      "10      1         FOREST GLEN\n",
      "35      2           HYDE PARK\n",
      "15      2           MONTCLARE\n",
      "46      2           EAST SIDE\n",
      "48      2           RIVERDALE\n",
      "69      2           EDGEWATER\n",
      "50      2      GARFIELD RIDGE\n",
      "52      2       MCKINLEY PARK\n",
      "57      2            CLEARING\n",
      "32      2         FULLER PARK\n"
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     "name": "stderr",
     "output_type": "stream",
     "text": [
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      "  UserWarning\n"
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    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "    index Community_Area_Name   Latitude   Longitude\n",
      "0      30     NEAR SOUTH SIDE  41.856700  -87.624774\n",
      "1      67         MORGAN PARK  41.690312  -87.666716\n",
      "2      41            BURNSIDE -34.944479  138.647266\n",
      "3      53          BRIDGEPORT  41.167041  -73.204835\n",
      "4      49           HEGEWISCH  41.653646  -87.546988\n",
      "5      10         FOREST GLEN  44.087959  -65.923618\n",
      "6      35           HYDE PARK  51.507489   -0.162195\n",
      "7      15           MONTCLARE  41.925309  -87.800893\n",
      "8      46           EAST SIDE  41.100614  -80.636741\n",
      "9      48           RIVERDALE  41.544478  -90.458188\n",
      "10     69           EDGEWATER  40.827045  -73.975694\n",
      "11     50      GARFIELD RIDGE  41.803617  -87.745494\n",
      "12     52       MCKINLEY PARK  41.831700  -87.673664\n",
      "13     57            CLEARING  41.780588  -87.773388\n",
      "14     32         FULLER PARK  41.818089  -87.632551\n"
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   "source": [
    "df_top15 = df_grouped.copy()\n",
    "df_top15.sort_values(by='Count', ascending=True, inplace=True)\n",
    "\n",
    "# get top 15 areas\n",
    "df_top15 = df_top15.head(15)\n",
    "print(df_top15)\n",
    "\n",
    "lats = []\n",
    "longs = []\n",
    "geolocator = Nominatim()\n",
    "for area in df_top15.loc[:,'Community_Area_Name']:\n",
    "    location = geolocator.geocode(area)\n",
    "    lats.append(location.latitude)\n",
    "    longs.append(location.longitude) \n",
    "\n",
    "df_top15['Latitude'] = lats\n",
    "df_top15['Longitude'] = longs\n",
    "df_top15.drop(['Count'], axis=1, inplace=True)\n",
    "df_top15.reset_index(inplace=True)\n",
    "print(df_top15)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'numpy.float64'>\n"
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                var html_91b562514eea44e9a2f1c2dac406f04a = $('<div id="html_91b562514eea44e9a2f1c2dac406f04a" style="width: 100.0%; height: 100.0%;">MCKINLEY PARK</div>')[0];
                popup_f5b00d595e1b4ec5b7e202c93f75034f.setContent(html_91b562514eea44e9a2f1c2dac406f04a);
            

            circle_marker_85e51e9b7e5d422284447c35fc96ab9a.bindPopup(popup_f5b00d595e1b4ec5b7e202c93f75034f);

            
        
    
            var circle_marker_b51967b5a0f142ccab3035c445cb6c48 = L.circleMarker(
                [41.780588,-87.7733881],
                {
  "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_b877df205d9e42518ab0726eed4086f7);
            
    
            var popup_2eafa5b9e2854f739c98d8caceca30b0 = L.popup({maxWidth: '300'});

            
                var html_7b6921d3a6344ce9a28d19fd3263144d = $('<div id="html_7b6921d3a6344ce9a28d19fd3263144d" style="width: 100.0%; height: 100.0%;">CLEARING</div>')[0];
                popup_2eafa5b9e2854f739c98d8caceca30b0.setContent(html_7b6921d3a6344ce9a28d19fd3263144d);
            

            circle_marker_b51967b5a0f142ccab3035c445cb6c48.bindPopup(popup_2eafa5b9e2854f739c98d8caceca30b0);

            
        
    
            var circle_marker_c2c05fee7da24205a4e529ca256c5a48 = L.circleMarker(
                [41.8180891,-87.6325508],
                {
  "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_b877df205d9e42518ab0726eed4086f7);
            
    
            var popup_c3df59cfd2584bff98602ecb4673a65d = L.popup({maxWidth: '300'});

            
                var html_e3d964f022054c66a4e0560ca0f52f28 = $('<div id="html_e3d964f022054c66a4e0560ca0f52f28" style="width: 100.0%; height: 100.0%;">FULLER PARK</div>')[0];
                popup_c3df59cfd2584bff98602ecb4673a65d.setContent(html_e3d964f022054c66a4e0560ca0f52f28);
            

            circle_marker_c2c05fee7da24205a4e529ca256c5a48.bindPopup(popup_c3df59cfd2584bff98602ecb4673a65d);

            
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7fccaa314860>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create map of top 15 crime areas in Chicago using latitude and longitude values\n",
    "latitude = df_top15.loc[0, 'Latitude']\n",
    "longitude = df_top15.loc[0, 'Longitude']\n",
    "print(type(latitude))\n",
    "map_crime = folium.Map(location=[latitude, longitude], zoom_start=12)\n",
    "\n",
    "# add markers to map\n",
    "for lat, lng, label in zip(df_top15['Latitude'], df_top15['Longitude'], df_top15['Community_Area_Name']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='blue',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_crime)  \n",
    "\n",
    "'''\n",
    "for lat, lng, label in zip(healthy_schools['Latitude'], healthy_schools['Longitude'], healthy_schools['Community_Area_Number']):\n",
    "    label = folium.Popup(label, parse_html=True)\n",
    "    folium.CircleMarker(\n",
    "        [lat, lng],\n",
    "        radius=5,\n",
    "        popup=label,\n",
    "        color='red',\n",
    "        fill=True,\n",
    "        fill_color='#3186cc',\n",
    "        fill_opacity=0.7,\n",
    "        parse_html=False).add_to(map_crime)    '''\n",
    "map_crime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's find top 10 community by number of puclic schoools"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://lsp45830:***@dashdb-txn-sbox-yp-dal09-03.services.dal.bluemix.net:50000/BLUDB\n",
      "Done.\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>Number of Schools</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Community_Area_Name</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AUSTIN</th>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SOUTH LAWNDALE</th>\n",
       "      <td>22.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>WEST TOWN</th>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ENGLEWOOD</th>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEAR WEST SIDE</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NORTH LAWNDALE</th>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>EAST GARFIELD PARK</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ROSELAND</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NEW CITY</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HUMBOLDT PARK</th>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Number of Schools\n",
