{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c6580c8b-b693-4ff0-bb44-0cecc8aac350",
   "metadata": {},
   "source": [
    "# Chicago Public Library Accessibility by Ward\n",
    "\n",
    "## 1. Overview / Introduction\n",
    "\n",
    "Access to public libraries plays an important role in supporting community education and equal access to resources. Libraries offer books, internet access, programming, and community gathering spaces that are very importatn for society.\n",
    "\n",
    "But access to these resources is not always evenly distributed across a city. Specifically, some wards might have multiple libraries within close proximity, while others might have none. Identifying these geographic disparities can help highlight where more investment in libraries might be most needed.\n",
    "\n",
    "In this analysis, we use spatial data science methods to:\n",
    "- Map the distribution of public libraries in Chicago \n",
    "- lay over the library locations with ward boundaries  \n",
    "- Count the number of libraries in each ward\n",
    "- Visualize the results with a choropleth map and proximity buffer zones\n",
    "\n",
    "This provides a spatial understanding of library accessibility that can be used to make decisions related to public service planning and equal resource allocation.\n",
    "\n",
    "## 2. Reading and Visualizing Input Data\n",
    "\n",
    "We will use:\n",
    "- A CSV file of library locations (that hav latitude and longitude coordinates)\n",
    "- A GeoJSON file of Chicago wards\n",
    "- Python geospatial libraries like geopandas, shapely, matplotlib\n",
    "\n",
    "These datasets will help us visualize both point data (library locations) and polygon data (ward boundaries) on a single map.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6bc7adf5-7dc2-465c-8282-f5cca0681896",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>BRANCH</th>\n",
       "      <th>SERVICE HOURS</th>\n",
       "      <th>ADDRESS</th>\n",
       "      <th>CITY</th>\n",
       "      <th>STATE</th>\n",
       "      <th>ZIP</th>\n",
       "      <th>PHONE</th>\n",
       "      <th>WEBSITE</th>\n",
       "      <th>BRANCH EMAIL</th>\n",
       "      <th>LOCATION</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Albany Park</td>\n",
       "      <td>Mon. &amp; Wed., 10-6; Tues. &amp; Thurs., Noon-8; Fri...</td>\n",
       "      <td>3401 W. Foster Ave.</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60625</td>\n",
       "      <td>(773) 539-5450</td>\n",
       "      <td>https://www.chipublib.org/locations/3/</td>\n",
       "      <td>albanypark@chipublib.org</td>\n",
       "      <td>(41.97557881655979, -87.71361314512697)</td>\n",
       "      <td>41.975579</td>\n",
       "      <td>-87.713613</td>\n",
       "      <td>POINT (-87.71361 41.97558)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Altgeld</td>\n",
       "      <td>Mon. &amp; Wed., Noon-8; Tue. &amp; Thu., 10-6; Fri. &amp;...</td>\n",
       "      <td>955 E. 131st St.</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60827</td>\n",
       "      <td>(312) 747-3270</td>\n",
       "      <td>https://www.chipublib.org/locations/4/</td>\n",
       "      <td>altgeld@chipublib.org</td>\n",
       "      <td>(41.65719847558056, -87.59883829075173)</td>\n",
       "      <td>41.657198</td>\n",
       "      <td>-87.598838</td>\n",
       "      <td>POINT (-87.59884 41.65720)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Archer Heights</td>\n",
       "      <td>Mon. &amp; Wed., Noon-8; Tue. &amp; Thu., 10-6; Fri. &amp;...</td>\n",
       "      <td>5055 S. Archer Ave.</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60632</td>\n",
       "      <td>(312) 747-9241</td>\n",
       "      <td>https://www.chipublib.org/locations/5/</td>\n",