       "Community_Area_Name                   \n",
       "AUSTIN                            23.0\n",
       "SOUTH LAWNDALE                    22.0\n",
       "WEST TOWN                         20.0\n",
       "ENGLEWOOD                         17.0\n",
       "NEAR WEST SIDE                    16.0\n",
       "NORTH LAWNDALE                    16.0\n",
       "EAST GARFIELD PARK                13.0\n",
       "ROSELAND                          13.0\n",
       "NEW CITY                          13.0\n",
       "HUMBOLDT PARK                     13.0"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Top 10 community by number of puclic schoools\n",
    "res = %sql SELECT \"Community_Area_Name\",\\\n",
    "        COUNT(\"Elementary, Middle, or High School\") AS \"Number of Schools\" FROM \"CHICAGO_PUBLIC_SCHOOLS\"\\\n",
    "        GROUP BY \"Community_Area_Name\"\\\n",
    "        ORDER BY \"Number of Schools\" DESC\\\n",
    "        LIMIT 10;\n",
    "community_top10 = res.DataFrame()\n",
    "community_top10 = community_top10.apply(pd.to_numeric, errors='ignore')\n",
    "community_top10.set_index(['Community_Area_Name'], inplace=True)\n",
    "community_top10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_top10 = community_top10['Number of Schools']\n",
    "\n",
    "df_top10.plot(kind='barh', figsize=(12, 12), color='steelblue')\n",
    "\n",
    "# annotate value labels to each country\n",
    "for index, value in enumerate(df_top10): \n",
    "    label = format(int(value), ',') # format int with commas\n",
    "    \n",
    "    # place text at the end of bar (subtracting 47000 from x, and 0.1 from y to make it fit within the bar)\n",
    "    plt.annotate(label, xy=(value - 1.2, index - 0.10), color='white')\n",
    "\n",
    "plt.xlabel('Number of schools')\n",
    "plt.title('Top 10 community with the most number of schools')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It seems to be that SOUTH LAWNDALE is a community with a good number of schools and the lowest number of crime as well. We could analysis it's venues furthure thanks to Foursquare"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's explore SOUTH LAWNDALE \t"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Define Foursquare Credentials and Version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "CLIENT_ID = '' # your Foursquare ID\n",
    "CLIENT_SECRET = '' # your Foursquare Secret\n",
    "VERSION = '20180604'\n",
    "LIMIT = 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Use geopy library to get the latitude and longitude values of SOUTH LAWNDALE"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The geograpical coordinate of SOUTH LAWNDALE are 41.8436437, -87.7125544.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/biosys/anaconda3/lib/python3.6/site-packages/geopy/geocoders/osm.py:143: UserWarning: Using Nominatim with the default \"geopy/1.17.0\" `user_agent` is strongly discouraged, as it violates Nominatim's ToS https://operations.osmfoundation.org/policies/nominatim/ and may possibly cause 403 and 429 HTTP errors. Please specify a custom `user_agent` with `Nominatim(user_agent=\"my-application\")` or by overriding the default `user_agent`: `geopy.geocoders.options.default_user_agent = \"my-application\"`. In geopy 2.0 this will become an exception.\n",
      "  UserWarning\n"
     ]
    }
   ],
   "source": [
    "address = 'SOUTH LAWNDALE'\n",
    "\n",
    "geolocator = Nominatim()\n",
    "location = geolocator.geocode(address)\n",
    "latitude = location.latitude\n",
    "longitude = location.longitude\n",
    "print('The geograpical coordinate of SOUTH LAWNDALE are {}, {}.'.format(latitude, longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNearbyVenues(names, latitudes, longitudes, radius=1000):\n",
    "    \n",
    "    venues_list=[]\n",
    "    for name, lat, lng in zip(names, latitudes, longitudes):\n",
    "        print(name)\n",
    "            \n",
    "        # create the API request URL\n",
    "        url = 'https://api.foursquare.com/v2/venues/explore?&client_id={}&client_secret={}&v={}&ll={},{}&radius={}&limit={}'.format(\n",
    "            CLIENT_ID, \n",
    "            CLIENT_SECRET, \n",
    "            VERSION, \n",
    "            lat, \n",
    "            lng, \n",
    "            radius, \n",
    "            LIMIT)\n",
    "            \n",
    "        # make the GET request\n",
    "        results = requests.get(url).json()[\"response\"]['groups'][0]['items']\n",
    "        \n",
    "        # return only relevant information for each nearby venue\n",
    "        venues_list.append([(\n",
    "            name, \n",
    "            lat, \n",
    "            lng, \n",
    "            v['venue']['name'], \n",
    "            v['venue']['location']['lat'], \n",
    "            v['venue']['location']['lng'],  \n",
    "            v['venue']['categories'][0]['name']) for v in results])\n",
    "\n",
    "    nearby_venues = pd.DataFrame([item for venue_list in venues_list for item in venue_list])\n",
    "    nearby_venues.columns = ['Neighborhood', \n",
    "                  'Neighborhood Latitude', \n",
    "                  'Neighborhood Longitude', \n",
    "                  'Venue', \n",
    "                  'Venue Latitude', \n",
    "                  'Venue Longitude', \n",
    "                  'Venue Category']\n",
    "    \n",
    "    return(nearby_venues)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SOUTH LAWNDALE\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Neighborhood</th>\n",
       "      <th>Neighborhood Latitude</th>\n",
       "      <th>Neighborhood Longitude</th>\n",
       "      <th>Venue</th>\n",
       "      <th>Venue Latitude</th>\n",
       "      <th>Venue Longitude</th>\n",
       "      <th>Venue Category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>La Catedral Cafe &amp; Restaurant</td>\n",
       "      <td>41.846218</td>\n",
       "      <td>-87.708894</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Restaurante Nuevo Leon</td>\n",
       "      <td>41.844396</td>\n",
       "      <td>-87.717063</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Azucar</td>\n",
       "      <td>41.842580</td>\n",
       "      <td>-87.715514</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Moreno's Liquors</td>\n",
       "      <td>41.844425</td>\n",
       "      <td>-87.718220</td>\n",
       "      <td>Liquor Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>El Milagro Taqueria</td>\n",
       "      <td>41.844717</td>\n",
       "      <td>-87.702247</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Mi Tierra</td>\n",
       "      <td>41.845352</td>\n",
       "      <td>-87.705347</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Los Candiles Restaurant</td>\n",
       "      <td>41.843627</td>\n",
       "      <td>-87.714736</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>La Chaparrita Taqueria</td>\n",
       "      <td>41.846354</td>\n",
       "      <td>-87.701661</td>\n",
       "      <td>Taco Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Taqueria Atotonilco</td>\n",
       "      <td>41.844303</td>\n",
       "      <td>-87.722848</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Cermak Produce</td>\n",
       "      <td>41.845487</td>\n",
       "      <td>-87.707904</td>\n",
       "      <td>Grocery Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Little Village Arch</td>\n",
       "      <td>41.844484</td>\n",
       "      <td>-87.703793</td>\n",
       "      <td>Sculpture Garden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Dunkin' Donuts</td>\n",
       "      <td>41.840580</td>\n",
       "      <td>-87.704668</td>\n",
       "      <td>Donut Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Birrieria Patiños Ocotlan</td>\n",
       "      <td>41.844101</td>\n",
       "      <td>-87.720338</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Tortillería El Milagro</td>\n",
       "      <td>41.844726</td>\n",
       "      <td>-87.702255</td>\n",
       "      <td>Taco Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>T-Mobile</td>\n",
       "      <td>41.844626</td>\n",
       "      <td>-87.709617</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>El Pollo Feliz</td>\n",
       "      <td>41.842945</td>\n",
       "      <td>-87.702733</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Carniceria Aguascalientes</td>\n",
       "      <td>41.844682</td>\n",
       "      <td>-87.704267</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>\"Las Quecas\" Quesadillas de México</td>\n",
       "      <td>41.846215</td>\n",
       "      <td>-87.709119</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>AT&amp;T</td>\n",
       "      <td>41.844120</td>\n",
       "      <td>-87.718564</td>\n",
       "      <td>Mobile Phone Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Taquería Los Comales</td>\n",
       "      <td>41.844459</td>\n",
       "      <td>-87.704090</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Taqueria Los Barrilitos</td>\n",
       "      <td>41.846263</td>\n",
       "      <td>-87.713156</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Subway</td>\n",
       "      <td>41.840620</td>\n",
       "      <td>-87.704688</td>\n",
       "      <td>Sandwich Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Discount Mall</td>\n",
       "      <td>41.843578</td>\n",
       "      <td>-87.702629</td>\n",
       "      <td>Clothing Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>ALDI</td>\n",
       "      <td>41.838257</td>\n",
       "      <td>-87.705649</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Redbox</td>\n",
       "      <td>41.848924</td>\n",
       "      <td>-87.719919</td>\n",
       "      <td>Video Store</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Walgreens</td>\n",
       "      <td>41.844353</td>\n",
       "      <td>-87.701925</td>\n",
       "      <td>Pharmacy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>La Chiquita</td>\n",
       "      <td>41.842973</td>\n",
       "      <td>-87.724289</td>\n",
       "      <td>Market</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Burger King</td>\n",
       "      <td>41.842357</td>\n",
       "      <td>-87.705449</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Chase Bank</td>\n",
       "      <td>41.844489</td>\n",
       "      <td>-87.721931</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Fifth Third Bank &amp; ATM</td>\n",
       "      <td>41.844056</td>\n",
       "      <td>-87.724345</td>\n",
       "      <td>Bank</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Volkan</td>\n",
       "      <td>41.845968</td>\n",
       "      <td>-87.704967</td>\n",
       "      <td>Nightclub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Dona Torta</td>\n",
       "      <td>41.844301</td>\n",
       "      <td>-87.708836</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Las 3 Campanitas</td>\n",
       "      <td>41.844353</td>\n",
       "      <td>-87.720112</td>\n",
       "      <td>Dessert Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Slice Factory</td>\n",
       "      <td>41.844400</td>\n",
       "      <td>-87.711370</td>\n",
       "      <td>Pizza Place</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>El Tecolote Ostioneria Y Restaurante</td>\n",
       "      <td>41.844658</td>\n",
       "      <td>-87.710972</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>La Chiquita Supermarket</td>\n",
       "      <td>41.844528</td>\n",
       "      <td>-87.714739</td>\n",
       "      <td>Supermarket</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Jacaranda's</td>\n",
       "      <td>41.844432</td>\n",
       "      <td>-87.715203</td>\n",
       "      <td>Bar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>McDonald's</td>\n",
       "      <td>41.844080</td>\n",
       "      <td>-87.704772</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Tropical Optical</td>\n",
       "      <td>41.844369</td>\n",
       "      <td>-87.716134</td>\n",
       "      <td>Optical Shop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>La Espiga de Oro</td>\n",
       "      <td>41.846272</td>\n",
       "      <td>-87.713782</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Little Village Plaza</td>\n",
       "      <td>41.844141</td>\n",
       "      <td>-87.704491</td>\n",
       "      <td>Plaza</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>K-OZ</td>\n",
       "      <td>41.846146</td>\n",
       "      <td>-87.704701</td>\n",
       "      <td>Nightclub</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Falcon Repair and Car Wash</td>\n",
       "      <td>41.847298</td>\n",
       "      <td>-87.705338</td>\n",
       "      <td>Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Los Olivos</td>\n",
       "      <td>41.837233</td>\n",
       "      <td>-87.709976</td>\n",
       "      <td>Mexican Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Wic Food Center</td>\n",
       "      <td>41.848160</td>\n",
       "      <td>-87.705400</td>\n",
       "      <td>Food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>La Baguette Bakery</td>\n",
       "      <td>41.844304</td>\n",
       "      <td>-87.703188</td>\n",
       "      <td>Bakery</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Shedd Park</td>\n",
       "      <td>41.849904</td>\n",
       "      <td>-87.716968</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Dennis Carry Outs</td>\n",
       "      <td>41.848747</td>\n",
       "      <td>-87.719703</td>\n",