       "      <td>archerheights@chipublib.org</td>\n",
       "      <td>(41.80110836194246, -87.72648385568911)</td>\n",
       "      <td>41.801108</td>\n",
       "      <td>-87.726484</td>\n",
       "      <td>POINT (-87.72648 41.80111)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Austin</td>\n",
       "      <td>Mon. &amp; Wed., Noon-8; Tues. &amp; Thurs., 10-6; Fri...</td>\n",
       "      <td>5615 W. Race Ave.</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60644</td>\n",
       "      <td>(312) 746-5038</td>\n",
       "      <td>https://www.chipublib.org/locations/6/</td>\n",
       "      <td>austin@chipublib.org</td>\n",
       "      <td>(41.88917312206642, -87.7658203582574)</td>\n",
       "      <td>41.889173</td>\n",
       "      <td>-87.765820</td>\n",
       "      <td>POINT (-87.76582 41.88917)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Austin-Irving</td>\n",
       "      <td>Mon. &amp; Wed., Noon-8; Tue. &amp; Thu., 10-6; Fri. &amp;...</td>\n",
       "      <td>6100 W. Irving Park Rd.</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60634</td>\n",
       "      <td>(312) 744-6222</td>\n",
       "      <td>https://www.chipublib.org/locations/7/</td>\n",
       "      <td>austin-irving@chipublib.org</td>\n",
       "      <td>(41.95312267684315, -87.77928489355646)</td>\n",
       "      <td>41.953123</td>\n",
       "      <td>-87.779285</td>\n",
       "      <td>POINT (-87.77928 41.95312)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>West Pullman</td>\n",
       "      <td>Mon. &amp; Wed., Noon-8; Tue. &amp; Thu., 10-6; Fri. &amp;...</td>\n",
       "      <td>830 W. 119th St.</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60643</td>\n",
       "      <td>(312) 747-1425</td>\n",
       "      <td>https://www.chipublib.org/locations/78/</td>\n",
       "      <td>westpullman@chipublib.org</td>\n",
       "      <td>(41.67790647382097, -87.6431683153105)</td>\n",
       "      <td>41.677906</td>\n",
       "      <td>-87.643168</td>\n",
       "      <td>POINT (-87.64317 41.67791)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>West Town</td>\n",
       "      <td>Mon. &amp; Wed., 10-6; Tues. &amp; Thurs., Noon-8; Fri...</td>\n",
       "      <td>1625 W. Chicago Ave.</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60622</td>\n",
       "      <td>(312) 743-0450</td>\n",
       "      <td>https://www.chipublib.org/locations/79/</td>\n",
       "      <td>westtown@chipublib.org</td>\n",
       "      <td>(41.89594730478282, -87.66829305460979)</td>\n",
       "      <td>41.895947</td>\n",
       "      <td>-87.668293</td>\n",
       "      <td>POINT (-87.66829 41.89595)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>Whitney M. Young, Jr.</td>\n",
       "      <td>Mon. &amp; Wed., 10-6; Tues. &amp; Thurs., Noon-8; Fri...</td>\n",
       "      <td>415 East 79th St.</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60619</td>\n",
       "      <td>(312) 747-0039</td>\n",
       "      <td>https://www.chipublib.org/locations/80/</td>\n",
       "      <td>whitneyyoung@chipublib.org</td>\n",
       "      <td>(41.7510184591363, -87.61495065361933)</td>\n",
       "      <td>41.751018</td>\n",
       "      <td>-87.614951</td>\n",
       "      <td>POINT (-87.61495 41.75102)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>Woodson Regional Library</td>\n",
       "      <td>Mon. - Thurs., 9-8; Fri. &amp; Sat., 9-5; Sun., 1-5</td>\n",
       "      <td>9525 S. Halsted St.</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60628</td>\n",
       "      <td>(312) 747-6900</td>\n",
       "      <td>https://www.chipublib.org/locations/81/</td>\n",
       "      <td>woodsonregional@chipublib.org</td>\n",
       "      <td>(41.720694885749005, -87.64304817213312)</td>\n",