       "      <td>Fast Food Restaurant</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Our Lady Of Tepeyac Social Center</td>\n",
       "      <td>41.847687</td>\n",
       "      <td>-87.702679</td>\n",
       "      <td>Gym / Fitness Center</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Fresh Moves - Mobile Grocery.</td>\n",
       "      <td>41.851357</td>\n",
       "      <td>-87.717933</td>\n",
       "      <td>Food Truck</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Homan Park</td>\n",
       "      <td>41.852166</td>\n",
       "      <td>-87.710305</td>\n",
       "      <td>Park</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>SOUTH LAWNDALE</td>\n",
       "      <td>41.843644</td>\n",
       "      <td>-87.712554</td>\n",
       "      <td>Kenny Jenkins</td>\n",
       "      <td>41.834750</td>\n",
       "      <td>-87.712194</td>\n",
       "      <td>Lawyer</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Neighborhood  Neighborhood Latitude  Neighborhood Longitude  \\\n",
       "0   SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "1   SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "2   SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "3   SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "4   SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "5   SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "6   SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "7   SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "8   SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "9   SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "10  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "11  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "12  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "13  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "14  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "15  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "16  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "17  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "18  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "19  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "20  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "21  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "22  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "23  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "24  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "25  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "26  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "27  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "28  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "29  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "30  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "31  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "32  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "33  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "34  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "35  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "36  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "37  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "38  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "39  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "40  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "41  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "42  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "43  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "44  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "45  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "46  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "47  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "48  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "49  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "50  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "51  SOUTH LAWNDALE              41.843644              -87.712554   \n",
       "\n",
       "                                   Venue  Venue Latitude  Venue Longitude  \\\n",
       "0          La Catedral Cafe & Restaurant       41.846218       -87.708894   \n",
       "1                 Restaurante Nuevo Leon       41.844396       -87.717063   \n",
       "2                                 Azucar       41.842580       -87.715514   \n",
       "3                       Moreno's Liquors       41.844425       -87.718220   \n",
       "4                    El Milagro Taqueria       41.844717       -87.702247   \n",
       "5                              Mi Tierra       41.845352       -87.705347   \n",
       "6                Los Candiles Restaurant       41.843627       -87.714736   \n",
       "7                 La Chaparrita Taqueria       41.846354       -87.701661   \n",
       "8                    Taqueria Atotonilco       41.844303       -87.722848   \n",
       "9                         Cermak Produce       41.845487       -87.707904   \n",
       "10                   Little Village Arch       41.844484       -87.703793   \n",
       "11                        Dunkin' Donuts       41.840580       -87.704668   \n",
       "12             Birrieria Patiños Ocotlan       41.844101       -87.720338   \n",
       "13                Tortillería El Milagro       41.844726       -87.702255   \n",
       "14                              T-Mobile       41.844626       -87.709617   \n",
       "15                        El Pollo Feliz       41.842945       -87.702733   \n",
       "16             Carniceria Aguascalientes       41.844682       -87.704267   \n",
       "17    \"Las Quecas\" Quesadillas de México       41.846215       -87.709119   \n",
       "18                                  AT&T       41.844120       -87.718564   \n",
       "19                  Taquería Los Comales       41.844459       -87.704090   \n",
       "20               Taqueria Los Barrilitos       41.846263       -87.713156   \n",
       "21                                Subway       41.840620       -87.704688   \n",
       "22                         Discount Mall       41.843578       -87.702629   \n",
       "23                                  ALDI       41.838257       -87.705649   \n",
       "24                                Redbox       41.848924       -87.719919   \n",
       "25                             Walgreens       41.844353       -87.701925   \n",
       "26                           La Chiquita       41.842973       -87.724289   \n",
       "27                           Burger King       41.842357       -87.705449   \n",
       "28                            Chase Bank       41.844489       -87.721931   \n",
       "29                Fifth Third Bank & ATM       41.844056       -87.724345   \n",
       "30                                Volkan       41.845968       -87.704967   \n",
       "31                            Dona Torta       41.844301       -87.708836   \n",