       "      <td>41.720695</td>\n",
       "      <td>-87.643048</td>\n",
       "      <td>POINT (-87.64305 41.72069)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>Wrightwood-Ashburn</td>\n",
       "      <td>Mon. &amp; Wed., Noon-8; Tue. &amp; Thu., 10-6; Fri. &amp;...</td>\n",
       "      <td>8530 S. Kedzie Ave.</td>\n",
       "      <td>Chicago</td>\n",
       "      <td>IL</td>\n",
       "      <td>60652</td>\n",
       "      <td>(312) 747-2696</td>\n",
       "      <td>https://www.chipublib.org/locations/82/</td>\n",
       "      <td>wrightwood-ashburn@chipublib.org</td>\n",
       "      <td>(41.73795704970435, -87.70221598421591)</td>\n",
       "      <td>41.737957</td>\n",
       "      <td>-87.702216</td>\n",
       "      <td>POINT (-87.70222 41.73796)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>81 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      BRANCH  \\\n",
       "0                Albany Park   \n",
       "1                    Altgeld   \n",
       "2             Archer Heights   \n",
       "3                     Austin   \n",
       "4              Austin-Irving   \n",
       "..                       ...   \n",
       "76              West Pullman   \n",
       "77                 West Town   \n",
       "78     Whitney M. Young, Jr.   \n",
       "79  Woodson Regional Library   \n",
       "80        Wrightwood-Ashburn   \n",
       "\n",
       "                                        SERVICE HOURS  \\\n",
       "0   Mon. & Wed., 10-6; Tues. & Thurs., Noon-8; Fri...   \n",
       "1   Mon. & Wed., Noon-8; Tue. & Thu., 10-6; Fri. &...   \n",
       "2   Mon. & Wed., Noon-8; Tue. & Thu., 10-6; Fri. &...   \n",
       "3   Mon. & Wed., Noon-8; Tues. & Thurs., 10-6; Fri...   \n",
       "4   Mon. & Wed., Noon-8; Tue. & Thu., 10-6; Fri. &...   \n",
       "..                                                ...   \n",
       "76  Mon. & Wed., Noon-8; Tue. & Thu., 10-6; Fri. &...   \n",
       "77  Mon. & Wed., 10-6; Tues. & Thurs., Noon-8; Fri...   \n",
       "78  Mon. & Wed., 10-6; Tues. & Thurs., Noon-8; Fri...   \n",
       "79    Mon. - Thurs., 9-8; Fri. & Sat., 9-5; Sun., 1-5   \n",
       "80  Mon. & Wed., Noon-8; Tue. & Thu., 10-6; Fri. &...   \n",
       "\n",
       "                    ADDRESS     CITY STATE    ZIP           PHONE  \\\n",
       "0       3401 W. Foster Ave.  Chicago    IL  60625  (773) 539-5450   \n",
       "1          955 E. 131st St.  Chicago    IL  60827  (312) 747-3270   \n",
       "2       5055 S. Archer Ave.  Chicago    IL  60632  (312) 747-9241   \n",
       "3         5615 W. Race Ave.  Chicago    IL  60644  (312) 746-5038   \n",
       "4   6100 W. Irving Park Rd.  Chicago    IL  60634  (312) 744-6222   \n",
       "..                      ...      ...   ...    ...             ...   \n",
       "76         830 W. 119th St.  Chicago    IL  60643  (312) 747-1425   \n",
       "77     1625 W. Chicago Ave.  Chicago    IL  60622  (312) 743-0450   \n",
       "78        415 East 79th St.  Chicago    IL  60619  (312) 747-0039   \n",
       "79      9525 S. Halsted St.  Chicago    IL  60628  (312) 747-6900   \n",
       "80      8530 S. Kedzie Ave.  Chicago    IL  60652  (312) 747-2696   \n",
       "\n",
       "                                    WEBSITE                      BRANCH EMAIL  \\\n",
       "0    https://www.chipublib.org/locations/3/          albanypark@chipublib.org   \n",
       "1    https://www.chipublib.org/locations/4/             altgeld@chipublib.org   \n",
       "2    https://www.chipublib.org/locations/5/       archerheights@chipublib.org   \n",
       "3    https://www.chipublib.org/locations/6/              austin@chipublib.org   \n",
       "4    https://www.chipublib.org/locations/7/       austin-irving@chipublib.org   \n",
       "..                                      ...                               ...   \n",
       "76  https://www.chipublib.org/locations/78/         westpullman@chipublib.org   \n",
       "77  https://www.chipublib.org/locations/79/            westtown@chipublib.org   \n",
       "78  https://www.chipublib.org/locations/80/        whitneyyoung@chipublib.org   \n",
       "79  https://www.chipublib.org/locations/81/     woodsonregional@chipublib.org   \n",
       "80  https://www.chipublib.org/locations/82/  wrightwood-ashburn@chipublib.org   \n",
       "\n",
       "                                        LOCATION   Latitude  Longitude  \\\n",
       "0        (41.97557881655979, -87.71361314512697)  41.975579 -87.713613   \n",
       "1        (41.65719847558056, -87.59883829075173)  41.657198 -87.598838   \n",
       "2        (41.80110836194246, -87.72648385568911)  41.801108 -87.726484   \n",
       "3         (41.88917312206642, -87.7658203582574)  41.889173 -87.765820   \n",
       "4        (41.95312267684315, -87.77928489355646)  41.953123 -87.779285   \n",
       "..                                           ...        ...        ...   \n",
       "76        (41.67790647382097, -87.6431683153105)  41.677906 -87.643168   \n",
       "77       (41.89594730478282, -87.66829305460979)  41.895947 -87.668293   \n",
       "78        (41.7510184591363, -87.61495065361933)  41.751018 -87.614951   \n",
       "79      (41.720694885749005, -87.64304817213312)  41.720695 -87.643048   \n",
       "80       (41.73795704970435, -87.70221598421591)  41.737957 -87.702216   \n",
       "\n",
       "                      geometry  \n",
       "0   POINT (-87.71361 41.97558)  \n",
       "1   POINT (-87.59884 41.65720)  \n",
       "2   POINT (-87.72648 41.80111)  \n",
       "3   POINT (-87.76582 41.88917)  \n",
       "4   POINT (-87.77928 41.95312)  \n",
       "..                         ...  \n",
       "76  POINT (-87.64317 41.67791)  \n",
       "77  POINT (-87.66829 41.89595)  \n",
       "78  POINT (-87.61495 41.75102)  \n",
       "79  POINT (-87.64305 41.72069)  \n",
       "80  POINT (-87.70222 41.73796)  \n",
       "\n",
       "[81 rows x 13 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# import the livraries\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "from shapely.geometry import Point\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# load the datasets\n",
    "libraries_csv = pd.read_csv(\"library.csv\") \n",
    "# get logitude and latitude coordinates from the location column\n",
    "def coords(location_str):\n",
    "    # Remove whitespace\n",
    "    location_str = location_str.strip()\n",
    "    # Remove parentheses\n",
    "    location_str = location_str.strip(\"()\")\n",
    "    # Split by a comma\n",
    "    lat_str, lon_str = location_str.split(\",\")\n",
    "    # Convert to float\n",
    "    return float(lat_str.strip()), float(lon_str.strip())\n",
    "libraries_csv[\"Latitude\"], libraries_csv[\"Longitude\"] = zip(*libraries_csv[\"LOCATION\"].apply(coords))\n",
    "\n",
    "# geometry colum in data, creating the geodataframe\n",
    "geometry = [Point(xy) for xy in zip(libraries_csv[\"Longitude\"], libraries_csv[\"Latitude\"])]\n",
    "libraries = gpd.GeoDataFrame(libraries_csv, geometry=geometry)\n",
    "libraries.set_crs(epsg=4326, inplace=True)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "85beec48-8f26-4a4d-9b57-40350481d3a6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wards CRS: epsg:4326\n",
      "Libraries CRS: epsg:4326\n"
     ]
    }
   ],
   "source": [
    "# load the chicago wards\n",
    "wards = gpd.read_file(\"ward.geojson\")  \n",
    "# Check CRS\n",
    "print(\"Wards CRS:\", wards.crs)\n",
    "print(\"Libraries CRS:\", libraries.crs)\n",