       "32                      Las 3 Campanitas       41.844353       -87.720112   \n",
       "33                         Slice Factory       41.844400       -87.711370   \n",
       "34  El Tecolote Ostioneria Y Restaurante       41.844658       -87.710972   \n",
       "35               La Chiquita Supermarket       41.844528       -87.714739   \n",
       "36                           Jacaranda's       41.844432       -87.715203   \n",
       "37                            McDonald's       41.844080       -87.704772   \n",
       "38                      Tropical Optical       41.844369       -87.716134   \n",
       "39                      La Espiga de Oro       41.846272       -87.713782   \n",
       "40                  Little Village Plaza       41.844141       -87.704491   \n",
       "41                                  K-OZ       41.846146       -87.704701   \n",
       "42            Falcon Repair and Car Wash       41.847298       -87.705338   \n",
       "43                            Los Olivos       41.837233       -87.709976   \n",
       "44                       Wic Food Center       41.848160       -87.705400   \n",
       "45                    La Baguette Bakery       41.844304       -87.703188   \n",
       "46                            Shedd Park       41.849904       -87.716968   \n",
       "47                     Dennis Carry Outs       41.848747       -87.719703   \n",
       "48     Our Lady Of Tepeyac Social Center       41.847687       -87.702679   \n",
       "49         Fresh Moves - Mobile Grocery.       41.851357       -87.717933   \n",
       "50                            Homan Park       41.852166       -87.710305   \n",
       "51                         Kenny Jenkins       41.834750       -87.712194   \n",
       "\n",
       "          Venue Category  \n",
       "0             Restaurant  \n",
       "1     Mexican Restaurant  \n",
       "2           Dessert Shop  \n",
       "3           Liquor Store  \n",
       "4     Mexican Restaurant  \n",
       "5     Mexican Restaurant  \n",
       "6     Mexican Restaurant  \n",
       "7             Taco Place  \n",
       "8     Mexican Restaurant  \n",
       "9          Grocery Store  \n",
       "10      Sculpture Garden  \n",
       "11            Donut Shop  \n",
       "12    Mexican Restaurant  \n",
       "13            Taco Place  \n",
       "14     Mobile Phone Shop  \n",
       "15    Mexican Restaurant  \n",
       "16    Mexican Restaurant  \n",
       "17    Mexican Restaurant  \n",
       "18     Mobile Phone Shop  \n",
       "19    Mexican Restaurant  \n",
       "20    Mexican Restaurant  \n",
       "21        Sandwich Place  \n",
       "22        Clothing Store  \n",
       "23           Supermarket  \n",
       "24           Video Store  \n",
       "25              Pharmacy  \n",
       "26                Market  \n",
       "27  Fast Food Restaurant  \n",
       "28                  Bank  \n",
       "29                  Bank  \n",
       "30             Nightclub  \n",
       "31    Mexican Restaurant  \n",
       "32          Dessert Shop  \n",
       "33           Pizza Place  \n",
       "34    Mexican Restaurant  \n",
       "35           Supermarket  \n",
       "36                   Bar  \n",
       "37  Fast Food Restaurant  \n",
       "38          Optical Shop  \n",
       "39                Bakery  \n",
       "40                 Plaza  \n",
       "41             Nightclub  \n",
       "42            Restaurant  \n",
       "43    Mexican Restaurant  \n",
       "44                  Food  \n",
       "45                Bakery  \n",
       "46                  Park  \n",
       "47  Fast Food Restaurant  \n",
       "48  Gym / Fitness Center  \n",
       "49            Food Truck  \n",
       "50                  Park  \n",
       "51                Lawyer  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "south_lawndale_venues = getNearbyVenues(names=['SOUTH LAWNDALE'],\n",
    "                                   latitudes=[41.8436437],\n",
    "                                   longitudes=[-87.7125544]\n",
    "                                  )\n",
    "south_lawndale_venues"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fcca6e73c18>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Avx9YOXe8EvBAH/0FQRAEfdCPl8vPgJdIWg34E/A+4P0DGVUQBEHQmJ41dDObD3wUuAT4tZ+yO3vsbk60j/YLoe9oH+3b1n4UPW+KBkEQBJOLiBQNgiBoCSHQgyAIWkII9CAIgpbQSoEuaUjSyt1bjmq/g6TPpeNVJL1q/EbYdTyvrXOuj/53Ljj3xS7XbCJpl/T3ism7qajdFEm/HMxIS8eylKQ1x6nvfeqc63h9uqRXSHq5pOkDHs8MSR+TdJakMyXtJ2nGIN+jhzHVmgsLcTzjNh+akr6PYyWdn47XkvSBLtcMbPx9JefqB0kfBU4xs4drtv+CmX0udzwVOMnMtu9sa2bDks4G6kamfhP4D/BG4AvAY8CZwIYlY1kdT0r2mnTdDcB+ZnZPSftnA4cAr8WDr64DvmBmfysZz9HAK2ucQ9KYc3nM7NaC0++X9JSZnZb6OApYpqwPSQcDGwBrAscDSwDfT5+n8/3+I+l2SauY2R+qxpb6ngpcYmZv6tY2td8SOByYDqwmaV38u3xXxTXbmNnp3c4ldsZ/2zwfKDiX9fMO4NvA7/Dgj9UkfcjMLuryOV4JbILPh+tLfieAk/D5eHQ63g44Gdimou/dzOy4jnNfNrNPl7R/J3Chmf2nasypbe250HHd2njOpwUPIzM7qaTtFWa2ebdz6Xyj+ZAUo0OAF+LybwgYNrPVS9rvY2ZHdjuX4wTgFOBT6fgu4IfpfFH/jedzFRMm0IHnAT+TdCvwPfymrnK5WUXSAWZ2qKQlgdOBspsA4EZJG5rZz2qM5dVm9kpJPwcws4e7aFo/wBOTvTsdvw84FXh1SfvTgGuA96Tj7fEfeZQQk/QaYGNgRUkfy720DJ7Rsogj0v8z8BvtdnySvgK4CRcanbwbOE/S03hytcfN7AMl/Wft1yN932b2gKRnVbR/PnCnpJ8C/8pOFk1SM3ta0uOSljWzf1T0mXEInkfoqnT9bZJW7XLNAfh8KT0naTs8jmI1Sefm2j0LKHvwgn//m5nZ3amfFwEXAKUCPa0EtwHOSqeOl3S6mRWtktY0s3Vyx1dKur1iPADvlfSkmZ2S3u+bwJIV7d8HHCnpTOB4M/t1RdumcyF7CLwBF+gX4nPuOvxhlW83A1gamClpeUaiI5cBZpV0fwjN5sNxwH7ALcDTVeNONHrAA88xsx9I2j+N59/pPivjEJrP51ImTKCb2WckfRZ4M7AL8A1JBhxnZr8ruGQX4BRJBwCbAReZ2dcr3mIz4EOS7sOFSvYkfkVB238nTXEYfNmEa95lDJnZybnj76cVRxkrmNl/546/KGnrgnbTgWfiv0v+JnkUeG9Rx2a2WRrzacBsM7sjHa8NfCLfVlJeC98ZOA+4HjhQ0jJm9mjJ+OelVU/2/TyjpF3G57u83smTwB2SLmP0A2Dvgrbzzewfkrp2KultwNuBF6RVSMYywPyO5j8B/gzMZOQhCa4d/6LibR7MhHniHuDBLkPbDljPzJ5M4/wyLiCLBPrPJW1kZjemtq/Gf7Mq/gs4V9J/cOH5dzP7SFljM9shzY3t8IfLMK59n2pmj3U0bzoXwOfuOsDPzWwXSc8FvlvQ7kPAvrjwzkLgwef/MSV9154PiX90Wz1BXw/4f0lagRFZsiE+h8poOv5KJlJDz0wjfwH+gt9gywNnSLrMzD4JY0wKRwLH4hP6akmvrFiqvq3BUI4CfgQ8R9KX8An4mYr2V0r6NK55DwPbAhekHxIz+3tB+/cBlo7fi2txozCzq/HPdYKZ3ddg/AAvzYR56uuXafmW58403qHc/1ulf8PAKiV9m6RjgeUk7Q7sCnynbCBmdrWkFwIvMbPLJS1N+QoD/LsY832U8EtJ7wemSnoJsDcujIt4ALgZeBcuIDIew7W0/JjvA+7DzWhNuFPShfhvO4xr3j+T9F+p37MKrrkXX1E9mY6XxE02Rbwa2ElSZr5aBfi1pDvoUFCy+Zf4IHA2fq98QdIKBfNyAWb2aNLQl8KF6ruB/SUdZWZH55s2mQuJJ5Ipbn56cDwIjDFxJDPGkZL26njPKprMB/B78TB8dfRU7r075UivD/hP4IrS6pKuBl5AiTLW4/grmUgb+t64ljgXf1rvn5YnU3C70ydT0yM6Ln0YX7odgd9AbyzqPxOIkp5Dzm5X0vYUeVKczXEht3WXZee26f8PdZzfNY2pc7J+CPgYbmsE34z+VzKrDJtZp/16SUlzgFXJ/UZmVvhZE7+W9N30HsPADngE7wLMrPZGccd1h0vaAteU1gQ+Z2aXlbVPN/psYAXgRfik/jb+/Rb1f6KkpYBVzOz/ugxnL+Ag/Gb8AR6pXLiha2a3A7dL+gH+PXbtPwnirwDPYSQpUtFvlDED+Cvw+nT8EP65t8R/hwUCXdLR6dxT+IPgsnS8BW6CKOKtVePt4BZGJ8gbAt6R/hXNy2xcW+Jz90W4ff5VZvZgehD/mhH7feO5kLhZ0nK44L8F+Cfw07LGZna0pI0ZO/+LbO6150MiM4tukDs3Ro7kH/AdyslS+EOvUOs2s5slbQb8P/z7/1VKL15G0/FXMpEa+rOB/+rURNOT/J2548166VzSu3ChPwvXCF6IT86XdbSbAvzCzNYGflOnbzNrtKtvZpU2xgJOxwXgd6ln5wM3SX0YyDwyrgG+VdRQ0h7AaWb2SDpeHtjGzMaEHWv0pmW3GzdjT9wueBOAmd2VHqyFqObGUBrL581sf/wmqMtb6/Sf+CqwZZcH+gLMbJcG47g5/X8LviLMuKqi//skrQO8Lp26Nj2oitqulubza8ysm1kmzzbA183smo7+Hpe0a/6c3KPl2kyIyz00VjWzeys+Q2bu+baki4FlzKxUy5V0Mv5wuY2R+T9Mh809GyM+F2rNh6bypEA5WYkK5SR3b92ejpeX9IGKe6uX+VzKhAj0NOneY2YHF71edDPJN0Lfw9in9hdK3ua/gY2Ay81svfTU3K7gvRp5ZaSxLIELz03TqauAY83s3xXXvCvf3szOr3iL+WZWKIzLMLMnJR0DXI5P/v+rGM8eZvbt3LUPS/owBXkketi0BHjKzOZldkFJ0yhIrZzjEMZuDI15aKax9JJTv6j/VUva/rWuMAeQtBKuweY9mPYxs/s725rZiY1GzQKXyd0Z0fS/L2lOmUkizefDaWY6Ohg3L2TvuRTwXDO718yu6Gh7Or5xn/F0OlfoEZb6uwI4wswuzAR/+gyzSy7ZAFjLqp0ksr4vw5WRvHJympm9paT9c4H/AWaZ2dvkVdZeYx1eQTkaKSc0v7cGWiNiQgR6L0IUOAf4B67dPNWlLcC/zexvcr/oKWZ2paSvlLSt7ZWR+BburvXNdLxjOvfBosbyTa8NcXcmgH0kbWIlbmS4B8pHcC0ub+crtYFKegNwIm6fHQJWlrRzp9aVGGXPTg/YJcr6ptmmJfg+wIHAUml5/hHcrlhG0cZQ2c38c/km1ekdYymyVVf1X8bNkn6I25/z331Z/8fjS+XMjXCHdG6LsjeQ9HuKawcUmUR2w72w/pWu/QruJltlY75U0nuAs+oIRZoJ6Wl5E0J6cHfzvV8N+JTc6yzbMN+gov0vcS+4P1e0yZiZCfM0noe7CNwT8N8n04h/i3uclQn0pspJ03url/lcykSaXJoK0ZXMrIk98RFJz8RND6dIepCxng0ZTb0yNrTRrmQ/VrUr2duBdS35+Uo6Efg5UCbQs8Cf/XPnSm2giSOAN2c2Yklr4K6URRrAZZJOxZeOw/hq4/KKvptsWoJ/rt2AO/D9gwvNrGrjrMnG0Aq4l0He5jnKVt1n/8sAj+PeV3X6X9HMjs8dnyBp34qxwGhhNgN/GKxQ0naI0Wa3p+le7OBjwDOA+ZKepPs+QBMh/ZCkd5nZuQCStsL3wap4BDdRHCXpPPyhV8VM4FdJNuQfqkWy4T95xTDZu6sE7kwzM7m3HGY2X9VuhU2Vk6b3Vi/zuZSJFOhNhehPJL3ccp4cXdgKeAL3ZtgeWBYPGhqDuVfGcxnRSH5qZlWuZ09LepEl90p5oFE3W/dyQKZhL1vVsKmNPrFEfsPPzH6bTENF7I9PzP3wm/1S3HuobDwnpht8jXSqypwDsJe5x8ICIa7qYIwmG51NbNZl/V+Km+QG0f9cSTvgD09ws16VWxs2NqDsfyVdB3yuoPnxwE2SMpv71pRrk1n/TfdsmgjpPXAF6Rv43PkjsFOX/ofM021/RB41eR3u0VbGIQ3GfhBwndyjBNysWWbKAXdGeDYjboUb4Sv/MpoqJ03vrV7mcykT6Yfe1LVtE+ADabn6FNV+5WRLVPwJfgHwt7Llp3w9dRhuYx0Cjpa0v5mdUTKW/XH3p3tS+xfim5JlHIovra5M7TfFA1tKUYPIusTNko7DvRTAH2K3FDU0s6fxJXst17CG5hxoHoyxupnV2thqYrPO8ZzO/uX+wWOCzuTBLbvhm+f5737XzraJXYFvAF9P4/lJOlf1GfKuuFNwjb1QCJvZ15Kwei3+3e9iZj+v6j+9x/LASzo+Q9nvVVtIJyVmo7T6HbKxfupF5G3KJ8hdLvcsa2zuvlsLM7s4fZ8bpbHvZ2ZVK4aPAecCL5J0PbAi1W6F6yUBnldOtjSzQi29h3url/lcykS6LTZybaOmX3l64n4Z14b/GxdwM4EpknYys4sLLjsIN6M8mPpYEV8mFQp0M7siLd3XxCfRb8ys1K5vZqdKugpfAQwBnzKzv1R8hlqRdR18GL9J9k7vcQ0jNv7O/u+i2Ia7RkFzqGnOUe/BGN9OK4ATgB/kbaIFNLZZA2elm/BPaZyb4oEqLy9oezLu7fQWfEW3PR3un3nSUr9pmHbeFXc+/qCsMvDfhtuTpwF023uS9EHc22mldO1GuN29zMW3kZCWpzt4GTAjsy1buXMCZnZsui5zIX6ICi083cNH465/03FF718VJqOncU+2GcBakkofXmZ2q6TXM3LvdlttficpL1nA3na4n36hQJdHCn+JscpY2b3Vy3wuZSJNLo12j62+X/k3gANxs8aPgbeZ2Y2SXooLoSKBPqXDxPI3uicuW58Rj5t10iSqErhT8GXsNGANSWtUaEx1I+sWYGZPJQ0r822umqj5dACZDbfKDFTXnNNTMIaZbZIeErvgK42f4iHoRW6SvdisPwScLXePfCXu5fD2krYvNrNtJG2VTE2ZCaiQ9PDfnbHeV6VaujVwnZO0F+6F8ldG7OfDeGqHMvbBlYcbzWyzNPcrTZx1hbSkb+Ph+Zvhc/K9VPiUp2u2BL7GiAvxKvhDcu2SS76BpyM4HV+97ISvNor6rvXwUgr0KmCNdO+W2azfiwc7bo/fNzsxen+lkxNwc+HhuCK2C9VR573M51ImUqA32j1WTb9yfIPn0nTNFyyFTJvZb1Tu5XCxpEsYsYNuS3Uujtp+sqn9V1KfdzLy4w7jWnQRtSLrOt7jDdQ0i5jZXztOHZ5suGXUMudY79GW2UPiM7iv9lHAepKGgAM7brZebNY/kweyXYp77GxhZg+VNM8ego8ks9dfcGFdxjnAtfiKrnIfRaPz8xSN82sFp/fB87lUfsYOnjR3Y0XSkmnul2bzayikNzazV0j6hZl9XtIRdN/A+yI1XIjzmNndkqYmE8bxkso2ses+vLZM/z8H9+j5cTreDDe1Fn4GM7tHHuV9Nm6KerOZPVEx9KXN7BJJh6eVz2ckXVvRvvF8rmIiBXrT3eNafuWMfhp2fvGFDwwz2z89wTfBheEcM/tRUdtEbT/ZxNb4TVnH3RIaRtYlanu5SMprd5kNt0pDLzLnlOXWaBxtmcazCx7ReBke2HOrpFm4tpW/2Yps1oX7F3KPivxvtDS+AXZc0sqKTCVzkv35M7it9ZnAZ8s+K34Df6ri9TxNNyvBhUhd//+M+9P8ORv3ungYT4NQRhMhnd1Tj6ff52+4W2IVTVyIs76nA7dJ+iq+6ivLGVPr4ZVtPsrT2q5lZn9Ox8+nYC4nO39+7qyAm35uSnOnbIX0VFJEficPMvoTfh+UUXs+12EiBXrT3eO6k2IdSY/iQmSp9DfpuNBUI+kr6aY8q+BcEU38ZMETNi1BDf/5NBkOTXbkWpF1iSZeLvkJPB/4PSPpDIrYI2mPCzRIecBL2SZno2hKaxCUAAAgAElEQVRLfEJ/B9fGFzyEzTP5debUWblTEMtTohbZlA+v+f5ZP1OAR81TOl9Dl1VR4nxJbzezC7s1tBEf7DpjybT5e4Cr5Bv7eRe+Im0+ey3LAnqIfCN+WYpNjRlNhPT56WFxGJ5QbJgu5kCauRCDx3VMwYvQ7weszEim0k6aPrxWzYR54q+MeG/leWfBuTrshysBe+O29GWp3iRvMp+7MpECvdHuMTUnhZlVecqUsQUj+Ysz3tZ5LqfxPYsafrIayd3xOK5tXNHRfkxgjnXkcreKkOoOaplF5OHGR1q5B08RTb1WGkVb4kvkG4qWsjY6qyU0yBVv7klVO996MnN9lJEkaqVIeoyRBGcHSnqKkflY5fOdxSHsY6OjG4/osLtn2vwf0r/p6V/VmGbgHisvxhWl46yex0htIW0jWUPPTNruDOseQbwVburq6kKcfq8vmdkO6ZrKh2APD6+rcubVYdxWf2VBv/dpdFqQWpjZTenPx/AHUzdqz+c6TKRAb7R7TAO/8rrIQ3I/gmdGyzTgIfwJW5QLo5HGx+jcHedWNeygSS73jFpeLubhxvtQ4sGTR+VeK8tQbedrGm25M/AtSX/D7dHXAtdZrviJessV30vqgsskfQKPHswHvI2K0rXmvt55XmFjoxvX6+h/jCBLgv+RClPfifgewLW4QrIWI7l9SqkjpFW+qYiqNxXzLsTZGKvG8rS86s90q0hqpdGZJTOyGJVnMhLz0dn/RyW9m5E0HKXmVWsQ0S6PEyg1wZrZqO+v1/ncjYkU6I12j62BX3kDfoBvfh7K6KjNxzpv4DSGUdqOPEBhU+APZla0SXhiR/sl8J39P1l14FLtXO7ZZEv2+VFmkQouke+kdwqtznzovaYQbRRtaWY7pc8yC58Xx+Cb3/n52ThXfI4mqQsyLTnvJz0mSlceQ/FIJvjSns7W+Kb0MVXCCHehXT57YCXhNOpelBfBsGQTXhKfp+vi0Z/vN7Oi6MO1zOzl6frj6L7vkr3XVHz/YlVGXCM7zTpbFlyaUfjbdqxisnbQPXL1XuD6pETkf6/8eLLMkvmo2Xxq6DHmso7VWtUeWZ66Ee3fqNlfRj/zuZSJDCyqtXus3vzK6/JvXLhul95rTdyd7T6KJ+j5wKfNc40/H1+e3owHKcwxs//taP9t4Ggzu1PSsvgG39PACpI+YWandr5Hokku97NJyzNJZ5pZma0xT5b29+OMvglG5UO3Dq+V3APsn+aRf4VYw+g3+S7/63C/8Ln4zTHKM8AKcsXX0FgzaqcusPpRuobnDP+HPHvj6bhisC6+MirM65M4Ao98PgP/3oW7UubZlpFo1p1xm/KKuL33RIrDyRe4qZqHtNf8KJxHeuhR4mLX9DdN1/S6inkg/ZtCecBV42jqHlZrUDOi3Tw25eW499udZnZXl/b9zOdSFrpAV/Pd4178yutyMb4xe5ekF+MC9xTgnZJeZWOTZ61mZlkB5F2Ay8xsJ3kJruuB/+1o/zoz2yPX/rdmtrWk5+EaV5lAb/KD5jWUbq6NG5nZjVYzL3rTB1juujXwZGXPNbO15V4s77LiEmvg39vv8MCyK4v2DXrUWIFmWQ4llUVIdrqkLmVm2ebbDsD3zOyIZHe9reo9zOwkSTfjvtJDeBrpX3U0m5e7sd+CVw96Gs97X3bfZg4BMNopoJtGvFLR6i+PvFLSHFxg3QHs2m2fpMOm/wv8O6raDAXqbR7L41EOzPX95YIVZhGNEs3V3INA7rG3G36PbCh3mf5eRfue53MVE6GhN9097sWvvC7L556kO+M3zV5yl6lbGJs8Kx+oszlpQ9fMHpOX++okv+zeglTD0sz+0mXsFzCiOc/APQ7+j7E+9zBa+Hd7EHyTZpstTR9gGd/B0yMcC2Bmv5AH6JTlZ5kp6WW49v8leRTu/5lZflOpF40VgNTfoYyN3it6AOYzDM7Af+dbGRtjkH+QvpGUyiHZXcuGko3n5PTZflVwLuMpuR/8X3ETXL6c4NJF/VpvDgEAF0l6c3aflXBMGsM1eGTs/+IPmiryNv234/O3q00/bW4WRTLng4VOwu/Ro3GZchS+Ud+NRonmVD9qdXt8b+Rf8mCzC/FayWX0PJ+rWOgC3ToKWqh75Gdjv/IG5K9/I77Lj3nAU5GA/qM8cu9+XDBeDCDPH13kIviIvFjHn/BcDbul9tPwqieFZHbQDHmuis7qSBlVbpqV3hY1aPoAy1jazH7aIdhKNTN58NQqeLDYqvhqrLP/XjTWjOPxaMuv48JxF0oyFprZXh1jW5YRz6E8P5bXwP0znmjqx6n98xn9IC+is8jKVMbGC2Qb1yvixSd+n9q+Hc/UOUhuBH6UVhf/pnjuTLGRyN3TlbIVdqEnmz6jH14zcJfFzvnzPPP8POB7QlUF4xfQZLWWqBu1+lS2z2dmD6Xvsop+5nMpE5nLpW7kZ2O/8gb8Ql4M4E/40i1bCSxX0n433LPmTcC2NuKpsBEuNDr5EK45PA/Y10byt2xOAy3BPMimsIBAQ61sdY32Vunsq3Ojp+kDLGOuPKdFltHuvVT77F+X+/cNK05M1FhjzbFUsnEOJYXiEHn0XmGBlQ4ep/gG3hfXsp4PbGIjaRaeR0mSsSQEs2C6bE6DPwBGFUAwd397aWcf5v7uXX3eG3IEvk9yR4X9djmN9nQZdWzFXi492fRtrIPB9RrJppgxlGzO2Xc4NX9sJbUDGq7WstfqRK2uLin7DoZws+RZuT46vYT6mc+lTKSXS92KQj278NRgd1wTWhXflH08nV+LAhdFc8+UPQrOX0mxL+tvKagJaWaXUJ0fJO/GNAUXpmWh6k14iLE1Wqto+gDL2BMXUC+V9Cc8cKk0B3Y3+22iH431yaQx3SX3My+N3tPo6NIp+FwY45eeBN9pBedLx2JmhwKHSjrUzOpouAuLu4BfdtmMu5rRni754zIPpp5s+hrtkjgFX708r6PZsrjJJb/SyrT0qtoBtVdricdVL2q10xmhm9fLuKzAhoaH+7Va9Iakm81sA3lhiPWS7fGnZvaqCRnQJEKebTEjy8Z3ppk9WXxF7X5vNbOeAhZ6fL9n4Ev1btn7VsSLgnemrK0qit1kHBviq7/lcEViWeCr2X5MR9vX5w7nA/eVrBj6HdML8FVpPqFXWW6fcUXSCbgAvIia0ajjPJ6sotMQI5HMXzCzqnxDdfu+xczWl3RHzhx0rZm9rqT9C3ELwhJ4DMyywDfN7O5+xzIeTKSG3jQceLGhzi5/j9w7Tv0CC1YW/7BUn9FGyqbtBUwt84rBPYt+iG9u7YFvEg1iRUIaRxag9U+65Mmo69XQD/KShO/DN0Xzyd0mRKDjAvP31IhGXRhYbwVe6lJ7tZbGku35PUHzojwLnYkU6AOP/FxYSHqtdVRVLzqXe221bElVdS732rhorAV2vEGzK8VeNHPwYhJlAv3ZZnacvKpR5p/bt2Ct2i+Awj2DJl4N+WuWAlaxXC6dLrybLsnaVBGZmcbeU4mygveZCjzTvPL8pEHNC7zUZV/cRr03vlp7IyMlH4vG8c7ULltNDcLZYNyYyMCi8Yj8XFg0zb9wZsFrZ1Bc7xPGWWNtiqQVyjaZOhi2gghJ81ztVXbKbPPsz/K83A/g+a07xzEF2MjMylKpdvIaPGjtVDzvftUYMoq8Gl5c1lie6/twXPivJg8y+kLRwyJHnWRtjSMze8E82GahmeHqoN4KvNSiyWot8b/Af1G9YTyG9JDHqlPtDpyJCCwaz8jPXsfUmWYVPGXpzcCxme1aDfMvyIOfXgYs26FxLUO1h864aKx9cJOk2/ANpYuqJrak51pHvnV5gY4qvpjcAz+OPxiXwTWpUaR9lswjow7Pw/3/s5w0F+DuYXdWXVTTqyHjELxQy1Xp2tskrVrUUA2StdmAa0124TY1qDw/jtpzRqMCL2mV8VxG70f8oaPNJnipw5PS8RmMFOb+opn9mGL+SPcN4/z7vAwvcvF8XKb9ES8b2Bk4lrVfAs/DlOWWuRr4tlVXUSplIjT08Yz87JV78N3mfIGLLK3mdxjJmtY0/8KauJa9HKM1rsdwD5syammsTemmiZlZmS/vGriny654vdUfAickL548hwEXSPo4Ix4H6+PpdEsTm5nZ+enPf+CeB6i8asulkt4DnNXtJksC+WK8gMmSuGC/Sh6gVlbzsa5XQ8Z8M/tHTZe8npK1KVdNKDtnFSXfeqB25fnx1J5z1C7wotEVnfLFYzo9pz6PFwvPWBMPRHoGLo/KBPongQuTQlVnw/hYPA30ZWl8b8JNjpuUtP8WvlrLEuntmM5VpY4oZSIE+nhGfvbKema2ae74PEnXmNmmkhZoc+bpWK8DXl5n49LMzgHOkfQaM7uhwXhqaaw9kLkszsDNCbfjZohX4CaJwkmXBOdleCbCzYDv4xXcb8dTA9yQ2p0k6SF8L2Rt/Ma6EzjYzEorQJXwMYpt7h/Db8KnJT1Bdxe4JfHEU9vh7qlHUW2uKMrFXWXP/qWk9+N+0C/BbbOFGr01D2rJ8gE1KvnWlIargcblEXugSYGXuhWdlunQku+y5O8u6dCK676U3n8G9TaMn2W50olmdnlaVZaxoZmtkzv+cbqvemIiBPp4Rn72yorKpciUtApuBoKOqL9kcyxK3VnFbHlR7FFYed3Jh82TB+U11tc2fM8xWKplKek0YLaNpC5em9GBDaOQJ+XaARd2f8U1nXPx3BOnkyuGkAR3U+FdRFkkZ+2ET/K842un8XzeRtIYVLG1mR1JLhe3qot57IUHEj2Fr/AuYSSku2xcnfmMYMTE98UO4dRLybdGyHOu7MbYVUDR/GxcHrEpZvaR9GedAi91KzqNChbscBCoMgmuYGZVNUQ7uVceQJZFF++AJ7gr42lJLzIvV4ek1elSyrCKiRDo4xn52SsfB66T9Ls0jtVwDfQZFOdv/nkTmyNwfu7vGbiXQ1VVlYEmvS/gpZkwBzBPvrVuRfsb8Am6dYdP9s1JgxwPutWXzVZUV+VMNp3siP8+awB751aAVVp9o2Ie5sFoB1ESHVrCRfhN+4N0/L40pn/g9te8ea6Xkm9NORn4DR6C/gXc66ws8VYv5REbIekKM9scwFKitvy5dNy0otNvJL3DzEZFaCcvlirvpMvVPc9Nnl3xB3oWzXsN1Zuv+wNXSroHnwMv7NK+konI5TKekZ89YWYXpuXyS/Ev9Tc2EsRTtOyvbXNM/Z+ZP5Z0KgXJd5puuvbBryV9FzedDONaROENnDaczreRIgijMLOq2pCVaCRfdidDlOS6kftwb4h7AgHsI2kTG5sZEzPrlk8j329PxTzkmSU/QS6XeHrvKhfT15pZfsV1h6Trzey18lTCeXop+daUF5vZNpK2MrMT5YnUCiOZG2rPjUgrhaWBmRod1r8MniIkT9OKTvvh+zvvZfT+zsZUJwzcE/ikvCJVWZ6bBaTV1UeKXitpf0WSPWsyInvq1h4ew0T6oU821mfkpnyFPJVv4UbPADwQXkJH7vHEuCS9L2AXfGc9y3x3Db4RM4ZkYlqn6LV+aWI+yfF2YF0z+w8sMKv8nLGZMZvSazGP0/G0v9+l/lL5mZJebalcmaRX4b87dATXWW8l35qSbcI/ksxvf8HvhTEkz5wjzOzCnPY8x8xmD2AcH8L3imYxOqz/UToKOdfZw+pof7c8jfP2jOSLugavl1sYgS13tX1Zp8dMFekh9z4bXV7w+2b2jpL2S+P7Qi80s90lvUTSmhWrzkpCoOOpS/E8z7cxOnKvUKCrYb5vja7cMozfMGMKUFtx0vspeOBHnVzPtTCvkn4MvkoYxlPVVrlJNXVr2wd3cXwMF3Tr4ZundZet3ViOkRJjyw6iw/R935e8EjI78Rr4qu2Oikvnm1nhw7CCDwLfk0dKD+EC64PJxDdqg07SnsApZvaIuT//0pI+YmZjygv2wZwkeD6L7408E/hcSdvVgE/JSyRmQnWDQQwi7V0cKWmvCi+kUcjzmm/TIUBPM7MxqX2T5luV0raz/bC8tFxZvEgRz7Wx5QU7Vxd5jscfXpkr7v34fRYCvQ82wFN91t2UbZrvu6kmeqikPfCHyy24H/vXzOywhv0UIukN+N7AvbhAWVle37Us9LyRiQkvfnCkpLfg7qC74BN3EAL9UHwP48o09k1JucgHxDXA65JguALfqNwW1+yKOE/SR/CSZnkbbmkglnlwy8uTJ9NQXgAwNhHY7mZ2TO7ah9MG+8AEupllJpyr6b7B+QieLfQoefxGadK1PviLpGeZp2n+DL539EUrdqtdsUCAloby90DT+r7/kbRStteUHCyqeJGZbZtMfpjZE6oOwqskBLrzSzwIpSrFa56lrUG+b2icjGktM3tUXm/1Qlybv4WUr30AHIFnl/y/NLY1cA+NQk2kBxNTNiHfDhxvZrf3M0k7xnKqpKtwO/oQ8CkbSUs8CIbM7HFJu+HlA78qqSr7XRY2ng+dL6tpuYOZfb9jf4RsHhVs5IEHpwxlykba0xhovhW5a+d7GLsPUOTrPmRedegjkj6A+6AvP8jxAJ81s9PlwUBvwWMYvgW8uqDt0xrtofZCBusttxmwh6R76VLfN/E5PN3vj3PXf7ii/3nyqNLs930R1RHElYRAd2YCv5IXgs1rWWXh243yfUv6Cq7l1U3GtIQ8gmxrPD/4vyUNcpIuYbm8I2b22/R+hTQ1MQG3SLoUX54fIK9wVFUQozaSMu+WTCtbQ9IaFQ/HpgylzentSQVJqLhPrFkiqSxAqcmK7RLA5N5Ew3gqiEEH352De9jcQndhssCrycxOkLtg7lnRvheye+QdwLfM7BxJh5S0PQj3UMsiqTcFKu35apZ7p0l9X8zsgrQn8hpGFI6qgvAH47/nypJOwQvhfKDJe+YJge4c0rB9o3zfuGCuTMbUwbG4OeR24JqkdQzMho67nh3HiK/s9vjNXEYjExMuCNcF7kna7gr04YrVQV4TnoGH3d/CaHNQP+yLm3B+ZF7ce3UKct1naGzo9lV4uogxexJmln1/TTb0PoVvFn4YFxCXMngvl5XMbEze/hJeJekmM7sNvBiFpNqbhjX5k6Rj8ejkr6QVRKHHkpldLI+A3gj/fvYzs7llHath7h0zuy+tFF5iZsfLE+c9s6htjidxz5sZwIslvdhK8g+Z2WXyakvZ+PepGn83QqDTPGWqmd0DvEk1831TLxlTvv+j8IjGjPvkEZqD4sP4Q2lvfBJdQ7VNtqmJ6TXAbeb1FXfAbaBlgTmNMLNRSaskrYynFhgIuY3pZ6Tje/DvqYzaodvywsBlDFuBa2jy5vkWJV5IA+Inkl5uudiECt4CrJ/2dDKngXfRXCmqQnhhmMPN7BF5Wb9R2SAlvdQ8ujyLzcjiOlZJJpiyNBaHUDP3Tnqfg/E9tjXxfaAlcHffwkA/SbvicS0vwDfTN8RL/L2ho11nTEm2wu82/koWa4Eu6Toz20Rj/aG7hZPnvTi+k36cKi+OrsmYOvp/LvA/wCwze5uktXAheVyzT1hM8pb4Bh7OX8fLpWlJuW/hAWTr4LkwjsM9hl5fcU2v3I9Hgw6EZG45DtfCVkmf4UM24n/dSZPQ7X8VnHsGvqJ5NrkIU0lmZlJxVGndKk+V5PqeBuwiD255imo78YO4cDpF0qtx19eB7I9kpFXdg3gqirtw5eGujmYfw00rRWH1w5Sv2Jrk3gEPAlyP5LtuZg8kE2IZ++EPgBvM7HXyZF2fKWjXUxqObizWAt3MNkn/N/VCyXtxPIfuXhzn0iAZEx4teDwj0Ye/xdPpDkSg9+Dl0tTEND+5fG0FHGmeObI053TDsWcZC8GX4eviN8OgyKrZnwuQNnQ3rWhfO3TbzBYInyQU9sHnzmmMFUxZjEBV0Eu/9NL3kLkL7ZbJrn01A3IdzaijFVvye7eUzqIBtXPvJOaluZwpM1WJ2gCeTJ4qSJqezHZFtWF7SsPRjcVaoOdRjRScORp5cZhH303HQ9Chu0Y8M6lnB6Tr50vqOb9DAU29XJqamB5LY98RdwGcSnVR6SbcnPt7Pp4Ot7CwSK+Y2R87NLiq775R6HbaT/gYvm9xIvBKM3u4YAzZCugjZjYqZiFtso+JY+iBv+KbrC/GzQPHJQ+WKhYoJmZ2iKSb8c8zSGprxfJi39cA1wLX15ib+dw7WURs2V4Q+Ib0sXhR7N3x0P7vFIxjWvru/iyP7D0PuETS3/HvuYymaTgqCYFOoxScGY28OHrQiP8lT4iVaQUbUS8BUV2aern8D16DMx+88XEzK1pKgnv0vB9fyfxF7os7EJdL6yFjYUP+KGljYDg9hPemPK9Jo9BtSYfhmRvn4Bk7/1ljPFswVni/reBcL5yIR4lem/pci5GVQSFmdnDH8fn0GARTQROteGfcPPEe4DB5iP61ZrZfZ8OkWHzevDpTrdw7Zna4pC1wp4Q1gM9ZLptijp/iD+dsc/WzkjbHVy8XFLTPqJ2Gow4h0J26KTgzmnpxNNKIcY3nXOBFkq7Hg3O2qTm2OjT1cnmbmR2YHZgHb7ydYtsgSYifiac4AJiLB970TZlNme7+wXXZA9/AfQFun7+U7m55+bQR66g8bcTHcc3wM8BBqkgWJunDeE6Q1SXlUw88CxjUimQtGymUfBwVSbZ63W/qkSKtuNCzx8zukadRnpf+bYaXDyxq+7SkJlGfGXfguYWGKY8aHrNCN7MravRdOw1HHUKgO3VTcGY09eJopBGb2a3y6vOZ1tfNRNOUpl4uUyUtmWmecj/eJcsap5twNh5h+iJcOH4bjzDslyw1b/5h9DjFWTEbk1zGRkWFVmmIapA2whokC8PNARfhkbH5PDWPWb1ygHVYMKeSWa+0YR/7TY3p0IrXpFwrRp4hdS7+fR0H7JU8g8polClV0gfxYKEf4/fK0fI6Dp0pBDoT6nV+psKCGOZ5ZL6e/vXNYi3Q1TwFZ0ZTL46mGjHJHndnGucWkj5pZlt0/1TlKEXUJcH8tfSvDt8HrpB0PC6sdqVagO6Ju4bdBGBmd2lw4didmQo/Lc9U2HcFH3k07/OBX5jZvDTmffFAj7J8HE3TRtTCRvLhbyf3otoE/+6vZySPTb9kqaxhdDrrohXDDEbs7b8AvlfD3t4zSYBnVX+mStrezE4paHoU/t1sh9vdr5YXp/ldSddN01jsjxfA+Vsay7PxTdROgT4V94yq5fGjcfJiWqwFOtUpOKtu0KZeHLU0YklvxDXZWcDZuOviSemaL9X9UBWcTcqpLulMM3tPnYvMw99/gQd6APy3mRWmV008lQQi6b2mMbhw7GfI0+Vel/remOoScbWQl7w7CLgbWFLSkfgD7ySqkzM1TRvRdFyfxf2yM4FzvKTTrTxKtzbWLJV13t7+djxjYaW9vSnyghl74iu6c3GBvicuVG9jJGXyAmwkodczcfPFIXi5xsLPZs3TWNyPuydnPIav6Dv5c0OlYly8mBZrgW4pYk/SNmZ2ev41SVU260ZeHOZ+3ycDJ5vZQxX9HoGbKm7AN6luxPNaDCQoh9HaQ9MqMz/HP+Nw+ruKqyUdiGt8W+C24PMavl8Zu+GZCjNXuUfwFUO/zMb3Uf6eNnHvBja1VCKxE40UFn8WzdJGNOX9uIaYFSr/Mu790bdAb0hte3sfnAw8jM//D+KCfDqwlaXI1E7kFZw2wbXjG3DzyLVlb5BbZY7CyquH/Qkvkn5Oum4r4KfZ6j63im/qi3+QpB9YSQRpryzWAj3HAbhNrdu5jFpeHHJXxoPx+pRDeJ6Qp/GkT0VP82Ezuyr9fbakhwYozGH0RK6tMctV7cPw6LrMjri/mZ1RcsmnccF7Bx62fiEDClc3rwO5TtLmhmxwucGfzGzTZvYHSb8tE+aJ0qLXA+ZePPgky9m9JFBmThhPatvb+2D13EPju7htfJUurog34h5YVa6BeZpWD/sdo7/vc9L/nXsJTfeH7gKOkEfB/hB3vy18aDVhaHh4osp4TjyS3oYvH4V/qRnL4BrJqyqufSGe3+FyeZL6qZ0TT9J+qf/ZZvb7dG513AZ/sZl9vaP9PYwOKjg8f1y2cVOX9DDJMsYthW8mQvfI2NuBLSwlGZLns7jcRkdIjisqyVSYUbHfUbf/B/EAn4z35Y+tIKpX0tYkH+4uJqh+xnU2Hj6eRfVugWc4fLBsXOM0jmzuwOj5MzAvF0m3mtkry4472laWY7SaofPyegOXW3WFqXEjyZH3pX8zcO+308zst730t7hr6A/ggSrvYvQm5WN4CG8hDbw4dsIF4YJkO8nNagfcHa5zZ/tqRteTzB9XbdzUoqHNNM8UG50x7m+UJEsCkBe0PoSRdMHZTd9PMeGqTIWD0Er27ziu3LSW9E3cjvwT4L8lvcpKyvT1yY8Y7fJ51Ti8R1f6mDtNqL1Jy+BC58uqhwEgz7tfZKIZyAPAvLDKV/AkZOvhm60H02PJycVaoJvZ7cDt8syBQ9SP5KzrxbGEFWROM7OHitwWe9iwWVhcLOkSXHsANzldWNH+OPyBeAt9VDDPYxWZCtOGZr/9N3V73BRYJ/k2L43bbcdDoP8QXwUMA7+zknJpbaDJQ8N6DJ0v8KMvrB6WI9/XDDyAaWDePUkOvBXX0DfHlbhG5fXyLNYCPcfGuDfDvdSL5KzrxTGv4j2rXptUmNn+kv4L13qGgDlmVhUo9A8zu6ji9UHzMYqLeY8n88zsaViQTGqgCarSnPoffMP3PnxFtFLa1Duoi8KxONEodL6pH33as8lzvUZyr/dMchbYDs/5/lPcvDfbzIoSuNUmBLrzNZpFctb14sgvIfMM4U/7SU/y4LnEzN5EfZPPlfIw97MY7fnRU0rQGgxUmNbkpRqJ4BzCo3p/weAiVg/DzUurZXszaSP48PRvoC6DizCNQuclXWFmm3c7l3tthdzhFNy887y+Rw0H4sFQn7DBBYqFQE80iuSkphfHQrI7jjfMAkUAABHJSURBVCvJpPC4pGUbeJRkpcLyxYOrUpr2y0Ts7BeGlw+QdwJr5AOWzMsSfhj4DSHQM2qFzqfAqKWBmfJcRJkSsAzlQWPgZsPsN5iPr+J3K21dE2ueJbIWIdCdRpGc5hXhzwbO7uJX3ohk1iilXy+XPngSuENeYT0fLl3mYbGbeYbGBSTvnp4psH1mZB4XAyF58OzO2Pqao/yU02bWeDJsBdGn6QG7+LqmdWD1Q+c/hEf9ziJlcUw8ChzT2VjShsAfLZUYTIGD78EF+q/6Hvg4EQLdqRvJ2dSvvCmZR8tzcLt+vtDsVfTp5dIHF1CdMa6TM0gRqTlOpzrispKmts8+OAff4LycAW3o9sivJO1kHUm+kofUbyZoTJOOAo8qADo9qnIRpXuZ2dE1us5K4GV1bA/FU++ui2fLfO8gxj9oQqDjkZzUy22yL55kf8NOv3JJ+3X6lfcwjl1Sn+fjfvB/TsfPp0CLWFjU9QCRJ/J/GbBsx2pjGRaRPQO83N4gUtP2y57AWfKSZtmyf0N8NfLuiRzYJKOpR9V3UyxDlhvnWuDbBd5DU3O27W1xR4AzgTMl9R0ANF4s1gJd5alYgcIEOU39yntlVRspcACep32NssbjhTxXzUpmdkw6vglP5QvwyYJI0TVx2+9yjPanfww3YywKnC/p7WZW5ZY5CjWrIl8LM/sT8Gp5fp+X4SvCi6xeStbFiaYeVSfi8zHT0rfDTa2dqT6maqRoxeZ43EnGpJWbk3ZgC4mmiXEa+ZX3wVU5v+9h3Ee1tPL8OPLJ9N4ZS+Ja4jPw0mCjBLqZnQOcI+k1ZnbDQhvlYNkHOFBeKOHfdI+ibVRFvilm9mNGTG/BWJp6VK3ZEeF8pYprwJ6Ke7PNBZ4g5YeR9GIGW2xmoCzuAn0J4LnWUcJM0usozu+wUPzKzeyjkt6NB69Ad7/v8WK6meUzy11nnkb0byrIES5P8ftV4P2Stut8fWGFqfdDD7b6Q2hQRT4YOE09qn4uaSNLeXrkha7HFAwxsy/Ji7o/H7g0t0E9BbelT0oWd4H+v7g/aCdPpNe27Di/MP3Kf4K7SQ0zPpnt6rB8/sDMPpo7XJGxZP6/Nxe8tsiQ3NpeQu43rQgya1pFPhggPbj/vRrYSVJWL3gV3Jf9DjriB6wgOVuvOVYWFou7QF/VzH7RedLMbi7SshaWX7nUOLvheHGTpN3NbFRRXEkfovghcxEslLqf44a8Qs0+eE7t24CN8LSsZRpf0yrywYCR9A58nyH/AC7zOnvrQhnUBLG4C/QqrXpgvs09cBDuSTMquyEdNuuFwH54Gt/3M+K7uz5uS9+6oP1PGSmgcbSZTdqlaQX74PsEN5rZZslzpyq3Rr6K/Kl4FfnxyOkSFCDp23jA0GZ4cN97KVA2chGfhal4BxmtOZEs7gL9ZyUa6G50ybY3zjTKbjhepDFsnPO0ALggbdQVkQ/Bf21Jm8nOk2b2pCTkdVR/I2nNssZm9jgu0GtVkQ8GzsZm9gpJvzCzz8sLXhTFa2Sun0VpIoZpXvBlUrK4C/R9gR9JykeGboB7LEykr2/T7IbjSgNPizZEMN4vaTm8XN9lkh6mYINcIxWLChmUl0vQlSfS/49LmoUrP6t1NsoiPtvOYl3gIkPSZsDa6fDOCg10odGR3fCaCfJyaYSkx/HSbUN4nvi700uDSli1UJH0emBZvBjJvILXSjGzvjPyBd2R11w9GvcVPwZ/yH7HzD5X0n7TovMVm96LFIu7hg6AmV3JxPh5V3E97gc9kV4uTRnvhFXjjqSN8If6Y2Z2taRn4dXkb8q3C4E9ObCRoiJnpgjrGV2SyOULmczAXU5vYfwSxy1UQqBPQiaRl0sjFkLCqoXBtxidh+ZfBeeQZGamgmjjRXI1sqiRS571l3S8E5486z5Jh5RtcprZKFdkSSsDXx3v8S4sQqBPTiaLl8viyFBHytr/yItNdJKla20abRwMhs7kWV+mt+RZ9zNibl3kCYE+OZkUXi6LKfdI2puRnNofAe7pbJTl2jGz+yQ9D1+6DwM/y7TGYFzpKXmWpKMZWVFNwR8ARaH/iyQh0Ccnk8rLpS6S5uDBRZdbqrKzCLIHcBTwGfzGv4LRiZlGkQKRPod7AWXmsS+Y2fcWwlgXZ3pNnpWPYp4PnNqZ+mNRJgT6JMS8hud7cF/uOjU8JwvfwyPxPiZpHp6B8mLzYtyLBGll9L6uDUfYH1gv5bhB0rPxSNEQ6ONLr8mzzsBjDZ5O7adKWjrFEyzyhECfROSTBmXLxwkeUiPS2G8EDkmC7c3AxyW9HPg5LtxtIsdYRpZYrGNJvoCKxGL3Mzr68DHgjyVtgwHRR/KsK3Db+z/T8VK44rHxeI11YRICfXLxTUZC528ws9dM8Hh6Jmmsp6Z/SFqfyZ1Ho1FisVQkAeBPeM6bc/AHwVYsOm6mizQ9Js+aYWaZMMfM/ilp6YEPboIIgT65yIclLyoVfmphZrcwsekUKjGz89KfP+ysXiNpZsElWZrd36V/GeeMw/CCwfEvSa/M8qUnReOJLtcsMoRAn1xMSalbp+T+XiDk25JAaJLzU0mzc/my34PXkxxVMcrMRiXsSgFIw3ntL5iU7AucLilL5/B83OmgFYRAn1wsi2uxmRDPV11pTQKhSc72wPckXYVXiH82FVGEktbGS5itkI7nAjuZ2Z3jP9SgKWb2s5RBc038PvuNmf17goc1MCKXSzBwJE0F3gGsyuhK7N2KcE8KJG2NC+nHgE3N7O6Ktj8BDkrpI5D0BuB/zKwVm2xtoSqyFCiNLF3UiGCVYDw4D/gArt0+K/dv0iPpOHxZ/gpgF+A8SXtWXPKMTJgDmNlVeM3VYHJxLKlMZC6y9CTcxXHOBI5roITJJRgPVlqEc5n8EvhgcoP7fUrWVbWyuCdl/Ds5He8A/H6cxxg0p6fI0kWN0NCD8eAiSW+e6EH0gpl9HZiRFbUws3+Y2W4Vl+yK11c9C/hR+nuXcR9o0JSpuZw8mzM6v39rFNvWfJA2IelkM9ux27lJzI144ZApeArgLAPhMhM7rO5I2hI4HC9yspqkdYEvlBWsMLOH8TqiweSm18jSRYoQ6JOTl+UP0ibj+hM0ll44AngNcEc+c+EiwiF4oq2rAMzsNkljqt1IOreqk6hYNLnoI7J0kSIE+iRC0gHAgcBSkh5Np4fwzZxFaePmLuCXi6AwB5hvZv/wlPQLKPocr8FD/E/Fi18U1aoMJhE9RpYuUoTb4iRE0qFmdsBEj6NXJJ2A+8xfBDyVnV8U3BaTl8sVwKdxt7a9gSXMbI+OdlOBLYDtcI+YC/DMfeF/HkwYsSk6OTlf0jMAJO0g6WuSXjjRg2rA73GhOJ1FzG0RX36/DH8QnQo8irsxjsLMnjazi81sZ2AjvH7qVZJas3wPFj3C5DI5+RawjqR1gE8Cx+E+s5WFiScRZ5rZLyd6EL2Q0qgelP5VImlJPIBqOzyI6ijc2yUIJoQQ6JOT+WY2LGkr4EgzO07SzhM9qAZ8W9J04ATgB2b2yASPpytNNzklnYiXLrsI+Pyi+gAL2kXY0Cchkq4GLsb9mTcFHgJuM7OXT+jAGiBpDXz82+DpZE8ws0sndlTlSHqIik1OM7u6o/1/8ALSUFwketK7aAbtIwT6JCTVqHw/Xp/yWkmrAG8ws5MmeGiNSBuHW+OmiEdxYXegmU06s0RscgZtIAR6MHAkZXlQ3gFcBhxnZrdKmgXcYGaTeoM32ca3Aw7Dg4qOnuAhBUEtwoY+CUn5Q44G/h/uKTIV+KeZLTuhA6vPN4Dv4Nr4guIBZvaApM9M3LCqiU3OYFEnNPRJiKSb8ULFpwMbADsBLzGzAyd0YC2mY5PztNjkDBZFQkOfpJjZ3ZKmpurkx6e825Oa5JWzkpkdk45vwpNVAXzSzM6YsMF1Z0d8k3MNYO9cpGhscgaLDCHQJyePJ7e/2yR9Ffgzi0aO7U/iK4uMJYEN8bEfD0xagW5mEWQXLPLEJJ6c7Ij/Nh/FtcaV8TD0yc50M/tj7vg6M/ubmf2BReOBFASLNKGhTyIkrWJmfzCz+9KpJ4HPV10zyVg+f2BmH80drkgQBONKaOiTi7OzPySdOZED6ZGbJO3eeVLSh/DgoiAIxpHQ0CcX+ejE1SdsFL2zH3C2pPcDt6Zz6+O29K0nbFRBsJgQAn1yMVzy9yKBmT0IbCzpjYwU6bjAzH5ccVkQBAMi/NAnEZKexjdBh4ClgMfTS+E6FwRBV0KgB0EQtITYFA2CIGgJIdCDIAhaQgj0IAiClhACPQiCoCWE22IwECRdAtxkZp/rOL8VcCyetGv+hAyuAElvweuGrodH5P4KOMLMKkvRpWvvBT5oZpeP6yCDoCGhoQeD4gRgR0lDHed3BE6ZZML8vXhq4pOAlYDnAp8DtpzIcXVDUihgQSXhthgMBElLAX8BtjSza9K55fFMka82s9tTAYkvAcKjR38E7GdmT0h6A/B94OvAp4Cn8QIZx6e+rgK+b2bfTccfwLXkTdLxS/GiIOvjNVg/a2ZWMM4h4D7gaDM7rOSzvAgv0LEOHuB1CbCnmT0i6WRge+CpNMYvmNlXU1GSrwFrpf73MbOrUn+rASfiq4GbgP8DljWzHdLr7wIOBV4A3AZ82Mx+nV67F/hWes81gc8AG5nZgmRtko4GnjazfUt+nmAxITT0YCCkykSGF+PIEPAbM7s9HX8Fzze+LvBiXIDlTTTPA5ZN53cDjkkPhUokPQMvdfcD4Dl4xaFvSnpZQfM18eyVVal8h3ABOwuvGrUycEj6nDsCf8AfXM9MwvwFeA3SLwIrAJ8AzpSUJST7AZ7L5tmpnx1zY18DL0y9L57A7ELgvJQ+OWM7vJLScvhD762SlkvXTwO2BU6u+o6CxYNYwgWD5ETgAkl7JQG/UzqXaca7A68ws7+nc/+DC7sD0vX/xjXe+cCFkv6JC+Abu7zvO4F7M20euDUlN3sv0Fnk+dnp/z+XdWZmdwN3p8OHJH0NOLji/XcALjSzC9PxZanq1NslXYnnhN/czOYB10nK2+m3xdMjXAYg6XBgH2Bj4KrU5qhcWuInJF0DbIOvIt4KzDWzWyrGFywmhEAPBoaZXSfpIWArST/9/+2dO2hUURCGP19N1EZRYqEpUxiDCKIWVmKwCUrEv/FRKAiCVfCFpFAQEkFIYWGhFokKyRBFUQtFEK0EES0NCCqrgRU3xhijplCLORuuy8aEuBFc52t2ufcw9+zC/nfOP7P34ELWkk4vAWqAJyW7Ac3JhCiUeO2jwIIpXLoOWCdpKHNsLuWz1kJ6XQa8LBdM0lJ8P9GNwEJ8JfthkuvvkJT14OcB9/Esf9DMRjPncnjWTzpffFwyZvZdUg5fpWTHZ+kCDuCCvovIzoNECHpQabrxzLweuGtm+XT8PfAFWGlmb6cR9zN+QyhSm3mfAx6Y2eYpxOlP47cDZyYY0457541mVpC0Dd/4ukhp4SkHXDKzco8OrgMWSarJiPryzJABYFVm/Kx0PvsdlV7vOnBOUgO+OjkywecI/jNC0INK040X7hrxx+kC45nneaBT0kEze5e85wYzuzOFuM+AFkkX8Kx2H1C8WdwCOiTtBnrSsdXASLG4mJnHD0mtwEVJBeAqMIJbHHvMbD+elX8EhtIcD5fMJc+vjze+DDxOrZD38Ox8PfDCzF4n++WEpDa8aNsM3CxOCTgmaRPwELdbvgET7iFrZl8l9ZG8+bQjVBBEUTSoLGb2Chej+UBpT/dR3Jt+JGkYF7/6KYbuBMZwMe0CrmSu+QlowvczHcC7bU7jnTTl5tiHe9d70/g8XtC8kYacBNbgon4buFYSoh1okzQk6VDyt7cCx/EOmxx+Eyj+vnYCG3C75xTQi4s2ZtaP2yZn8VVMM15wHZvk++jCM/uwW4Jxom0xCP4yknrx7p/fFVoni7ECeA7UmtlwxSYX/NOE5RIEM4yktcAgXoRtwrP5jj+INxtoBXpCzIMsIehBMPPU4rbNYuAN/sehp9MJlHru83hnzJaKzTCoCsJyCYIgqBKiKBoEQVAlhKAHQRBUCSHoQRAEVUIIehAEQZUQgh4EQVAl/AQRIcVsXSc84wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = south_lawndale_venues.groupby(['Venue Category'])['Neighborhood'].count()\n",
    "\n",
    "df.plot.bar()"
   ]
  }
 ],
 "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": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}