    "libraries = libraries.to_crs(wards.crs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "fa60f29c-d389-46aa-a4dc-b4b8bd027d9c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "         BRANCH                                      SERVICE HOURS  \\\n",
      "0   Albany Park  Mon. & Wed., 10-6; Tues. & Thurs., Noon-8; Fri...   \n",
      "24    Edgebrook  Mon. & Wed., Noon-8; Tue. & Thu., 10-6; Fri. &...   \n",
      "47      Mayfair  Mon. & Wed., Noon-8; Tue. & Thu., 10-6; Fri. &...   \n",
      "1       Altgeld  Mon. & Wed., Noon-8; Tue. & Thu., 10-6; Fri. &...   \n",
      "57      Pullman  Mon. & Wed., 10-6; Tues. & Thurs., Noon-8; Fri...   \n",
      "\n",
      "                  ADDRESS     CITY STATE    ZIP           PHONE  \\\n",
      "0     3401 W. Foster Ave.  Chicago    IL  60625  (773) 539-5450   \n",
      "24     5331 W. Devon Ave.  Chicago    IL  60646  (312) 744-8313   \n",
      "47  4400 W. Lawrence Ave.  Chicago    IL  60630  (312) 744-1254   \n",
      "1        955 E. 131st St.  Chicago    IL  60827  (312) 747-3270   \n",
      "57  11001 S. Indiana Ave.  Chicago    IL  60628  (312) 747-2033   \n",
      "\n",
      "                                    WEBSITE              BRANCH EMAIL  \\\n",
      "0    https://www.chipublib.org/locations/3/  albanypark@chipublib.org   \n",
      "24  https://www.chipublib.org/locations/27/   edgebrook@chipublib.org   \n",
      "47  https://www.chipublib.org/locations/49/     mayfair@chipublib.org   \n",
      "1    https://www.chipublib.org/locations/4/     altgeld@chipublib.org   \n",
      "57  https://www.chipublib.org/locations/59/     pullman@chipublib.org   \n",
      "\n",
      "                                        LOCATION  ...  Longitude  \\\n",
      "0        (41.97557881655979, -87.71361314512697)  ... -87.713613   \n",
      "24      (41.997213372156295, -87.76211751799003)  ... -87.762118   \n",
      "47        (41.968242773953044, -87.737968778247)  ... -87.737969   \n",
      "1        (41.65719847558056, -87.59883829075173)  ... -87.598838   \n",
      "57        (41.69436481773882, -87.6181414059763)  ... -87.618141   \n",
      "\n",
      "                      geometry index_right                 :id  \\\n",
      "0   POINT (-87.71361 41.97558)          37  row-y6m9~urhh_6te3   \n",
      "24  POINT (-87.76212 41.99721)          37  row-y6m9~urhh_6te3   \n",
      "47  POINT (-87.73797 41.96824)          37  row-y6m9~urhh_6te3   \n",
      "1   POINT (-87.59884 41.65720)          42  row-d37w.29n3-ffh9   \n",
      "57  POINT (-87.61814 41.69436)          42  row-d37w.29n3-ffh9   \n",
      "\n",
      "             :version          :created_at          :updated_at ward  \\\n",
      "0   rv-aput~4quw~pmis  2015-12-02T18:17:40  2015-12-02T18:17:40   39   \n",
      "24  rv-aput~4quw~pmis  2015-12-02T18:17:40  2015-12-02T18:17:40   39   \n",
      "47  rv-aput~4quw~pmis  2015-12-02T18:17:40  2015-12-02T18:17:40   39   \n",
      "1   rv-zkab_gmf6~ev59  2015-12-02T18:17:40  2015-12-02T18:17:40    9   \n",
      "57  rv-zkab_gmf6~ev59  2015-12-02T18:17:40  2015-12-02T18:17:40    9   \n",
      "\n",
      "       shape_leng     shape_area  \n",
      "0   73079.9934303  175096482.287  \n",
      "24  73079.9934303  175096482.287  \n",
      "47  73079.9934303  175096482.287  \n",
      "1   111742.641889  257088769.485  \n",
      "57  111742.641889  257088769.485  \n",
      "\n",
      "[5 rows x 21 columns]\n"
     ]
    }
   ],
   "source": [
    "# assign each library to a ward\n",
    "libraries_in_wards = gpd.sjoin(libraries, wards, how=\"inner\", op='within')\n",
    "print(libraries_in_wards.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "382e7e5b-149e-403b-b028-c06ba32e55d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# count the libraries per ward\n",
    "library_counts = libraries_in_wards.groupby(\"ward\").size()\n",
    "wards[\"library_count\"] = wards[\"ward\"].map(library_counts).fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "40c28a10-29d7-4728-abe1-874668c1636e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  ward  library_count\n",
      "0   12            2.0\n",
      "1   16            1.0\n",
      "2   15            3.0\n",
      "3   20            3.0\n",
      "4   49            1.0\n"
     ]
    }
   ],
   "source": [
    "# check the counts\n",
    "print(wards[[\"ward\", \"library_count\"]].head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "c3c6f654-38a8-4dfb-a312-ffd17b3ee3a4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# choropleth map, shows libraires per ward\n",
    "fig, ax = plt.subplots(1, 1, figsize=(12,12))\n",
    "wards.plot(column=\"library_count\", ax=ax, legend=True, cmap=\"OrRd\",\n",
    "           legend_kwds={'label': \"Number of Libraries\", 'shrink': 0.6})\n",
    "# plot library points on top\n",
    "libraries.plot(ax=ax, markersize=25, label=\"Library\")\n",
    "\n",
    "plt.title(\"Chicago Library Accessibility by Ward\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "5f08a143-e527-4738-b987-e3a3b18e61b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_5997/3970442228.py:3: UserWarning: Geometry is in a geographic CRS. Results from 'buffer' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
      "\n",
      "  buffer[\"geometry\"] = buffer.geometry.buffer(1000)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wards with zero libraries:\n",
      "['35', '13', '33', '30', '42']\n"
     ]
    }
   ],
   "source": [
    "# Create buffer \n",
    "buffer = libraries.copy()\n",
    "buffer[\"geometry\"] = buffer.geometry.buffer(1000)\n",
    "\n",
    "fig, ax = plt.subplots(1, 1, figsize=(12, 12))\n",
    "wards.plot(ax=ax,)\n",
    "buffer.plot(ax=ax, alpha=0.5)\n",
    "plt.title(\"Apprx 1 km Library Coverage\")\n",
    "plt.axis(\"off\")\n",
    "plt.show()\n",
    "\n",
    "# find wards that dont have any libraries\n",
    "underserved = wards[wards[\"library_count\"] == 0]\n",
    "print(\"Wards with zero libraries:\")\n",
    "print(underserved[\"ward\"].tolist())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e4ce210-5312-4ded-88c8-b6e765b21c18",
   "metadata": {},
   "source": [
    "## 5. Conclusion\n",
    "\n",
    "Our spatial analysis shows that public library access in Chicago is uneven across wards. Some wards have multiple libraries while others have none. The choropleth map clearly shows this variation, and the 1 km buffer visualization shows which parts of the city are well covered versus underserved.\n",
    "\n",
    "Wards with low or zero library counts might face larger barriers to accessing library resources which could impact people’s access to books, technology, and community programs. This kind of spatial insight can help urban planning and city agencies target areas for future library investments.\n",
    "\n",
    "This project provies good insight we could take it one step further by incorporating population data to understand library access compared to the population  \n",
    "\n",
    "Overall, this analysis demonstrates how geospatial data science can inform equal distribution of public resources and be useful for more inclusive urban planning decisions.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d862a3cd-39d5-4625-86c5-92051d36bb69",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "language": "python",
   "name": "python3-0.8.0"
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   "codemirror_mode": {
    "name": "ipython",
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   "mimetype": "text/x-python",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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